mirror of
https://github.com/Significant-Gravitas/AutoGPT.git
synced 2026-02-10 23:05:17 -05:00
Compare commits
5 Commits
chore/comb
...
fix/code-r
| Author | SHA1 | Date | |
|---|---|---|---|
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92c74fec19 | ||
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a093d57ed2 | ||
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6692f39cbd | ||
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aeba28266c | ||
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6d8c83c039 |
@@ -52,7 +52,7 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Trigger deploy workflow
|
||||
uses: peter-evans/repository-dispatch@v4
|
||||
uses: peter-evans/repository-dispatch@v3
|
||||
with:
|
||||
token: ${{ secrets.DEPLOY_TOKEN }}
|
||||
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
|
||||
|
||||
@@ -45,7 +45,7 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Trigger deploy workflow
|
||||
uses: peter-evans/repository-dispatch@v4
|
||||
uses: peter-evans/repository-dispatch@v3
|
||||
with:
|
||||
token: ${{ secrets.DEPLOY_TOKEN }}
|
||||
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
|
||||
|
||||
@@ -82,7 +82,7 @@ jobs:
|
||||
|
||||
- name: Dispatch Deploy Event
|
||||
if: steps.check_status.outputs.should_deploy == 'true'
|
||||
uses: peter-evans/repository-dispatch@v4
|
||||
uses: peter-evans/repository-dispatch@v3
|
||||
with:
|
||||
token: ${{ secrets.DISPATCH_TOKEN }}
|
||||
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
|
||||
@@ -110,7 +110,7 @@ jobs:
|
||||
|
||||
- name: Dispatch Undeploy Event (from comment)
|
||||
if: steps.check_status.outputs.should_undeploy == 'true'
|
||||
uses: peter-evans/repository-dispatch@v4
|
||||
uses: peter-evans/repository-dispatch@v3
|
||||
with:
|
||||
token: ${{ secrets.DISPATCH_TOKEN }}
|
||||
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
|
||||
@@ -168,7 +168,7 @@ jobs:
|
||||
github.event_name == 'pull_request' &&
|
||||
github.event.action == 'closed' &&
|
||||
steps.check_pr_close.outputs.should_undeploy == 'true'
|
||||
uses: peter-evans/repository-dispatch@v4
|
||||
uses: peter-evans/repository-dispatch@v3
|
||||
with:
|
||||
token: ${{ secrets.DISPATCH_TOKEN }}
|
||||
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
|
||||
|
||||
4
.github/workflows/platform-fullstack-ci.yml
vendored
4
.github/workflows/platform-fullstack-ci.yml
vendored
@@ -56,7 +56,7 @@ jobs:
|
||||
run: pnpm install --frozen-lockfile
|
||||
|
||||
types:
|
||||
runs-on: big-boi
|
||||
runs-on: ubuntu-latest
|
||||
needs: setup
|
||||
strategy:
|
||||
fail-fast: false
|
||||
@@ -85,7 +85,7 @@ jobs:
|
||||
|
||||
- name: Run docker compose
|
||||
run: |
|
||||
docker compose -f ../docker-compose.yml --profile local up -d deps_backend
|
||||
docker compose -f ../docker-compose.yml --profile local --profile deps_backend up -d
|
||||
|
||||
- name: Restore dependencies cache
|
||||
uses: actions/cache@v5
|
||||
|
||||
295
autogpt_platform/autogpt_libs/poetry.lock
generated
295
autogpt_platform/autogpt_libs/poetry.lock
generated
@@ -1,4 +1,4 @@
|
||||
# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
|
||||
# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "annotated-doc"
|
||||
@@ -67,7 +67,7 @@ description = "Backport of asyncio.Runner, a context manager that controls event
|
||||
optional = false
|
||||
python-versions = "<3.11,>=3.8"
|
||||
groups = ["dev"]
|
||||
markers = "python_version < \"3.11\""
|
||||
markers = "python_version == \"3.10\""
|
||||
files = [
|
||||
{file = "backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5"},
|
||||
{file = "backports_asyncio_runner-1.2.0.tar.gz", hash = "sha256:a5aa7b2b7d8f8bfcaa2b57313f70792df84e32a2a746f585213373f900b42162"},
|
||||
@@ -326,118 +326,100 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "coverage"
|
||||
version = "7.13.4"
|
||||
version = "7.10.5"
|
||||
description = "Code coverage measurement for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.10"
|
||||
python-versions = ">=3.9"
|
||||
groups = ["dev"]
|
||||
files = [
|
||||
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|
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|
||||
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[package.dependencies]
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||||
@@ -541,7 +523,7 @@ description = "Backport of PEP 654 (exception groups)"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
groups = ["main", "dev"]
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||||
markers = "python_version < \"3.11\""
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@@ -1062,14 +1044,14 @@ urllib3 = ">=1.26.0,<3"
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||||
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||||
[[package]]
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||||
name = "launchdarkly-server-sdk"
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version = "9.14.1"
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description = "LaunchDarkly SDK for Python"
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optional = false
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python-versions = ">=3.10"
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python-versions = ">=3.9"
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groups = ["main"]
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[package.dependencies]
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||||
@@ -1478,14 +1460,14 @@ testing = ["coverage", "pytest", "pytest-benchmark"]
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||||
|
||||
[[package]]
|
||||
name = "postgrest"
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||||
version = "2.28.0"
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||||
version = "2.27.2"
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||||
description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
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||||
optional = false
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||||
python-versions = ">=3.9"
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||||
groups = ["main"]
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||||
[package.dependencies]
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||||
@@ -2135,21 +2117,21 @@ files = [
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||||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "9.0.2"
|
||||
version = "8.4.1"
|
||||
description = "pytest: simple powerful testing with Python"
|
||||
optional = false
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||||
python-versions = ">=3.10"
|
||||
python-versions = ">=3.9"
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||||
groups = ["dev"]
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||||
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||||
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||||
[package.dependencies]
|
||||
colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""}
|
||||
exceptiongroup = {version = ">=1", markers = "python_version < \"3.11\""}
|
||||
iniconfig = ">=1.0.1"
|
||||
packaging = ">=22"
|
||||
iniconfig = ">=1"
|
||||
packaging = ">=20"
|
||||
pluggy = ">=1.5,<2"
|
||||
pygments = ">=2.7.2"
|
||||
tomli = {version = ">=1", markers = "python_version < \"3.11\""}
|
||||
@@ -2180,23 +2162,23 @@ testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "pytest-cov"
|
||||
version = "7.0.0"
|
||||
version = "6.2.1"
|
||||
description = "Pytest plugin for measuring coverage."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["dev"]
|
||||
files = [
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||||
{file = "pytest_cov-6.2.1.tar.gz", hash = "sha256:25cc6cc0a5358204b8108ecedc51a9b57b34cc6b8c967cc2c01a4e00d8a67da2"},
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||||
]
|
||||
|
||||
[package.dependencies]
|
||||
coverage = {version = ">=7.10.6", extras = ["toml"]}
|
||||
coverage = {version = ">=7.5", extras = ["toml"]}
|
||||
pluggy = ">=1.2"
|
||||
pytest = ">=7"
|
||||
pytest = ">=6.2.5"
|
||||
|
||||
[package.extras]
|
||||
testing = ["process-tests", "pytest-xdist", "virtualenv"]
|
||||
testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
|
||||
|
||||
[[package]]
|
||||
name = "pytest-mock"
|
||||
@@ -2248,14 +2230,14 @@ cli = ["click (>=5.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "realtime"
|
||||
version = "2.28.0"
|
||||
version = "2.27.2"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
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||||
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||||
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||||
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||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2265,21 +2247,20 @@ websockets = ">=11,<16"
|
||||
|
||||
[[package]]
|
||||
name = "redis"
|
||||
version = "7.1.1"
|
||||
version = "6.2.0"
|
||||
description = "Python client for Redis database and key-value store"
|
||||
optional = false
|
||||
python-versions = ">=3.10"
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
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||||
{file = "redis-7.1.1-py3-none-any.whl", hash = "sha256:f77817f16071c2950492c67d40b771fa493eb3fccc630a424a10976dbb794b7a"},
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||||
{file = "redis-7.1.1.tar.gz", hash = "sha256:a2814b2bda15b39dad11391cc48edac4697214a8a5a4bd10abe936ab4892eb43"},
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||||
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||||
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||||
]
|
||||
|
||||
[package.dependencies]
|
||||
async-timeout = {version = ">=4.0.3", markers = "python_full_version < \"3.11.3\""}
|
||||
|
||||
[package.extras]
|
||||
circuit-breaker = ["pybreaker (>=1.4.0)"]
|
||||
hiredis = ["hiredis (>=3.2.0)"]
|
||||
jwt = ["pyjwt (>=2.9.0)"]
|
||||
ocsp = ["cryptography (>=36.0.1)", "pyopenssl (>=20.0.1)", "requests (>=2.31.0)"]
|
||||
@@ -2437,14 +2418,14 @@ full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart
|
||||
|
||||
[[package]]
|
||||
name = "storage3"
|
||||
version = "2.28.0"
|
||||
version = "2.27.2"
|
||||
description = "Supabase Storage client for Python."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "storage3-2.28.0-py3-none-any.whl", hash = "sha256:ecb50efd2ac71dabbdf97e99ad346eafa630c4c627a8e5a138ceb5fbbadae716"},
|
||||
{file = "storage3-2.28.0.tar.gz", hash = "sha256:bc1d008aff67de7a0f2bd867baee7aadbcdb6f78f5a310b4f7a38e8c13c19865"},
|
||||
{file = "storage3-2.27.2-py3-none-any.whl", hash = "sha256:e6f16e7a260729e7b1f46e9bf61746805a02e30f5e419ee1291007c432e3ec63"},
|
||||
{file = "storage3-2.27.2.tar.gz", hash = "sha256:cb4807b7f86b4bb1272ac6fdd2f3cfd8ba577297046fa5f88557425200275af5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2488,35 +2469,35 @@ python-dateutil = ">=2.6.0"
|
||||
|
||||
[[package]]
|
||||
name = "supabase"
|
||||
version = "2.28.0"
|
||||
version = "2.27.2"
|
||||
description = "Supabase client for Python."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "supabase-2.28.0-py3-none-any.whl", hash = "sha256:42776971c7d0ccca16034df1ab96a31c50228eb1eb19da4249ad2f756fc20272"},
|
||||
{file = "supabase-2.28.0.tar.gz", hash = "sha256:aea299aaab2a2eed3c57e0be7fc035c6807214194cce795a3575add20268ece1"},
|
||||
{file = "supabase-2.27.2-py3-none-any.whl", hash = "sha256:d4dce00b3a418ee578017ec577c0e5be47a9a636355009c76f20ed2faa15bc54"},
|
||||
{file = "supabase-2.27.2.tar.gz", hash = "sha256:2aed40e4f3454438822442a1e94a47be6694c2c70392e7ae99b51a226d4293f7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
httpx = ">=0.26,<0.29"
|
||||
postgrest = "2.28.0"
|
||||
realtime = "2.28.0"
|
||||
storage3 = "2.28.0"
|
||||
supabase-auth = "2.28.0"
|
||||
supabase-functions = "2.28.0"
|
||||
postgrest = "2.27.2"
|
||||
realtime = "2.27.2"
|
||||
storage3 = "2.27.2"
|
||||
supabase-auth = "2.27.2"
|
||||
supabase-functions = "2.27.2"
|
||||
yarl = ">=1.22.0"
|
||||
|
||||
[[package]]
|
||||
name = "supabase-auth"
|
||||
version = "2.28.0"
|
||||
version = "2.27.2"
|
||||
description = "Python Client Library for Supabase Auth"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "supabase_auth-2.28.0-py3-none-any.whl", hash = "sha256:2ac85026cc285054c7fa6d41924f3a333e9ec298c013e5b5e1754039ba7caec9"},
|
||||
{file = "supabase_auth-2.28.0.tar.gz", hash = "sha256:2bb8f18ff39934e44b28f10918db965659f3735cd6fbfcc022fe0b82dbf8233e"},
|
||||
{file = "supabase_auth-2.27.2-py3-none-any.whl", hash = "sha256:78ec25b11314d0a9527a7205f3b1c72560dccdc11b38392f80297ef98664ee91"},
|
||||
{file = "supabase_auth-2.27.2.tar.gz", hash = "sha256:0f5bcc79b3677cb42e9d321f3c559070cfa40d6a29a67672cc8382fb7dc2fe97"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2526,14 +2507,14 @@ pyjwt = {version = ">=2.10.1", extras = ["crypto"]}
|
||||
|
||||
[[package]]
|
||||
name = "supabase-functions"
|
||||
version = "2.28.0"
|
||||
version = "2.27.2"
|
||||
description = "Library for Supabase Functions"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "supabase_functions-2.28.0-py3-none-any.whl", hash = "sha256:30bf2d586f8df285faf0621bb5d5bb3ec3157234fc820553ca156f009475e4ae"},
|
||||
{file = "supabase_functions-2.28.0.tar.gz", hash = "sha256:db3dddfc37aca5858819eb461130968473bd8c75bd284581013958526dac718b"},
|
||||
{file = "supabase_functions-2.27.2-py3-none-any.whl", hash = "sha256:db480efc669d0bca07605b9b6f167312af43121adcc842a111f79bea416ef754"},
|
||||
{file = "supabase_functions-2.27.2.tar.gz", hash = "sha256:d0c8266207a94371cb3fd35ad3c7f025b78a97cf026861e04ccd35ac1775f80b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -2564,7 +2545,7 @@ description = "A lil' TOML parser"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["dev"]
|
||||
markers = "python_version < \"3.11\""
|
||||
markers = "python_version == \"3.10\""
|
||||
files = [
|
||||
{file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
|
||||
@@ -2912,4 +2893,4 @@ type = ["pytest-mypy"]
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.10,<4.0"
|
||||
content-hash = "3f738dbf158a0b9319387d7251cd557e8e143d4dec809c5ab720321d2b53e368"
|
||||
content-hash = "b7ac335a86aa44c3d7d2802298818b389a6f1286e3e9b7b0edb2ff06377cecaf"
|
||||
|
||||
@@ -13,20 +13,20 @@ cryptography = "^46.0"
|
||||
expiringdict = "^1.2.2"
|
||||
fastapi = "^0.128.0"
|
||||
google-cloud-logging = "^3.13.0"
|
||||
launchdarkly-server-sdk = "^9.15.0"
|
||||
launchdarkly-server-sdk = "^9.14.1"
|
||||
pydantic = "^2.12.5"
|
||||
pydantic-settings = "^2.12.0"
|
||||
pyjwt = { version = "^2.11.0", extras = ["crypto"] }
|
||||
redis = "^7.1.1"
|
||||
supabase = "^2.28.0"
|
||||
redis = "^6.2.0"
|
||||
supabase = "^2.27.2"
|
||||
uvicorn = "^0.40.0"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pyright = "^1.1.408"
|
||||
pytest = "^9.0.2"
|
||||
pytest = "^8.4.1"
|
||||
pytest-asyncio = "^1.3.0"
|
||||
pytest-mock = "^3.15.1"
|
||||
pytest-cov = "^7.0.0"
|
||||
pytest-cov = "^6.2.1"
|
||||
ruff = "^0.15.0"
|
||||
|
||||
[build-system]
|
||||
|
||||
@@ -93,12 +93,6 @@ class ChatConfig(BaseSettings):
|
||||
description="Name of the prompt in Langfuse to fetch",
|
||||
)
|
||||
|
||||
# Extended thinking configuration for Claude models
|
||||
thinking_enabled: bool = Field(
|
||||
default=True,
|
||||
description="Enable adaptive thinking for Claude models via OpenRouter",
|
||||
)
|
||||
|
||||
@field_validator("api_key", mode="before")
|
||||
@classmethod
|
||||
def get_api_key(cls, v):
|
||||
|
||||
@@ -45,7 +45,10 @@ async def create_chat_session(
|
||||
successfulAgentRuns=SafeJson({}),
|
||||
successfulAgentSchedules=SafeJson({}),
|
||||
)
|
||||
return await PrismaChatSession.prisma().create(data=data)
|
||||
return await PrismaChatSession.prisma().create(
|
||||
data=data,
|
||||
include={"Messages": True},
|
||||
)
|
||||
|
||||
|
||||
async def update_chat_session(
|
||||
|
||||
@@ -18,10 +18,6 @@ class ResponseType(str, Enum):
|
||||
START = "start"
|
||||
FINISH = "finish"
|
||||
|
||||
# Step lifecycle (one LLM API call within a message)
|
||||
START_STEP = "start-step"
|
||||
FINISH_STEP = "finish-step"
|
||||
|
||||
# Text streaming
|
||||
TEXT_START = "text-start"
|
||||
TEXT_DELTA = "text-delta"
|
||||
@@ -61,16 +57,6 @@ class StreamStart(StreamBaseResponse):
|
||||
description="Task ID for SSE reconnection. Clients can reconnect using GET /tasks/{taskId}/stream",
|
||||
)
|
||||
|
||||
def to_sse(self) -> str:
|
||||
"""Convert to SSE format, excluding non-protocol fields like taskId."""
|
||||
import json
|
||||
|
||||
data: dict[str, Any] = {
|
||||
"type": self.type.value,
|
||||
"messageId": self.messageId,
|
||||
}
|
||||
return f"data: {json.dumps(data)}\n\n"
|
||||
|
||||
|
||||
class StreamFinish(StreamBaseResponse):
|
||||
"""End of message/stream."""
|
||||
@@ -78,26 +64,6 @@ class StreamFinish(StreamBaseResponse):
|
||||
type: ResponseType = ResponseType.FINISH
|
||||
|
||||
|
||||
class StreamStartStep(StreamBaseResponse):
|
||||
"""Start of a step (one LLM API call within a message).
|
||||
|
||||
The AI SDK uses this to add a step-start boundary to message.parts,
|
||||
enabling visual separation between multiple LLM calls in a single message.
|
||||
"""
|
||||
|
||||
type: ResponseType = ResponseType.START_STEP
|
||||
|
||||
|
||||
class StreamFinishStep(StreamBaseResponse):
|
||||
"""End of a step (one LLM API call within a message).
|
||||
|
||||
The AI SDK uses this to reset activeTextParts and activeReasoningParts,
|
||||
so the next LLM call in a tool-call continuation starts with clean state.
|
||||
"""
|
||||
|
||||
type: ResponseType = ResponseType.FINISH_STEP
|
||||
|
||||
|
||||
# ========== Text Streaming ==========
|
||||
|
||||
|
||||
@@ -151,7 +117,7 @@ class StreamToolOutputAvailable(StreamBaseResponse):
|
||||
type: ResponseType = ResponseType.TOOL_OUTPUT_AVAILABLE
|
||||
toolCallId: str = Field(..., description="Tool call ID this responds to")
|
||||
output: str | dict[str, Any] = Field(..., description="Tool execution output")
|
||||
# Keep these for internal backend use
|
||||
# Additional fields for internal use (not part of AI SDK spec but useful)
|
||||
toolName: str | None = Field(
|
||||
default=None, description="Name of the tool that was executed"
|
||||
)
|
||||
@@ -159,17 +125,6 @@ class StreamToolOutputAvailable(StreamBaseResponse):
|
||||
default=True, description="Whether the tool execution succeeded"
|
||||
)
|
||||
|
||||
def to_sse(self) -> str:
|
||||
"""Convert to SSE format, excluding non-spec fields."""
|
||||
import json
|
||||
|
||||
data = {
|
||||
"type": self.type.value,
|
||||
"toolCallId": self.toolCallId,
|
||||
"output": self.output,
|
||||
}
|
||||
return f"data: {json.dumps(data)}\n\n"
|
||||
|
||||
|
||||
# ========== Other ==========
|
||||
|
||||
|
||||
@@ -6,7 +6,7 @@ from collections.abc import AsyncGenerator
|
||||
from typing import Annotated
|
||||
|
||||
from autogpt_libs import auth
|
||||
from fastapi import APIRouter, Depends, Header, HTTPException, Query, Response, Security
|
||||
from fastapi import APIRouter, Depends, Header, HTTPException, Query, Security
|
||||
from fastapi.responses import StreamingResponse
|
||||
from pydantic import BaseModel
|
||||
|
||||
@@ -17,29 +17,7 @@ from . import stream_registry
|
||||
from .completion_handler import process_operation_failure, process_operation_success
|
||||
from .config import ChatConfig
|
||||
from .model import ChatSession, create_chat_session, get_chat_session, get_user_sessions
|
||||
from .response_model import StreamFinish, StreamHeartbeat
|
||||
from .tools.models import (
|
||||
AgentDetailsResponse,
|
||||
AgentOutputResponse,
|
||||
AgentPreviewResponse,
|
||||
AgentSavedResponse,
|
||||
AgentsFoundResponse,
|
||||
BlockListResponse,
|
||||
BlockOutputResponse,
|
||||
ClarificationNeededResponse,
|
||||
DocPageResponse,
|
||||
DocSearchResultsResponse,
|
||||
ErrorResponse,
|
||||
ExecutionStartedResponse,
|
||||
InputValidationErrorResponse,
|
||||
NeedLoginResponse,
|
||||
NoResultsResponse,
|
||||
OperationInProgressResponse,
|
||||
OperationPendingResponse,
|
||||
OperationStartedResponse,
|
||||
SetupRequirementsResponse,
|
||||
UnderstandingUpdatedResponse,
|
||||
)
|
||||
from .response_model import StreamFinish, StreamHeartbeat, StreamStart
|
||||
|
||||
config = ChatConfig()
|
||||
|
||||
@@ -288,36 +266,12 @@ async def stream_chat_post(
|
||||
|
||||
"""
|
||||
import asyncio
|
||||
import time
|
||||
|
||||
stream_start_time = time.perf_counter()
|
||||
log_meta = {"component": "ChatStream", "session_id": session_id}
|
||||
if user_id:
|
||||
log_meta["user_id"] = user_id
|
||||
|
||||
logger.info(
|
||||
f"[TIMING] stream_chat_post STARTED, session={session_id}, "
|
||||
f"user={user_id}, message_len={len(request.message)}",
|
||||
extra={"json_fields": log_meta},
|
||||
)
|
||||
|
||||
session = await _validate_and_get_session(session_id, user_id)
|
||||
logger.info(
|
||||
f"[TIMING] session validated in {(time.perf_counter() - stream_start_time)*1000:.1f}ms",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"duration_ms": (time.perf_counter() - stream_start_time) * 1000,
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
# Create a task in the stream registry for reconnection support
|
||||
task_id = str(uuid_module.uuid4())
|
||||
operation_id = str(uuid_module.uuid4())
|
||||
log_meta["task_id"] = task_id
|
||||
|
||||
task_create_start = time.perf_counter()
|
||||
await stream_registry.create_task(
|
||||
task_id=task_id,
|
||||
session_id=session_id,
|
||||
@@ -326,28 +280,14 @@ async def stream_chat_post(
|
||||
tool_name="chat",
|
||||
operation_id=operation_id,
|
||||
)
|
||||
logger.info(
|
||||
f"[TIMING] create_task completed in {(time.perf_counter() - task_create_start)*1000:.1f}ms",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"duration_ms": (time.perf_counter() - task_create_start) * 1000,
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
# Background task that runs the AI generation independently of SSE connection
|
||||
async def run_ai_generation():
|
||||
import time as time_module
|
||||
|
||||
gen_start_time = time_module.perf_counter()
|
||||
logger.info(
|
||||
f"[TIMING] run_ai_generation STARTED, task={task_id}, session={session_id}, user={user_id}",
|
||||
extra={"json_fields": log_meta},
|
||||
)
|
||||
first_chunk_time, ttfc = None, None
|
||||
chunk_count = 0
|
||||
try:
|
||||
# Emit a start event with task_id for reconnection
|
||||
start_chunk = StreamStart(messageId=task_id, taskId=task_id)
|
||||
await stream_registry.publish_chunk(task_id, start_chunk)
|
||||
|
||||
async for chunk in chat_service.stream_chat_completion(
|
||||
session_id,
|
||||
request.message,
|
||||
@@ -355,79 +295,25 @@ async def stream_chat_post(
|
||||
user_id=user_id,
|
||||
session=session, # Pass pre-fetched session to avoid double-fetch
|
||||
context=request.context,
|
||||
_task_id=task_id, # Pass task_id so service emits start with taskId for reconnection
|
||||
):
|
||||
chunk_count += 1
|
||||
if first_chunk_time is None:
|
||||
first_chunk_time = time_module.perf_counter()
|
||||
ttfc = first_chunk_time - gen_start_time
|
||||
logger.info(
|
||||
f"[TIMING] FIRST AI CHUNK at {ttfc:.2f}s, type={type(chunk).__name__}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"chunk_type": type(chunk).__name__,
|
||||
"time_to_first_chunk_ms": ttfc * 1000,
|
||||
}
|
||||
},
|
||||
)
|
||||
# Write to Redis (subscribers will receive via XREAD)
|
||||
await stream_registry.publish_chunk(task_id, chunk)
|
||||
|
||||
gen_end_time = time_module.perf_counter()
|
||||
total_time = (gen_end_time - gen_start_time) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] run_ai_generation FINISHED in {total_time/1000:.1f}s; "
|
||||
f"task={task_id}, session={session_id}, "
|
||||
f"ttfc={ttfc or -1:.2f}s, n_chunks={chunk_count}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"total_time_ms": total_time,
|
||||
"time_to_first_chunk_ms": (
|
||||
ttfc * 1000 if ttfc is not None else None
|
||||
),
|
||||
"n_chunks": chunk_count,
|
||||
}
|
||||
},
|
||||
)
|
||||
# Mark task as completed
|
||||
await stream_registry.mark_task_completed(task_id, "completed")
|
||||
except Exception as e:
|
||||
elapsed = time_module.perf_counter() - gen_start_time
|
||||
logger.error(
|
||||
f"[TIMING] run_ai_generation ERROR after {elapsed:.2f}s: {e}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"elapsed_ms": elapsed * 1000,
|
||||
"error": str(e),
|
||||
}
|
||||
},
|
||||
f"Error in background AI generation for session {session_id}: {e}"
|
||||
)
|
||||
await stream_registry.mark_task_completed(task_id, "failed")
|
||||
|
||||
# Start the AI generation in a background task
|
||||
bg_task = asyncio.create_task(run_ai_generation())
|
||||
await stream_registry.set_task_asyncio_task(task_id, bg_task)
|
||||
setup_time = (time.perf_counter() - stream_start_time) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] Background task started, setup={setup_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "setup_time_ms": setup_time}},
|
||||
)
|
||||
|
||||
# SSE endpoint that subscribes to the task's stream
|
||||
async def event_generator() -> AsyncGenerator[str, None]:
|
||||
import time as time_module
|
||||
|
||||
event_gen_start = time_module.perf_counter()
|
||||
logger.info(
|
||||
f"[TIMING] event_generator STARTED, task={task_id}, session={session_id}, "
|
||||
f"user={user_id}",
|
||||
extra={"json_fields": log_meta},
|
||||
)
|
||||
subscriber_queue = None
|
||||
first_chunk_yielded = False
|
||||
chunks_yielded = 0
|
||||
try:
|
||||
# Subscribe to the task stream (this replays existing messages + live updates)
|
||||
subscriber_queue = await stream_registry.subscribe_to_task(
|
||||
@@ -442,70 +328,22 @@ async def stream_chat_post(
|
||||
return
|
||||
|
||||
# Read from the subscriber queue and yield to SSE
|
||||
logger.info(
|
||||
"[TIMING] Starting to read from subscriber_queue",
|
||||
extra={"json_fields": log_meta},
|
||||
)
|
||||
while True:
|
||||
try:
|
||||
chunk = await asyncio.wait_for(subscriber_queue.get(), timeout=30.0)
|
||||
chunks_yielded += 1
|
||||
|
||||
if not first_chunk_yielded:
|
||||
first_chunk_yielded = True
|
||||
elapsed = time_module.perf_counter() - event_gen_start
|
||||
logger.info(
|
||||
f"[TIMING] FIRST CHUNK from queue at {elapsed:.2f}s, "
|
||||
f"type={type(chunk).__name__}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"chunk_type": type(chunk).__name__,
|
||||
"elapsed_ms": elapsed * 1000,
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
yield chunk.to_sse()
|
||||
|
||||
# Check for finish signal
|
||||
if isinstance(chunk, StreamFinish):
|
||||
total_time = time_module.perf_counter() - event_gen_start
|
||||
logger.info(
|
||||
f"[TIMING] StreamFinish received in {total_time:.2f}s; "
|
||||
f"n_chunks={chunks_yielded}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"chunks_yielded": chunks_yielded,
|
||||
"total_time_ms": total_time * 1000,
|
||||
}
|
||||
},
|
||||
)
|
||||
break
|
||||
except asyncio.TimeoutError:
|
||||
# Send heartbeat to keep connection alive
|
||||
yield StreamHeartbeat().to_sse()
|
||||
|
||||
except GeneratorExit:
|
||||
logger.info(
|
||||
f"[TIMING] GeneratorExit (client disconnected), chunks={chunks_yielded}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"chunks_yielded": chunks_yielded,
|
||||
"reason": "client_disconnect",
|
||||
}
|
||||
},
|
||||
)
|
||||
pass # Client disconnected - background task continues
|
||||
except Exception as e:
|
||||
elapsed = (time_module.perf_counter() - event_gen_start) * 1000
|
||||
logger.error(
|
||||
f"[TIMING] event_generator ERROR after {elapsed:.1f}ms: {e}",
|
||||
extra={
|
||||
"json_fields": {**log_meta, "elapsed_ms": elapsed, "error": str(e)}
|
||||
},
|
||||
)
|
||||
logger.error(f"Error in SSE stream for task {task_id}: {e}")
|
||||
finally:
|
||||
# Unsubscribe when client disconnects or stream ends to prevent resource leak
|
||||
if subscriber_queue is not None:
|
||||
@@ -519,18 +357,6 @@ async def stream_chat_post(
|
||||
exc_info=True,
|
||||
)
|
||||
# AI SDK protocol termination - always yield even if unsubscribe fails
|
||||
total_time = time_module.perf_counter() - event_gen_start
|
||||
logger.info(
|
||||
f"[TIMING] event_generator FINISHED in {total_time:.2f}s; "
|
||||
f"task={task_id}, session={session_id}, n_chunks={chunks_yielded}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"total_time_ms": total_time * 1000,
|
||||
"chunks_yielded": chunks_yielded,
|
||||
}
|
||||
},
|
||||
)
|
||||
yield "data: [DONE]\n\n"
|
||||
|
||||
return StreamingResponse(
|
||||
@@ -548,90 +374,63 @@ async def stream_chat_post(
|
||||
@router.get(
|
||||
"/sessions/{session_id}/stream",
|
||||
)
|
||||
async def resume_session_stream(
|
||||
async def stream_chat_get(
|
||||
session_id: str,
|
||||
message: Annotated[str, Query(min_length=1, max_length=10000)],
|
||||
user_id: str | None = Depends(auth.get_user_id),
|
||||
is_user_message: bool = Query(default=True),
|
||||
):
|
||||
"""
|
||||
Resume an active stream for a session.
|
||||
Stream chat responses for a session (GET - legacy endpoint).
|
||||
|
||||
Called by the AI SDK's ``useChat(resume: true)`` on page load.
|
||||
Checks for an active (in-progress) task on the session and either replays
|
||||
the full SSE stream or returns 204 No Content if nothing is running.
|
||||
Streams the AI/completion responses in real time over Server-Sent Events (SSE), including:
|
||||
- Text fragments as they are generated
|
||||
- Tool call UI elements (if invoked)
|
||||
- Tool execution results
|
||||
|
||||
Args:
|
||||
session_id: The chat session identifier.
|
||||
session_id: The chat session identifier to associate with the streamed messages.
|
||||
message: The user's new message to process.
|
||||
user_id: Optional authenticated user ID.
|
||||
|
||||
is_user_message: Whether the message is a user message.
|
||||
Returns:
|
||||
StreamingResponse (SSE) when an active stream exists,
|
||||
or 204 No Content when there is nothing to resume.
|
||||
StreamingResponse: SSE-formatted response chunks.
|
||||
|
||||
"""
|
||||
import asyncio
|
||||
|
||||
active_task, _last_id = await stream_registry.get_active_task_for_session(
|
||||
session_id, user_id
|
||||
)
|
||||
|
||||
if not active_task:
|
||||
return Response(status_code=204)
|
||||
|
||||
subscriber_queue = await stream_registry.subscribe_to_task(
|
||||
task_id=active_task.task_id,
|
||||
user_id=user_id,
|
||||
last_message_id="0-0", # Full replay so useChat rebuilds the message
|
||||
)
|
||||
|
||||
if subscriber_queue is None:
|
||||
return Response(status_code=204)
|
||||
session = await _validate_and_get_session(session_id, user_id)
|
||||
|
||||
async def event_generator() -> AsyncGenerator[str, None]:
|
||||
chunk_count = 0
|
||||
first_chunk_type: str | None = None
|
||||
try:
|
||||
while True:
|
||||
try:
|
||||
chunk = await asyncio.wait_for(subscriber_queue.get(), timeout=30.0)
|
||||
if chunk_count < 3:
|
||||
logger.info(
|
||||
"Resume stream chunk",
|
||||
extra={
|
||||
"session_id": session_id,
|
||||
"chunk_type": str(chunk.type),
|
||||
},
|
||||
)
|
||||
if not first_chunk_type:
|
||||
first_chunk_type = str(chunk.type)
|
||||
chunk_count += 1
|
||||
yield chunk.to_sse()
|
||||
|
||||
if isinstance(chunk, StreamFinish):
|
||||
break
|
||||
except asyncio.TimeoutError:
|
||||
yield StreamHeartbeat().to_sse()
|
||||
except GeneratorExit:
|
||||
pass
|
||||
except Exception as e:
|
||||
logger.error(f"Error in resume stream for session {session_id}: {e}")
|
||||
finally:
|
||||
try:
|
||||
await stream_registry.unsubscribe_from_task(
|
||||
active_task.task_id, subscriber_queue
|
||||
async for chunk in chat_service.stream_chat_completion(
|
||||
session_id,
|
||||
message,
|
||||
is_user_message=is_user_message,
|
||||
user_id=user_id,
|
||||
session=session, # Pass pre-fetched session to avoid double-fetch
|
||||
):
|
||||
if chunk_count < 3:
|
||||
logger.info(
|
||||
"Chat stream chunk",
|
||||
extra={
|
||||
"session_id": session_id,
|
||||
"chunk_type": str(chunk.type),
|
||||
},
|
||||
)
|
||||
except Exception as unsub_err:
|
||||
logger.error(
|
||||
f"Error unsubscribing from task {active_task.task_id}: {unsub_err}",
|
||||
exc_info=True,
|
||||
)
|
||||
logger.info(
|
||||
"Resume stream completed",
|
||||
extra={
|
||||
"session_id": session_id,
|
||||
"n_chunks": chunk_count,
|
||||
"first_chunk_type": first_chunk_type,
|
||||
},
|
||||
)
|
||||
yield "data: [DONE]\n\n"
|
||||
if not first_chunk_type:
|
||||
first_chunk_type = str(chunk.type)
|
||||
chunk_count += 1
|
||||
yield chunk.to_sse()
|
||||
logger.info(
|
||||
"Chat stream completed",
|
||||
extra={
|
||||
"session_id": session_id,
|
||||
"chunk_count": chunk_count,
|
||||
"first_chunk_type": first_chunk_type,
|
||||
},
|
||||
)
|
||||
# AI SDK protocol termination
|
||||
yield "data: [DONE]\n\n"
|
||||
|
||||
return StreamingResponse(
|
||||
event_generator(),
|
||||
@@ -639,8 +438,8 @@ async def resume_session_stream(
|
||||
headers={
|
||||
"Cache-Control": "no-cache",
|
||||
"Connection": "keep-alive",
|
||||
"X-Accel-Buffering": "no",
|
||||
"x-vercel-ai-ui-message-stream": "v1",
|
||||
"X-Accel-Buffering": "no", # Disable nginx buffering
|
||||
"x-vercel-ai-ui-message-stream": "v1", # AI SDK protocol header
|
||||
},
|
||||
)
|
||||
|
||||
@@ -952,42 +751,3 @@ async def health_check() -> dict:
|
||||
"service": "chat",
|
||||
"version": "0.1.0",
|
||||
}
|
||||
|
||||
|
||||
# ========== Schema Export (for OpenAPI / Orval codegen) ==========
|
||||
|
||||
ToolResponseUnion = (
|
||||
AgentsFoundResponse
|
||||
| NoResultsResponse
|
||||
| AgentDetailsResponse
|
||||
| SetupRequirementsResponse
|
||||
| ExecutionStartedResponse
|
||||
| NeedLoginResponse
|
||||
| ErrorResponse
|
||||
| InputValidationErrorResponse
|
||||
| AgentOutputResponse
|
||||
| UnderstandingUpdatedResponse
|
||||
| AgentPreviewResponse
|
||||
| AgentSavedResponse
|
||||
| ClarificationNeededResponse
|
||||
| BlockListResponse
|
||||
| BlockOutputResponse
|
||||
| DocSearchResultsResponse
|
||||
| DocPageResponse
|
||||
| OperationStartedResponse
|
||||
| OperationPendingResponse
|
||||
| OperationInProgressResponse
|
||||
)
|
||||
|
||||
|
||||
@router.get(
|
||||
"/schema/tool-responses",
|
||||
response_model=ToolResponseUnion,
|
||||
include_in_schema=True,
|
||||
summary="[Dummy] Tool response type export for codegen",
|
||||
description="This endpoint is not meant to be called. It exists solely to "
|
||||
"expose tool response models in the OpenAPI schema for frontend codegen.",
|
||||
)
|
||||
async def _tool_response_schema() -> ToolResponseUnion: # type: ignore[return]
|
||||
"""Never called at runtime. Exists only so Orval generates TS types."""
|
||||
raise HTTPException(status_code=501, detail="Schema-only endpoint")
|
||||
|
||||
@@ -1,12 +1,15 @@
|
||||
import asyncio
|
||||
import logging
|
||||
import time
|
||||
import uuid as uuid_module
|
||||
from asyncio import CancelledError
|
||||
from collections.abc import AsyncGenerator
|
||||
from typing import TYPE_CHECKING, Any, cast
|
||||
|
||||
import openai
|
||||
|
||||
from backend.util.prompt import compress_context
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from backend.util.prompt import CompressResult
|
||||
|
||||
@@ -52,10 +55,8 @@ from .response_model import (
|
||||
StreamBaseResponse,
|
||||
StreamError,
|
||||
StreamFinish,
|
||||
StreamFinishStep,
|
||||
StreamHeartbeat,
|
||||
StreamStart,
|
||||
StreamStartStep,
|
||||
StreamTextDelta,
|
||||
StreamTextEnd,
|
||||
StreamTextStart,
|
||||
@@ -353,10 +354,6 @@ async def stream_chat_completion(
|
||||
retry_count: int = 0,
|
||||
session: ChatSession | None = None,
|
||||
context: dict[str, str] | None = None, # {url: str, content: str}
|
||||
_continuation_message_id: (
|
||||
str | None
|
||||
) = None, # Internal: reuse message ID for tool call continuations
|
||||
_task_id: str | None = None, # Internal: task ID for SSE reconnection support
|
||||
) -> AsyncGenerator[StreamBaseResponse, None]:
|
||||
"""Main entry point for streaming chat completions with database handling.
|
||||
|
||||
@@ -377,45 +374,21 @@ async def stream_chat_completion(
|
||||
ValueError: If max_context_messages is exceeded
|
||||
|
||||
"""
|
||||
completion_start = time.monotonic()
|
||||
|
||||
# Build log metadata for structured logging
|
||||
log_meta = {"component": "ChatService", "session_id": session_id}
|
||||
if user_id:
|
||||
log_meta["user_id"] = user_id
|
||||
|
||||
logger.info(
|
||||
f"[TIMING] stream_chat_completion STARTED, session={session_id}, user={user_id}, "
|
||||
f"message_len={len(message) if message else 0}, is_user={is_user_message}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"message_len": len(message) if message else 0,
|
||||
"is_user_message": is_user_message,
|
||||
}
|
||||
},
|
||||
f"Streaming chat completion for session {session_id} for message {message} and user id {user_id}. Message is user message: {is_user_message}"
|
||||
)
|
||||
|
||||
# Only fetch from Redis if session not provided (initial call)
|
||||
if session is None:
|
||||
fetch_start = time.monotonic()
|
||||
session = await get_chat_session(session_id, user_id)
|
||||
fetch_time = (time.monotonic() - fetch_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] get_chat_session took {fetch_time:.1f}ms, "
|
||||
f"n_messages={len(session.messages) if session else 0}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"duration_ms": fetch_time,
|
||||
"n_messages": len(session.messages) if session else 0,
|
||||
}
|
||||
},
|
||||
f"Fetched session from Redis: {session.session_id if session else 'None'}, "
|
||||
f"message_count={len(session.messages) if session else 0}"
|
||||
)
|
||||
else:
|
||||
logger.info(
|
||||
f"[TIMING] Using provided session, messages={len(session.messages)}",
|
||||
extra={"json_fields": {**log_meta, "n_messages": len(session.messages)}},
|
||||
f"Using provided session object: {session.session_id}, "
|
||||
f"message_count={len(session.messages)}"
|
||||
)
|
||||
|
||||
if not session:
|
||||
@@ -436,25 +409,17 @@ async def stream_chat_completion(
|
||||
|
||||
# Track user message in PostHog
|
||||
if is_user_message:
|
||||
posthog_start = time.monotonic()
|
||||
track_user_message(
|
||||
user_id=user_id,
|
||||
session_id=session_id,
|
||||
message_length=len(message),
|
||||
)
|
||||
posthog_time = (time.monotonic() - posthog_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] track_user_message took {posthog_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "duration_ms": posthog_time}},
|
||||
)
|
||||
|
||||
upsert_start = time.monotonic()
|
||||
session = await upsert_chat_session(session)
|
||||
upsert_time = (time.monotonic() - upsert_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] upsert_chat_session took {upsert_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "duration_ms": upsert_time}},
|
||||
f"Upserting session: {session.session_id} with user id {session.user_id}, "
|
||||
f"message_count={len(session.messages)}"
|
||||
)
|
||||
session = await upsert_chat_session(session)
|
||||
assert session, "Session not found"
|
||||
|
||||
# Generate title for new sessions on first user message (non-blocking)
|
||||
@@ -492,13 +457,7 @@ async def stream_chat_completion(
|
||||
asyncio.create_task(_update_title())
|
||||
|
||||
# Build system prompt with business understanding
|
||||
prompt_start = time.monotonic()
|
||||
system_prompt, understanding = await _build_system_prompt(user_id)
|
||||
prompt_time = (time.monotonic() - prompt_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] _build_system_prompt took {prompt_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "duration_ms": prompt_time}},
|
||||
)
|
||||
|
||||
# Initialize variables for streaming
|
||||
assistant_response = ChatMessage(
|
||||
@@ -521,29 +480,13 @@ async def stream_chat_completion(
|
||||
should_retry = False
|
||||
|
||||
# Generate unique IDs for AI SDK protocol
|
||||
import uuid as uuid_module
|
||||
|
||||
is_continuation = _continuation_message_id is not None
|
||||
message_id = _continuation_message_id or str(uuid_module.uuid4())
|
||||
message_id = str(uuid_module.uuid4())
|
||||
text_block_id = str(uuid_module.uuid4())
|
||||
|
||||
# Only yield message start for the initial call, not for continuations.
|
||||
setup_time = (time.monotonic() - completion_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] Setup complete, yielding StreamStart at {setup_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "setup_time_ms": setup_time}},
|
||||
)
|
||||
if not is_continuation:
|
||||
yield StreamStart(messageId=message_id, taskId=_task_id)
|
||||
|
||||
# Emit start-step before each LLM call (AI SDK uses this to add step boundaries)
|
||||
yield StreamStartStep()
|
||||
# Yield message start
|
||||
yield StreamStart(messageId=message_id)
|
||||
|
||||
try:
|
||||
logger.info(
|
||||
"[TIMING] Calling _stream_chat_chunks",
|
||||
extra={"json_fields": log_meta},
|
||||
)
|
||||
async for chunk in _stream_chat_chunks(
|
||||
session=session,
|
||||
tools=tools,
|
||||
@@ -643,10 +586,6 @@ async def stream_chat_completion(
|
||||
)
|
||||
yield chunk
|
||||
elif isinstance(chunk, StreamFinish):
|
||||
if has_done_tool_call:
|
||||
# Tool calls happened — close the step but don't send message-level finish.
|
||||
# The continuation will open a new step, and finish will come at the end.
|
||||
yield StreamFinishStep()
|
||||
if not has_done_tool_call:
|
||||
# Emit text-end before finish if we received text but haven't closed it
|
||||
if has_received_text and not text_streaming_ended:
|
||||
@@ -678,8 +617,6 @@ async def stream_chat_completion(
|
||||
has_saved_assistant_message = True
|
||||
|
||||
has_yielded_end = True
|
||||
# Emit finish-step before finish (resets AI SDK text/reasoning state)
|
||||
yield StreamFinishStep()
|
||||
yield chunk
|
||||
elif isinstance(chunk, StreamError):
|
||||
has_yielded_error = True
|
||||
@@ -729,10 +666,6 @@ async def stream_chat_completion(
|
||||
logger.info(
|
||||
f"Retryable error encountered. Attempt {retry_count + 1}/{config.max_retries}"
|
||||
)
|
||||
# Close the current step before retrying so the recursive call's
|
||||
# StreamStartStep doesn't produce unbalanced step events.
|
||||
if not has_yielded_end:
|
||||
yield StreamFinishStep()
|
||||
should_retry = True
|
||||
else:
|
||||
# Non-retryable error or max retries exceeded
|
||||
@@ -768,7 +701,6 @@ async def stream_chat_completion(
|
||||
error_response = StreamError(errorText=error_message)
|
||||
yield error_response
|
||||
if not has_yielded_end:
|
||||
yield StreamFinishStep()
|
||||
yield StreamFinish()
|
||||
return
|
||||
|
||||
@@ -783,8 +715,6 @@ async def stream_chat_completion(
|
||||
retry_count=retry_count + 1,
|
||||
session=session,
|
||||
context=context,
|
||||
_continuation_message_id=message_id, # Reuse message ID since start was already sent
|
||||
_task_id=_task_id,
|
||||
):
|
||||
yield chunk
|
||||
return # Exit after retry to avoid double-saving in finally block
|
||||
@@ -854,8 +784,6 @@ async def stream_chat_completion(
|
||||
session=session, # Pass session object to avoid Redis refetch
|
||||
context=context,
|
||||
tool_call_response=str(tool_response_messages),
|
||||
_continuation_message_id=message_id, # Reuse message ID to avoid duplicates
|
||||
_task_id=_task_id,
|
||||
):
|
||||
yield chunk
|
||||
|
||||
@@ -912,10 +840,6 @@ async def _manage_context_window(
|
||||
Returns:
|
||||
CompressResult with compacted messages and metadata
|
||||
"""
|
||||
import openai
|
||||
|
||||
from backend.util.prompt import compress_context
|
||||
|
||||
# Convert messages to dict format
|
||||
messages_dict = []
|
||||
for msg in messages:
|
||||
@@ -966,21 +890,9 @@ async def _stream_chat_chunks(
|
||||
SSE formatted JSON response objects
|
||||
|
||||
"""
|
||||
import time as time_module
|
||||
|
||||
stream_chunks_start = time_module.perf_counter()
|
||||
model = config.model
|
||||
|
||||
# Build log metadata for structured logging
|
||||
log_meta = {"component": "ChatService", "session_id": session.session_id}
|
||||
if session.user_id:
|
||||
log_meta["user_id"] = session.user_id
|
||||
|
||||
logger.info(
|
||||
f"[TIMING] _stream_chat_chunks STARTED, session={session.session_id}, "
|
||||
f"user={session.user_id}, n_messages={len(session.messages)}",
|
||||
extra={"json_fields": {**log_meta, "n_messages": len(session.messages)}},
|
||||
)
|
||||
logger.info("Starting pure chat stream")
|
||||
|
||||
messages = session.to_openai_messages()
|
||||
if system_prompt:
|
||||
@@ -991,18 +903,12 @@ async def _stream_chat_chunks(
|
||||
messages = [system_message] + messages
|
||||
|
||||
# Apply context window management
|
||||
context_start = time_module.perf_counter()
|
||||
context_result = await _manage_context_window(
|
||||
messages=messages,
|
||||
model=model,
|
||||
api_key=config.api_key,
|
||||
base_url=config.base_url,
|
||||
)
|
||||
context_time = (time_module.perf_counter() - context_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] _manage_context_window took {context_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "duration_ms": context_time}},
|
||||
)
|
||||
|
||||
if context_result.error:
|
||||
if "System prompt dropped" in context_result.error:
|
||||
@@ -1037,19 +943,9 @@ async def _stream_chat_chunks(
|
||||
|
||||
while retry_count <= MAX_RETRIES:
|
||||
try:
|
||||
elapsed = (time_module.perf_counter() - stream_chunks_start) * 1000
|
||||
retry_info = (
|
||||
f" (retry {retry_count}/{MAX_RETRIES})" if retry_count > 0 else ""
|
||||
)
|
||||
logger.info(
|
||||
f"[TIMING] Creating OpenAI stream at {elapsed:.1f}ms{retry_info}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"elapsed_ms": elapsed,
|
||||
"retry_count": retry_count,
|
||||
}
|
||||
},
|
||||
f"Creating OpenAI chat completion stream..."
