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@@ -13,7 +13,7 @@ CrewAI provides a powerful event system that allows you to listen for and react
|
||||
CrewAI uses an event bus architecture to emit events throughout the execution lifecycle. The event system is built on the following components:
|
||||
|
||||
1. **CrewAIEventsBus**: A singleton event bus that manages event registration and emission
|
||||
2. **CrewEvent**: Base class for all events in the system
|
||||
2. **BaseEvent**: Base class for all events in the system
|
||||
3. **BaseEventListener**: Abstract base class for creating custom event listeners
|
||||
|
||||
When specific actions occur in CrewAI (like a Crew starting execution, an Agent completing a task, or a tool being used), the system emits corresponding events. You can register handlers for these events to execute custom code when they occur.
|
||||
@@ -234,7 +234,7 @@ Each event handler receives two parameters:
|
||||
1. **source**: The object that emitted the event
|
||||
2. **event**: The event instance, containing event-specific data
|
||||
|
||||
The structure of the event object depends on the event type, but all events inherit from `CrewEvent` and include:
|
||||
The structure of the event object depends on the event type, but all events inherit from `BaseEvent` and include:
|
||||
|
||||
- **timestamp**: The time when the event was emitted
|
||||
- **type**: A string identifier for the event type
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"$schema": "https://mintlify.com/docs.json",
|
||||
"theme": "palm",
|
||||
"theme": "mint",
|
||||
"name": "CrewAI",
|
||||
"colors": {
|
||||
"primary": "#EB6658",
|
||||
@@ -109,6 +109,7 @@
|
||||
"how-to/langtrace-observability",
|
||||
"how-to/mlflow-observability",
|
||||
"how-to/openlit-observability",
|
||||
"how-to/opik-observability",
|
||||
"how-to/portkey-observability"
|
||||
]
|
||||
},
|
||||
@@ -228,4 +229,4 @@
|
||||
"reddit": "https://www.reddit.com/r/crewAIInc/"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
129
docs/how-to/opik-observability.mdx
Normal file
129
docs/how-to/opik-observability.mdx
Normal file
@@ -0,0 +1,129 @@
|
||||
---
|
||||
title: Opik Integration
|
||||
description: Learn how to use Comet Opik to debug, evaluate, and monitor your CrewAI applications with comprehensive tracing, automated evaluations, and production-ready dashboards.
|
||||
icon: meteor
|
||||
---
|
||||
|
||||
# Opik Overview
|
||||
|
||||
With [Comet Opik](https://www.comet.com/docs/opik/), debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
|
||||
|
||||
<Frame caption="Opik Agent Dashboard">
|
||||
<img src="/images/opik-crewai-dashboard.png" alt="Opik agent monitoring example with CrewAI" />
|
||||
</Frame>
|
||||
|
||||
Opik provides comprehensive support for every stage of your CrewAI application development:
|
||||
|
||||
- **Log Traces and Spans**: Automatically track LLM calls and application logic to debug and analyze development and production systems. Manually or programmatically annotate, view, and compare responses across projects.
|
||||
- **Evaluate Your LLM Application's Performance**: Evaluate against a custom test set and run built-in evaluation metrics or define your own metrics in the SDK or UI.
|
||||
- **Test Within Your CI/CD Pipeline**: Establish reliable performance baselines with Opik's LLM unit tests, built on PyTest. Run online evaluations for continuous monitoring in production.
|
||||
- **Monitor & Analyze Production Data**: Understand your models' performance on unseen data in production and generate datasets for new dev iterations.
|
||||
|
||||
## Setup
|
||||
Comet provides a hosted version of the Opik platform, or you can run the platform locally.
|
||||
|
||||
To use the hosted version, simply [create a free Comet account](https://www.comet.com/signup?utm_medium=github&utm_source=crewai_docs) and grab you API Key.
|
||||
|
||||
To run the Opik platform locally, see our [installation guide](https://www.comet.com/docs/opik/self-host/overview/) for more information.
|
||||
|
||||
For this guide we will use CrewAI’s quickstart example.
|
||||
|
||||
<Steps>
|
||||
<Step title="Install required packages">
|
||||
```shell
|
||||
pip install crewai crewai-tools opik --upgrade
|
||||
```
|
||||
</Step>
|
||||
<Step title="Configure Opik">
|
||||
```python
|
||||
import opik
|
||||
opik.configure(use_local=False)
|
||||
```
|
||||
</Step>
|
||||
<Step title="Prepare environment">
|
||||
First, we set up our API keys for our LLM-provider as environment variables:
|
||||
|
||||
```python
|
||||
import os
|
||||
import getpass
|
||||
|
||||
if "OPENAI_API_KEY" not in os.environ:
|
||||
os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter your OpenAI API key: ")
|
||||
```
|
||||
</Step>
|
||||
<Step title="Using CrewAI">
|
||||
The first step is to create our project. We will use an example from CrewAI’s documentation:
|
||||
|
||||
```python
|
||||
from crewai import Agent, Crew, Task, Process
|
||||
|
||||
|
||||
class YourCrewName:
|
||||
def agent_one(self) -> Agent:
|
||||
return Agent(
|
||||
role="Data Analyst",
|
||||
goal="Analyze data trends in the market",
|
||||
backstory="An experienced data analyst with a background in economics",
|
||||
verbose=True,
|
||||
)
|
||||
|
||||
def agent_two(self) -> Agent:
|
||||
return Agent(
|
||||
role="Market Researcher",
|
||||
goal="Gather information on market dynamics",
|
||||
backstory="A diligent researcher with a keen eye for detail",
|
||||
verbose=True,
|
||||
)
|
||||
|
||||
def task_one(self) -> Task:
|
||||
return Task(
|
||||
name="Collect Data Task",
|
||||
description="Collect recent market data and identify trends.",
|
||||
expected_output="A report summarizing key trends in the market.",
|
||||
agent=self.agent_one(),
|
||||
)
|
||||
|
||||
def task_two(self) -> Task:
|
||||
return Task(
|
||||
name="Market Research Task",
|
||||
description="Research factors affecting market dynamics.",
|
||||
expected_output="An analysis of factors influencing the market.",
|
||||
agent=self.agent_two(),
|
||||
)
|
||||
|
||||
def crew(self) -> Crew:
|
||||
return Crew(
|
||||
agents=[self.agent_one(), self.agent_two()],
|
||||
tasks=[self.task_one(), self.task_two()],
|
||||
process=Process.sequential,
|
||||
verbose=True,
|
||||
)
|
||||
|
||||
```
|
||||
|
||||
Now we can import Opik’s tracker and run our crew:
|
||||
|
||||
```python
|
||||
from opik.integrations.crewai import track_crewai
|
||||
|
||||
track_crewai(project_name="crewai-integration-demo")
|
||||
|
||||
my_crew = YourCrewName().crew()
|
||||
result = my_crew.kickoff()
|
||||
|
||||
print(result)
|
||||
```
|
||||
After running your CrewAI application, visit the Opik app to view:
|
||||
- LLM traces, spans, and their metadata
|
||||
- Agent interactions and task execution flow
|
||||
- Performance metrics like latency and token usage
|
||||
- Evaluation metrics (built-in or custom)
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
## Resources
|
||||
|
||||
- [🦉 Opik Documentation](https://www.comet.com/docs/opik/)
|
||||
- [👉 Opik + CrewAI Colab](https://colab.research.google.com/github/comet-ml/opik/blob/main/apps/opik-documentation/documentation/docs/cookbook/crewai.ipynb)
|
||||
- [🐦 X](https://x.com/cometml)
|
||||
- [💬 Slack](https://slack.comet.com/)
|
||||
BIN
docs/images/opik-crewai-dashboard.png
Normal file
BIN
docs/images/opik-crewai-dashboard.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 99 KiB |
@@ -142,15 +142,13 @@ class Agent(BaseAgent):
|
||||
self.embedder = crew_embedder
|
||||
|
||||
if self.knowledge_sources:
|
||||
full_pattern = re.compile(r"[^a-zA-Z0-9\-_\r\n]|(\.\.)")
