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devin/1744
| Author | SHA1 | Date | |
|---|---|---|---|
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dba6aef61c |
33
.github/workflows/notify-downstream.yml
vendored
33
.github/workflows/notify-downstream.yml
vendored
@@ -1,33 +0,0 @@
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name: Notify Downstream
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on:
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push:
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branches:
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- main
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permissions:
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contents: read
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jobs:
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notify-downstream:
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runs-on: ubuntu-latest
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steps:
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- name: Generate GitHub App token
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id: app-token
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uses: tibdex/github-app-token@v2
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with:
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app_id: ${{ secrets.OSS_SYNC_APP_ID }}
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private_key: ${{ secrets.OSS_SYNC_APP_PRIVATE_KEY }}
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- name: Notify Repo B
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uses: peter-evans/repository-dispatch@v3
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with:
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token: ${{ steps.app-token.outputs.token }}
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repository: ${{ secrets.OSS_SYNC_DOWNSTREAM_REPO }}
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event-type: upstream-commit
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client-payload: |
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{
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"commit_sha": "${{ github.sha }}"
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}
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@@ -288,20 +288,26 @@ To add a guardrail to a task, provide a validation function through the `guardra
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```python Code
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from typing import Tuple, Union, Dict, Any
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from crewai import TaskOutput
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def validate_blog_content(result: TaskOutput) -> Tuple[bool, Any]:
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def validate_blog_content(result: str) -> Tuple[bool, Union[Dict[str, Any], str]]:
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"""Validate blog content meets requirements."""
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try:
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# Check word count
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word_count = len(result.split())
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if word_count > 200:
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return (False, "Blog content exceeds 200 words")
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return (False, {
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"error": "Blog content exceeds 200 words",
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"code": "WORD_COUNT_ERROR",
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"context": {"word_count": word_count}
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})
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# Additional validation logic here
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return (True, result.strip())
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except Exception as e:
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return (False, "Unexpected error during validation")
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return (False, {
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"error": "Unexpected error during validation",
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"code": "SYSTEM_ERROR"
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})
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blog_task = Task(
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description="Write a blog post about AI",
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@@ -319,24 +325,29 @@ blog_task = Task(
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- Type hints are recommended but optional
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2. **Return Values**:
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- On success: it returns a tuple of `(bool, Any)`. For example: `(True, validated_result)`
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- On Failure: it returns a tuple of `(bool, str)`. For example: `(False, "Error message explain the failure")`
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- Success: Return `(True, validated_result)`
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- Failure: Return `(False, error_details)`
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### Error Handling Best Practices
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1. **Structured Error Responses**:
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```python Code
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from crewai import TaskOutput
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def validate_with_context(result: TaskOutput) -> Tuple[bool, Any]:
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def validate_with_context(result: str) -> Tuple[bool, Union[Dict[str, Any], str]]:
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try:
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# Main validation logic
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validated_data = perform_validation(result)
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return (True, validated_data)
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except ValidationError as e:
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return (False, f"VALIDATION_ERROR: {str(e)}")
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return (False, {
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"error": str(e),
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"code": "VALIDATION_ERROR",
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"context": {"input": result}
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})
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except Exception as e:
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return (False, str(e))
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return (False, {
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"error": "Unexpected error",
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"code": "SYSTEM_ERROR"
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})
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```
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2. **Error Categories**:
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@@ -347,25 +358,28 @@ def validate_with_context(result: TaskOutput) -> Tuple[bool, Any]:
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3. **Validation Chain**:
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```python Code
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from typing import Any, Dict, List, Tuple, Union
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from crewai import TaskOutput
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def complex_validation(result: TaskOutput) -> Tuple[bool, Any]:
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def complex_validation(result: str) -> Tuple[bool, Union[str, Dict[str, Any]]]:
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"""Chain multiple validation steps."""
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# Step 1: Basic validation
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if not result:
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return (False, "Empty result")
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return (False, {"error": "Empty result", "code": "EMPTY_INPUT"})
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# Step 2: Content validation
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try:
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validated = validate_content(result)
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if not validated:
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return (False, "Invalid content")
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return (False, {"error": "Invalid content", "code": "CONTENT_ERROR"})
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# Step 3: Format validation
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formatted = format_output(validated)
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return (True, formatted)
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except Exception as e:
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return (False, str(e))
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return (False, {
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"error": str(e),
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"code": "VALIDATION_ERROR",
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"context": {"step": "content_validation"}
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})
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```
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### Handling Guardrail Results
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@@ -380,16 +394,19 @@ When a guardrail returns `(False, error)`:
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Example with retry handling:
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```python Code
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from typing import Optional, Tuple, Union
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from crewai import TaskOutput, Task
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def validate_json_output(result: TaskOutput) -> Tuple[bool, Any]:
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def validate_json_output(result: str) -> Tuple[bool, Union[Dict[str, Any], str]]:
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"""Validate and parse JSON output."""
