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Author SHA1 Message Date
github-merge-queue[bot]
f2b24f700f Update frontend build based on commit 9c7c598c7d 2026-02-08 23:31:49 +00:00
373 changed files with 10900 additions and 14901 deletions

View File

@@ -22,7 +22,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
ref: ${{ github.event.workflow_run.head_branch }}
fetch-depth: 0
@@ -42,7 +42,7 @@ jobs:
- name: Get CI failure details
id: failure_details
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
const run = await github.rest.actions.getWorkflowRun({

View File

@@ -30,7 +30,7 @@ jobs:
actions: read # Required for CI access
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 1
@@ -41,7 +41,7 @@ jobs:
python-version: "3.11" # Use standard version matching CI
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
@@ -78,7 +78,7 @@ jobs:
# Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22"
@@ -91,7 +91,7 @@ jobs:
echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
- name: Cache frontend dependencies
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
@@ -124,7 +124,7 @@ jobs:
# Phase 1: Cache and load Docker images for faster setup
- name: Set up Docker image cache
id: docker-cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/docker-cache
# Use a versioned key for cache invalidation when image list changes

View File

@@ -40,7 +40,7 @@ jobs:
actions: read # Required for CI access
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 1
@@ -57,7 +57,7 @@ jobs:
python-version: "3.11" # Use standard version matching CI
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
@@ -94,7 +94,7 @@ jobs:
# Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22"
@@ -107,7 +107,7 @@ jobs:
echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
- name: Cache frontend dependencies
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
@@ -140,7 +140,7 @@ jobs:
# Phase 1: Cache and load Docker images for faster setup
- name: Set up Docker image cache
id: docker-cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/docker-cache
# Use a versioned key for cache invalidation when image list changes

View File

@@ -58,7 +58,7 @@ jobs:
# your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL

View File

@@ -27,7 +27,7 @@ jobs:
# If you do not check out your code, Copilot will do this for you.
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
@@ -39,7 +39,7 @@ jobs:
python-version: "3.11" # Use standard version matching CI
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
@@ -76,7 +76,7 @@ jobs:
# Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22"
@@ -89,7 +89,7 @@ jobs:
echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
- name: Cache frontend dependencies
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
@@ -132,7 +132,7 @@ jobs:
# Phase 1: Cache and load Docker images for faster setup
- name: Set up Docker image cache
id: docker-cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/docker-cache
# Use a versioned key for cache invalidation when image list changes

View File

@@ -23,7 +23,7 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 1
@@ -33,7 +33,7 @@ jobs:
python-version: "3.11"
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}

View File

@@ -23,7 +23,7 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 0
@@ -33,7 +33,7 @@ jobs:
python-version: "3.11"
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}

View File

@@ -28,7 +28,7 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 1
@@ -38,7 +38,7 @@ jobs:
python-version: "3.11"
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}

View File

@@ -25,7 +25,7 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
ref: ${{ github.event.inputs.git_ref || github.ref_name }}
@@ -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

View File

@@ -17,7 +17,7 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
ref: ${{ github.ref_name || 'master' }}
@@ -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

View File

@@ -68,7 +68,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
@@ -88,7 +88,7 @@ jobs:
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}

View File

@@ -17,7 +17,7 @@ jobs:
- name: Check comment permissions and deployment status
id: check_status
if: github.event_name == 'issue_comment' && github.event.issue.pull_request
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
const commentBody = context.payload.comment.body.trim();
@@ -55,7 +55,7 @@ jobs:
- name: Post permission denied comment
if: steps.check_status.outputs.permission_denied == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
await github.rest.issues.createComment({
@@ -68,7 +68,7 @@ jobs:
- name: Get PR details for deployment
id: pr_details
if: steps.check_status.outputs.should_deploy == 'true' || steps.check_status.outputs.should_undeploy == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
const pr = await github.rest.pulls.get({
@@ -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
@@ -98,7 +98,7 @@ jobs:
- name: Post deploy success comment
if: steps.check_status.outputs.should_deploy == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
await github.rest.issues.createComment({
@@ -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
@@ -126,7 +126,7 @@ jobs:
- name: Post undeploy success comment
if: steps.check_status.outputs.should_undeploy == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
await github.rest.issues.createComment({
@@ -139,7 +139,7 @@ jobs:
- name: Check deployment status on PR close
id: check_pr_close
if: github.event_name == 'pull_request' && github.event.action == 'closed'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
const comments = await github.rest.issues.listComments({
@@ -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
@@ -187,7 +187,7 @@ jobs:
github.event_name == 'pull_request' &&
github.event.action == 'closed' &&
steps.check_pr_close.outputs.should_undeploy == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
await github.rest.issues.createComment({

View File

@@ -31,7 +31,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Check for component changes
uses: dorny/paths-filter@v3
@@ -42,7 +42,7 @@ jobs:
- 'autogpt_platform/frontend/src/components/**'
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22.18.0"
@@ -54,7 +54,7 @@ jobs:
run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
- name: Cache dependencies
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ steps.cache-key.outputs.key }}
@@ -71,10 +71,10 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22.18.0"
@@ -82,7 +82,7 @@ jobs:
run: corepack enable
- name: Restore dependencies cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
@@ -107,12 +107,12 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22.18.0"
@@ -120,7 +120,7 @@ jobs:
run: corepack enable
- name: Restore dependencies cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
@@ -148,12 +148,12 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
submodules: recursive
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22.18.0"
@@ -176,7 +176,7 @@ jobs:
uses: docker/setup-buildx-action@v3
- name: Cache Docker layers
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-frontend-test-${{ hashFiles('autogpt_platform/docker-compose.yml', 'autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/pyproject.toml', 'autogpt_platform/backend/poetry.lock') }}
@@ -231,7 +231,7 @@ jobs:
fi
- name: Restore dependencies cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
@@ -277,12 +277,12 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
submodules: recursive
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22.18.0"
@@ -290,7 +290,7 @@ jobs:
run: corepack enable
- name: Restore dependencies cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}

View File

@@ -29,10 +29,10 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22.18.0"
@@ -44,7 +44,7 @@ jobs:
run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
- name: Cache dependencies
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ steps.cache-key.outputs.key }}
@@ -56,19 +56,19 @@ jobs:
run: pnpm install --frozen-lockfile
types:
runs-on: big-boi
runs-on: ubuntu-latest
needs: setup
strategy:
fail-fast: false
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
submodules: recursive
- name: Set up Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: "22.18.0"
@@ -85,10 +85,10 @@ 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
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}

View File

@@ -11,7 +11,7 @@ jobs:
steps:
# - name: Wait some time for all actions to start
# run: sleep 30
- uses: actions/checkout@v6
- uses: actions/checkout@v4
# with:
# fetch-depth: 0
- name: Set up Python

View File

@@ -99,101 +99,84 @@ files = [
[[package]]
name = "cffi"
version = "2.0.0"
version = "1.17.1"
description = "Foreign Function Interface for Python calling C code."
optional = false
python-versions = ">=3.9"
python-versions = ">=3.8"
groups = ["main"]
markers = "platform_python_implementation != \"PyPy\""
files = [
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{file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"},
{file = "cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c"},
{file = "cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb"},
{file = "cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0"},
{file = "cffi-2.0.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9332088d75dc3241c702d852d4671613136d90fa6881da7d770a483fd05248b4"},
{file = "cffi-2.0.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc7de24befaeae77ba923797c7c87834c73648a05a4bde34b3b7e5588973a453"},
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{file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8ea985900c5c95ce9db1745f7933eeef5d314f0565b27625d9a10ec9881e1bfb"},
{file = "cffi-2.0.0-cp310-cp310-win32.whl", hash = "sha256:1f72fb8906754ac8a2cc3f9f5aaa298070652a0ffae577e0ea9bd480dc3c931a"},
{file = "cffi-2.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:b18a3ed7d5b3bd8d9ef7a8cb226502c6bf8308df1525e1cc676c3680e7176739"},
{file = "cffi-2.0.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:b4c854ef3adc177950a8dfc81a86f5115d2abd545751a304c5bcf2c2c7283cfe"},
{file = "cffi-2.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2de9a304e27f7596cd03d16f1b7c72219bd944e99cc52b84d0145aefb07cbd3c"},
{file = "cffi-2.0.0-cp311-cp311-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:baf5215e0ab74c16e2dd324e8ec067ef59e41125d3eade2b863d294fd5035c92"},
{file = "cffi-2.0.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:730cacb21e1bdff3ce90babf007d0a0917cc3e6492f336c2f0134101e0944f93"},
{file = "cffi-2.0.0-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:6824f87845e3396029f3820c206e459ccc91760e8fa24422f8b0c3d1731cbec5"},
{file = "cffi-2.0.0-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9de40a7b0323d889cf8d23d1ef214f565ab154443c42737dfe52ff82cf857664"},
{file = "cffi-2.0.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8941aaadaf67246224cee8c3803777eed332a19d909b47e29c9842ef1e79ac26"},
{file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:a05d0c237b3349096d3981b727493e22147f934b20f6f125a3eba8f994bec4a9"},
{file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:94698a9c5f91f9d138526b48fe26a199609544591f859c870d477351dc7b2414"},
{file = "cffi-2.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5fed36fccc0612a53f1d4d9a816b50a36702c28a2aa880cb8a122b3466638743"},
{file = "cffi-2.0.0-cp311-cp311-win32.whl", hash = "sha256:c649e3a33450ec82378822b3dad03cc228b8f5963c0c12fc3b1e0ab940f768a5"},
{file = "cffi-2.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:66f011380d0e49ed280c789fbd08ff0d40968ee7b665575489afa95c98196ab5"},
{file = "cffi-2.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:c6638687455baf640e37344fe26d37c404db8b80d037c3d29f58fe8d1c3b194d"},
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{file = "ruff-0.12.11.tar.gz", hash = "sha256:c6b09ae8426a65bbee5425b9d0b82796dbb07cb1af045743c79bfb163001165d"},
]
[[package]]
@@ -2911,4 +2863,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.10,<4.0"
content-hash = "40eae94995dc0a388fa832ed4af9b6137f28d5b5ced3aaea70d5f91d4d9a179d"
content-hash = "5f15a9c9381c9a374f3d18e087c23b1f1ba8cce192d6f67463a3e3a7a18fee44"