|
||||
knowledge_agent_name = f"{re.sub(full_pattern, '_', self.role)}"
|
||||
if isinstance(self.knowledge_sources, list) and all(
|
||||
isinstance(k, BaseKnowledgeSource) for k in self.knowledge_sources
|
||||
):
|
||||
self.knowledge = Knowledge(
|
||||
sources=self.knowledge_sources,
|
||||
embedder=self.embedder,
|
||||
collection_name=knowledge_agent_name,
|
||||
collection_name=self.role,
|
||||
storage=self.knowledge_storage or None,
|
||||
)
|
||||
except (TypeError, ValueError) as e:
|
||||
|
||||
@@ -20,7 +20,6 @@ from crewai.utilities import I18N, Printer
|
||||
from crewai.utilities.constants import MAX_LLM_RETRY, TRAINING_DATA_FILE
|
||||
from crewai.utilities.events import (
|
||||
ToolUsageErrorEvent,
|
||||
ToolUsageStartedEvent,
|
||||
crewai_event_bus,
|
||||
)
|
||||
from crewai.utilities.events.tool_usage_events import ToolUsageStartedEvent
|
||||
@@ -153,8 +152,21 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
|
||||
formatted_answer = self._process_llm_response(answer)
|
||||
|
||||
if isinstance(formatted_answer, AgentAction):
|
||||
# Extract agent fingerprint if available
|
||||
fingerprint_context = {}
|
||||
if (
|
||||
self.agent
|
||||
and hasattr(self.agent, "security_config")
|
||||
and hasattr(self.agent.security_config, "fingerprint")
|
||||
):
|
||||
fingerprint_context = {
|
||||
"agent_fingerprint": str(
|
||||
self.agent.security_config.fingerprint
|
||||
)
|
||||
}
|
||||
|
||||
tool_result = self._execute_tool_and_check_finality(
|
||||
formatted_answer
|
||||
formatted_answer, fingerprint_context=fingerprint_context
|
||||
)
|
||||
formatted_answer = self._handle_agent_action(
|
||||
formatted_answer, tool_result
|
||||
@@ -360,19 +372,35 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
|
||||
content=f"\033[95m## Final Answer:\033[00m \033[92m\n{formatted_answer.output}\033[00m\n\n"
|
||||
)
|
||||
|
||||
def _execute_tool_and_check_finality(self, agent_action: AgentAction) -> ToolResult:
|
||||
def _execute_tool_and_check_finality(
|
||||
self,
|
||||
agent_action: AgentAction,
|
||||
fingerprint_context: Optional[Dict[str, str]] = None,
|
||||
) -> ToolResult:
|
||||
try:
|
||||
fingerprint_context = fingerprint_context or {}
|
||||
|
||||
if self.agent:
|
||||
# Create tool usage event with fingerprint information
|
||||
event_data = {
|
||||
"agent_key": self.agent.key,
|
||||
"agent_role": self.agent.role,
|
||||
"tool_name": agent_action.tool,
|
||||
"tool_args": agent_action.tool_input,
|
||||
"tool_class": agent_action.tool,
|
||||
"agent": self.agent, # Pass the agent object for fingerprint extraction
|
||||
}
|
||||
|
||||
# Include fingerprint context
|
||||
if fingerprint_context:
|
||||
event_data.update(fingerprint_context)
|
||||
|
||||
# Emit the tool usage started event with agent information
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=ToolUsageStartedEvent(
|
||||
agent_key=self.agent.key,
|
||||
agent_role=self.agent.role,
|
||||
tool_name=agent_action.tool,
|
||||
tool_args=agent_action.tool_input,
|
||||
tool_class=agent_action.tool,
|
||||
),
|
||||
event=ToolUsageStartedEvent(**event_data),
|
||||
)
|
||||
|
||||
tool_usage = ToolUsage(
|
||||
tools_handler=self.tools_handler,
|
||||
tools=self.tools,
|
||||
@@ -383,6 +411,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
|
||||
task=self.task, # type: ignore[arg-type]
|
||||
agent=self.agent,
|
||||
action=agent_action,
|
||||
fingerprint_context=fingerprint_context, # Pass fingerprint context
|
||||
)
|
||||
tool_calling = tool_usage.parse_tool_calling(agent_action.text)
|
||||
|
||||
@@ -411,16 +440,23 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
|
||||
except Exception as e:
|
||||
# TODO: drop
|
||||
if self.agent:
|
||||
error_event_data = {
|
||||
"agent_key": self.agent.key,
|
||||
"agent_role": self.agent.role,
|
||||
"tool_name": agent_action.tool,
|
||||
"tool_args": agent_action.tool_input,
|
||||
"tool_class": agent_action.tool,
|
||||
"error": str(e),
|
||||
"agent": self.agent, # Pass the agent object for fingerprint extraction
|
||||
}
|
||||
|
||||
# Include fingerprint context
|
||||
if fingerprint_context:
|
||||
error_event_data.update(fingerprint_context)
|
||||
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=ToolUsageErrorEvent( # validation error
|
||||
agent_key=self.agent.key,
|
||||
agent_role=self.agent.role,
|
||||
tool_name=agent_action.tool,
|
||||
tool_args=agent_action.tool_input,
|
||||
tool_class=agent_action.tool,
|
||||
error=str(e),
|
||||
),
|
||||
event=ToolUsageErrorEvent(**error_event_data),
|
||||
)
|
||||
raise e
|
||||
|
||||
|
||||
@@ -1,14 +1,14 @@
|
||||
import asyncio
|
||||
import json
|
||||
import logging
|
||||
import re
|
||||
import uuid
|
||||
import warnings
|
||||
from concurrent.futures import Future
|
||||
from copy import copy as shallow_copy
|
||||
from hashlib import md5
|
||||
from typing import Any, Callable, Dict, List, Optional, Set, Tuple, TypeVar, Union, cast
|
||||
from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union, cast
|
||||
|
||||
from langchain_core.tools import BaseTool as LangchainBaseTool
|
||||
from pydantic import (
|
||||
UUID4,
|
||||
BaseModel,
|
||||
@@ -57,6 +57,7 @@ from crewai.utilities.events.crew_events import (
|
||||
)
|
||||
from crewai.utilities.events.crewai_event_bus import crewai_event_bus
|
||||
from crewai.utilities.events.event_listener import EventListener
|
||||
from crewai.utilities.exceptions.llm_error import LLMError
|
||||
from crewai.utilities.formatter import (
|
||||
aggregate_raw_outputs_from_task_outputs,
|
||||
aggregate_raw_outputs_from_tasks,
|
||||
@@ -490,7 +491,7 @@ class Crew(BaseModel):
|
||||
task.key for task in self.tasks
|
||||
]
|
||||
return md5("|".join(source).encode(), usedforsecurity=False).hexdigest()
|
||||
|
||||
|
||||
@property
|
||||
def fingerprint(self) -> Fingerprint:
|
||||
"""
|
||||
@@ -684,8 +685,23 @@ class Crew(BaseModel):
|
||||
return results
|
||||
|
||||
async def kickoff_async(self, inputs: Optional[Dict[str, Any]] = {}) -> CrewOutput:
|
||||
"""Asynchronous kickoff method to start the crew execution."""