|
||||
f"{f' (retry {retry_count}/{MAX_RETRIES})' if retry_count > 0 else ''}"
|
||||
)
|
||||
|
||||
# Build extra_body for OpenRouter tracing and PostHog analytics
|
||||
@@ -1066,11 +962,6 @@ async def _stream_chat_chunks(
|
||||
:128
|
||||
] # OpenRouter limit
|
||||
|
||||
# Enable adaptive thinking for Anthropic models via OpenRouter
|
||||
if config.thinking_enabled and "anthropic" in model.lower():
|
||||
extra_body["reasoning"] = {"enabled": True}
|
||||
|
||||
api_call_start = time_module.perf_counter()
|
||||
stream = await client.chat.completions.create(
|
||||
model=model,
|
||||
messages=cast(list[ChatCompletionMessageParam], messages),
|
||||
@@ -1080,11 +971,6 @@ async def _stream_chat_chunks(
|
||||
stream_options=ChatCompletionStreamOptionsParam(include_usage=True),
|
||||
extra_body=extra_body,
|
||||
)
|
||||
api_init_time = (time_module.perf_counter() - api_call_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] OpenAI stream object returned in {api_init_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "duration_ms": api_init_time}},
|
||||
)
|
||||
|
||||
# Variables to accumulate tool calls
|
||||
tool_calls: list[dict[str, Any]] = []
|
||||
@@ -1095,13 +981,10 @@ async def _stream_chat_chunks(
|
||||
|
||||
# Track if we've started the text block
|
||||
text_started = False
|
||||
first_content_chunk = True
|
||||
chunk_count = 0
|
||||
|
||||
# Process the stream
|
||||
chunk: ChatCompletionChunk
|
||||
async for chunk in stream:
|
||||
chunk_count += 1
|
||||
if chunk.usage:
|
||||
yield StreamUsage(
|
||||
promptTokens=chunk.usage.prompt_tokens,
|
||||
@@ -1124,23 +1007,6 @@ async def _stream_chat_chunks(
|
||||
if not text_started and text_block_id:
|
||||
yield StreamTextStart(id=text_block_id)
|
||||
text_started = True
|
||||
# Log timing for first content chunk
|
||||
if first_content_chunk:
|
||||
first_content_chunk = False
|
||||
ttfc = (
|
||||
time_module.perf_counter() - api_call_start
|
||||
) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] FIRST CONTENT CHUNK at {ttfc:.1f}ms "
|
||||
f"(since API call), n_chunks={chunk_count}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"time_to_first_chunk_ms": ttfc,
|
||||
"n_chunks": chunk_count,
|
||||
}
|
||||
},
|
||||
)
|
||||
# Stream the text delta
|
||||
text_response = StreamTextDelta(
|
||||
id=text_block_id or "",
|
||||
@@ -1197,21 +1063,7 @@ async def _stream_chat_chunks(
|
||||
toolName=tool_calls[idx]["function"]["name"],
|
||||
)
|
||||
emitted_start_for_idx.add(idx)
|
||||
stream_duration = time_module.perf_counter() - api_call_start
|
||||
logger.info(
|
||||
f"[TIMING] OpenAI stream COMPLETE, finish_reason={finish_reason}, "
|
||||
f"duration={stream_duration:.2f}s, "
|
||||
f"n_chunks={chunk_count}, n_tool_calls={len(tool_calls)}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"stream_duration_ms": stream_duration * 1000,
|
||||
"finish_reason": finish_reason,
|
||||
"n_chunks": chunk_count,
|
||||
"n_tool_calls": len(tool_calls),
|
||||
}
|
||||
},
|
||||
)
|
||||
logger.info(f"Stream complete. Finish reason: {finish_reason}")
|
||||
|
||||
# Yield all accumulated tool calls after the stream is complete
|
||||
# This ensures all tool call arguments have been fully received
|
||||
@@ -1231,12 +1083,6 @@ async def _stream_chat_chunks(
|
||||
# Re-raise to trigger retry logic in the parent function
|
||||
raise
|
||||
|
||||
total_time = (time_module.perf_counter() - stream_chunks_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] _stream_chat_chunks COMPLETED in {total_time/1000:.1f}s; "
|
||||
f"session={session.session_id}, user={session.user_id}",
|
||||
extra={"json_fields": {**log_meta, "total_time_ms": total_time}},
|
||||
)
|
||||
yield StreamFinish()
|
||||
return
|
||||
except Exception as e:
|
||||
@@ -1304,8 +1150,6 @@ async def _yield_tool_call(
|
||||
KeyError: If expected tool call fields are missing
|
||||
TypeError: If tool call structure is invalid
|
||||
"""
|
||||
import uuid as uuid_module
|
||||
|
||||
tool_name = tool_calls[yield_idx]["function"]["name"]
|
||||
tool_call_id = tool_calls[yield_idx]["id"]
|
||||
|
||||
@@ -1716,7 +1560,6 @@ async def _execute_long_running_tool_with_streaming(
|
||||
task_id,
|
||||
StreamError(errorText=str(e)),
|
||||
)
|
||||
await stream_registry.publish_chunk(task_id, StreamFinishStep())
|
||||
await stream_registry.publish_chunk(task_id, StreamFinish())
|
||||
|
||||
await _update_pending_operation(
|
||||
@@ -1833,10 +1676,6 @@ async def _generate_llm_continuation(
|
||||
if session_id:
|
||||
extra_body["session_id"] = session_id[:128]
|
||||
|
||||
# Enable adaptive thinking for Anthropic models via OpenRouter
|
||||
if config.thinking_enabled and "anthropic" in config.model.lower():
|
||||
extra_body["reasoning"] = {"enabled": True}
|
||||
|
||||
retry_count = 0
|
||||
last_error: Exception | None = None
|
||||
response = None
|
||||
@@ -1931,8 +1770,6 @@ async def _generate_llm_continuation_with_streaming(
|
||||
after a tool result is saved. Chunks are published to the stream registry
|
||||
so reconnecting clients can receive them.
|
||||
"""
|
||||
import uuid as uuid_module
|
||||
|
||||
try:
|
||||
# Load fresh session from DB (bypass cache to get the updated tool result)
|
||||
await invalidate_session_cache(session_id)
|
||||
@@ -1967,22 +1804,13 @@ async def _generate_llm_continuation_with_streaming(
|
||||
if session_id:
|
||||
extra_body["session_id"] = session_id[:128]
|
||||
|
||||
# Enable adaptive thinking for Anthropic models via OpenRouter
|
||||
if config.thinking_enabled and "anthropic" in config.model.lower():
|
||||
extra_body["reasoning"] = {"enabled": True}
|
||||
|
||||
# Make streaming LLM call (no tools - just text response)
|
||||
from typing import cast
|
||||
|
||||
from openai.types.chat import ChatCompletionMessageParam
|
||||
|
||||
# Generate unique IDs for AI SDK protocol
|
||||
message_id = str(uuid_module.uuid4())
|
||||
text_block_id = str(uuid_module.uuid4())
|
||||
|
||||
# Publish start event
|
||||
await stream_registry.publish_chunk(task_id, StreamStart(messageId=message_id))
|
||||
await stream_registry.publish_chunk(task_id, StreamStartStep())
|
||||
await stream_registry.publish_chunk(task_id, StreamTextStart(id=text_block_id))
|
||||
|
||||
# Stream the response
|
||||
@@ -2006,7 +1834,6 @@ async def _generate_llm_continuation_with_streaming(
|
||||
|
||||
# Publish end events
|
||||
await stream_registry.publish_chunk(task_id, StreamTextEnd(id=text_block_id))
|
||||
await stream_registry.publish_chunk(task_id, StreamFinishStep())
|
||||
|
||||
if assistant_content:
|
||||
# Reload session from DB to avoid race condition with user messages
|
||||
@@ -2048,5 +1875,4 @@ async def _generate_llm_continuation_with_streaming(
|
||||
task_id,
|
||||
StreamError(errorText=f"Failed to generate response: {e}"),
|
||||
)
|
||||
await stream_registry.publish_chunk(task_id, StreamFinishStep())
|
||||
await stream_registry.publish_chunk(task_id, StreamFinish())
|
||||
|
||||
@@ -104,24 +104,6 @@ async def create_task(
|
||||
Returns:
|
||||
The created ActiveTask instance (metadata only)
|
||||
"""
|
||||
import time
|
||||
|
||||
start_time = time.perf_counter()
|
||||
|
||||
# Build log metadata for structured logging
|
||||
log_meta = {
|
||||
"component": "StreamRegistry",
|
||||
"task_id": task_id,
|
||||
"session_id": session_id,
|
||||
}
|
||||
if user_id:
|
||||
log_meta["user_id"] = user_id
|
||||
|
||||
logger.info(
|
||||
f"[TIMING] create_task STARTED, task={task_id}, session={session_id}, user={user_id}",
|
||||
extra={"json_fields": log_meta},
|
||||
)
|
||||
|
||||
task = ActiveTask(
|
||||
task_id=task_id,
|
||||
session_id=session_id,
|
||||
@@ -132,18 +114,10 @@ async def create_task(
|
||||
)
|
||||
|
||||
# Store metadata in Redis
|
||||
redis_start = time.perf_counter()
|
||||
redis = await get_redis_async()
|
||||
redis_time = (time.perf_counter() - redis_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] get_redis_async took {redis_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "duration_ms": redis_time}},
|
||||
)
|
||||
|
||||
meta_key = _get_task_meta_key(task_id)
|
||||
op_key = _get_operation_mapping_key(operation_id)
|
||||
|
||||
hset_start = time.perf_counter()
|
||||
await redis.hset( # type: ignore[misc]
|
||||
meta_key,
|
||||
mapping={
|
||||
@@ -157,22 +131,12 @@ async def create_task(
|
||||
"created_at": task.created_at.isoformat(),
|
||||
},
|
||||
)
|
||||
hset_time = (time.perf_counter() - hset_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] redis.hset took {hset_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "duration_ms": hset_time}},
|
||||
)
|
||||
|
||||
await redis.expire(meta_key, config.stream_ttl)
|
||||
|
||||
# Create operation_id -> task_id mapping for webhook lookups
|
||||
await redis.set(op_key, task_id, ex=config.stream_ttl)
|
||||
|
||||
total_time = (time.perf_counter() - start_time) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] create_task COMPLETED in {total_time:.1f}ms; task={task_id}, session={session_id}",
|
||||
extra={"json_fields": {**log_meta, "total_time_ms": total_time}},
|
||||
)
|
||||
logger.debug(f"Created task {task_id} for session {session_id}")
|
||||
|
||||
return task
|
||||
|
||||
@@ -192,60 +156,26 @@ async def publish_chunk(
|
||||
Returns:
|
||||
The Redis Stream message ID
|
||||
"""
|
||||
import time
|
||||
|
||||
start_time = time.perf_counter()
|
||||
chunk_type = type(chunk).__name__
|
||||
chunk_json = chunk.model_dump_json()
|
||||
message_id = "0-0"
|
||||
|
||||
# Build log metadata
|
||||
log_meta = {
|
||||
"component": "StreamRegistry",
|
||||
"task_id": task_id,
|
||||
"chunk_type": chunk_type,
|
||||
}
|
||||
|
||||
try:
|
||||
redis = await get_redis_async()
|
||||
stream_key = _get_task_stream_key(task_id)
|
||||
|
||||
# Write to Redis Stream for persistence and real-time delivery
|
||||
xadd_start = time.perf_counter()
|
||||
raw_id = await redis.xadd(
|
||||
stream_key,
|
||||
{"data": chunk_json},
|
||||
maxlen=config.stream_max_length,
|
||||
)
|
||||
xadd_time = (time.perf_counter() - xadd_start) * 1000
|
||||
message_id = raw_id if isinstance(raw_id, str) else raw_id.decode()
|
||||
|
||||
# Set TTL on stream to match task metadata TTL
|
||||
await redis.expire(stream_key, config.stream_ttl)
|
||||
|
||||
total_time = (time.perf_counter() - start_time) * 1000
|
||||
# Only log timing for significant chunks or slow operations
|
||||
if (
|
||||
chunk_type
|
||||
in ("StreamStart", "StreamFinish", "StreamTextStart", "StreamTextEnd")
|
||||
or total_time > 50
|
||||
):
|
||||
logger.info(
|
||||
f"[TIMING] publish_chunk {chunk_type} in {total_time:.1f}ms (xadd={xadd_time:.1f}ms)",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"total_time_ms": total_time,
|
||||
"xadd_time_ms": xadd_time,
|
||||
"message_id": message_id,
|
||||
}
|
||||
},
|
||||
)
|
||||
except Exception as e:
|
||||
elapsed = (time.perf_counter() - start_time) * 1000
|
||||
logger.error(
|
||||
f"[TIMING] Failed to publish chunk {chunk_type} after {elapsed:.1f}ms: {e}",
|
||||
extra={"json_fields": {**log_meta, "elapsed_ms": elapsed, "error": str(e)}},
|
||||
f"Failed to publish chunk for task {task_id}: {e}",
|
||||
exc_info=True,
|
||||
)
|
||||
|
||||
@@ -270,61 +200,24 @@ async def subscribe_to_task(
|
||||
An asyncio Queue that will receive stream chunks, or None if task not found
|
||||
or user doesn't have access
|
||||
"""
|
||||
import time
|
||||
|
||||
start_time = time.perf_counter()
|
||||
|
||||
# Build log metadata
|
||||
log_meta = {"component": "StreamRegistry", "task_id": task_id}
|
||||
if user_id:
|
||||
log_meta["user_id"] = user_id
|
||||
|
||||
logger.info(
|
||||
f"[TIMING] subscribe_to_task STARTED, task={task_id}, user={user_id}, last_msg={last_message_id}",
|
||||
extra={"json_fields": {**log_meta, "last_message_id": last_message_id}},
|
||||
)
|
||||
|
||||
redis_start = time.perf_counter()
|
||||
redis = await get_redis_async()
|
||||
meta_key = _get_task_meta_key(task_id)
|
||||
meta: dict[Any, Any] = await redis.hgetall(meta_key) # type: ignore[misc]
|
||||
hgetall_time = (time.perf_counter() - redis_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] Redis hgetall took {hgetall_time:.1f}ms",
|
||||
extra={"json_fields": {**log_meta, "duration_ms": hgetall_time}},
|
||||
)
|
||||
|
||||
if not meta:
|
||||
elapsed = (time.perf_counter() - start_time) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] Task not found in Redis after {elapsed:.1f}ms",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"elapsed_ms": elapsed,
|
||||
"reason": "task_not_found",
|
||||
}
|
||||
},
|
||||
)
|
||||
logger.debug(f"Task {task_id} not found in Redis")
|
||||
return None
|
||||
|
||||
# Note: Redis client uses decode_responses=True, so keys are strings
|
||||
task_status = meta.get("status", "")
|
||||
task_user_id = meta.get("user_id", "") or None
|
||||
log_meta["session_id"] = meta.get("session_id", "")
|
||||
|
||||
# Validate ownership - if task has an owner, requester must match
|
||||
if task_user_id:
|
||||
if user_id != task_user_id:
|
||||
logger.warning(
|
||||
f"[TIMING] Access denied: user {user_id} tried to access task owned by {task_user_id}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"task_owner": task_user_id,
|
||||
"reason": "access_denied",
|
||||
}
|
||||
},
|
||||
f"User {user_id} denied access to task {task_id} "
|
||||
f"owned by {task_user_id}"
|
||||
)
|
||||
return None
|
||||
|
||||
@@ -332,19 +225,7 @@ async def subscribe_to_task(
|
||||
stream_key = _get_task_stream_key(task_id)
|
||||
|
||||
# Step 1: Replay messages from Redis Stream
|
||||
xread_start = time.perf_counter()
|
||||
messages = await redis.xread({stream_key: last_message_id}, block=0, count=1000)
|
||||
xread_time = (time.perf_counter() - xread_start) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] Redis xread (replay) took {xread_time:.1f}ms, status={task_status}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"duration_ms": xread_time,
|
||||
"task_status": task_status,
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
replayed_count = 0
|
||||
replay_last_id = last_message_id
|
||||
@@ -363,48 +244,19 @@ async def subscribe_to_task(
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to replay message: {e}")
|
||||
|
||||
logger.info(
|
||||
f"[TIMING] Replayed {replayed_count} messages, last_id={replay_last_id}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"n_messages_replayed": replayed_count,
|
||||
"replay_last_id": replay_last_id,
|
||||
}
|
||||
},
|
||||
)
|
||||
logger.debug(f"Task {task_id}: replayed {replayed_count} messages")
|
||||
|
||||
# Step 2: If task is still running, start stream listener for live updates
|
||||
if task_status == "running":
|
||||
logger.info(
|
||||
"[TIMING] Task still running, starting _stream_listener",
|
||||
extra={"json_fields": {**log_meta, "task_status": task_status}},
|
||||
)
|
||||
listener_task = asyncio.create_task(
|
||||
_stream_listener(task_id, subscriber_queue, replay_last_id, log_meta)
|
||||
_stream_listener(task_id, subscriber_queue, replay_last_id)
|
||||
)
|
||||
# Track listener task for cleanup on unsubscribe
|
||||
_listener_tasks[id(subscriber_queue)] = (task_id, listener_task)
|
||||
else:
|
||||
# Task is completed/failed - add finish marker
|
||||
logger.info(
|
||||
f"[TIMING] Task already {task_status}, adding StreamFinish",
|
||||
extra={"json_fields": {**log_meta, "task_status": task_status}},
|
||||
)
|
||||
await subscriber_queue.put(StreamFinish())
|
||||
|
||||
total_time = (time.perf_counter() - start_time) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] subscribe_to_task COMPLETED in {total_time:.1f}ms; task={task_id}, "
|
||||
f"n_messages_replayed={replayed_count}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"total_time_ms": total_time,
|
||||
"n_messages_replayed": replayed_count,
|
||||
}
|
||||
},
|
||||
)
|
||||
return subscriber_queue
|
||||
|
||||
|
||||
@@ -412,7 +264,6 @@ async def _stream_listener(
|
||||
task_id: str,
|
||||
subscriber_queue: asyncio.Queue[StreamBaseResponse],
|
||||
last_replayed_id: str,
|
||||
log_meta: dict | None = None,
|
||||
) -> None:
|
||||
"""Listen to Redis Stream for new messages using blocking XREAD.
|
||||
|
||||
@@ -423,27 +274,10 @@ async def _stream_listener(
|
||||
task_id: Task ID to listen for
|
||||
subscriber_queue: Queue to deliver messages to
|
||||
last_replayed_id: Last message ID from replay (continue from here)
|
||||
log_meta: Structured logging metadata
|
||||
"""
|
||||
import time
|
||||
|
||||
start_time = time.perf_counter()
|
||||
|
||||
# Use provided log_meta or build minimal one
|
||||
if log_meta is None:
|
||||
log_meta = {"component": "StreamRegistry", "task_id": task_id}
|
||||
|
||||
logger.info(
|
||||
f"[TIMING] _stream_listener STARTED, task={task_id}, last_id={last_replayed_id}",
|
||||
extra={"json_fields": {**log_meta, "last_replayed_id": last_replayed_id}},
|
||||
)
|
||||
|
||||
queue_id = id(subscriber_queue)
|
||||
# Track the last successfully delivered message ID for recovery hints
|
||||
last_delivered_id = last_replayed_id
|
||||
messages_delivered = 0
|
||||
first_message_time = None
|
||||
xread_count = 0
|
||||
|
||||
try:
|
||||
redis = await get_redis_async()
|
||||
@@ -453,39 +287,9 @@ async def _stream_listener(
|
||||
while True:
|
||||
# Block for up to 30 seconds waiting for new messages
|
||||
# This allows periodic checking if task is still running
|
||||
xread_start = time.perf_counter()
|
||||
xread_count += 1
|
||||
messages = await redis.xread(
|
||||
{stream_key: current_id}, block=30000, count=100
|
||||
)
|
||||
xread_time = (time.perf_counter() - xread_start) * 1000
|
||||
|
||||
if messages:
|
||||
msg_count = sum(len(msgs) for _, msgs in messages)
|
||||
logger.info(
|
||||
f"[TIMING] xread #{xread_count} returned {msg_count} messages in {xread_time:.1f}ms",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"xread_count": xread_count,
|
||||
"n_messages": msg_count,
|
||||
"duration_ms": xread_time,
|
||||
}
|
||||
},
|
||||
)
|
||||
elif xread_time > 1000:
|
||||
# Only log timeouts (30s blocking)
|
||||
logger.info(
|
||||
f"[TIMING] xread #{xread_count} timeout after {xread_time:.1f}ms",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"xread_count": xread_count,
|
||||
"duration_ms": xread_time,
|
||||
"reason": "timeout",
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
if not messages:
|
||||
# Timeout - check if task is still running
|
||||
@@ -522,30 +326,10 @@ async def _stream_listener(
|
||||
)
|
||||
# Update last delivered ID on successful delivery
|
||||
last_delivered_id = current_id
|
||||
messages_delivered += 1
|
||||
if first_message_time is None:
|
||||
first_message_time = time.perf_counter()
|
||||
elapsed = (first_message_time - start_time) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] FIRST live message at {elapsed:.1f}ms, type={type(chunk).__name__}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"elapsed_ms": elapsed,
|
||||
"chunk_type": type(chunk).__name__,
|
||||
}
|
||||
},
|
||||
)
|
||||
except asyncio.TimeoutError:
|
||||
logger.warning(
|
||||
f"[TIMING] Subscriber queue full, delivery timed out after {QUEUE_PUT_TIMEOUT}s",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"timeout_s": QUEUE_PUT_TIMEOUT,
|
||||
"reason": "queue_full",
|
||||
}
|
||||
},
|
||||
f"Subscriber queue full for task {task_id}, "
|
||||
f"message delivery timed out after {QUEUE_PUT_TIMEOUT}s"
|
||||
)
|
||||
# Send overflow error with recovery info
|
||||
try:
|
||||
@@ -567,44 +351,15 @@ async def _stream_listener(
|
||||
|
||||
# Stop listening on finish
|
||||
if isinstance(chunk, StreamFinish):
|
||||
total_time = (time.perf_counter() - start_time) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] StreamFinish received in {total_time/1000:.1f}s; delivered={messages_delivered}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"total_time_ms": total_time,
|
||||
"messages_delivered": messages_delivered,
|
||||
}
|
||||
},
|
||||
)
|
||||
return
|
||||
except Exception as e:
|
||||
logger.warning(
|
||||
f"Error processing stream message: {e}",
|
||||
extra={"json_fields": {**log_meta, "error": str(e)}},
|
||||
)
|
||||
logger.warning(f"Error processing stream message: {e}")
|
||||
|
||||
except asyncio.CancelledError:
|
||||
elapsed = (time.perf_counter() - start_time) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] _stream_listener CANCELLED after {elapsed:.1f}ms, delivered={messages_delivered}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"elapsed_ms": elapsed,
|
||||
"messages_delivered": messages_delivered,
|
||||
"reason": "cancelled",
|
||||
}
|
||||
},
|
||||
)
|
||||
logger.debug(f"Stream listener cancelled for task {task_id}")
|
||||
raise # Re-raise to propagate cancellation
|
||||
except Exception as e:
|
||||
elapsed = (time.perf_counter() - start_time) * 1000
|
||||
logger.error(
|
||||
f"[TIMING] _stream_listener ERROR after {elapsed:.1f}ms: {e}",
|
||||
extra={"json_fields": {**log_meta, "elapsed_ms": elapsed, "error": str(e)}},
|
||||
)
|
||||
logger.error(f"Stream listener error for task {task_id}: {e}")
|
||||
# On error, send finish to unblock subscriber
|
||||
try:
|
||||
await asyncio.wait_for(
|
||||
@@ -613,24 +368,10 @@ async def _stream_listener(
|
||||
)
|
||||
except (asyncio.TimeoutError, asyncio.QueueFull):
|
||||
logger.warning(
|
||||
"Could not deliver finish event after error",
|
||||
extra={"json_fields": log_meta},
|
||||
f"Could not deliver finish event for task {task_id} after error"
|
||||
)
|
||||
finally:
|
||||
# Clean up listener task mapping on exit
|
||||
total_time = (time.perf_counter() - start_time) * 1000
|
||||
logger.info(
|
||||
f"[TIMING] _stream_listener FINISHED in {total_time/1000:.1f}s; task={task_id}, "
|
||||
f"delivered={messages_delivered}, xread_count={xread_count}",
|
||||
extra={
|
||||
"json_fields": {
|
||||
**log_meta,
|
||||
"total_time_ms": total_time,
|
||||
"messages_delivered": messages_delivered,
|
||||
"xread_count": xread_count,
|
||||
}
|
||||
},
|
||||
)
|
||||
_listener_tasks.pop(queue_id, None)
|
||||
|
||||
|
||||
@@ -857,10 +598,8 @@ def _reconstruct_chunk(chunk_data: dict) -> StreamBaseResponse | None:
|
||||
ResponseType,
|
||||
StreamError,
|
||||
StreamFinish,
|
||||
StreamFinishStep,
|
||||
StreamHeartbeat,
|
||||
StreamStart,
|
||||
StreamStartStep,
|
||||
StreamTextDelta,
|
||||
StreamTextEnd,
|
||||
StreamTextStart,
|
||||
@@ -874,8 +613,6 @@ def _reconstruct_chunk(chunk_data: dict) -> StreamBaseResponse | None:
|
||||
type_to_class: dict[str, type[StreamBaseResponse]] = {
|
||||
ResponseType.START.value: StreamStart,
|
||||
ResponseType.FINISH.value: StreamFinish,
|
||||
ResponseType.START_STEP.value: StreamStartStep,
|
||||
ResponseType.FINISH_STEP.value: StreamFinishStep,
|
||||
ResponseType.TEXT_START.value: StreamTextStart,
|
||||
ResponseType.TEXT_DELTA.value: StreamTextDelta,
|
||||
ResponseType.TEXT_END.value: StreamTextEnd,
|
||||
|
||||
@@ -3,6 +3,8 @@
|
||||
import logging
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, field_validator
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
|
||||
from .agent_generator import (
|
||||
@@ -28,6 +30,26 @@ from .models import (
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class CreateAgentInput(BaseModel):
|
||||
"""Input parameters for the create_agent tool."""
|
||||
|
||||
description: str = ""
|
||||
context: str = ""
|
||||
save: bool = True
|
||||
# Internal async processing params (passed by long-running tool handler)
|
||||
_operation_id: str | None = None
|
||||
_task_id: str | None = None
|
||||
|
||||
@field_validator("description", "context", mode="before")
|
||||
@classmethod
|
||||
def strip_strings(cls, v: Any) -> str:
|
||||
"""Strip whitespace from string fields."""
|
||||
return v.strip() if isinstance(v, str) else (v if v is not None else "")
|
||||
|
||||
class Config:
|
||||
extra = "allow" # Allow _operation_id, _task_id from kwargs
|
||||
|
||||
|
||||
class CreateAgentTool(BaseTool):
|
||||
"""Tool for creating agents from natural language descriptions."""
|
||||
|
||||
@@ -85,7 +107,7 @@ class CreateAgentTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
"""Execute the create_agent tool.
|
||||
|
||||
@@ -94,16 +116,14 @@ class CreateAgentTool(BaseTool):
|
||||
2. Generate agent JSON (external service handles fixing and validation)
|
||||
3. Preview or save based on the save parameter
|
||||
"""
|
||||
description = kwargs.get("description", "").strip()
|
||||
context = kwargs.get("context", "")
|
||||
save = kwargs.get("save", True)
|
||||
params = CreateAgentInput(**kwargs)
|
||||
session_id = session.session_id if session else None
|
||||
|
||||
# Extract async processing params (passed by long-running tool handler)
|
||||
# Extract async processing params
|
||||
operation_id = kwargs.get("_operation_id")
|
||||
task_id = kwargs.get("_task_id")
|
||||
|
||||
if not description:
|
||||
if not params.description:
|
||||
return ErrorResponse(
|
||||
message="Please provide a description of what the agent should do.",
|
||||
error="Missing description parameter",
|
||||
@@ -115,7 +135,7 @@ class CreateAgentTool(BaseTool):
|
||||
try:
|
||||
library_agents = await get_all_relevant_agents_for_generation(
|
||||
user_id=user_id,
|
||||
search_query=description,
|
||||
search_query=params.description,
|
||||
include_marketplace=True,
|
||||
)
|
||||
logger.debug(
|
||||
@@ -126,7 +146,7 @@ class CreateAgentTool(BaseTool):
|
||||
|
||||
try:
|
||||
decomposition_result = await decompose_goal(
|
||||
description, context, library_agents
|
||||
params.description, params.context, library_agents
|
||||
)
|
||||
except AgentGeneratorNotConfiguredError:
|
||||
return ErrorResponse(
|
||||
@@ -142,7 +162,7 @@ class CreateAgentTool(BaseTool):
|
||||
return ErrorResponse(
|
||||
message="Failed to analyze the goal. The agent generation service may be unavailable. Please try again.",
|
||||
error="decomposition_failed",
|
||||
details={"description": description[:100]},
|
||||
details={"description": params.description[:100]},
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
@@ -158,7 +178,7 @@ class CreateAgentTool(BaseTool):
|
||||
message=user_message,
|
||||
error=f"decomposition_failed:{error_type}",
|
||||
details={
|
||||
"description": description[:100],
|
||||
"description": params.description[:100],
|
||||
"service_error": error_msg,
|
||||
"error_type": error_type,
|
||||
},
|
||||
@@ -244,7 +264,7 @@ class CreateAgentTool(BaseTool):
|
||||
return ErrorResponse(
|
||||
message="Failed to generate the agent. The agent generation service may be unavailable. Please try again.",
|
||||
error="generation_failed",
|
||||
details={"description": description[:100]},
|
||||
details={"description": params.description[:100]},
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
@@ -266,7 +286,7 @@ class CreateAgentTool(BaseTool):
|
||||
message=user_message,
|
||||
error=f"generation_failed:{error_type}",
|
||||
details={
|
||||
"description": description[:100],
|
||||
"description": params.description[:100],
|
||||
"service_error": error_msg,
|
||||
"error_type": error_type,
|
||||
},
|
||||
@@ -291,7 +311,7 @@ class CreateAgentTool(BaseTool):
|
||||
node_count = len(agent_json.get("nodes", []))
|
||||
link_count = len(agent_json.get("links", []))
|
||||
|
||||
if not save:
|
||||
if not params.save:
|
||||
return AgentPreviewResponse(
|
||||
message=(
|
||||
f"I've generated an agent called '{agent_name}' with {node_count} blocks. "
|
||||
|
||||
@@ -3,6 +3,8 @@
|
||||
import logging
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, field_validator
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
from backend.api.features.store import db as store_db
|
||||
from backend.api.features.store.exceptions import AgentNotFoundError
|
||||
@@ -27,6 +29,23 @@ from .models import (
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class CustomizeAgentInput(BaseModel):
|
||||
"""Input parameters for the customize_agent tool."""
|
||||
|
||||
agent_id: str = ""
|
||||
modifications: str = ""
|
||||
context: str = ""
|
||||
save: bool = True
|
||||
|
||||
@field_validator("agent_id", "modifications", "context", mode="before")
|
||||
@classmethod
|
||||
def strip_strings(cls, v: Any) -> str:
|
||||
"""Strip whitespace from string fields."""
|
||||
if isinstance(v, str):
|
||||
return v.strip()
|
||||
return v if v is not None else ""
|
||||
|
||||
|
||||
class CustomizeAgentTool(BaseTool):
|
||||
"""Tool for customizing marketplace/template agents using natural language."""
|
||||
|
||||
@@ -92,7 +111,7 @@ class CustomizeAgentTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
"""Execute the customize_agent tool.
|
||||
|
||||
@@ -102,20 +121,17 @@ class CustomizeAgentTool(BaseTool):
|
||||
3. Call customize_template with the modification request
|
||||
4. Preview or save based on the save parameter
|
||||
"""
|
||||
agent_id = kwargs.get("agent_id", "").strip()
|
||||
modifications = kwargs.get("modifications", "").strip()
|
||||
context = kwargs.get("context", "")
|
||||
save = kwargs.get("save", True)
|
||||
params = CustomizeAgentInput(**kwargs)
|
||||
session_id = session.session_id if session else None
|
||||
|
||||
if not agent_id:
|
||||
if not params.agent_id:
|
||||
return ErrorResponse(
|
||||
message="Please provide the marketplace agent ID (e.g., 'creator/agent-name').",
|
||||
error="missing_agent_id",
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
if not modifications:
|
||||
if not params.modifications:
|
||||
return ErrorResponse(
|
||||
message="Please describe how you want to customize this agent.",
|
||||
error="missing_modifications",
|
||||
@@ -123,11 +139,11 @@ class CustomizeAgentTool(BaseTool):
|
||||
)
|
||||
|
||||
# Parse agent_id in format "creator/slug"
|
||||
parts = [p.strip() for p in agent_id.split("/")]
|
||||
parts = [p.strip() for p in params.agent_id.split("/")]
|
||||
if len(parts) != 2 or not parts[0] or not parts[1]:
|
||||
return ErrorResponse(
|
||||
message=(
|
||||
f"Invalid agent ID format: '{agent_id}'. "
|
||||
f"Invalid agent ID format: '{params.agent_id}'. "
|
||||
"Expected format is 'creator/agent-name' "
|
||||
"(e.g., 'autogpt/newsletter-writer')."
|
||||
),
|
||||
@@ -145,14 +161,14 @@ class CustomizeAgentTool(BaseTool):
|
||||
except AgentNotFoundError:
|
||||
return ErrorResponse(
|
||||
message=(
|
||||
f"Could not find marketplace agent '{agent_id}'. "
|
||||
f"Could not find marketplace agent '{params.agent_id}'. "
|
||||
"Please check the agent ID and try again."
|
||||
),
|
||||
error="agent_not_found",
|
||||
session_id=session_id,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Error fetching marketplace agent {agent_id}: {e}")
|
||||
logger.error(f"Error fetching marketplace agent {params.agent_id}: {e}")
|
||||
return ErrorResponse(
|
||||
message="Failed to fetch the marketplace agent. Please try again.",
|
||||
error="fetch_error",
|
||||
@@ -162,7 +178,7 @@ class CustomizeAgentTool(BaseTool):
|
||||
if not agent_details.store_listing_version_id:
|
||||
return ErrorResponse(
|
||||
message=(
|
||||
f"The agent '{agent_id}' does not have an available version. "
|
||||
f"The agent '{params.agent_id}' does not have an available version. "
|
||||
"Please try a different agent."
|
||||
),
|
||||
error="no_version_available",
|
||||
@@ -174,7 +190,7 @@ class CustomizeAgentTool(BaseTool):
|
||||
graph = await store_db.get_agent(agent_details.store_listing_version_id)
|
||||
template_agent = graph_to_json(graph)
|
||||
except Exception as e:
|
||||
logger.error(f"Error fetching agent graph for {agent_id}: {e}")
|
||||
logger.error(f"Error fetching agent graph for {params.agent_id}: {e}")
|
||||
return ErrorResponse(
|
||||
message="Failed to fetch the agent configuration. Please try again.",
|
||||
error="graph_fetch_error",
|
||||
@@ -185,8 +201,8 @@ class CustomizeAgentTool(BaseTool):
|
||||
try:
|
||||
result = await customize_template(
|
||||
template_agent=template_agent,
|
||||
modification_request=modifications,
|
||||
context=context,
|
||||
modification_request=params.modifications,
|
||||
context=params.context,
|
||||
)
|
||||
except AgentGeneratorNotConfiguredError:
|
||||
return ErrorResponse(
|
||||
@@ -198,7 +214,7 @@ class CustomizeAgentTool(BaseTool):
|
||||
session_id=session_id,
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Error calling customize_template for {agent_id}: {e}")
|
||||
logger.error(f"Error calling customize_template for {params.agent_id}: {e}")
|
||||
return ErrorResponse(
|
||||
message=(
|
||||
"Failed to customize the agent due to a service error. "
|
||||
@@ -219,55 +235,25 @@ class CustomizeAgentTool(BaseTool):
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
# Handle error response
|
||||
if isinstance(result, dict) and result.get("type") == "error":
|
||||
error_msg = result.get("error", "Unknown error")
|
||||
error_type = result.get("error_type", "unknown")
|
||||
user_message = get_user_message_for_error(
|
||||
error_type,
|
||||
operation="customize the agent",
|
||||
llm_parse_message=(
|
||||
"The AI had trouble customizing the agent. "
|
||||
"Please try again or simplify your request."
|
||||
),
|
||||
validation_message=(
|
||||
"The customized agent failed validation. "
|
||||
"Please try rephrasing your request."
|
||||
),
|
||||
error_details=error_msg,
|
||||
)
|
||||
return ErrorResponse(
|
||||
message=user_message,
|
||||
error=f"customization_failed:{error_type}",
|
||||
session_id=session_id,
|
||||
)
|
||||
# Handle response using match/case for cleaner pattern matching
|
||||
return await self._handle_customization_result(
|
||||
result=result,
|
||||
params=params,
|
||||
agent_details=agent_details,
|
||||
user_id=user_id,
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
# Handle clarifying questions
|
||||
if isinstance(result, dict) and result.get("type") == "clarifying_questions":
|
||||
questions = result.get("questions") or []
|
||||
if not isinstance(questions, list):
|
||||
logger.error(
|
||||
f"Unexpected clarifying questions format: {type(questions)}"
|
||||
)
|
||||
questions = []
|
||||
return ClarificationNeededResponse(
|
||||
message=(
|
||||
"I need some more information to customize this agent. "
|
||||
"Please answer the following questions:"
|
||||
),
|
||||
questions=[
|
||||
ClarifyingQuestion(
|
||||
question=q.get("question", ""),
|
||||
keyword=q.get("keyword", ""),
|
||||
example=q.get("example"),
|
||||
)
|
||||
for q in questions
|
||||
if isinstance(q, dict)
|
||||
],
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
# Result should be the customized agent JSON
|
||||
async def _handle_customization_result(
|
||||
self,
|
||||
result: dict[str, Any],
|
||||
params: CustomizeAgentInput,
|
||||
agent_details: Any,
|
||||
user_id: str | None,
|
||||
session_id: str | None,
|
||||
) -> ToolResponseBase:
|
||||
"""Handle the result from customize_template using pattern matching."""
|
||||
# Ensure result is a dict
|
||||
if not isinstance(result, dict):
|
||||
logger.error(f"Unexpected customize_template response type: {type(result)}")
|
||||
return ErrorResponse(
|
||||
@@ -276,8 +262,77 @@ class CustomizeAgentTool(BaseTool):
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
customized_agent = result
|
||||
result_type = result.get("type")
|
||||
|
||||
match result_type:
|
||||
case "error":
|
||||
error_msg = result.get("error", "Unknown error")
|
||||
error_type = result.get("error_type", "unknown")
|
||||
user_message = get_user_message_for_error(
|
||||
error_type,
|
||||
operation="customize the agent",
|
||||
llm_parse_message=(
|
||||
"The AI had trouble customizing the agent. "
|
||||
"Please try again or simplify your request."
|
||||
),
|
||||
validation_message=(
|
||||
"The customized agent failed validation. "
|
||||
"Please try rephrasing your request."
|
||||
),
|
||||
error_details=error_msg,
|
||||
)
|
||||
return ErrorResponse(
|
||||
message=user_message,
|
||||
error=f"customization_failed:{error_type}",
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
case "clarifying_questions":
|
||||
questions_data = result.get("questions") or []
|
||||
if not isinstance(questions_data, list):
|
||||
logger.error(
|
||||
f"Unexpected clarifying questions format: {type(questions_data)}"
|
||||
)
|
||||
questions_data = []
|
||||
|
||||
questions = [
|
||||
ClarifyingQuestion(
|
||||
question=q.get("question", "") if isinstance(q, dict) else "",
|
||||
keyword=q.get("keyword", "") if isinstance(q, dict) else "",
|
||||
example=q.get("example") if isinstance(q, dict) else None,
|
||||
)
|
||||
for q in questions_data
|
||||
if isinstance(q, dict)
|
||||
]
|
||||
|
||||
return ClarificationNeededResponse(
|
||||
message=(
|
||||
"I need some more information to customize this agent. "
|
||||
"Please answer the following questions:"
|
||||
),
|
||||
questions=questions,
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
case _:
|
||||
# Default case: result is the customized agent JSON
|
||||
return await self._save_or_preview_agent(
|
||||
customized_agent=result,
|
||||
params=params,
|
||||
agent_details=agent_details,
|
||||
user_id=user_id,
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
async def _save_or_preview_agent(
|
||||
self,
|
||||
customized_agent: dict[str, Any],
|
||||
params: CustomizeAgentInput,
|
||||
agent_details: Any,
|
||||
user_id: str | None,
|
||||
session_id: str | None,
|
||||
) -> ToolResponseBase:
|
||||
"""Save or preview the customized agent based on params.save."""
|
||||
agent_name = customized_agent.get(
|
||||
"name", f"Customized {agent_details.agent_name}"
|
||||
)
|
||||
@@ -287,7 +342,7 @@ class CustomizeAgentTool(BaseTool):
|
||||
node_count = len(nodes) if isinstance(nodes, list) else 0
|
||||
link_count = len(links) if isinstance(links, list) else 0
|
||||
|
||||
if not save:
|
||||
if not params.save:
|
||||
return AgentPreviewResponse(
|
||||
message=(
|
||||
f"I've customized the agent '{agent_details.agent_name}'. "
|
||||
|
||||
@@ -3,6 +3,8 @@
|
||||
import logging
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, ConfigDict, field_validator
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
|
||||
from .agent_generator import (
|
||||
@@ -27,6 +29,20 @@ from .models import (
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class EditAgentInput(BaseModel):
|
||||
model_config = ConfigDict(extra="allow")
|
||||
|
||||
agent_id: str = ""
|
||||
changes: str = ""
|
||||
context: str = ""
|
||||
save: bool = True
|
||||
|
||||
@field_validator("agent_id", "changes", "context", mode="before")
|
||||
@classmethod
|
||||
def strip_strings(cls, v: Any) -> str:
|
||||
return v.strip() if isinstance(v, str) else (v if v is not None else "")
|
||||
|
||||
|
||||
class EditAgentTool(BaseTool):
|
||||
"""Tool for editing existing agents using natural language."""
|
||||
|
||||
@@ -90,7 +106,7 @@ class EditAgentTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
"""Execute the edit_agent tool.
|
||||
|
||||
@@ -99,35 +115,32 @@ class EditAgentTool(BaseTool):
|
||||
2. Generate updated agent (external service handles fixing and validation)
|
||||
3. Preview or save based on the save parameter
|
||||
"""
|
||||
agent_id = kwargs.get("agent_id", "").strip()
|
||||
changes = kwargs.get("changes", "").strip()
|
||||
context = kwargs.get("context", "")
|
||||
save = kwargs.get("save", True)
|
||||
params = EditAgentInput(**kwargs)
|
||||
session_id = session.session_id if session else None
|
||||
|
||||
# Extract async processing params (passed by long-running tool handler)
|
||||
operation_id = kwargs.get("_operation_id")
|
||||
task_id = kwargs.get("_task_id")
|
||||
|
||||
if not agent_id:
|
||||
if not params.agent_id:
|
||||
return ErrorResponse(
|
||||
message="Please provide the agent ID to edit.",
|
||||
error="Missing agent_id parameter",
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
if not changes:
|
||||
if not params.changes:
|
||||
return ErrorResponse(
|
||||
message="Please describe what changes you want to make.",
|
||||
error="Missing changes parameter",
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
current_agent = await get_agent_as_json(agent_id, user_id)
|
||||
current_agent = await get_agent_as_json(params.agent_id, user_id)
|
||||
|
||||
if current_agent is None:
|
||||
return ErrorResponse(
|
||||
message=f"Could not find agent with ID '{agent_id}' in your library.",
|
||||
message=f"Could not find agent '{params.agent_id}' in your library.",
|
||||
error="agent_not_found",
|
||||
session_id=session_id,
|
||||
)
|
||||
@@ -138,7 +151,7 @@ class EditAgentTool(BaseTool):
|
||||
graph_id = current_agent.get("id")
|
||||
library_agents = await get_all_relevant_agents_for_generation(
|
||||
user_id=user_id,
|
||||
search_query=changes,
|
||||
search_query=params.changes,
|
||||
exclude_graph_id=graph_id,
|
||||
include_marketplace=True,
|
||||
)
|
||||
@@ -148,9 +161,11 @@ class EditAgentTool(BaseTool):
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to fetch library agents: {e}")
|
||||
|
||||
update_request = changes
|
||||
if context:
|
||||
update_request = f"{changes}\n\nAdditional context:\n{context}"
|
||||
update_request = params.changes
|
||||
if params.context:
|
||||
update_request = (
|
||||
f"{params.changes}\n\nAdditional context:\n{params.context}"
|
||||
)
|
||||
|
||||
try:
|
||||
result = await generate_agent_patch(
|
||||
@@ -174,7 +189,7 @@ class EditAgentTool(BaseTool):
|
||||
return ErrorResponse(
|
||||
message="Failed to generate changes. The agent generation service may be unavailable or timed out. Please try again.",
|
||||
error="update_generation_failed",
|
||||
details={"agent_id": agent_id, "changes": changes[:100]},
|
||||
details={"agent_id": params.agent_id, "changes": params.changes[:100]},
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
@@ -206,8 +221,8 @@ class EditAgentTool(BaseTool):
|
||||
message=user_message,
|
||||
error=f"update_generation_failed:{error_type}",
|
||||
details={
|
||||
"agent_id": agent_id,
|
||||
"changes": changes[:100],
|
||||
"agent_id": params.agent_id,
|
||||
"changes": params.changes[:100],
|
||||
"service_error": error_msg,
|
||||
"error_type": error_type,
|
||||
},
|
||||
@@ -239,7 +254,7 @@ class EditAgentTool(BaseTool):
|
||||
node_count = len(updated_agent.get("nodes", []))
|
||||
link_count = len(updated_agent.get("links", []))
|
||||
|
||||
if not save:
|
||||
if not params.save:
|
||||
return AgentPreviewResponse(
|
||||
message=(
|
||||
f"I've updated the agent. "
|
||||
|
||||
@@ -2,6 +2,8 @@
|
||||
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, field_validator
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
|
||||
from .agent_search import search_agents
|
||||
@@ -9,6 +11,18 @@ from .base import BaseTool
|
||||
from .models import ToolResponseBase
|
||||
|
||||
|
||||
class FindAgentInput(BaseModel):
|
||||
"""Input parameters for the find_agent tool."""
|
||||
|
||||
query: str = ""
|
||||
|
||||
@field_validator("query", mode="before")
|
||||
@classmethod
|
||||
def strip_string(cls, v: Any) -> str:
|
||||
"""Strip whitespace from query."""
|
||||
return v.strip() if isinstance(v, str) else (v if v is not None else "")
|
||||
|
||||
|
||||
class FindAgentTool(BaseTool):
|
||||
"""Tool for discovering agents from the marketplace."""
|
||||
|
||||
@@ -36,10 +50,11 @@ class FindAgentTool(BaseTool):
|
||||
}
|
||||
|
||||
async def _execute(
|
||||
self, user_id: str | None, session: ChatSession, **kwargs
|
||||
self, user_id: str | None, session: ChatSession, **kwargs: Any
|
||||
) -> ToolResponseBase:
|
||||
params = FindAgentInput(**kwargs)
|
||||
return await search_agents(
|
||||
query=kwargs.get("query", "").strip(),
|
||||
query=params.query,
|
||||
source="marketplace",
|
||||
session_id=session.session_id,
|
||||
user_id=user_id,
|
||||
|
||||
@@ -2,6 +2,7 @@ import logging
|
||||
from typing import Any
|
||||
|
||||
from prisma.enums import ContentType
|
||||
from pydantic import BaseModel, field_validator
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
from backend.api.features.chat.tools.base import BaseTool, ToolResponseBase
|
||||
@@ -40,6 +41,18 @@ COPILOT_EXCLUDED_BLOCK_IDS = {
|
||||
}
|
||||
|
||||
|
||||
class FindBlockInput(BaseModel):
|
||||
"""Input parameters for the find_block tool."""
|
||||
|
||||
query: str = ""
|
||||
|
||||
@field_validator("query", mode="before")
|
||||
@classmethod
|
||||
def strip_string(cls, v: Any) -> str:
|
||||
"""Strip whitespace from query."""
|
||||
return v.strip() if isinstance(v, str) else (v if v is not None else "")
|
||||
|
||||
|
||||
class FindBlockTool(BaseTool):
|
||||
"""Tool for searching available blocks."""
|
||||
|
||||
@@ -81,24 +94,24 @@ class FindBlockTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
"""Search for blocks matching the query.
|
||||
|
||||
Args:
|
||||
user_id: User ID (required)
|
||||
session: Chat session
|
||||
query: Search query
|
||||
**kwargs: Tool parameters
|
||||
|
||||
Returns:
|
||||
BlockListResponse: List of matching blocks
|
||||
NoResultsResponse: No blocks found
|
||||
ErrorResponse: Error message
|
||||
"""
|
||||
query = kwargs.get("query", "").strip()
|
||||
params = FindBlockInput(**kwargs)
|
||||
session_id = session.session_id
|
||||
|
||||
if not query:
|
||||
if not params.query:
|
||||
return ErrorResponse(
|
||||
message="Please provide a search query",
|
||||
session_id=session_id,
|
||||
@@ -107,7 +120,7 @@ class FindBlockTool(BaseTool):
|
||||
try:
|
||||
# Search for blocks using hybrid search
|
||||
results, total = await unified_hybrid_search(
|
||||
query=query,
|
||||
query=params.query,
|
||||
content_types=[ContentType.BLOCK],
|
||||
page=1,
|
||||
page_size=_OVERFETCH_PAGE_SIZE,
|
||||
@@ -115,7 +128,7 @@ class FindBlockTool(BaseTool):
|
||||
|
||||
if not results:
|
||||
return NoResultsResponse(
|
||||
message=f"No blocks found for '{query}'",
|
||||
message=f"No blocks found for '{params.query}'",
|
||||
suggestions=[
|
||||
"Try broader keywords like 'email', 'http', 'text', 'ai'",
|
||||
"Check spelling of technical terms",
|
||||
@@ -217,7 +230,7 @@ class FindBlockTool(BaseTool):
|
||||
|
||||
if not blocks:
|
||||
return NoResultsResponse(
|
||||
message=f"No blocks found for '{query}'",
|
||||
message=f"No blocks found for '{params.query}'",
|
||||
suggestions=[
|
||||
"Try broader keywords like 'email', 'http', 'text', 'ai'",
|
||||
],
|
||||
@@ -226,13 +239,13 @@ class FindBlockTool(BaseTool):
|
||||
|
||||
return BlockListResponse(
|
||||
message=(
|
||||
f"Found {len(blocks)} block(s) matching '{query}'. "
|
||||
f"Found {len(blocks)} block(s) matching '{params.query}'. "
|
||||
"To execute a block, use run_block with the block's 'id' field "
|
||||
"and provide 'input_data' matching the block's input_schema."
|
||||
),
|
||||
blocks=blocks,
|
||||
count=len(blocks),
|
||||
query=query,
|
||||
query=params.query,
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
|
||||
@@ -2,6 +2,8 @@
|
||||
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, field_validator
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
|
||||
from .agent_search import search_agents
|
||||
@@ -9,6 +11,15 @@ from .base import BaseTool
|
||||
from .models import ToolResponseBase
|
||||
|
||||
|
||||
class FindLibraryAgentInput(BaseModel):
|
||||
query: str = ""
|
||||
|
||||
@field_validator("query", mode="before")
|
||||
@classmethod
|
||||
def strip_string(cls, v: Any) -> str:
|
||||
return v.strip() if isinstance(v, str) else (v if v is not None else "")
|
||||
|
||||
|
||||
class FindLibraryAgentTool(BaseTool):
|
||||
"""Tool for searching agents in the user's library."""
|
||||
|
||||
@@ -42,10 +53,11 @@ class FindLibraryAgentTool(BaseTool):
|
||||
return True
|
||||
|
||||
async def _execute(
|
||||
self, user_id: str | None, session: ChatSession, **kwargs
|
||||
self, user_id: str | None, session: ChatSession, **kwargs: Any
|
||||
) -> ToolResponseBase:
|
||||
params = FindLibraryAgentInput(**kwargs)
|
||||
return await search_agents(
|
||||
query=kwargs.get("query", "").strip(),
|
||||
query=params.query,
|
||||
source="library",
|
||||
session_id=session.session_id,
|
||||
user_id=user_id,
|
||||
|
||||
@@ -4,6 +4,8 @@ import logging
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, field_validator
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
from backend.api.features.chat.tools.base import BaseTool
|
||||
from backend.api.features.chat.tools.models import (
|
||||
@@ -18,6 +20,18 @@ logger = logging.getLogger(__name__)
|
||||
DOCS_BASE_URL = "https://docs.agpt.co"
|
||||
|
||||
|
||||
class GetDocPageInput(BaseModel):
|
||||
"""Input parameters for the get_doc_page tool."""
|
||||
|
||||
path: str = ""
|
||||
|
||||
@field_validator("path", mode="before")
|
||||
@classmethod
|
||||
def strip_string(cls, v: Any) -> str:
|
||||
"""Strip whitespace from path."""
|
||||
return v.strip() if isinstance(v, str) else (v if v is not None else "")
|
||||
|
||||
|
||||
class GetDocPageTool(BaseTool):
|
||||
"""Tool for fetching full content of a documentation page."""
|
||||
|
||||
@@ -75,23 +89,23 @@ class GetDocPageTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
"""Fetch full content of a documentation page.
