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6 Commits

Author SHA1 Message Date
Nicholas Tindle
2b8134a711 Merge branch 'dev' into ntindle/google-issues-fix 2026-02-09 13:46:37 -06:00
Nicholas Tindle
90b3b5ba16 fix(backend): Fix misplaced section header in graph_test.py
Move the _reassign_ids section comment to above the actual _reassign_ids
tests, and label the combine() tests correctly.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-08 16:11:47 -06:00
Nicholas Tindle
f4f81bc4fc fix(backend): Remove _credentials_id key on fork instead of setting to None
Setting _credentials_id to None on fork was ambiguous — both "forked,
needs re-auth" and "chained data from upstream" were represented as None.
This caused _acquire_auto_credentials to silently skip credential
acquisition for forked agents, leading to confusing TypeErrors at runtime.

Now the key is deleted entirely, making the three states unambiguous:
- Present with value: user-selected credentials
- Present as None: chained data from upstream block
- Absent: forked/needs re-authentication

Also adds pre-run validation for the missing key case and makes error
messages provider-agnostic.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 17:34:16 -06:00
Nicholas Tindle
c5abc01f25 fix(backend): Add error handling for auto-credentials store lookup
Wrap get_creds_by_id call in try/except in the auto-credentials
validation path to match the error handling pattern used for regular
credentials.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 16:53:29 -06:00
Nicholas Tindle
8b7053c1de merge: Resolve conflicts with dev (PR #11986 graph model refactor)
Adapt auto-credentials filtering to dev's refactored graph model:
- aggregate_credentials_inputs() now returns 3-tuples (field_info, node_pairs, is_required)
- credentials_input_schema moved to GraphModel, builds JSON schema directly
- Update regular/auto_credentials_inputs properties for 3-tuple format
- Update test mocks and assertions for new tuple format and class hierarchy

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 16:39:57 -06:00
Nicholas Tindle
e00c1202ad fix(platform): Fix Google Drive auto-credentials handling across the platform
- Tag auto-credentials with `is_auto_credential` and `input_field_name` on `CredentialsFieldInfo` to distinguish them from regular user-provided credentials
- Add `regular_credentials_inputs` and `auto_credentials_inputs` properties to `Graph` so UI schemas, CoPilot, and library presets only surface regular credentials
- Extract `_acquire_auto_credentials()` helper in executor to resolve embedded `_credentials_id` at execution time with proper lock management
- Validate auto-credentials ownership in `_validate_node_input_credentials()` to catch stale/missing credentials before execution
- Clear `_credentials_id` in `_reassign_ids()` on graph fork so cloned agents require re-authentication
- Propagate `is_auto_credential` through `combine()` and `discriminate()` on `CredentialsFieldInfo`
- Add `referrerPolicy: "no-referrer-when-downgrade"` to Google API script loading to fix Firefox API key validation
- Comprehensive test coverage for all new behavior

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 16:08:53 -06:00
366 changed files with 11556 additions and 13121 deletions

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@@ -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

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@@ -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

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@@ -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

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

View File

@@ -23,7 +23,7 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 1

View File

@@ -23,7 +23,7 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 0

View File

@@ -28,7 +28,7 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 1

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@@ -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

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@@ -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

View File

@@ -82,7 +82,7 @@ jobs:
- name: Dispatch Deploy Event
if: steps.check_status.outputs.should_deploy == 'true'
uses: peter-evans/repository-dispatch@v4
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.DISPATCH_TOKEN }}
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
@@ -110,7 +110,7 @@ jobs:
- name: Dispatch Undeploy Event (from comment)
if: steps.check_status.outputs.should_undeploy == 'true'
uses: peter-evans/repository-dispatch@v4
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.DISPATCH_TOKEN }}
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
@@ -168,7 +168,7 @@ jobs:
github.event_name == 'pull_request' &&
github.event.action == 'closed' &&
steps.check_pr_close.outputs.should_undeploy == 'true'
uses: peter-evans/repository-dispatch@v4
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.DISPATCH_TOKEN }}
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure

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
@@ -71,7 +71,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v6
@@ -107,7 +107,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
fetch-depth: 0
@@ -148,7 +148,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
submodules: recursive
@@ -277,7 +277,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
with:
submodules: recursive

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@@ -29,7 +29,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v6
@@ -56,14 +56,14 @@ 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
@@ -85,7 +85,7 @@ jobs:
- name: Run docker compose
run: |
docker compose -f ../docker-compose.yml --profile local up -d deps_backend
docker compose -f ../docker-compose.yml --profile local --profile deps_backend up -d
- name: Restore dependencies cache
uses: actions/cache@v5