View File

@@ -9,7 +9,7 @@ packages = [{ include = "autogpt_libs" }]
[tool.poetry.dependencies]
python = ">=3.10,<4.0"
colorama = "^0.4.6"
cryptography = "^46.0"
cryptography = "^45.0"
expiringdict = "^1.2.2"
fastapi = "^0.128.0"
google-cloud-logging = "^3.13.0"
@@ -22,12 +22,12 @@ supabase = "^2.27.2"
uvicorn = "^0.40.0"
[tool.poetry.group.dev.dependencies]
pyright = "^1.1.408"
pyright = "^1.1.404"
pytest = "^8.4.1"
pytest-asyncio = "^1.3.0"
pytest-mock = "^3.15.1"
pytest-cov = "^7.0.0"
ruff = "^0.15.0"
pytest-asyncio = "^1.1.0"
pytest-mock = "^3.14.1"
pytest-cov = "^6.2.1"
ruff = "^0.12.11"
[build-system]
requires = ["poetry-core"]

View File

@@ -10,13 +10,13 @@ from typing_extensions import TypedDict
import backend.api.features.store.cache as store_cache
import backend.api.features.store.model as store_model
import backend.blocks
import backend.data.block
from backend.api.external.middleware import require_permission
from backend.data import execution as execution_db
from backend.data import graph as graph_db
from backend.data import user as user_db
from backend.data.auth.base import APIAuthorizationInfo
from backend.data.model import BlockInput, CompletedBlockOutput
from backend.data.block import BlockInput, CompletedBlockOutput
from backend.executor.utils import add_graph_execution
from backend.util.settings import Settings
@@ -67,7 +67,7 @@ async def get_user_info(
dependencies=[Security(require_permission(APIKeyPermission.READ_BLOCK))],
)
async def get_graph_blocks() -> Sequence[dict[Any, Any]]:
blocks = [block() for block in backend.blocks.get_blocks().values()]
blocks = [block() for block in backend.data.block.get_blocks().values()]
return [b.to_dict() for b in blocks if not b.disabled]
@@ -83,7 +83,7 @@ async def execute_graph_block(
require_permission(APIKeyPermission.EXECUTE_BLOCK)
),
) -> CompletedBlockOutput:
obj = backend.blocks.get_block(block_id)
obj = backend.data.block.get_block(block_id)
if not obj:
raise HTTPException(status_code=404, detail=f"Block #{block_id} not found.")
if obj.disabled:

View File

@@ -10,15 +10,10 @@ import backend.api.features.library.db as library_db
import backend.api.features.library.model as library_model
import backend.api.features.store.db as store_db
import backend.api.features.store.model as store_model
import backend.data.block
from backend.blocks import load_all_blocks
from backend.blocks._base import (
AnyBlockSchema,
BlockCategory,
BlockInfo,
BlockSchema,
BlockType,
)
from backend.blocks.llm import LlmModel
from backend.data.block import AnyBlockSchema, BlockCategory, BlockInfo, BlockSchema
from backend.data.db import query_raw_with_schema
from backend.integrations.providers import ProviderName
from backend.util.cache import cached
@@ -27,7 +22,7 @@ from backend.util.models import Pagination
from .model import (
BlockCategoryResponse,
BlockResponse,
BlockTypeFilter,
BlockType,
CountResponse,
FilterType,
Provider,
@@ -93,7 +88,7 @@ def get_block_categories(category_blocks: int = 3) -> list[BlockCategoryResponse
def get_blocks(
*,
category: str | None = None,
type: BlockTypeFilter | None = None,
type: BlockType | None = None,
provider: ProviderName | None = None,
page: int = 1,
page_size: int = 50,
@@ -674,9 +669,9 @@ async def get_suggested_blocks(count: int = 5) -> list[BlockInfo]:
for block_type in load_all_blocks().values():
block: AnyBlockSchema = block_type()
if block.disabled or block.block_type in (
BlockType.INPUT,
BlockType.OUTPUT,
BlockType.AGENT,
backend.data.block.BlockType.INPUT,
backend.data.block.BlockType.OUTPUT,
backend.data.block.BlockType.AGENT,
):
continue
# Find the execution count for this block

View File

@@ -4,7 +4,7 @@ from pydantic import BaseModel
import backend.api.features.library.model as library_model
import backend.api.features.store.model as store_model
from backend.blocks._base import BlockInfo
from backend.data.block import BlockInfo
from backend.integrations.providers import ProviderName
from backend.util.models import Pagination
@@ -15,7 +15,7 @@ FilterType = Literal[
"my_agents",
]
BlockTypeFilter = Literal["all", "input", "action", "output"]
BlockType = Literal["all", "input", "action", "output"]
class SearchEntry(BaseModel):

View File

@@ -88,7 +88,7 @@ async def get_block_categories(
)
async def get_blocks(
category: Annotated[str | None, fastapi.Query()] = None,
type: Annotated[builder_model.BlockTypeFilter | None, fastapi.Query()] = None,
type: Annotated[builder_model.BlockType | None, fastapi.Query()] = None,
provider: Annotated[ProviderName | None, fastapi.Query()] = None,
page: Annotated[int, fastapi.Query()] = 1,
page_size: Annotated[int, fastapi.Query()] = 50,

View File

@@ -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):

View File

@@ -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(

View File

@@ -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 ==========

View File

@@ -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")

View File

@@ -52,10 +52,8 @@ from .response_model import (
StreamBaseResponse,
StreamError,
StreamFinish,
StreamFinishStep,
StreamHeartbeat,
StreamStart,
StreamStartStep,
StreamTextDelta,
StreamTextEnd,
StreamTextStart,
@@ -353,10 +351,6 @@ 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 +371,21 @@ 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 +406,17 @@ 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 +454,7 @@ 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(
@@ -523,27 +479,13 @@ async def stream_chat_completion(
# 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 +585,6 @@ 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 +616,6 @@ 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 +665,6 @@ 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 +700,6 @@ 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 +714,6 @@ 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 +783,6 @@ 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
@@ -966,21 +893,9 @@ 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 +906,12 @@ 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 +946,9 @@ 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 +965,6 @@ 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 +974,6 @@ 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 +984,10 @@ 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 +1010,6 @@ 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 +1066,7 @@ 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 +1086,6 @@ 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:
@@ -1716,7 +1565,6 @@ 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 +1681,6 @@ 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
@@ -1967,10 +1811,6 @@ 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
@@ -1982,7 +1822,6 @@ async def _generate_llm_continuation_with_streaming(
# 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 +1845,6 @@ 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 +1886,4 @@ 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())