|
||||
|
||||
Args:
|
||||
user_id: User ID (not required for docs)
|
||||
session: Chat session
|
||||
path: Path to the documentation file
|
||||
**kwargs: Tool parameters
|
||||
|
||||
Returns:
|
||||
DocPageResponse: Full document content
|
||||
ErrorResponse: Error message
|
||||
"""
|
||||
path = kwargs.get("path", "").strip()
|
||||
params = GetDocPageInput(**kwargs)
|
||||
session_id = session.session_id if session else None
|
||||
|
||||
if not path:
|
||||
if not params.path:
|
||||
return ErrorResponse(
|
||||
message="Please provide a documentation path.",
|
||||
error="Missing path parameter",
|
||||
@@ -99,7 +113,7 @@ class GetDocPageTool(BaseTool):
|
||||
)
|
||||
|
||||
# Sanitize path to prevent directory traversal
|
||||
if ".." in path or path.startswith("/"):
|
||||
if ".." in params.path or params.path.startswith("/"):
|
||||
return ErrorResponse(
|
||||
message="Invalid documentation path.",
|
||||
error="invalid_path",
|
||||
@@ -107,11 +121,11 @@ class GetDocPageTool(BaseTool):
|
||||
)
|
||||
|
||||
docs_root = self._get_docs_root()
|
||||
full_path = docs_root / path
|
||||
full_path = docs_root / params.path
|
||||
|
||||
if not full_path.exists():
|
||||
return ErrorResponse(
|
||||
message=f"Documentation page not found: {path}",
|
||||
message=f"Documentation page not found: {params.path}",
|
||||
error="not_found",
|
||||
session_id=session_id,
|
||||
)
|
||||
@@ -128,19 +142,19 @@ class GetDocPageTool(BaseTool):
|
||||
|
||||
try:
|
||||
content = full_path.read_text(encoding="utf-8")
|
||||
title = self._extract_title(content, path)
|
||||
title = self._extract_title(content, params.path)
|
||||
|
||||
return DocPageResponse(
|
||||
message=f"Retrieved documentation page: {title}",
|
||||
title=title,
|
||||
path=path,
|
||||
path=params.path,
|
||||
content=content,
|
||||
doc_url=self._make_doc_url(path),
|
||||
doc_url=self._make_doc_url(params.path),
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to read documentation page {path}: {e}")
|
||||
logger.error(f"Failed to read documentation page {params.path}: {e}")
|
||||
return ErrorResponse(
|
||||
message=f"Failed to read documentation page: {str(e)}",
|
||||
error="read_failed",
|
||||
|
||||
@@ -1,29 +0,0 @@
|
||||
"""Shared helpers for chat tools."""
|
||||
|
||||
from typing import Any
|
||||
|
||||
|
||||
def get_inputs_from_schema(
|
||||
input_schema: dict[str, Any],
|
||||
exclude_fields: set[str] | None = None,
|
||||
) -> list[dict[str, Any]]:
|
||||
"""Extract input field info from JSON schema."""
|
||||
if not isinstance(input_schema, dict):
|
||||
return []
|
||||
|
||||
exclude = exclude_fields or set()
|
||||
properties = input_schema.get("properties", {})
|
||||
required = set(input_schema.get("required", []))
|
||||
|
||||
return [
|
||||
{
|
||||
"name": name,
|
||||
"title": schema.get("title", name),
|
||||
"type": schema.get("type", "string"),
|
||||
"description": schema.get("description", ""),
|
||||
"required": name in required,
|
||||
"default": schema.get("default"),
|
||||
}
|
||||
for name, schema in properties.items()
|
||||
if name not in exclude
|
||||
]
|
||||
@@ -24,7 +24,6 @@ from backend.util.timezone_utils import (
|
||||
)
|
||||
|
||||
from .base import BaseTool
|
||||
from .helpers import get_inputs_from_schema
|
||||
from .models import (
|
||||
AgentDetails,
|
||||
AgentDetailsResponse,
|
||||
@@ -262,7 +261,7 @@ class RunAgentTool(BaseTool):
|
||||
),
|
||||
requirements={
|
||||
"credentials": requirements_creds_list,
|
||||
"inputs": get_inputs_from_schema(graph.input_schema),
|
||||
"inputs": self._get_inputs_list(graph.input_schema),
|
||||
"execution_modes": self._get_execution_modes(graph),
|
||||
},
|
||||
),
|
||||
@@ -370,6 +369,22 @@ class RunAgentTool(BaseTool):
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
def _get_inputs_list(self, input_schema: dict[str, Any]) -> list[dict[str, Any]]:
|
||||
"""Extract inputs list from schema."""
|
||||
inputs_list = []
|
||||
if isinstance(input_schema, dict) and "properties" in input_schema:
|
||||
for field_name, field_schema in input_schema["properties"].items():
|
||||
inputs_list.append(
|
||||
{
|
||||
"name": field_name,
|
||||
"title": field_schema.get("title", field_name),
|
||||
"type": field_schema.get("type", "string"),
|
||||
"description": field_schema.get("description", ""),
|
||||
"required": field_name in input_schema.get("required", []),
|
||||
}
|
||||
)
|
||||
return inputs_list
|
||||
|
||||
def _get_execution_modes(self, graph: GraphModel) -> list[str]:
|
||||
"""Get available execution modes for the graph."""
|
||||
trigger_info = graph.trigger_setup_info
|
||||
@@ -383,7 +398,7 @@ class RunAgentTool(BaseTool):
|
||||
suffix: str,
|
||||
) -> str:
|
||||
"""Build a message describing available inputs for an agent."""
|
||||
inputs_list = get_inputs_from_schema(graph.input_schema)
|
||||
inputs_list = self._get_inputs_list(graph.input_schema)
|
||||
required_names = [i["name"] for i in inputs_list if i["required"]]
|
||||
optional_names = [i["name"] for i in inputs_list if not i["required"]]
|
||||
|
||||
|
||||
@@ -5,6 +5,7 @@ import uuid
|
||||
from collections import defaultdict
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, field_validator
|
||||
from pydantic_core import PydanticUndefined
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
@@ -12,15 +13,14 @@ from backend.api.features.chat.tools.find_block import (
|
||||
COPILOT_EXCLUDED_BLOCK_IDS,
|
||||
COPILOT_EXCLUDED_BLOCK_TYPES,
|
||||
)
|
||||
from backend.data.block import AnyBlockSchema, get_block
|
||||
from backend.data.block import get_block
|
||||
from backend.data.execution import ExecutionContext
|
||||
from backend.data.model import CredentialsFieldInfo, CredentialsMetaInput
|
||||
from backend.data.model import CredentialsMetaInput
|
||||
from backend.data.workspace import get_or_create_workspace
|
||||
from backend.integrations.creds_manager import IntegrationCredentialsManager
|
||||
from backend.util.exceptions import BlockError
|
||||
|
||||
from .base import BaseTool
|
||||
from .helpers import get_inputs_from_schema
|
||||
from .models import (
|
||||
BlockOutputResponse,
|
||||
ErrorResponse,
|
||||
@@ -29,14 +29,30 @@ from .models import (
|
||||
ToolResponseBase,
|
||||
UserReadiness,
|
||||
)
|
||||
from .utils import (
|
||||
build_missing_credentials_from_field_info,
|
||||
match_credentials_to_requirements,
|
||||
)
|
||||
from .utils import build_missing_credentials_from_field_info
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class RunBlockInput(BaseModel):
|
||||
"""Input parameters for the run_block tool."""
|
||||
|
||||
block_id: str = ""
|
||||
input_data: dict[str, Any] = {}
|
||||
|
||||
@field_validator("block_id", mode="before")
|
||||
@classmethod
|
||||
def strip_block_id(cls, v: Any) -> str:
|
||||
"""Strip whitespace from block_id."""
|
||||
return v.strip() if isinstance(v, str) else (v if v is not None else "")
|
||||
|
||||
@field_validator("input_data", mode="before")
|
||||
@classmethod
|
||||
def ensure_dict(cls, v: Any) -> dict[str, Any]:
|
||||
"""Ensure input_data is a dict."""
|
||||
return v if isinstance(v, dict) else {}
|
||||
|
||||
|
||||
class RunBlockTool(BaseTool):
|
||||
"""Tool for executing a block and returning its outputs."""
|
||||
|
||||
@@ -81,41 +97,118 @@ class RunBlockTool(BaseTool):
|
||||
def requires_auth(self) -> bool:
|
||||
return True
|
||||
|
||||
async def _check_block_credentials(
|
||||
self,
|
||||
user_id: str,
|
||||
block: Any,
|
||||
input_data: dict[str, Any] | None = None,
|
||||
) -> tuple[dict[str, CredentialsMetaInput], list[CredentialsMetaInput]]:
|
||||
"""
|
||||
Check if user has required credentials for a block.
|
||||
|
||||
Args:
|
||||
user_id: User ID
|
||||
block: Block to check credentials for
|
||||
input_data: Input data for the block (used to determine provider via discriminator)
|
||||
|
||||
Returns:
|
||||
tuple[matched_credentials, missing_credentials]
|
||||
"""
|
||||
matched_credentials: dict[str, CredentialsMetaInput] = {}
|
||||
missing_credentials: list[CredentialsMetaInput] = []
|
||||
input_data = input_data or {}
|
||||
|
||||
# Get credential field info from block's input schema
|
||||
credentials_fields_info = block.input_schema.get_credentials_fields_info()
|
||||
|
||||
if not credentials_fields_info:
|
||||
return matched_credentials, missing_credentials
|
||||
|
||||
# Get user's available credentials
|
||||
creds_manager = IntegrationCredentialsManager()
|
||||
available_creds = await creds_manager.store.get_all_creds(user_id)
|
||||
|
||||
for field_name, field_info in credentials_fields_info.items():
|
||||
effective_field_info = field_info
|
||||
if field_info.discriminator and field_info.discriminator_mapping:
|
||||
# Get discriminator from input, falling back to schema default
|
||||
discriminator_value = input_data.get(field_info.discriminator)
|
||||
if discriminator_value is None:
|
||||
field = block.input_schema.model_fields.get(
|
||||
field_info.discriminator
|
||||
)
|
||||
if field and field.default is not PydanticUndefined:
|
||||
discriminator_value = field.default
|
||||
|
||||
if (
|
||||
discriminator_value
|
||||
and discriminator_value in field_info.discriminator_mapping
|
||||
):
|
||||
effective_field_info = field_info.discriminate(discriminator_value)
|
||||
logger.debug(
|
||||
f"Discriminated provider for {field_name}: "
|
||||
f"{discriminator_value} -> {effective_field_info.provider}"
|
||||
)
|
||||
|
||||
matching_cred = next(
|
||||
(
|
||||
cred
|
||||
for cred in available_creds
|
||||
if cred.provider in effective_field_info.provider
|
||||
and cred.type in effective_field_info.supported_types
|
||||
),
|
||||
None,
|
||||
)
|
||||
|
||||
if matching_cred:
|
||||
matched_credentials[field_name] = CredentialsMetaInput(
|
||||
id=matching_cred.id,
|
||||
provider=matching_cred.provider, # type: ignore
|
||||
type=matching_cred.type,
|
||||
title=matching_cred.title,
|
||||
)
|
||||
else:
|
||||
# Create a placeholder for the missing credential
|
||||
provider = next(iter(effective_field_info.provider), "unknown")
|
||||
cred_type = next(iter(effective_field_info.supported_types), "api_key")
|
||||
missing_credentials.append(
|
||||
CredentialsMetaInput(
|
||||
id=field_name,
|
||||
provider=provider, # type: ignore
|
||||
type=cred_type, # type: ignore
|
||||
title=field_name.replace("_", " ").title(),
|
||||
)
|
||||
)
|
||||
|
||||
return matched_credentials, missing_credentials
|
||||
|
||||
async def _execute(
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
"""Execute a block with the given input data.
|
||||
|
||||
Args:
|
||||
user_id: User ID (required)
|
||||
session: Chat session
|
||||
block_id: Block UUID to execute
|
||||
input_data: Input values for the block
|
||||
**kwargs: Tool parameters
|
||||
|
||||
Returns:
|
||||
BlockOutputResponse: Block execution outputs
|
||||
SetupRequirementsResponse: Missing credentials
|
||||
ErrorResponse: Error message
|
||||
"""
|
||||
block_id = kwargs.get("block_id", "").strip()
|
||||
input_data = kwargs.get("input_data", {})
|
||||
params = RunBlockInput(**kwargs)
|
||||
session_id = session.session_id
|
||||
|
||||
if not block_id:
|
||||
if not params.block_id:
|
||||
return ErrorResponse(
|
||||
message="Please provide a block_id",
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
if not isinstance(input_data, dict):
|
||||
return ErrorResponse(
|
||||
message="input_data must be an object",
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
if not user_id:
|
||||
return ErrorResponse(
|
||||
message="Authentication required",
|
||||
@@ -123,15 +216,15 @@ class RunBlockTool(BaseTool):
|
||||
)
|
||||
|
||||
# Get the block
|
||||
block = get_block(block_id)
|
||||
block = get_block(params.block_id)
|
||||
if not block:
|
||||
return ErrorResponse(
|
||||
message=f"Block '{block_id}' not found",
|
||||
message=f"Block '{params.block_id}' not found",
|
||||
session_id=session_id,
|
||||
)
|
||||
if block.disabled:
|
||||
return ErrorResponse(
|
||||
message=f"Block '{block_id}' is disabled",
|
||||
message=f"Block '{params.block_id}' is disabled",
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
@@ -151,8 +244,8 @@ class RunBlockTool(BaseTool):
|
||||
logger.info(f"Executing block {block.name} ({block_id}) for user {user_id}")
|
||||
|
||||
creds_manager = IntegrationCredentialsManager()
|
||||
matched_credentials, missing_credentials = (
|
||||
await self._resolve_block_credentials(user_id, block, input_data)
|
||||
matched_credentials, missing_credentials = await self._check_block_credentials(
|
||||
user_id, block, params.input_data
|
||||
)
|
||||
|
||||
if missing_credentials:
|
||||
@@ -170,7 +263,7 @@ class RunBlockTool(BaseTool):
|
||||
),
|
||||
session_id=session_id,
|
||||
setup_info=SetupInfo(
|
||||
agent_id=block_id,
|
||||
agent_id=params.block_id,
|
||||
agent_name=block.name,
|
||||
user_readiness=UserReadiness(
|
||||
has_all_credentials=False,
|
||||
@@ -199,7 +292,7 @@ class RunBlockTool(BaseTool):
|
||||
# - node_exec_id = unique per block execution
|
||||
synthetic_graph_id = f"copilot-session-{session.session_id}"
|
||||
synthetic_graph_exec_id = f"copilot-session-{session.session_id}"
|
||||
synthetic_node_id = f"copilot-node-{block_id}"
|
||||
synthetic_node_id = f"copilot-node-{params.block_id}"
|
||||
synthetic_node_exec_id = (
|
||||
f"copilot-{session.session_id}-{uuid.uuid4().hex[:8]}"
|
||||
)
|
||||
@@ -234,8 +327,8 @@ class RunBlockTool(BaseTool):
|
||||
|
||||
for field_name, cred_meta in matched_credentials.items():
|
||||
# Inject metadata into input_data (for validation)
|
||||
if field_name not in input_data:
|
||||
input_data[field_name] = cred_meta.model_dump()
|
||||
if field_name not in params.input_data:
|
||||
params.input_data[field_name] = cred_meta.model_dump()
|
||||
|
||||
# Fetch actual credentials and pass as kwargs (for execution)
|
||||
actual_credentials = await creds_manager.get(
|
||||
@@ -252,14 +345,14 @@ class RunBlockTool(BaseTool):
|
||||
# Execute the block and collect outputs
|
||||
outputs: dict[str, list[Any]] = defaultdict(list)
|
||||
async for output_name, output_data in block.execute(
|
||||
input_data,
|
||||
params.input_data,
|
||||
**exec_kwargs,
|
||||
):
|
||||
outputs[output_name].append(output_data)
|
||||
|
||||
return BlockOutputResponse(
|
||||
message=f"Block '{block.name}' executed successfully",
|
||||
block_id=block_id,
|
||||
block_id=params.block_id,
|
||||
block_name=block.name,
|
||||
outputs=dict(outputs),
|
||||
success=True,
|
||||
@@ -281,75 +374,29 @@ class RunBlockTool(BaseTool):
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
async def _resolve_block_credentials(
|
||||
self,
|
||||
user_id: str,
|
||||
block: AnyBlockSchema,
|
||||
input_data: dict[str, Any] | None = None,
|
||||
) -> tuple[dict[str, CredentialsMetaInput], list[CredentialsMetaInput]]:
|
||||
"""
|
||||
Resolve credentials for a block by matching user's available credentials.
|
||||
|
||||
Args:
|
||||
user_id: User ID
|
||||
block: Block to resolve credentials for
|
||||
input_data: Input data for the block (used to determine provider via discriminator)
|
||||
|
||||
Returns:
|
||||
tuple of (matched_credentials, missing_credentials) - matched credentials
|
||||
are used for block execution, missing ones indicate setup requirements.
|
||||
"""
|
||||
input_data = input_data or {}
|
||||
requirements = self._resolve_discriminated_credentials(block, input_data)
|
||||
|
||||
if not requirements:
|
||||
return {}, []
|
||||
|
||||
return await match_credentials_to_requirements(user_id, requirements)
|
||||
|
||||
def _get_inputs_list(self, block: AnyBlockSchema) -> list[dict[str, Any]]:
|
||||
def _get_inputs_list(self, block: Any) -> list[dict[str, Any]]:
|
||||
"""Extract non-credential inputs from block schema."""
|
||||
inputs_list = []
|
||||
schema = block.input_schema.jsonschema()
|
||||
properties = schema.get("properties", {})
|
||||
required_fields = set(schema.get("required", []))
|
||||
|
||||
# Get credential field names to exclude
|
||||
credentials_fields = set(block.input_schema.get_credentials_fields().keys())
|
||||
return get_inputs_from_schema(schema, exclude_fields=credentials_fields)
|
||||
|
||||
def _resolve_discriminated_credentials(
|
||||
self,
|
||||
block: AnyBlockSchema,
|
||||
input_data: dict[str, Any],
|
||||
) -> dict[str, CredentialsFieldInfo]:
|
||||
"""Resolve credential requirements, applying discriminator logic where needed."""
|
||||
credentials_fields_info = block.input_schema.get_credentials_fields_info()
|
||||
if not credentials_fields_info:
|
||||
return {}
|
||||
for field_name, field_schema in properties.items():
|
||||
# Skip credential fields
|
||||
if field_name in credentials_fields:
|
||||
continue
|
||||
|
||||
resolved: dict[str, CredentialsFieldInfo] = {}
|
||||
inputs_list.append(
|
||||
{
|
||||
"name": field_name,
|
||||
"title": field_schema.get("title", field_name),
|
||||
"type": field_schema.get("type", "string"),
|
||||
"description": field_schema.get("description", ""),
|
||||
"required": field_name in required_fields,
|
||||
}
|
||||
)
|
||||
|
||||
for field_name, field_info in credentials_fields_info.items():
|
||||
effective_field_info = field_info
|
||||
|
||||
if field_info.discriminator and field_info.discriminator_mapping:
|
||||
discriminator_value = input_data.get(field_info.discriminator)
|
||||
if discriminator_value is None:
|
||||
field = block.input_schema.model_fields.get(
|
||||
field_info.discriminator
|
||||
)
|
||||
if field and field.default is not PydanticUndefined:
|
||||
discriminator_value = field.default
|
||||
|
||||
if (
|
||||
discriminator_value
|
||||
and discriminator_value in field_info.discriminator_mapping
|
||||
):
|
||||
effective_field_info = field_info.discriminate(discriminator_value)
|
||||
# For host-scoped credentials, add the discriminator value
|
||||
# (e.g., URL) so _credential_is_for_host can match it
|
||||
effective_field_info.discriminator_values.add(discriminator_value)
|
||||
logger.debug(
|
||||
f"Discriminated provider for {field_name}: "
|
||||
f"{discriminator_value} -> {effective_field_info.provider}"
|
||||
)
|
||||
|
||||
resolved[field_name] = effective_field_info
|
||||
|
||||
return resolved
|
||||
return inputs_list
|
||||
|
||||
@@ -4,6 +4,7 @@ import logging
|
||||
from typing import Any
|
||||
|
||||
from prisma.enums import ContentType
|
||||
from pydantic import BaseModel, field_validator
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
from backend.api.features.chat.tools.base import BaseTool
|
||||
@@ -28,6 +29,18 @@ MAX_RESULTS = 5
|
||||
SNIPPET_LENGTH = 200
|
||||
|
||||
|
||||
class SearchDocsInput(BaseModel):
|
||||
"""Input parameters for the search_docs tool."""
|
||||
|
||||
query: str = ""
|
||||
|
||||
@field_validator("query", mode="before")
|
||||
@classmethod
|
||||
def strip_string(cls, v: Any) -> str:
|
||||
"""Strip whitespace from query."""
|
||||
return v.strip() if isinstance(v, str) else (v if v is not None else "")
|
||||
|
||||
|
||||
class SearchDocsTool(BaseTool):
|
||||
"""Tool for searching AutoGPT platform documentation."""
|
||||
|
||||
@@ -91,24 +104,24 @@ class SearchDocsTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
"""Search documentation and return relevant sections.
|
||||
|
||||
Args:
|
||||
user_id: User ID (not required for docs)
|
||||
session: Chat session
|
||||
query: Search query
|
||||
**kwargs: Tool parameters
|
||||
|
||||
Returns:
|
||||
DocSearchResultsResponse: List of matching documentation sections
|
||||
NoResultsResponse: No results found
|
||||
ErrorResponse: Error message
|
||||
"""
|
||||
query = kwargs.get("query", "").strip()
|
||||
params = SearchDocsInput(**kwargs)
|
||||
session_id = session.session_id if session else None
|
||||
|
||||
if not query:
|
||||
if not params.query:
|
||||
return ErrorResponse(
|
||||
message="Please provide a search query.",
|
||||
error="Missing query parameter",
|
||||
@@ -118,7 +131,7 @@ class SearchDocsTool(BaseTool):
|
||||
try:
|
||||
# Search using hybrid search for DOCUMENTATION content type only
|
||||
results, total = await unified_hybrid_search(
|
||||
query=query,
|
||||
query=params.query,
|
||||
content_types=[ContentType.DOCUMENTATION],
|
||||
page=1,
|
||||
page_size=MAX_RESULTS * 2, # Fetch extra for deduplication
|
||||
@@ -127,7 +140,7 @@ class SearchDocsTool(BaseTool):
|
||||
|
||||
if not results:
|
||||
return NoResultsResponse(
|
||||
message=f"No documentation found for '{query}'.",
|
||||
message=f"No documentation found for '{params.query}'.",
|
||||
suggestions=[
|
||||
"Try different keywords",
|
||||
"Use more general terms",
|
||||
@@ -162,7 +175,7 @@ class SearchDocsTool(BaseTool):
|
||||
|
||||
if not deduplicated:
|
||||
return NoResultsResponse(
|
||||
message=f"No documentation found for '{query}'.",
|
||||
message=f"No documentation found for '{params.query}'.",
|
||||
suggestions=[
|
||||
"Try different keywords",
|
||||
"Use more general terms",
|
||||
@@ -195,7 +208,7 @@ class SearchDocsTool(BaseTool):
|
||||
message=f"Found {len(doc_results)} relevant documentation sections.",
|
||||
results=doc_results,
|
||||
count=len(doc_results),
|
||||
query=query,
|
||||
query=params.query,
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
|
||||
@@ -8,7 +8,6 @@ from backend.api.features.library import model as library_model
|
||||
from backend.api.features.store import db as store_db
|
||||
from backend.data.graph import GraphModel
|
||||
from backend.data.model import (
|
||||
Credentials,
|
||||
CredentialsFieldInfo,
|
||||
CredentialsMetaInput,
|
||||
HostScopedCredentials,
|
||||
@@ -224,99 +223,6 @@ async def get_or_create_library_agent(
|
||||
return library_agents[0]
|
||||
|
||||
|
||||
async def match_credentials_to_requirements(
|
||||
user_id: str,
|
||||
requirements: dict[str, CredentialsFieldInfo],
|
||||
) -> tuple[dict[str, CredentialsMetaInput], list[CredentialsMetaInput]]:
|
||||
"""
|
||||
Match user's credentials against a dictionary of credential requirements.
|
||||
|
||||
This is the core matching logic shared by both graph and block credential matching.
|
||||
"""
|
||||
matched: dict[str, CredentialsMetaInput] = {}
|
||||
missing: list[CredentialsMetaInput] = []
|
||||
|
||||
if not requirements:
|
||||
return matched, missing
|
||||
|
||||
available_creds = await get_user_credentials(user_id)
|
||||
|
||||
for field_name, field_info in requirements.items():
|
||||
matching_cred = find_matching_credential(available_creds, field_info)
|
||||
|
||||
if matching_cred:
|
||||
try:
|
||||
matched[field_name] = create_credential_meta_from_match(matching_cred)
|
||||
except Exception as e:
|
||||
logger.error(
|
||||
f"Failed to create CredentialsMetaInput for field '{field_name}': "
|
||||
f"provider={matching_cred.provider}, type={matching_cred.type}, "
|
||||
f"credential_id={matching_cred.id}",
|
||||
exc_info=True,
|
||||
)
|
||||
provider = next(iter(field_info.provider), "unknown")
|
||||
cred_type = next(iter(field_info.supported_types), "api_key")
|
||||
missing.append(
|
||||
CredentialsMetaInput(
|
||||
id=field_name,
|
||||
provider=provider, # type: ignore
|
||||
type=cred_type, # type: ignore
|
||||
title=f"{field_name} (validation failed: {e})",
|
||||
)
|
||||
)
|
||||
else:
|
||||
provider = next(iter(field_info.provider), "unknown")
|
||||
cred_type = next(iter(field_info.supported_types), "api_key")
|
||||
missing.append(
|
||||
CredentialsMetaInput(
|
||||
id=field_name,
|
||||
provider=provider, # type: ignore
|
||||
type=cred_type, # type: ignore
|
||||
title=field_name.replace("_", " ").title(),
|
||||
)
|
||||
)
|
||||
|
||||
return matched, missing
|
||||
|
||||
|
||||
async def get_user_credentials(user_id: str) -> list[Credentials]:
|
||||
"""Get all available credentials for a user."""
|
||||
creds_manager = IntegrationCredentialsManager()
|
||||
return await creds_manager.store.get_all_creds(user_id)
|
||||
|
||||
|
||||
def find_matching_credential(
|
||||
available_creds: list[Credentials],
|
||||
field_info: CredentialsFieldInfo,
|
||||
) -> Credentials | None:
|
||||
"""Find a credential that matches the required provider, type, scopes, and host."""
|
||||
for cred in available_creds:
|
||||
if cred.provider not in field_info.provider:
|
||||
continue
|
||||
if cred.type not in field_info.supported_types:
|
||||
continue
|
||||
if cred.type == "oauth2" and not _credential_has_required_scopes(
|
||||
cred, field_info
|
||||
):
|
||||
continue
|
||||
if cred.type == "host_scoped" and not _credential_is_for_host(cred, field_info):
|
||||
continue
|
||||
return cred
|
||||
return None
|
||||
|
||||
|
||||
def create_credential_meta_from_match(
|
||||
matching_cred: Credentials,
|
||||
) -> CredentialsMetaInput:
|
||||
"""Create a CredentialsMetaInput from a matched credential."""
|
||||
return CredentialsMetaInput(
|
||||
id=matching_cred.id,
|
||||
provider=matching_cred.provider, # type: ignore
|
||||
type=matching_cred.type,
|
||||
title=matching_cred.title,
|
||||
)
|
||||
|
||||
|
||||
async def match_user_credentials_to_graph(
|
||||
user_id: str,
|
||||
graph: GraphModel,
|
||||
@@ -425,6 +331,8 @@ def _credential_has_required_scopes(
|
||||
# If no scopes are required, any credential matches
|
||||
if not requirements.required_scopes:
|
||||
return True
|
||||
|
||||
# Check that credential scopes are a superset of required scopes
|
||||
return set(credential.scopes).issuperset(requirements.required_scopes)
|
||||
|
||||
|
||||
|
||||
@@ -2,9 +2,9 @@
|
||||
|
||||
import base64
|
||||
import logging
|
||||
from typing import Any, Optional
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel
|
||||
from pydantic import BaseModel, field_validator
|
||||
|
||||
from backend.api.features.chat.model import ChatSession
|
||||
from backend.data.workspace import get_or_create_workspace
|
||||
@@ -78,6 +78,65 @@ class WorkspaceDeleteResponse(ToolResponseBase):
|
||||
success: bool
|
||||
|
||||
|
||||
# Input models for workspace tools
|
||||
class ListWorkspaceFilesInput(BaseModel):
|
||||
"""Input parameters for list_workspace_files tool."""
|
||||
|
||||
path_prefix: str | None = None
|
||||
limit: int = 50
|
||||
include_all_sessions: bool = False
|
||||
|
||||
@field_validator("path_prefix", mode="before")
|
||||
@classmethod
|
||||
def strip_path(cls, v: Any) -> str | None:
|
||||
return v.strip() if isinstance(v, str) else None
|
||||
|
||||
|
||||
class ReadWorkspaceFileInput(BaseModel):
|
||||
"""Input parameters for read_workspace_file tool."""
|
||||
|
||||
file_id: str | None = None
|
||||
path: str | None = None
|
||||
force_download_url: bool = False
|
||||
|
||||
@field_validator("file_id", "path", mode="before")
|
||||
@classmethod
|
||||
def strip_strings(cls, v: Any) -> str | None:
|
||||
return v.strip() if isinstance(v, str) else None
|
||||
|
||||
|
||||
class WriteWorkspaceFileInput(BaseModel):
|
||||
"""Input parameters for write_workspace_file tool."""
|
||||
|
||||
filename: str = ""
|
||||
content_base64: str = ""
|
||||
path: str | None = None
|
||||
mime_type: str | None = None
|
||||
overwrite: bool = False
|
||||
|
||||
@field_validator("filename", "content_base64", mode="before")
|
||||
@classmethod
|
||||
def strip_required(cls, v: Any) -> str:
|
||||
return v.strip() if isinstance(v, str) else (v if v is not None else "")
|
||||
|
||||
@field_validator("path", "mime_type", mode="before")
|
||||
@classmethod
|
||||
def strip_optional(cls, v: Any) -> str | None:
|
||||
return v.strip() if isinstance(v, str) else None
|
||||
|
||||
|
||||
class DeleteWorkspaceFileInput(BaseModel):
|
||||
"""Input parameters for delete_workspace_file tool."""
|
||||
|
||||
file_id: str | None = None
|
||||
path: str | None = None
|
||||
|
||||
@field_validator("file_id", "path", mode="before")
|
||||
@classmethod
|
||||
def strip_strings(cls, v: Any) -> str | None:
|
||||
return v.strip() if isinstance(v, str) else None
|
||||
|
||||
|
||||
class ListWorkspaceFilesTool(BaseTool):
|
||||
"""Tool for listing files in user's workspace."""
|
||||
|
||||
@@ -131,8 +190,9 @@ class ListWorkspaceFilesTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
params = ListWorkspaceFilesInput(**kwargs)
|
||||
session_id = session.session_id
|
||||
|
||||
if not user_id:
|
||||
@@ -141,9 +201,7 @@ class ListWorkspaceFilesTool(BaseTool):
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
path_prefix: Optional[str] = kwargs.get("path_prefix")
|
||||
limit = min(kwargs.get("limit", 50), 100)
|
||||
include_all_sessions: bool = kwargs.get("include_all_sessions", False)
|
||||
limit = min(params.limit, 100)
|
||||
|
||||
try:
|
||||
workspace = await get_or_create_workspace(user_id)
|
||||
@@ -151,13 +209,13 @@ class ListWorkspaceFilesTool(BaseTool):
|
||||
manager = WorkspaceManager(user_id, workspace.id, session_id)
|
||||
|
||||
files = await manager.list_files(
|
||||
path=path_prefix,
|
||||
path=params.path_prefix,
|
||||
limit=limit,
|
||||
include_all_sessions=include_all_sessions,
|
||||
include_all_sessions=params.include_all_sessions,
|
||||
)
|
||||
total = await manager.get_file_count(
|
||||
path=path_prefix,
|
||||
include_all_sessions=include_all_sessions,
|
||||
path=params.path_prefix,
|
||||
include_all_sessions=params.include_all_sessions,
|
||||
)
|
||||
|
||||
file_infos = [
|
||||
@@ -171,7 +229,9 @@ class ListWorkspaceFilesTool(BaseTool):
|
||||
for f in files
|
||||
]
|
||||
|
||||
scope_msg = "all sessions" if include_all_sessions else "current session"
|
||||
scope_msg = (
|
||||
"all sessions" if params.include_all_sessions else "current session"
|
||||
)
|
||||
return WorkspaceFileListResponse(
|
||||
files=file_infos,
|
||||
total_count=total,
|
||||
@@ -259,8 +319,9 @@ class ReadWorkspaceFileTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
params = ReadWorkspaceFileInput(**kwargs)
|
||||
session_id = session.session_id
|
||||
|
||||
if not user_id:
|
||||
@@ -269,11 +330,7 @@ class ReadWorkspaceFileTool(BaseTool):
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
file_id: Optional[str] = kwargs.get("file_id")
|
||||
path: Optional[str] = kwargs.get("path")
|
||||
force_download_url: bool = kwargs.get("force_download_url", False)
|
||||
|
||||
if not file_id and not path:
|
||||
if not params.file_id and not params.path:
|
||||
return ErrorResponse(
|
||||
message="Please provide either file_id or path",
|
||||
session_id=session_id,
|
||||
@@ -285,21 +342,21 @@ class ReadWorkspaceFileTool(BaseTool):
|
||||
manager = WorkspaceManager(user_id, workspace.id, session_id)
|
||||
|
||||
# Get file info
|
||||
if file_id:
|
||||
file_info = await manager.get_file_info(file_id)
|
||||
if params.file_id:
|
||||
file_info = await manager.get_file_info(params.file_id)
|
||||
if file_info is None:
|
||||
return ErrorResponse(
|
||||
message=f"File not found: {file_id}",
|
||||
message=f"File not found: {params.file_id}",
|
||||
session_id=session_id,
|
||||
)
|
||||
target_file_id = file_id
|
||||
target_file_id = params.file_id
|
||||
else:
|
||||
# path is guaranteed to be non-None here due to the check above
|
||||
assert path is not None
|
||||
file_info = await manager.get_file_info_by_path(path)
|
||||
assert params.path is not None
|
||||
file_info = await manager.get_file_info_by_path(params.path)
|
||||
if file_info is None:
|
||||
return ErrorResponse(
|
||||
message=f"File not found at path: {path}",
|
||||
message=f"File not found at path: {params.path}",
|
||||
session_id=session_id,
|
||||
)
|
||||
target_file_id = file_info.id
|
||||
@@ -309,7 +366,7 @@ class ReadWorkspaceFileTool(BaseTool):
|
||||
is_text_file = self._is_text_mime_type(file_info.mimeType)
|
||||
|
||||
# Return inline content for small text files (unless force_download_url)
|
||||
if is_small_file and is_text_file and not force_download_url:
|
||||
if is_small_file and is_text_file and not params.force_download_url:
|
||||
content = await manager.read_file_by_id(target_file_id)
|
||||
content_b64 = base64.b64encode(content).decode("utf-8")
|
||||
|
||||
@@ -429,8 +486,9 @@ class WriteWorkspaceFileTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
params = WriteWorkspaceFileInput(**kwargs)
|
||||
session_id = session.session_id
|
||||
|
||||
if not user_id:
|
||||
@@ -439,19 +497,13 @@ class WriteWorkspaceFileTool(BaseTool):
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
filename: str = kwargs.get("filename", "")
|
||||
content_b64: str = kwargs.get("content_base64", "")
|
||||
path: Optional[str] = kwargs.get("path")
|
||||
mime_type: Optional[str] = kwargs.get("mime_type")
|
||||
overwrite: bool = kwargs.get("overwrite", False)
|
||||
|
||||
if not filename:
|
||||
if not params.filename:
|
||||
return ErrorResponse(
|
||||
message="Please provide a filename",
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
if not content_b64:
|
||||
if not params.content_base64:
|
||||
return ErrorResponse(
|
||||
message="Please provide content_base64",
|
||||
session_id=session_id,
|
||||
@@ -459,7 +511,7 @@ class WriteWorkspaceFileTool(BaseTool):
|
||||
|
||||
# Decode content
|
||||
try:
|
||||
content = base64.b64decode(content_b64)
|
||||
content = base64.b64decode(params.content_base64)
|
||||
except Exception:
|
||||
return ErrorResponse(
|
||||
message="Invalid base64-encoded content",
|
||||
@@ -476,7 +528,7 @@ class WriteWorkspaceFileTool(BaseTool):
|
||||
|
||||
try:
|
||||
# Virus scan
|
||||
await scan_content_safe(content, filename=filename)
|
||||
await scan_content_safe(content, filename=params.filename)
|
||||
|
||||
workspace = await get_or_create_workspace(user_id)
|
||||
# Pass session_id for session-scoped file access
|
||||
@@ -484,10 +536,10 @@ class WriteWorkspaceFileTool(BaseTool):
|
||||
|
||||
file_record = await manager.write_file(
|
||||
content=content,
|
||||
filename=filename,
|
||||
path=path,
|
||||
mime_type=mime_type,
|
||||
overwrite=overwrite,
|
||||
filename=params.filename,
|
||||
path=params.path,
|
||||
mime_type=params.mime_type,
|
||||
overwrite=params.overwrite,
|
||||
)
|
||||
|
||||
return WorkspaceWriteResponse(
|
||||
@@ -557,8 +609,9 @@ class DeleteWorkspaceFileTool(BaseTool):
|
||||
self,
|
||||
user_id: str | None,
|
||||
session: ChatSession,
|
||||
**kwargs,
|
||||
**kwargs: Any,
|
||||
) -> ToolResponseBase:
|
||||
params = DeleteWorkspaceFileInput(**kwargs)
|
||||
session_id = session.session_id
|
||||
|
||||
if not user_id:
|
||||
@@ -567,10 +620,7 @@ class DeleteWorkspaceFileTool(BaseTool):
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
file_id: Optional[str] = kwargs.get("file_id")
|
||||
path: Optional[str] = kwargs.get("path")
|
||||
|
||||
if not file_id and not path:
|
||||
if not params.file_id and not params.path:
|
||||
return ErrorResponse(
|
||||
message="Please provide either file_id or path",
|
||||
session_id=session_id,
|
||||
@@ -583,15 +633,15 @@ class DeleteWorkspaceFileTool(BaseTool):
|
||||
|
||||
# Determine the file_id to delete
|
||||
target_file_id: str
|
||||
if file_id:
|
||||
target_file_id = file_id
|
||||
if params.file_id:
|
||||
target_file_id = params.file_id
|
||||
else:
|
||||
# path is guaranteed to be non-None here due to the check above
|
||||
assert path is not None
|
||||
file_info = await manager.get_file_info_by_path(path)
|
||||
assert params.path is not None
|
||||
file_info = await manager.get_file_info_by_path(params.path)
|
||||
if file_info is None:
|
||||
return ErrorResponse(
|
||||
message=f"File not found at path: {path}",
|
||||
message=f"File not found at path: {params.path}",
|
||||
session_id=session_id,
|
||||
)
|
||||
target_file_id = file_info.id
|
||||
|
||||
@@ -8,7 +8,6 @@ Includes BM25 reranking for improved lexical relevance.
|
||||
|
||||
import logging
|
||||
import re
|
||||
import time
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Literal
|
||||
|
||||
@@ -363,11 +362,7 @@ async def unified_hybrid_search(
|
||||
LIMIT {limit_param} OFFSET {offset_param}
|
||||
"""
|
||||
|
||||
try:
|
||||
results = await query_raw_with_schema(sql_query, *params)
|
||||
except Exception as e:
|
||||
await _log_vector_error_diagnostics(e)
|
||||
raise
|
||||
results = await query_raw_with_schema(sql_query, *params)
|
||||
|
||||
total = results[0]["total_count"] if results else 0
|
||||
# Apply BM25 reranking
|
||||
@@ -691,11 +686,7 @@ async def hybrid_search(
|
||||
LIMIT {limit_param} OFFSET {offset_param}
|
||||
"""
|
||||
|
||||
try:
|
||||
results = await query_raw_with_schema(sql_query, *params)
|
||||
except Exception as e:
|
||||
await _log_vector_error_diagnostics(e)
|
||||
raise
|
||||
results = await query_raw_with_schema(sql_query, *params)
|
||||
|
||||
total = results[0]["total_count"] if results else 0
|
||||
|
||||
@@ -727,87 +718,6 @@ async def hybrid_search_simple(
|
||||
return await hybrid_search(query=query, page=page, page_size=page_size)
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# Diagnostics
|
||||
# ============================================================================
|
||||
|
||||
# Rate limit: only log vector error diagnostics once per this interval
|
||||
_VECTOR_DIAG_INTERVAL_SECONDS = 60
|
||||
_last_vector_diag_time: float = 0
|
||||
|
||||
|
||||
async def _log_vector_error_diagnostics(error: Exception) -> None:
|
||||
"""Log diagnostic info when 'type vector does not exist' error occurs.
|
||||
|
||||
Note: Diagnostic queries use query_raw_with_schema which may run on a different
|
||||
pooled connection than the one that failed. Session-level search_path can differ,
|
||||
so these diagnostics show cluster-wide state, not necessarily the failed session.
|
||||
|
||||
Includes rate limiting to avoid log spam - only logs once per minute.
|
||||
Caller should re-raise the error after calling this function.
|
||||
"""
|
||||
global _last_vector_diag_time
|
||||
|
||||
# Check if this is the vector type error
|
||||
error_str = str(error).lower()
|
||||
if not (
|
||||
"type" in error_str and "vector" in error_str and "does not exist" in error_str
|
||||
):
|
||||
return
|
||||
|
||||
# Rate limit: only log once per interval
|
||||
now = time.time()
|
||||
if now - _last_vector_diag_time < _VECTOR_DIAG_INTERVAL_SECONDS:
|
||||
return
|
||||
_last_vector_diag_time = now
|
||||
|
||||
try:
|
||||
diagnostics: dict[str, object] = {}
|
||||
|
||||
try:
|
||||
search_path_result = await query_raw_with_schema("SHOW search_path")
|
||||
diagnostics["search_path"] = search_path_result
|
||||
except Exception as e:
|
||||
diagnostics["search_path"] = f"Error: {e}"
|
||||
|
||||
try:
|
||||
schema_result = await query_raw_with_schema("SELECT current_schema()")
|
||||
diagnostics["current_schema"] = schema_result
|
||||
except Exception as e:
|
||||
diagnostics["current_schema"] = f"Error: {e}"
|
||||
|
||||
try:
|
||||
user_result = await query_raw_with_schema(
|
||||
"SELECT current_user, session_user, current_database()"
|
||||
)
|
||||
diagnostics["user_info"] = user_result
|
||||
except Exception as e:
|
||||
diagnostics["user_info"] = f"Error: {e}"
|
||||
|
||||
try:
|
||||
# Check pgvector extension installation (cluster-wide, stable info)
|
||||
ext_result = await query_raw_with_schema(
|
||||
"SELECT extname, extversion, nspname as schema "
|
||||
"FROM pg_extension e "
|
||||
"JOIN pg_namespace n ON e.extnamespace = n.oid "
|
||||
"WHERE extname = 'vector'"
|
||||
)
|
||||
diagnostics["pgvector_extension"] = ext_result
|
||||
except Exception as e:
|
||||
diagnostics["pgvector_extension"] = f"Error: {e}"
|
||||
|
||||
logger.error(
|
||||
f"Vector type error diagnostics:\n"
|
||||
f" Error: {error}\n"
|
||||
f" search_path: {diagnostics.get('search_path')}\n"
|
||||
f" current_schema: {diagnostics.get('current_schema')}\n"
|
||||
f" user_info: {diagnostics.get('user_info')}\n"
|
||||
f" pgvector_extension: {diagnostics.get('pgvector_extension')}"
|
||||
)
|
||||
except Exception as diag_error:
|
||||
logger.error(f"Failed to collect vector error diagnostics: {diag_error}")
|
||||
|
||||
|
||||
# Backward compatibility alias - HybridSearchWeights maps to StoreAgentSearchWeights
|
||||
# for existing code that expects the popularity parameter
|
||||
HybridSearchWeights = StoreAgentSearchWeights
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import asyncio
|
||||
import logging
|
||||
from abc import ABC, abstractmethod
|
||||
from enum import Enum
|
||||
@@ -226,10 +225,6 @@ class SyncRabbitMQ(RabbitMQBase):
|
||||
class AsyncRabbitMQ(RabbitMQBase):
|
||||
"""Asynchronous RabbitMQ client"""
|
||||
|
||||
def __init__(self, config: RabbitMQConfig):
|
||||
super().__init__(config)
|
||||
self._reconnect_lock: asyncio.Lock | None = None
|
||||
|
||||
@property
|
||||
def is_connected(self) -> bool:
|
||||
return bool(self._connection and not self._connection.is_closed)
|
||||
@@ -240,17 +235,7 @@ class AsyncRabbitMQ(RabbitMQBase):
|
||||
|
||||
@conn_retry("AsyncRabbitMQ", "Acquiring async connection")
|
||||
async def connect(self):
|
||||
if self.is_connected and self._channel and not self._channel.is_closed:
|
||||
return
|
||||
|
||||
if (
|
||||
self.is_connected
|
||||
and self._connection
|
||||
and (self._channel is None or self._channel.is_closed)
|
||||
):
|
||||
self._channel = await self._connection.channel()
|
||||
await self._channel.set_qos(prefetch_count=1)
|
||||
await self.declare_infrastructure()
|
||||
if self.is_connected:
|
||||
return
|
||||
|
||||
self._connection = await aio_pika.connect_robust(
|
||||
@@ -306,46 +291,24 @@ class AsyncRabbitMQ(RabbitMQBase):
|
||||
exchange, routing_key=queue.routing_key or queue.name
|
||||
)
|
||||
|
||||
@property
|
||||
def _lock(self) -> asyncio.Lock:
|
||||
if self._reconnect_lock is None:
|
||||
self._reconnect_lock = asyncio.Lock()
|
||||
return self._reconnect_lock
|
||||
|
||||
async def _ensure_channel(self) -> aio_pika.abc.AbstractChannel:
|
||||
"""Get a valid channel, reconnecting if the current one is stale.
|
||||
|
||||
Uses a lock to prevent concurrent reconnection attempts from racing.
|
||||
"""
|
||||
if self.is_ready:
|
||||
return self._channel # type: ignore # is_ready guarantees non-None
|
||||
|
||||
async with self._lock:
|
||||
# Double-check after acquiring lock
|
||||
if self.is_ready:
|
||||
return self._channel # type: ignore
|
||||
|
||||
self._channel = None
|
||||
await self.connect()
|
||||
|
||||
if self._channel is None:
|
||||
raise RuntimeError("Channel should be established after connect")
|
||||
|
||||
return self._channel
|
||||
|
||||
async def _publish_once(
|
||||
@func_retry
|
||||
async def publish_message(
|
||||
self,
|
||||
routing_key: str,
|
||||
message: str,
|
||||
exchange: Optional[Exchange] = None,
|
||||
persistent: bool = True,
|
||||
) -> None:
|
||||
channel = await self._ensure_channel()
|
||||
if not self.is_ready:
|
||||
await self.connect()
|
||||
|
||||
if self._channel is None:
|
||||
raise RuntimeError("Channel should be established after connect")
|
||||
|
||||
if exchange:
|
||||
exchange_obj = await channel.get_exchange(exchange.name)
|
||||
exchange_obj = await self._channel.get_exchange(exchange.name)
|
||||
else:
|
||||
exchange_obj = channel.default_exchange
|
||||
exchange_obj = self._channel.default_exchange
|
||||
|
||||
await exchange_obj.publish(
|
||||
aio_pika.Message(
|
||||
@@ -359,23 +322,9 @@ class AsyncRabbitMQ(RabbitMQBase):
|
||||
routing_key=routing_key,
|
||||
)
|
||||
|
||||
@func_retry
|
||||
async def publish_message(
|
||||
self,
|
||||
routing_key: str,
|
||||
message: str,
|
||||
exchange: Optional[Exchange] = None,
|
||||
persistent: bool = True,
|
||||
) -> None:
|
||||
try:
|
||||
await self._publish_once(routing_key, message, exchange, persistent)
|
||||
except aio_pika.exceptions.ChannelInvalidStateError:
|
||||
logger.warning(
|
||||
"RabbitMQ channel invalid, forcing reconnect and retrying publish"
|
||||
)
|
||||
async with self._lock:
|
||||
self._channel = None
|
||||
await self._publish_once(routing_key, message, exchange, persistent)
|
||||
|
||||
async def get_channel(self) -> aio_pika.abc.AbstractChannel:
|
||||
return await self._ensure_channel()
|
||||
if not self.is_ready:
|
||||
await self.connect()
|
||||
if self._channel is None:
|
||||
raise RuntimeError("Channel should be established after connect")
|
||||
return self._channel
|
||||
|
||||
794
autogpt_platform/backend/poetry.lock
generated
794
autogpt_platform/backend/poetry.lock
generated
File diff suppressed because it is too large
Load Diff
@@ -11,7 +11,7 @@ packages = [{ include = "backend", format = "sdist" }]
|
||||
python = ">=3.10,<3.14"
|
||||
aio-pika = "^9.5.5"
|
||||
aiohttp = "^3.10.0"
|
||||
aiodns = "^4.0.0"
|
||||
aiodns = "^3.5.0"
|
||||
anthropic = "^0.79.0"
|
||||
apscheduler = "^3.11.1"
|
||||
autogpt-libs = { path = "../autogpt_libs", develop = true }
|
||||
@@ -19,9 +19,9 @@ bleach = { extras = ["css"], version = "^6.2.0" }
|
||||
click = "^8.2.0"
|
||||
cryptography = "^46.0"
|
||||
discord-py = "^2.5.2"
|
||||
e2b-code-interpreter = "^2.4.1"
|
||||
e2b-code-interpreter = "^1.5.2"
|
||||
elevenlabs = "^1.50.0"
|
||||
fastapi = "^0.128.6"
|
||||
fastapi = "^0.128.5"
|
||||
feedparser = "^6.0.11"
|
||||
flake8 = "^7.3.0"
|
||||
google-api-python-client = "^2.177.0"
|
||||
@@ -29,12 +29,12 @@ google-auth-oauthlib = "^1.2.2"
|
||||
google-cloud-storage = "^3.2.0"
|
||||
googlemaps = "^4.10.0"
|
||||
gravitasml = "^0.1.4"
|
||||
groq = "^1.0.0"
|
||||
groq = "^0.30.0"
|
||||
html2text = "^2024.2.26"
|
||||
jinja2 = "^3.1.6"
|
||||
jsonref = "^1.1.0"
|
||||
jsonschema = "^4.25.0"
|
||||
langfuse = "^3.14.1"
|
||||
langfuse = "^3.11.0"
|
||||
launchdarkly-server-sdk = "^9.14.1"
|
||||
mem0ai = "^0.1.115"
|
||||
moviepy = "^2.1.2"
|
||||
@@ -58,25 +58,25 @@ pytest = "^8.4.1"
|
||||
pytest-asyncio = "^1.1.0"
|
||||
python-dotenv = "^1.1.1"
|
||||
python-multipart = "^0.0.22"
|
||||
redis = "^7.1.1"
|
||||
redis = "^6.2.0"
|
||||
regex = "^2025.9.18"
|
||||
replicate = "^1.0.6"
|
||||
sentry-sdk = {extras = ["anthropic", "fastapi", "launchdarkly", "openai", "sqlalchemy"], version = "^2.44.0"}
|
||||
sqlalchemy = "^2.0.40"
|
||||
strenum = "^0.4.9"
|
||||
stripe = "^11.5.0"
|
||||
supabase = "2.28.0"
|
||||
supabase = "2.27.3"
|
||||
tenacity = "^9.1.4"
|
||||
todoist-api-python = "^3.2.1"
|
||||
todoist-api-python = "^2.1.7"
|
||||
tweepy = "^4.16.0"
|
||||
uvicorn = { extras = ["standard"], version = "^0.40.0" }
|
||||
websockets = "^15.0"
|
||||
youtube-transcript-api = "^1.2.1"
|
||||
yt-dlp = "2026.2.4"
|
||||
yt-dlp = "2025.12.08"
|
||||
zerobouncesdk = "^1.1.2"
|
||||
# NOTE: please insert new dependencies in their alphabetical location
|
||||
pytest-snapshot = "^0.9.0"
|
||||
aiofiles = "^25.1.0"
|
||||
aiofiles = "^24.1.0"
|
||||
tiktoken = "^0.12.0"
|
||||
aioclamd = "^1.0.0"
|
||||
setuptools = "^80.9.0"
|
||||
@@ -85,7 +85,7 @@ pandas = "^2.3.1"
|
||||
firecrawl-py = "^4.3.6"
|
||||
exa-py = "^1.14.20"
|
||||
croniter = "^6.0.0"
|
||||
stagehand = "^3.5.0"
|
||||
stagehand = "^0.5.1"
|
||||
gravitas-md2gdocs = "^0.1.0"
|
||||
posthog = "^7.6.0"
|
||||
|
||||
@@ -94,7 +94,7 @@ aiohappyeyeballs = "^2.6.1"
|
||||
black = "^24.10.0"
|
||||
faker = "^38.2.0"
|
||||
httpx = "^0.28.1"
|
||||
isort = "^7.0.0"
|
||||
isort = "^5.13.2"
|
||||
poethepoet = "^0.41.0"
|
||||
pre-commit = "^4.4.0"
|
||||
pyright = "^1.1.407"
|
||||
|
||||
@@ -25,12 +25,8 @@ RUN if [ -f .env.production ]; then \
|
||||
cp .env.default .env; \
|
||||
fi
|
||||
RUN pnpm run generate:api
|
||||
# Disable source-map generation in Docker builds to halve webpack memory usage.
|
||||
# Source maps are only useful when SENTRY_AUTH_TOKEN is set (Vercel deploys);
|
||||
# the Docker image never uploads them, so generating them just wastes RAM.
|
||||
ENV NEXT_PUBLIC_SOURCEMAPS="false"
|
||||
# In CI, we want NEXT_PUBLIC_PW_TEST=true during build so Next.js inlines it
|
||||
RUN if [ "$NEXT_PUBLIC_PW_TEST" = "true" ]; then NEXT_PUBLIC_PW_TEST=true NODE_OPTIONS="--max-old-space-size=8192" pnpm build; else NODE_OPTIONS="--max-old-space-size=8192" pnpm build; fi
|
||||
RUN if [ "$NEXT_PUBLIC_PW_TEST" = "true" ]; then NEXT_PUBLIC_PW_TEST=true NODE_OPTIONS="--max-old-space-size=4096" pnpm build; else NODE_OPTIONS="--max-old-space-size=4096" pnpm build; fi
|
||||
|
||||
# Prod stage - based on NextJS reference Dockerfile https://github.com/vercel/next.js/blob/64271354533ed16da51be5dce85f0dbd15f17517/examples/with-docker/Dockerfile
|
||||
FROM node:21-alpine AS prod
|
||||
|
||||
@@ -1,12 +1,8 @@
|
||||
import { withSentryConfig } from "@sentry/nextjs";
|
||||
|
||||
// Allow Docker builds to skip source-map generation (halves memory usage).