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@@ -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

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
[[package]]
name = "annotated-doc"
@@ -67,7 +67,7 @@ description = "Backport of asyncio.Runner, a context manager that controls event
optional = false
python-versions = "<3.11,>=3.8"
groups = ["dev"]
markers = "python_version < \"3.11\""
markers = "python_version == \"3.10\""
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version = "7.13.4"
version = "7.10.5"
description = "Code coverage measurement for Python"
optional = false
python-versions = ">=3.10"
python-versions = ">=3.9"
groups = ["dev"]
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{file = "coverage-7.10.5.tar.gz", hash = "sha256:f2e57716a78bc3ae80b2207be0709a3b2b63b9f2dcf9740ee6ac03588a2015b6"},
]
[package.dependencies]
@@ -541,7 +523,7 @@ description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
groups = ["main", "dev"]
markers = "python_version < \"3.11\""
markers = "python_version == \"3.10\""
files = [
{file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"},
{file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"},
@@ -2180,23 +2162,23 @@ testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
[[package]]
name = "pytest-cov"
version = "7.0.0"
version = "6.2.1"
description = "Pytest plugin for measuring coverage."
optional = false
python-versions = ">=3.9"
groups = ["dev"]
files = [
{file = "pytest_cov-7.0.0-py3-none-any.whl", hash = "sha256:3b8e9558b16cc1479da72058bdecf8073661c7f57f7d3c5f22a1c23507f2d861"},
{file = "pytest_cov-7.0.0.tar.gz", hash = "sha256:33c97eda2e049a0c5298e91f519302a1334c26ac65c1a483d6206fd458361af1"},
{file = "pytest_cov-6.2.1-py3-none-any.whl", hash = "sha256:f5bc4c23f42f1cdd23c70b1dab1bbaef4fc505ba950d53e0081d0730dd7e86d5"},
{file = "pytest_cov-6.2.1.tar.gz", hash = "sha256:25cc6cc0a5358204b8108ecedc51a9b57b34cc6b8c967cc2c01a4e00d8a67da2"},
]
[package.dependencies]
coverage = {version = ">=7.10.6", extras = ["toml"]}
coverage = {version = ">=7.5", extras = ["toml"]}
pluggy = ">=1.2"
pytest = ">=7"
pytest = ">=6.2.5"
[package.extras]
testing = ["process-tests", "pytest-xdist", "virtualenv"]
testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
[[package]]
name = "pytest-mock"
@@ -2563,7 +2545,7 @@ description = "A lil' TOML parser"
optional = false
python-versions = ">=3.8"
groups = ["dev"]
markers = "python_version < \"3.11\""
markers = "python_version == \"3.10\""
files = [
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@@ -2911,4 +2893,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.10,<4.0"
content-hash = "40eae94995dc0a388fa832ed4af9b6137f28d5b5ced3aaea70d5f91d4d9a179d"
content-hash = "b7ac335a86aa44c3d7d2802298818b389a6f1286e3e9b7b0edb2ff06377cecaf"

View File

@@ -26,7 +26,7 @@ pyright = "^1.1.408"
pytest = "^8.4.1"
pytest-asyncio = "^1.3.0"
pytest-mock = "^3.15.1"
pytest-cov = "^7.0.0"
pytest-cov = "^6.2.1"
ruff = "^0.15.0"
[build-system]