View File

@@ -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,

View File

@@ -13,33 +13,10 @@ from backend.api.features.chat.tools.models import (
NoResultsResponse,
)
from backend.api.features.store.hybrid_search import unified_hybrid_search
from backend.blocks import get_block
from backend.blocks._base import BlockType
from backend.data.block import get_block
logger = logging.getLogger(__name__)
_TARGET_RESULTS = 10
# Over-fetch to compensate for post-hoc filtering of graph-only blocks.
# 40 is 2x current removed; speed of query 10 vs 40 is minimial
_OVERFETCH_PAGE_SIZE = 40
# Block types that only work within graphs and cannot run standalone in CoPilot.
COPILOT_EXCLUDED_BLOCK_TYPES = {
BlockType.INPUT, # Graph interface definition - data enters via chat, not graph inputs
BlockType.OUTPUT, # Graph interface definition - data exits via chat, not graph outputs
BlockType.WEBHOOK, # Wait for external events - would hang forever in CoPilot
BlockType.WEBHOOK_MANUAL, # Same as WEBHOOK
BlockType.NOTE, # Visual annotation only - no runtime behavior
BlockType.HUMAN_IN_THE_LOOP, # Pauses for human approval - CoPilot IS human-in-the-loop
BlockType.AGENT, # AgentExecutorBlock requires execution_context - use run_agent tool
}
# Specific block IDs excluded from CoPilot (STANDARD type but still require graph context)
COPILOT_EXCLUDED_BLOCK_IDS = {
# SmartDecisionMakerBlock - dynamically discovers downstream blocks via graph topology
"3b191d9f-356f-482d-8238-ba04b6d18381",
}
class FindBlockTool(BaseTool):
"""Tool for searching available blocks."""
@@ -111,7 +88,7 @@ class FindBlockTool(BaseTool):
query=query,
content_types=[ContentType.BLOCK],
page=1,
page_size=_OVERFETCH_PAGE_SIZE,
page_size=10,
)
if not results:
@@ -131,90 +108,60 @@ class FindBlockTool(BaseTool):
block = get_block(block_id)
# Skip disabled blocks
if not block or block.disabled:
continue
if block and not block.disabled:
# Get input/output schemas
input_schema = {}
output_schema = {}
try:
input_schema = block.input_schema.jsonschema()
except Exception:
pass
try:
output_schema = block.output_schema.jsonschema()
except Exception:
pass
# Skip blocks excluded from CoPilot (graph-only blocks)
if (
block.block_type in COPILOT_EXCLUDED_BLOCK_TYPES
or block.id in COPILOT_EXCLUDED_BLOCK_IDS
):
continue
# Get categories from block instance
categories = []
if hasattr(block, "categories") and block.categories:
categories = [cat.value for cat in block.categories]
# Get input/output schemas
input_schema = {}
output_schema = {}
try:
input_schema = block.input_schema.jsonschema()
except Exception as e:
logger.debug(
"Failed to generate input schema for block %s: %s",
block_id,
e,
)
try:
output_schema = block.output_schema.jsonschema()
except Exception as e:
logger.debug(
"Failed to generate output schema for block %s: %s",
block_id,
e,
)
# Get categories from block instance
categories = []
if hasattr(block, "categories") and block.categories:
categories = [cat.value for cat in block.categories]
# Extract required inputs for easier use
required_inputs: list[BlockInputFieldInfo] = []
if input_schema:
properties = input_schema.get("properties", {})
required_fields = set(input_schema.get("required", []))
# Get credential field names to exclude from required inputs
credentials_fields = set(
block.input_schema.get_credentials_fields().keys()
)
for field_name, field_schema in properties.items():
# Skip credential fields - they're handled separately
if field_name in credentials_fields:
continue
required_inputs.append(
BlockInputFieldInfo(
name=field_name,
type=field_schema.get("type", "string"),
description=field_schema.get("description", ""),
required=field_name in required_fields,
default=field_schema.get("default"),
)
# Extract required inputs for easier use
required_inputs: list[BlockInputFieldInfo] = []
if input_schema:
properties = input_schema.get("properties", {})
required_fields = set(input_schema.get("required", []))
# Get credential field names to exclude from required inputs
credentials_fields = set(
block.input_schema.get_credentials_fields().keys()
)
blocks.append(
BlockInfoSummary(
id=block_id,
name=block.name,
description=block.description or "",
categories=categories,
input_schema=input_schema,
output_schema=output_schema,
required_inputs=required_inputs,
for field_name, field_schema in properties.items():
# Skip credential fields - they're handled separately
if field_name in credentials_fields:
continue
required_inputs.append(
BlockInputFieldInfo(
name=field_name,
type=field_schema.get("type", "string"),
description=field_schema.get("description", ""),
required=field_name in required_fields,
default=field_schema.get("default"),
)
)
blocks.append(
BlockInfoSummary(
id=block_id,
name=block.name,
description=block.description or "",
categories=categories,
input_schema=input_schema,
output_schema=output_schema,
required_inputs=required_inputs,
)
)
)
if len(blocks) >= _TARGET_RESULTS:
break
if blocks and len(blocks) < _TARGET_RESULTS:
logger.debug(
"find_block returned %d/%d results for query '%s' "
"(filtered %d excluded/disabled blocks)",
len(blocks),
_TARGET_RESULTS,
query,
len(results) - len(blocks),
)
if not blocks:
return NoResultsResponse(

View File

@@ -1,139 +0,0 @@
"""Tests for block filtering in FindBlockTool."""
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from backend.api.features.chat.tools.find_block import (
COPILOT_EXCLUDED_BLOCK_IDS,
COPILOT_EXCLUDED_BLOCK_TYPES,
FindBlockTool,
)
from backend.api.features.chat.tools.models import BlockListResponse
from backend.blocks._base import BlockType
from ._test_data import make_session
_TEST_USER_ID = "test-user-find-block"
def make_mock_block(
block_id: str, name: str, block_type: BlockType, disabled: bool = False
):
"""Create a mock block for testing."""
mock = MagicMock()
mock.id = block_id
mock.name = name
mock.description = f"{name} description"
mock.block_type = block_type
mock.disabled = disabled
mock.input_schema = MagicMock()
mock.input_schema.jsonschema.return_value = {"properties": {}, "required": []}
mock.input_schema.get_credentials_fields.return_value = {}
mock.output_schema = MagicMock()
mock.output_schema.jsonschema.return_value = {}
mock.categories = []
return mock
class TestFindBlockFiltering:
"""Tests for block filtering in FindBlockTool."""
def test_excluded_block_types_contains_expected_types(self):
"""Verify COPILOT_EXCLUDED_BLOCK_TYPES contains all graph-only types."""
assert BlockType.INPUT in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.OUTPUT in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.WEBHOOK in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.WEBHOOK_MANUAL in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.NOTE in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.HUMAN_IN_THE_LOOP in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.AGENT in COPILOT_EXCLUDED_BLOCK_TYPES
def test_excluded_block_ids_contains_smart_decision_maker(self):
"""Verify SmartDecisionMakerBlock is in COPILOT_EXCLUDED_BLOCK_IDS."""
assert "3b191d9f-356f-482d-8238-ba04b6d18381" in COPILOT_EXCLUDED_BLOCK_IDS
@pytest.mark.asyncio(loop_scope="session")
async def test_excluded_block_type_filtered_from_results(self):
"""Verify blocks with excluded BlockTypes are filtered from search results."""
session = make_session(user_id=_TEST_USER_ID)
# Mock search returns an INPUT block (excluded) and a STANDARD block (included)
search_results = [
{"content_id": "input-block-id", "score": 0.9},
{"content_id": "standard-block-id", "score": 0.8},
]
input_block = make_mock_block("input-block-id", "Input Block", BlockType.INPUT)
standard_block = make_mock_block(
"standard-block-id", "HTTP Request", BlockType.STANDARD
)
def mock_get_block(block_id):
return {
"input-block-id": input_block,
"standard-block-id": standard_block,
}.get(block_id)
with patch(
"backend.api.features.chat.tools.find_block.unified_hybrid_search",
new_callable=AsyncMock,
return_value=(search_results, 2),
):
with patch(
"backend.api.features.chat.tools.find_block.get_block",
side_effect=mock_get_block,
):
tool = FindBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID, session=session, query="test"
)
# Should only return the standard block, not the INPUT block
assert isinstance(response, BlockListResponse)
assert len(response.blocks) == 1
assert response.blocks[0].id == "standard-block-id"
@pytest.mark.asyncio(loop_scope="session")
async def test_excluded_block_id_filtered_from_results(self):
"""Verify SmartDecisionMakerBlock is filtered from search results."""
session = make_session(user_id=_TEST_USER_ID)
smart_decision_id = "3b191d9f-356f-482d-8238-ba04b6d18381"
search_results = [
{"content_id": smart_decision_id, "score": 0.9},
{"content_id": "normal-block-id", "score": 0.8},
]
# SmartDecisionMakerBlock has STANDARD type but is excluded by ID
smart_block = make_mock_block(
smart_decision_id, "Smart Decision Maker", BlockType.STANDARD
)
normal_block = make_mock_block(
"normal-block-id", "Normal Block", BlockType.STANDARD
)
def mock_get_block(block_id):
return {
smart_decision_id: smart_block,
"normal-block-id": normal_block,
}.get(block_id)
with patch(
"backend.api.features.chat.tools.find_block.unified_hybrid_search",
new_callable=AsyncMock,
return_value=(search_results, 2),
):
with patch(
"backend.api.features.chat.tools.find_block.get_block",
side_effect=mock_get_block,
):
tool = FindBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID, session=session, query="decision"
)
# Should only return normal block, not SmartDecisionMakerBlock
assert isinstance(response, BlockListResponse)
assert len(response.blocks) == 1
assert response.blocks[0].id == "normal-block-id"

View File

@@ -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
]

View File

@@ -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"]]

View File

@@ -8,20 +8,14 @@ from typing import Any
from pydantic_core import PydanticUndefined
from backend.api.features.chat.model import ChatSession
from backend.api.features.chat.tools.find_block import (
COPILOT_EXCLUDED_BLOCK_IDS,
COPILOT_EXCLUDED_BLOCK_TYPES,
)
from backend.blocks import get_block
from backend.blocks._base import AnyBlockSchema
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,
@@ -30,10 +24,7 @@ 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__)
@@ -82,6 +73,91 @@ 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,
@@ -136,24 +212,11 @@ class RunBlockTool(BaseTool):
session_id=session_id,
)
# Check if block is excluded from CoPilot (graph-only blocks)
if (
block.block_type in COPILOT_EXCLUDED_BLOCK_TYPES
or block.id in COPILOT_EXCLUDED_BLOCK_IDS
):
return ErrorResponse(
message=(
f"Block '{block.name}' cannot be run directly in CoPilot. "
"This block is designed for use within graphs only."
),
session_id=session_id,
)
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, input_data
)
if missing_credentials:
@@ -282,75 +345,29 @@ 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