|
||||
// Defaults to true so Vercel/local builds are unaffected.
|
||||
const enableSourceMaps = process.env.NEXT_PUBLIC_SOURCEMAPS !== "false";
|
||||
|
||||
/** @type {import('next').NextConfig} */
|
||||
const nextConfig = {
|
||||
productionBrowserSourceMaps: enableSourceMaps,
|
||||
productionBrowserSourceMaps: true,
|
||||
// Externalize OpenTelemetry packages to fix Turbopack HMR issues
|
||||
serverExternalPackages: [
|
||||
"@opentelemetry/instrumentation",
|
||||
@@ -18,37 +14,9 @@ const nextConfig = {
|
||||
serverActions: {
|
||||
bodySizeLimit: "256mb",
|
||||
},
|
||||
// Increase body size limit for API routes (file uploads) - 256MB to match backend limit
|
||||
proxyClientMaxBodySize: "256mb",
|
||||
middlewareClientMaxBodySize: "256mb",
|
||||
// Limit parallel webpack workers to reduce peak memory during builds.
|
||||
cpus: 2,
|
||||
},
|
||||
// Work around cssnano "Invalid array length" bug in Next.js's bundled
|
||||
// cssnano-simple comment parser when processing very large CSS chunks.
|
||||
// CSS is still bundled correctly; gzip handles most of the size savings anyway.
|
||||
webpack: (config, { dev }) => {
|
||||
if (!dev) {
|
||||
// Next.js adds CssMinimizerPlugin internally (after user config), so we
|
||||
// can't filter it from config.plugins. Instead, intercept the webpack
|
||||
// compilation hooks and replace the buggy plugin's tap with a no-op.
|
||||
config.plugins.push({
|
||||
apply(compiler) {
|
||||
compiler.hooks.compilation.tap(
|
||||
"DisableCssMinimizer",
|
||||
(compilation) => {
|
||||
compilation.hooks.processAssets.intercept({
|
||||
register: (tap) => {
|
||||
if (tap.name === "CssMinimizerPlugin") {
|
||||
return { ...tap, fn: async () => {} };
|
||||
}
|
||||
return tap;
|
||||
},
|
||||
});
|
||||
},
|
||||
);
|
||||
},
|
||||
});
|
||||
}
|
||||
return config;
|
||||
},
|
||||
images: {
|
||||
domains: [
|
||||
@@ -86,16 +54,9 @@ const nextConfig = {
|
||||
transpilePackages: ["geist"],
|
||||
};
|
||||
|
||||
// Only run the Sentry webpack plugin when we can actually upload source maps
|
||||
// (i.e. on Vercel with SENTRY_AUTH_TOKEN set). The Sentry *runtime* SDK
|
||||
// (imported in app code) still captures errors without the plugin.
|
||||
// Skipping the plugin saves ~1 GB of peak memory during `next build`.
|
||||
const skipSentryPlugin =
|
||||
process.env.NODE_ENV !== "production" ||
|
||||
!enableSourceMaps ||
|
||||
!process.env.SENTRY_AUTH_TOKEN;
|
||||
const isDevelopmentBuild = process.env.NODE_ENV !== "production";
|
||||
|
||||
export default skipSentryPlugin
|
||||
export default isDevelopmentBuild
|
||||
? nextConfig
|
||||
: withSentryConfig(nextConfig, {
|
||||
// For all available options, see:
|
||||
@@ -135,7 +96,7 @@ export default skipSentryPlugin
|
||||
|
||||
// This helps Sentry with sourcemaps... https://docs.sentry.io/platforms/javascript/guides/nextjs/sourcemaps/
|
||||
sourcemaps: {
|
||||
disable: !enableSourceMaps,
|
||||
disable: false,
|
||||
assets: [".next/**/*.js", ".next/**/*.js.map"],
|
||||
ignore: ["**/node_modules/**"],
|
||||
deleteSourcemapsAfterUpload: false, // Source is public anyway :)
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
},
|
||||
"scripts": {
|
||||
"dev": "pnpm run generate:api:force && next dev --turbo",
|
||||
"build": "cross-env NODE_OPTIONS=--max-old-space-size=16384 next build",
|
||||
"build": "next build",
|
||||
"start": "next start",
|
||||
"start:standalone": "cd .next/standalone && node server.js",
|
||||
"lint": "next lint && prettier --check .",
|
||||
@@ -30,7 +30,6 @@
|
||||
"defaults"
|
||||
],
|
||||
"dependencies": {
|
||||
"@ai-sdk/react": "3.0.61",
|
||||
"@faker-js/faker": "10.0.0",
|
||||
"@hookform/resolvers": "5.2.2",
|
||||
"@next/third-parties": "15.4.6",
|
||||
@@ -61,10 +60,6 @@
|
||||
"@rjsf/utils": "6.1.2",
|
||||
"@rjsf/validator-ajv8": "6.1.2",
|
||||
"@sentry/nextjs": "10.27.0",
|
||||
"@streamdown/cjk": "1.0.1",
|
||||
"@streamdown/code": "1.0.1",
|
||||
"@streamdown/math": "1.0.1",
|
||||
"@streamdown/mermaid": "1.0.1",
|
||||
"@supabase/ssr": "0.7.0",
|
||||
"@supabase/supabase-js": "2.78.0",
|
||||
"@tanstack/react-query": "5.90.6",
|
||||
@@ -73,7 +68,6 @@
|
||||
"@vercel/analytics": "1.5.0",
|
||||
"@vercel/speed-insights": "1.2.0",
|
||||
"@xyflow/react": "12.9.2",
|
||||
"ai": "6.0.59",
|
||||
"boring-avatars": "1.11.2",
|
||||
"class-variance-authority": "0.7.1",
|
||||
"clsx": "2.1.1",
|
||||
@@ -93,6 +87,7 @@
|
||||
"launchdarkly-react-client-sdk": "3.9.0",
|
||||
"lodash": "4.17.21",
|
||||
"lucide-react": "0.552.0",
|
||||
"moment": "2.30.1",
|
||||
"next": "15.4.10",
|
||||
"next-themes": "0.4.6",
|
||||
"nuqs": "2.7.2",
|
||||
@@ -117,11 +112,9 @@
|
||||
"remark-math": "6.0.0",
|
||||
"shepherd.js": "14.5.1",
|
||||
"sonner": "2.0.7",
|
||||
"streamdown": "2.1.0",
|
||||
"tailwind-merge": "2.6.0",
|
||||
"tailwind-scrollbar": "3.1.0",
|
||||
"tailwindcss-animate": "1.0.7",
|
||||
"use-stick-to-bottom": "1.1.2",
|
||||
"uuid": "11.1.0",
|
||||
"vaul": "1.1.2",
|
||||
"zod": "3.25.76",
|
||||
@@ -179,8 +172,7 @@
|
||||
},
|
||||
"pnpm": {
|
||||
"overrides": {
|
||||
"@opentelemetry/instrumentation": "0.209.0",
|
||||
"lodash-es": "4.17.23"
|
||||
"@opentelemetry/instrumentation": "0.209.0"
|
||||
}
|
||||
},
|
||||
"packageManager": "pnpm@10.20.0+sha512.cf9998222162dd85864d0a8102e7892e7ba4ceadebbf5a31f9c2fce48dfce317a9c53b9f6464d1ef9042cba2e02ae02a9f7c143a2b438cd93c91840f0192b9dd"
|
||||
|
||||
1180
autogpt_platform/frontend/pnpm-lock.yaml
generated
1180
autogpt_platform/frontend/pnpm-lock.yaml
generated
File diff suppressed because it is too large
Load Diff
@@ -1,4 +1,4 @@
|
||||
import debounce from "lodash/debounce";
|
||||
import { debounce } from "lodash";
|
||||
import { useCallback, useEffect, useRef, useState } from "react";
|
||||
import { useBlockMenuStore } from "../../../../stores/blockMenuStore";
|
||||
import { getQueryClient } from "@/lib/react-query/queryClient";
|
||||
|
||||
@@ -70,10 +70,10 @@ export const HorizontalScroll: React.FC<HorizontalScrollAreaProps> = ({
|
||||
{children}
|
||||
</div>
|
||||
{canScrollLeft && (
|
||||
<div className="pointer-events-none absolute inset-y-0 left-0 w-8 bg-gradient-to-r from-background via-background/80 to-background/0" />
|
||||
<div className="pointer-events-none absolute inset-y-0 left-0 w-8 bg-gradient-to-r from-white via-white/80 to-white/0" />
|
||||
)}
|
||||
{canScrollRight && (
|
||||
<div className="pointer-events-none absolute inset-y-0 right-0 w-8 bg-gradient-to-l from-background via-background/80 to-background/0" />
|
||||
<div className="pointer-events-none absolute inset-y-0 right-0 w-8 bg-gradient-to-l from-white via-white/80 to-white/0" />
|
||||
)}
|
||||
{canScrollLeft && (
|
||||
<button
|
||||
|
||||
@@ -1,80 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { SidebarProvider } from "@/components/ui/sidebar";
|
||||
import { ChatContainer } from "./components/ChatContainer/ChatContainer";
|
||||
import { ChatSidebar } from "./components/ChatSidebar/ChatSidebar";
|
||||
import { MobileDrawer } from "./components/MobileDrawer/MobileDrawer";
|
||||
import { MobileHeader } from "./components/MobileHeader/MobileHeader";
|
||||
import { ScaleLoader } from "./components/ScaleLoader/ScaleLoader";
|
||||
import { useCopilotPage } from "./useCopilotPage";
|
||||
|
||||
export function CopilotPage() {
|
||||
const {
|
||||
sessionId,
|
||||
messages,
|
||||
status,
|
||||
error,
|
||||
stop,
|
||||
createSession,
|
||||
onSend,
|
||||
isLoadingSession,
|
||||
isCreatingSession,
|
||||
isUserLoading,
|
||||
isLoggedIn,
|
||||
// Mobile drawer
|
||||
isMobile,
|
||||
isDrawerOpen,
|
||||
sessions,
|
||||
isLoadingSessions,
|
||||
handleOpenDrawer,
|
||||
handleCloseDrawer,
|
||||
handleDrawerOpenChange,
|
||||
handleSelectSession,
|
||||
handleNewChat,
|
||||
} = useCopilotPage();
|
||||
|
||||
if (isUserLoading || !isLoggedIn) {
|
||||
return (
|
||||
<div className="fixed inset-0 z-50 flex items-center justify-center bg-[#f8f8f9]">
|
||||
<ScaleLoader className="text-neutral-400" />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<SidebarProvider
|
||||
defaultOpen={true}
|
||||
className="h-[calc(100vh-72px)] min-h-0"
|
||||
>
|
||||
{!isMobile && <ChatSidebar />}
|
||||
<div className="relative flex h-full w-full flex-col overflow-hidden bg-[#f8f8f9] px-0">
|
||||
{isMobile && <MobileHeader onOpenDrawer={handleOpenDrawer} />}
|
||||
<div className="flex-1 overflow-hidden">
|
||||
<ChatContainer
|
||||
messages={messages}
|
||||
status={status}
|
||||
error={error}
|
||||
sessionId={sessionId}
|
||||
isLoadingSession={isLoadingSession}
|
||||
isCreatingSession={isCreatingSession}
|
||||
onCreateSession={createSession}
|
||||
onSend={onSend}
|
||||
onStop={stop}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
{isMobile && (
|
||||
<MobileDrawer
|
||||
isOpen={isDrawerOpen}
|
||||
sessions={sessions}
|
||||
currentSessionId={sessionId}
|
||||
isLoading={isLoadingSessions}
|
||||
onSelectSession={handleSelectSession}
|
||||
onNewChat={handleNewChat}
|
||||
onClose={handleCloseDrawer}
|
||||
onOpenChange={handleDrawerOpenChange}
|
||||
/>
|
||||
)}
|
||||
</SidebarProvider>
|
||||
);
|
||||
}
|
||||
@@ -1,74 +0,0 @@
|
||||
"use client";
|
||||
import { ChatInput } from "@/app/(platform)/copilot/components/ChatInput/ChatInput";
|
||||
import { UIDataTypes, UIMessage, UITools } from "ai";
|
||||
import { LayoutGroup, motion } from "framer-motion";
|
||||
import { ChatMessagesContainer } from "../ChatMessagesContainer/ChatMessagesContainer";
|
||||
import { CopilotChatActionsProvider } from "../CopilotChatActionsProvider/CopilotChatActionsProvider";
|
||||
import { EmptySession } from "../EmptySession/EmptySession";
|
||||
|
||||
export interface ChatContainerProps {
|
||||
messages: UIMessage<unknown, UIDataTypes, UITools>[];
|
||||
status: string;
|
||||
error: Error | undefined;
|
||||
sessionId: string | null;
|
||||
isLoadingSession: boolean;
|
||||
isCreatingSession: boolean;
|
||||
onCreateSession: () => void | Promise<string>;
|
||||
onSend: (message: string) => void | Promise<void>;
|
||||
onStop: () => void;
|
||||
}
|
||||
export const ChatContainer = ({
|
||||
messages,
|
||||
status,
|
||||
error,
|
||||
sessionId,
|
||||
isLoadingSession,
|
||||
isCreatingSession,
|
||||
onCreateSession,
|
||||
onSend,
|
||||
onStop,
|
||||
}: ChatContainerProps) => {
|
||||
const inputLayoutId = "copilot-2-chat-input";
|
||||
|
||||
return (
|
||||
<CopilotChatActionsProvider onSend={onSend}>
|
||||
<LayoutGroup id="copilot-2-chat-layout">
|
||||
<div className="flex h-full min-h-0 w-full flex-col bg-[#f8f8f9] px-2 lg:px-0">
|
||||
{sessionId ? (
|
||||
<div className="mx-auto flex h-full min-h-0 w-full max-w-3xl flex-col">
|
||||
<ChatMessagesContainer
|
||||
messages={messages}
|
||||
status={status}
|
||||
error={error}
|
||||
isLoading={isLoadingSession}
|
||||
/>
|
||||
<motion.div
|
||||
initial={{ opacity: 0 }}
|
||||
animate={{ opacity: 1 }}
|
||||
transition={{ duration: 0.3 }}
|
||||
className="relative px-3 pb-2 pt-2"
|
||||
>
|
||||
<div className="pointer-events-none absolute left-0 right-0 top-[-18px] z-10 h-6 bg-gradient-to-b from-transparent to-[#f8f8f9]" />
|
||||
<ChatInput
|
||||
inputId="chat-input-session"
|
||||
onSend={onSend}
|
||||
disabled={status === "streaming"}
|
||||
isStreaming={status === "streaming"}
|
||||
onStop={onStop}
|
||||
placeholder="What else can I help with?"
|
||||
/>
|
||||
</motion.div>
|
||||
</div>
|
||||
) : (
|
||||
<EmptySession
|
||||
inputLayoutId={inputLayoutId}
|
||||
isCreatingSession={isCreatingSession}
|
||||
onCreateSession={onCreateSession}
|
||||
onSend={onSend}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
</LayoutGroup>
|
||||
</CopilotChatActionsProvider>
|
||||
);
|
||||
};
|
||||
@@ -1,274 +0,0 @@
|
||||
import { getGetWorkspaceDownloadFileByIdUrl } from "@/app/api/__generated__/endpoints/workspace/workspace";
|
||||
import {
|
||||
Conversation,
|
||||
ConversationContent,
|
||||
ConversationScrollButton,
|
||||
} from "@/components/ai-elements/conversation";
|
||||
import {
|
||||
Message,
|
||||
MessageContent,
|
||||
MessageResponse,
|
||||
} from "@/components/ai-elements/message";
|
||||
import { LoadingSpinner } from "@/components/atoms/LoadingSpinner/LoadingSpinner";
|
||||
import { ToolUIPart, UIDataTypes, UIMessage, UITools } from "ai";
|
||||
import { useEffect, useState } from "react";
|
||||
import { CreateAgentTool } from "../../tools/CreateAgent/CreateAgent";
|
||||
import { EditAgentTool } from "../../tools/EditAgent/EditAgent";
|
||||
import { FindAgentsTool } from "../../tools/FindAgents/FindAgents";
|
||||
import { FindBlocksTool } from "../../tools/FindBlocks/FindBlocks";
|
||||
import { RunAgentTool } from "../../tools/RunAgent/RunAgent";
|
||||
import { RunBlockTool } from "../../tools/RunBlock/RunBlock";
|
||||
import { SearchDocsTool } from "../../tools/SearchDocs/SearchDocs";
|
||||
import { ViewAgentOutputTool } from "../../tools/ViewAgentOutput/ViewAgentOutput";
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Workspace media support
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
/**
|
||||
* Resolve workspace:// URLs in markdown text to proxy download URLs.
|
||||
* Detects MIME type from the hash fragment (e.g. workspace://id#video/mp4)
|
||||
* and prefixes the alt text with "video:" so the custom img component can
|
||||
* render a <video> element instead.
|
||||
*/
|
||||
function resolveWorkspaceUrls(text: string): string {
|
||||
return text.replace(
|
||||
/!\[([^\]]*)\]\(workspace:\/\/([^)#\s]+)(?:#([^)\s]*))?\)/g,
|
||||
(_match, alt: string, fileId: string, mimeHint?: string) => {
|
||||
const apiPath = getGetWorkspaceDownloadFileByIdUrl(fileId);
|
||||
const url = `/api/proxy${apiPath}`;
|
||||
if (mimeHint?.startsWith("video/")) {
|
||||
return ``;
|
||||
}
|
||||
return ``;
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* Custom img component for Streamdown that renders <video> elements
|
||||
* for workspace video files (detected via "video:" alt-text prefix).
|
||||
* Falls back to <video> when an <img> fails to load for workspace files.
|
||||
*/
|
||||
function WorkspaceMediaImage(props: React.JSX.IntrinsicElements["img"]) {
|
||||
const { src, alt, ...rest } = props;
|
||||
const [imgFailed, setImgFailed] = useState(false);
|
||||
const isWorkspace = src?.includes("/workspace/files/") ?? false;
|
||||
|
||||
if (!src) return null;
|
||||
|
||||
if (alt?.startsWith("video:") || (imgFailed && isWorkspace)) {
|
||||
return (
|
||||
<span className="my-2 inline-block">
|
||||
<video
|
||||
controls
|
||||
className="h-auto max-w-full rounded-md border border-zinc-200"
|
||||
preload="metadata"
|
||||
>
|
||||
<source src={src} />
|
||||
Your browser does not support the video tag.
|
||||
</video>
|
||||
</span>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
// eslint-disable-next-line @next/next/no-img-element
|
||||
<img
|
||||
src={src}
|
||||
alt={alt || "Image"}
|
||||
className="h-auto max-w-full rounded-md border border-zinc-200"
|
||||
loading="lazy"
|
||||
onError={() => {
|
||||
if (isWorkspace) setImgFailed(true);
|
||||
}}
|
||||
{...rest}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
/** Stable components override for Streamdown (avoids re-creating on every render). */
|
||||
const STREAMDOWN_COMPONENTS = { img: WorkspaceMediaImage };
|
||||
|
||||
const THINKING_PHRASES = [
|
||||
"Thinking...",
|
||||
"Considering this...",
|
||||
"Working through this...",
|
||||
"Analyzing your request...",
|
||||
"Reasoning...",
|
||||
"Looking into it...",
|
||||
"Processing your request...",
|
||||
"Mulling this over...",
|
||||
"Piecing it together...",
|
||||
"On it...",
|
||||
];
|
||||
|
||||
function getRandomPhrase() {
|
||||
return THINKING_PHRASES[Math.floor(Math.random() * THINKING_PHRASES.length)];
|
||||
}
|
||||
|
||||
interface ChatMessagesContainerProps {
|
||||
messages: UIMessage<unknown, UIDataTypes, UITools>[];
|
||||
status: string;
|
||||
error: Error | undefined;
|
||||
isLoading: boolean;
|
||||
}
|
||||
|
||||
export const ChatMessagesContainer = ({
|
||||
messages,
|
||||
status,
|
||||
error,
|
||||
isLoading,
|
||||
}: ChatMessagesContainerProps) => {
|
||||
const [thinkingPhrase, setThinkingPhrase] = useState(getRandomPhrase);
|
||||
|
||||
useEffect(() => {
|
||||
if (status === "submitted") {
|
||||
setThinkingPhrase(getRandomPhrase());
|
||||
}
|
||||
}, [status]);
|
||||
|
||||
const lastMessage = messages[messages.length - 1];
|
||||
const lastAssistantHasVisibleContent =
|
||||
lastMessage?.role === "assistant" &&
|
||||
lastMessage.parts.some(
|
||||
(p) =>
|
||||
(p.type === "text" && p.text.trim().length > 0) ||
|
||||
p.type.startsWith("tool-"),
|
||||
);
|
||||
|
||||
const showThinking =
|
||||
status === "submitted" ||
|
||||
(status === "streaming" && !lastAssistantHasVisibleContent);
|
||||
|
||||
return (
|
||||
<Conversation className="min-h-0 flex-1">
|
||||
<ConversationContent className="flex min-h-screen flex-1 flex-col gap-6 px-3 py-6">
|
||||
{isLoading && messages.length === 0 && (
|
||||
<div className="flex min-h-full flex-1 items-center justify-center">
|
||||
<LoadingSpinner className="text-neutral-600" />
|
||||
</div>
|
||||
)}
|
||||
{messages.map((message, messageIndex) => {
|
||||
const isLastAssistant =
|
||||
messageIndex === messages.length - 1 &&
|
||||
message.role === "assistant";
|
||||
const messageHasVisibleContent = message.parts.some(
|
||||
(p) =>
|
||||
(p.type === "text" && p.text.trim().length > 0) ||
|
||||
p.type.startsWith("tool-"),
|
||||
);
|
||||
|
||||
return (
|
||||
<Message from={message.role} key={message.id}>
|
||||
<MessageContent
|
||||
className={
|
||||
"text-[1rem] leading-relaxed " +
|
||||
"group-[.is-user]:rounded-xl group-[.is-user]:bg-purple-100 group-[.is-user]:px-3 group-[.is-user]:py-2.5 group-[.is-user]:text-slate-900 group-[.is-user]:[border-bottom-right-radius:0] " +
|
||||
"group-[.is-assistant]:bg-transparent group-[.is-assistant]:text-slate-900"
|
||||
}
|
||||
>
|
||||
{message.parts.map((part, i) => {
|
||||
switch (part.type) {
|
||||
case "text":
|
||||
return (
|
||||
<MessageResponse
|
||||
key={`${message.id}-${i}`}
|
||||
components={STREAMDOWN_COMPONENTS}
|
||||
>
|
||||
{resolveWorkspaceUrls(part.text)}
|
||||
</MessageResponse>
|
||||
);
|
||||
case "tool-find_block":
|
||||
return (
|
||||
<FindBlocksTool
|
||||
key={`${message.id}-${i}`}
|
||||
part={part as ToolUIPart}
|
||||
/>
|
||||
);
|
||||
case "tool-find_agent":
|
||||
case "tool-find_library_agent":
|
||||
return (
|
||||
<FindAgentsTool
|
||||
key={`${message.id}-${i}`}
|
||||
part={part as ToolUIPart}
|
||||
/>
|
||||
);
|
||||
case "tool-search_docs":
|
||||
case "tool-get_doc_page":
|
||||
return (
|
||||
<SearchDocsTool
|
||||
key={`${message.id}-${i}`}
|
||||
part={part as ToolUIPart}
|
||||
/>
|
||||
);
|
||||
case "tool-run_block":
|
||||
return (
|
||||
<RunBlockTool
|
||||
key={`${message.id}-${i}`}
|
||||
part={part as ToolUIPart}
|
||||
/>
|
||||
);
|
||||
case "tool-run_agent":
|
||||
case "tool-schedule_agent":
|
||||
return (
|
||||
<RunAgentTool
|
||||
key={`${message.id}-${i}`}
|
||||
part={part as ToolUIPart}
|
||||
/>
|
||||
);
|
||||
case "tool-create_agent":
|
||||
return (
|
||||
<CreateAgentTool
|
||||
key={`${message.id}-${i}`}
|
||||
part={part as ToolUIPart}
|
||||
/>
|
||||
);
|
||||
case "tool-edit_agent":
|
||||
return (
|
||||
<EditAgentTool
|
||||
key={`${message.id}-${i}`}
|
||||
part={part as ToolUIPart}
|
||||
/>
|
||||
);
|
||||
case "tool-view_agent_output":
|
||||
return (
|
||||
<ViewAgentOutputTool
|
||||
key={`${message.id}-${i}`}
|
||||
part={part as ToolUIPart}
|
||||
/>
|
||||
);
|
||||
default:
|
||||
return null;
|
||||
}
|
||||
})}
|
||||
{isLastAssistant &&
|
||||
!messageHasVisibleContent &&
|
||||
showThinking && (
|
||||
<span className="inline-block animate-shimmer bg-gradient-to-r from-neutral-400 via-neutral-600 to-neutral-400 bg-[length:200%_100%] bg-clip-text text-transparent">
|
||||
{thinkingPhrase}
|
||||
</span>
|
||||
)}
|
||||
</MessageContent>
|
||||
</Message>
|
||||
);
|
||||
})}
|
||||
{showThinking && lastMessage?.role !== "assistant" && (
|
||||
<Message from="assistant">
|
||||
<MessageContent className="text-[1rem] leading-relaxed">
|
||||
<span className="inline-block animate-shimmer bg-gradient-to-r from-neutral-400 via-neutral-600 to-neutral-400 bg-[length:200%_100%] bg-clip-text text-transparent">
|
||||
{thinkingPhrase}
|
||||
</span>
|
||||
</MessageContent>
|
||||
</Message>
|
||||
)}
|
||||
{error && (
|
||||
<div className="rounded-lg bg-red-50 p-3 text-red-600">
|
||||
Error: {error.message}
|
||||
</div>
|
||||
)}
|
||||
</ConversationContent>
|
||||
<ConversationScrollButton />
|
||||
</Conversation>
|
||||
);
|
||||
};
|
||||
@@ -1,188 +0,0 @@
|
||||
"use client";
|
||||
import { useGetV2ListSessions } from "@/app/api/__generated__/endpoints/chat/chat";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import { LoadingSpinner } from "@/components/atoms/LoadingSpinner/LoadingSpinner";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import {
|
||||
Sidebar,
|
||||
SidebarContent,
|
||||
SidebarFooter,
|
||||
SidebarHeader,
|
||||
SidebarTrigger,
|
||||
useSidebar,
|
||||
} from "@/components/ui/sidebar";
|
||||
import { cn } from "@/lib/utils";
|
||||
import { PlusCircleIcon, PlusIcon } from "@phosphor-icons/react";
|
||||
import { motion } from "framer-motion";
|
||||
import { parseAsString, useQueryState } from "nuqs";
|
||||
|
||||
export function ChatSidebar() {
|
||||
const { state } = useSidebar();
|
||||
const isCollapsed = state === "collapsed";
|
||||
const [sessionId, setSessionId] = useQueryState("sessionId", parseAsString);
|
||||
|
||||
const { data: sessionsResponse, isLoading: isLoadingSessions } =
|
||||
useGetV2ListSessions({ limit: 50 });
|
||||
|
||||
const sessions =
|
||||
sessionsResponse?.status === 200 ? sessionsResponse.data.sessions : [];
|
||||
|
||||
function handleNewChat() {
|
||||
setSessionId(null);
|
||||
}
|
||||
|
||||
function handleSelectSession(id: string) {
|
||||
setSessionId(id);
|
||||
}
|
||||
|
||||
function formatDate(dateString: string) {
|
||||
const date = new Date(dateString);
|
||||
const now = new Date();
|
||||
const diffMs = now.getTime() - date.getTime();
|
||||
const diffDays = Math.floor(diffMs / (1000 * 60 * 60 * 24));
|
||||
|
||||
if (diffDays === 0) return "Today";
|
||||
if (diffDays === 1) return "Yesterday";
|
||||
if (diffDays < 7) return `${diffDays} days ago`;
|
||||
|
||||
const day = date.getDate();
|
||||
const ordinal =
|
||||
day % 10 === 1 && day !== 11
|
||||
? "st"
|
||||
: day % 10 === 2 && day !== 12
|
||||
? "nd"
|
||||
: day % 10 === 3 && day !== 13
|
||||
? "rd"
|
||||
: "th";
|
||||
const month = date.toLocaleDateString("en-US", { month: "short" });
|
||||
const year = date.getFullYear();
|
||||
|
||||
return `${day}${ordinal} ${month} ${year}`;
|
||||
}
|
||||
|
||||
return (
|
||||
<Sidebar
|
||||
variant="inset"
|
||||
collapsible="icon"
|
||||
className="!top-[50px] !h-[calc(100vh-50px)] border-r border-zinc-100 px-0"
|
||||
>
|
||||
{isCollapsed && (
|
||||
<SidebarHeader
|
||||
className={cn(
|
||||
"flex",
|
||||
isCollapsed
|
||||
? "flex-row items-center justify-between gap-y-4 md:flex-col md:items-start md:justify-start"
|
||||
: "flex-row items-center justify-between",
|
||||
)}
|
||||
>
|
||||
<motion.div
|
||||
key={isCollapsed ? "header-collapsed" : "header-expanded"}
|
||||
className="flex flex-col items-center gap-3 pt-4"
|
||||
initial={{ opacity: 0, filter: "blur(3px)" }}
|
||||
animate={{ opacity: 1, filter: "blur(0px)" }}
|
||||
transition={{ type: "spring", bounce: 0.2 }}
|
||||
>
|
||||
<div className="flex flex-col items-center gap-2">
|
||||
<SidebarTrigger />
|
||||
<Button
|
||||
variant="ghost"
|
||||
onClick={handleNewChat}
|
||||
style={{ minWidth: "auto", width: "auto" }}
|
||||
>
|
||||
<PlusCircleIcon className="!size-5" />
|
||||
<span className="sr-only">New Chat</span>
|
||||
</Button>
|
||||
</div>
|
||||
</motion.div>
|
||||
</SidebarHeader>
|
||||
)}
|
||||
<SidebarContent className="gap-4 overflow-y-auto px-4 py-4 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
|
||||
{!isCollapsed && (
|
||||
<motion.div
|
||||
initial={{ opacity: 0 }}
|
||||
animate={{ opacity: 1 }}
|
||||
transition={{ duration: 0.2, delay: 0.1 }}
|
||||
className="flex items-center justify-between px-3"
|
||||
>
|
||||
<Text variant="h3" size="body-medium">
|
||||
Your chats
|
||||
</Text>
|
||||
<div className="relative left-6">
|
||||
<SidebarTrigger />
|
||||
</div>
|
||||
</motion.div>
|
||||
)}
|
||||
|
||||
{!isCollapsed && (
|
||||
<motion.div
|
||||
initial={{ opacity: 0 }}
|
||||
animate={{ opacity: 1 }}
|
||||
transition={{ duration: 0.2, delay: 0.15 }}
|
||||
className="mt-4 flex flex-col gap-1"
|
||||
>
|
||||
{isLoadingSessions ? (
|
||||
<div className="flex min-h-[30rem] items-center justify-center py-4">
|
||||
<LoadingSpinner size="small" className="text-neutral-600" />
|
||||
</div>
|
||||
) : sessions.length === 0 ? (
|
||||
<p className="py-4 text-center text-sm text-neutral-500">
|
||||
No conversations yet
|
||||
</p>
|
||||
) : (
|
||||
sessions.map((session) => (
|
||||
<button
|
||||
key={session.id}
|
||||
onClick={() => handleSelectSession(session.id)}
|
||||
className={cn(
|
||||
"w-full rounded-lg px-3 py-2.5 text-left transition-colors",
|
||||
session.id === sessionId
|
||||
? "bg-zinc-100"
|
||||
: "hover:bg-zinc-50",
|
||||
)}
|
||||
>
|
||||
<div className="flex min-w-0 max-w-full flex-col overflow-hidden">
|
||||
<div className="min-w-0 max-w-full">
|
||||
<Text
|
||||
variant="body"
|
||||
className={cn(
|
||||
"truncate font-normal",
|
||||
session.id === sessionId
|
||||
? "text-zinc-600"
|
||||
: "text-zinc-800",
|
||||
)}
|
||||
>
|
||||
{session.title || `Untitled chat`}
|
||||
</Text>
|
||||
</div>
|
||||
<Text variant="small" className="text-neutral-400">
|
||||
{formatDate(session.updated_at)}
|
||||
</Text>
|
||||
</div>
|
||||
</button>
|
||||
))
|
||||
)}
|
||||
</motion.div>
|
||||
)}
|
||||
</SidebarContent>
|
||||
{!isCollapsed && sessionId && (
|
||||
<SidebarFooter className="shrink-0 bg-zinc-50 p-3 pb-1 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
|
||||
<motion.div
|
||||
initial={{ opacity: 0 }}
|
||||
animate={{ opacity: 1 }}
|
||||
transition={{ duration: 0.2, delay: 0.2 }}
|
||||
>
|
||||
<Button
|
||||
variant="primary"
|
||||
size="small"
|
||||
onClick={handleNewChat}
|
||||
className="w-full"
|
||||
leftIcon={<PlusIcon className="h-4 w-4" weight="bold" />}
|
||||
>
|
||||
New Chat
|
||||
</Button>
|
||||
</motion.div>
|
||||
</SidebarFooter>
|
||||
)}
|
||||
</Sidebar>
|
||||
);
|
||||
}
|
||||
@@ -1,16 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { CopilotChatActionsContext } from "./useCopilotChatActions";
|
||||
|
||||
interface Props {
|
||||
onSend: (message: string) => void | Promise<void>;
|
||||
children: React.ReactNode;
|
||||
}
|
||||
|
||||
export function CopilotChatActionsProvider({ onSend, children }: Props) {
|
||||
return (
|
||||
<CopilotChatActionsContext.Provider value={{ onSend }}>
|
||||
{children}
|
||||
</CopilotChatActionsContext.Provider>
|
||||
);
|
||||
}
|
||||
@@ -1,23 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { createContext, useContext } from "react";
|
||||
|
||||
interface CopilotChatActions {
|
||||
onSend: (message: string) => void | Promise<void>;
|
||||
}
|
||||
|
||||
const CopilotChatActionsContext = createContext<CopilotChatActions | null>(
|
||||
null,
|
||||
);
|
||||
|
||||
export function useCopilotChatActions(): CopilotChatActions {
|
||||
const ctx = useContext(CopilotChatActionsContext);
|
||||
if (!ctx) {
|
||||
throw new Error(
|
||||
"useCopilotChatActions must be used within CopilotChatActionsProvider",
|
||||
);
|
||||
}
|
||||
return ctx;
|
||||
}
|
||||
|
||||
export { CopilotChatActionsContext };
|
||||
@@ -0,0 +1,99 @@
|
||||
"use client";
|
||||
|
||||
import { ChatLoader } from "@/components/contextual/Chat/components/ChatLoader/ChatLoader";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import { NAVBAR_HEIGHT_PX } from "@/lib/constants";
|
||||
import type { ReactNode } from "react";
|
||||
import { DesktopSidebar } from "./components/DesktopSidebar/DesktopSidebar";
|
||||
import { MobileDrawer } from "./components/MobileDrawer/MobileDrawer";
|
||||
import { MobileHeader } from "./components/MobileHeader/MobileHeader";
|
||||
import { useCopilotShell } from "./useCopilotShell";
|
||||
|
||||
interface Props {
|
||||
children: ReactNode;
|
||||
}
|
||||
|
||||
export function CopilotShell({ children }: Props) {
|
||||
const {
|
||||
isMobile,
|
||||
isDrawerOpen,
|
||||
isLoading,
|
||||
isCreatingSession,
|
||||
isLoggedIn,
|
||||
hasActiveSession,
|
||||
sessions,
|
||||
currentSessionId,
|
||||
handleOpenDrawer,
|
||||
handleCloseDrawer,
|
||||
handleDrawerOpenChange,
|
||||
handleNewChatClick,
|
||||
handleSessionClick,
|
||||
hasNextPage,
|
||||
isFetchingNextPage,
|
||||
fetchNextPage,
|
||||
} = useCopilotShell();
|
||||
|
||||
if (!isLoggedIn) {
|
||||
return (
|
||||
<div className="flex h-full items-center justify-center">
|
||||
<ChatLoader />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div
|
||||
className="flex overflow-hidden bg-[#EFEFF0]"
|
||||
style={{ height: `calc(100vh - ${NAVBAR_HEIGHT_PX}px)` }}
|
||||
>
|
||||
{!isMobile && (
|
||||
<DesktopSidebar
|
||||
sessions={sessions}
|
||||
currentSessionId={currentSessionId}
|
||||
isLoading={isLoading}
|
||||
hasNextPage={hasNextPage}
|
||||
isFetchingNextPage={isFetchingNextPage}
|
||||
onSelectSession={handleSessionClick}
|
||||
onFetchNextPage={fetchNextPage}
|
||||
onNewChat={handleNewChatClick}
|
||||
hasActiveSession={Boolean(hasActiveSession)}
|
||||
/>
|
||||
)}
|
||||
|
||||
<div className="relative flex min-h-0 flex-1 flex-col">
|
||||
{isMobile && <MobileHeader onOpenDrawer={handleOpenDrawer} />}
|
||||
<div className="flex min-h-0 flex-1 flex-col">
|
||||
{isCreatingSession ? (
|
||||
<div className="flex h-full flex-1 flex-col items-center justify-center bg-[#f8f8f9]">
|
||||
<div className="flex flex-col items-center gap-4">
|
||||
<ChatLoader />
|
||||
<Text variant="body" className="text-zinc-500">
|
||||
Creating your chat...