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

@@ -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()
@@ -291,6 +269,8 @@ async def stream_chat_post(
import time
stream_start_time = time.perf_counter()
# Base log metadata (task_id added after creation)
log_meta = {"component": "ChatStream", "session_id": session_id}
if user_id:
log_meta["user_id"] = user_id
@@ -348,6 +328,24 @@ async def stream_chat_post(
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)
logger.info(
f"[TIMING] StreamStart published at {(time_module.perf_counter() - gen_start_time)*1000:.1f}ms",
extra={
"json_fields": {
**log_meta,
"elapsed_ms": (time_module.perf_counter() - gen_start_time)
* 1000,
}
},
)
logger.info(
"[TIMING] Calling stream_chat_completion",
extra={"json_fields": log_meta},
)
async for chunk in chat_service.stream_chat_completion(
session_id,
request.message,
@@ -355,7 +353,6 @@ 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:
@@ -391,6 +388,7 @@ async def stream_chat_post(
}
},
)
await stream_registry.mark_task_completed(task_id, "completed")
except Exception as e:
elapsed = time_module.perf_counter() - gen_start_time
@@ -430,13 +428,34 @@ async def stream_chat_post(
chunks_yielded = 0
try:
# Subscribe to the task stream (this replays existing messages + live updates)
subscribe_start = time_module.perf_counter()
logger.info(
"[TIMING] Calling subscribe_to_task",
extra={"json_fields": log_meta},
)
subscriber_queue = await stream_registry.subscribe_to_task(
task_id=task_id,
user_id=user_id,
last_message_id="0-0", # Get all messages from the beginning
)
subscribe_time = (time_module.perf_counter() - subscribe_start) * 1000
logger.info(
f"[TIMING] subscribe_to_task completed in {subscribe_time:.1f}ms, "
f"queue_ok={subscriber_queue is not None}",
extra={
"json_fields": {
**log_meta,
"duration_ms": subscribe_time,
"queue_obtained": subscriber_queue is not None,
}
},
)
if subscriber_queue is None:
logger.info(
"[TIMING] subscriber_queue is None, yielding finish",
extra={"json_fields": log_meta},
)
yield StreamFinish().to_sse()
yield "data: [DONE]\n\n"
return
@@ -448,7 +467,11 @@ async def stream_chat_post(
)
while True:
try:
queue_wait_start = time_module.perf_counter()
chunk = await asyncio.wait_for(subscriber_queue.get(), timeout=30.0)
queue_wait_time = (
time_module.perf_counter() - queue_wait_start
) * 1000
chunks_yielded += 1
if not first_chunk_yielded:
@@ -456,12 +479,26 @@ async def stream_chat_post(
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__}",
f"type={type(chunk).__name__}, "
f"wait={queue_wait_time:.1f}ms",
extra={
"json_fields": {
**log_meta,
"chunk_type": type(chunk).__name__,
"elapsed_ms": elapsed * 1000,
"queue_wait_ms": queue_wait_time,
}
},
)
elif chunks_yielded % 50 == 0:
logger.info(
f"[TIMING] Chunk #{chunks_yielded}, "
f"type={type(chunk).__name__}",
extra={
"json_fields": {
**log_meta,
"chunk_number": chunks_yielded,
"chunk_type": type(chunk).__name__,
}
},
)
@@ -484,6 +521,13 @@ async def stream_chat_post(
)
break
except asyncio.TimeoutError:
# Send heartbeat to keep connection alive
logger.info(
f"[TIMING] Heartbeat timeout, chunks_so_far={chunks_yielded}",
extra={
"json_fields": {**log_meta, "chunks_so_far": chunks_yielded}
},
)
yield StreamHeartbeat().to_sse()
except GeneratorExit:
@@ -548,90 +592,63 @@ 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,
"n_chunks": chunk_count,
"first_chunk_type": first_chunk_type,
},
)
# AI SDK protocol termination
yield "data: [DONE]\n\n"
return StreamingResponse(
event_generator(),
@@ -639,8 +656,8 @@ 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 +969,3 @@ 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.
@@ -523,21 +517,16 @@ 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.
# Yield message start
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 StreamStart(messageId=message_id)
try:
logger.info(
@@ -643,10 +632,6 @@ 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 +663,6 @@ 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 +712,6 @@ 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 +747,6 @@ 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 +761,6 @@ 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 +830,6 @@ 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
@@ -1066,10 +1040,6 @@ 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,
@@ -1716,7 +1686,6 @@ 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 +1802,6 @@ 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 +1932,6 @@ 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 +1943,6 @@ 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 +1966,6 @@ 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 +2007,4 @@ 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

@@ -857,10 +857,8 @@ def _reconstruct_chunk(chunk_data: dict) -> StreamBaseResponse | None:
ResponseType,
StreamError,
StreamFinish,
StreamFinishStep,
StreamHeartbeat,
StreamStart,
StreamStartStep,
StreamTextDelta,
StreamTextEnd,
StreamTextStart,
@@ -874,8 +872,6 @@ 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

@@ -13,8 +13,7 @@ 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 BlockType, get_block
logger = logging.getLogger(__name__)

View File

@@ -10,7 +10,7 @@ from backend.api.features.chat.tools.find_block import (
FindBlockTool,
)
from backend.api.features.chat.tools.models import BlockListResponse
from backend.blocks._base import BlockType
from backend.data.block import BlockType
from ._test_data import make_session

View File

@@ -12,8 +12,7 @@ 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 AnyBlockSchema, get_block
from backend.data.execution import ExecutionContext
from backend.data.model import CredentialsFieldInfo, CredentialsMetaInput
from backend.data.workspace import get_or_create_workspace