View File

@@ -1,106 +0,0 @@
"""Tests for block execution guards in RunBlockTool."""
from unittest.mock import MagicMock, patch
import pytest
from backend.api.features.chat.tools.models import ErrorResponse
from backend.api.features.chat.tools.run_block import RunBlockTool
from backend.blocks._base import BlockType
from ._test_data import make_session
_TEST_USER_ID = "test-user-run-block"
def make_mock_block(
block_id: str, name: str, block_type: BlockType, disabled: bool = False
):
"""Create a mock block for testing."""
mock = MagicMock()
mock.id = block_id
mock.name = name
mock.block_type = block_type
mock.disabled = disabled
mock.input_schema = MagicMock()
mock.input_schema.jsonschema.return_value = {"properties": {}, "required": []}
mock.input_schema.get_credentials_fields_info.return_value = []
return mock
class TestRunBlockFiltering:
"""Tests for block execution guards in RunBlockTool."""
@pytest.mark.asyncio(loop_scope="session")
async def test_excluded_block_type_returns_error(self):
"""Attempting to execute a block with excluded BlockType returns error."""
session = make_session(user_id=_TEST_USER_ID)
input_block = make_mock_block("input-block-id", "Input Block", BlockType.INPUT)
with patch(
"backend.api.features.chat.tools.run_block.get_block",
return_value=input_block,
):
tool = RunBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID,
session=session,
block_id="input-block-id",
input_data={},
)
assert isinstance(response, ErrorResponse)
assert "cannot be run directly in CoPilot" in response.message
assert "designed for use within graphs only" in response.message
@pytest.mark.asyncio(loop_scope="session")
async def test_excluded_block_id_returns_error(self):
"""Attempting to execute SmartDecisionMakerBlock returns error."""
session = make_session(user_id=_TEST_USER_ID)
smart_decision_id = "3b191d9f-356f-482d-8238-ba04b6d18381"
smart_block = make_mock_block(
smart_decision_id, "Smart Decision Maker", BlockType.STANDARD
)
with patch(
"backend.api.features.chat.tools.run_block.get_block",
return_value=smart_block,
):
tool = RunBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID,
session=session,
block_id=smart_decision_id,
input_data={},
)
assert isinstance(response, ErrorResponse)
assert "cannot be run directly in CoPilot" in response.message
@pytest.mark.asyncio(loop_scope="session")
async def test_non_excluded_block_passes_guard(self):
"""Non-excluded blocks pass the filtering guard (may fail later for other reasons)."""
session = make_session(user_id=_TEST_USER_ID)
standard_block = make_mock_block(
"standard-id", "HTTP Request", BlockType.STANDARD
)
with patch(
"backend.api.features.chat.tools.run_block.get_block",
return_value=standard_block,
):
tool = RunBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID,
session=session,
block_id="standard-id",
input_data={},
)
# Should NOT be an ErrorResponse about CoPilot exclusion
# (may be other errors like missing credentials, but not the exclusion guard)
if isinstance(response, ErrorResponse):
assert "cannot be run directly in CoPilot" not in response.message

View File

@@ -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)

View File

@@ -12,11 +12,12 @@ import backend.api.features.store.image_gen as store_image_gen
import backend.api.features.store.media as store_media
import backend.data.graph as graph_db
import backend.data.integrations as integrations_db
from backend.data.block import BlockInput
from backend.data.db import transaction
from backend.data.execution import get_graph_execution
from backend.data.graph import GraphSettings
from backend.data.includes import AGENT_PRESET_INCLUDE, library_agent_include
from backend.data.model import BlockInput, CredentialsMetaInput
from backend.data.model import CredentialsMetaInput
from backend.integrations.creds_manager import IntegrationCredentialsManager
from backend.integrations.webhooks.graph_lifecycle_hooks import (
on_graph_activate,

View File

@@ -6,12 +6,9 @@ import prisma.enums
import prisma.models
import pydantic
from backend.data.block import BlockInput
from backend.data.graph import GraphModel, GraphSettings, GraphTriggerInfo
from backend.data.model import (
BlockInput,
CredentialsMetaInput,
is_credentials_field_name,
)
from backend.data.model import CredentialsMetaInput, is_credentials_field_name
from backend.util.json import loads as json_loads
from backend.util.models import Pagination

View File

@@ -5,8 +5,8 @@ from typing import Optional
import aiohttp
from fastapi import HTTPException
from backend.blocks import get_block
from backend.data import graph as graph_db
from backend.data.block import get_block
from backend.util.settings import Settings
from .models import ApiResponse, ChatRequest, GraphData

View File

@@ -152,7 +152,7 @@ class BlockHandler(ContentHandler):
async def get_missing_items(self, batch_size: int) -> list[ContentItem]:
"""Fetch blocks without embeddings."""
from backend.blocks import get_blocks
from backend.data.block import get_blocks
# Get all available blocks
all_blocks = get_blocks()
@@ -249,7 +249,7 @@ class BlockHandler(ContentHandler):
async def get_stats(self) -> dict[str, int]:
"""Get statistics about block embedding coverage."""
from backend.blocks import get_blocks
from backend.data.block import get_blocks
all_blocks = get_blocks()

View File

@@ -93,7 +93,7 @@ async def test_block_handler_get_missing_items(mocker):
mock_existing = []
with patch(
"backend.blocks.get_blocks",
"backend.data.block.get_blocks",
return_value=mock_blocks,
):
with patch(
@@ -135,7 +135,7 @@ async def test_block_handler_get_stats(mocker):
mock_embedded = [{"count": 2}]
with patch(
"backend.blocks.get_blocks",
"backend.data.block.get_blocks",
return_value=mock_blocks,
):
with patch(
@@ -327,7 +327,7 @@ async def test_block_handler_handles_missing_attributes():
mock_blocks = {"block-minimal": mock_block_class}
with patch(
"backend.blocks.get_blocks",
"backend.data.block.get_blocks",
return_value=mock_blocks,
):
with patch(
@@ -360,7 +360,7 @@ async def test_block_handler_skips_failed_blocks():
mock_blocks = {"good-block": good_block, "bad-block": bad_block}
with patch(
"backend.blocks.get_blocks",
"backend.data.block.get_blocks",
return_value=mock_blocks,
):
with patch(

View File

@@ -662,7 +662,7 @@ async def cleanup_orphaned_embeddings() -> dict[str, Any]:
)
current_ids = {row["id"] for row in valid_agents}
elif content_type == ContentType.BLOCK:
from backend.blocks import get_blocks
from backend.data.block import get_blocks
current_ids = set(get_blocks().keys())
elif content_type == ContentType.DOCUMENTATION:

View File

@@ -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

View File

@@ -7,6 +7,15 @@ from replicate.client import Client as ReplicateClient
from replicate.exceptions import ReplicateError
from replicate.helpers import FileOutput
from backend.blocks.ideogram import (
AspectRatio,
ColorPalettePreset,
IdeogramModelBlock,
IdeogramModelName,
MagicPromptOption,
StyleType,
UpscaleOption,
)
from backend.data.graph import GraphBaseMeta
from backend.data.model import CredentialsMetaInput, ProviderName
from backend.integrations.credentials_store import ideogram_credentials
@@ -41,16 +50,6 @@ async def generate_agent_image_v2(graph: GraphBaseMeta | AgentGraph) -> io.Bytes
if not ideogram_credentials.api_key:
raise ValueError("Missing Ideogram API key")
from backend.blocks.ideogram import (
AspectRatio,
ColorPalettePreset,
IdeogramModelBlock,
IdeogramModelName,
MagicPromptOption,
StyleType,
UpscaleOption,
)
name = graph.name
description = f"{name} ({graph.description})" if graph.description else name

View File

@@ -40,10 +40,10 @@ from backend.api.model import (
UpdateTimezoneRequest,
UploadFileResponse,
)
from backend.blocks import get_block, get_blocks
from backend.data import execution as execution_db
from backend.data import graph as graph_db
from backend.data.auth import api_key as api_key_db
from backend.data.block import BlockInput, CompletedBlockOutput, get_block, get_blocks
from backend.data.credit import (
AutoTopUpConfig,
RefundRequest,
@@ -54,12 +54,7 @@ from backend.data.credit import (
set_auto_top_up,
)
from backend.data.graph import GraphSettings
from backend.data.model import (
BlockInput,
CompletedBlockOutput,
CredentialsMetaInput,
UserOnboarding,
)
from backend.data.model import CredentialsMetaInput, UserOnboarding
from backend.data.notifications import NotificationPreference, NotificationPreferenceDTO
from backend.data.onboarding import (
FrontendOnboardingStep,

View File

@@ -3,7 +3,7 @@ import logging
import os
import re
from pathlib import Path
from typing import TYPE_CHECKING, Sequence, Type, TypeVar
from typing import TYPE_CHECKING, TypeVar
from backend.util.cache import cached
@@ -11,14 +11,14 @@ logger = logging.getLogger(__name__)
if TYPE_CHECKING:
from backend.blocks._base import AnyBlockSchema, BlockType
from backend.data.block import Block
T = TypeVar("T")
@cached(ttl_seconds=3600)
def load_all_blocks() -> dict[str, type["AnyBlockSchema"]]:
from backend.blocks._base import Block
def load_all_blocks() -> dict[str, type["Block"]]:
from backend.data.block import Block
from backend.util.settings import Config
# Check if example blocks should be loaded from settings
@@ -50,8 +50,8 @@ def load_all_blocks() -> dict[str, type["AnyBlockSchema"]]:
importlib.import_module(f".{module}", package=__name__)
# Load all Block instances from the available modules
available_blocks: dict[str, type["AnyBlockSchema"]] = {}
for block_cls in _all_subclasses(Block):
available_blocks: dict[str, type["Block"]] = {}
for block_cls in all_subclasses(Block):
class_name = block_cls.__name__
if class_name.endswith("Base"):
@@ -64,7 +64,7 @@ def load_all_blocks() -> dict[str, type["AnyBlockSchema"]]:
"please name the class with 'Base' at the end"
)
block = block_cls() # pyright: ignore[reportAbstractUsage]
block = block_cls.create()
if not isinstance(block.id, str) or len(block.id) != 36:
raise ValueError(
@@ -105,7 +105,7 @@ def load_all_blocks() -> dict[str, type["AnyBlockSchema"]]:
available_blocks[block.id] = block_cls
# Filter out blocks with incomplete auth configs, e.g. missing OAuth server secrets
from ._utils import is_block_auth_configured
from backend.data.block import is_block_auth_configured
filtered_blocks = {}
for block_id, block_cls in available_blocks.items():
@@ -115,48 +115,11 @@ def load_all_blocks() -> dict[str, type["AnyBlockSchema"]]:
return filtered_blocks
def _all_subclasses(cls: type[T]) -> list[type[T]]:
__all__ = ["load_all_blocks"]
def all_subclasses(cls: type[T]) -> list[type[T]]:
subclasses = cls.__subclasses__()
for subclass in subclasses:
subclasses += _all_subclasses(subclass)
subclasses += all_subclasses(subclass)
return subclasses
# ============== Block access helper functions ============== #
def get_blocks() -> dict[str, Type["AnyBlockSchema"]]:
return load_all_blocks()
# Note on the return type annotation: https://github.com/microsoft/pyright/issues/10281
def get_block(block_id: str) -> "AnyBlockSchema | None":
cls = get_blocks().get(block_id)
return cls() if cls else None
@cached(ttl_seconds=3600)
def get_webhook_block_ids() -> Sequence[str]:
return [
id
for id, B in get_blocks().items()
if B().block_type in (BlockType.WEBHOOK, BlockType.WEBHOOK_MANUAL)
]
@cached(ttl_seconds=3600)
def get_io_block_ids() -> Sequence[str]:
return [
id
for id, B in get_blocks().items()
if B().block_type in (BlockType.INPUT, BlockType.OUTPUT)
]
@cached(ttl_seconds=3600)
def get_human_in_the_loop_block_ids() -> Sequence[str]:
return [
id
for id, B in get_blocks().items()
if B().block_type == BlockType.HUMAN_IN_THE_LOOP
]