|
||||
</Text>
|
||||
</div>
|
||||
</div>
|
||||
) : (
|
||||
children
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{isMobile && (
|
||||
<MobileDrawer
|
||||
isOpen={isDrawerOpen}
|
||||
sessions={sessions}
|
||||
currentSessionId={currentSessionId}
|
||||
isLoading={isLoading}
|
||||
hasNextPage={hasNextPage}
|
||||
isFetchingNextPage={isFetchingNextPage}
|
||||
onSelectSession={handleSessionClick}
|
||||
onFetchNextPage={fetchNextPage}
|
||||
onNewChat={handleNewChatClick}
|
||||
onClose={handleCloseDrawer}
|
||||
onOpenChange={handleDrawerOpenChange}
|
||||
hasActiveSession={Boolean(hasActiveSession)}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,70 @@
|
||||
import type { SessionSummaryResponse } from "@/app/api/__generated__/models/sessionSummaryResponse";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import { scrollbarStyles } from "@/components/styles/scrollbars";
|
||||
import { cn } from "@/lib/utils";
|
||||
import { Plus } from "@phosphor-icons/react";
|
||||
import { SessionsList } from "../SessionsList/SessionsList";
|
||||
|
||||
interface Props {
|
||||
sessions: SessionSummaryResponse[];
|
||||
currentSessionId: string | null;
|
||||
isLoading: boolean;
|
||||
hasNextPage: boolean;
|
||||
isFetchingNextPage: boolean;
|
||||
onSelectSession: (sessionId: string) => void;
|
||||
onFetchNextPage: () => void;
|
||||
onNewChat: () => void;
|
||||
hasActiveSession: boolean;
|
||||
}
|
||||
|
||||
export function DesktopSidebar({
|
||||
sessions,
|
||||
currentSessionId,
|
||||
isLoading,
|
||||
hasNextPage,
|
||||
isFetchingNextPage,
|
||||
onSelectSession,
|
||||
onFetchNextPage,
|
||||
onNewChat,
|
||||
hasActiveSession,
|
||||
}: Props) {
|
||||
return (
|
||||
<aside className="flex h-full w-80 flex-col border-r border-zinc-100 bg-zinc-50">
|
||||
<div className="shrink-0 px-6 py-4">
|
||||
<Text variant="h3" size="body-medium">
|
||||
Your chats
|
||||
</Text>
|
||||
</div>
|
||||
<div
|
||||
className={cn(
|
||||
"flex min-h-0 flex-1 flex-col overflow-y-auto px-3 py-3",
|
||||
scrollbarStyles,
|
||||
)}
|
||||
>
|
||||
<SessionsList
|
||||
sessions={sessions}
|
||||
currentSessionId={currentSessionId}
|
||||
isLoading={isLoading}
|
||||
hasNextPage={hasNextPage}
|
||||
isFetchingNextPage={isFetchingNextPage}
|
||||
onSelectSession={onSelectSession}
|
||||
onFetchNextPage={onFetchNextPage}
|
||||
/>
|
||||
</div>
|
||||
{hasActiveSession && (
|
||||
<div className="shrink-0 bg-zinc-50 p-3 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
|
||||
<Button
|
||||
variant="primary"
|
||||
size="small"
|
||||
onClick={onNewChat}
|
||||
className="w-full"
|
||||
leftIcon={<Plus width="1rem" height="1rem" />}
|
||||
>
|
||||
New Chat
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
</aside>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,91 @@
|
||||
import type { SessionSummaryResponse } from "@/app/api/__generated__/models/sessionSummaryResponse";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import { scrollbarStyles } from "@/components/styles/scrollbars";
|
||||
import { cn } from "@/lib/utils";
|
||||
import { PlusIcon, X } from "@phosphor-icons/react";
|
||||
import { Drawer } from "vaul";
|
||||
import { SessionsList } from "../SessionsList/SessionsList";
|
||||
|
||||
interface Props {
|
||||
isOpen: boolean;
|
||||
sessions: SessionSummaryResponse[];
|
||||
currentSessionId: string | null;
|
||||
isLoading: boolean;
|
||||
hasNextPage: boolean;
|
||||
isFetchingNextPage: boolean;
|
||||
onSelectSession: (sessionId: string) => void;
|
||||
onFetchNextPage: () => void;
|
||||
onNewChat: () => void;
|
||||
onClose: () => void;
|
||||
onOpenChange: (open: boolean) => void;
|
||||
hasActiveSession: boolean;
|
||||
}
|
||||
|
||||
export function MobileDrawer({
|
||||
isOpen,
|
||||
sessions,
|
||||
currentSessionId,
|
||||
isLoading,
|
||||
hasNextPage,
|
||||
isFetchingNextPage,
|
||||
onSelectSession,
|
||||
onFetchNextPage,
|
||||
onNewChat,
|
||||
onClose,
|
||||
onOpenChange,
|
||||
hasActiveSession,
|
||||
}: Props) {
|
||||
return (
|
||||
<Drawer.Root open={isOpen} onOpenChange={onOpenChange} direction="left">
|
||||
<Drawer.Portal>
|
||||
<Drawer.Overlay className="fixed inset-0 z-[60] bg-black/10 backdrop-blur-sm" />
|
||||
<Drawer.Content className="fixed left-0 top-0 z-[70] flex h-full w-80 flex-col border-r border-zinc-200 bg-zinc-50">
|
||||
<div className="shrink-0 border-b border-zinc-200 p-4">
|
||||
<div className="flex items-center justify-between">
|
||||
<Drawer.Title className="text-lg font-semibold text-zinc-800">
|
||||
Your chats
|
||||
</Drawer.Title>
|
||||
<Button
|
||||
variant="icon"
|
||||
size="icon"
|
||||
aria-label="Close sessions"
|
||||
onClick={onClose}
|
||||
>
|
||||
<X width="1.25rem" height="1.25rem" />
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
<div
|
||||
className={cn(
|
||||
"flex min-h-0 flex-1 flex-col overflow-y-auto px-3 py-3",
|
||||
scrollbarStyles,
|
||||
)}
|
||||
>
|
||||
<SessionsList
|
||||
sessions={sessions}
|
||||
currentSessionId={currentSessionId}
|
||||
isLoading={isLoading}
|
||||
hasNextPage={hasNextPage}
|
||||
isFetchingNextPage={isFetchingNextPage}
|
||||
onSelectSession={onSelectSession}
|
||||
onFetchNextPage={onFetchNextPage}
|
||||
/>
|
||||
</div>
|
||||
{hasActiveSession && (
|
||||
<div className="shrink-0 bg-white p-3 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
|
||||
<Button
|
||||
variant="primary"
|
||||
size="small"
|
||||
onClick={onNewChat}
|
||||
className="w-full"
|
||||
leftIcon={<PlusIcon width="1rem" height="1rem" />}
|
||||
>
|
||||
New Chat
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
</Drawer.Content>
|
||||
</Drawer.Portal>
|
||||
</Drawer.Root>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,24 @@
|
||||
import { useState } from "react";
|
||||
|
||||
export function useMobileDrawer() {
|
||||
const [isDrawerOpen, setIsDrawerOpen] = useState(false);
|
||||
|
||||
const handleOpenDrawer = () => {
|
||||
setIsDrawerOpen(true);
|
||||
};
|
||||
|
||||
const handleCloseDrawer = () => {
|
||||
setIsDrawerOpen(false);
|
||||
};
|
||||
|
||||
const handleDrawerOpenChange = (open: boolean) => {
|
||||
setIsDrawerOpen(open);
|
||||
};
|
||||
|
||||
return {
|
||||
isDrawerOpen,
|
||||
handleOpenDrawer,
|
||||
handleCloseDrawer,
|
||||
handleDrawerOpenChange,
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,80 @@
|
||||
import type { SessionSummaryResponse } from "@/app/api/__generated__/models/sessionSummaryResponse";
|
||||
import { Skeleton } from "@/components/__legacy__/ui/skeleton";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import { InfiniteList } from "@/components/molecules/InfiniteList/InfiniteList";
|
||||
import { cn } from "@/lib/utils";
|
||||
import { getSessionTitle } from "../../helpers";
|
||||
|
||||
interface Props {
|
||||
sessions: SessionSummaryResponse[];
|
||||
currentSessionId: string | null;
|
||||
isLoading: boolean;
|
||||
hasNextPage: boolean;
|
||||
isFetchingNextPage: boolean;
|
||||
onSelectSession: (sessionId: string) => void;
|
||||
onFetchNextPage: () => void;
|
||||
}
|
||||
|
||||
export function SessionsList({
|
||||
sessions,
|
||||
currentSessionId,
|
||||
isLoading,
|
||||
hasNextPage,
|
||||
isFetchingNextPage,
|
||||
onSelectSession,
|
||||
onFetchNextPage,
|
||||
}: Props) {
|
||||
if (isLoading) {
|
||||
return (
|
||||
<div className="space-y-1">
|
||||
{Array.from({ length: 5 }).map((_, i) => (
|
||||
<div key={i} className="rounded-lg px-3 py-2.5">
|
||||
<Skeleton className="h-5 w-full" />
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
if (sessions.length === 0) {
|
||||
return (
|
||||
<div className="flex h-full items-center justify-center">
|
||||
<Text variant="body" className="text-zinc-500">
|
||||
You don't have previous chats
|
||||
</Text>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<InfiniteList
|
||||
items={sessions}
|
||||
hasMore={hasNextPage}
|
||||
isFetchingMore={isFetchingNextPage}
|
||||
onEndReached={onFetchNextPage}
|
||||
className="space-y-1"
|
||||
renderItem={(session) => {
|
||||
const isActive = session.id === currentSessionId;
|
||||
return (
|
||||
<button
|
||||
onClick={() => onSelectSession(session.id)}
|
||||
className={cn(
|
||||
"w-full rounded-lg px-3 py-2.5 text-left transition-colors",
|
||||
isActive ? "bg-zinc-100" : "hover:bg-zinc-50",
|
||||
)}
|
||||
>
|
||||
<Text
|
||||
variant="body"
|
||||
className={cn(
|
||||
"font-normal",
|
||||
isActive ? "text-zinc-600" : "text-zinc-800",
|
||||
)}
|
||||
>
|
||||
{getSessionTitle(session)}
|
||||
</Text>
|
||||
</button>
|
||||
);
|
||||
}}
|
||||
/>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,91 @@
|
||||
import { useGetV2ListSessions } from "@/app/api/__generated__/endpoints/chat/chat";
|
||||
import type { SessionSummaryResponse } from "@/app/api/__generated__/models/sessionSummaryResponse";
|
||||
import { okData } from "@/app/api/helpers";
|
||||
import { useEffect, useState } from "react";
|
||||
|
||||
const PAGE_SIZE = 50;
|
||||
|
||||
export interface UseSessionsPaginationArgs {
|
||||
enabled: boolean;
|
||||
}
|
||||
|
||||
export function useSessionsPagination({ enabled }: UseSessionsPaginationArgs) {
|
||||
const [offset, setOffset] = useState(0);
|
||||
|
||||
const [accumulatedSessions, setAccumulatedSessions] = useState<
|
||||
SessionSummaryResponse[]
|
||||
>([]);
|
||||
|
||||
const [totalCount, setTotalCount] = useState<number | null>(null);
|
||||
|
||||
const { data, isLoading, isFetching, isError } = useGetV2ListSessions(
|
||||
{ limit: PAGE_SIZE, offset },
|
||||
{
|
||||
query: {
|
||||
enabled: enabled && offset >= 0,
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
const responseData = okData(data);
|
||||
if (responseData) {
|
||||
const newSessions = responseData.sessions;
|
||||
const total = responseData.total;
|
||||
setTotalCount(total);
|
||||
|
||||
if (offset === 0) {
|
||||
setAccumulatedSessions(newSessions);
|
||||
} else {
|
||||
setAccumulatedSessions((prev) => [...prev, ...newSessions]);
|
||||
}
|
||||
} else if (!enabled) {
|
||||
setAccumulatedSessions([]);
|
||||
setTotalCount(null);
|
||||
}
|
||||
}, [data, offset, enabled]);
|
||||
|
||||
const hasNextPage =
|
||||
totalCount !== null && accumulatedSessions.length < totalCount;
|
||||
|
||||
const areAllSessionsLoaded =
|
||||
totalCount !== null &&
|
||||
accumulatedSessions.length >= totalCount &&
|
||||
!isFetching &&
|
||||
!isLoading;
|
||||
|
||||
useEffect(() => {
|
||||
if (
|
||||
hasNextPage &&
|
||||
!isFetching &&
|
||||
!isLoading &&
|
||||
!isError &&
|
||||
totalCount !== null
|
||||
) {
|
||||
setOffset((prev) => prev + PAGE_SIZE);
|
||||
}
|
||||
}, [hasNextPage, isFetching, isLoading, isError, totalCount]);
|
||||
|
||||
const fetchNextPage = () => {
|
||||
if (hasNextPage && !isFetching) {
|
||||
setOffset((prev) => prev + PAGE_SIZE);
|
||||
}
|
||||
};
|
||||
|
||||
const reset = () => {
|
||||
// Only reset the offset - keep existing sessions visible during refetch
|
||||
// The effect will replace sessions when new data arrives at offset 0
|
||||
setOffset(0);
|
||||
};
|
||||
|
||||
return {
|
||||
sessions: accumulatedSessions,
|
||||
isLoading,
|
||||
isFetching,
|
||||
hasNextPage,
|
||||
areAllSessionsLoaded,
|
||||
totalCount,
|
||||
fetchNextPage,
|
||||
reset,
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,106 @@
|
||||
import type { SessionDetailResponse } from "@/app/api/__generated__/models/sessionDetailResponse";
|
||||
import type { SessionSummaryResponse } from "@/app/api/__generated__/models/sessionSummaryResponse";
|
||||
import { format, formatDistanceToNow, isToday } from "date-fns";
|
||||
|
||||
export function convertSessionDetailToSummary(session: SessionDetailResponse) {
|
||||
return {
|
||||
id: session.id,
|
||||
created_at: session.created_at,
|
||||
updated_at: session.updated_at,
|
||||
title: undefined,
|
||||
};
|
||||
}
|
||||
|
||||
export function filterVisibleSessions(sessions: SessionSummaryResponse[]) {
|
||||
const fiveMinutesAgo = Date.now() - 5 * 60 * 1000;
|
||||
return sessions.filter((session) => {
|
||||
const hasBeenUpdated = session.updated_at !== session.created_at;
|
||||
|
||||
if (hasBeenUpdated) return true;
|
||||
|
||||
const isRecentlyCreated =
|
||||
new Date(session.created_at).getTime() > fiveMinutesAgo;
|
||||
|
||||
return isRecentlyCreated;
|
||||
});
|
||||
}
|
||||
|
||||
export function getSessionTitle(session: SessionSummaryResponse) {
|
||||
if (session.title) return session.title;
|
||||
|
||||
const isNewSession = session.updated_at === session.created_at;
|
||||
|
||||
if (isNewSession) {
|
||||
const createdDate = new Date(session.created_at);
|
||||
if (isToday(createdDate)) {
|
||||
return "Today";
|
||||
}
|
||||
return format(createdDate, "MMM d, yyyy");
|
||||
}
|
||||
|
||||
return "Untitled Chat";
|
||||
}
|
||||
|
||||
export function getSessionUpdatedLabel(session: SessionSummaryResponse) {
|
||||
if (!session.updated_at) return "";
|
||||
return formatDistanceToNow(new Date(session.updated_at), { addSuffix: true });
|
||||
}
|
||||
|
||||
export function mergeCurrentSessionIntoList(
|
||||
accumulatedSessions: SessionSummaryResponse[],
|
||||
currentSessionId: string | null,
|
||||
currentSessionData: SessionDetailResponse | null | undefined,
|
||||
recentlyCreatedSessions?: Map<string, SessionSummaryResponse>,
|
||||
) {
|
||||
const filteredSessions: SessionSummaryResponse[] = [];
|
||||
const addedIds = new Set<string>();
|
||||
|
||||
if (accumulatedSessions.length > 0) {
|
||||
const visibleSessions = filterVisibleSessions(accumulatedSessions);
|
||||
|
||||
if (currentSessionId) {
|
||||
const currentInAll = accumulatedSessions.find(
|
||||
(s) => s.id === currentSessionId,
|
||||
);
|
||||
if (currentInAll) {
|
||||
const isInVisible = visibleSessions.some(
|
||||
(s) => s.id === currentSessionId,
|
||||
);
|
||||
if (!isInVisible) {
|
||||
filteredSessions.push(currentInAll);
|
||||
addedIds.add(currentInAll.id);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (const session of visibleSessions) {
|
||||
if (!addedIds.has(session.id)) {
|
||||
filteredSessions.push(session);
|
||||
addedIds.add(session.id);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (currentSessionId && currentSessionData) {
|
||||
if (!addedIds.has(currentSessionId)) {
|
||||
const summarySession = convertSessionDetailToSummary(currentSessionData);
|
||||
filteredSessions.unshift(summarySession);
|
||||
addedIds.add(currentSessionId);
|
||||
}
|
||||
}
|
||||
|
||||
if (recentlyCreatedSessions) {
|
||||
for (const [sessionId, sessionData] of recentlyCreatedSessions) {
|
||||
if (!addedIds.has(sessionId)) {
|
||||
filteredSessions.unshift(sessionData);
|
||||
addedIds.add(sessionId);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return filteredSessions;
|
||||
}
|
||||
|
||||
export function getCurrentSessionId(searchParams: URLSearchParams) {
|
||||
return searchParams.get("sessionId");
|
||||
}
|
||||
@@ -0,0 +1,124 @@
|
||||
"use client";
|
||||
|
||||
import {
|
||||
getGetV2GetSessionQueryKey,
|
||||
getGetV2ListSessionsQueryKey,
|
||||
useGetV2GetSession,
|
||||
} from "@/app/api/__generated__/endpoints/chat/chat";
|
||||
import { okData } from "@/app/api/helpers";
|
||||
import { useChatStore } from "@/components/contextual/Chat/chat-store";
|
||||
import { useBreakpoint } from "@/lib/hooks/useBreakpoint";
|
||||
import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
|
||||
import { useQueryClient } from "@tanstack/react-query";
|
||||
import { usePathname, useSearchParams } from "next/navigation";
|
||||
import { useCopilotStore } from "../../copilot-page-store";
|
||||
import { useCopilotSessionId } from "../../useCopilotSessionId";
|
||||
import { useMobileDrawer } from "./components/MobileDrawer/useMobileDrawer";
|
||||
import { getCurrentSessionId } from "./helpers";
|
||||
import { useShellSessionList } from "./useShellSessionList";
|
||||
|
||||
export function useCopilotShell() {
|
||||
const pathname = usePathname();
|
||||
const searchParams = useSearchParams();
|
||||
const queryClient = useQueryClient();
|
||||
const breakpoint = useBreakpoint();
|
||||
const { isLoggedIn } = useSupabase();
|
||||
const isMobile =
|
||||
breakpoint === "base" || breakpoint === "sm" || breakpoint === "md";
|
||||
|
||||
const { urlSessionId, setUrlSessionId } = useCopilotSessionId();
|
||||
|
||||
const isOnHomepage = pathname === "/copilot";
|
||||
const paramSessionId = searchParams.get("sessionId");
|
||||
|
||||
const {
|
||||
isDrawerOpen,
|
||||
handleOpenDrawer,
|
||||
handleCloseDrawer,
|
||||
handleDrawerOpenChange,
|
||||
} = useMobileDrawer();
|
||||
|
||||
const paginationEnabled = !isMobile || isDrawerOpen || !!paramSessionId;
|
||||
|
||||
const currentSessionId = getCurrentSessionId(searchParams);
|
||||
|
||||
const { data: currentSessionData } = useGetV2GetSession(
|
||||
currentSessionId || "",
|
||||
{
|
||||
query: {
|
||||
enabled: !!currentSessionId,
|
||||
select: okData,
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
const {
|
||||
sessions,
|
||||
isLoading,
|
||||
isSessionsFetching,
|
||||
hasNextPage,
|
||||
fetchNextPage,
|
||||
resetPagination,
|
||||
recentlyCreatedSessionsRef,
|
||||
} = useShellSessionList({
|
||||
paginationEnabled,
|
||||
currentSessionId,
|
||||
currentSessionData,
|
||||
isOnHomepage,
|
||||
paramSessionId,
|
||||
});
|
||||
|
||||
const stopStream = useChatStore((s) => s.stopStream);
|
||||
const isCreatingSession = useCopilotStore((s) => s.isCreatingSession);
|
||||
|
||||
function handleSessionClick(sessionId: string) {
|
||||
if (sessionId === currentSessionId) return;
|
||||
|
||||
// Stop current stream - SSE reconnection allows resuming later
|
||||
if (currentSessionId) {
|
||||
stopStream(currentSessionId);
|
||||
}
|
||||
|
||||
if (recentlyCreatedSessionsRef.current.has(sessionId)) {
|
||||
queryClient.invalidateQueries({
|
||||
queryKey: getGetV2GetSessionQueryKey(sessionId),
|
||||
});
|
||||
}
|
||||
setUrlSessionId(sessionId, { shallow: false });
|
||||
if (isMobile) handleCloseDrawer();
|
||||
}
|
||||
|
||||
function handleNewChatClick() {
|
||||
// Stop current stream - SSE reconnection allows resuming later
|
||||
if (currentSessionId) {
|
||||
stopStream(currentSessionId);
|
||||
}
|
||||
|
||||
resetPagination();
|
||||
queryClient.invalidateQueries({
|
||||
queryKey: getGetV2ListSessionsQueryKey(),
|
||||
});
|
||||
setUrlSessionId(null, { shallow: false });
|
||||
if (isMobile) handleCloseDrawer();
|
||||
}
|
||||
|
||||
return {
|
||||
isMobile,
|
||||
isDrawerOpen,
|
||||
isLoggedIn,
|
||||
hasActiveSession:
|
||||
Boolean(currentSessionId) && (!isOnHomepage || Boolean(paramSessionId)),
|
||||
isLoading: isLoading || isCreatingSession,
|
||||
isCreatingSession,
|
||||
sessions,
|
||||
currentSessionId: urlSessionId,
|
||||
handleOpenDrawer,
|
||||
handleCloseDrawer,
|
||||
handleDrawerOpenChange,
|
||||
handleNewChatClick,
|
||||
handleSessionClick,
|
||||
hasNextPage,
|
||||
isFetchingNextPage: isSessionsFetching,
|
||||
fetchNextPage,
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,113 @@
|
||||
import { getGetV2ListSessionsQueryKey } from "@/app/api/__generated__/endpoints/chat/chat";
|
||||
import type { SessionDetailResponse } from "@/app/api/__generated__/models/sessionDetailResponse";
|
||||
import type { SessionSummaryResponse } from "@/app/api/__generated__/models/sessionSummaryResponse";
|
||||
import { useChatStore } from "@/components/contextual/Chat/chat-store";
|
||||
import { useQueryClient } from "@tanstack/react-query";
|
||||
import { useEffect, useMemo, useRef } from "react";
|
||||
import { useSessionsPagination } from "./components/SessionsList/useSessionsPagination";
|
||||
import {
|
||||
convertSessionDetailToSummary,
|
||||
filterVisibleSessions,
|
||||
mergeCurrentSessionIntoList,
|
||||
} from "./helpers";
|
||||
|
||||
interface UseShellSessionListArgs {
|
||||
paginationEnabled: boolean;
|
||||
currentSessionId: string | null;
|
||||
currentSessionData: SessionDetailResponse | null | undefined;
|
||||
isOnHomepage: boolean;
|
||||
paramSessionId: string | null;
|
||||
}
|
||||
|
||||
export function useShellSessionList({
|
||||
paginationEnabled,
|
||||
currentSessionId,
|
||||
currentSessionData,
|
||||
isOnHomepage,
|
||||
paramSessionId,
|
||||
}: UseShellSessionListArgs) {
|
||||
const queryClient = useQueryClient();
|
||||
const onStreamComplete = useChatStore((s) => s.onStreamComplete);
|
||||
|
||||
const {
|
||||
sessions: accumulatedSessions,
|
||||
isLoading: isSessionsLoading,
|
||||
isFetching: isSessionsFetching,
|
||||
hasNextPage,
|
||||
fetchNextPage,
|
||||
reset: resetPagination,
|
||||
} = useSessionsPagination({
|
||||
enabled: paginationEnabled,
|
||||
});
|
||||
|
||||
const recentlyCreatedSessionsRef = useRef<
|
||||
Map<string, SessionSummaryResponse>
|
||||
>(new Map());
|
||||
|
||||
useEffect(() => {
|
||||
if (isOnHomepage && !paramSessionId) {
|
||||
queryClient.invalidateQueries({
|
||||
queryKey: getGetV2ListSessionsQueryKey(),
|
||||
});
|
||||
}
|
||||
}, [isOnHomepage, paramSessionId, queryClient]);
|
||||
|
||||
useEffect(() => {
|
||||
if (currentSessionId && currentSessionData) {
|
||||
const isNewSession =
|
||||
currentSessionData.updated_at === currentSessionData.created_at;
|
||||
const isNotInAccumulated = !accumulatedSessions.some(
|
||||
(s) => s.id === currentSessionId,
|
||||
);
|
||||
if (isNewSession || isNotInAccumulated) {
|
||||
const summary = convertSessionDetailToSummary(currentSessionData);
|
||||
recentlyCreatedSessionsRef.current.set(currentSessionId, summary);
|
||||
}
|
||||
}
|
||||
}, [currentSessionId, currentSessionData, accumulatedSessions]);
|
||||
|
||||
useEffect(() => {
|
||||
for (const sessionId of recentlyCreatedSessionsRef.current.keys()) {
|
||||
if (accumulatedSessions.some((s) => s.id === sessionId)) {
|
||||
recentlyCreatedSessionsRef.current.delete(sessionId);
|
||||
}
|
||||
}
|
||||
}, [accumulatedSessions]);
|
||||
|
||||
useEffect(() => {
|
||||
const unsubscribe = onStreamComplete(() => {
|
||||
queryClient.invalidateQueries({
|
||||
queryKey: getGetV2ListSessionsQueryKey(),
|
||||
});
|
||||
});
|
||||
return unsubscribe;
|
||||
}, [onStreamComplete, queryClient]);
|
||||
|
||||
const sessions = useMemo(
|
||||
() =>
|
||||
mergeCurrentSessionIntoList(
|
||||
accumulatedSessions,
|
||||
currentSessionId,
|
||||
currentSessionData,
|
||||
recentlyCreatedSessionsRef.current,
|
||||
),
|
||||
[accumulatedSessions, currentSessionId, currentSessionData],
|
||||
);
|
||||
|
||||
const visibleSessions = useMemo(
|
||||
() => filterVisibleSessions(sessions),
|
||||
[sessions],
|
||||
);
|
||||
|
||||
const isLoading = isSessionsLoading && accumulatedSessions.length === 0;
|
||||
|
||||
return {
|
||||
sessions: visibleSessions,
|
||||
isLoading,
|
||||
isSessionsFetching,
|
||||
hasNextPage,
|
||||
fetchNextPage,
|
||||
resetPagination,
|
||||
recentlyCreatedSessionsRef,
|
||||
};
|
||||
}
|
||||
@@ -1,111 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { ChatInput } from "@/app/(platform)/copilot/components/ChatInput/ChatInput";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
|
||||
import { SpinnerGapIcon } from "@phosphor-icons/react";
|
||||
import { motion } from "framer-motion";
|
||||
import { useEffect, useState } from "react";
|
||||
import {
|
||||
getGreetingName,
|
||||
getInputPlaceholder,
|
||||
getQuickActions,
|
||||
} from "./helpers";
|
||||
|
||||
interface Props {
|
||||
inputLayoutId: string;
|
||||
isCreatingSession: boolean;
|
||||
onCreateSession: () => void | Promise<string>;
|
||||
onSend: (message: string) => void | Promise<void>;
|
||||
}
|
||||
|
||||
export function EmptySession({
|
||||
inputLayoutId,
|
||||
isCreatingSession,
|
||||
onSend,
|
||||
}: Props) {
|
||||
const { user } = useSupabase();
|
||||
const greetingName = getGreetingName(user);
|
||||
const quickActions = getQuickActions();
|
||||
const [loadingAction, setLoadingAction] = useState<string | null>(null);
|
||||
const [inputPlaceholder, setInputPlaceholder] = useState(
|
||||
getInputPlaceholder(),
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
setInputPlaceholder(getInputPlaceholder(window.innerWidth));
|
||||
}, [window.innerWidth]);
|
||||
|
||||
async function handleQuickActionClick(action: string) {
|
||||
if (isCreatingSession || loadingAction) return;
|
||||
|
||||
setLoadingAction(action);
|
||||
try {
|
||||
await onSend(action);
|
||||
} finally {
|
||||
setLoadingAction(null);
|
||||
}
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="flex h-full flex-1 items-center justify-center overflow-y-auto bg-[#f8f8f9] px-0 py-5 md:px-6 md:py-10">
|
||||
<motion.div
|
||||
className="w-full max-w-3xl text-center"
|
||||
initial={{ opacity: 0 }}
|
||||
animate={{ opacity: 1 }}
|
||||
transition={{ duration: 0.3 }}
|
||||
>
|
||||
<div className="mx-auto max-w-3xl">
|
||||
<Text variant="h3" className="mb-1 !text-[1.375rem] text-zinc-700">
|
||||
Hey, <span className="text-violet-600">{greetingName}</span>
|
||||
</Text>
|
||||
<Text variant="h3" className="mb-8 !font-normal">
|
||||
Tell me about your work — I'll find what to automate.
|
||||
</Text>
|
||||
|
||||
<div className="mb-6">
|
||||
<motion.div
|
||||
layoutId={inputLayoutId}
|
||||
transition={{ type: "spring", bounce: 0.2, duration: 0.65 }}
|
||||
className="w-full px-2"
|
||||
>
|
||||
<ChatInput
|
||||
inputId="chat-input-empty"
|
||||
onSend={onSend}
|
||||
disabled={isCreatingSession}
|
||||
placeholder={inputPlaceholder}
|
||||
className="w-full"
|
||||
/>
|
||||
</motion.div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="flex flex-wrap items-center justify-center gap-3 overflow-x-auto [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
|
||||
{quickActions.map((action) => (
|
||||
<Button
|
||||
key={action}
|
||||
type="button"
|
||||
variant="outline"
|
||||
size="small"
|
||||
onClick={() => void handleQuickActionClick(action)}
|
||||
disabled={isCreatingSession || loadingAction !== null}
|
||||
aria-busy={loadingAction === action}
|
||||
leftIcon={
|
||||
loadingAction === action ? (
|
||||
<SpinnerGapIcon
|
||||
className="h-4 w-4 animate-spin"
|
||||
weight="bold"
|
||||
/>
|
||||
) : null
|
||||
}
|
||||
className="h-auto shrink-0 border-zinc-300 px-3 py-2 text-[.9rem] text-zinc-600"
|
||||
>
|
||||
{action}
|
||||
</Button>
|
||||
))}
|
||||
</div>
|
||||
</motion.div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,140 +0,0 @@
|
||||
import type { SessionSummaryResponse } from "@/app/api/__generated__/models/sessionSummaryResponse";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import { scrollbarStyles } from "@/components/styles/scrollbars";
|
||||
import { cn } from "@/lib/utils";
|
||||
import { PlusIcon, SpinnerGapIcon, X } from "@phosphor-icons/react";
|
||||
import { Drawer } from "vaul";
|
||||
|
||||
interface Props {
|
||||
isOpen: boolean;
|
||||
sessions: SessionSummaryResponse[];
|
||||
currentSessionId: string | null;
|
||||
isLoading: boolean;
|
||||
onSelectSession: (sessionId: string) => void;
|
||||
onNewChat: () => void;
|
||||
onClose: () => void;
|
||||
onOpenChange: (open: boolean) => void;
|
||||
}
|
||||
|
||||
function formatDate(dateString: string) {
|
||||
const date = new Date(dateString);
|
||||
const now = new Date();
|
||||
const diffMs = now.getTime() - date.getTime();
|
||||
const diffDays = Math.floor(diffMs / (1000 * 60 * 60 * 24));
|
||||
|
||||
if (diffDays === 0) return "Today";
|
||||
if (diffDays === 1) return "Yesterday";
|
||||
if (diffDays < 7) return `${diffDays} days ago`;
|
||||
|
||||
const day = date.getDate();
|
||||
const ordinal =
|
||||
day % 10 === 1 && day !== 11
|
||||
? "st"
|
||||
: day % 10 === 2 && day !== 12
|
||||
? "nd"
|
||||
: day % 10 === 3 && day !== 13
|
||||
? "rd"
|
||||
: "th";
|
||||
const month = date.toLocaleDateString("en-US", { month: "short" });
|
||||
const year = date.getFullYear();
|
||||
|
||||
return `${day}${ordinal} ${month} ${year}`;
|
||||
}
|
||||
|
||||
export function MobileDrawer({
|
||||
isOpen,
|
||||
sessions,
|
||||
currentSessionId,
|
||||
isLoading,
|
||||
onSelectSession,
|
||||
onNewChat,
|
||||
onClose,
|
||||
onOpenChange,
|
||||
}: Props) {
|
||||
return (
|
||||
<Drawer.Root open={isOpen} onOpenChange={onOpenChange} direction="left">
|
||||
<Drawer.Portal>
|
||||
<Drawer.Overlay className="fixed inset-0 z-[60] bg-black/10 backdrop-blur-sm" />
|
||||
<Drawer.Content className="fixed left-0 top-0 z-[70] flex h-full w-80 flex-col border-r border-zinc-200 bg-zinc-50">
|
||||
<div className="shrink-0 border-b border-zinc-200 px-4 py-2">
|
||||
<div className="flex items-center justify-between">
|
||||
<Drawer.Title className="text-lg font-semibold text-zinc-800">
|
||||
Your chats
|
||||
</Drawer.Title>
|
||||
<Button
|
||||
variant="icon"
|
||||
size="icon"
|
||||
aria-label="Close sessions"
|
||||
onClick={onClose}
|
||||
>
|
||||
<X width="1rem" height="1rem" />
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
<div
|
||||
className={cn(
|
||||
"flex min-h-0 flex-1 flex-col gap-1 overflow-y-auto px-3 py-3",
|
||||
scrollbarStyles,
|
||||
)}
|
||||
>
|
||||
{isLoading ? (
|
||||
<div className="flex items-center justify-center py-4">
|
||||
<SpinnerGapIcon className="h-5 w-5 animate-spin text-neutral-400" />
|
||||
</div>
|
||||
) : sessions.length === 0 ? (
|
||||
<p className="py-4 text-center text-sm text-neutral-500">
|
||||
No conversations yet
|
||||
</p>
|
||||
) : (
|
||||
sessions.map((session) => (
|
||||
<button
|
||||
key={session.id}
|
||||
onClick={() => onSelectSession(session.id)}
|
||||
className={cn(
|
||||
"w-full rounded-lg px-3 py-2.5 text-left transition-colors",
|
||||
session.id === currentSessionId
|
||||
? "bg-zinc-100"
|
||||
: "hover:bg-zinc-50",
|
||||
)}
|
||||
>
|
||||
<div className="flex min-w-0 max-w-full flex-col overflow-hidden">
|
||||
<div className="min-w-0 max-w-full">
|
||||
<Text
|
||||
variant="body"
|
||||
className={cn(
|
||||
"truncate font-normal",
|
||||
session.id === currentSessionId
|
||||
? "text-zinc-600"
|
||||
: "text-zinc-800",
|
||||
)}
|
||||
>
|
||||
{session.title || "Untitled chat"}
|
||||
</Text>
|
||||
</div>
|
||||
<Text variant="small" className="text-neutral-400">
|
||||
{formatDate(session.updated_at)}
|
||||
</Text>
|
||||
</div>
|
||||
</button>
|
||||
))
|
||||
)}
|
||||
</div>
|
||||
{currentSessionId && (
|
||||
<div className="shrink-0 bg-white p-3 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
|
||||
<Button
|
||||
variant="primary"
|
||||
size="small"
|
||||
onClick={onNewChat}
|
||||
className="w-full"
|
||||
leftIcon={<PlusIcon width="1rem" height="1rem" />}
|
||||
>
|
||||
New Chat
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
</Drawer.Content>
|
||||
</Drawer.Portal>
|
||||
</Drawer.Root>
|
||||
);
|
||||
}
|
||||
@@ -1,54 +0,0 @@
|
||||
import { cn } from "@/lib/utils";
|
||||
import { AnimatePresence, motion } from "framer-motion";
|
||||
|
||||
interface Props {
|
||||
text: string;
|
||||
className?: string;
|
||||
}
|
||||
|
||||
export function MorphingTextAnimation({ text, className }: Props) {
|
||||
const letters = text.split("");
|
||||
|
||||
return (
|
||||
<div className={cn(className)}>
|
||||
<AnimatePresence mode="popLayout" initial={false}>
|
||||
<motion.div key={text} className="whitespace-nowrap">
|
||||
<motion.span className="inline-flex overflow-hidden">
|
||||
{letters.map((char, index) => (
|
||||
<motion.span
|
||||
key={`${text}-${index}`}
|
||||
initial={{
|
||||
opacity: 0,
|
||||
y: 8,
|
||||
rotateX: "80deg",
|
||||
filter: "blur(6px)",
|
||||
}}
|
||||
animate={{
|
||||
opacity: 1,
|
||||
y: 0,
|
||||
rotateX: "0deg",
|
||||
filter: "blur(0px)",
|
||||
}}
|
||||
exit={{
|
||||
opacity: 0,
|
||||
y: -8,
|
||||
rotateX: "-80deg",
|
||||
filter: "blur(6px)",
|
||||
}}
|
||||
style={{ willChange: "transform" }}
|
||||
transition={{
|
||||
delay: 0.015 * index,
|
||||
type: "spring",
|
||||
bounce: 0.5,
|
||||
}}
|
||||
className="inline-block"
|
||||
>
|
||||
{char === " " ? "\u00A0" : char}
|
||||
</motion.span>
|
||||
))}
|
||||
</motion.span>
|
||||
</motion.div>
|
||||
</AnimatePresence>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,69 +0,0 @@
|
||||
.loader {
|
||||
position: relative;
|
||||
animation: rotate 1s infinite;
|
||||
}
|
||||
|
||||
.loader::before,
|
||||
.loader::after {
|
||||
border-radius: 50%;
|
||||
content: "";
|
||||
display: block;
|
||||
/* 40% of container size */
|
||||
height: 40%;
|
||||
width: 40%;
|
||||
}
|
||||
|
||||
.loader::before {
|
||||
animation: ball1 1s infinite;
|
||||
background-color: #a1a1aa; /* zinc-400 */
|
||||
box-shadow: calc(var(--spacing)) 0 0 #18181b; /* zinc-900 */
|
||||
margin-bottom: calc(var(--gap));
|
||||
}
|
||||
|
||||
.loader::after {
|
||||
animation: ball2 1s infinite;
|
||||
background-color: #18181b; /* zinc-900 */
|
||||
box-shadow: calc(var(--spacing)) 0 0 #a1a1aa; /* zinc-400 */
|
||||
}
|
||||
|
||||
@keyframes rotate {
|
||||
0% {
|
||||
transform: rotate(0deg) scale(0.8);
|
||||
}
|
||||
50% {
|
||||
transform: rotate(360deg) scale(1.2);
|
||||
}
|
||||
100% {
|
||||
transform: rotate(720deg) scale(0.8);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes ball1 {
|
||||
0% {
|
||||
box-shadow: calc(var(--spacing)) 0 0 #18181b;
|
||||
}
|
||||
50% {
|
||||
box-shadow: 0 0 0 #18181b;
|
||||
margin-bottom: 0;
|
||||
transform: translate(calc(var(--spacing) / 2), calc(var(--spacing) / 2));
|
||||
}
|
||||
100% {
|
||||
box-shadow: calc(var(--spacing)) 0 0 #18181b;
|
||||
margin-bottom: calc(var(--gap));
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes ball2 {
|
||||
0% {
|
||||
box-shadow: calc(var(--spacing)) 0 0 #a1a1aa;
|
||||
}
|
||||
50% {
|
||||
box-shadow: 0 0 0 #a1a1aa;
|
||||
margin-top: calc(var(--ball-size) * -1);
|
||||
transform: translate(calc(var(--spacing) / 2), calc(var(--spacing) / 2));
|
||||
}
|
||||
100% {
|
||||
box-shadow: calc(var(--spacing)) 0 0 #a1a1aa;
|
||||
margin-top: 0;
|
||||
}
|
||||
}
|
||||
@@ -1,28 +0,0 @@
|
||||
import { cn } from "@/lib/utils";
|
||||
import styles from "./OrbitLoader.module.css";
|
||||
|
||||
interface Props {
|
||||
size?: number;
|
||||
className?: string;
|
||||
}
|
||||
|
||||
export function OrbitLoader({ size = 24, className }: Props) {
|
||||
const ballSize = Math.round(size * 0.4);
|
||||
const spacing = Math.round(size * 0.6);
|
||||
const gap = Math.round(size * 0.2);
|
||||
|
||||
return (
|
||||
<div
|
||||
className={cn(styles.loader, className)}
|
||||
style={
|
||||
{
|
||||
width: size,
|
||||
height: size,
|
||||
"--ball-size": `${ballSize}px`,
|
||||
"--spacing": `${spacing}px`,
|
||||
"--gap": `${gap}px`,
|
||||
} as React.CSSProperties
|
||||
}
|
||||
/>
|
||||
);
|
||||
}
|
||||
@@ -1,26 +0,0 @@
|
||||
import { cn } from "@/lib/utils";
|
||||
|
||||
interface Props {
|
||||
value: number;
|
||||
label?: string;
|
||||
className?: string;
|
||||
}
|
||||
|
||||
export function ProgressBar({ value, label, className }: Props) {
|
||||
const clamped = Math.min(100, Math.max(0, value));
|
||||
|
||||
return (
|
||||
<div className={cn("flex flex-col gap-1.5", className)}>
|
||||
<div className="flex items-center justify-between text-xs text-neutral-500">
|
||||
<span>{label ?? "Working on it..."}</span>
|
||||
<span>{Math.round(clamped)}%</span>
|
||||
</div>
|
||||
<div className="h-2 w-full overflow-hidden rounded-full bg-neutral-200">
|
||||
<div
|
||||
className="h-full rounded-full bg-neutral-900 transition-[width] duration-300 ease-out"
|
||||
style={{ width: `${clamped}%` }}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,34 +0,0 @@
|
||||
.loader {
|
||||
position: relative;
|
||||
display: inline-block;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.loader::before,
|
||||
.loader::after {
|
||||
content: "";
|
||||
box-sizing: border-box;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
border-radius: 50%;
|
||||
background: currentColor;
|
||||
position: absolute;
|
||||
left: 0;
|
||||
top: 0;
|
||||
animation: ripple 2s linear infinite;
|
||||
}
|
||||
|
||||
.loader::after {
|
||||
animation-delay: 1s;
|
||||
}
|
||||
|
||||
@keyframes ripple {
|
||||
0% {
|
||||
transform: scale(0);
|
||||
opacity: 1;
|
||||
}
|
||||
100% {
|
||||
transform: scale(1);
|
||||
opacity: 0;
|
||||
}
|
||||
}
|
||||
@@ -1,16 +0,0 @@
|
||||
import { cn } from "@/lib/utils";
|
||||
import styles from "./PulseLoader.module.css";
|
||||
|
||||
interface Props {
|
||||
size?: number;
|
||||
className?: string;
|
||||
}
|
||||
|
||||
export function PulseLoader({ size = 24, className }: Props) {
|
||||
return (
|
||||
<div
|
||||
className={cn(styles.loader, className)}
|
||||
style={{ width: size, height: size }}
|
||||
/>
|
||||
);
|
||||
}
|
||||
@@ -1,35 +0,0 @@
|
||||
.loader {
|
||||
width: 48px;
|
||||
height: 48px;
|
||||
display: inline-block;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.loader::after,
|
||||
.loader::before {
|
||||
content: "";
|
||||
box-sizing: border-box;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
border-radius: 50%;
|
||||
background: currentColor;
|
||||
position: absolute;
|
||||
left: 0;
|
||||
top: 0;
|
||||
animation: animloader 2s linear infinite;
|
||||
}
|
||||
|
||||
.loader::after {
|
||||
animation-delay: 1s;
|
||||
}
|
||||
|
||||
@keyframes animloader {
|
||||
0% {
|
||||
transform: scale(0);
|
||||
opacity: 1;
|
||||
}
|
||||
100% {
|
||||
transform: scale(1);
|
||||
opacity: 0;
|
||||
}
|
||||
}
|
||||
@@ -1,16 +0,0 @@
|
||||
import { cn } from "@/lib/utils";
|
||||
import styles from "./ScaleLoader.module.css";
|
||||
|
||||
interface Props {
|
||||
size?: number;
|
||||
className?: string;
|
||||
}
|
||||
|
||||
export function ScaleLoader({ size = 48, className }: Props) {
|
||||
return (
|
||||
<div
|
||||
className={cn(styles.loader, className)}
|
||||
style={{ width: size, height: size }}
|
||||
/>
|
||||
);
|
||||
}
|
||||
@@ -1,57 +0,0 @@
|
||||
.loader {
|
||||
position: relative;
|
||||
display: inline-block;
|
||||
flex-shrink: 0;
|
||||
transform: rotateZ(45deg);
|
||||
perspective: 1000px;
|
||||
border-radius: 50%;
|
||||
color: currentColor;
|
||||
}
|
||||
|
||||
.loader::before,
|
||||
.loader::after {
|
||||
content: "";
|
||||
display: block;
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: inherit;
|
||||
height: inherit;
|
||||
border-radius: 50%;
|
||||
transform: rotateX(70deg);
|
||||
animation: spin 1s linear infinite;
|
||||
}
|
||||
|
||||
.loader::after {
|
||||
color: var(--spinner-accent, #a855f7);
|
||||
transform: rotateY(70deg);
|
||||
animation-delay: 0.4s;
|
||||
}
|
||||
|
||||
@keyframes spin {
|
||||
0%,
|
||||
100% {
|
||||
box-shadow: 0.2em 0 0 0 currentColor;
|
||||
}
|
||||
12% {
|
||||
box-shadow: 0.2em 0.2em 0 0 currentColor;
|
||||
}
|
||||
25% {
|
||||
box-shadow: 0 0.2em 0 0 currentColor;
|
||||
}
|
||||
37% {
|
||||
box-shadow: -0.2em 0.2em 0 0 currentColor;
|
||||
}
|
||||
50% {
|
||||
box-shadow: -0.2em 0 0 0 currentColor;
|
||||
}
|
||||
62% {
|
||||
box-shadow: -0.2em -0.2em 0 0 currentColor;
|
||||
}
|
||||
75% {
|
||||
box-shadow: 0 -0.2em 0 0 currentColor;
|
||||
}
|
||||
87% {
|
||||
box-shadow: 0.2em -0.2em 0 0 currentColor;
|
||||
}
|
||||
}
|
||||
@@ -1,16 +0,0 @@
|
||||
import { cn } from "@/lib/utils";
|
||||
import styles from "./SpinnerLoader.module.css";
|
||||
|
||||
interface Props {
|
||||
size?: number;
|
||||
className?: string;
|
||||
}
|
||||
|
||||
export function SpinnerLoader({ size = 24, className }: Props) {
|
||||
return (
|
||||
<div
|
||||
className={cn(styles.loader, className)}
|
||||
style={{ width: size, height: size }}
|
||||
/>
|
||||
);
|
||||
}
|
||||
@@ -1,235 +0,0 @@
|
||||
import { Link } from "@/components/atoms/Link/Link";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import { cn } from "@/lib/utils";
|
||||
|
||||
/* ------------------------------------------------------------------ */
|
||||
/* Layout */
|
||||
/* ------------------------------------------------------------------ */
|
||||
|
||||
export function ContentGrid({
|
||||
children,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return <div className={cn("grid gap-2", className)}>{children}</div>;
|
||||
}
|
||||
|
||||
/* ------------------------------------------------------------------ */
|
||||
/* Card */
|
||||
/* ------------------------------------------------------------------ */
|
||||
|
||||
export function ContentCard({
|
||||
children,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<div
|
||||
className={cn(
|
||||
"rounded-lg bg-gradient-to-r from-purple-500/30 to-blue-500/30 p-[1px]",
|
||||
className,
|
||||
)}
|
||||
>
|
||||
<div className="rounded-lg bg-neutral-100 p-3">{children}</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
/** Flex row with a left content area (`children`) and an optional right‑side `action`. */
|
||||
export function ContentCardHeader({
|
||||
children,
|
||||
action,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
action?: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<div className={cn("flex items-start justify-between gap-2", className)}>
|
||||
<div className="min-w-0">{children}</div>
|
||||
{action}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export function ContentCardTitle({
|
||||
children,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<Text
|
||||
variant="body-medium"
|
||||
className={cn("truncate text-zinc-800", className)}
|
||||
>
|
||||
{children}
|
||||
</Text>
|
||||
);
|
||||
}
|
||||
|
||||
export function ContentCardSubtitle({
|
||||
children,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<Text
|
||||
variant="small"
|
||||
className={cn("mt-0.5 truncate font-mono text-zinc-800", className)}
|
||||
>
|
||||
{children}
|
||||
</Text>
|
||||
);
|
||||
}
|
||||
|
||||
export function ContentCardDescription({
|
||||
children,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<Text variant="body" className={cn("mt-2 text-zinc-800", className)}>
|
||||
{children}
|
||||
</Text>
|
||||
);
|
||||
}
|
||||
|
||||
/* ------------------------------------------------------------------ */
|
||||
/* Text */
|
||||
/* ------------------------------------------------------------------ */
|
||||
|
||||
export function ContentMessage({
|
||||
children,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<Text variant="body" className={cn("text-zinc-800", className)}>
|
||||
{children}
|
||||
</Text>
|
||||
);
|
||||
}
|
||||
|
||||
export function ContentHint({
|
||||
children,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<Text variant="small" className={cn("text-neutral-500", className)}>
|
||||
{children}
|
||||
</Text>
|
||||
);
|
||||
}
|
||||
|
||||
/* ------------------------------------------------------------------ */
|
||||
/* Code / data */
|
||||
/* ------------------------------------------------------------------ */
|
||||
|
||||
export function ContentCodeBlock({
|
||||
children,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<pre
|
||||
className={cn(
|
||||
"whitespace-pre-wrap rounded-lg border bg-black p-3 text-xs text-neutral-200",
|
||||
className,
|
||||
)}
|
||||
>
|
||||
{children}
|
||||
</pre>
|
||||
);
|
||||
}
|
||||
|
||||
/* ------------------------------------------------------------------ */
|
||||
/* Inline elements */
|
||||
/* ------------------------------------------------------------------ */
|
||||
|
||||
export function ContentBadge({
|
||||
children,
|
||||
className,
|
||||
}: {
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<Text
|
||||
variant="small"
|
||||
as="span"
|
||||
className={cn(
|
||||
"shrink-0 rounded-full border bg-muted px-2 py-0.5 text-[11px] text-zinc-800",
|
||||
className,
|
||||
)}
|
||||
>
|
||||
{children}
|
||||
</Text>
|
||||
);
|
||||
}
|
||||
|
||||
export function ContentLink({
|
||||
href,
|
||||
children,
|
||||
className,
|
||||
...rest
|
||||
}: Omit<React.ComponentProps<typeof Link>, "className"> & {
|
||||
className?: string;
|
||||
}) {
|
||||
return (
|
||||
<Link
|
||||
variant="primary"
|
||||
isExternal
|
||||
href={href}
|
||||
className={cn("shrink-0 text-xs text-purple-500", className)}
|
||||
{...rest}
|
||||
>
|
||||
{children}
|
||||
</Link>
|
||||
);
|
||||
}
|
||||
|
||||
/* ------------------------------------------------------------------ */
|
||||
/* Lists */
|
||||
/* ------------------------------------------------------------------ */
|
||||
|
||||
export function ContentSuggestionsList({
|
||||
items,
|
||||
max = 5,
|
||||
className,
|
||||
}: {
|
||||
items: string[];
|
||||
max?: number;
|
||||
className?: string;
|
||||
}) {
|
||||
if (items.length === 0) return null;
|
||||
return (
|
||||
<ul
|
||||
className={cn(
|
||||
"mt-2 list-disc space-y-1 pl-5 font-sans text-[0.75rem] leading-[1.125rem] text-zinc-800",
|
||||
className,
|
||||
)}
|
||||
>
|
||||
{items.slice(0, max).map((s) => (
|
||||
<li key={s}>{s}</li>
|
||||
))}
|
||||
</ul>
|
||||
);
|
||||
}
|
||||
@@ -1,102 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { cn } from "@/lib/utils";
|
||||
import { CaretDownIcon } from "@phosphor-icons/react";
|
||||
import { AnimatePresence, motion, useReducedMotion } from "framer-motion";
|
||||
import { useId } from "react";
|
||||
import { useToolAccordion } from "./useToolAccordion";
|
||||
|
||||
interface Props {
|
||||
icon: React.ReactNode;
|
||||
title: React.ReactNode;
|
||||
titleClassName?: string;
|
||||
description?: React.ReactNode;
|
||||
children: React.ReactNode;
|
||||
className?: string;
|
||||
defaultExpanded?: boolean;
|
||||
expanded?: boolean;
|
||||
onExpandedChange?: (expanded: boolean) => void;
|
||||
}
|
||||
|
||||
export function ToolAccordion({
|
||||
icon,
|
||||
title,
|
||||
titleClassName,
|
||||
description,
|
||||
children,
|
||||
className,
|
||||
defaultExpanded,
|
||||
expanded,
|
||||
onExpandedChange,
|
||||
}: Props) {
|
||||
const shouldReduceMotion = useReducedMotion();
|
||||
const contentId = useId();
|
||||
const { isExpanded, toggle } = useToolAccordion({
|
||||
expanded,
|
||||
defaultExpanded,
|
||||
onExpandedChange,
|
||||
});
|
||||
|
||||
return (
|
||||
<div
|
||||
className={cn(
|
||||
"mt-2 w-full rounded-lg border border-slate-200 bg-slate-100 px-3 py-2",
|
||||
className,
|
||||
)}
|
||||
>
|
||||
<button
|
||||
type="button"
|
||||
aria-expanded={isExpanded}
|
||||
aria-controls={contentId}
|
||||
onClick={toggle}
|
||||
className="flex w-full items-center justify-between gap-3 py-1 text-left"
|
||||
>
|
||||
<div className="flex min-w-0 items-center gap-3">
|
||||
<span className="flex shrink-0 items-center text-gray-800">
|
||||
{icon}
|
||||
</span>
|
||||
<div className="min-w-0">
|
||||
<p
|
||||
className={cn(
|
||||
"truncate text-sm font-medium text-gray-800",
|
||||
titleClassName,
|
||||
)}
|
||||
>
|
||||
{title}
|
||||
</p>
|
||||
{description && (
|
||||
<p className="truncate text-xs text-slate-800">{description}</p>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
<CaretDownIcon
|
||||
className={cn(
|
||||
"h-4 w-4 shrink-0 text-slate-500 transition-transform",
|
||||
isExpanded && "rotate-180",
|
||||
)}
|
||||
weight="bold"
|
||||
/>
|
||||
</button>
|
||||
|
||||
<AnimatePresence initial={false}>
|
||||
{isExpanded && (
|
||||
<motion.div
|
||||
id={contentId}
|
||||
initial={{ height: 0, opacity: 0, filter: "blur(10px)" }}
|
||||
animate={{ height: "auto", opacity: 1, filter: "blur(0px)" }}
|
||||
exit={{ height: 0, opacity: 0, filter: "blur(10px)" }}
|
||||
transition={
|
||||
shouldReduceMotion
|
||||
? { duration: 0 }
|
||||
: { type: "spring", bounce: 0.35, duration: 0.55 }
|
||||
}
|
||||
className="overflow-hidden"
|
||||
style={{ willChange: "height, opacity, filter" }}
|
||||
>
|
||||
<div className="pb-2 pt-3">{children}</div>
|
||||
</motion.div>
|
||||
)}
|
||||
</AnimatePresence>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,32 +0,0 @@
|
||||
import { useState } from "react";
|
||||
|
||||
interface UseToolAccordionOptions {
|
||||
expanded?: boolean;
|
||||
defaultExpanded?: boolean;
|
||||
onExpandedChange?: (expanded: boolean) => void;
|
||||
}
|
||||
|
||||
interface UseToolAccordionResult {
|
||||
isExpanded: boolean;
|
||||
toggle: () => void;
|
||||
}
|
||||
|
||||
export function useToolAccordion({
|
||||
expanded,
|
||||
defaultExpanded = false,
|
||||
onExpandedChange,
|
||||
}: UseToolAccordionOptions): UseToolAccordionResult {
|
||||
const [uncontrolledExpanded, setUncontrolledExpanded] =
|
||||
useState(defaultExpanded);
|
||||
|
||||
const isControlled = typeof expanded === "boolean";
|
||||
const isExpanded = isControlled ? expanded : uncontrolledExpanded;
|
||||
|
||||
function toggle() {
|
||||
const next = !isExpanded;
|
||||
if (!isControlled) setUncontrolledExpanded(next);
|
||||
onExpandedChange?.(next);
|
||||
}
|
||||
|
||||
return { isExpanded, toggle };
|
||||
}
|
||||
@@ -0,0 +1,56 @@
|
||||
"use client";
|
||||
|
||||
import { create } from "zustand";
|
||||
|
||||
interface CopilotStoreState {
|
||||
isStreaming: boolean;
|
||||
isSwitchingSession: boolean;
|
||||
isCreatingSession: boolean;
|
||||
isInterruptModalOpen: boolean;
|
||||
pendingAction: (() => void) | null;
|
||||
}
|
||||
|
||||
interface CopilotStoreActions {
|
||||
setIsStreaming: (isStreaming: boolean) => void;
|
||||
setIsSwitchingSession: (isSwitchingSession: boolean) => void;
|
||||
setIsCreatingSession: (isCreating: boolean) => void;
|
||||
openInterruptModal: (onConfirm: () => void) => void;
|
||||
confirmInterrupt: () => void;
|
||||
cancelInterrupt: () => void;
|
||||
}
|
||||
|
||||
type CopilotStore = CopilotStoreState & CopilotStoreActions;
|
||||
|
||||
export const useCopilotStore = create<CopilotStore>((set, get) => ({
|
||||
isStreaming: false,
|
||||
isSwitchingSession: false,
|
||||
isCreatingSession: false,
|
||||
isInterruptModalOpen: false,
|
||||
pendingAction: null,
|
||||
|
||||
setIsStreaming(isStreaming) {
|
||||
set({ isStreaming });
|
||||
},
|
||||
|
||||
setIsSwitchingSession(isSwitchingSession) {
|
||||
set({ isSwitchingSession });
|
||||
},
|
||||
|
||||
setIsCreatingSession(isCreatingSession) {
|
||||
set({ isCreatingSession });
|
||||
},
|
||||
|
||||
openInterruptModal(onConfirm) {
|
||||
set({ isInterruptModalOpen: true, pendingAction: onConfirm });
|
||||
},
|
||||
|
||||
confirmInterrupt() {
|
||||
const { pendingAction } = get();
|
||||
set({ isInterruptModalOpen: false, pendingAction: null });
|
||||
if (pendingAction) pendingAction();
|
||||
},
|
||||
|
||||
cancelInterrupt() {
|
||||
set({ isInterruptModalOpen: false, pendingAction: null });
|
||||
},
|
||||
}));
|
||||
@@ -1,26 +1,6 @@
|
||||
import { User } from "@supabase/supabase-js";
|
||||
import type { User } from "@supabase/supabase-js";
|
||||
|
||||
export function getInputPlaceholder(width?: number) {
|
||||
if (!width) return "What's your role and what eats up most of your day?";
|
||||
|
||||
if (width < 500) {
|
||||
return "I'm a chef and I hate...";
|
||||
}
|
||||
if (width <= 1080) {
|
||||
return "What's your role and what eats up most of your day?";
|
||||
}
|
||||
return "What's your role and what eats up most of your day? e.g. 'I'm a recruiter and I hate...'";
|
||||
}
|
||||
|
||||
export function getQuickActions() {
|
||||
return [
|
||||
"I don't know where to start, just ask me stuff",
|
||||
"I do the same thing every week and it's killing me",
|
||||
"Help me find where I'm wasting my time",
|
||||
];
|
||||
}
|
||||
|
||||
export function getGreetingName(user?: User | null) {
|
||||
export function getGreetingName(user?: User | null): string {
|
||||
if (!user) return "there";
|
||||
const metadata = user.user_metadata as Record<string, unknown> | undefined;
|
||||
const fullName = metadata?.full_name;
|
||||
@@ -36,3 +16,30 @@ export function getGreetingName(user?: User | null) {
|
||||
}
|
||||
return "there";
|
||||
}
|
||||
|
||||
export function buildCopilotChatUrl(prompt: string): string {
|
||||
const trimmed = prompt.trim();
|
||||
if (!trimmed) return "/copilot/chat";
|
||||
const encoded = encodeURIComponent(trimmed);
|
||||
return `/copilot/chat?prompt=${encoded}`;
|
||||
}
|
||||
|
||||
export function getQuickActions(): string[] {
|
||||
return [
|
||||
"I don't know where to start, just ask me stuff",
|
||||
"I do the same thing every week and it's killing me",
|
||||
"Help me find where I'm wasting my time",
|
||||
];
|
||||
}
|
||||
|
||||
export function getInputPlaceholder(width?: number) {
|
||||
if (!width) return "What's your role and what eats up most of your day?";
|
||||
|
||||
if (width < 500) {
|
||||
return "I'm a chef and I hate...";
|
||||
}
|
||||
if (width <= 1080) {
|
||||
return "What's your role and what eats up most of your day?";
|
||||
}
|
||||
return "What's your role and what eats up most of your day? e.g. 'I'm a recruiter and I hate...'";
|
||||
}
|
||||
@@ -1,128 +0,0 @@
|
||||
import type { UIMessage, UIDataTypes, UITools } from "ai";
|
||||
|
||||
interface SessionChatMessage {
|
||||
role: string;
|
||||
content: string | null;
|
||||
tool_call_id: string | null;
|
||||
tool_calls: unknown[] | null;
|
||||
}
|
||||
|
||||
function coerceSessionChatMessages(
|
||||
rawMessages: unknown[],
|
||||
): SessionChatMessage[] {
|
||||
return rawMessages
|
||||
.map((m) => {
|
||||
if (!m || typeof m !== "object") return null;
|
||||
const msg = m as Record<string, unknown>;
|
||||
|
||||
const role = typeof msg.role === "string" ? msg.role : null;
|
||||
if (!role) return null;
|
||||
|
||||
return {
|
||||
role,
|
||||
content:
|
||||
typeof msg.content === "string"
|
||||
? msg.content
|
||||
: msg.content == null
|
||||
? null
|
||||
: String(msg.content),
|
||||
tool_call_id:
|
||||
typeof msg.tool_call_id === "string"
|
||||
? msg.tool_call_id
|
||||
: msg.tool_call_id == null
|
||||
? null
|
||||
: String(msg.tool_call_id),
|
||||
tool_calls: Array.isArray(msg.tool_calls) ? msg.tool_calls : null,
|
||||
};
|
||||
})
|
||||
.filter((m): m is SessionChatMessage => m !== null);
|
||||
}
|
||||
|
||||
function safeJsonParse(value: string): unknown {
|
||||
try {
|
||||
return JSON.parse(value) as unknown;
|
||||
} catch {
|
||||
return value;
|
||||
}
|
||||
}
|
||||
|
||||
function toToolInput(rawArguments: unknown): unknown {
|
||||
if (typeof rawArguments === "string") {
|
||||
const trimmed = rawArguments.trim();
|
||||
return trimmed ? safeJsonParse(trimmed) : {};
|
||||
}
|
||||
if (rawArguments && typeof rawArguments === "object") return rawArguments;
|
||||
return {};
|
||||
}
|
||||
|
||||
export function convertChatSessionMessagesToUiMessages(
|
||||
sessionId: string,
|
||||
rawMessages: unknown[],
|
||||
): UIMessage<unknown, UIDataTypes, UITools>[] {
|
||||
const messages = coerceSessionChatMessages(rawMessages);
|
||||
const toolOutputsByCallId = new Map<string, unknown>();
|
||||
|
||||
for (const msg of messages) {
|
||||
if (msg.role !== "tool") continue;
|
||||
if (!msg.tool_call_id) continue;
|
||||
if (msg.content == null) continue;
|
||||
toolOutputsByCallId.set(msg.tool_call_id, msg.content);
|
||||
}
|
||||
|
||||
const uiMessages: UIMessage<unknown, UIDataTypes, UITools>[] = [];
|
||||
|
||||
messages.forEach((msg, index) => {
|
||||
if (msg.role === "tool") return;
|
||||
if (msg.role !== "user" && msg.role !== "assistant") return;
|
||||
|
||||
const parts: UIMessage<unknown, UIDataTypes, UITools>["parts"] = [];
|
||||
|
||||
if (typeof msg.content === "string" && msg.content.trim()) {
|
||||
parts.push({ type: "text", text: msg.content, state: "done" });
|
||||
}
|
||||
|
||||
if (msg.role === "assistant" && Array.isArray(msg.tool_calls)) {
|
||||
for (const rawToolCall of msg.tool_calls) {
|
||||
if (!rawToolCall || typeof rawToolCall !== "object") continue;
|
||||
const toolCall = rawToolCall as {
|
||||
id?: unknown;
|
||||
function?: { name?: unknown; arguments?: unknown };
|
||||
};
|
||||
|
||||
const toolCallId = String(toolCall.id ?? "").trim();
|
||||
const toolName = String(toolCall.function?.name ?? "").trim();
|
||||
if (!toolCallId || !toolName) continue;
|
||||
|
||||
const input = toToolInput(toolCall.function?.arguments);
|
||||
const output = toolOutputsByCallId.get(toolCallId);
|
||||
|
||||
if (output !== undefined) {
|
||||
parts.push({
|
||||
type: `tool-${toolName}`,
|
||||
toolCallId,
|
||||
state: "output-available",
|
||||
input,
|
||||
output: typeof output === "string" ? safeJsonParse(output) : output,
|
||||
});
|
||||
} else {
|
||||
parts.push({
|
||||
type: `tool-${toolName}`,
|
||||
toolCallId,
|
||||
state: "input-available",
|
||||
input,
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (parts.length === 0) return;
|
||||
|
||||
uiMessages.push({
|
||||
id: `${sessionId}-${index}`,
|
||||
role: msg.role,
|
||||
parts,
|
||||
});
|
||||
});
|
||||
|
||||
return uiMessages;
|
||||
}
|
||||
@@ -0,0 +1,13 @@
|
||||
"use client";
|
||||
import { FeatureFlagPage } from "@/services/feature-flags/FeatureFlagPage";
|
||||
import { Flag } from "@/services/feature-flags/use-get-flag";
|
||||
import { type ReactNode } from "react";
|
||||
import { CopilotShell } from "./components/CopilotShell/CopilotShell";
|
||||
|
||||
export default function CopilotLayout({ children }: { children: ReactNode }) {
|
||||
return (
|
||||
<FeatureFlagPage flag={Flag.CHAT} whenDisabled="/library">
|
||||
<CopilotShell>{children}</CopilotShell>
|
||||
</FeatureFlagPage>
|
||||
);
|
||||
}
|
||||
@@ -1,13 +1,149 @@
|
||||
"use client";
|
||||
|
||||
import { FeatureFlagPage } from "@/services/feature-flags/FeatureFlagPage";
|
||||
import { Flag } from "@/services/feature-flags/use-get-flag";
|
||||
import { CopilotPage } from "./CopilotPage";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import { Skeleton } from "@/components/atoms/Skeleton/Skeleton";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import { Chat } from "@/components/contextual/Chat/Chat";
|
||||
import { ChatInput } from "@/components/contextual/Chat/components/ChatInput/ChatInput";
|
||||
import { Dialog } from "@/components/molecules/Dialog/Dialog";
|
||||
import { useEffect, useState } from "react";
|
||||
import { useCopilotStore } from "./copilot-page-store";
|
||||
import { getInputPlaceholder } from "./helpers";
|
||||
import { useCopilotPage } from "./useCopilotPage";
|
||||
|
||||
export default function CopilotPage() {
|
||||
const { state, handlers } = useCopilotPage();
|
||||
const isInterruptModalOpen = useCopilotStore((s) => s.isInterruptModalOpen);
|
||||
const confirmInterrupt = useCopilotStore((s) => s.confirmInterrupt);
|
||||
const cancelInterrupt = useCopilotStore((s) => s.cancelInterrupt);
|
||||
|
||||
const [inputPlaceholder, setInputPlaceholder] = useState(
|
||||
getInputPlaceholder(),
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
const handleResize = () => {
|
||||
setInputPlaceholder(getInputPlaceholder(window.innerWidth));
|
||||
};
|
||||
|
||||
handleResize();
|
||||
|
||||
window.addEventListener("resize", handleResize);
|
||||
return () => window.removeEventListener("resize", handleResize);
|
||||
}, []);
|
||||
|
||||
const { greetingName, quickActions, isLoading, hasSession, initialPrompt } =
|
||||
state;
|
||||
|
||||
const {
|
||||
handleQuickAction,
|
||||
startChatWithPrompt,
|
||||
handleSessionNotFound,
|
||||
handleStreamingChange,
|
||||
} = handlers;
|
||||
|
||||
if (hasSession) {
|
||||
return (
|
||||
<div className="flex h-full flex-col">
|
||||
<Chat
|
||||
className="flex-1"
|
||||
initialPrompt={initialPrompt}
|
||||
onSessionNotFound={handleSessionNotFound}
|
||||
onStreamingChange={handleStreamingChange}
|
||||
/>
|
||||
<Dialog
|
||||
title="Interrupt current chat?"