|
||||
return await asyncio.to_thread(self.kickoff, inputs)
|
||||
"""Asynchronous kickoff method to start the crew execution.
|
||||
|
||||
Args:
|
||||
inputs (Optional[Dict[str, Any]]): Input parameters for the crew execution
|
||||
|
||||
Returns:
|
||||
CrewOutput: The result of the crew execution
|
||||
|
||||
Raises:
|
||||
LLMError: When LLM-specific errors occur
|
||||
Exception: For other unexpected errors
|
||||
"""
|
||||
try:
|
||||
return await asyncio.to_thread(self.kickoff, inputs)
|
||||
except Exception as e:
|
||||
logging.error(f"Error during async crew execution: {str(e)}")
|
||||
raise LLMError(f"Crew execution failed: {str(e)}", original_error=e)
|
||||
|
||||
async def kickoff_for_each_async(self, inputs: List[Dict]) -> List[CrewOutput]:
|
||||
crew_copies = [self.copy() for _ in inputs]
|
||||
@@ -1157,7 +1173,12 @@ class Crew(BaseModel):
|
||||
return required_inputs
|
||||
|
||||
def copy(self):
|
||||
"""Create a deep copy of the Crew."""
|
||||
"""
|
||||
Creates a deep copy of the Crew instance.
|
||||
|
||||
Returns:
|
||||
Crew: A new instance with copied components
|
||||
"""
|
||||
|
||||
exclude = {
|
||||
"id",
|
||||
@@ -1169,13 +1190,19 @@ class Crew(BaseModel):
|
||||
"_short_term_memory",
|
||||
"_long_term_memory",
|
||||
"_entity_memory",
|
||||
"_telemetry",
|
||||
"agents",
|
||||
"tasks",
|
||||
"knowledge_sources",
|
||||
"knowledge",
|
||||
"manager_agent",
|
||||
"manager_llm",
|
||||
|
||||
}
|
||||
|
||||
cloned_agents = [agent.copy() for agent in self.agents]
|
||||
manager_agent = self.manager_agent.copy() if self.manager_agent else None
|
||||
manager_llm = shallow_copy(self.manager_llm) if self.manager_llm else None
|
||||
|
||||
task_mapping = {}
|
||||
|
||||
@@ -1208,6 +1235,8 @@ class Crew(BaseModel):
|
||||
tasks=cloned_tasks,
|
||||
knowledge_sources=existing_knowledge_sources,
|
||||
knowledge=existing_knowledge,
|
||||
manager_agent=manager_agent,
|
||||
manager_llm=manager_llm,
|
||||
)
|
||||
|
||||
return copied_crew
|
||||
|
||||
@@ -14,6 +14,7 @@ from chromadb.config import Settings
|
||||
|
||||
from crewai.knowledge.storage.base_knowledge_storage import BaseKnowledgeStorage
|
||||
from crewai.utilities import EmbeddingConfigurator
|
||||
from crewai.utilities.chromadb import sanitize_collection_name
|
||||
from crewai.utilities.constants import KNOWLEDGE_DIRECTORY
|
||||
from crewai.utilities.logger import Logger
|
||||
from crewai.utilities.paths import db_storage_path
|
||||
@@ -99,7 +100,8 @@ class KnowledgeStorage(BaseKnowledgeStorage):
|
||||
)
|
||||
if self.app:
|
||||
self.collection = self.app.get_or_create_collection(
|
||||
name=collection_name, embedding_function=self.embedder
|
||||
name=sanitize_collection_name(collection_name),
|
||||
embedding_function=self.embedder,
|
||||
)
|
||||
else:
|
||||
raise Exception("Vector Database Client not initialized")
|
||||
|
||||
24
src/crewai/llms/third_party/ai_suite.py
vendored
24
src/crewai/llms/third_party/ai_suite.py
vendored
@@ -1,33 +1,13 @@
|
||||
from typing import Any, Dict, List, Optional, Union
|
||||
|
||||
import aisuite as ai
|
||||
|
||||
from crewai.llms.base_llm import BaseLLM
|
||||
|
||||
|
||||
class AISuiteLLM(BaseLLM):
|
||||
def __init__(self, model: str, temperature: Optional[float] = None, **kwargs):
|
||||
super().__init__(model, temperature, **kwargs)
|
||||
|
||||
try:
|
||||
import aisuite as ai
|
||||
except ImportError:
|
||||
import click
|
||||
|
||||
if click.confirm(
|
||||
"You are missing the 'aisuite' package. Would you like to install it?"
|
||||
):
|
||||
import subprocess
|
||||
|
||||
try:
|
||||
subprocess.run(["uv", "add", "aisuite"], check=True)
|
||||
|
||||
import aisuite as ai
|
||||
except subprocess.CalledProcessError as e:
|
||||
raise ImportError(f"Failed to install 'aisuite' package: {str(e)}")
|
||||
else:
|
||||
raise ImportError(
|
||||
"The 'aisuite' package is required for this functionality."
|
||||
)
|
||||
|
||||
self.client = ai.Client()
|
||||
|
||||
def call(
|
||||
|
||||
@@ -388,7 +388,7 @@ class Task(BaseModel):
|
||||
tools = tools or self.tools or []
|
||||
|
||||
self.processed_by_agents.add(agent.role)
|
||||
crewai_event_bus.emit(self, TaskStartedEvent(context=context))
|
||||
crewai_event_bus.emit(self, TaskStartedEvent(context=context, task=self))
|
||||
result = agent.execute_task(
|
||||
task=self,
|
||||
context=context,
|
||||
@@ -464,11 +464,11 @@ class Task(BaseModel):
|
||||
)
|
||||
)
|
||||
self._save_file(content)
|
||||
crewai_event_bus.emit(self, TaskCompletedEvent(output=task_output))
|
||||
crewai_event_bus.emit(self, TaskCompletedEvent(output=task_output, task=self))
|
||||
return task_output
|
||||
except Exception as e:
|
||||
self.end_time = datetime.datetime.now()
|
||||
crewai_event_bus.emit(self, TaskFailedEvent(error=str(e)))
|
||||
crewai_event_bus.emit(self, TaskFailedEvent(error=str(e), task=self))
|
||||
raise e # Re-raise the exception after emitting the event
|
||||
|
||||
def prompt(self) -> str:
|
||||
@@ -572,7 +572,15 @@ class Task(BaseModel):
|
||||
def copy(
|
||||
self, agents: List["BaseAgent"], task_mapping: Dict[str, "Task"]
|
||||
) -> "Task":
|
||||
"""Create a deep copy of the Task."""
|
||||
"""Creates a deep copy of the Task while preserving its original class type.
|
||||
|
||||
Args:
|
||||
agents: List of agents available for the task.
|
||||
task_mapping: Dictionary mapping task IDs to Task instances.
|
||||
|
||||
Returns:
|
||||
A copy of the task with the same class type as the original.