View File

@@ -1,741 +0,0 @@
import inspect
import logging
from abc import ABC, abstractmethod
from enum import Enum
from typing import (
TYPE_CHECKING,
Any,
Callable,
ClassVar,
Generic,
Optional,
Type,
TypeAlias,
TypeVar,
cast,
get_origin,
)
import jsonref
import jsonschema
from pydantic import BaseModel
from backend.data.model import (
BlockInput,
BlockOutput,
BlockOutputEntry,
Credentials,
CredentialsFieldInfo,
CredentialsMetaInput,
SchemaField,
is_credentials_field_name,
)
from backend.integrations.providers import ProviderName
from backend.util import json
from backend.util.exceptions import (
BlockError,
BlockExecutionError,
BlockInputError,
BlockOutputError,
BlockUnknownError,
)
from backend.util.settings import Config
logger = logging.getLogger(__name__)
if TYPE_CHECKING:
from backend.data.execution import ExecutionContext
from backend.data.model import ContributorDetails, NodeExecutionStats
from ..data.graph import Link
app_config = Config()
BlockTestOutput = BlockOutputEntry | tuple[str, Callable[[Any], bool]]
class BlockType(Enum):
STANDARD = "Standard"
INPUT = "Input"
OUTPUT = "Output"
NOTE = "Note"
WEBHOOK = "Webhook"
WEBHOOK_MANUAL = "Webhook (manual)"
AGENT = "Agent"
AI = "AI"
AYRSHARE = "Ayrshare"
HUMAN_IN_THE_LOOP = "Human In The Loop"
class BlockCategory(Enum):
AI = "Block that leverages AI to perform a task."
SOCIAL = "Block that interacts with social media platforms."
TEXT = "Block that processes text data."
SEARCH = "Block that searches or extracts information from the internet."
BASIC = "Block that performs basic operations."
INPUT = "Block that interacts with input of the graph."
OUTPUT = "Block that interacts with output of the graph."
LOGIC = "Programming logic to control the flow of your agent"
COMMUNICATION = "Block that interacts with communication platforms."
DEVELOPER_TOOLS = "Developer tools such as GitHub blocks."
DATA = "Block that interacts with structured data."
HARDWARE = "Block that interacts with hardware."
AGENT = "Block that interacts with other agents."
CRM = "Block that interacts with CRM services."
SAFETY = (
"Block that provides AI safety mechanisms such as detecting harmful content"
)
PRODUCTIVITY = "Block that helps with productivity"
ISSUE_TRACKING = "Block that helps with issue tracking"
MULTIMEDIA = "Block that interacts with multimedia content"
MARKETING = "Block that helps with marketing"
def dict(self) -> dict[str, str]:
return {"category": self.name, "description": self.value}
class BlockCostType(str, Enum):
RUN = "run" # cost X credits per run
BYTE = "byte" # cost X credits per byte
SECOND = "second" # cost X credits per second
class BlockCost(BaseModel):
cost_amount: int
cost_filter: BlockInput
cost_type: BlockCostType
def __init__(
self,
cost_amount: int,
cost_type: BlockCostType = BlockCostType.RUN,
cost_filter: Optional[BlockInput] = None,
**data: Any,
) -> None:
super().__init__(
cost_amount=cost_amount,
cost_filter=cost_filter or {},
cost_type=cost_type,
**data,
)
class BlockInfo(BaseModel):
id: str
name: str
inputSchema: dict[str, Any]
outputSchema: dict[str, Any]
costs: list[BlockCost]
description: str
categories: list[dict[str, str]]
contributors: list[dict[str, Any]]
staticOutput: bool
uiType: str
class BlockSchema(BaseModel):
cached_jsonschema: ClassVar[dict[str, Any]]
@classmethod
def jsonschema(cls) -> dict[str, Any]:
if cls.cached_jsonschema:
return cls.cached_jsonschema
model = jsonref.replace_refs(cls.model_json_schema(), merge_props=True)
def ref_to_dict(obj):
if isinstance(obj, dict):
# OpenAPI <3.1 does not support sibling fields that has a $ref key
# So sometimes, the schema has an "allOf"/"anyOf"/"oneOf" with 1 item.
keys = {"allOf", "anyOf", "oneOf"}
one_key = next((k for k in keys if k in obj and len(obj[k]) == 1), None)
if one_key:
obj.update(obj[one_key][0])
return {
key: ref_to_dict(value)
for key, value in obj.items()
if not key.startswith("$") and key != one_key
}
elif isinstance(obj, list):
return [ref_to_dict(item) for item in obj]
return obj
cls.cached_jsonschema = cast(dict[str, Any], ref_to_dict(model))
return cls.cached_jsonschema
@classmethod
def validate_data(cls, data: BlockInput) -> str | None:
return json.validate_with_jsonschema(
schema=cls.jsonschema(),
data={k: v for k, v in data.items() if v is not None},
)
@classmethod
def get_mismatch_error(cls, data: BlockInput) -> str | None:
return cls.validate_data(data)
@classmethod
def get_field_schema(cls, field_name: str) -> dict[str, Any]:
model_schema = cls.jsonschema().get("properties", {})
if not model_schema:
raise ValueError(f"Invalid model schema {cls}")
property_schema = model_schema.get(field_name)
if not property_schema:
raise ValueError(f"Invalid property name {field_name}")
return property_schema
@classmethod
def validate_field(cls, field_name: str, data: BlockInput) -> str | None:
"""
Validate the data against a specific property (one of the input/output name).
Returns the validation error message if the data does not match the schema.
"""
try:
property_schema = cls.get_field_schema(field_name)
jsonschema.validate(json.to_dict(data), property_schema)
return None
except jsonschema.ValidationError as e:
return str(e)
@classmethod
def get_fields(cls) -> set[str]:
return set(cls.model_fields.keys())
@classmethod
def get_required_fields(cls) -> set[str]:
return {
field
for field, field_info in cls.model_fields.items()
if field_info.is_required()
}
@classmethod
def __pydantic_init_subclass__(cls, **kwargs):
"""Validates the schema definition. Rules:
- Fields with annotation `CredentialsMetaInput` MUST be
named `credentials` or `*_credentials`
- Fields named `credentials` or `*_credentials` MUST be
of type `CredentialsMetaInput`
"""
super().__pydantic_init_subclass__(**kwargs)
# Reset cached JSON schema to prevent inheriting it from parent class
cls.cached_jsonschema = {}
credentials_fields = cls.get_credentials_fields()
for field_name in cls.get_fields():
if is_credentials_field_name(field_name):
if field_name not in credentials_fields:
raise TypeError(
f"Credentials field '{field_name}' on {cls.__qualname__} "
f"is not of type {CredentialsMetaInput.__name__}"
)
CredentialsMetaInput.validate_credentials_field_schema(
cls.get_field_schema(field_name), field_name
)
elif field_name in credentials_fields:
raise KeyError(
f"Credentials field '{field_name}' on {cls.__qualname__} "
"has invalid name: must be 'credentials' or *_credentials"
)
@classmethod
def get_credentials_fields(cls) -> dict[str, type[CredentialsMetaInput]]:
return {
field_name: info.annotation
for field_name, info in cls.model_fields.items()
if (
inspect.isclass(info.annotation)
and issubclass(
get_origin(info.annotation) or info.annotation,
CredentialsMetaInput,
)
)
}
@classmethod
def get_auto_credentials_fields(cls) -> dict[str, dict[str, Any]]:
"""
Get fields that have auto_credentials metadata (e.g., GoogleDriveFileInput).
Returns a dict mapping kwarg_name -> {field_name, auto_credentials_config}
Raises:
ValueError: If multiple fields have the same kwarg_name, as this would
cause silent overwriting and only the last field would be processed.
"""
result: dict[str, dict[str, Any]] = {}
schema = cls.jsonschema()
properties = schema.get("properties", {})
for field_name, field_schema in properties.items():
auto_creds = field_schema.get("auto_credentials")
if auto_creds:
kwarg_name = auto_creds.get("kwarg_name", "credentials")
if kwarg_name in result:
raise ValueError(
f"Duplicate auto_credentials kwarg_name '{kwarg_name}' "
f"in fields '{result[kwarg_name]['field_name']}' and "
f"'{field_name}' on {cls.__qualname__}"
)
result[kwarg_name] = {
"field_name": field_name,
"config": auto_creds,
}
return result
@classmethod
def get_credentials_fields_info(cls) -> dict[str, CredentialsFieldInfo]:
result = {}
# Regular credentials fields
for field_name in cls.get_credentials_fields().keys():
result[field_name] = CredentialsFieldInfo.model_validate(
cls.get_field_schema(field_name), by_alias=True
)
# Auto-generated credentials fields (from GoogleDriveFileInput etc.)
for kwarg_name, info in cls.get_auto_credentials_fields().items():
config = info["config"]
# Build a schema-like dict that CredentialsFieldInfo can parse
auto_schema = {
"credentials_provider": [config.get("provider", "google")],
"credentials_types": [config.get("type", "oauth2")],
"credentials_scopes": config.get("scopes"),
}
result[kwarg_name] = CredentialsFieldInfo.model_validate(
auto_schema, by_alias=True
)
return result
@classmethod
def get_input_defaults(cls, data: BlockInput) -> BlockInput:
return data # Return as is, by default.
@classmethod
def get_missing_links(cls, data: BlockInput, links: list["Link"]) -> set[str]:
input_fields_from_nodes = {link.sink_name for link in links}
return input_fields_from_nodes - set(data)
@classmethod
def get_missing_input(cls, data: BlockInput) -> set[str]:
return cls.get_required_fields() - set(data)
class BlockSchemaInput(BlockSchema):
"""
Base schema class for block inputs.
All block input schemas should extend this class for consistency.
"""
pass
class BlockSchemaOutput(BlockSchema):
"""
Base schema class for block outputs that includes a standard error field.
All block output schemas should extend this class to ensure consistent error handling.
"""
error: str = SchemaField(
description="Error message if the operation failed", default=""
)
BlockSchemaInputType = TypeVar("BlockSchemaInputType", bound=BlockSchemaInput)
BlockSchemaOutputType = TypeVar("BlockSchemaOutputType", bound=BlockSchemaOutput)
class EmptyInputSchema(BlockSchemaInput):
pass
class EmptyOutputSchema(BlockSchemaOutput):
pass
# For backward compatibility - will be deprecated
EmptySchema = EmptyOutputSchema
# --8<-- [start:BlockWebhookConfig]
class BlockManualWebhookConfig(BaseModel):
"""
Configuration model for webhook-triggered blocks on which
the user has to manually set up the webhook at the provider.
"""
provider: ProviderName
"""The service provider that the webhook connects to"""
webhook_type: str
"""
Identifier for the webhook type. E.g. GitHub has repo and organization level hooks.
Only for use in the corresponding `WebhooksManager`.
"""
event_filter_input: str = ""
"""
Name of the block's event filter input.
Leave empty if the corresponding webhook doesn't have distinct event/payload types.
"""
event_format: str = "{event}"
"""
Template string for the event(s) that a block instance subscribes to.
Applied individually to each event selected in the event filter input.
Example: `"pull_request.{event}"` -> `"pull_request.opened"`