|
||||
styling={{ maxWidth: 300, width: "100%" }}
|
||||
controlled={{
|
||||
isOpen: isInterruptModalOpen,
|
||||
set: (open) => {
|
||||
if (!open) cancelInterrupt();
|
||||
},
|
||||
}}
|
||||
onClose={cancelInterrupt}
|
||||
>
|
||||
<Dialog.Content>
|
||||
<div className="flex flex-col gap-4">
|
||||
<Text variant="body">
|
||||
The current chat response will be interrupted. Are you sure you
|
||||
want to continue?
|
||||
</Text>
|
||||
<Dialog.Footer>
|
||||
<Button
|
||||
type="button"
|
||||
variant="outline"
|
||||
onClick={cancelInterrupt}
|
||||
>
|
||||
Cancel
|
||||
</Button>
|
||||
<Button
|
||||
type="button"
|
||||
variant="primary"
|
||||
onClick={confirmInterrupt}
|
||||
>
|
||||
Continue
|
||||
</Button>
|
||||
</Dialog.Footer>
|
||||
</div>
|
||||
</Dialog.Content>
|
||||
</Dialog>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default function Page() {
|
||||
return (
|
||||
<FeatureFlagPage flag={Flag.CHAT} whenDisabled="/library">
|
||||
<CopilotPage />
|
||||
</FeatureFlagPage>
|
||||
<div className="flex h-full flex-1 items-center justify-center overflow-y-auto bg-[#f8f8f9] px-3 py-5 md:px-6 md:py-10">
|
||||
<div className="w-full text-center">
|
||||
{isLoading ? (
|
||||
<div className="mx-auto max-w-2xl">
|
||||
<Skeleton className="mx-auto mb-3 h-8 w-64" />
|
||||
<Skeleton className="mx-auto mb-8 h-6 w-80" />
|
||||
<div className="mb-8">
|
||||
<Skeleton className="mx-auto h-14 w-full rounded-lg" />
|
||||
</div>
|
||||
<div className="flex flex-wrap items-center justify-center gap-3">
|
||||
{Array.from({ length: 4 }).map((_, i) => (
|
||||
<Skeleton key={i} className="h-9 w-48 rounded-md" />
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
) : (
|
||||
<>
|
||||
<div className="mx-auto max-w-3xl">
|
||||
<Text
|
||||
variant="h3"
|
||||
className="mb-1 !text-[1.375rem] text-zinc-700"
|
||||
>
|
||||
Hey, <span className="text-violet-600">{greetingName}</span>
|
||||
</Text>
|
||||
<Text variant="h3" className="mb-8 !font-normal">
|
||||
Tell me about your work — I'll find what to automate.
|
||||
</Text>
|
||||
|
||||
<div className="mb-6">
|
||||
<ChatInput
|
||||
onSend={startChatWithPrompt}
|
||||
placeholder={inputPlaceholder}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
<div className="flex flex-wrap items-center justify-center gap-3 overflow-x-auto [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
|
||||
{quickActions.map((action) => (
|
||||
<Button
|
||||
key={action}
|
||||
type="button"
|
||||
variant="outline"
|
||||
size="small"
|
||||
onClick={() => handleQuickAction(action)}
|
||||
className="h-auto shrink-0 border-zinc-300 px-3 py-2 text-[.9rem] text-zinc-600"
|
||||
>
|
||||
{action}
|
||||
</Button>
|
||||
))}
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,235 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { WarningDiamondIcon } from "@phosphor-icons/react";
|
||||
import type { ToolUIPart } from "ai";
|
||||
import { useCopilotChatActions } from "../../components/CopilotChatActionsProvider/useCopilotChatActions";
|
||||
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
|
||||
import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
|
||||
import { ProgressBar } from "../../components/ProgressBar/ProgressBar";
|
||||
import {
|
||||
ContentCardDescription,
|
||||
ContentCodeBlock,
|
||||
ContentGrid,
|
||||
ContentHint,
|
||||
ContentLink,
|
||||
ContentMessage,
|
||||
} from "../../components/ToolAccordion/AccordionContent";
|
||||
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
|
||||
import { useAsymptoticProgress } from "../../hooks/useAsymptoticProgress";
|
||||
import {
|
||||
ClarificationQuestionsCard,
|
||||
ClarifyingQuestion,
|
||||
} from "./components/ClarificationQuestionsCard";
|
||||
import {
|
||||
AccordionIcon,
|
||||
formatMaybeJson,
|
||||
getAnimationText,
|
||||
getCreateAgentToolOutput,
|
||||
isAgentPreviewOutput,
|
||||
isAgentSavedOutput,
|
||||
isClarificationNeededOutput,
|
||||
isErrorOutput,
|
||||
isOperationInProgressOutput,
|
||||
isOperationPendingOutput,
|
||||
isOperationStartedOutput,
|
||||
ToolIcon,
|
||||
truncateText,
|
||||
type CreateAgentToolOutput,
|
||||
} from "./helpers";
|
||||
|
||||
export interface CreateAgentToolPart {
|
||||
type: string;
|
||||
toolCallId: string;
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}
|
||||
|
||||
interface Props {
|
||||
part: CreateAgentToolPart;
|
||||
}
|
||||
|
||||
function getAccordionMeta(output: CreateAgentToolOutput) {
|
||||
const icon = <AccordionIcon />;
|
||||
|
||||
if (isAgentSavedOutput(output)) {
|
||||
return { icon, title: output.agent_name };
|
||||
}
|
||||
if (isAgentPreviewOutput(output)) {
|
||||
return {
|
||||
icon,
|
||||
title: output.agent_name,
|
||||
description: `${output.node_count} block${output.node_count === 1 ? "" : "s"}`,
|
||||
};
|
||||
}
|
||||
if (isClarificationNeededOutput(output)) {
|
||||
const questions = output.questions ?? [];
|
||||
return {
|
||||
icon,
|
||||
title: "Needs clarification",
|
||||
description: `${questions.length} question${questions.length === 1 ? "" : "s"}`,
|
||||
expanded: true,
|
||||
};
|
||||
}
|
||||
if (
|
||||
isOperationStartedOutput(output) ||
|
||||
isOperationPendingOutput(output) ||
|
||||
isOperationInProgressOutput(output)
|
||||
) {
|
||||
return {
|
||||
icon: <OrbitLoader size={32} />,
|
||||
title: "Creating agent, this may take a few minutes. Sit back and relax.",
|
||||
};
|
||||
}
|
||||
return {
|
||||
icon: (
|
||||
<WarningDiamondIcon size={32} weight="light" className="text-red-500" />
|
||||
),
|
||||
title: "Error",
|
||||
titleClassName: "text-red-500",
|
||||
};
|
||||
}
|
||||
|
||||
export function CreateAgentTool({ part }: Props) {
|
||||
const text = getAnimationText(part);
|
||||
const { onSend } = useCopilotChatActions();
|
||||
|
||||
const isStreaming =
|
||||
part.state === "input-streaming" || part.state === "input-available";
|
||||
|
||||
const output = getCreateAgentToolOutput(part);
|
||||
|
||||
const isError =
|
||||
part.state === "output-error" || (!!output && isErrorOutput(output));
|
||||
|
||||
const isOperating =
|
||||
!!output &&
|
||||
(isOperationStartedOutput(output) ||
|
||||
isOperationPendingOutput(output) ||
|
||||
isOperationInProgressOutput(output));
|
||||
|
||||
const progress = useAsymptoticProgress(isOperating);
|
||||
|
||||
const hasExpandableContent =
|
||||
part.state === "output-available" &&
|
||||
!!output &&
|
||||
(isOperationStartedOutput(output) ||
|
||||
isOperationPendingOutput(output) ||
|
||||
isOperationInProgressOutput(output) ||
|
||||
isAgentPreviewOutput(output) ||
|
||||
isAgentSavedOutput(output) ||
|
||||
isClarificationNeededOutput(output) ||
|
||||
isErrorOutput(output));
|
||||
|
||||
function handleClarificationAnswers(answers: Record<string, string>) {
|
||||
const questions =
|
||||
output && isClarificationNeededOutput(output)
|
||||
? (output.questions ?? [])
|
||||
: [];
|
||||
|
||||
const contextMessage = questions
|
||||
.map((q) => {
|
||||
const answer = answers[q.keyword] || "";
|
||||
return `> ${q.question}\n\n${answer}`;
|
||||
})
|
||||
.join("\n\n");
|
||||
|
||||
onSend(
|
||||
`**Here are my answers:**\n\n${contextMessage}\n\nPlease proceed with creating the agent.`,
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="py-2">
|
||||
<div className="flex items-center gap-2 text-sm text-muted-foreground">
|
||||
<ToolIcon isStreaming={isStreaming} isError={isError} />
|
||||
<MorphingTextAnimation
|
||||
text={text}
|
||||
className={isError ? "text-red-500" : undefined}
|
||||
/>
|
||||
</div>
|
||||
|
||||
{hasExpandableContent && output && (
|
||||
<ToolAccordion {...getAccordionMeta(output)}>
|
||||
{isOperating && (
|
||||
<ContentGrid>
|
||||
<ProgressBar value={progress} className="max-w-[280px]" />
|
||||
<ContentHint>
|
||||
This could take a few minutes, grab a coffee ☕
|
||||
</ContentHint>
|
||||
</ContentGrid>
|
||||
)}
|
||||
|
||||
{isAgentSavedOutput(output) && (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
<div className="flex flex-wrap gap-2">
|
||||
<ContentLink href={output.library_agent_link}>
|
||||
Open in library
|
||||
</ContentLink>
|
||||
<ContentLink href={output.agent_page_link}>
|
||||
Open in builder
|
||||
</ContentLink>
|
||||
</div>
|
||||
<ContentCodeBlock>
|
||||
{truncateText(
|
||||
formatMaybeJson({ agent_id: output.agent_id }),
|
||||
800,
|
||||
)}
|
||||
</ContentCodeBlock>
|
||||
</ContentGrid>
|
||||
)}
|
||||
|
||||
{isAgentPreviewOutput(output) && (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
{output.description?.trim() && (
|
||||
<ContentCardDescription>
|
||||
{output.description}
|
||||
</ContentCardDescription>
|
||||
)}
|
||||
<ContentCodeBlock>
|
||||
{truncateText(formatMaybeJson(output.agent_json), 1600)}
|
||||
</ContentCodeBlock>
|
||||
</ContentGrid>
|
||||
)}
|
||||
|
||||
{isClarificationNeededOutput(output) && (
|
||||
<ClarificationQuestionsCard
|
||||
questions={(output.questions ?? []).map((q) => {
|
||||
const item: ClarifyingQuestion = {
|
||||
question: q.question,
|
||||
keyword: q.keyword,
|
||||
};
|
||||
const example =
|
||||
typeof q.example === "string" && q.example.trim()
|
||||
? q.example.trim()
|
||||
: null;
|
||||
if (example) item.example = example;
|
||||
return item;
|
||||
})}
|
||||
message={output.message}
|
||||
onSubmitAnswers={handleClarificationAnswers}
|
||||
/>
|
||||
)}
|
||||
|
||||
{isErrorOutput(output) && (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
{output.error && (
|
||||
<ContentCodeBlock>
|
||||
{formatMaybeJson(output.error)}
|
||||
</ContentCodeBlock>
|
||||
)}
|
||||
{output.details && (
|
||||
<ContentCodeBlock>
|
||||
{formatMaybeJson(output.details)}
|
||||
</ContentCodeBlock>
|
||||
)}
|
||||
</ContentGrid>
|
||||
)}
|
||||
</ToolAccordion>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,186 +0,0 @@
|
||||
import type { AgentPreviewResponse } from "@/app/api/__generated__/models/agentPreviewResponse";
|
||||
import type { AgentSavedResponse } from "@/app/api/__generated__/models/agentSavedResponse";
|
||||
import type { ClarificationNeededResponse } from "@/app/api/__generated__/models/clarificationNeededResponse";
|
||||
import type { ErrorResponse } from "@/app/api/__generated__/models/errorResponse";
|
||||
import type { OperationInProgressResponse } from "@/app/api/__generated__/models/operationInProgressResponse";
|
||||
import type { OperationPendingResponse } from "@/app/api/__generated__/models/operationPendingResponse";
|
||||
import type { OperationStartedResponse } from "@/app/api/__generated__/models/operationStartedResponse";
|
||||
import { ResponseType } from "@/app/api/__generated__/models/responseType";
|
||||
import {
|
||||
PlusCircleIcon,
|
||||
PlusIcon,
|
||||
WarningDiamondIcon,
|
||||
} from "@phosphor-icons/react";
|
||||
import type { ToolUIPart } from "ai";
|
||||
import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
|
||||
|
||||
export type CreateAgentToolOutput =
|
||||
| OperationStartedResponse
|
||||
| OperationPendingResponse
|
||||
| OperationInProgressResponse
|
||||
| AgentPreviewResponse
|
||||
| AgentSavedResponse
|
||||
| ClarificationNeededResponse
|
||||
| ErrorResponse;
|
||||
|
||||
function parseOutput(output: unknown): CreateAgentToolOutput | null {
|
||||
if (!output) return null;
|
||||
if (typeof output === "string") {
|
||||
const trimmed = output.trim();
|
||||
if (!trimmed) return null;
|
||||
try {
|
||||
return parseOutput(JSON.parse(trimmed) as unknown);
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (typeof output === "object") {
|
||||
const type = (output as { type?: unknown }).type;
|
||||
if (
|
||||
type === ResponseType.operation_started ||
|
||||
type === ResponseType.operation_pending ||
|
||||
type === ResponseType.operation_in_progress ||
|
||||
type === ResponseType.agent_preview ||
|
||||
type === ResponseType.agent_saved ||
|
||||
type === ResponseType.clarification_needed ||
|
||||
type === ResponseType.error
|
||||
) {
|
||||
return output as CreateAgentToolOutput;
|
||||
}
|
||||
if ("operation_id" in output && "tool_name" in output)
|
||||
return output as OperationStartedResponse | OperationPendingResponse;
|
||||
if ("tool_call_id" in output) return output as OperationInProgressResponse;
|
||||
if ("agent_json" in output && "agent_name" in output)
|
||||
return output as AgentPreviewResponse;
|
||||
if ("agent_id" in output && "library_agent_id" in output)
|
||||
return output as AgentSavedResponse;
|
||||
if ("questions" in output) return output as ClarificationNeededResponse;
|
||||
if ("error" in output || "details" in output)
|
||||
return output as ErrorResponse;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function getCreateAgentToolOutput(
|
||||
part: unknown,
|
||||
): CreateAgentToolOutput | null {
|
||||
if (!part || typeof part !== "object") return null;
|
||||
return parseOutput((part as { output?: unknown }).output);
|
||||
}
|
||||
|
||||
export function isOperationStartedOutput(
|
||||
output: CreateAgentToolOutput,
|
||||
): output is OperationStartedResponse {
|
||||
return (
|
||||
output.type === ResponseType.operation_started ||
|
||||
("operation_id" in output && "tool_name" in output)
|
||||
);
|
||||
}
|
||||
|
||||
export function isOperationPendingOutput(
|
||||
output: CreateAgentToolOutput,
|
||||
): output is OperationPendingResponse {
|
||||
return output.type === ResponseType.operation_pending;
|
||||
}
|
||||
|
||||
export function isOperationInProgressOutput(
|
||||
output: CreateAgentToolOutput,
|
||||
): output is OperationInProgressResponse {
|
||||
return (
|
||||
output.type === ResponseType.operation_in_progress ||
|
||||
"tool_call_id" in output
|
||||
);
|
||||
}
|
||||
|
||||
export function isAgentPreviewOutput(
|
||||
output: CreateAgentToolOutput,
|
||||
): output is AgentPreviewResponse {
|
||||
return output.type === ResponseType.agent_preview || "agent_json" in output;
|
||||
}
|
||||
|
||||
export function isAgentSavedOutput(
|
||||
output: CreateAgentToolOutput,
|
||||
): output is AgentSavedResponse {
|
||||
return (
|
||||
output.type === ResponseType.agent_saved || "agent_page_link" in output
|
||||
);
|
||||
}
|
||||
|
||||
export function isClarificationNeededOutput(
|
||||
output: CreateAgentToolOutput,
|
||||
): output is ClarificationNeededResponse {
|
||||
return (
|
||||
output.type === ResponseType.clarification_needed || "questions" in output
|
||||
);
|
||||
}
|
||||
|
||||
export function isErrorOutput(
|
||||
output: CreateAgentToolOutput,
|
||||
): output is ErrorResponse {
|
||||
return output.type === ResponseType.error || "error" in output;
|
||||
}
|
||||
|
||||
export function getAnimationText(part: {
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}): string {
|
||||
switch (part.state) {
|
||||
case "input-streaming":
|
||||
case "input-available":
|
||||
return "Creating a new agent";
|
||||
case "output-available": {
|
||||
const output = parseOutput(part.output);
|
||||
if (!output) return "Creating a new agent";
|
||||
if (isOperationStartedOutput(output)) return "Agent creation started";
|
||||
if (isOperationPendingOutput(output)) return "Agent creation in progress";
|
||||
if (isOperationInProgressOutput(output))
|
||||
return "Agent creation already in progress";
|
||||
if (isAgentSavedOutput(output)) return `Saved "${output.agent_name}"`;
|
||||
if (isAgentPreviewOutput(output)) return `Preview "${output.agent_name}"`;
|
||||
if (isClarificationNeededOutput(output)) return "Needs clarification";
|
||||
return "Error creating agent";
|
||||
}
|
||||
case "output-error":
|
||||
return "Error creating agent";
|
||||
default:
|
||||
return "Creating a new agent";
|
||||
}
|
||||
}
|
||||
|
||||
export function ToolIcon({
|
||||
isStreaming,
|
||||
isError,
|
||||
}: {
|
||||
isStreaming?: boolean;
|
||||
isError?: boolean;
|
||||
}) {
|
||||
if (isError) {
|
||||
return (
|
||||
<WarningDiamondIcon size={14} weight="regular" className="text-red-500" />
|
||||
);
|
||||
}
|
||||
if (isStreaming) {
|
||||
return <OrbitLoader size={24} />;
|
||||
}
|
||||
return <PlusIcon size={14} weight="regular" className="text-neutral-400" />;
|
||||
}
|
||||
|
||||
export function AccordionIcon() {
|
||||
return <PlusCircleIcon size={32} weight="light" />;
|
||||
}
|
||||
|
||||
export function formatMaybeJson(value: unknown): string {
|
||||
if (typeof value === "string") return value;
|
||||
try {
|
||||
return JSON.stringify(value, null, 2);
|
||||
} catch {
|
||||
return String(value);
|
||||
}
|
||||
}
|
||||
|
||||
export function truncateText(text: string, maxChars: number): string {
|
||||
const trimmed = text.trim();
|
||||
if (trimmed.length <= maxChars) return trimmed;
|
||||
return `${trimmed.slice(0, maxChars).trimEnd()}…`;
|
||||
}
|
||||
@@ -1,231 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { WarningDiamondIcon } from "@phosphor-icons/react";
|
||||
import type { ToolUIPart } from "ai";
|
||||
import { useCopilotChatActions } from "../../components/CopilotChatActionsProvider/useCopilotChatActions";
|
||||
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
|
||||
import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
|
||||
import { ProgressBar } from "../../components/ProgressBar/ProgressBar";
|
||||
import {
|
||||
ContentCardDescription,
|
||||
ContentCodeBlock,
|
||||
ContentGrid,
|
||||
ContentHint,
|
||||
ContentLink,
|
||||
ContentMessage,
|
||||
} from "../../components/ToolAccordion/AccordionContent";
|
||||
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
|
||||
import { useAsymptoticProgress } from "../../hooks/useAsymptoticProgress";
|
||||
import {
|
||||
ClarificationQuestionsCard,
|
||||
ClarifyingQuestion,
|
||||
} from "../CreateAgent/components/ClarificationQuestionsCard";
|
||||
import {
|
||||
AccordionIcon,
|
||||
formatMaybeJson,
|
||||
getAnimationText,
|
||||
getEditAgentToolOutput,
|
||||
isAgentPreviewOutput,
|
||||
isAgentSavedOutput,
|
||||
isClarificationNeededOutput,
|
||||
isErrorOutput,
|
||||
isOperationInProgressOutput,
|
||||
isOperationPendingOutput,
|
||||
isOperationStartedOutput,
|
||||
ToolIcon,
|
||||
truncateText,
|
||||
type EditAgentToolOutput,
|
||||
} from "./helpers";
|
||||
|
||||
export interface EditAgentToolPart {
|
||||
type: string;
|
||||
toolCallId: string;
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}
|
||||
|
||||
interface Props {
|
||||
part: EditAgentToolPart;
|
||||
}
|
||||
|
||||
function getAccordionMeta(output: EditAgentToolOutput): {
|
||||
icon: React.ReactNode;
|
||||
title: string;
|
||||
titleClassName?: string;
|
||||
description?: string;
|
||||
} {
|
||||
const icon = <AccordionIcon />;
|
||||
|
||||
if (isAgentSavedOutput(output)) {
|
||||
return { icon, title: output.agent_name };
|
||||
}
|
||||
if (isAgentPreviewOutput(output)) {
|
||||
return {
|
||||
icon,
|
||||
title: output.agent_name,
|
||||
description: `${output.node_count} block${output.node_count === 1 ? "" : "s"}`,
|
||||
};
|
||||
}
|
||||
if (isClarificationNeededOutput(output)) {
|
||||
const questions = output.questions ?? [];
|
||||
return {
|
||||
icon,
|
||||
title: "Needs clarification",
|
||||
description: `${questions.length} question${questions.length === 1 ? "" : "s"}`,
|
||||
};
|
||||
}
|
||||
if (
|
||||
isOperationStartedOutput(output) ||
|
||||
isOperationPendingOutput(output) ||
|
||||
isOperationInProgressOutput(output)
|
||||
) {
|
||||
return { icon: <OrbitLoader size={32} />, title: "Editing agent" };
|
||||
}
|
||||
return {
|
||||
icon: (
|
||||
<WarningDiamondIcon size={32} weight="light" className="text-red-500" />
|
||||
),
|
||||
title: "Error",
|
||||
titleClassName: "text-red-500",
|
||||
};
|
||||
}
|
||||
|
||||
export function EditAgentTool({ part }: Props) {
|
||||
const text = getAnimationText(part);
|
||||
const { onSend } = useCopilotChatActions();
|
||||
const isStreaming =
|
||||
part.state === "input-streaming" || part.state === "input-available";
|
||||
|
||||
const output = getEditAgentToolOutput(part);
|
||||
const isError =
|
||||
part.state === "output-error" || (!!output && isErrorOutput(output));
|
||||
const isOperating =
|
||||
!!output &&
|
||||
(isOperationStartedOutput(output) ||
|
||||
isOperationPendingOutput(output) ||
|
||||
isOperationInProgressOutput(output));
|
||||
const progress = useAsymptoticProgress(isOperating);
|
||||
const hasExpandableContent =
|
||||
part.state === "output-available" &&
|
||||
!!output &&
|
||||
(isOperationStartedOutput(output) ||
|
||||
isOperationPendingOutput(output) ||
|
||||
isOperationInProgressOutput(output) ||
|
||||
isAgentPreviewOutput(output) ||
|
||||
isAgentSavedOutput(output) ||
|
||||
isClarificationNeededOutput(output) ||
|
||||
isErrorOutput(output));
|
||||
|
||||
function handleClarificationAnswers(answers: Record<string, string>) {
|
||||
const questions =
|
||||
output && isClarificationNeededOutput(output)
|
||||
? (output.questions ?? [])
|
||||
: [];
|
||||
|
||||
const contextMessage = questions
|
||||
.map((q) => {
|
||||
const answer = answers[q.keyword] || "";
|
||||
return `> ${q.question}\n\n${answer}`;
|
||||
})
|
||||
.join("\n\n");
|
||||
|
||||
onSend(
|
||||
`**Here are my answers:**\n\n${contextMessage}\n\nPlease proceed with editing the agent.`,
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="py-2">
|
||||
<div className="flex items-center gap-2 text-sm text-muted-foreground">
|
||||
<ToolIcon isStreaming={isStreaming} isError={isError} />
|
||||
<MorphingTextAnimation
|
||||
text={text}
|
||||
className={isError ? "text-red-500" : undefined}
|
||||
/>
|
||||
</div>
|
||||
|
||||
{hasExpandableContent && output && (
|
||||
<ToolAccordion {...getAccordionMeta(output)}>
|
||||
{isOperating && (
|
||||
<ContentGrid>
|
||||
<ProgressBar value={progress} className="max-w-[280px]" />
|
||||
<ContentHint>
|
||||
This could take a few minutes, grab a coffee ☕
|
||||
</ContentHint>
|
||||
</ContentGrid>
|
||||
)}
|
||||
|
||||
{isAgentSavedOutput(output) && (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
<div className="flex flex-wrap gap-2">
|
||||
<ContentLink href={output.library_agent_link}>
|
||||
Open in library
|
||||
</ContentLink>
|
||||
<ContentLink href={output.agent_page_link}>
|
||||
Open in builder
|
||||
</ContentLink>
|
||||
</div>
|
||||
<ContentCodeBlock>
|
||||
{truncateText(
|
||||
formatMaybeJson({ agent_id: output.agent_id }),
|
||||
800,
|
||||
)}
|
||||
</ContentCodeBlock>
|
||||
</ContentGrid>
|
||||
)}
|
||||
|
||||
{isAgentPreviewOutput(output) && (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
{output.description?.trim() && (
|
||||
<ContentCardDescription>
|
||||
{output.description}
|
||||
</ContentCardDescription>
|
||||
)}
|
||||
<ContentCodeBlock>
|
||||
{truncateText(formatMaybeJson(output.agent_json), 1600)}
|
||||
</ContentCodeBlock>
|
||||
</ContentGrid>
|
||||
)}
|
||||
|
||||
{isClarificationNeededOutput(output) && (
|
||||
<ClarificationQuestionsCard
|
||||
questions={(output.questions ?? []).map((q) => {
|
||||
const item: ClarifyingQuestion = {
|
||||
question: q.question,
|
||||
keyword: q.keyword,
|
||||
};
|
||||
const example =
|
||||
typeof q.example === "string" && q.example.trim()
|
||||
? q.example.trim()
|
||||
: null;
|
||||
if (example) item.example = example;
|
||||
return item;
|
||||
})}
|
||||
message={output.message}
|
||||
onSubmitAnswers={handleClarificationAnswers}
|
||||
/>
|
||||
)}
|
||||
|
||||
{isErrorOutput(output) && (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
{output.error && (
|
||||
<ContentCodeBlock>
|
||||
{formatMaybeJson(output.error)}
|
||||
</ContentCodeBlock>
|
||||
)}
|
||||
{output.details && (
|
||||
<ContentCodeBlock>
|
||||
{formatMaybeJson(output.details)}
|
||||
</ContentCodeBlock>
|
||||
)}
|
||||
</ContentGrid>
|
||||
)}
|
||||
</ToolAccordion>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,188 +0,0 @@
|
||||
import type { AgentPreviewResponse } from "@/app/api/__generated__/models/agentPreviewResponse";
|
||||
import type { AgentSavedResponse } from "@/app/api/__generated__/models/agentSavedResponse";
|
||||
import type { ClarificationNeededResponse } from "@/app/api/__generated__/models/clarificationNeededResponse";
|
||||
import type { ErrorResponse } from "@/app/api/__generated__/models/errorResponse";
|
||||
import type { OperationInProgressResponse } from "@/app/api/__generated__/models/operationInProgressResponse";
|
||||
import type { OperationPendingResponse } from "@/app/api/__generated__/models/operationPendingResponse";
|
||||
import type { OperationStartedResponse } from "@/app/api/__generated__/models/operationStartedResponse";
|
||||
import { ResponseType } from "@/app/api/__generated__/models/responseType";
|
||||
import {
|
||||
NotePencilIcon,
|
||||
PencilLineIcon,
|
||||
WarningDiamondIcon,
|
||||
} from "@phosphor-icons/react";
|
||||
import type { ToolUIPart } from "ai";
|
||||
import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
|
||||
|
||||
export type EditAgentToolOutput =
|
||||
| OperationStartedResponse
|
||||
| OperationPendingResponse
|
||||
| OperationInProgressResponse
|
||||
| AgentPreviewResponse
|
||||
| AgentSavedResponse
|
||||
| ClarificationNeededResponse
|
||||
| ErrorResponse;
|
||||
|
||||
function parseOutput(output: unknown): EditAgentToolOutput | null {
|
||||
if (!output) return null;
|
||||
if (typeof output === "string") {
|
||||
const trimmed = output.trim();
|
||||
if (!trimmed) return null;
|
||||
try {
|
||||
return parseOutput(JSON.parse(trimmed) as unknown);
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (typeof output === "object") {
|
||||
const type = (output as { type?: unknown }).type;
|
||||
if (
|
||||
type === ResponseType.operation_started ||
|
||||
type === ResponseType.operation_pending ||
|
||||
type === ResponseType.operation_in_progress ||
|
||||
type === ResponseType.agent_preview ||
|
||||
type === ResponseType.agent_saved ||
|
||||
type === ResponseType.clarification_needed ||
|
||||
type === ResponseType.error
|
||||
) {
|
||||
return output as EditAgentToolOutput;
|
||||
}
|
||||
if ("operation_id" in output && "tool_name" in output)
|
||||
return output as OperationStartedResponse | OperationPendingResponse;
|
||||
if ("tool_call_id" in output) return output as OperationInProgressResponse;
|
||||
if ("agent_json" in output && "agent_name" in output)
|
||||
return output as AgentPreviewResponse;
|
||||
if ("agent_id" in output && "library_agent_id" in output)
|
||||
return output as AgentSavedResponse;
|
||||
if ("questions" in output) return output as ClarificationNeededResponse;
|
||||
if ("error" in output || "details" in output)
|
||||
return output as ErrorResponse;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function getEditAgentToolOutput(
|
||||
part: unknown,
|
||||
): EditAgentToolOutput | null {
|
||||
if (!part || typeof part !== "object") return null;
|
||||
return parseOutput((part as { output?: unknown }).output);
|
||||
}
|
||||
|
||||
export function isOperationStartedOutput(
|
||||
output: EditAgentToolOutput,
|
||||
): output is OperationStartedResponse {
|
||||
return (
|
||||
output.type === ResponseType.operation_started ||
|
||||
("operation_id" in output && "tool_name" in output)
|
||||
);
|
||||
}
|
||||
|
||||
export function isOperationPendingOutput(
|
||||
output: EditAgentToolOutput,
|
||||
): output is OperationPendingResponse {
|
||||
return output.type === ResponseType.operation_pending;
|
||||
}
|
||||
|
||||
export function isOperationInProgressOutput(
|
||||
output: EditAgentToolOutput,
|
||||
): output is OperationInProgressResponse {
|
||||
return (
|
||||
output.type === ResponseType.operation_in_progress ||
|
||||
"tool_call_id" in output
|
||||
);
|
||||
}
|
||||
|
||||
export function isAgentPreviewOutput(
|
||||
output: EditAgentToolOutput,
|
||||
): output is AgentPreviewResponse {
|
||||
return output.type === ResponseType.agent_preview || "agent_json" in output;
|
||||
}
|
||||
|
||||
export function isAgentSavedOutput(
|
||||
output: EditAgentToolOutput,
|
||||
): output is AgentSavedResponse {
|
||||
return (
|
||||
output.type === ResponseType.agent_saved || "agent_page_link" in output
|
||||
);
|
||||
}
|
||||
|
||||
export function isClarificationNeededOutput(
|
||||
output: EditAgentToolOutput,
|
||||
): output is ClarificationNeededResponse {
|
||||
return (
|
||||
output.type === ResponseType.clarification_needed || "questions" in output
|
||||
);
|
||||
}
|
||||
|
||||
export function isErrorOutput(
|
||||
output: EditAgentToolOutput,
|
||||
): output is ErrorResponse {
|
||||
return output.type === ResponseType.error || "error" in output;
|
||||
}
|
||||
|
||||
export function getAnimationText(part: {
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}): string {
|
||||
switch (part.state) {
|
||||
case "input-streaming":
|
||||
case "input-available":
|
||||
return "Editing the agent";
|
||||
case "output-available": {
|
||||
const output = parseOutput(part.output);
|
||||
if (!output) return "Editing the agent";
|
||||
if (isOperationStartedOutput(output)) return "Agent update started";
|
||||
if (isOperationPendingOutput(output)) return "Agent update in progress";
|
||||
if (isOperationInProgressOutput(output))
|
||||
return "Agent update already in progress";
|
||||
if (isAgentSavedOutput(output)) return `Saved "${output.agent_name}"`;
|
||||
if (isAgentPreviewOutput(output)) return `Preview "${output.agent_name}"`;
|
||||
if (isClarificationNeededOutput(output)) return "Needs clarification";
|
||||
return "Error editing agent";
|
||||
}
|
||||
case "output-error":
|
||||
return "Error editing agent";
|
||||
default:
|
||||
return "Editing the agent";
|
||||
}
|
||||
}
|
||||
|
||||
export function ToolIcon({
|
||||
isStreaming,
|
||||
isError,
|
||||
}: {
|
||||
isStreaming?: boolean;
|
||||
isError?: boolean;
|
||||
}) {
|
||||
if (isError) {
|
||||
return (
|
||||
<WarningDiamondIcon size={14} weight="regular" className="text-red-500" />
|
||||
);
|
||||
}
|
||||
if (isStreaming) {
|
||||
return <OrbitLoader size={24} />;
|
||||
}
|
||||
return (
|
||||
<PencilLineIcon size={14} weight="regular" className="text-neutral-400" />
|
||||
);
|
||||
}
|
||||
|
||||
export function AccordionIcon() {
|
||||
return <NotePencilIcon size={32} weight="light" />;
|
||||
}
|
||||
|
||||
export function formatMaybeJson(value: unknown): string {
|
||||
if (typeof value === "string") return value;
|
||||
try {
|
||||
return JSON.stringify(value, null, 2);
|
||||
} catch {
|
||||
return String(value);
|
||||
}
|
||||
}
|
||||
|
||||
export function truncateText(text: string, maxChars: number): string {
|
||||
const trimmed = text.trim();
|
||||
if (trimmed.length <= maxChars) return trimmed;
|
||||
return `${trimmed.slice(0, maxChars).trimEnd()}…`;
|
||||
}
|
||||
@@ -1,127 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { ToolUIPart } from "ai";
|
||||
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
|
||||
import {
|
||||
ContentBadge,
|
||||
ContentCard,
|
||||
ContentCardDescription,
|
||||
ContentCardHeader,
|
||||
ContentCardTitle,
|
||||
ContentGrid,
|
||||
ContentLink,
|
||||
} from "../../components/ToolAccordion/AccordionContent";
|
||||
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
|
||||
import {
|
||||
AccordionIcon,
|
||||
getAgentHref,
|
||||
getAnimationText,
|
||||
getFindAgentsOutput,
|
||||
getSourceLabelFromToolType,
|
||||
isAgentsFoundOutput,
|
||||
isErrorOutput,
|
||||
ToolIcon,
|
||||
} from "./helpers";
|
||||
|
||||
export interface FindAgentsToolPart {
|
||||
type: string;
|
||||
toolCallId: string;
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}
|
||||
|
||||
interface Props {
|
||||
part: FindAgentsToolPart;
|
||||
}
|
||||
|
||||
export function FindAgentsTool({ part }: Props) {
|
||||
const text = getAnimationText(part);
|
||||
const output = getFindAgentsOutput(part);
|
||||
const isStreaming =
|
||||
part.state === "input-streaming" || part.state === "input-available";
|
||||
const isError =
|
||||
part.state === "output-error" || (!!output && isErrorOutput(output));
|
||||
|
||||
const query =
|
||||
typeof part.input === "object" && part.input !== null
|
||||
? String((part.input as { query?: unknown }).query ?? "").trim()
|
||||
: "";
|
||||
|
||||
const agentsFoundOutput =
|
||||
part.state === "output-available" && output && isAgentsFoundOutput(output)
|
||||
? output
|
||||
: null;
|
||||
|
||||
const hasAgents =
|
||||
!!agentsFoundOutput &&
|
||||
agentsFoundOutput.agents.length > 0 &&
|
||||
(typeof agentsFoundOutput.count !== "number" ||
|
||||
agentsFoundOutput.count > 0);
|
||||
const totalCount = agentsFoundOutput ? agentsFoundOutput.count : 0;
|
||||
const { source } = getSourceLabelFromToolType(part.type);
|
||||
const scopeText =
|
||||
source === "library"
|
||||
? "in your library"
|
||||
: source === "marketplace"
|
||||
? "in marketplace"
|
||||
: "";
|
||||
const accordionDescription = `Found ${totalCount}${scopeText ? ` ${scopeText}` : ""}${
|
||||
query ? ` for "${query}"` : ""
|
||||
}`;
|
||||
|
||||
return (
|
||||
<div className="py-2">
|
||||
<div className="flex items-center gap-2 text-sm text-muted-foreground">
|
||||
<ToolIcon
|
||||
toolType={part.type}
|
||||
isStreaming={isStreaming}
|
||||
isError={isError}
|
||||
/>
|
||||
<MorphingTextAnimation
|
||||
text={text}
|
||||
className={isError ? "text-red-500" : undefined}
|
||||
/>
|
||||
</div>
|
||||
|
||||
{hasAgents && agentsFoundOutput && (
|
||||
<ToolAccordion
|
||||
icon={<AccordionIcon toolType={part.type} />}
|
||||
title="Agent results"
|
||||
description={accordionDescription}
|
||||
>
|
||||
<ContentGrid className="sm:grid-cols-2">
|
||||
{agentsFoundOutput.agents.map((agent) => {
|
||||
const href = getAgentHref(agent);
|
||||
const agentSource =
|
||||
agent.source === "library"
|
||||
? "Library"
|
||||
: agent.source === "marketplace"
|
||||
? "Marketplace"
|
||||
: null;
|
||||
return (
|
||||
<ContentCard key={agent.id}>
|
||||
<ContentCardHeader
|
||||
action={
|
||||
href ? <ContentLink href={href}>Open</ContentLink> : null
|
||||
}
|
||||
>
|
||||
<div className="flex items-center gap-2">
|
||||
<ContentCardTitle>{agent.name}</ContentCardTitle>
|
||||
{agentSource && (
|
||||
<ContentBadge>{agentSource}</ContentBadge>
|
||||
)}
|
||||
</div>
|
||||
<ContentCardDescription className="mt-1 line-clamp-2">
|
||||
{agent.description}
|
||||
</ContentCardDescription>
|
||||
</ContentCardHeader>
|
||||
</ContentCard>
|
||||
);
|
||||
})}
|
||||
</ContentGrid>
|
||||
</ToolAccordion>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,187 +0,0 @@
|
||||
import type { AgentInfo } from "@/app/api/__generated__/models/agentInfo";
|
||||
import type { AgentsFoundResponse } from "@/app/api/__generated__/models/agentsFoundResponse";
|
||||
import type { ErrorResponse } from "@/app/api/__generated__/models/errorResponse";
|
||||
import type { NoResultsResponse } from "@/app/api/__generated__/models/noResultsResponse";
|
||||
import { ResponseType } from "@/app/api/__generated__/models/responseType";
|
||||
import {
|
||||
FolderOpenIcon,
|
||||
MagnifyingGlassIcon,
|
||||
SquaresFourIcon,
|
||||
StorefrontIcon,
|
||||
} from "@phosphor-icons/react";
|
||||
import { ToolUIPart } from "ai";
|
||||
|
||||
export interface FindAgentInput {
|
||||
query: string;
|
||||
}
|
||||
|
||||
export type FindAgentsOutput =
|
||||
| AgentsFoundResponse
|
||||
| NoResultsResponse
|
||||
| ErrorResponse;
|
||||
|
||||
export type FindAgentsToolType =
|
||||
| "tool-find_agent"
|
||||
| "tool-find_library_agent"
|
||||
| (string & {});
|
||||
|
||||
function parseOutput(output: unknown): FindAgentsOutput | null {
|
||||
if (!output) return null;
|
||||
if (typeof output === "string") {
|
||||
const trimmed = output.trim();
|
||||
if (!trimmed) return null;
|
||||
try {
|
||||
return parseOutput(JSON.parse(trimmed) as unknown);
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (typeof output === "object") {
|
||||
const type = (output as { type?: unknown }).type;
|
||||
if (
|
||||
type === ResponseType.agents_found ||
|
||||
type === ResponseType.no_results ||
|
||||
type === ResponseType.error
|
||||
) {
|
||||
return output as FindAgentsOutput;
|
||||
}
|
||||
if ("agents" in output && "count" in output)
|
||||
return output as AgentsFoundResponse;
|
||||
if ("suggestions" in output && !("error" in output))
|
||||
return output as NoResultsResponse;
|
||||
if ("error" in output || "details" in output)
|
||||
return output as ErrorResponse;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function getFindAgentsOutput(part: unknown): FindAgentsOutput | null {
|
||||
if (!part || typeof part !== "object") return null;
|
||||
return parseOutput((part as { output?: unknown }).output);
|
||||
}
|
||||
|
||||
export function isAgentsFoundOutput(
|
||||
output: FindAgentsOutput,
|
||||
): output is AgentsFoundResponse {
|
||||
return output.type === ResponseType.agents_found || "agents" in output;
|
||||
}
|
||||
|
||||
export function isNoResultsOutput(
|
||||
output: FindAgentsOutput,
|
||||
): output is NoResultsResponse {
|
||||
return (
|
||||
output.type === ResponseType.no_results ||
|
||||
("suggestions" in output && !("error" in output))
|
||||
);
|
||||
}
|
||||
|
||||
export function isErrorOutput(
|
||||
output: FindAgentsOutput,
|
||||
): output is ErrorResponse {
|
||||
return output.type === ResponseType.error || "error" in output;
|
||||
}
|
||||
|
||||
export function getSourceLabelFromToolType(toolType?: FindAgentsToolType): {
|
||||
source: "marketplace" | "library" | "unknown";
|
||||
label: string;
|
||||
} {
|
||||
if (toolType === "tool-find_library_agent") {
|
||||
return { source: "library", label: "Library" };
|
||||
}
|
||||
if (toolType === "tool-find_agent") {
|
||||
return { source: "marketplace", label: "Marketplace" };
|
||||
}
|
||||
return { source: "unknown", label: "Agents" };
|
||||
}
|
||||
|
||||
export function getAnimationText(part: {
|
||||
type?: FindAgentsToolType;
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}): string {
|
||||
const { source } = getSourceLabelFromToolType(part.type);
|
||||
const query = (part.input as FindAgentInput | undefined)?.query?.trim();
|
||||
|
||||
// Action phrase matching legacy ToolCallMessage
|
||||
const actionPhrase =
|
||||
source === "library"
|
||||
? "Looking for library agents"
|
||||
: "Looking for agents in the marketplace";
|
||||
|
||||
const queryText = query ? ` matching "${query}"` : "";
|
||||
|
||||
switch (part.state) {
|
||||
case "input-streaming":
|
||||
case "input-available":
|
||||
return `${actionPhrase}${queryText}`;
|
||||
|
||||
case "output-available": {
|
||||
const output = parseOutput(part.output);
|
||||
if (!output) {
|
||||
return `${actionPhrase}${queryText}`;
|
||||
}
|
||||
if (isNoResultsOutput(output)) {
|
||||
return `No agents found${queryText}`;
|
||||
}
|
||||
if (isAgentsFoundOutput(output)) {
|
||||
const count = output.count ?? output.agents?.length ?? 0;
|
||||
return `Found ${count} agent${count === 1 ? "" : "s"}${queryText}`;
|
||||
}
|
||||
if (isErrorOutput(output)) {
|
||||
return `Error finding agents${queryText}`;
|
||||
}
|
||||
return `${actionPhrase}${queryText}`;
|
||||
}
|
||||
|
||||
case "output-error":
|
||||
return `Error finding agents${queryText}`;
|
||||
|
||||
default:
|
||||
return actionPhrase;
|
||||
}
|
||||
}
|
||||
|
||||
export function getAgentHref(agent: AgentInfo): string | null {
|
||||
if (agent.source === "library") {
|
||||
return `/library/agents/${encodeURIComponent(agent.id)}`;
|
||||
}
|
||||
|
||||
const [creator, slug, ...rest] = agent.id.split("/");
|
||||
if (!creator || !slug || rest.length > 0) return null;
|
||||
return `/marketplace/agent/${encodeURIComponent(creator)}/${encodeURIComponent(slug)}`;
|
||||
}
|
||||
|
||||
export function ToolIcon({
|
||||
toolType,
|
||||
isStreaming,
|
||||
isError,
|
||||
}: {
|
||||
toolType?: FindAgentsToolType;
|
||||
isStreaming?: boolean;
|
||||
isError?: boolean;
|
||||
}) {
|
||||
const { source } = getSourceLabelFromToolType(toolType);
|
||||
const IconComponent =
|
||||
source === "library" ? MagnifyingGlassIcon : SquaresFourIcon;
|
||||
|
||||
return (
|
||||
<IconComponent
|
||||
size={14}
|
||||
weight="regular"
|
||||
className={
|
||||
isError
|
||||
? "text-red-500"
|
||||
: isStreaming
|
||||
? "text-neutral-500"
|
||||
: "text-neutral-400"
|
||||
}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
export function AccordionIcon({ toolType }: { toolType?: FindAgentsToolType }) {
|
||||
const { source } = getSourceLabelFromToolType(toolType);
|
||||
const IconComponent = source === "library" ? FolderOpenIcon : StorefrontIcon;
|
||||
return <IconComponent size={32} weight="light" />;
|
||||
}
|
||||
@@ -1,92 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
|
||||
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
|
||||
import {
|
||||
ContentCard,
|
||||
ContentCardDescription,
|
||||
ContentCardTitle,
|
||||
} from "../../components/ToolAccordion/AccordionContent";
|
||||
import type { BlockListResponse } from "@/app/api/__generated__/models/blockListResponse";
|
||||
import type { BlockInfoSummary } from "@/app/api/__generated__/models/blockInfoSummary";
|
||||
import { ToolUIPart } from "ai";
|
||||
import { HorizontalScroll } from "@/app/(platform)/build/components/NewControlPanel/NewBlockMenu/HorizontalScroll";
|
||||
import {
|
||||
AccordionIcon,
|
||||
getAnimationText,
|
||||
parseOutput,
|
||||
ToolIcon,
|
||||
} from "./helpers";
|
||||
|
||||
export interface FindBlockInput {
|
||||
query: string;
|
||||
}
|
||||
|
||||
export type FindBlockOutput = BlockListResponse;
|
||||
|
||||
export interface FindBlockToolPart {
|
||||
type: string;
|
||||
toolName?: string;
|
||||
toolCallId: string;
|
||||
state: ToolUIPart["state"];
|
||||
input?: FindBlockInput | unknown;
|
||||
output?: string | FindBlockOutput | unknown;
|
||||
title?: string;
|
||||
}
|
||||
|
||||
interface Props {
|
||||
part: FindBlockToolPart;
|
||||
}
|
||||
|
||||
function BlockCard({ block }: { block: BlockInfoSummary }) {
|
||||
return (
|
||||
<ContentCard className="w-48 shrink-0">
|
||||
<ContentCardTitle>{block.name}</ContentCardTitle>
|
||||
<ContentCardDescription className="mt-1 line-clamp-2">
|
||||
{block.description}
|
||||
</ContentCardDescription>
|
||||
</ContentCard>
|
||||
);
|
||||
}
|
||||
|
||||
export function FindBlocksTool({ part }: Props) {
|
||||
const text = getAnimationText(part);
|
||||
const isStreaming =
|
||||
part.state === "input-streaming" || part.state === "input-available";
|
||||
const isError = part.state === "output-error";
|
||||
|
||||
const parsed =
|
||||
part.state === "output-available" ? parseOutput(part.output) : null;
|
||||
const hasBlocks = !!parsed && parsed.blocks.length > 0;
|
||||
|
||||
const query = (part.input as FindBlockInput | undefined)?.query?.trim();
|
||||
const accordionDescription = parsed
|
||||
? `Found ${parsed.count} block${parsed.count === 1 ? "" : "s"}${query ? ` for "${query}"` : ""}`
|
||||
: undefined;
|
||||
|
||||
return (
|
||||
<div className="py-2">
|
||||
<div className="flex items-center gap-2 text-sm text-muted-foreground">
|
||||
<ToolIcon isStreaming={isStreaming} isError={isError} />
|
||||
<MorphingTextAnimation
|
||||
text={text}
|
||||
className={isError ? "text-red-500" : undefined}
|
||||
/>
|
||||
</div>
|
||||
|
||||
{hasBlocks && parsed && (
|
||||
<ToolAccordion
|
||||
icon={<AccordionIcon />}
|
||||
title="Block results"
|
||||
description={accordionDescription}
|
||||
>
|
||||
<HorizontalScroll dependencyList={[parsed.blocks.length]}>
|
||||
{parsed.blocks.map((block) => (
|
||||
<BlockCard key={block.id} block={block} />
|
||||
))}
|
||||
</HorizontalScroll>
|
||||
</ToolAccordion>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,75 +0,0 @@
|
||||
import type { BlockListResponse } from "@/app/api/__generated__/models/blockListResponse";
|
||||
import { ResponseType } from "@/app/api/__generated__/models/responseType";
|
||||
import { CubeIcon, PackageIcon } from "@phosphor-icons/react";
|
||||
import { FindBlockInput, FindBlockToolPart } from "./FindBlocks";
|
||||
|
||||
export function parseOutput(output: unknown): BlockListResponse | null {
|
||||
if (!output) return null;
|
||||
if (typeof output === "string") {
|
||||
const trimmed = output.trim();
|
||||
if (!trimmed) return null;
|
||||
try {
|
||||
return parseOutput(JSON.parse(trimmed) as unknown);
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (typeof output === "object") {
|
||||
const type = (output as { type?: unknown }).type;
|
||||
if (type === ResponseType.block_list || "blocks" in output) {
|
||||
return output as BlockListResponse;
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function getAnimationText(part: FindBlockToolPart): string {
|
||||
const query = (part.input as FindBlockInput | undefined)?.query?.trim();
|
||||
const queryText = query ? ` matching "${query}"` : "";
|
||||
|
||||
switch (part.state) {
|
||||
case "input-streaming":
|
||||
case "input-available":
|
||||
return `Searching for blocks${queryText}`;
|
||||
|
||||
case "output-available": {
|
||||
const parsed = parseOutput(part.output);
|
||||
if (parsed) {
|
||||
return `Found ${parsed.count} block${parsed.count === 1 ? "" : "s"}${queryText}`;
|
||||
}
|
||||
return `Searching for blocks${queryText}`;
|
||||
}
|
||||
|
||||
case "output-error":
|
||||
return `Error finding blocks${queryText}`;
|
||||
|
||||
default:
|
||||
return "Searching for blocks";
|
||||
}
|
||||
}
|
||||
|
||||
export function ToolIcon({
|
||||
isStreaming,
|
||||
isError,
|
||||
}: {
|
||||
isStreaming?: boolean;
|
||||
isError?: boolean;
|
||||
}) {
|
||||
return (
|
||||
<PackageIcon
|
||||
size={14}
|
||||
weight="regular"
|
||||
className={
|
||||
isError
|
||||
? "text-red-500"
|
||||
: isStreaming
|
||||
? "text-neutral-500"
|
||||
: "text-neutral-400"
|
||||
}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
export function AccordionIcon() {
|
||||
return <CubeIcon size={32} weight="light" />;
|
||||
}
|
||||
@@ -1,86 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import type { ToolUIPart } from "ai";
|
||||
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
|
||||
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
|
||||
import { ContentMessage } from "../../components/ToolAccordion/AccordionContent";
|
||||
import {
|
||||
getAccordionMeta,
|
||||
getAnimationText,
|
||||
getRunAgentToolOutput,
|
||||
isRunAgentAgentDetailsOutput,
|
||||
isRunAgentErrorOutput,
|
||||
isRunAgentExecutionStartedOutput,
|
||||
isRunAgentNeedLoginOutput,
|
||||
isRunAgentSetupRequirementsOutput,
|
||||
ToolIcon,
|
||||
} from "./helpers";
|
||||
import { ExecutionStartedCard } from "./components/ExecutionStartedCard/ExecutionStartedCard";
|
||||
import { AgentDetailsCard } from "./components/AgentDetailsCard/AgentDetailsCard";
|
||||
import { SetupRequirementsCard } from "./components/SetupRequirementsCard/SetupRequirementsCard";
|
||||
import { ErrorCard } from "./components/ErrorCard/ErrorCard";
|
||||
|
||||
export interface RunAgentToolPart {
|
||||
type: string;
|
||||
toolCallId: string;
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}
|
||||
|
||||
interface Props {
|
||||
part: RunAgentToolPart;
|
||||
}
|
||||
|
||||
export function RunAgentTool({ part }: Props) {
|
||||
const text = getAnimationText(part);
|
||||
const isStreaming =
|
||||
part.state === "input-streaming" || part.state === "input-available";
|
||||
|
||||
const output = getRunAgentToolOutput(part);
|
||||
const isError =
|
||||
part.state === "output-error" ||
|
||||
(!!output && isRunAgentErrorOutput(output));
|
||||
const hasExpandableContent =
|
||||
part.state === "output-available" &&
|
||||
!!output &&
|
||||
(isRunAgentExecutionStartedOutput(output) ||
|
||||
isRunAgentAgentDetailsOutput(output) ||
|
||||
isRunAgentSetupRequirementsOutput(output) ||
|
||||
isRunAgentNeedLoginOutput(output) ||
|
||||
isRunAgentErrorOutput(output));
|
||||
|
||||
return (
|
||||
<div className="py-2">
|
||||
<div className="flex items-center gap-2 text-sm text-muted-foreground">
|
||||
<ToolIcon isStreaming={isStreaming} isError={isError} />
|
||||
<MorphingTextAnimation
|
||||
text={text}
|
||||
className={isError ? "text-red-500" : undefined}
|
||||
/>
|
||||
</div>
|
||||
|
||||
{hasExpandableContent && output && (
|
||||
<ToolAccordion {...getAccordionMeta(output)}>
|
||||
{isRunAgentExecutionStartedOutput(output) && (
|
||||
<ExecutionStartedCard output={output} />
|
||||
)}
|
||||
|
||||
{isRunAgentAgentDetailsOutput(output) && (
|
||||
<AgentDetailsCard output={output} />
|
||||
)}
|
||||
|
||||
{isRunAgentSetupRequirementsOutput(output) && (
|
||||
<SetupRequirementsCard output={output} />
|
||||
)}
|
||||
|
||||
{isRunAgentNeedLoginOutput(output) && (
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
)}
|
||||
|
||||
{isRunAgentErrorOutput(output) && <ErrorCard output={output} />}
|
||||
</ToolAccordion>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,116 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import type { AgentDetailsResponse } from "@/app/api/__generated__/models/agentDetailsResponse";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import { FormRenderer } from "@/components/renderers/InputRenderer/FormRenderer";
|
||||
import { AnimatePresence, motion } from "framer-motion";
|
||||
import { useState } from "react";
|
||||
import { useCopilotChatActions } from "../../../../components/CopilotChatActionsProvider/useCopilotChatActions";
|
||||
import { ContentMessage } from "../../../../components/ToolAccordion/AccordionContent";
|
||||
import { buildInputSchema } from "./helpers";
|
||||
|
||||
interface Props {
|
||||
output: AgentDetailsResponse;
|
||||
}
|
||||
|
||||
export function AgentDetailsCard({ output }: Props) {
|
||||
const { onSend } = useCopilotChatActions();
|
||||
const [showInputForm, setShowInputForm] = useState(false);
|
||||
const [inputValues, setInputValues] = useState<Record<string, unknown>>({});
|
||||
|
||||
function handleRunWithExamples() {
|
||||
onSend(
|
||||
`Run the agent "${output.agent.name}" with placeholder/example values so I can test it.`,
|
||||
);
|
||||
}
|
||||
|
||||
function handleRunWithInputs() {
|
||||
const nonEmpty = Object.fromEntries(
|
||||
Object.entries(inputValues).filter(
|
||||
([, v]) => v !== undefined && v !== null && v !== "",
|
||||
),
|
||||
);
|
||||
onSend(
|
||||
`Run the agent "${output.agent.name}" with these inputs: ${JSON.stringify(nonEmpty, null, 2)}`,
|
||||
);
|
||||
setShowInputForm(false);
|
||||
setInputValues({});
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="grid gap-2">
|
||||
<ContentMessage>
|
||||
Run this agent with example values or your own inputs.