|
||||
"""
|
||||
exclude = {
|
||||
"id",
|
||||
"agent",
|
||||
@@ -595,7 +603,7 @@ class Task(BaseModel):
|
||||
cloned_agent = get_agent_by_role(self.agent.role) if self.agent else None
|
||||
cloned_tools = copy(self.tools) if self.tools else []
|
||||
|
||||
copied_task = Task(
|
||||
copied_task = self.__class__(
|
||||
**copied_data,
|
||||
context=cloned_context,
|
||||
agent=cloned_agent,
|
||||
|
||||
@@ -112,6 +112,23 @@ class Telemetry:
|
||||
self._add_attribute(span, "crew_memory", crew.memory)
|
||||
self._add_attribute(span, "crew_number_of_tasks", len(crew.tasks))
|
||||
self._add_attribute(span, "crew_number_of_agents", len(crew.agents))
|
||||
|
||||
# Add fingerprint data
|
||||
if hasattr(crew, "fingerprint") and crew.fingerprint:
|
||||
self._add_attribute(span, "crew_fingerprint", crew.fingerprint.uuid_str)
|
||||
self._add_attribute(
|
||||
span,
|
||||
"crew_fingerprint_created_at",
|
||||
crew.fingerprint.created_at.isoformat(),
|
||||
)
|
||||
# Add fingerprint metadata if it exists
|
||||
if hasattr(crew.fingerprint, "metadata") and crew.fingerprint.metadata:
|
||||
self._add_attribute(
|
||||
span,
|
||||
"crew_fingerprint_metadata",
|
||||
json.dumps(crew.fingerprint.metadata),
|
||||
)
|
||||
|
||||
if crew.share_crew:
|
||||
self._add_attribute(
|
||||
span,
|
||||
@@ -129,17 +146,43 @@ class Telemetry:
|
||||
"max_rpm": agent.max_rpm,
|
||||
"i18n": agent.i18n.prompt_file,
|
||||
"function_calling_llm": (
|
||||
agent.function_calling_llm.model
|
||||
if agent.function_calling_llm
|
||||
getattr(
|
||||
getattr(agent, "function_calling_llm", None),
|
||||
"model",
|
||||
"",
|
||||
)
|
||||
if getattr(agent, "function_calling_llm", None)
|
||||
else ""
|
||||
),
|
||||
"llm": agent.llm.model,
|
||||
"delegation_enabled?": agent.allow_delegation,
|
||||
"allow_code_execution?": agent.allow_code_execution,
|
||||
"max_retry_limit": agent.max_retry_limit,
|
||||
"allow_code_execution?": getattr(
|
||||
agent, "allow_code_execution", False
|
||||
),
|
||||
"max_retry_limit": getattr(agent, "max_retry_limit", 3),
|
||||
"tools_names": [
|
||||
tool.name.casefold() for tool in agent.tools or []
|
||||
],
|
||||
# Add agent fingerprint data if sharing crew details
|
||||
"fingerprint": (
|
||||
getattr(
|
||||
getattr(agent, "fingerprint", None),
|
||||
"uuid_str",
|
||||
None,
|
||||
)
|
||||
),
|
||||
"fingerprint_created_at": (
|
||||
created_at.isoformat()
|
||||
if (
|
||||
created_at := getattr(
|
||||
getattr(agent, "fingerprint", None),
|
||||
"created_at",
|
||||
None,
|
||||
)
|
||||
)
|
||||
is not None
|
||||
else None
|
||||
),
|
||||
}
|
||||
for agent in crew.agents
|
||||
]
|
||||
@@ -169,6 +212,17 @@ class Telemetry:
|
||||
"tools_names": [
|
||||
tool.name.casefold() for tool in task.tools or []
|
||||
],
|
||||
# Add task fingerprint data if sharing crew details
|
||||
"fingerprint": (
|
||||
task.fingerprint.uuid_str
|
||||
if hasattr(task, "fingerprint") and task.fingerprint
|
||||
else None
|
||||
),
|
||||
"fingerprint_created_at": (
|
||||
task.fingerprint.created_at.isoformat()
|
||||
if hasattr(task, "fingerprint") and task.fingerprint
|
||||
else None
|
||||
),
|
||||
}
|
||||
for task in crew.tasks
|
||||
]
|
||||
@@ -196,14 +250,20 @@ class Telemetry:
|
||||
"max_iter": agent.max_iter,
|
||||
"max_rpm": agent.max_rpm,
|
||||
"function_calling_llm": (
|
||||
agent.function_calling_llm.model
|
||||
if agent.function_calling_llm
|
||||
getattr(
|
||||
getattr(agent, "function_calling_llm", None),
|
||||
"model",
|
||||
"",
|
||||
)
|
||||
if getattr(agent, "function_calling_llm", None)
|
||||
else ""
|
||||
),
|
||||
"llm": agent.llm.model,
|
||||
"delegation_enabled?": agent.allow_delegation,
|
||||
"allow_code_execution?": agent.allow_code_execution,
|
||||
"max_retry_limit": agent.max_retry_limit,
|
||||
"allow_code_execution?": getattr(
|
||||
agent, "allow_code_execution", False
|
||||
),
|
||||
"max_retry_limit": getattr(agent, "max_retry_limit", 3),
|
||||
"tools_names": [
|
||||
tool.name.casefold() for tool in agent.tools or []
|
||||
],
|
||||
@@ -252,6 +312,39 @@ class Telemetry:
|
||||
self._add_attribute(created_span, "task_key", task.key)
|
||||
self._add_attribute(created_span, "task_id", str(task.id))
|
||||
|
||||
# Add fingerprint data
|
||||
if hasattr(crew, "fingerprint") and crew.fingerprint:
|
||||
self._add_attribute(
|
||||
created_span, "crew_fingerprint", crew.fingerprint.uuid_str
|
||||
)
|
||||
|
||||
if hasattr(task, "fingerprint") and task.fingerprint:
|
||||
self._add_attribute(
|
||||
created_span, "task_fingerprint", task.fingerprint.uuid_str
|
||||
)
|
||||
self._add_attribute(
|
||||
created_span,
|
||||
"task_fingerprint_created_at",
|
||||
task.fingerprint.created_at.isoformat(),
|
||||
)
|
||||
# Add fingerprint metadata if it exists
|
||||
if hasattr(task.fingerprint, "metadata") and task.fingerprint.metadata:
|
||||
self._add_attribute(
|
||||
created_span,
|
||||
"task_fingerprint_metadata",
|
||||
json.dumps(task.fingerprint.metadata),
|
||||
)
|
||||
|
||||
# Add agent fingerprint if task has an assigned agent
|
||||
if hasattr(task, "agent") and task.agent:
|
||||
agent_fingerprint = getattr(
|
||||
getattr(task.agent, "fingerprint", None), "uuid_str", None
|
||||
)
|
||||
if agent_fingerprint:
|
||||
self._add_attribute(
|
||||
created_span, "agent_fingerprint", agent_fingerprint
|
||||
)
|
||||
|
||||
if crew.share_crew:
|
||||
self._add_attribute(
|
||||
created_span, "formatted_description", task.description
|
||||
@@ -270,6 +363,21 @@ class Telemetry:
|
||||
self._add_attribute(span, "task_key", task.key)
|
||||
self._add_attribute(span, "task_id", str(task.id))
|
||||
|
||||
# Add fingerprint data to execution span
|
||||
if hasattr(crew, "fingerprint") and crew.fingerprint:
|
||||
self._add_attribute(span, "crew_fingerprint", crew.fingerprint.uuid_str)
|
||||
|
||||
if hasattr(task, "fingerprint") and task.fingerprint:
|
||||
self._add_attribute(span, "task_fingerprint", task.fingerprint.uuid_str)
|
||||
|
||||
# Add agent fingerprint if task has an assigned agent
|
||||
if hasattr(task, "agent") and task.agent:
|
||||
agent_fingerprint = getattr(
|
||||
getattr(task.agent, "fingerprint", None), "uuid_str", None
|
||||
)
|
||||
if agent_fingerprint:
|
||||
self._add_attribute(span, "agent_fingerprint", agent_fingerprint)
|
||||
|
||||
if crew.share_crew:
|
||||
self._add_attribute(span, "formatted_description", task.description)
|
||||
self._add_attribute(
|
||||
@@ -291,7 +399,12 @@ class Telemetry:
|
||||
Note:
|
||||
If share_crew is enabled, this will also record the task output
|
||||
"""
|
||||
|
||||
def operation():
|
||||
# Ensure fingerprint data is present on completion span
|
||||
if hasattr(task, "fingerprint") and task.fingerprint:
|
||||
self._add_attribute(span, "task_fingerprint", task.fingerprint.uuid_str)
|
||||
|
||||
if crew.share_crew:
|
||||
self._add_attribute(
|
||||
span,
|
||||
@@ -312,6 +425,7 @@ class Telemetry:
|
||||
tool_name (str): Name of the tool being repeatedly used
|
||||
attempts (int): Number of attempts made with this tool
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Tool Repeated Usage")
|
||||
@@ -329,14 +443,16 @@ class Telemetry:
|
||||
|
||||
self._safe_telemetry_operation(operation)
|
||||
|
||||
def tool_usage(self, llm: Any, tool_name: str, attempts: int):
|
||||
def tool_usage(self, llm: Any, tool_name: str, attempts: int, agent: Any = None):
|
||||
"""Records the usage of a tool by an agent.