"""
class BlockWebhookConfig(BlockManualWebhookConfig):
"""
Configuration model for webhook-triggered blocks for which
the webhook can be automatically set up through the provider's API.
"""
resource_format: str
"""
Template string for the resource that a block instance subscribes to.
Fields will be filled from the block's inputs (except `payload`).
Example: `f"{repo}/pull_requests"` (note: not how it's actually implemented)
Only for use in the corresponding `WebhooksManager`.
"""
# --8<-- [end:BlockWebhookConfig]
class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
def __init__(
self,
id: str = "",
description: str = "",
contributors: list["ContributorDetails"] = [],
categories: set[BlockCategory] | None = None,
input_schema: Type[BlockSchemaInputType] = EmptyInputSchema,
output_schema: Type[BlockSchemaOutputType] = EmptyOutputSchema,
test_input: BlockInput | list[BlockInput] | None = None,
test_output: BlockTestOutput | list[BlockTestOutput] | None = None,
test_mock: dict[str, Any] | None = None,
test_credentials: Optional[Credentials | dict[str, Credentials]] = None,
disabled: bool = False,
static_output: bool = False,
block_type: BlockType = BlockType.STANDARD,
webhook_config: Optional[BlockWebhookConfig | BlockManualWebhookConfig] = None,
is_sensitive_action: bool = False,
):
"""
Initialize the block with the given schema.
Args:
id: The unique identifier for the block, this value will be persisted in the
DB. So it should be a unique and constant across the application run.
Use the UUID format for the ID.
description: The description of the block, explaining what the block does.
contributors: The list of contributors who contributed to the block.
input_schema: The schema, defined as a Pydantic model, for the input data.
output_schema: The schema, defined as a Pydantic model, for the output data.
test_input: The list or single sample input data for the block, for testing.
test_output: The list or single expected output if the test_input is run.
test_mock: function names on the block implementation to mock on test run.
disabled: If the block is disabled, it will not be available for execution.
static_output: Whether the output links of the block are static by default.
"""
from backend.data.model import NodeExecutionStats
self.id = id
self.input_schema = input_schema
self.output_schema = output_schema
self.test_input = test_input
self.test_output = test_output
self.test_mock = test_mock
self.test_credentials = test_credentials
self.description = description
self.categories = categories or set()
self.contributors = contributors or set()
self.disabled = disabled
self.static_output = static_output
self.block_type = block_type
self.webhook_config = webhook_config
self.is_sensitive_action = is_sensitive_action
self.execution_stats: "NodeExecutionStats" = NodeExecutionStats()
if self.webhook_config:
if isinstance(self.webhook_config, BlockWebhookConfig):
# Enforce presence of credentials field on auto-setup webhook blocks
if not (cred_fields := self.input_schema.get_credentials_fields()):
raise TypeError(
"credentials field is required on auto-setup webhook blocks"
)
# Disallow multiple credentials inputs on webhook blocks
elif len(cred_fields) > 1:
raise ValueError(
"Multiple credentials inputs not supported on webhook blocks"
)
self.block_type = BlockType.WEBHOOK
else:
self.block_type = BlockType.WEBHOOK_MANUAL
# Enforce shape of webhook event filter, if present
if self.webhook_config.event_filter_input:
event_filter_field = self.input_schema.model_fields[
self.webhook_config.event_filter_input
]
if not (
isinstance(event_filter_field.annotation, type)
and issubclass(event_filter_field.annotation, BaseModel)
and all(
field.annotation is bool
for field in event_filter_field.annotation.model_fields.values()
)
):
raise NotImplementedError(
f"{self.name} has an invalid webhook event selector: "
"field must be a BaseModel and all its fields must be boolean"
)
# Enforce presence of 'payload' input
if "payload" not in self.input_schema.model_fields:
raise TypeError(
f"{self.name} is webhook-triggered but has no 'payload' input"
)
# Disable webhook-triggered block if webhook functionality not available
if not app_config.platform_base_url:
self.disabled = True
@abstractmethod
async def run(self, input_data: BlockSchemaInputType, **kwargs) -> BlockOutput:
"""
Run the block with the given input data.
Args:
input_data: The input data with the structure of input_schema.
Kwargs: Currently 14/02/2025 these include
graph_id: The ID of the graph.
node_id: The ID of the node.
graph_exec_id: The ID of the graph execution.
node_exec_id: The ID of the node execution.
user_id: The ID of the user.
Returns:
A Generator that yields (output_name, output_data).
output_name: One of the output name defined in Block's output_schema.
output_data: The data for the output_name, matching the defined schema.
"""
# --- satisfy the type checker, never executed -------------
if False: # noqa: SIM115
yield "name", "value" # pyright: ignore[reportMissingYield]
raise NotImplementedError(f"{self.name} does not implement the run method.")
async def run_once(
self, input_data: BlockSchemaInputType, output: str, **kwargs
) -> Any:
async for item in self.run(input_data, **kwargs):
name, data = item
if name == output:
return data
raise ValueError(f"{self.name} did not produce any output for {output}")
def merge_stats(self, stats: "NodeExecutionStats") -> "NodeExecutionStats":
self.execution_stats += stats
return self.execution_stats
@property
def name(self):
return self.__class__.__name__
def to_dict(self):
return {
"id": self.id,
"name": self.name,
"inputSchema": self.input_schema.jsonschema(),
"outputSchema": self.output_schema.jsonschema(),
"description": self.description,
"categories": [category.dict() for category in self.categories],
"contributors": [
contributor.model_dump() for contributor in self.contributors
],
"staticOutput": self.static_output,
"uiType": self.block_type.value,
}
def get_info(self) -> BlockInfo:
from backend.data.credit import get_block_cost
return BlockInfo(
id=self.id,
name=self.name,
inputSchema=self.input_schema.jsonschema(),
outputSchema=self.output_schema.jsonschema(),
costs=get_block_cost(self),
description=self.description,
categories=[category.dict() for category in self.categories],
contributors=[
contributor.model_dump() for contributor in self.contributors
],
staticOutput=self.static_output,
uiType=self.block_type.value,
)
async def execute(self, input_data: BlockInput, **kwargs) -> BlockOutput:
try:
async for output_name, output_data in self._execute(input_data, **kwargs):
yield output_name, output_data
except Exception as ex:
if isinstance(ex, BlockError):
raise ex
else:
raise (
BlockExecutionError
if isinstance(ex, ValueError)
else BlockUnknownError
)(
message=str(ex),
block_name=self.name,
block_id=self.id,
) from ex
async def is_block_exec_need_review(
self,
input_data: BlockInput,
*,
user_id: str,
node_id: str,
node_exec_id: str,
graph_exec_id: str,
graph_id: str,
graph_version: int,
execution_context: "ExecutionContext",
**kwargs,
) -> tuple[bool, BlockInput]:
"""
Check if this block execution needs human review and handle the review process.
Returns:
Tuple of (should_pause, input_data_to_use)
- should_pause: True if execution should be paused for review
- input_data_to_use: The input data to use (may be modified by reviewer)
"""
if not (
self.is_sensitive_action and execution_context.sensitive_action_safe_mode
):
return False, input_data
from backend.blocks.helpers.review import HITLReviewHelper
# Handle the review request and get decision
decision = await HITLReviewHelper.handle_review_decision(
input_data=input_data,
user_id=user_id,
node_id=node_id,
node_exec_id=node_exec_id,
graph_exec_id=graph_exec_id,
graph_id=graph_id,
graph_version=graph_version,
block_name=self.name,
editable=True,
)
if decision is None:
# We're awaiting review - pause execution
return True, input_data
if not decision.should_proceed:
# Review was rejected, raise an error to stop execution
raise BlockExecutionError(
message=f"Block execution rejected by reviewer: {decision.message}",
block_name=self.name,
block_id=self.id,
)
# Review was approved - use the potentially modified data
# ReviewResult.data must be a dict for block inputs
reviewed_data = decision.review_result.data
if not isinstance(reviewed_data, dict):
raise BlockExecutionError(
message=f"Review data must be a dict for block input, got {type(reviewed_data).__name__}",
block_name=self.name,
block_id=self.id,
)
return False, reviewed_data
async def _execute(self, input_data: BlockInput, **kwargs) -> BlockOutput:
# Check for review requirement only if running within a graph execution context
# Direct block execution (e.g., from chat) skips the review process
has_graph_context = all(
key in kwargs
for key in (
"node_exec_id",
"graph_exec_id",
"graph_id",
"execution_context",
)
)
if has_graph_context:
should_pause, input_data = await self.is_block_exec_need_review(
input_data, **kwargs
)
if should_pause:
return
# Validate the input data (original or reviewer-modified) once
if error := self.input_schema.validate_data(input_data):
raise BlockInputError(
message=f"Unable to execute block with invalid input data: {error}",
block_name=self.name,
block_id=self.id,
)
# Use the validated input data
async for output_name, output_data in self.run(
self.input_schema(**{k: v for k, v in input_data.items() if v is not None}),
**kwargs,
):
if output_name == "error":
raise BlockExecutionError(
message=output_data, block_name=self.name, block_id=self.id
)
if self.block_type == BlockType.STANDARD and (
error := self.output_schema.validate_field(output_name, output_data)
):
raise BlockOutputError(
message=f"Block produced an invalid output data: {error}",
block_name=self.name,
block_id=self.id,
)
yield output_name, output_data
def is_triggered_by_event_type(
self, trigger_config: dict[str, Any], event_type: str
) -> bool:
if not self.webhook_config:
raise TypeError("This method can't be used on non-trigger blocks")
if not self.webhook_config.event_filter_input:
return True
event_filter = trigger_config.get(self.webhook_config.event_filter_input)
if not event_filter:
raise ValueError("Event filter is not configured on trigger")
return event_type in [
self.webhook_config.event_format.format(event=k)
for k in event_filter
if event_filter[k] is True
]
# Type alias for any block with standard input/output schemas
AnyBlockSchema: TypeAlias = Block[BlockSchemaInput, BlockSchemaOutput]