|
||||
</ContentMessage>
|
||||
|
||||
<div className="flex gap-2 pt-4">
|
||||
<Button size="small" className="w-fit" onClick={handleRunWithExamples}>
|
||||
Run with example values
|
||||
</Button>
|
||||
<Button
|
||||
variant="outline"
|
||||
size="small"
|
||||
className="w-fit"
|
||||
onClick={() => setShowInputForm((prev) => !prev)}
|
||||
>
|
||||
Run with my inputs
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
<AnimatePresence initial={false}>
|
||||
{showInputForm && buildInputSchema(output.agent.inputs) && (
|
||||
<motion.div
|
||||
initial={{ height: 0, opacity: 0, filter: "blur(6px)" }}
|
||||
animate={{ height: "auto", opacity: 1, filter: "blur(0px)" }}
|
||||
exit={{ height: 0, opacity: 0, filter: "blur(6px)" }}
|
||||
transition={{
|
||||
height: { type: "spring", bounce: 0.15, duration: 0.5 },
|
||||
opacity: { duration: 0.25 },
|
||||
filter: { duration: 0.2 },
|
||||
}}
|
||||
className="overflow-hidden"
|
||||
style={{ willChange: "height, opacity, filter" }}
|
||||
>
|
||||
<div className="mt-4 rounded-2xl border bg-background p-3 pt-4">
|
||||
<Text variant="body-medium">Enter your inputs</Text>
|
||||
<FormRenderer
|
||||
jsonSchema={buildInputSchema(output.agent.inputs)!}
|
||||
handleChange={(v) => setInputValues(v.formData ?? {})}
|
||||
uiSchema={{
|
||||
"ui:submitButtonOptions": { norender: true },
|
||||
}}
|
||||
initialValues={inputValues}
|
||||
formContext={{
|
||||
showHandles: false,
|
||||
size: "small",
|
||||
}}
|
||||
/>
|
||||
<div className="-mt-8 flex gap-2">
|
||||
<Button
|
||||
variant="primary"
|
||||
size="small"
|
||||
className="w-fit"
|
||||
onClick={handleRunWithInputs}
|
||||
>
|
||||
Run
|
||||
</Button>
|
||||
<Button
|
||||
variant="secondary"
|
||||
size="small"
|
||||
className="w-fit"
|
||||
onClick={() => {
|
||||
setShowInputForm(false);
|
||||
setInputValues({});
|
||||
}}
|
||||
>
|
||||
Cancel
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
</motion.div>
|
||||
)}
|
||||
</AnimatePresence>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,8 +0,0 @@
|
||||
import type { RJSFSchema } from "@rjsf/utils";
|
||||
|
||||
export function buildInputSchema(inputs: unknown): RJSFSchema | null {
|
||||
if (!inputs || typeof inputs !== "object") return null;
|
||||
const properties = inputs as RJSFSchema["properties"];
|
||||
if (!properties || Object.keys(properties).length === 0) return null;
|
||||
return inputs as RJSFSchema;
|
||||
}
|
||||
@@ -1,27 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import type { ErrorResponse } from "@/app/api/__generated__/models/errorResponse";
|
||||
import {
|
||||
ContentCodeBlock,
|
||||
ContentGrid,
|
||||
ContentMessage,
|
||||
} from "../../../../components/ToolAccordion/AccordionContent";
|
||||
import { formatMaybeJson } from "../../helpers";
|
||||
|
||||
interface Props {
|
||||
output: ErrorResponse;
|
||||
}
|
||||
|
||||
export function ErrorCard({ output }: Props) {
|
||||
return (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
{output.error && (
|
||||
<ContentCodeBlock>{formatMaybeJson(output.error)}</ContentCodeBlock>
|
||||
)}
|
||||
{output.details && (
|
||||
<ContentCodeBlock>{formatMaybeJson(output.details)}</ContentCodeBlock>
|
||||
)}
|
||||
</ContentGrid>
|
||||
);
|
||||
}
|
||||
@@ -1,39 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import type { ExecutionStartedResponse } from "@/app/api/__generated__/models/executionStartedResponse";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import { useRouter } from "next/navigation";
|
||||
import {
|
||||
ContentCard,
|
||||
ContentCardDescription,
|
||||
ContentCardSubtitle,
|
||||
ContentCardTitle,
|
||||
ContentGrid,
|
||||
} from "../../../../components/ToolAccordion/AccordionContent";
|
||||
|
||||
interface Props {
|
||||
output: ExecutionStartedResponse;
|
||||
}
|
||||
|
||||
export function ExecutionStartedCard({ output }: Props) {
|
||||
const router = useRouter();
|
||||
|
||||
return (
|
||||
<ContentGrid>
|
||||
<ContentCard>
|
||||
<ContentCardTitle>Execution started</ContentCardTitle>
|
||||
<ContentCardSubtitle>{output.execution_id}</ContentCardSubtitle>
|
||||
<ContentCardDescription>{output.message}</ContentCardDescription>
|
||||
{output.library_agent_link && (
|
||||
<Button
|
||||
size="small"
|
||||
className="mt-3"
|
||||
onClick={() => router.push(output.library_agent_link!)}
|
||||
>
|
||||
View Execution
|
||||
</Button>
|
||||
)}
|
||||
</ContentCard>
|
||||
</ContentGrid>
|
||||
);
|
||||
}
|
||||
@@ -1,105 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import { useState } from "react";
|
||||
import { CredentialsGroupedView } from "@/components/contextual/CredentialsInput/components/CredentialsGroupedView/CredentialsGroupedView";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import type { CredentialsMetaInput } from "@/lib/autogpt-server-api/types";
|
||||
import type { SetupRequirementsResponse } from "@/app/api/__generated__/models/setupRequirementsResponse";
|
||||
import { useCopilotChatActions } from "../../../../components/CopilotChatActionsProvider/useCopilotChatActions";
|
||||
import {
|
||||
ContentBadge,
|
||||
ContentCardDescription,
|
||||
ContentCardTitle,
|
||||
ContentMessage,
|
||||
} from "../../../../components/ToolAccordion/AccordionContent";
|
||||
import { coerceCredentialFields, coerceExpectedInputs } from "./helpers";
|
||||
|
||||
interface Props {
|
||||
output: SetupRequirementsResponse;
|
||||
}
|
||||
|
||||
export function SetupRequirementsCard({ output }: Props) {
|
||||
const { onSend } = useCopilotChatActions();
|
||||
|
||||
const [inputCredentials, setInputCredentials] = useState<
|
||||
Record<string, CredentialsMetaInput | undefined>
|
||||
>({});
|
||||
const [hasSent, setHasSent] = useState(false);
|
||||
|
||||
const { credentialFields, requiredCredentials } = coerceCredentialFields(
|
||||
output.setup_info.user_readiness?.missing_credentials,
|
||||
);
|
||||
|
||||
const expectedInputs = coerceExpectedInputs(
|
||||
(output.setup_info.requirements as Record<string, unknown>)?.inputs,
|
||||
);
|
||||
|
||||
function handleCredentialChange(key: string, value?: CredentialsMetaInput) {
|
||||
setInputCredentials((prev) => ({ ...prev, [key]: value }));
|
||||
}
|
||||
|
||||
const isAllComplete =
|
||||
credentialFields.length > 0 &&
|
||||
[...requiredCredentials].every((key) => !!inputCredentials[key]);
|
||||
|
||||
function handleProceed() {
|
||||
setHasSent(true);
|
||||
onSend(
|
||||
"I've configured the required credentials. Please check if everything is ready and proceed with running the agent.",
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="grid gap-2">
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
|
||||
{credentialFields.length > 0 && (
|
||||
<div className="rounded-2xl border bg-background p-3">
|
||||
<CredentialsGroupedView
|
||||
credentialFields={credentialFields}
|
||||
requiredCredentials={requiredCredentials}
|
||||
inputCredentials={inputCredentials}
|
||||
inputValues={{}}
|
||||
onCredentialChange={handleCredentialChange}
|
||||
/>
|
||||
{isAllComplete && !hasSent && (
|
||||
<Button
|
||||
variant="primary"
|
||||
size="small"
|
||||
className="mt-3 w-full"
|
||||
onClick={handleProceed}
|
||||
>
|
||||
Proceed
|
||||
</Button>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{expectedInputs.length > 0 && (
|
||||
<div className="rounded-2xl border bg-background p-3">
|
||||
<ContentCardTitle className="text-xs">
|
||||
Expected inputs
|
||||
</ContentCardTitle>
|
||||
<div className="mt-2 grid gap-2">
|
||||
{expectedInputs.map((input) => (
|
||||
<div key={input.name} className="rounded-xl border p-2">
|
||||
<div className="flex items-center justify-between gap-2">
|
||||
<ContentCardTitle className="text-xs">
|
||||
{input.title}
|
||||
</ContentCardTitle>
|
||||
<ContentBadge>
|
||||
{input.required ? "Required" : "Optional"}
|
||||
</ContentBadge>
|
||||
</div>
|
||||
<ContentCardDescription className="mt-1">
|
||||
{input.name} • {input.type}
|
||||
{input.description ? ` \u2022 ${input.description}` : ""}
|
||||
</ContentCardDescription>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,116 +0,0 @@
|
||||
import type { CredentialField } from "@/components/contextual/CredentialsInput/components/CredentialsGroupedView/helpers";
|
||||
|
||||
const VALID_CREDENTIAL_TYPES = new Set([
|
||||
"api_key",
|
||||
"oauth2",
|
||||
"user_password",
|
||||
"host_scoped",
|
||||
]);
|
||||
|
||||
/**
|
||||
* Transforms raw missing_credentials from SetupRequirementsResponse
|
||||
* into CredentialField[] tuples compatible with CredentialsGroupedView.
|
||||
*
|
||||
* Each CredentialField is [key, schema] where schema matches
|
||||
* BlockIOCredentialsSubSchema shape.
|
||||
*/
|
||||
export function coerceCredentialFields(rawMissingCredentials: unknown): {
|
||||
credentialFields: CredentialField[];
|
||||
requiredCredentials: Set<string>;
|
||||
} {
|
||||
const missing =
|
||||
rawMissingCredentials && typeof rawMissingCredentials === "object"
|
||||
? (rawMissingCredentials as Record<string, unknown>)
|
||||
: {};
|
||||
|
||||
const credentialFields: CredentialField[] = [];
|
||||
const requiredCredentials = new Set<string>();
|
||||
|
||||
Object.entries(missing).forEach(([key, value]) => {
|
||||
if (!value || typeof value !== "object") return;
|
||||
const cred = value as Record<string, unknown>;
|
||||
|
||||
const provider =
|
||||
typeof cred.provider === "string" ? cred.provider.trim() : "";
|
||||
if (!provider) return;
|
||||
|
||||
const types =
|
||||
Array.isArray(cred.types) && cred.types.length > 0
|
||||
? cred.types
|
||||
: typeof cred.type === "string"
|
||||
? [cred.type]
|
||||
: [];
|
||||
|
||||
const credentialTypes = types
|
||||
.map((t) => (typeof t === "string" ? t.trim() : ""))
|
||||
.filter((t) => VALID_CREDENTIAL_TYPES.has(t));
|
||||
|
||||
if (credentialTypes.length === 0) return;
|
||||
|
||||
const scopes = Array.isArray(cred.scopes)
|
||||
? cred.scopes.filter((s): s is string => typeof s === "string")
|
||||
: undefined;
|
||||
|
||||
const schema = {
|
||||
type: "object" as const,
|
||||
properties: {},
|
||||
credentials_provider: [provider],
|
||||
credentials_types: credentialTypes,
|
||||
credentials_scopes: scopes,
|
||||
};
|
||||
|
||||
credentialFields.push([key, schema]);
|
||||
requiredCredentials.add(key);
|
||||
});
|
||||
|
||||
return { credentialFields, requiredCredentials };
|
||||
}
|
||||
|
||||
export function coerceExpectedInputs(rawInputs: unknown): Array<{
|
||||
name: string;
|
||||
title: string;
|
||||
type: string;
|
||||
description?: string;
|
||||
required: boolean;
|
||||
}> {
|
||||
if (!Array.isArray(rawInputs)) return [];
|
||||
const results: Array<{
|
||||
name: string;
|
||||
title: string;
|
||||
type: string;
|
||||
description?: string;
|
||||
required: boolean;
|
||||
}> = [];
|
||||
|
||||
rawInputs.forEach((value, index) => {
|
||||
if (!value || typeof value !== "object") return;
|
||||
const input = value as Record<string, unknown>;
|
||||
|
||||
const name =
|
||||
typeof input.name === "string" && input.name.trim()
|
||||
? input.name.trim()
|
||||
: `input-${index}`;
|
||||
const title =
|
||||
typeof input.title === "string" && input.title.trim()
|
||||
? input.title.trim()
|
||||
: name;
|
||||
const type = typeof input.type === "string" ? input.type : "unknown";
|
||||
const description =
|
||||
typeof input.description === "string" && input.description.trim()
|
||||
? input.description.trim()
|
||||
: undefined;
|
||||
const required = Boolean(input.required);
|
||||
|
||||
const item: {
|
||||
name: string;
|
||||
title: string;
|
||||
type: string;
|
||||
description?: string;
|
||||
required: boolean;
|
||||
} = { name, title, type, required };
|
||||
if (description) item.description = description;
|
||||
results.push(item);
|
||||
});
|
||||
|
||||
return results;
|
||||
}
|
||||
@@ -1,248 +0,0 @@
|
||||
import type { AgentDetailsResponse } from "@/app/api/__generated__/models/agentDetailsResponse";
|
||||
import type { ErrorResponse } from "@/app/api/__generated__/models/errorResponse";
|
||||
import type { ExecutionStartedResponse } from "@/app/api/__generated__/models/executionStartedResponse";
|
||||
import type { NeedLoginResponse } from "@/app/api/__generated__/models/needLoginResponse";
|
||||
import { ResponseType } from "@/app/api/__generated__/models/responseType";
|
||||
import type { SetupRequirementsResponse } from "@/app/api/__generated__/models/setupRequirementsResponse";
|
||||
import {
|
||||
PlayIcon,
|
||||
RocketLaunchIcon,
|
||||
WarningDiamondIcon,
|
||||
} from "@phosphor-icons/react";
|
||||
import type { ToolUIPart } from "ai";
|
||||
import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
|
||||
|
||||
export interface RunAgentInput {
|
||||
username_agent_slug?: string;
|
||||
library_agent_id?: string;
|
||||
inputs?: Record<string, unknown>;
|
||||
use_defaults?: boolean;
|
||||
schedule_name?: string;
|
||||
cron?: string;
|
||||
timezone?: string;
|
||||
}
|
||||
|
||||
export type RunAgentToolOutput =
|
||||
| SetupRequirementsResponse
|
||||
| ExecutionStartedResponse
|
||||
| AgentDetailsResponse
|
||||
| NeedLoginResponse
|
||||
| ErrorResponse;
|
||||
|
||||
const RUN_AGENT_OUTPUT_TYPES = new Set<string>([
|
||||
ResponseType.setup_requirements,
|
||||
ResponseType.execution_started,
|
||||
ResponseType.agent_details,
|
||||
ResponseType.need_login,
|
||||
ResponseType.error,
|
||||
]);
|
||||
|
||||
export function isRunAgentSetupRequirementsOutput(
|
||||
output: RunAgentToolOutput,
|
||||
): output is SetupRequirementsResponse {
|
||||
return (
|
||||
output.type === ResponseType.setup_requirements ||
|
||||
("setup_info" in output && typeof output.setup_info === "object")
|
||||
);
|
||||
}
|
||||
|
||||
export function isRunAgentExecutionStartedOutput(
|
||||
output: RunAgentToolOutput,
|
||||
): output is ExecutionStartedResponse {
|
||||
return (
|
||||
output.type === ResponseType.execution_started || "execution_id" in output
|
||||
);
|
||||
}
|
||||
|
||||
export function isRunAgentAgentDetailsOutput(
|
||||
output: RunAgentToolOutput,
|
||||
): output is AgentDetailsResponse {
|
||||
return output.type === ResponseType.agent_details || "agent" in output;
|
||||
}
|
||||
|
||||
export function isRunAgentNeedLoginOutput(
|
||||
output: RunAgentToolOutput,
|
||||
): output is NeedLoginResponse {
|
||||
return output.type === ResponseType.need_login;
|
||||
}
|
||||
|
||||
export function isRunAgentErrorOutput(
|
||||
output: RunAgentToolOutput,
|
||||
): output is ErrorResponse {
|
||||
return output.type === ResponseType.error || "error" in output;
|
||||
}
|
||||
|
||||
function parseOutput(output: unknown): RunAgentToolOutput | null {
|
||||
if (!output) return null;
|
||||
if (typeof output === "string") {
|
||||
const trimmed = output.trim();
|
||||
if (!trimmed) return null;
|
||||
try {
|
||||
return parseOutput(JSON.parse(trimmed) as unknown);
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (typeof output === "object") {
|
||||
const type = (output as { type?: unknown }).type;
|
||||
if (typeof type === "string" && RUN_AGENT_OUTPUT_TYPES.has(type)) {
|
||||
return output as RunAgentToolOutput;
|
||||
}
|
||||
if ("execution_id" in output) return output as ExecutionStartedResponse;
|
||||
if ("setup_info" in output) return output as SetupRequirementsResponse;
|
||||
if ("agent" in output) return output as AgentDetailsResponse;
|
||||
if ("error" in output || "details" in output)
|
||||
return output as ErrorResponse;
|
||||
if (type === ResponseType.need_login) return output as NeedLoginResponse;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function getRunAgentToolOutput(
|
||||
part: unknown,
|
||||
): RunAgentToolOutput | null {
|
||||
if (!part || typeof part !== "object") return null;
|
||||
return parseOutput((part as { output?: unknown }).output);
|
||||
}
|
||||
|
||||
function getAgentIdentifierText(
|
||||
input: RunAgentInput | undefined,
|
||||
): string | null {
|
||||
if (!input) return null;
|
||||
const slug = input.username_agent_slug?.trim();
|
||||
if (slug) return slug;
|
||||
const libraryId = input.library_agent_id?.trim();
|
||||
if (libraryId) return `Library agent ${libraryId}`;
|
||||
return null;
|
||||
}
|
||||
|
||||
export function getAnimationText(part: {
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}): string {
|
||||
const input = part.input as RunAgentInput | undefined;
|
||||
const agentIdentifier = getAgentIdentifierText(input);
|
||||
const isSchedule = Boolean(
|
||||
input?.schedule_name?.trim() || input?.cron?.trim(),
|
||||
);
|
||||
const actionPhrase = isSchedule
|
||||
? "Scheduling the agent to run"
|
||||
: "Running the agent";
|
||||
const identifierText = agentIdentifier ? ` "${agentIdentifier}"` : "";
|
||||
|
||||
switch (part.state) {
|
||||
case "input-streaming":
|
||||
case "input-available":
|
||||
return `${actionPhrase}${identifierText}`;
|
||||
case "output-available": {
|
||||
const output = parseOutput(part.output);
|
||||
if (!output) return `${actionPhrase}${identifierText}`;
|
||||
if (isRunAgentExecutionStartedOutput(output)) {
|
||||
return `Started "${output.graph_name}"`;
|
||||
}
|
||||
if (isRunAgentAgentDetailsOutput(output)) {
|
||||
return `Agent inputs needed for "${output.agent.name}"`;
|
||||
}
|
||||
if (isRunAgentSetupRequirementsOutput(output)) {
|
||||
return `Setup needed for "${output.setup_info.agent_name}"`;
|
||||
}
|
||||
if (isRunAgentNeedLoginOutput(output))
|
||||
return "Sign in required to run agent";
|
||||
return "Error running agent";
|
||||
}
|
||||
case "output-error":
|
||||
return "Error running agent";
|
||||
default:
|
||||
return actionPhrase;
|
||||
}
|
||||
}
|
||||
|
||||
export function ToolIcon({
|
||||
isStreaming,
|
||||
isError,
|
||||
}: {
|
||||
isStreaming?: boolean;
|
||||
isError?: boolean;
|
||||
}) {
|
||||
if (isError) {
|
||||
return (
|
||||
<WarningDiamondIcon size={14} weight="regular" className="text-red-500" />
|
||||
);
|
||||
}
|
||||
if (isStreaming) {
|
||||
return <OrbitLoader size={24} />;
|
||||
}
|
||||
return <PlayIcon size={14} weight="regular" className="text-neutral-400" />;
|
||||
}
|
||||
|
||||
export function AccordionIcon() {
|
||||
return <RocketLaunchIcon size={28} weight="light" />;
|
||||
}
|
||||
|
||||
export function formatMaybeJson(value: unknown): string {
|
||||
if (typeof value === "string") return value;
|
||||
try {
|
||||
return JSON.stringify(value, null, 2);
|
||||
} catch {
|
||||
return String(value);
|
||||
}
|
||||
}
|
||||
|
||||
export function getAccordionMeta(output: RunAgentToolOutput): {
|
||||
icon: React.ReactNode;
|
||||
title: string;
|
||||
titleClassName?: string;
|
||||
description?: string;
|
||||
} {
|
||||
const icon = <AccordionIcon />;
|
||||
|
||||
if (isRunAgentExecutionStartedOutput(output)) {
|
||||
const statusText =
|
||||
typeof output.status === "string" && output.status.trim()
|
||||
? output.status.trim()
|
||||
: "started";
|
||||
return {
|
||||
icon: <OrbitLoader size={28} className="text-neutral-700" />,
|
||||
title: output.graph_name,
|
||||
description: `Status: ${statusText}`,
|
||||
};
|
||||
}
|
||||
|
||||
if (isRunAgentAgentDetailsOutput(output)) {
|
||||
return {
|
||||
icon,
|
||||
title: output.agent.name,
|
||||
description: "Inputs required",
|
||||
};
|
||||
}
|
||||
|
||||
if (isRunAgentSetupRequirementsOutput(output)) {
|
||||
const missingCredsCount = Object.keys(
|
||||
(output.setup_info.user_readiness?.missing_credentials ?? {}) as Record<
|
||||
string,
|
||||
unknown
|
||||
>,
|
||||
).length;
|
||||
return {
|
||||
icon,
|
||||
title: output.setup_info.agent_name,
|
||||
description:
|
||||
missingCredsCount > 0
|
||||
? `Missing ${missingCredsCount} credential${missingCredsCount === 1 ? "" : "s"}`
|
||||
: output.message,
|
||||
};
|
||||
}
|
||||
|
||||
if (isRunAgentNeedLoginOutput(output)) {
|
||||
return { icon, title: "Sign in required" };
|
||||
}
|
||||
|
||||
return {
|
||||
icon: (
|
||||
<WarningDiamondIcon size={28} weight="light" className="text-red-500" />
|
||||
),
|
||||
title: "Error",
|
||||
titleClassName: "text-red-500",
|
||||
};
|
||||
}
|
||||
@@ -1,70 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import type { ToolUIPart } from "ai";
|
||||
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
|
||||
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
|
||||
import { BlockOutputCard } from "./components/BlockOutputCard/BlockOutputCard";
|
||||
import { ErrorCard } from "./components/ErrorCard/ErrorCard";
|
||||
import { SetupRequirementsCard } from "./components/SetupRequirementsCard/SetupRequirementsCard";
|
||||
import {
|
||||
getAccordionMeta,
|
||||
getAnimationText,
|
||||
getRunBlockToolOutput,
|
||||
isRunBlockBlockOutput,
|
||||
isRunBlockErrorOutput,
|
||||
isRunBlockSetupRequirementsOutput,
|
||||
ToolIcon,
|
||||
} from "./helpers";
|
||||
|
||||
export interface RunBlockToolPart {
|
||||
type: string;
|
||||
toolCallId: string;
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}
|
||||
|
||||
interface Props {
|
||||
part: RunBlockToolPart;
|
||||
}
|
||||
|
||||
export function RunBlockTool({ part }: Props) {
|
||||
const text = getAnimationText(part);
|
||||
const isStreaming =
|
||||
part.state === "input-streaming" || part.state === "input-available";
|
||||
|
||||
const output = getRunBlockToolOutput(part);
|
||||
const isError =
|
||||
part.state === "output-error" ||
|
||||
(!!output && isRunBlockErrorOutput(output));
|
||||
const hasExpandableContent =
|
||||
part.state === "output-available" &&
|
||||
!!output &&
|
||||
(isRunBlockBlockOutput(output) ||
|
||||
isRunBlockSetupRequirementsOutput(output) ||
|
||||
isRunBlockErrorOutput(output));
|
||||
|
||||
return (
|
||||
<div className="py-2">
|
||||
<div className="flex items-center gap-2 text-sm text-muted-foreground">
|
||||
<ToolIcon isStreaming={isStreaming} isError={isError} />
|
||||
<MorphingTextAnimation
|
||||
text={text}
|
||||
className={isError ? "text-red-500" : undefined}
|
||||
/>
|
||||
</div>
|
||||
|
||||
{hasExpandableContent && output && (
|
||||
<ToolAccordion {...getAccordionMeta(output)}>
|
||||
{isRunBlockBlockOutput(output) && <BlockOutputCard output={output} />}
|
||||
|
||||
{isRunBlockSetupRequirementsOutput(output) && (
|
||||
<SetupRequirementsCard output={output} />
|
||||
)}
|
||||
|
||||
{isRunBlockErrorOutput(output) && <ErrorCard output={output} />}
|
||||
</ToolAccordion>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,133 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import React, { useState } from "react";
|
||||
import { getGetWorkspaceDownloadFileByIdUrl } from "@/app/api/__generated__/endpoints/workspace/workspace";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import type { BlockOutputResponse } from "@/app/api/__generated__/models/blockOutputResponse";
|
||||
import {
|
||||
globalRegistry,
|
||||
OutputItem,
|
||||
} from "@/components/contextual/OutputRenderers";
|
||||
import type { OutputMetadata } from "@/components/contextual/OutputRenderers";
|
||||
import {
|
||||
ContentBadge,
|
||||
ContentCard,
|
||||
ContentCardTitle,
|
||||
ContentGrid,
|
||||
ContentMessage,
|
||||
} from "../../../../components/ToolAccordion/AccordionContent";
|
||||
|
||||
interface Props {
|
||||
output: BlockOutputResponse;
|
||||
}
|
||||
|
||||
const COLLAPSED_LIMIT = 3;
|
||||
|
||||
function isWorkspaceRef(value: unknown): value is string {
|
||||
return typeof value === "string" && value.startsWith("workspace://");
|
||||
}
|
||||
|
||||
function resolveForRenderer(value: unknown): {
|
||||
value: unknown;
|
||||
metadata?: OutputMetadata;
|
||||
} {
|
||||
if (!isWorkspaceRef(value)) return { value };
|
||||
|
||||
const withoutPrefix = value.replace("workspace://", "");
|
||||
const fileId = withoutPrefix.split("#")[0];
|
||||
const apiPath = getGetWorkspaceDownloadFileByIdUrl(fileId);
|
||||
const url = `/api/proxy${apiPath}`;
|
||||
|
||||
const hashIndex = value.indexOf("#");
|
||||
const mimeHint =
|
||||
hashIndex !== -1 ? value.slice(hashIndex + 1) || undefined : undefined;
|
||||
|
||||
const metadata: OutputMetadata = {};
|
||||
if (mimeHint) {
|
||||
metadata.mimeType = mimeHint;
|
||||
if (mimeHint.startsWith("image/")) metadata.type = "image";
|
||||
else if (mimeHint.startsWith("video/")) metadata.type = "video";
|
||||
}
|
||||
|
||||
return { value: url, metadata };
|
||||
}
|
||||
|
||||
function RenderOutputValue({ value }: { value: unknown }) {
|
||||
const resolved = resolveForRenderer(value);
|
||||
const renderer = globalRegistry.getRenderer(
|
||||
resolved.value,
|
||||
resolved.metadata,
|
||||
);
|
||||
|
||||
if (renderer) {
|
||||
return (
|
||||
<OutputItem
|
||||
value={resolved.value}
|
||||
metadata={resolved.metadata}
|
||||
renderer={renderer}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
// Fallback for audio workspace refs
|
||||
if (
|
||||
isWorkspaceRef(value) &&
|
||||
resolved.metadata?.mimeType?.startsWith("audio/")
|
||||
) {
|
||||
return (
|
||||
<audio controls src={String(resolved.value)} className="mt-2 w-full" />
|
||||
);
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
function OutputKeySection({
|
||||
outputKey,
|
||||
items,
|
||||
}: {
|
||||
outputKey: string;
|
||||
items: unknown[];
|
||||
}) {
|
||||
const [expanded, setExpanded] = useState(false);
|
||||
const hasMoreItems = items.length > COLLAPSED_LIMIT;
|
||||
const visibleItems = expanded ? items : items.slice(0, COLLAPSED_LIMIT);
|
||||
|
||||
return (
|
||||
<ContentCard>
|
||||
<div className="flex items-center justify-between gap-2">
|
||||
<ContentCardTitle className="text-xs">{outputKey}</ContentCardTitle>
|
||||
<ContentBadge>
|
||||
{items.length} item{items.length === 1 ? "" : "s"}
|
||||
</ContentBadge>
|
||||
</div>
|
||||
<div className="mt-2">
|
||||
{visibleItems.map((item, i) => (
|
||||
<RenderOutputValue key={i} value={item} />
|
||||
))}
|
||||
</div>
|
||||
{hasMoreItems && (
|
||||
<Button
|
||||
variant="ghost"
|
||||
size="small"
|
||||
className="mt-1 h-auto px-0 py-0.5 text-[11px] text-muted-foreground"
|
||||
onClick={() => setExpanded((prev) => !prev)}
|
||||
>
|
||||
{expanded ? "Show less" : `Show all ${items.length} items`}
|
||||
</Button>
|
||||
)}
|
||||
</ContentCard>
|
||||
);
|
||||
}
|
||||
|
||||
export function BlockOutputCard({ output }: Props) {
|
||||
return (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
|
||||
{Object.entries(output.outputs ?? {}).map(([key, items]) => (
|
||||
<OutputKeySection key={key} outputKey={key} items={items} />
|
||||
))}
|
||||
</ContentGrid>
|
||||
);
|
||||
}
|
||||
@@ -1,27 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import type { ErrorResponse } from "@/app/api/__generated__/models/errorResponse";
|
||||
import {
|
||||
ContentCodeBlock,
|
||||
ContentGrid,
|
||||
ContentMessage,
|
||||
} from "../../../../components/ToolAccordion/AccordionContent";
|
||||
import { formatMaybeJson } from "../../helpers";
|
||||
|
||||
interface Props {
|
||||
output: ErrorResponse;
|
||||
}
|
||||
|
||||
export function ErrorCard({ output }: Props) {
|
||||
return (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
{output.error && (
|
||||
<ContentCodeBlock>{formatMaybeJson(output.error)}</ContentCodeBlock>
|
||||
)}
|
||||
{output.details && (
|
||||
<ContentCodeBlock>{formatMaybeJson(output.details)}</ContentCodeBlock>
|
||||
)}
|
||||
</ContentGrid>
|
||||
);
|
||||
}
|
||||
@@ -1,197 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import type { SetupRequirementsResponse } from "@/app/api/__generated__/models/setupRequirementsResponse";
|
||||
import { Button } from "@/components/atoms/Button/Button";
|
||||
import { Text } from "@/components/atoms/Text/Text";
|
||||
import { CredentialsGroupedView } from "@/components/contextual/CredentialsInput/components/CredentialsGroupedView/CredentialsGroupedView";
|
||||
import { FormRenderer } from "@/components/renderers/InputRenderer/FormRenderer";
|
||||
import type { CredentialsMetaInput } from "@/lib/autogpt-server-api/types";
|
||||
import { AnimatePresence, motion } from "framer-motion";
|
||||
import { useState } from "react";
|
||||
import { useCopilotChatActions } from "../../../../components/CopilotChatActionsProvider/useCopilotChatActions";
|
||||
import {
|
||||
ContentBadge,
|
||||
ContentCardDescription,
|
||||
ContentCardTitle,
|
||||
ContentMessage,
|
||||
} from "../../../../components/ToolAccordion/AccordionContent";
|
||||
import {
|
||||
buildExpectedInputsSchema,
|
||||
coerceCredentialFields,
|
||||
coerceExpectedInputs,
|
||||
} from "./helpers";
|
||||
|
||||
interface Props {
|
||||
output: SetupRequirementsResponse;
|
||||
}
|
||||
|
||||
export function SetupRequirementsCard({ output }: Props) {
|
||||
const { onSend } = useCopilotChatActions();
|
||||
|
||||
const [inputCredentials, setInputCredentials] = useState<
|
||||
Record<string, CredentialsMetaInput | undefined>
|
||||
>({});
|
||||
const [hasSentCredentials, setHasSentCredentials] = useState(false);
|
||||
|
||||
const [showInputForm, setShowInputForm] = useState(false);
|
||||
const [inputValues, setInputValues] = useState<Record<string, unknown>>({});
|
||||
|
||||
const { credentialFields, requiredCredentials } = coerceCredentialFields(
|
||||
output.setup_info.user_readiness?.missing_credentials,
|
||||
);
|
||||
|
||||
const expectedInputs = coerceExpectedInputs(
|
||||
(output.setup_info.requirements as Record<string, unknown>)?.inputs,
|
||||
);
|
||||
|
||||
const inputSchema = buildExpectedInputsSchema(expectedInputs);
|
||||
|
||||
function handleCredentialChange(key: string, value?: CredentialsMetaInput) {
|
||||
setInputCredentials((prev) => ({ ...prev, [key]: value }));
|
||||
}
|
||||
|
||||
const isAllCredentialsComplete =
|
||||
credentialFields.length > 0 &&
|
||||
[...requiredCredentials].every((key) => !!inputCredentials[key]);
|
||||
|
||||
function handleProceedCredentials() {
|
||||
setHasSentCredentials(true);
|
||||
onSend(
|
||||
"I've configured the required credentials. Please re-run the block now.",
|
||||
);
|
||||
}
|
||||
|
||||
function handleRunWithInputs() {
|
||||
const nonEmpty = Object.fromEntries(
|
||||
Object.entries(inputValues).filter(
|
||||
([, v]) => v !== undefined && v !== null && v !== "",
|
||||
),
|
||||
);
|
||||
onSend(
|
||||
`Run the block with these inputs: ${JSON.stringify(nonEmpty, null, 2)}`,
|
||||
);
|
||||
setShowInputForm(false);
|
||||
setInputValues({});
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="grid gap-2">
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
|
||||
{credentialFields.length > 0 && (
|
||||
<div className="rounded-2xl border bg-background p-3">
|
||||
<CredentialsGroupedView
|
||||
credentialFields={credentialFields}
|
||||
requiredCredentials={requiredCredentials}
|
||||
inputCredentials={inputCredentials}
|
||||
inputValues={{}}
|
||||
onCredentialChange={handleCredentialChange}
|
||||
/>
|
||||
{isAllCredentialsComplete && !hasSentCredentials && (
|
||||
<Button
|
||||
variant="primary"
|
||||
size="small"
|
||||
className="mt-3 w-full"
|
||||
onClick={handleProceedCredentials}
|
||||
>
|
||||
Proceed
|
||||
</Button>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{inputSchema && (
|
||||
<div className="flex gap-2 pt-2">
|
||||
<Button
|
||||
variant="outline"
|
||||
size="small"
|
||||
className="w-fit"
|
||||
onClick={() => setShowInputForm((prev) => !prev)}
|
||||
>
|
||||
{showInputForm ? "Hide inputs" : "Fill in inputs"}
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
|
||||
<AnimatePresence initial={false}>
|
||||
{showInputForm && inputSchema && (
|
||||
<motion.div
|
||||
initial={{ height: 0, opacity: 0, filter: "blur(6px)" }}
|
||||
animate={{ height: "auto", opacity: 1, filter: "blur(0px)" }}
|
||||
exit={{ height: 0, opacity: 0, filter: "blur(6px)" }}
|
||||
transition={{
|
||||
height: { type: "spring", bounce: 0.15, duration: 0.5 },
|
||||
opacity: { duration: 0.25 },
|
||||
filter: { duration: 0.2 },
|
||||
}}
|
||||
className="overflow-hidden"
|
||||
style={{ willChange: "height, opacity, filter" }}
|
||||
>
|
||||
<div className="rounded-2xl border bg-background p-3 pt-4">
|
||||
<Text variant="body-medium">Block inputs</Text>
|
||||
<FormRenderer
|
||||
jsonSchema={inputSchema}
|
||||
handleChange={(v) => setInputValues(v.formData ?? {})}
|
||||
uiSchema={{
|
||||
"ui:submitButtonOptions": { norender: true },
|
||||
}}
|
||||
initialValues={inputValues}
|
||||
formContext={{
|
||||
showHandles: false,
|
||||
size: "small",
|
||||
}}
|
||||
/>
|
||||
<div className="-mt-8 flex gap-2">
|
||||
<Button
|
||||
variant="primary"
|
||||
size="small"
|
||||
className="w-fit"
|
||||
onClick={handleRunWithInputs}
|
||||
>
|
||||
Run
|
||||
</Button>
|
||||
<Button
|
||||
variant="secondary"
|
||||
size="small"
|
||||
className="w-fit"
|
||||
onClick={() => {
|
||||
setShowInputForm(false);
|
||||
setInputValues({});
|
||||
}}
|
||||
>
|
||||
Cancel
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
</motion.div>
|
||||
)}
|
||||
</AnimatePresence>
|
||||
|
||||
{expectedInputs.length > 0 && !inputSchema && (
|
||||
<div className="rounded-2xl border bg-background p-3">
|
||||
<ContentCardTitle className="text-xs">
|
||||
Expected inputs
|
||||
</ContentCardTitle>
|
||||
<div className="mt-2 grid gap-2">
|
||||
{expectedInputs.map((input) => (
|
||||
<div key={input.name} className="rounded-xl border p-2">
|
||||
<div className="flex items-center justify-between gap-2">
|
||||
<ContentCardTitle className="text-xs">
|
||||
{input.title}
|
||||
</ContentCardTitle>
|
||||
<ContentBadge>
|
||||
{input.required ? "Required" : "Optional"}
|
||||
</ContentBadge>
|
||||
</div>
|
||||
<ContentCardDescription className="mt-1">
|
||||
{input.name} • {input.type}
|
||||
{input.description ? ` \u2022 ${input.description}` : ""}
|
||||
</ContentCardDescription>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,156 +0,0 @@
|
||||
import type { CredentialField } from "@/components/contextual/CredentialsInput/components/CredentialsGroupedView/helpers";
|
||||
import type { RJSFSchema } from "@rjsf/utils";
|
||||
|
||||
const VALID_CREDENTIAL_TYPES = new Set([
|
||||
"api_key",
|
||||
"oauth2",
|
||||
"user_password",
|
||||
"host_scoped",
|
||||
]);
|
||||
|
||||
export function coerceCredentialFields(rawMissingCredentials: unknown): {
|
||||
credentialFields: CredentialField[];
|
||||
requiredCredentials: Set<string>;
|
||||
} {
|
||||
const missing =
|
||||
rawMissingCredentials && typeof rawMissingCredentials === "object"
|
||||
? (rawMissingCredentials as Record<string, unknown>)
|
||||
: {};
|
||||
|
||||
const credentialFields: CredentialField[] = [];
|
||||
const requiredCredentials = new Set<string>();
|
||||
|
||||
Object.entries(missing).forEach(([key, value]) => {
|
||||
if (!value || typeof value !== "object") return;
|
||||
const cred = value as Record<string, unknown>;
|
||||
|
||||
const provider =
|
||||
typeof cred.provider === "string" ? cred.provider.trim() : "";
|
||||
if (!provider) return;
|
||||
|
||||
const types =
|
||||
Array.isArray(cred.types) && cred.types.length > 0
|
||||
? cred.types
|
||||
: typeof cred.type === "string"
|
||||
? [cred.type]
|
||||
: [];
|
||||
|
||||
const credentialTypes = types
|
||||
.map((t) => (typeof t === "string" ? t.trim() : ""))
|
||||
.filter((t) => VALID_CREDENTIAL_TYPES.has(t));
|
||||
|
||||
if (credentialTypes.length === 0) return;
|
||||
|
||||
const scopes = Array.isArray(cred.scopes)
|
||||
? cred.scopes.filter((s): s is string => typeof s === "string")
|
||||
: undefined;
|
||||
|
||||
const schema = {
|
||||
type: "object" as const,
|
||||
properties: {},
|
||||
credentials_provider: [provider],
|
||||
credentials_types: credentialTypes,
|
||||
credentials_scopes: scopes,
|
||||
};
|
||||
|
||||
credentialFields.push([key, schema]);
|
||||
requiredCredentials.add(key);
|
||||
});
|
||||
|
||||
return { credentialFields, requiredCredentials };
|
||||
}
|
||||
|
||||
export function coerceExpectedInputs(rawInputs: unknown): Array<{
|
||||
name: string;
|
||||
title: string;
|
||||
type: string;
|
||||
description?: string;
|
||||
required: boolean;
|
||||
}> {
|
||||
if (!Array.isArray(rawInputs)) return [];
|
||||
const results: Array<{
|
||||
name: string;
|
||||
title: string;
|
||||
type: string;
|
||||
description?: string;
|
||||
required: boolean;
|
||||
}> = [];
|
||||
|
||||
rawInputs.forEach((value, index) => {
|
||||
if (!value || typeof value !== "object") return;
|
||||
const input = value as Record<string, unknown>;
|
||||
|
||||
const name =
|
||||
typeof input.name === "string" && input.name.trim()
|
||||
? input.name.trim()
|
||||
: `input-${index}`;
|
||||
const title =
|
||||
typeof input.title === "string" && input.title.trim()
|
||||
? input.title.trim()
|
||||
: name;
|
||||
const type = typeof input.type === "string" ? input.type : "unknown";
|
||||
const description =
|
||||
typeof input.description === "string" && input.description.trim()
|
||||
? input.description.trim()
|
||||
: undefined;
|
||||
const required = Boolean(input.required);
|
||||
|
||||
const item: {
|
||||
name: string;
|
||||
title: string;
|
||||
type: string;
|
||||
description?: string;
|
||||
required: boolean;
|
||||
} = { name, title, type, required };
|
||||
if (description) item.description = description;
|
||||
results.push(item);
|
||||
});
|
||||
|
||||
return results;
|
||||
}
|
||||
|
||||
/**
|
||||
* Build an RJSF schema from expected inputs so they can be rendered
|
||||
* as a dynamic form via FormRenderer.