|
||||
|
||||
Args:
|
||||
llm (Any): The language model being used
|
||||
tool_name (str): Name of the tool being used
|
||||
attempts (int): Number of attempts made with this tool
|
||||
agent (Any, optional): The agent using the tool
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Tool Usage")
|
||||
@@ -349,17 +465,31 @@ class Telemetry:
|
||||
self._add_attribute(span, "attempts", attempts)
|
||||
if llm:
|
||||
self._add_attribute(span, "llm", llm.model)
|
||||
|
||||
# Add agent fingerprint data if available
|
||||
if agent and hasattr(agent, "fingerprint") and agent.fingerprint:
|
||||
self._add_attribute(
|
||||
span, "agent_fingerprint", agent.fingerprint.uuid_str
|
||||
)
|
||||
if hasattr(agent, "role"):
|
||||
self._add_attribute(span, "agent_role", agent.role)
|
||||
|
||||
span.set_status(Status(StatusCode.OK))
|
||||
span.end()
|
||||
|
||||
self._safe_telemetry_operation(operation)
|
||||
|
||||
def tool_usage_error(self, llm: Any):
|
||||
def tool_usage_error(
|
||||
self, llm: Any, agent: Any = None, tool_name: Optional[str] = None
|
||||
):
|
||||
"""Records when a tool usage results in an error.
|
||||
|
||||
Args:
|
||||
llm (Any): The language model being used when the error occurred
|
||||
agent (Any, optional): The agent using the tool
|
||||
tool_name (str, optional): Name of the tool that caused the error
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Tool Usage Error")
|
||||
@@ -370,6 +500,18 @@ class Telemetry:
|
||||
)
|
||||
if llm:
|
||||
self._add_attribute(span, "llm", llm.model)
|
||||
|
||||
if tool_name:
|
||||
self._add_attribute(span, "tool_name", tool_name)
|
||||
|
||||
# Add agent fingerprint data if available
|
||||
if agent and hasattr(agent, "fingerprint") and agent.fingerprint:
|
||||
self._add_attribute(
|
||||
span, "agent_fingerprint", agent.fingerprint.uuid_str
|
||||
)
|
||||
if hasattr(agent, "role"):
|
||||
self._add_attribute(span, "agent_role", agent.role)
|
||||
|
||||
span.set_status(Status(StatusCode.OK))
|
||||
span.end()
|
||||
|
||||
@@ -386,6 +528,7 @@ class Telemetry:
|
||||
exec_time (int): Execution time in seconds
|
||||
model_name (str): Name of the model used
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Crew Individual Test Result")
|
||||
@@ -420,6 +563,7 @@ class Telemetry:
|
||||
inputs (dict[str, Any] | None): Input parameters for the test
|
||||
model_name (str): Name of the model used in testing
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Crew Test Execution")
|
||||
@@ -446,6 +590,7 @@ class Telemetry:
|
||||
|
||||
def deploy_signup_error_span(self):
|
||||
"""Records when an error occurs during the deployment signup process."""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Deploy Signup Error")
|
||||
@@ -460,6 +605,7 @@ class Telemetry:
|
||||
Args:
|
||||
uuid (Optional[str]): Unique identifier for the deployment
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Start Deployment")
|
||||
@@ -472,6 +618,7 @@ class Telemetry:
|
||||
|
||||
def create_crew_deployment_span(self):
|
||||
"""Records the creation of a new crew deployment."""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Create Crew Deployment")
|
||||
@@ -487,6 +634,7 @@ class Telemetry:
|
||||
uuid (Optional[str]): Unique identifier for the crew
|
||||
log_type (str, optional): Type of logs being retrieved. Defaults to "deployment".
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Get Crew Logs")
|
||||
@@ -504,6 +652,7 @@ class Telemetry:
|
||||
Args:
|
||||
uuid (Optional[str]): Unique identifier for the crew being removed
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Remove Crew")
|
||||
@@ -634,6 +783,7 @@ class Telemetry:
|
||||
Args:
|
||||
flow_name (str): Name of the flow being created
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Flow Creation")
|
||||
@@ -650,6 +800,7 @@ class Telemetry:
|
||||
flow_name (str): Name of the flow being plotted
|
||||
node_names (list[str]): List of node names in the flow
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Flow Plotting")
|
||||
@@ -667,6 +818,7 @@ class Telemetry:
|
||||
flow_name (str): Name of the flow being executed
|
||||
node_names (list[str]): List of nodes being executed in the flow
|
||||
"""
|
||||
|
||||
def operation():
|
||||
tracer = trace.get_tracer("crewai.telemetry")
|
||||
span = tracer.start_span("Flow Execution")
|
||||
|
||||
@@ -22,6 +22,7 @@ from crewai.utilities.events.tool_usage_events import (
|
||||
ToolSelectionErrorEvent,
|
||||
ToolUsageErrorEvent,
|
||||
ToolUsageFinishedEvent,
|
||||
ToolUsageStartedEvent,
|
||||
ToolValidateInputErrorEvent,
|
||||
)
|
||||
|
||||
@@ -69,6 +70,7 @@ class ToolUsage:
|
||||
function_calling_llm: Any,
|
||||
agent: Any,
|
||||
action: Any,
|
||||
fingerprint_context: Optional[Dict[str, str]] = None,
|
||||
) -> None:
|
||||
self._i18n: I18N = agent.i18n
|
||||
self._printer: Printer = Printer()
|
||||
@@ -85,6 +87,7 @@ class ToolUsage:
|
||||
self.task = task
|
||||
self.action = action
|
||||
self.function_calling_llm = function_calling_llm
|
||||
self.fingerprint_context = fingerprint_context or {}
|
||||
|
||||
# Set the maximum parsing attempts for bigger models
|
||||
if (
|
||||
@@ -117,7 +120,10 @@ class ToolUsage:
|
||||
self._printer.print(content=f"\n\n{error}\n", color="red")
|
||||
return error
|
||||
|
||||
if isinstance(tool, CrewStructuredTool) and tool.name == self._i18n.tools("add_image")["name"]: # type: ignore
|
||||
if (
|
||||
isinstance(tool, CrewStructuredTool)
|
||||
and tool.name == self._i18n.tools("add_image")["name"] # type: ignore
|
||||
):
|
||||
try:
|
||||
result = self._use(tool_string=tool_string, tool=tool, calling=calling)
|
||||
return result
|
||||
@@ -181,18 +187,26 @@ class ToolUsage:
|
||||
|
||||
if calling.arguments:
|
||||
try:
|
||||
acceptable_args = tool.args_schema.model_json_schema()["properties"].keys() # type: ignore
|
||||
acceptable_args = tool.args_schema.model_json_schema()[
|
||||
"properties"
|
||||
].keys() # type: ignore
|
||||
arguments = {
|
||||
k: v
|
||||
for k, v in calling.arguments.items()
|
||||
if k in acceptable_args
|
||||
}
|
||||
# Add fingerprint metadata if available
|
||||
arguments = self._add_fingerprint_metadata(arguments)
|
||||
result = tool.invoke(input=arguments)
|
||||
except Exception:
|
||||
arguments = calling.arguments