View File

@@ -1,122 +0,0 @@
import logging
import os
from backend.integrations.providers import ProviderName
from ._base import AnyBlockSchema
logger = logging.getLogger(__name__)
def is_block_auth_configured(
block_cls: type[AnyBlockSchema],
) -> bool:
"""
Check if a block has a valid authentication method configured at runtime.
For example if a block is an OAuth-only block and there env vars are not set,
do not show it in the UI.
"""
from backend.sdk.registry import AutoRegistry
# Create an instance to access input_schema
try:
block = block_cls()
except Exception as e:
# If we can't create a block instance, assume it's not OAuth-only
logger.error(f"Error creating block instance for {block_cls.__name__}: {e}")
return True
logger.debug(
f"Checking if block {block_cls.__name__} has a valid provider configured"
)
# Get all credential inputs from input schema
credential_inputs = block.input_schema.get_credentials_fields_info()
required_inputs = block.input_schema.get_required_fields()
if not credential_inputs:
logger.debug(
f"Block {block_cls.__name__} has no credential inputs - Treating as valid"
)
return True
# Check credential inputs
if len(required_inputs.intersection(credential_inputs.keys())) == 0:
logger.debug(
f"Block {block_cls.__name__} has only optional credential inputs"
" - will work without credentials configured"
)
# Check if the credential inputs for this block are correctly configured
for field_name, field_info in credential_inputs.items():
provider_names = field_info.provider
if not provider_names:
logger.warning(
f"Block {block_cls.__name__} "
f"has credential input '{field_name}' with no provider options"
" - Disabling"
)
return False
# If a field has multiple possible providers, each one needs to be usable to
# prevent breaking the UX
for _provider_name in provider_names:
provider_name = _provider_name.value
if provider_name in ProviderName.__members__.values():
logger.debug(
f"Block {block_cls.__name__} credential input '{field_name}' "
f"provider '{provider_name}' is part of the legacy provider system"
" - Treating as valid"
)
break
provider = AutoRegistry.get_provider(provider_name)
if not provider:
logger.warning(
f"Block {block_cls.__name__} credential input '{field_name}' "
f"refers to unknown provider '{provider_name}' - Disabling"
)
return False
# Check the provider's supported auth types
if field_info.supported_types != provider.supported_auth_types:
logger.warning(
f"Block {block_cls.__name__} credential input '{field_name}' "
f"has mismatched supported auth types (field <> Provider): "
f"{field_info.supported_types} != {provider.supported_auth_types}"
)
if not (supported_auth_types := provider.supported_auth_types):
# No auth methods are been configured for this provider
logger.warning(
f"Block {block_cls.__name__} credential input '{field_name}' "
f"provider '{provider_name}' "
"has no authentication methods configured - Disabling"
)
return False
# Check if provider supports OAuth
if "oauth2" in supported_auth_types:
# Check if OAuth environment variables are set
if (oauth_config := provider.oauth_config) and bool(
os.getenv(oauth_config.client_id_env_var)
and os.getenv(oauth_config.client_secret_env_var)
):
logger.debug(
f"Block {block_cls.__name__} credential input '{field_name}' "
f"provider '{provider_name}' is configured for OAuth"
)
else:
logger.error(
f"Block {block_cls.__name__} credential input '{field_name}' "
f"provider '{provider_name}' "
"is missing OAuth client ID or secret - Disabling"
)
return False
logger.debug(
f"Block {block_cls.__name__} credential input '{field_name}' is valid; "
f"supported credential types: {', '.join(field_info.supported_types)}"
)
return True

View File

@@ -1,7 +1,7 @@
import logging
from typing import TYPE_CHECKING, Any, Optional
from typing import Any, Optional
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockInput,
@@ -9,15 +9,13 @@ from backend.blocks._base import (
BlockSchema,
BlockSchemaInput,
BlockType,
get_block,
)
from backend.data.execution import ExecutionContext, ExecutionStatus, NodesInputMasks
from backend.data.model import NodeExecutionStats, SchemaField
from backend.util.json import validate_with_jsonschema
from backend.util.retry import func_retry
if TYPE_CHECKING:
from backend.executor.utils import LogMetadata
_logger = logging.getLogger(__name__)
@@ -126,10 +124,9 @@ class AgentExecutorBlock(Block):
graph_version: int,
graph_exec_id: str,
user_id: str,
logger: "LogMetadata",
logger,
) -> BlockOutput:
from backend.blocks import get_block
from backend.data.execution import ExecutionEventType
from backend.executor import utils as execution_utils
@@ -201,7 +198,7 @@ class AgentExecutorBlock(Block):
self,
graph_exec_id: str,
user_id: str,
logger: "LogMetadata",
logger,
) -> None:
from backend.executor import utils as execution_utils

View File

@@ -1,11 +1,5 @@
from typing import Any
from backend.blocks._base import (
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.llm import (
DEFAULT_LLM_MODEL,
TEST_CREDENTIALS,
@@ -17,6 +11,12 @@ from backend.blocks.llm import (
LLMResponse,
llm_call,
)
from backend.data.block import (
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.data.model import APIKeyCredentials, NodeExecutionStats, SchemaField

View File

@@ -6,7 +6,7 @@ from pydantic import SecretStr
from replicate.client import Client as ReplicateClient
from replicate.helpers import FileOutput
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

View File

@@ -5,12 +5,7 @@ from pydantic import SecretStr
from replicate.client import Client as ReplicateClient
from replicate.helpers import FileOutput
from backend.blocks._base import (
Block,
BlockCategory,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.data.block import Block, BlockCategory, BlockSchemaInput, BlockSchemaOutput
from backend.data.execution import ExecutionContext
from backend.data.model import (
APIKeyCredentials,

View File

@@ -6,7 +6,7 @@ from typing import Literal
from pydantic import SecretStr
from replicate.client import Client as ReplicateClient
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

View File

@@ -6,7 +6,7 @@ from typing import Literal
from pydantic import SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

View File

@@ -1,10 +1,3 @@
from backend.blocks._base import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.apollo._api import ApolloClient
from backend.blocks.apollo._auth import (
TEST_CREDENTIALS,
@@ -17,6 +10,13 @@ from backend.blocks.apollo.models import (
PrimaryPhone,
SearchOrganizationsRequest,
)
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.data.model import CredentialsField, SchemaField