|
||||
*/
|
||||
export function buildExpectedInputsSchema(
|
||||
expectedInputs: Array<{
|
||||
name: string;
|
||||
title: string;
|
||||
type: string;
|
||||
description?: string;
|
||||
required: boolean;
|
||||
}>,
|
||||
): RJSFSchema | null {
|
||||
if (expectedInputs.length === 0) return null;
|
||||
|
||||
const TYPE_MAP: Record<string, string> = {
|
||||
string: "string",
|
||||
str: "string",
|
||||
text: "string",
|
||||
number: "number",
|
||||
int: "integer",
|
||||
integer: "integer",
|
||||
float: "number",
|
||||
boolean: "boolean",
|
||||
bool: "boolean",
|
||||
};
|
||||
|
||||
const properties: Record<string, Record<string, unknown>> = {};
|
||||
const required: string[] = [];
|
||||
|
||||
for (const input of expectedInputs) {
|
||||
properties[input.name] = {
|
||||
type: TYPE_MAP[input.type.toLowerCase()] ?? "string",
|
||||
title: input.title,
|
||||
...(input.description ? { description: input.description } : {}),
|
||||
};
|
||||
if (input.required) required.push(input.name);
|
||||
}
|
||||
|
||||
return {
|
||||
type: "object",
|
||||
properties,
|
||||
...(required.length > 0 ? { required } : {}),
|
||||
};
|
||||
}
|
||||
@@ -1,185 +0,0 @@
|
||||
import type { BlockOutputResponse } from "@/app/api/__generated__/models/blockOutputResponse";
|
||||
import type { ErrorResponse } from "@/app/api/__generated__/models/errorResponse";
|
||||
import { ResponseType } from "@/app/api/__generated__/models/responseType";
|
||||
import type { SetupRequirementsResponse } from "@/app/api/__generated__/models/setupRequirementsResponse";
|
||||
import {
|
||||
PlayCircleIcon,
|
||||
PlayIcon,
|
||||
WarningDiamondIcon,
|
||||
} from "@phosphor-icons/react";
|
||||
import type { ToolUIPart } from "ai";
|
||||
import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
|
||||
|
||||
export interface RunBlockInput {
|
||||
block_id?: string;
|
||||
input_data?: Record<string, unknown>;
|
||||
}
|
||||
|
||||
export type RunBlockToolOutput =
|
||||
| SetupRequirementsResponse
|
||||
| BlockOutputResponse
|
||||
| ErrorResponse;
|
||||
|
||||
const RUN_BLOCK_OUTPUT_TYPES = new Set<string>([
|
||||
ResponseType.setup_requirements,
|
||||
ResponseType.block_output,
|
||||
ResponseType.error,
|
||||
]);
|
||||
|
||||
export function isRunBlockSetupRequirementsOutput(
|
||||
output: RunBlockToolOutput,
|
||||
): output is SetupRequirementsResponse {
|
||||
return (
|
||||
output.type === ResponseType.setup_requirements ||
|
||||
("setup_info" in output && typeof output.setup_info === "object")
|
||||
);
|
||||
}
|
||||
|
||||
export function isRunBlockBlockOutput(
|
||||
output: RunBlockToolOutput,
|
||||
): output is BlockOutputResponse {
|
||||
return output.type === ResponseType.block_output || "block_id" in output;
|
||||
}
|
||||
|
||||
export function isRunBlockErrorOutput(
|
||||
output: RunBlockToolOutput,
|
||||
): output is ErrorResponse {
|
||||
return output.type === ResponseType.error || "error" in output;
|
||||
}
|
||||
|
||||
function parseOutput(output: unknown): RunBlockToolOutput | null {
|
||||
if (!output) return null;
|
||||
if (typeof output === "string") {
|
||||
const trimmed = output.trim();
|
||||
if (!trimmed) return null;
|
||||
try {
|
||||
return parseOutput(JSON.parse(trimmed) as unknown);
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (typeof output === "object") {
|
||||
const type = (output as { type?: unknown }).type;
|
||||
if (typeof type === "string" && RUN_BLOCK_OUTPUT_TYPES.has(type)) {
|
||||
return output as RunBlockToolOutput;
|
||||
}
|
||||
if ("block_id" in output) return output as BlockOutputResponse;
|
||||
if ("setup_info" in output) return output as SetupRequirementsResponse;
|
||||
if ("error" in output || "details" in output)
|
||||
return output as ErrorResponse;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function getRunBlockToolOutput(
|
||||
part: unknown,
|
||||
): RunBlockToolOutput | null {
|
||||
if (!part || typeof part !== "object") return null;
|
||||
return parseOutput((part as { output?: unknown }).output);
|
||||
}
|
||||
|
||||
export function getAnimationText(part: {
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}): string {
|
||||
const input = part.input as RunBlockInput | undefined;
|
||||
const blockId = input?.block_id?.trim();
|
||||
const blockText = blockId ? ` "${blockId}"` : "";
|
||||
|
||||
switch (part.state) {
|
||||
case "input-streaming":
|
||||
case "input-available":
|
||||
return `Running the block${blockText}`;
|
||||
case "output-available": {
|
||||
const output = parseOutput(part.output);
|
||||
if (!output) return `Running the block${blockText}`;
|
||||
if (isRunBlockBlockOutput(output)) return `Ran "${output.block_name}"`;
|
||||
if (isRunBlockSetupRequirementsOutput(output)) {
|
||||
return `Setup needed for "${output.setup_info.agent_name}"`;
|
||||
}
|
||||
return "Error running block";
|
||||
}
|
||||
case "output-error":
|
||||
return "Error running block";
|
||||
default:
|
||||
return "Running the block";
|
||||
}
|
||||
}
|
||||
|
||||
export function ToolIcon({
|
||||
isStreaming,
|
||||
isError,
|
||||
}: {
|
||||
isStreaming?: boolean;
|
||||
isError?: boolean;
|
||||
}) {
|
||||
if (isError) {
|
||||
return (
|
||||
<WarningDiamondIcon size={14} weight="regular" className="text-red-500" />
|
||||
);
|
||||
}
|
||||
if (isStreaming) {
|
||||
return <OrbitLoader size={24} />;
|
||||
}
|
||||
return <PlayIcon size={14} weight="regular" className="text-neutral-400" />;
|
||||
}
|
||||
|
||||
export function AccordionIcon() {
|
||||
return <PlayCircleIcon size={32} weight="light" />;
|
||||
}
|
||||
|
||||
export function formatMaybeJson(value: unknown): string {
|
||||
if (typeof value === "string") return value;
|
||||
try {
|
||||
return JSON.stringify(value, null, 2);
|
||||
} catch {
|
||||
return String(value);
|
||||
}
|
||||
}
|
||||
|
||||
export function getAccordionMeta(output: RunBlockToolOutput): {
|
||||
icon: React.ReactNode;
|
||||
title: string;
|
||||
titleClassName?: string;
|
||||
description?: string;
|
||||
} {
|
||||
const icon = <AccordionIcon />;
|
||||
|
||||
if (isRunBlockBlockOutput(output)) {
|
||||
const keys = Object.keys(output.outputs ?? {});
|
||||
return {
|
||||
icon: <OrbitLoader size={24} className="text-neutral-700" />,
|
||||
title: output.block_name,
|
||||
description:
|
||||
keys.length > 0
|
||||
? `${keys.length} output key${keys.length === 1 ? "" : "s"}`
|
||||
: output.message,
|
||||
};
|
||||
}
|
||||
|
||||
if (isRunBlockSetupRequirementsOutput(output)) {
|
||||
const missingCredsCount = Object.keys(
|
||||
(output.setup_info.user_readiness?.missing_credentials ?? {}) as Record<
|
||||
string,
|
||||
unknown
|
||||
>,
|
||||
).length;
|
||||
return {
|
||||
icon,
|
||||
title: output.setup_info.agent_name,
|
||||
description:
|
||||
missingCredsCount > 0
|
||||
? `Missing ${missingCredsCount} credential${missingCredsCount === 1 ? "" : "s"}`
|
||||
: output.message,
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
icon: (
|
||||
<WarningDiamondIcon size={32} weight="light" className="text-red-500" />
|
||||
),
|
||||
title: "Error",
|
||||
titleClassName: "text-red-500",
|
||||
};
|
||||
}
|
||||
@@ -1,186 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import type { ToolUIPart } from "ai";
|
||||
import { useMemo } from "react";
|
||||
|
||||
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
|
||||
import {
|
||||
ContentCard,
|
||||
ContentCardDescription,
|
||||
ContentCardHeader,
|
||||
ContentCardSubtitle,
|
||||
ContentCardTitle,
|
||||
ContentGrid,
|
||||
ContentLink,
|
||||
ContentMessage,
|
||||
ContentSuggestionsList,
|
||||
} from "../../components/ToolAccordion/AccordionContent";
|
||||
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
|
||||
import {
|
||||
AccordionIcon,
|
||||
getAnimationText,
|
||||
getDocsToolOutput,
|
||||
getDocsToolTitle,
|
||||
getToolLabel,
|
||||
isDocPageOutput,
|
||||
isDocSearchResultsOutput,
|
||||
isErrorOutput,
|
||||
isNoResultsOutput,
|
||||
toDocsUrl,
|
||||
ToolIcon,
|
||||
type DocsToolType,
|
||||
} from "./helpers";
|
||||
|
||||
export interface DocsToolPart {
|
||||
type: DocsToolType;
|
||||
toolCallId: string;
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}
|
||||
|
||||
interface Props {
|
||||
part: DocsToolPart;
|
||||
}
|
||||
|
||||
function truncate(text: string, maxChars: number): string {
|
||||
const trimmed = text.trim();
|
||||
if (trimmed.length <= maxChars) return trimmed;
|
||||
return `${trimmed.slice(0, maxChars).trimEnd()}…`;
|
||||
}
|
||||
|
||||
export function SearchDocsTool({ part }: Props) {
|
||||
const output = getDocsToolOutput(part);
|
||||
const text = getAnimationText(part);
|
||||
const isStreaming =
|
||||
part.state === "input-streaming" || part.state === "input-available";
|
||||
const isError =
|
||||
part.state === "output-error" || (!!output && isErrorOutput(output));
|
||||
|
||||
const normalized = useMemo(() => {
|
||||
if (!output) return null;
|
||||
const title = getDocsToolTitle(part.type, output);
|
||||
const label = getToolLabel(part.type);
|
||||
return { title, label };
|
||||
}, [output, part.type]);
|
||||
|
||||
const isOutputAvailable = part.state === "output-available" && !!output;
|
||||
|
||||
const docSearchOutput =
|
||||
isOutputAvailable && output && isDocSearchResultsOutput(output)
|
||||
? output
|
||||
: null;
|
||||
const docPageOutput =
|
||||
isOutputAvailable && output && isDocPageOutput(output) ? output : null;
|
||||
const noResultsOutput =
|
||||
isOutputAvailable && output && isNoResultsOutput(output) ? output : null;
|
||||
const errorOutput =
|
||||
isOutputAvailable && output && isErrorOutput(output) ? output : null;
|
||||
|
||||
const hasExpandableContent =
|
||||
isOutputAvailable &&
|
||||
((!!docSearchOutput && docSearchOutput.count > 0) ||
|
||||
!!docPageOutput ||
|
||||
!!noResultsOutput ||
|
||||
!!errorOutput);
|
||||
|
||||
const accordionDescription =
|
||||
hasExpandableContent && docSearchOutput
|
||||
? `Found ${docSearchOutput.count} result${docSearchOutput.count === 1 ? "" : "s"} for "${docSearchOutput.query}"`
|
||||
: hasExpandableContent && docPageOutput
|
||||
? docPageOutput.path
|
||||
: hasExpandableContent && (noResultsOutput || errorOutput)
|
||||
? ((noResultsOutput ?? errorOutput)?.message ?? null)
|
||||
: null;
|
||||
|
||||
return (
|
||||
<div className="py-2">
|
||||
<div className="flex items-center gap-2 text-sm text-muted-foreground">
|
||||
<ToolIcon
|
||||
toolType={part.type}
|
||||
isStreaming={isStreaming}
|
||||
isError={isError}
|
||||
/>
|
||||
<MorphingTextAnimation
|
||||
text={text}
|
||||
className={isError ? "text-red-500" : undefined}
|
||||
/>
|
||||
</div>
|
||||
|
||||
{hasExpandableContent && normalized && (
|
||||
<ToolAccordion
|
||||
icon={<AccordionIcon toolType={part.type} />}
|
||||
title={normalized.title}
|
||||
description={accordionDescription}
|
||||
>
|
||||
{docSearchOutput && (
|
||||
<ContentGrid>
|
||||
{docSearchOutput.results.map((r) => {
|
||||
const href = r.doc_url ?? toDocsUrl(r.path);
|
||||
return (
|
||||
<ContentCard key={r.path}>
|
||||
<ContentCardHeader
|
||||
action={<ContentLink href={href}>Open</ContentLink>}
|
||||
>
|
||||
<ContentCardTitle>{r.title}</ContentCardTitle>
|
||||
<ContentCardSubtitle>
|
||||
{r.path}
|
||||
{r.section ? ` • ${r.section}` : ""}
|
||||
</ContentCardSubtitle>
|
||||
<ContentCardDescription>
|
||||
{truncate(r.snippet, 240)}
|
||||
</ContentCardDescription>
|
||||
</ContentCardHeader>
|
||||
</ContentCard>
|
||||
);
|
||||
})}
|
||||
</ContentGrid>
|
||||
)}
|
||||
|
||||
{docPageOutput && (
|
||||
<div>
|
||||
<ContentCardHeader
|
||||
action={
|
||||
<ContentLink
|
||||
href={
|
||||
docPageOutput.doc_url ?? toDocsUrl(docPageOutput.path)
|
||||
}
|
||||
>
|
||||
Open
|
||||
</ContentLink>
|
||||
}
|
||||
>
|
||||
<ContentCardTitle>{docPageOutput.title}</ContentCardTitle>
|
||||
<ContentCardSubtitle>{docPageOutput.path}</ContentCardSubtitle>
|
||||
</ContentCardHeader>
|
||||
<ContentCardDescription className="whitespace-pre-wrap">
|
||||
{truncate(docPageOutput.content, 800)}
|
||||
</ContentCardDescription>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{noResultsOutput && (
|
||||
<div>
|
||||
<ContentMessage>{noResultsOutput.message}</ContentMessage>
|
||||
{noResultsOutput.suggestions &&
|
||||
noResultsOutput.suggestions.length > 0 && (
|
||||
<ContentSuggestionsList items={noResultsOutput.suggestions} />
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
|
||||
{errorOutput && (
|
||||
<div>
|
||||
<ContentMessage>{errorOutput.message}</ContentMessage>
|
||||
{errorOutput.error && (
|
||||
<ContentCardDescription>
|
||||
{errorOutput.error}
|
||||
</ContentCardDescription>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</ToolAccordion>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,215 +0,0 @@
|
||||
import type { DocPageResponse } from "@/app/api/__generated__/models/docPageResponse";
|
||||
import type { DocSearchResultsResponse } from "@/app/api/__generated__/models/docSearchResultsResponse";
|
||||
import type { ErrorResponse } from "@/app/api/__generated__/models/errorResponse";
|
||||
import type { NoResultsResponse } from "@/app/api/__generated__/models/noResultsResponse";
|
||||
import { ResponseType } from "@/app/api/__generated__/models/responseType";
|
||||
import {
|
||||
ArticleIcon,
|
||||
FileMagnifyingGlassIcon,
|
||||
FileTextIcon,
|
||||
} from "@phosphor-icons/react";
|
||||
import { ToolUIPart } from "ai";
|
||||
|
||||
export interface SearchDocsInput {
|
||||
query: string;
|
||||
}
|
||||
|
||||
export interface GetDocPageInput {
|
||||
path: string;
|
||||
}
|
||||
|
||||
export type DocsToolOutput =
|
||||
| DocSearchResultsResponse
|
||||
| DocPageResponse
|
||||
| NoResultsResponse
|
||||
| ErrorResponse;
|
||||
|
||||
export type DocsToolType = "tool-search_docs" | "tool-get_doc_page" | string;
|
||||
|
||||
export function getToolLabel(toolType: DocsToolType): string {
|
||||
switch (toolType) {
|
||||
case "tool-search_docs":
|
||||
return "Docs";
|
||||
case "tool-get_doc_page":
|
||||
return "Docs page";
|
||||
default:
|
||||
return "Docs";
|
||||
}
|
||||
}
|
||||
|
||||
function parseOutput(output: unknown): DocsToolOutput | null {
|
||||
if (!output) return null;
|
||||
if (typeof output === "string") {
|
||||
const trimmed = output.trim();
|
||||
if (!trimmed) return null;
|
||||
try {
|
||||
return parseOutput(JSON.parse(trimmed) as unknown);
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (typeof output === "object") {
|
||||
const type = (output as { type?: unknown }).type;
|
||||
if (
|
||||
type === ResponseType.doc_search_results ||
|
||||
type === ResponseType.doc_page ||
|
||||
type === ResponseType.no_results ||
|
||||
type === ResponseType.error
|
||||
) {
|
||||
return output as DocsToolOutput;
|
||||
}
|
||||
if ("results" in output && "query" in output)
|
||||
return output as DocSearchResultsResponse;
|
||||
if ("content" in output && "path" in output)
|
||||
return output as DocPageResponse;
|
||||
if ("suggestions" in output && !("error" in output))
|
||||
return output as NoResultsResponse;
|
||||
if ("error" in output || "details" in output)
|
||||
return output as ErrorResponse;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function getDocsToolOutput(part: unknown): DocsToolOutput | null {
|
||||
if (!part || typeof part !== "object") return null;
|
||||
return parseOutput((part as { output?: unknown }).output);
|
||||
}
|
||||
|
||||
export function isDocSearchResultsOutput(
|
||||
output: DocsToolOutput,
|
||||
): output is DocSearchResultsResponse {
|
||||
return output.type === ResponseType.doc_search_results || "results" in output;
|
||||
}
|
||||
|
||||
export function isDocPageOutput(
|
||||
output: DocsToolOutput,
|
||||
): output is DocPageResponse {
|
||||
return output.type === ResponseType.doc_page || "content" in output;
|
||||
}
|
||||
|
||||
export function isNoResultsOutput(
|
||||
output: DocsToolOutput,
|
||||
): output is NoResultsResponse {
|
||||
return (
|
||||
output.type === ResponseType.no_results ||
|
||||
("suggestions" in output && !("error" in output))
|
||||
);
|
||||
}
|
||||
|
||||
export function isErrorOutput(output: DocsToolOutput): output is ErrorResponse {
|
||||
return output.type === ResponseType.error || "error" in output;
|
||||
}
|
||||
|
||||
export function getDocsToolTitle(
|
||||
toolType: DocsToolType,
|
||||
output: DocsToolOutput,
|
||||
): string {
|
||||
if (toolType === "tool-search_docs") {
|
||||
if (isDocSearchResultsOutput(output)) return "Documentation results";
|
||||
if (isNoResultsOutput(output)) return "No documentation found";
|
||||
return "Documentation search error";
|
||||
}
|
||||
|
||||
if (isDocPageOutput(output)) return "Documentation page";
|
||||
if (isNoResultsOutput(output)) return "No documentation found";
|
||||
return "Documentation page error";
|
||||
}
|
||||
|
||||
export function getAnimationText(part: {
|
||||
type: DocsToolType;
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}): string {
|
||||
switch (part.type) {
|
||||
case "tool-search_docs": {
|
||||
const query = (part.input as SearchDocsInput | undefined)?.query?.trim();
|
||||
const queryText = query ? ` for "${query}"` : "";
|
||||
|
||||
switch (part.state) {
|
||||
case "input-streaming":
|
||||
case "input-available":
|
||||
return `Searching documentation${queryText}`;
|
||||
case "output-available": {
|
||||
const output = parseOutput(part.output);
|
||||
if (!output) return `Searching documentation${queryText}`;
|
||||
if (isDocSearchResultsOutput(output)) {
|
||||
const count = output.count ?? output.results.length;
|
||||
return `Found ${count} result${count === 1 ? "" : "s"}${queryText}`;
|
||||
}
|
||||
if (isNoResultsOutput(output)) {
|
||||
return `No results found${queryText}`;
|
||||
}
|
||||
return `Error searching documentation${queryText}`;
|
||||
}
|
||||
case "output-error":
|
||||
return `Error searching documentation${queryText}`;
|
||||
default:
|
||||
return "Searching documentation";
|
||||
}
|
||||
}
|
||||
case "tool-get_doc_page": {
|
||||
const path = (part.input as GetDocPageInput | undefined)?.path?.trim();
|
||||
const pathText = path ? ` "${path}"` : "";
|
||||
|
||||
switch (part.state) {
|
||||
case "input-streaming":
|
||||
case "input-available":
|
||||
return `Loading documentation page${pathText}`;
|
||||
case "output-available": {
|
||||
const output = parseOutput(part.output);
|
||||
if (!output) return `Loading documentation page${pathText}`;
|
||||
if (isDocPageOutput(output)) return `Loaded "${output.title}"`;
|
||||
if (isNoResultsOutput(output)) return "Documentation page not found";
|
||||
return "Error loading documentation page";
|
||||
}
|
||||
case "output-error":
|
||||
return "Error loading documentation page";
|
||||
default:
|
||||
return "Loading documentation page";
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return "Processing";
|
||||
}
|
||||
|
||||
export function ToolIcon({
|
||||
toolType,
|
||||
isStreaming,
|
||||
isError,
|
||||
}: {
|
||||
toolType: DocsToolType;
|
||||
isStreaming?: boolean;
|
||||
isError?: boolean;
|
||||
}) {
|
||||
const IconComponent =
|
||||
toolType === "tool-get_doc_page" ? FileTextIcon : FileMagnifyingGlassIcon;
|
||||
|
||||
return (
|
||||
<IconComponent
|
||||
size={14}
|
||||
weight="regular"
|
||||
className={
|
||||
isError
|
||||
? "text-red-500"
|
||||
: isStreaming
|
||||
? "text-neutral-500"
|
||||
: "text-neutral-400"
|
||||
}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
export function AccordionIcon({ toolType }: { toolType: DocsToolType }) {
|
||||
const IconComponent =
|
||||
toolType === "tool-get_doc_page" ? ArticleIcon : FileTextIcon;
|
||||
return <IconComponent size={32} weight="light" />;
|
||||
}
|
||||
|
||||
export function toDocsUrl(path: string): string {
|
||||
const urlPath = path.includes(".")
|
||||
? path.slice(0, path.lastIndexOf("."))
|
||||
: path;
|
||||
return `https://docs.agpt.co/${urlPath}`;
|
||||
}
|
||||
@@ -1,261 +0,0 @@
|
||||
"use client";
|
||||
|
||||
import type { ToolUIPart } from "ai";
|
||||
import React from "react";
|
||||
import { getGetWorkspaceDownloadFileByIdUrl } from "@/app/api/__generated__/endpoints/workspace/workspace";
|
||||
import {
|
||||
globalRegistry,
|
||||
OutputItem,
|
||||
} from "@/components/contextual/OutputRenderers";
|
||||
import type { OutputMetadata } from "@/components/contextual/OutputRenderers";
|
||||
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
|
||||
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
|
||||
import {
|
||||
ContentBadge,
|
||||
ContentCard,
|
||||
ContentCardHeader,
|
||||
ContentCardSubtitle,
|
||||
ContentCardTitle,
|
||||
ContentCodeBlock,
|
||||
ContentGrid,
|
||||
ContentLink,
|
||||
ContentMessage,
|
||||
ContentSuggestionsList,
|
||||
} from "../../components/ToolAccordion/AccordionContent";
|
||||
import {
|
||||
formatMaybeJson,
|
||||
getAnimationText,
|
||||
getViewAgentOutputToolOutput,
|
||||
isAgentOutputResponse,
|
||||
isErrorResponse,
|
||||
isNoResultsResponse,
|
||||
AccordionIcon,
|
||||
ToolIcon,
|
||||
type ViewAgentOutputToolOutput,
|
||||
} from "./helpers";
|
||||
|
||||
export interface ViewAgentOutputToolPart {
|
||||
type: string;
|
||||
toolCallId: string;
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}
|
||||
|
||||
interface Props {
|
||||
part: ViewAgentOutputToolPart;
|
||||
}
|
||||
|
||||
function isWorkspaceRef(value: unknown): value is string {
|
||||
return typeof value === "string" && value.startsWith("workspace://");
|
||||
}
|
||||
|
||||
function resolveForRenderer(value: unknown): {
|
||||
value: unknown;
|
||||
metadata?: OutputMetadata;
|
||||
} {
|
||||
if (!isWorkspaceRef(value)) return { value };
|
||||
|
||||
const withoutPrefix = value.replace("workspace://", "");
|
||||
const fileId = withoutPrefix.split("#")[0];
|
||||
const apiPath = getGetWorkspaceDownloadFileByIdUrl(fileId);
|
||||
const url = `/api/proxy${apiPath}`;
|
||||
|
||||
const hashIndex = value.indexOf("#");
|
||||
const mimeHint =
|
||||
hashIndex !== -1 ? value.slice(hashIndex + 1) || undefined : undefined;
|
||||
|
||||
const metadata: OutputMetadata = {};
|
||||
if (mimeHint) {
|
||||
metadata.mimeType = mimeHint;
|
||||
if (mimeHint.startsWith("image/")) metadata.type = "image";
|
||||
else if (mimeHint.startsWith("video/")) metadata.type = "video";
|
||||
}
|
||||
|
||||
return { value: url, metadata };
|
||||
}
|
||||
|
||||
function RenderOutputValue({ value }: { value: unknown }) {
|
||||
const resolved = resolveForRenderer(value);
|
||||
const renderer = globalRegistry.getRenderer(
|
||||
resolved.value,
|
||||
resolved.metadata,
|
||||
);
|
||||
|
||||
if (renderer) {
|
||||
return (
|
||||
<OutputItem
|
||||
value={resolved.value}
|
||||
metadata={resolved.metadata}
|
||||
renderer={renderer}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
// Fallback for audio workspace refs
|
||||
if (
|
||||
isWorkspaceRef(value) &&
|
||||
resolved.metadata?.mimeType?.startsWith("audio/")
|
||||
) {
|
||||
return (
|
||||
<audio controls src={String(resolved.value)} className="mt-2 w-full" />
|
||||
);
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
function getAccordionMeta(output: ViewAgentOutputToolOutput): {
|
||||
icon: React.ReactNode;
|
||||
title: string;
|
||||
description?: string;
|
||||
} {
|
||||
const icon = <AccordionIcon />;
|
||||
|
||||
if (isAgentOutputResponse(output)) {
|
||||
const status = output.execution?.status;
|
||||
return {
|
||||
icon,
|
||||
title: output.agent_name,
|
||||
description: status ? `Status: ${status}` : output.message,
|
||||
};
|
||||
}
|
||||
if (isNoResultsResponse(output)) {
|
||||
return { icon, title: "No results" };
|
||||
}
|
||||
return { icon, title: "Error" };
|
||||
}
|
||||
|
||||
export function ViewAgentOutputTool({ part }: Props) {
|
||||
const text = getAnimationText(part);
|
||||
const isStreaming =
|
||||
part.state === "input-streaming" || part.state === "input-available";
|
||||
|
||||
const output = getViewAgentOutputToolOutput(part);
|
||||
const isError =
|
||||
part.state === "output-error" || (!!output && isErrorResponse(output));
|
||||
const hasExpandableContent =
|
||||
part.state === "output-available" &&
|
||||
!!output &&
|
||||
(isAgentOutputResponse(output) ||
|
||||
isNoResultsResponse(output) ||
|
||||
isErrorResponse(output));
|
||||
|
||||
return (
|
||||
<div className="py-2">
|
||||
<div className="flex items-center gap-2 text-sm text-muted-foreground">
|
||||
<ToolIcon isStreaming={isStreaming} isError={isError} />
|
||||
<MorphingTextAnimation
|
||||
text={text}
|
||||
className={isError ? "text-red-500" : undefined}
|
||||
/>
|
||||
</div>
|
||||
|
||||
{hasExpandableContent && output && (
|
||||
<ToolAccordion {...getAccordionMeta(output)}>
|
||||
{isAgentOutputResponse(output) && (
|
||||
<ContentGrid>
|
||||
<ContentCardHeader
|
||||
className="gap-3"
|
||||
action={
|
||||
output.library_agent_link ? (
|
||||
<ContentLink href={output.library_agent_link}>
|
||||
Open
|
||||
</ContentLink>
|
||||
) : null
|
||||
}
|
||||
>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
</ContentCardHeader>
|
||||
|
||||
{output.execution ? (
|
||||
<ContentGrid>
|
||||
<ContentCard>
|
||||
<ContentCardTitle className="text-xs">
|
||||
Execution
|
||||
</ContentCardTitle>
|
||||
<ContentCardSubtitle className="mt-1">
|
||||
{output.execution.execution_id}
|
||||
</ContentCardSubtitle>
|
||||
<ContentCardSubtitle className="mt-1">
|
||||
Status: {output.execution.status}
|
||||
</ContentCardSubtitle>
|
||||
</ContentCard>
|
||||
|
||||
{output.execution.inputs_summary && (
|
||||
<ContentCard>
|
||||
<ContentCardTitle className="text-xs">
|
||||
Inputs summary
|
||||
</ContentCardTitle>
|
||||
<div className="mt-2">
|
||||
<RenderOutputValue
|
||||
value={output.execution.inputs_summary}
|
||||
/>
|
||||
</div>
|
||||
</ContentCard>
|
||||
)}
|
||||
|
||||
{Object.entries(output.execution.outputs ?? {}).map(
|
||||
([key, items]) => (
|
||||
<ContentCard key={key}>
|
||||
<div className="flex items-center justify-between gap-2">
|
||||
<ContentCardTitle className="text-xs">
|
||||
{key}
|
||||
</ContentCardTitle>
|
||||
<ContentBadge>
|
||||
{items.length} item
|
||||
{items.length === 1 ? "" : "s"}
|
||||
</ContentBadge>
|
||||
</div>
|
||||
<div className="mt-2">
|
||||
{items.slice(0, 3).map((item, i) => (
|
||||
<RenderOutputValue key={i} value={item} />
|
||||
))}
|
||||
</div>
|
||||
</ContentCard>
|
||||
),
|
||||
)}
|
||||
</ContentGrid>
|
||||
) : (
|
||||
<ContentCard>
|
||||
<ContentMessage>No execution selected.</ContentMessage>
|
||||
<ContentCardSubtitle className="mt-1">
|
||||
Try asking for a specific run or execution_id.
|
||||
</ContentCardSubtitle>
|
||||
</ContentCard>
|
||||
)}
|
||||
</ContentGrid>
|
||||
)}
|
||||
|
||||
{isNoResultsResponse(output) && (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
{output.suggestions && output.suggestions.length > 0 && (
|
||||
<ContentSuggestionsList
|
||||
items={output.suggestions}
|
||||
className="mt-1"
|
||||
/>
|
||||
)}
|
||||
</ContentGrid>
|
||||
)}
|
||||
|
||||
{isErrorResponse(output) && (
|
||||
<ContentGrid>
|
||||
<ContentMessage>{output.message}</ContentMessage>
|
||||
{output.error && (
|
||||
<ContentCodeBlock>
|
||||
{formatMaybeJson(output.error)}
|
||||
</ContentCodeBlock>
|
||||
)}
|
||||
{output.details && (
|
||||
<ContentCodeBlock>
|
||||
{formatMaybeJson(output.details)}
|
||||
</ContentCodeBlock>
|
||||
)}
|
||||
</ContentGrid>
|
||||
)}
|
||||
</ToolAccordion>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,158 +0,0 @@
|
||||
import type { AgentOutputResponse } from "@/app/api/__generated__/models/agentOutputResponse";
|
||||
import type { ErrorResponse } from "@/app/api/__generated__/models/errorResponse";
|
||||
import type { NoResultsResponse } from "@/app/api/__generated__/models/noResultsResponse";
|
||||
import { ResponseType } from "@/app/api/__generated__/models/responseType";
|
||||
import { EyeIcon, MonitorIcon } from "@phosphor-icons/react";
|
||||
import type { ToolUIPart } from "ai";
|
||||
|
||||
export interface ViewAgentOutputInput {
|
||||
agent_name?: string;
|
||||
library_agent_id?: string;
|
||||
store_slug?: string;
|
||||
execution_id?: string;
|
||||
run_time?: string;
|
||||
}
|
||||
|
||||
export type ViewAgentOutputToolOutput =
|
||||
| AgentOutputResponse
|
||||
| NoResultsResponse
|
||||
| ErrorResponse;
|
||||
|
||||
function parseOutput(output: unknown): ViewAgentOutputToolOutput | null {
|
||||
if (!output) return null;
|
||||
if (typeof output === "string") {
|
||||
const trimmed = output.trim();
|
||||
if (!trimmed) return null;
|
||||
try {
|
||||
return parseOutput(JSON.parse(trimmed) as unknown);
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (typeof output === "object") {
|
||||
const type = (output as { type?: unknown }).type;
|
||||
if (
|
||||
type === ResponseType.agent_output ||
|
||||
type === ResponseType.no_results ||
|
||||
type === ResponseType.error
|
||||
) {
|
||||
return output as ViewAgentOutputToolOutput;
|
||||
}
|
||||
if ("agent_id" in output && "agent_name" in output) {
|
||||
return output as AgentOutputResponse;
|
||||
}
|
||||
if ("suggestions" in output && !("error" in output)) {
|
||||
return output as NoResultsResponse;
|
||||
}
|
||||
if ("error" in output || "details" in output)
|
||||
return output as ErrorResponse;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function isAgentOutputResponse(
|
||||
output: ViewAgentOutputToolOutput,
|
||||
): output is AgentOutputResponse {
|
||||
return output.type === ResponseType.agent_output || "agent_id" in output;
|
||||
}
|
||||
|
||||
export function isNoResultsResponse(
|
||||
output: ViewAgentOutputToolOutput,
|
||||
): output is NoResultsResponse {
|
||||
return (
|
||||
output.type === ResponseType.no_results ||
|
||||
("suggestions" in output && !("error" in output))
|
||||
);
|
||||
}
|
||||
|
||||
export function isErrorResponse(
|
||||
output: ViewAgentOutputToolOutput,
|
||||
): output is ErrorResponse {
|
||||
return output.type === ResponseType.error || "error" in output;
|
||||
}
|
||||
|
||||
export function getViewAgentOutputToolOutput(
|
||||
part: unknown,
|
||||
): ViewAgentOutputToolOutput | null {
|
||||
if (!part || typeof part !== "object") return null;
|
||||
return parseOutput((part as { output?: unknown }).output);
|
||||
}
|
||||
|
||||
function getAgentIdentifierText(
|
||||
input: ViewAgentOutputInput | undefined,
|
||||
): string | null {
|
||||
if (!input) return null;
|
||||
const libraryId = input.library_agent_id?.trim();
|
||||
if (libraryId) return `Library agent ${libraryId}`;
|
||||
const slug = input.store_slug?.trim();
|
||||
if (slug) return slug;
|
||||
const name = input.agent_name?.trim();
|
||||
if (name) return name;
|
||||
return null;
|
||||
}
|
||||
|
||||
export function getAnimationText(part: {
|
||||
state: ToolUIPart["state"];
|
||||
input?: unknown;
|
||||
output?: unknown;
|
||||
}): string {
|
||||
const input = part.input as ViewAgentOutputInput | undefined;
|
||||
const agent = getAgentIdentifierText(input);
|
||||
const agentText = agent ? ` "${agent}"` : "";
|
||||
|
||||
switch (part.state) {
|
||||
case "input-streaming":
|
||||
case "input-available":
|
||||
return `Retrieving agent output${agentText}`;
|
||||
case "output-available": {
|
||||
const output = parseOutput(part.output);
|
||||
if (!output) return `Retrieving agent output${agentText}`;
|
||||
if (isAgentOutputResponse(output)) {
|
||||
if (output.execution)
|
||||
return `Retrieved output (${output.execution.status})`;
|
||||
return "Retrieved agent output";
|
||||
}
|
||||
if (isNoResultsResponse(output)) return "No outputs found";
|
||||
return "Error loading agent output";
|
||||
}
|
||||
case "output-error":
|
||||
return "Error loading agent output";
|
||||
default:
|
||||
return "Retrieving agent output";
|
||||
}
|
||||
}
|
||||
|
||||
export function ToolIcon({
|
||||
isStreaming,
|
||||
isError,
|
||||
}: {
|
||||
isStreaming?: boolean;
|
||||
isError?: boolean;
|
||||
}) {
|
||||
return (
|
||||
<EyeIcon
|
||||
size={14}
|
||||
weight="regular"
|
||||
className={
|
||||
isError
|
||||
? "text-red-500"
|
||||
: isStreaming
|
||||
? "text-neutral-500"
|
||||
: "text-neutral-400"
|
||||
}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
export function AccordionIcon() {
|
||||
return <MonitorIcon size={32} weight="light" />;
|
||||
}
|
||||
|
||||
export function formatMaybeJson(value: unknown): string {
|
||||
if (typeof value === "string") return value;
|
||||
try {
|
||||
return JSON.stringify(value, null, 2);
|
||||
} catch {
|
||||
return String(value);
|
||||
}
|
||||
}
|
||||
@@ -1,109 +0,0 @@
|
||||
import {
|
||||
getGetV2GetSessionQueryKey,
|
||||
getGetV2ListSessionsQueryKey,
|
||||
useGetV2GetSession,
|
||||
usePostV2CreateSession,
|
||||
} from "@/app/api/__generated__/endpoints/chat/chat";
|
||||
import { toast } from "@/components/molecules/Toast/use-toast";
|
||||
import * as Sentry from "@sentry/nextjs";
|
||||
import { useQueryClient } from "@tanstack/react-query";
|
||||
import { parseAsString, useQueryState } from "nuqs";
|
||||
import { useEffect, useMemo, useRef } from "react";
|
||||
import { convertChatSessionMessagesToUiMessages } from "./helpers/convertChatSessionToUiMessages";
|
||||
|
||||
export function useChatSession() {
|
||||
const [sessionId, setSessionId] = useQueryState("sessionId", parseAsString);
|
||||
const queryClient = useQueryClient();
|
||||
|
||||
const sessionQuery = useGetV2GetSession(sessionId ?? "", {
|
||||
query: {
|
||||
enabled: !!sessionId,
|
||||
staleTime: Infinity,
|
||||
refetchOnWindowFocus: false,
|
||||
refetchOnReconnect: false,
|
||||
},
|
||||
});
|
||||
|
||||
// When the user navigates away from a session, invalidate its query cache.
|
||||
// useChat destroys its Chat instance on id change, so messages are lost.
|
||||
// Invalidating ensures the next visit fetches fresh data from the API
|
||||
// instead of hydrating from stale cache that's missing recent messages.
|
||||
const prevSessionIdRef = useRef(sessionId);
|
||||
|
||||
useEffect(() => {
|
||||
const prev = prevSessionIdRef.current;
|
||||
prevSessionIdRef.current = sessionId;
|
||||
if (prev && prev !== sessionId) {
|
||||
queryClient.invalidateQueries({
|
||||
queryKey: getGetV2GetSessionQueryKey(prev),
|
||||
});
|
||||
}
|
||||
}, [sessionId, queryClient]);
|
||||
|
||||
// Memoize so the effect in useCopilotPage doesn't infinite-loop on a new
|
||||
// array reference every render. Re-derives only when query data changes.
|
||||
const hydratedMessages = useMemo(() => {
|
||||
if (sessionQuery.data?.status !== 200 || !sessionId) return undefined;
|
||||
return convertChatSessionMessagesToUiMessages(
|
||||
sessionId,
|
||||
sessionQuery.data.data.messages ?? [],
|
||||
);
|
||||
}, [sessionQuery.data, sessionId]);
|
||||
|
||||
const { mutateAsync: createSessionMutation, isPending: isCreatingSession } =
|
||||
usePostV2CreateSession({
|
||||
mutation: {
|
||||
onSuccess: (response) => {
|
||||
if (response.status === 200 && response.data?.id) {
|
||||
setSessionId(response.data.id);
|
||||
queryClient.invalidateQueries({
|
||||
queryKey: getGetV2ListSessionsQueryKey(),
|
||||
});
|
||||
}
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
async function createSession() {
|
||||
if (sessionId) return sessionId;
|
||||
try {
|
||||
const response = await createSessionMutation();
|
||||
if (response.status !== 200 || !response.data?.id) {
|
||||
const error = new Error("Failed to create session");
|
||||
Sentry.captureException(error, {
|
||||
extra: { status: response.status },
|
||||
});
|
||||
toast({
|
||||
variant: "destructive",
|
||||
title: "Could not start a new chat session",
|
||||
description: "Please try again.",
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
return response.data.id;
|
||||
} catch (error) {
|
||||
if (
|
||||
error instanceof Error &&
|
||||
error.message === "Failed to create session"
|
||||
) {
|
||||
throw error; // already handled above
|
||||
}
|
||||
Sentry.captureException(error);
|
||||
toast({
|
||||
variant: "destructive",
|
||||
title: "Could not start a new chat session",
|
||||
description: "Please try again.",
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
sessionId,
|
||||
setSessionId,
|
||||
hydratedMessages,
|
||||
isLoadingSession: sessionQuery.isLoading,
|
||||
createSession,
|
||||
isCreatingSession,
|
||||
};
|
||||
}
|
||||
@@ -1,142 +1,127 @@
|
||||
import { useGetV2ListSessions } from "@/app/api/__generated__/endpoints/chat/chat";
|
||||
import { useBreakpoint } from "@/lib/hooks/useBreakpoint";
|
||||
import {
|
||||
getGetV2ListSessionsQueryKey,
|
||||
postV2CreateSession,
|
||||
} from "@/app/api/__generated__/endpoints/chat/chat";
|
||||
import { useToast } from "@/components/molecules/Toast/use-toast";
|
||||
import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
|
||||
import { useChat } from "@ai-sdk/react";
|
||||
import { DefaultChatTransport } from "ai";
|
||||
import { useEffect, useMemo, useState } from "react";
|
||||
import { useChatSession } from "./useChatSession";
|
||||
import { useOnboarding } from "@/providers/onboarding/onboarding-provider";
|
||||
import { SessionKey, sessionStorage } from "@/services/storage/session-storage";
|
||||
import * as Sentry from "@sentry/nextjs";
|
||||
import { useQueryClient } from "@tanstack/react-query";
|
||||
import { useRouter } from "next/navigation";
|
||||
import { useEffect } from "react";
|
||||
import { useCopilotStore } from "./copilot-page-store";
|
||||
import { getGreetingName, getQuickActions } from "./helpers";
|
||||
import { useCopilotSessionId } from "./useCopilotSessionId";
|
||||
|
||||
export function useCopilotPage() {
|
||||
const { isUserLoading, isLoggedIn } = useSupabase();
|
||||
const [isDrawerOpen, setIsDrawerOpen] = useState(false);
|
||||
const [pendingMessage, setPendingMessage] = useState<string | null>(null);
|
||||
const router = useRouter();
|
||||
const queryClient = useQueryClient();
|
||||
const { user, isLoggedIn, isUserLoading } = useSupabase();
|
||||
const { toast } = useToast();
|
||||
const { completeStep } = useOnboarding();
|
||||
|
||||
const {
|
||||
sessionId,
|
||||
setSessionId,
|
||||
hydratedMessages,
|
||||
isLoadingSession,
|
||||
createSession,
|
||||
isCreatingSession,
|
||||
} = useChatSession();
|
||||
const { urlSessionId, setUrlSessionId } = useCopilotSessionId();
|
||||
const setIsStreaming = useCopilotStore((s) => s.setIsStreaming);
|
||||
const isCreating = useCopilotStore((s) => s.isCreatingSession);
|
||||
const setIsCreating = useCopilotStore((s) => s.setIsCreatingSession);
|
||||
|
||||
const breakpoint = useBreakpoint();
|
||||
const isMobile =
|
||||
breakpoint === "base" || breakpoint === "sm" || breakpoint === "md";
|
||||
const greetingName = getGreetingName(user);
|
||||
const quickActions = getQuickActions();
|
||||
|
||||
const transport = useMemo(
|
||||
() =>
|
||||
sessionId
|
||||
? new DefaultChatTransport({
|
||||
api: `/api/chat/sessions/${sessionId}/stream`,
|
||||
prepareSendMessagesRequest: ({ messages }) => {
|
||||
const last = messages[messages.length - 1];
|
||||
return {
|
||||
body: {
|
||||
message: (
|
||||
last.parts?.map((p) => (p.type === "text" ? p.text : "")) ??
|
||||
[]
|
||||
).join(""),
|
||||
is_user_message: last.role === "user",
|
||||
context: null,
|
||||
},
|
||||
};
|
||||
},
|
||||
})
|
||||
: null,
|
||||
[sessionId],
|
||||
);
|
||||
|
||||
const { messages, sendMessage, stop, status, error, setMessages } = useChat({
|
||||
id: sessionId ?? undefined,
|
||||
transport: transport ?? undefined,
|
||||
});
|
||||
const hasSession = Boolean(urlSessionId);
|
||||
const initialPrompt = urlSessionId
|
||||
? getInitialPrompt(urlSessionId)
|
||||
: undefined;
|
||||
|
||||
useEffect(() => {
|
||||
if (!hydratedMessages || hydratedMessages.length === 0) return;
|
||||
setMessages((prev) => {
|
||||
if (prev.length >= hydratedMessages.length) return prev;
|
||||
return hydratedMessages;
|
||||
});
|
||||
}, [hydratedMessages, setMessages]);
|
||||
if (isLoggedIn) completeStep("VISIT_COPILOT");
|
||||
}, [completeStep, isLoggedIn]);
|
||||
|
||||
// Clear messages when session is null
|
||||
useEffect(() => {
|
||||
if (!sessionId) setMessages([]);
|
||||
}, [sessionId, setMessages]);
|
||||
async function startChatWithPrompt(prompt: string) {
|
||||
if (!prompt?.trim()) return;
|
||||
if (isCreating) return;
|
||||
|
||||
useEffect(() => {
|
||||
if (!sessionId || !pendingMessage) return;
|
||||
const msg = pendingMessage;
|
||||
setPendingMessage(null);
|
||||
sendMessage({ text: msg });
|
||||
}, [sessionId, pendingMessage, sendMessage]);
|
||||
const trimmedPrompt = prompt.trim();
|
||||
setIsCreating(true);
|
||||
|
||||
async function onSend(message: string) {
|
||||
const trimmed = message.trim();
|
||||
if (!trimmed) return;
|
||||
try {
|
||||
const sessionResponse = await postV2CreateSession({
|
||||
body: JSON.stringify({}),
|
||||
});
|
||||
|
||||
if (sessionId) {
|
||||
sendMessage({ text: trimmed });
|
||||
return;
|
||||
if (sessionResponse.status !== 200 || !sessionResponse.data?.id) {
|
||||
throw new Error("Failed to create session");
|
||||
}
|
||||
|
||||
const sessionId = sessionResponse.data.id;
|
||||
setInitialPrompt(sessionId, trimmedPrompt);
|
||||
|
||||
await queryClient.invalidateQueries({
|
||||
queryKey: getGetV2ListSessionsQueryKey(),
|
||||
});
|
||||
|
||||
await setUrlSessionId(sessionId, { shallow: true });
|
||||
} catch (error) {
|
||||
console.error("[CopilotPage] Failed to start chat:", error);
|
||||
toast({ title: "Failed to start chat", variant: "destructive" });
|
||||
Sentry.captureException(error);
|
||||
} finally {
|
||||
setIsCreating(false);
|
||||
}
|
||||
|
||||
setPendingMessage(trimmed);
|
||||
await createSession();
|
||||
}
|
||||
|
||||
const { data: sessionsResponse, isLoading: isLoadingSessions } =
|
||||
useGetV2ListSessions(
|
||||
{ limit: 50 },
|
||||
{ query: { enabled: !isUserLoading && isLoggedIn } },
|
||||
);
|
||||
|
||||
const sessions =
|
||||
sessionsResponse?.status === 200 ? sessionsResponse.data.sessions : [];
|
||||
|
||||
function handleOpenDrawer() {
|
||||
setIsDrawerOpen(true);
|
||||
function handleQuickAction(action: string) {
|
||||
startChatWithPrompt(action);
|
||||
}
|
||||
|
||||
function handleCloseDrawer() {
|
||||
setIsDrawerOpen(false);
|
||||
function handleSessionNotFound() {
|
||||
router.replace("/copilot");
|
||||
}
|
||||
|
||||
function handleDrawerOpenChange(open: boolean) {
|
||||
setIsDrawerOpen(open);
|
||||
}
|
||||
|
||||
function handleSelectSession(id: string) {
|
||||
setSessionId(id);
|
||||
if (isMobile) setIsDrawerOpen(false);
|
||||
}
|
||||
|
||||
function handleNewChat() {
|
||||
setSessionId(null);
|
||||
if (isMobile) setIsDrawerOpen(false);
|
||||
function handleStreamingChange(isStreamingValue: boolean) {
|
||||
setIsStreaming(isStreamingValue);
|
||||
}
|
||||
|
||||
return {
|
||||
sessionId,
|
||||
messages,
|
||||
status,
|
||||
error,
|
||||
stop,
|
||||
isLoadingSession,
|
||||
isCreatingSession,
|
||||
isUserLoading,
|
||||
isLoggedIn,
|
||||
createSession,
|
||||
onSend,
|
||||
// Mobile drawer
|
||||
isMobile,
|
||||
isDrawerOpen,
|
||||
sessions,
|
||||
isLoadingSessions,
|
||||
handleOpenDrawer,
|
||||
handleCloseDrawer,
|
||||
handleDrawerOpenChange,
|
||||
handleSelectSession,
|
||||
handleNewChat,
|
||||
state: {
|
||||
greetingName,
|
||||
quickActions,
|
||||
isLoading: isUserLoading,
|
||||
hasSession,
|
||||
initialPrompt,
|
||||
},
|
||||
handlers: {
|
||||
handleQuickAction,
|
||||
startChatWithPrompt,
|
||||
handleSessionNotFound,
|
||||
handleStreamingChange,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
function getInitialPrompt(sessionId: string): string | undefined {
|
||||
try {
|
||||
const prompts = JSON.parse(
|
||||
sessionStorage.get(SessionKey.CHAT_INITIAL_PROMPTS) || "{}",
|
||||
);
|
||||
return prompts[sessionId];
|
||||
} catch {
|
||||
return undefined;
|
||||
}
|
||||
}
|
||||
|
||||
function setInitialPrompt(sessionId: string, prompt: string): void {
|
||||
try {
|
||||
const prompts = JSON.parse(
|
||||
sessionStorage.get(SessionKey.CHAT_INITIAL_PROMPTS) || "{}",
|
||||
);
|
||||
prompts[sessionId] = prompt;
|
||||
sessionStorage.set(
|
||||
SessionKey.CHAT_INITIAL_PROMPTS,
|
||||
JSON.stringify(prompts),
|
||||
);
|
||||
} catch {
|
||||
// Ignore storage errors
|
||||
}
|
||||
}
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user