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try:
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# Try to parse as JSON
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data = json.loads(result)
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return (True, data)
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except json.JSONDecodeError as e:
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return (False, "Invalid JSON format")
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return (False, {
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"error": "Invalid JSON format",
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"code": "JSON_ERROR",
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"context": {"line": e.lineno, "column": e.colno}
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})
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task = Task(
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description="Generate a JSON report",
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@@ -535,7 +535,6 @@ class Agent(BaseAgent):
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verbose=self.verbose,
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response_format=response_format,
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i18n=self.i18n,
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original_agent=self,
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)
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return await lite_agent.kickoff_async(messages)
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@@ -273,9 +273,11 @@ def get_crew(crew_path: str = "crew.py", require: bool = False) -> Crew | None:
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for attr_name in dir(module):
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attr = getattr(module, attr_name)
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try:
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if callable(attr) and hasattr(attr, "crew"):
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crew_instance = attr().crew()
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return crew_instance
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if isinstance(attr, Crew) and hasattr(attr, "kickoff"):
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print(
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f"Found valid crew object in attribute '{attr_name}' at {crew_os_path}."
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)
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return attr
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except Exception as e:
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print(f"Error processing attribute {attr_name}: {e}")
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@@ -1399,12 +1399,12 @@ class Crew(BaseModel):
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RuntimeError: If the specified memory system fails to reset
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"""
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reset_functions = {
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"long": (getattr(self, "_long_term_memory", None), "long term"),
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"short": (getattr(self, "_short_term_memory", None), "short term"),
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"entity": (getattr(self, "_entity_memory", None), "entity"),
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"knowledge": (getattr(self, "knowledge", None), "knowledge"),
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"kickoff_outputs": (getattr(self, "_task_output_handler", None), "task output"),
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"external": (getattr(self, "_external_memory", None), "external"),
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"long": (self._long_term_memory, "long term"),
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"short": (self._short_term_memory, "short term"),
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"entity": (self._entity_memory, "entity"),
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"knowledge": (self.knowledge, "knowledge"),
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"kickoff_outputs": (self._task_output_handler, "task output"),
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"external": (self._external_memory, "external"),
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}
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memory_system, name = reset_functions[memory_type]
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@@ -719,7 +719,10 @@ class Flow(Generic[T], metaclass=FlowMeta):
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async def run_flow():
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return await self.kickoff_async(inputs)
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return asyncio.run(run_flow())
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try:
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return asyncio.run(run_flow())
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except KeyboardInterrupt:
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raise
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async def kickoff_async(self, inputs: Optional[Dict[str, Any]] = None) -> Any:
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"""
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@@ -21,7 +21,7 @@ class SQLiteFlowPersistence(FlowPersistence):
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moderate performance requirements.
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"""
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db_path: str
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db_path: str # Type annotation for instance variable
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def __init__(self, db_path: Optional[str] = None):
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"""Initialize SQLite persistence.
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@@ -1,2 +0,0 @@
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CREWAI_TELEMETRY_BASE_URL: str = "https://telemetry.crewai.com:4319"
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CREWAI_TELEMETRY_SERVICE_NAME: str = "crewAI-telemetry"
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@@ -9,11 +9,6 @@ from contextlib import contextmanager
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from importlib.metadata import version
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from typing import TYPE_CHECKING, Any, Optional
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from crewai.telemetry.constants import (
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CREWAI_TELEMETRY_BASE_URL,
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CREWAI_TELEMETRY_SERVICE_NAME,
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)
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@contextmanager
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def suppress_warnings():
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@@ -57,15 +52,16 @@ class Telemetry:
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return
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try:
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telemetry_endpoint = "https://telemetry.crewai.com:4319"
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self.resource = Resource(
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attributes={SERVICE_NAME: CREWAI_TELEMETRY_SERVICE_NAME},
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attributes={SERVICE_NAME: "crewAI-telemetry"},
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)
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with suppress_warnings():
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self.provider = TracerProvider(resource=self.resource)
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processor = BatchSpanProcessor(
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OTLPSpanExporter(
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endpoint=f"{CREWAI_TELEMETRY_BASE_URL}/v1/traces",
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endpoint=f"{telemetry_endpoint}/v1/traces",
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timeout=30,
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)
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)
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@@ -79,12 +75,12 @@ class Telemetry:
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):
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raise # Re-raise the exception to not interfere with system signals
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self.ready = False
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def _is_telemetry_disabled(self) -> bool:
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"""Check if telemetry should be disabled based on environment variables."""
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return (
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os.getenv("OTEL_SDK_DISABLED", "false").lower() == "true"
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or os.getenv("CREWAI_DISABLE_TELEMETRY", "false").lower() == "true"
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os.getenv("OTEL_SDK_DISABLED", "false").lower() == "true" or
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os.getenv("CREWAI_DISABLE_TELEMETRY", "false").lower() == "true"
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)
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def set_tracer(self):
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@@ -755,3 +755,29 @@ def test_multiple_routers_from_same_trigger():
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assert execution_order.index("anemia_analysis") > execution_order.index(
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"anemia_router"
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)
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def test_flow_keyboard_interrupt_handling():
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"""Test that a flow properly terminates when a keyboard interrupt is received."""
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execution_order = []
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class KeyboardInterruptFlow(Flow):
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@start()
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def step_1(self):
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execution_order.append("step_1")
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@listen(step_1)
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def step_2(self):
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execution_order.append("step_2")
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raise KeyboardInterrupt()
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@listen(step_2)
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def step_3(self):
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execution_order.append("step_3")
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flow = KeyboardInterruptFlow()
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with pytest.raises(KeyboardInterrupt):
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flow.kickoff()
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assert execution_order == ["step_1", "step_2"]
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