View File

@@ -6,7 +6,7 @@ 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 backend.data.block import BlockType
from ._test_data import make_session

View File

@@ -118,7 +118,7 @@ def build_missing_credentials_from_graph(
preserving all supported credential types for each field.
"""
matched_keys = set(matched_credentials.keys()) if matched_credentials else set()
aggregated_fields = graph.aggregate_credentials_inputs()
aggregated_fields = graph.regular_credentials_inputs
return {
field_key: _serialize_missing_credential(field_key, field_info)
@@ -338,7 +338,7 @@ async def match_user_credentials_to_graph(
missing_creds: list[str] = []
# Get aggregated credentials requirements from the graph
aggregated_creds = graph.aggregate_credentials_inputs()
aggregated_creds = graph.regular_credentials_inputs
logger.debug(
f"Matching credentials for graph {graph.id}: {len(aggregated_creds)} required"
)

View File

@@ -0,0 +1,78 @@
"""Tests for chat tools utility functions."""
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from backend.data.model import CredentialsFieldInfo
def _make_regular_field() -> CredentialsFieldInfo:
return CredentialsFieldInfo.model_validate(
{
"credentials_provider": ["github"],
"credentials_types": ["api_key"],
"is_auto_credential": False,
},
by_alias=True,
)
def test_build_missing_credentials_excludes_auto_creds():
"""
build_missing_credentials_from_graph() should use regular_credentials_inputs
and thus exclude auto_credentials from the "missing" set.
"""
from backend.api.features.chat.tools.utils import (
build_missing_credentials_from_graph,
)
regular_field = _make_regular_field()
mock_graph = MagicMock()
# regular_credentials_inputs should only return the non-auto field
mock_graph.regular_credentials_inputs = {
"github_api_key": (regular_field, {("node-1", "credentials")}, True),
}
result = build_missing_credentials_from_graph(mock_graph, matched_credentials=None)
# Should include the regular credential
assert "github_api_key" in result
# Should NOT include the auto_credential (not in regular_credentials_inputs)
assert "google_oauth2" not in result
@pytest.mark.asyncio
async def test_match_user_credentials_excludes_auto_creds():
"""
match_user_credentials_to_graph() should use regular_credentials_inputs
and thus exclude auto_credentials from matching.
"""
from backend.api.features.chat.tools.utils import match_user_credentials_to_graph
regular_field = _make_regular_field()
mock_graph = MagicMock()
mock_graph.id = "test-graph"
# regular_credentials_inputs returns only non-auto fields
mock_graph.regular_credentials_inputs = {
"github_api_key": (regular_field, {("node-1", "credentials")}, True),
}
# Mock the credentials manager to return no credentials
with patch(
"backend.api.features.chat.tools.utils.IntegrationCredentialsManager"
) as MockCredsMgr:
mock_store = AsyncMock()
mock_store.get_all_creds.return_value = []
MockCredsMgr.return_value.store = mock_store
matched, missing = await match_user_credentials_to_graph(
user_id="test-user", graph=mock_graph
)
# No credentials available, so github should be missing
assert len(matched) == 0
assert len(missing) == 1
assert "github_api_key" in missing[0]

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,
@@ -1102,7 +1103,7 @@ async def create_preset_from_graph_execution(
raise NotFoundError(
f"Graph #{graph_execution.graph_id} not found or accessible"
)
elif len(graph.aggregate_credentials_inputs()) > 0:
elif len(graph.regular_credentials_inputs) > 0:
raise ValueError(
f"Graph execution #{graph_exec_id} can't be turned into a preset "
"because it was run before this feature existed "

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

View File

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

View File

@@ -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,

View File

@@ -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,

View File

@@ -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,

View File

@@ -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,

View File

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

View File

@@ -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,

View File

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

View File

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

View File

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

View File

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

View File

@@ -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,

View File

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

View File

@@ -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,

View File

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

View File

@@ -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,

View File

@@ -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

View File

@@ -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,

View File

@@ -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,

View File

@@ -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,

View File

@@ -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,

View File

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

View File

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

View File

@@ -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,

View File

@@ -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,

View File

@@ -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,

View File

@@ -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,

View File

@@ -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

View File

@@ -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,

View File

@@ -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

View File

@@ -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,

View File

@@ -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,

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

@@ -1,15 +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

View File

@@ -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,

View File

@@ -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

View File

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

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

@@ -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

View File

@@ -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,

View File

@@ -2,7 +2,7 @@ import operator
from enum import Enum
from typing import Any
from backend.blocks._base import (
from backend.data.block import (
Block,
BlockCategory,
BlockOutput,

View File

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

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