|
||||
# Add fingerprint metadata if available
|
||||
arguments = self._add_fingerprint_metadata(arguments)
|
||||
result = tool.invoke(input=arguments)
|
||||
else:
|
||||
result = tool.invoke(input={})
|
||||
# Add fingerprint metadata even to empty arguments
|
||||
arguments = self._add_fingerprint_metadata({})
|
||||
result = tool.invoke(input=arguments)
|
||||
except Exception as e:
|
||||
self.on_tool_error(tool=tool, tool_calling=calling, e=e)
|
||||
self._run_attempts += 1
|
||||
@@ -202,7 +216,7 @@ class ToolUsage:
|
||||
error=e, tool=tool.name, tool_inputs=tool.description
|
||||
)
|
||||
error = ToolUsageErrorException(
|
||||
f'\n{error_message}.\nMoving on then. {self._i18n.slice("format").format(tool_names=self.tools_names)}'
|
||||
f"\n{error_message}.\nMoving on then. {self._i18n.slice('format').format(tool_names=self.tools_names)}"
|
||||
).message
|
||||
self.task.increment_tools_errors()
|
||||
if self.agent.verbose:
|
||||
@@ -244,6 +258,7 @@ class ToolUsage:
|
||||
tool_calling=calling,
|
||||
from_cache=from_cache,
|
||||
started_at=started_at,
|
||||
result=result,
|
||||
)
|
||||
|
||||
if (
|
||||
@@ -380,7 +395,7 @@ class ToolUsage:
|
||||
raise
|
||||
else:
|
||||
return ToolUsageErrorException(
|
||||
f'{self._i18n.errors("tool_arguments_error")}'
|
||||
f"{self._i18n.errors('tool_arguments_error')}"
|
||||
)
|
||||
|
||||
if not isinstance(arguments, dict):
|
||||
@@ -388,7 +403,7 @@ class ToolUsage:
|
||||
raise
|
||||
else:
|
||||
return ToolUsageErrorException(
|
||||
f'{self._i18n.errors("tool_arguments_error")}'
|
||||
f"{self._i18n.errors('tool_arguments_error')}"
|
||||
)
|
||||
|
||||
return ToolCalling(
|
||||
@@ -416,7 +431,7 @@ class ToolUsage:
|
||||
if self.agent.verbose:
|
||||
self._printer.print(content=f"\n\n{e}\n", color="red")
|
||||
return ToolUsageErrorException( # type: ignore # Incompatible return value type (got "ToolUsageErrorException", expected "ToolCalling | InstructorToolCalling")
|
||||
f'{self._i18n.errors("tool_usage_error").format(error=e)}\nMoving on then. {self._i18n.slice("format").format(tool_names=self.tools_names)}'
|
||||
f"{self._i18n.errors('tool_usage_error').format(error=e)}\nMoving on then. {self._i18n.slice('format').format(tool_names=self.tools_names)}"
|
||||
)
|
||||
return self._tool_calling(tool_string)
|
||||
|
||||
@@ -480,8 +495,13 @@ class ToolUsage:
|
||||
"tool_name": self.action.tool,
|
||||
"tool_args": str(self.action.tool_input),
|
||||
"tool_class": self.__class__.__name__,
|
||||
"agent": self.agent, # Adding agent for fingerprint extraction
|
||||
}
|
||||
|
||||
# Include fingerprint context if available
|
||||
if self.fingerprint_context:
|
||||
tool_selection_data.update(self.fingerprint_context)
|
||||
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
ToolValidateInputErrorEvent(**tool_selection_data, error=final_error),
|
||||
@@ -492,7 +512,12 @@ class ToolUsage:
|
||||
crewai_event_bus.emit(self, ToolUsageErrorEvent(**{**event_data, "error": e}))
|
||||
|
||||
def on_tool_use_finished(
|
||||
self, tool: Any, tool_calling: ToolCalling, from_cache: bool, started_at: float
|
||||
self,
|
||||
tool: Any,
|
||||
tool_calling: ToolCalling,
|
||||
from_cache: bool,
|
||||
started_at: float,
|
||||
result: Any,
|
||||
) -> None:
|
||||
finished_at = time.time()
|
||||
event_data = self._prepare_event_data(tool, tool_calling)
|
||||
@@ -501,12 +526,13 @@ class ToolUsage:
|
||||
"started_at": datetime.datetime.fromtimestamp(started_at),
|
||||
"finished_at": datetime.datetime.fromtimestamp(finished_at),
|
||||
"from_cache": from_cache,
|
||||
"output": result,
|
||||
}
|
||||
)
|
||||
crewai_event_bus.emit(self, ToolUsageFinishedEvent(**event_data))
|
||||
|
||||
def _prepare_event_data(self, tool: Any, tool_calling: ToolCalling) -> dict:
|
||||
return {
|
||||
event_data = {
|
||||
"agent_key": self.agent.key,
|
||||
"agent_role": (self.agent._original_role or self.agent.role),
|
||||
"run_attempts": self._run_attempts,
|
||||
@@ -514,4 +540,43 @@ class ToolUsage:
|
||||
"tool_name": tool.name,
|
||||
"tool_args": tool_calling.arguments,
|
||||
"tool_class": tool.__class__.__name__,
|
||||
"agent": self.agent, # Adding agent for fingerprint extraction
|
||||
}
|
||||
|
||||
# Include fingerprint context if available
|
||||
if self.fingerprint_context:
|
||||
event_data.update(self.fingerprint_context)
|
||||
|
||||
return event_data
|
||||
|
||||
def _add_fingerprint_metadata(self, arguments: dict) -> dict:
|
||||
"""Add fingerprint metadata to tool arguments if available.
|
||||
|
||||
Args:
|
||||
arguments: The original tool arguments
|
||||
|
||||
Returns:
|
||||
Updated arguments dictionary with fingerprint metadata
|
||||
"""
|
||||
# Create a shallow copy to avoid modifying the original
|
||||
arguments = arguments.copy()
|
||||
|
||||
# Add security metadata under a designated key
|
||||
if not "security_context" in arguments:
|
||||
arguments["security_context"] = {}
|
||||
|
||||
security_context = arguments["security_context"]
|
||||
|
||||
# Add agent fingerprint if available
|
||||
if hasattr(self, "agent") and hasattr(self.agent, "security_config"):
|
||||
security_context["agent_fingerprint"] = self.agent.security_config.fingerprint.to_dict()
|
||||
|
||||
# Add task fingerprint if available
|
||||
if hasattr(self, "task") and hasattr(self.task, "security_config"):
|
||||
security_context["task_fingerprint"] = self.task.security_config.fingerprint.to_dict()
|
||||
|
||||
# Add crew fingerprint if available
|
||||
if hasattr(self, "crew") and hasattr(self.crew, "security_config"):
|
||||
security_context["crew_fingerprint"] = self.crew.security_config.fingerprint.to_dict()
|
||||
|
||||
return arguments
|
||||
|
||||
62
src/crewai/utilities/chromadb.py
Normal file
62
src/crewai/utilities/chromadb.py
Normal file
@@ -0,0 +1,62 @@
|
||||
import re
|
||||
from typing import Optional
|
||||
|
||||
MIN_COLLECTION_LENGTH = 3
|
||||
MAX_COLLECTION_LENGTH = 63
|
||||
DEFAULT_COLLECTION = "default_collection"
|
||||
|
||||
# Compiled regex patterns for better performance
|
||||
INVALID_CHARS_PATTERN = re.compile(r"[^a-zA-Z0-9_-]")
|
||||
IPV4_PATTERN = re.compile(r"^(\d{1,3}\.){3}\d{1,3}$")
|
||||
|
||||
|
||||
def is_ipv4_pattern(name: str) -> bool:
|
||||
"""
|
||||
Check if a string matches an IPv4 address pattern.