View File

@@ -1,12 +1,5 @@
import asyncio
from backend.blocks._base import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.apollo._api import ApolloClient
from backend.blocks.apollo._auth import (
TEST_CREDENTIALS,
@@ -21,6 +14,13 @@ from backend.blocks.apollo.models import (
SearchPeopleRequest,
SenorityLevels,
)
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.data.model import CredentialsField, SchemaField

View File

@@ -1,10 +1,3 @@
from backend.blocks._base import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.apollo._api import ApolloClient
from backend.blocks.apollo._auth import (
TEST_CREDENTIALS,
@@ -13,6 +6,13 @@ from backend.blocks.apollo._auth import (
ApolloCredentialsInput,
)
from backend.blocks.apollo.models import Contact, EnrichPersonRequest
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.data.model import CredentialsField, SchemaField

View File

@@ -3,7 +3,7 @@ from typing import Optional
from pydantic import BaseModel, Field
from backend.blocks._base import BlockSchemaInput
from backend.data.block import BlockSchemaInput
from backend.data.model import SchemaField, UserIntegrations
from backend.integrations.ayrshare import AyrshareClient
from backend.util.clients import get_database_manager_async_client

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@@ -1,7 +1,7 @@
import enum
from typing import Any
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -2,7 +2,7 @@ import os
import re
from typing import Type
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -1,7 +1,7 @@
from enum import Enum
from typing import Any
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -6,7 +6,7 @@ from typing import Literal, Optional
from e2b import AsyncSandbox as BaseAsyncSandbox
from pydantic import BaseModel, SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -6,7 +6,7 @@ from e2b_code_interpreter import Result as E2BExecutionResult
from e2b_code_interpreter.charts import Chart as E2BExecutionResultChart
from pydantic import BaseModel, Field, JsonValue, SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -1,6 +1,6 @@
import re
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -6,7 +6,7 @@ from openai import AsyncOpenAI
from openai.types.responses import Response as OpenAIResponse
from pydantic import SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -1,6 +1,6 @@
from pydantic import BaseModel
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockManualWebhookConfig,

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@@ -1,4 +1,4 @@
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -1,6 +1,6 @@
from typing import Any, List
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -1,6 +1,6 @@
import codecs
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -8,7 +8,7 @@ from typing import Any, Literal, cast
import discord
from pydantic import SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -2,7 +2,7 @@
Discord OAuth-based blocks.
"""
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -7,7 +7,7 @@ from typing import Literal
from pydantic import BaseModel, ConfigDict, SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -2,7 +2,7 @@
import codecs
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -8,7 +8,7 @@ which provides access to LinkedIn profile data and related information.
import logging
from typing import Optional
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -3,13 +3,6 @@ import logging
from enum import Enum
from typing import Any
from backend.blocks._base import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.fal._auth import (
TEST_CREDENTIALS,
TEST_CREDENTIALS_INPUT,
@@ -17,6 +10,13 @@ from backend.blocks.fal._auth import (
FalCredentialsField,
FalCredentialsInput,
)
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.data.execution import ExecutionContext
from backend.data.model import SchemaField
from backend.util.file import store_media_file

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@@ -5,7 +5,7 @@ from pydantic import SecretStr
from replicate.client import Client as ReplicateClient
from replicate.helpers import FileOutput
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -3,7 +3,7 @@ from typing import Optional
from pydantic import BaseModel
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -5,7 +5,7 @@ from typing import Optional
from typing_extensions import TypedDict
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -3,7 +3,7 @@ from urllib.parse import urlparse
from typing_extensions import TypedDict
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -2,7 +2,7 @@ import re
from typing_extensions import TypedDict
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -2,7 +2,7 @@ import base64
from typing_extensions import TypedDict
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -4,7 +4,7 @@ from typing import Any, List, Optional
from typing_extensions import TypedDict
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -3,7 +3,7 @@ from typing import Optional
from pydantic import BaseModel
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -4,7 +4,7 @@ from pathlib import Path
from pydantic import BaseModel
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -8,7 +8,7 @@ from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from pydantic import BaseModel
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -7,14 +7,14 @@ from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from gravitas_md2gdocs import to_requests
from backend.blocks._base import (
from backend.blocks.google._drive import GoogleDriveFile, GoogleDriveFileField
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.google._drive import GoogleDriveFile, GoogleDriveFileField
from backend.data.model import SchemaField
from backend.util.settings import Settings

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@@ -14,7 +14,7 @@ from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from pydantic import BaseModel, Field
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -7,14 +7,14 @@ from enum import Enum
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from backend.blocks._base import (
from backend.blocks.google._drive import GoogleDriveFile, GoogleDriveFileField
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.google._drive import GoogleDriveFile, GoogleDriveFileField
from backend.data.model import SchemaField
from backend.util.settings import Settings

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@@ -3,7 +3,7 @@ from typing import Literal
import googlemaps
from pydantic import BaseModel, SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -8,7 +8,7 @@ from typing import Literal
import aiofiles
from pydantic import SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -1,15 +1,15 @@
from backend.blocks._base import (
from backend.blocks.hubspot._auth import (
HubSpotCredentials,
HubSpotCredentialsField,
HubSpotCredentialsInput,
)
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.hubspot._auth import (
HubSpotCredentials,
HubSpotCredentialsField,
HubSpotCredentialsInput,
)
from backend.data.model import SchemaField
from backend.util.request import Requests

View File

@@ -1,15 +1,15 @@
from backend.blocks._base import (
from backend.blocks.hubspot._auth import (
HubSpotCredentials,
HubSpotCredentialsField,
HubSpotCredentialsInput,
)
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.hubspot._auth import (
HubSpotCredentials,
HubSpotCredentialsField,
HubSpotCredentialsInput,
)
from backend.data.model import SchemaField
from backend.util.request import Requests

View File

@@ -1,17 +1,17 @@
from datetime import datetime, timedelta
from backend.blocks._base import (
from backend.blocks.hubspot._auth import (
HubSpotCredentials,
HubSpotCredentialsField,
HubSpotCredentialsInput,
)
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.hubspot._auth import (
HubSpotCredentials,
HubSpotCredentialsField,
HubSpotCredentialsInput,
)
from backend.data.model import SchemaField
from backend.util.request import Requests

View File

@@ -3,7 +3,8 @@ from typing import Any
from prisma.enums import ReviewStatus
from backend.blocks._base import (
from backend.blocks.helpers.review import HITLReviewHelper
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
@@ -11,7 +12,6 @@ from backend.blocks._base import (
BlockSchemaOutput,
BlockType,
)
from backend.blocks.helpers.review import HITLReviewHelper
from backend.data.execution import ExecutionContext
from backend.data.human_review import ReviewResult
from backend.data.model import SchemaField

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@@ -3,7 +3,7 @@ from typing import Any, Dict, Literal, Optional
from pydantic import SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -2,7 +2,9 @@ import copy
from datetime import date, time
from typing import Any, Optional
from backend.blocks._base import (
# Import for Google Drive file input block
from backend.blocks.google._drive import AttachmentView, GoogleDriveFile
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
@@ -10,9 +12,6 @@ from backend.blocks._base import (
BlockSchemaInput,
BlockType,
)
# Import for Google Drive file input block
from backend.blocks.google._drive import AttachmentView, GoogleDriveFile
from backend.data.execution import ExecutionContext
from backend.data.model import SchemaField
from backend.util.file import store_media_file

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@@ -1,6 +1,6 @@
from typing import Any
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

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@@ -1,15 +1,15 @@
from backend.blocks._base import (
from backend.blocks.jina._auth import (
JinaCredentials,
JinaCredentialsField,
JinaCredentialsInput,
)
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.jina._auth import (
JinaCredentials,
JinaCredentialsField,
JinaCredentialsInput,
)
from backend.data.model import SchemaField
from backend.util.request import Requests

View File

@@ -1,15 +1,15 @@
from backend.blocks._base import (
from backend.blocks.jina._auth import (
JinaCredentials,
JinaCredentialsField,
JinaCredentialsInput,
)
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.jina._auth import (
JinaCredentials,
JinaCredentialsField,
JinaCredentialsInput,
)
from backend.data.model import SchemaField
from backend.util.request import Requests

View File

@@ -3,18 +3,18 @@ from urllib.parse import quote
from typing_extensions import TypedDict
from backend.blocks._base import (
from backend.blocks.jina._auth import (
JinaCredentials,
JinaCredentialsField,
JinaCredentialsInput,
)
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.jina._auth import (
JinaCredentials,
JinaCredentialsField,
JinaCredentialsInput,
)
from backend.data.model import SchemaField
from backend.util.request import Requests

View File

@@ -1,12 +1,5 @@
from urllib.parse import quote
from backend.blocks._base import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.blocks.jina._auth import (
TEST_CREDENTIALS,
TEST_CREDENTIALS_INPUT,
@@ -15,6 +8,13 @@ from backend.blocks.jina._auth import (
JinaCredentialsInput,
)
from backend.blocks.search import GetRequest
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.data.model import SchemaField
from backend.util.exceptions import BlockExecutionError

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@@ -15,7 +15,7 @@ from anthropic.types import ToolParam
from groq import AsyncGroq
from pydantic import BaseModel, SecretStr
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,
@@ -531,12 +531,12 @@ class LLMResponse(BaseModel):
def convert_openai_tool_fmt_to_anthropic(
openai_tools: list[dict] | None = None,
) -> Iterable[ToolParam] | anthropic.Omit:
) -> Iterable[ToolParam] | anthropic.NotGiven:
"""
Convert OpenAI tool format to Anthropic tool format.
"""
if not openai_tools or len(openai_tools) == 0:
return anthropic.omit
return anthropic.NOT_GIVEN
anthropic_tools = []
for tool in openai_tools:

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