|
||||
|
||||
Args:
|
||||
name: The string to check
|
||||
|
||||
Returns:
|
||||
True if the string matches an IPv4 pattern, False otherwise
|
||||
"""
|
||||
return bool(IPV4_PATTERN.match(name))
|
||||
|
||||
|
||||
def sanitize_collection_name(name: Optional[str]) -> str:
|
||||
"""
|
||||
Sanitize a collection name to meet ChromaDB requirements:
|
||||
1. 3-63 characters long
|
||||
2. Starts and ends with alphanumeric character
|
||||
3. Contains only alphanumeric characters, underscores, or hyphens
|
||||
4. No consecutive periods
|
||||
5. Not a valid IPv4 address
|
||||
|
||||
Args:
|
||||
name: The original collection name to sanitize
|
||||
|
||||
Returns:
|
||||
A sanitized collection name that meets ChromaDB requirements
|
||||
"""
|
||||
if not name:
|
||||
return DEFAULT_COLLECTION
|
||||
|
||||
if is_ipv4_pattern(name):
|
||||
name = f"ip_{name}"
|
||||
|
||||
sanitized = INVALID_CHARS_PATTERN.sub("_", name)
|
||||
|
||||
if not sanitized[0].isalnum():
|
||||
sanitized = "a" + sanitized
|
||||
|
||||
if not sanitized[-1].isalnum():
|
||||
sanitized = sanitized[:-1] + "z"
|
||||
|
||||
if len(sanitized) < MIN_COLLECTION_LENGTH:
|
||||
sanitized = sanitized + "x" * (MIN_COLLECTION_LENGTH - len(sanitized))
|
||||
if len(sanitized) > MAX_COLLECTION_LENGTH:
|
||||
sanitized = sanitized[:MAX_COLLECTION_LENGTH]
|
||||
if not sanitized[-1].isalnum():
|
||||
sanitized = sanitized[:-1] + "z"
|
||||
|
||||
return sanitized
|
||||
@@ -45,7 +45,7 @@ class TaskEvaluator:
|
||||
|
||||
def evaluate(self, task, output) -> TaskEvaluation:
|
||||
crewai_event_bus.emit(
|
||||
self, TaskEvaluationEvent(evaluation_type="task_evaluation")
|
||||
self, TaskEvaluationEvent(evaluation_type="task_evaluation", task=task)
|
||||
)
|
||||
evaluation_query = (
|
||||
f"Assess the quality of the task completed based on the description, expected output, and actual results.\n\n"
|
||||
|
||||
@@ -4,13 +4,13 @@ from crewai.agents.agent_builder.base_agent import BaseAgent
|
||||
from crewai.tools.base_tool import BaseTool
|
||||
from crewai.tools.structured_tool import CrewStructuredTool
|
||||
|
||||
from .base_events import CrewEvent
|
||||
from .base_events import BaseEvent
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from crewai.agents.agent_builder.base_agent import BaseAgent
|
||||
|
||||
|
||||
class AgentExecutionStartedEvent(CrewEvent):
|
||||
class AgentExecutionStartedEvent(BaseEvent):
|
||||
"""Event emitted when an agent starts executing a task"""
|
||||
|
||||
agent: BaseAgent
|
||||
@@ -21,8 +21,20 @@ class AgentExecutionStartedEvent(CrewEvent):
|
||||
|
||||
model_config = {"arbitrary_types_allowed": True}
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
# Set fingerprint data from the agent
|
||||
if hasattr(self.agent, "fingerprint") and self.agent.fingerprint:
|
||||
self.source_fingerprint = self.agent.fingerprint.uuid_str
|
||||
self.source_type = "agent"
|
||||
if (
|
||||
hasattr(self.agent.fingerprint, "metadata")
|
||||
and self.agent.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.agent.fingerprint.metadata
|
||||
|
||||
class AgentExecutionCompletedEvent(CrewEvent):
|
||||
|
||||
class AgentExecutionCompletedEvent(BaseEvent):
|
||||
"""Event emitted when an agent completes executing a task"""
|
||||
|
||||
agent: BaseAgent
|
||||
@@ -30,11 +42,35 @@ class AgentExecutionCompletedEvent(CrewEvent):
|
||||
output: str
|
||||
type: str = "agent_execution_completed"
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
# Set fingerprint data from the agent
|
||||
if hasattr(self.agent, "fingerprint") and self.agent.fingerprint:
|
||||
self.source_fingerprint = self.agent.fingerprint.uuid_str
|
||||
self.source_type = "agent"
|
||||
if (
|
||||
hasattr(self.agent.fingerprint, "metadata")
|
||||
and self.agent.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.agent.fingerprint.metadata
|
||||
|
||||
class AgentExecutionErrorEvent(CrewEvent):
|
||||
|
||||
class AgentExecutionErrorEvent(BaseEvent):
|
||||
"""Event emitted when an agent encounters an error during execution"""
|
||||
|
||||
agent: BaseAgent
|
||||
task: Any
|
||||
error: str
|
||||
type: str = "agent_execution_error"
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
# Set fingerprint data from the agent
|
||||
if hasattr(self.agent, "fingerprint") and self.agent.fingerprint:
|
||||
self.source_fingerprint = self.agent.fingerprint.uuid_str
|
||||
self.source_type = "agent"
|
||||
if (
|
||||
hasattr(self.agent.fingerprint, "metadata")
|
||||
and self.agent.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.agent.fingerprint.metadata
|
||||
|
||||
@@ -1,10 +1,28 @@
|
||||
from datetime import datetime
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from crewai.utilities.serialization import to_serializable
|
||||
|
||||
class CrewEvent(BaseModel):
|
||||
"""Base class for all crew events"""
|
||||
|
||||
class BaseEvent(BaseModel):
|
||||
"""Base class for all events"""
|
||||
|
||||
timestamp: datetime = Field(default_factory=datetime.now)
|
||||
type: str
|
||||
source_fingerprint: Optional[str] = None # UUID string of the source entity
|
||||
source_type: Optional[str] = None # "agent", "task", "crew"
|
||||
fingerprint_metadata: Optional[Dict[str, Any]] = None # Any relevant metadata
|
||||
|
||||
def to_json(self, exclude: set[str] | None = None):
|
||||
"""
|
||||
Converts the event to a JSON-serializable dictionary.
|
||||
|
||||
Args:
|
||||
exclude (set[str], optional): Set of keys to exclude from the result. Defaults to None.
|
||||
|
||||
Returns:
|
||||
dict: A JSON-serializable dictionary.
|
||||
"""
|
||||
return to_serializable(self, exclude=exclude)
|
||||
|
||||
@@ -1,81 +1,102 @@
|
||||
from typing import Any, Dict, Optional, Union
|
||||
from typing import TYPE_CHECKING, Any, Dict, Optional, Union
|
||||
|
||||
from pydantic import InstanceOf
|
||||
from crewai.utilities.events.base_events import BaseEvent
|
||||
|
||||
from crewai.utilities.events.base_events import CrewEvent
|
||||
if TYPE_CHECKING:
|
||||
from crewai.crew import Crew
|
||||
else:
|
||||
Crew = Any
|
||||
|
||||
|
||||
class CrewKickoffStartedEvent(CrewEvent):
|
||||
"""Event emitted when a crew starts execution"""
|
||||
class CrewBaseEvent(BaseEvent):
|
||||
"""Base class for crew events with fingerprint handling"""
|
||||
|
||||
crew_name: Optional[str]
|
||||
crew: Optional[Crew] = None
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
self.set_crew_fingerprint()
|
||||
|
||||
def set_crew_fingerprint(self) -> None:
|
||||
if self.crew and hasattr(self.crew, "fingerprint") and self.crew.fingerprint:
|
||||
self.source_fingerprint = self.crew.fingerprint.uuid_str
|
||||
self.source_type = "crew"
|
||||
if (
|
||||
hasattr(self.crew.fingerprint, "metadata")
|
||||
and self.crew.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.crew.fingerprint.metadata
|
||||
|
||||
def to_json(self, exclude: set[str] | None = None):
|
||||
if exclude is None:
|
||||
exclude = set()
|
||||
exclude.add("crew")
|
||||
return super().to_json(exclude=exclude)
|
||||
|
||||
|
||||
class CrewKickoffStartedEvent(CrewBaseEvent):
|
||||
"""Event emitted when a crew starts execution"""
|
||||
|
||||
inputs: Optional[Dict[str, Any]]
|
||||
type: str = "crew_kickoff_started"
|
||||
|
||||
|
||||
class CrewKickoffCompletedEvent(CrewEvent):
|
||||
class CrewKickoffCompletedEvent(CrewBaseEvent):
|
||||
"""Event emitted when a crew completes execution"""
|
||||
|
||||
crew_name: Optional[str]
|
||||
output: Any
|
||||
type: str = "crew_kickoff_completed"
|
||||
|
||||
|
||||
class CrewKickoffFailedEvent(CrewEvent):
|
||||
class CrewKickoffFailedEvent(CrewBaseEvent):
|
||||
"""Event emitted when a crew fails to complete execution"""
|
||||
|
||||
error: str
|
||||
crew_name: Optional[str]
|
||||
type: str = "crew_kickoff_failed"
|
||||
|
||||
|
||||
class CrewTrainStartedEvent(CrewEvent):
|
||||
class CrewTrainStartedEvent(CrewBaseEvent):
|
||||
"""Event emitted when a crew starts training"""
|
||||
|
||||
crew_name: Optional[str]
|
||||
n_iterations: int
|
||||
filename: str
|
||||
inputs: Optional[Dict[str, Any]]
|
||||
type: str = "crew_train_started"
|
||||
|
||||
|
||||
class CrewTrainCompletedEvent(CrewEvent):
|
||||
class CrewTrainCompletedEvent(CrewBaseEvent):
|
||||
"""Event emitted when a crew completes training"""
|
||||
|
||||
crew_name: Optional[str]
|
||||
n_iterations: int
|
||||
filename: str
|
||||
type: str = "crew_train_completed"
|
||||
|
||||
|
||||
class CrewTrainFailedEvent(CrewEvent):
|
||||
class CrewTrainFailedEvent(CrewBaseEvent):
|
||||
"""Event emitted when a crew fails to complete training"""
|
||||
|
||||
error: str
|
||||
crew_name: Optional[str]
|
||||
type: str = "crew_train_failed"
|
||||
|
||||
|
||||
class CrewTestStartedEvent(CrewEvent):
|
||||
class CrewTestStartedEvent(CrewBaseEvent):
|
||||
"""Event emitted when a crew starts testing"""
|
||||
|
||||
crew_name: Optional[str]
|
||||
n_iterations: int
|
||||
eval_llm: Optional[Union[str, Any]]
|
||||
inputs: Optional[Dict[str, Any]]
|
||||
type: str = "crew_test_started"
|
||||
|
||||
|
||||
class CrewTestCompletedEvent(CrewEvent):
|
||||
class CrewTestCompletedEvent(CrewBaseEvent):
|
||||
"""Event emitted when a crew completes testing"""
|
||||
|
||||
crew_name: Optional[str]
|
||||
type: str = "crew_test_completed"
|
||||
|
||||
|
||||
class CrewTestFailedEvent(CrewEvent):
|
||||
class CrewTestFailedEvent(CrewBaseEvent):
|
||||
"""Event emitted when a crew fails to complete testing"""
|
||||
|
||||
error: str
|
||||
crew_name: Optional[str]
|
||||
type: str = "crew_test_failed"
|
||||
|
||||
@@ -4,10 +4,10 @@ from typing import Any, Callable, Dict, List, Type, TypeVar, cast
|
||||
|
||||
from blinker import Signal
|
||||
|
||||
from crewai.utilities.events.base_events import CrewEvent
|
||||
from crewai.utilities.events.base_events import BaseEvent
|
||||
from crewai.utilities.events.event_types import EventTypes
|
||||
|
||||
EventT = TypeVar("EventT", bound=CrewEvent)
|
||||
EventT = TypeVar("EventT", bound=BaseEvent)
|
||||
|
||||
|
||||
class CrewAIEventsBus:
|
||||
@@ -30,7 +30,7 @@ class CrewAIEventsBus:
|
||||
def _initialize(self) -> None:
|
||||
"""Initialize the event bus internal state"""
|
||||
self._signal = Signal("crewai_event_bus")
|
||||
self._handlers: Dict[Type[CrewEvent], List[Callable]] = {}
|
||||
self._handlers: Dict[Type[BaseEvent], List[Callable]] = {}
|
||||
|
||||
def on(
|
||||
self, event_type: Type[EventT]
|
||||
@@ -59,7 +59,7 @@ class CrewAIEventsBus:
|
||||
|
||||
return decorator
|
||||
|
||||
def emit(self, source: Any, event: CrewEvent) -> None:
|
||||
def emit(self, source: Any, event: BaseEvent) -> None:
|
||||
"""
|
||||
Emit an event to all registered handlers
|
||||
|
||||
|
||||
@@ -2,10 +2,10 @@ from typing import Any, Dict, Optional, Union
|
||||
|
||||
from pydantic import BaseModel, ConfigDict
|
||||
|
||||
from .base_events import CrewEvent
|
||||
from .base_events import BaseEvent
|
||||
|
||||
|
||||
class FlowEvent(CrewEvent):
|
||||
class FlowEvent(BaseEvent):
|
||||
"""Base class for all flow events"""
|
||||
|
||||
type: str
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from enum import Enum
|
||||
from typing import Any, Dict, List, Optional, Union
|
||||
|
||||
from crewai.utilities.events.base_events import CrewEvent
|
||||
from crewai.utilities.events.base_events import BaseEvent
|
||||
|
||||
|
||||
class LLMCallType(Enum):
|
||||
@@ -11,17 +11,22 @@ class LLMCallType(Enum):
|
||||
LLM_CALL = "llm_call"
|
||||
|
||||
|
||||
class LLMCallStartedEvent(CrewEvent):
|
||||
"""Event emitted when a LLM call starts"""
|
||||
class LLMCallStartedEvent(BaseEvent):
|
||||
"""Event emitted when a LLM call starts
|
||||
|
||||
Attributes:
|
||||
messages: Content can be either a string or a list of dictionaries that support
|
||||
multimodal content (text, images, etc.)
|
||||
"""
|
||||
|
||||
type: str = "llm_call_started"
|
||||
messages: Union[str, List[Dict[str, str]]]
|
||||
messages: Union[str, List[Dict[str, Any]]]
|
||||
tools: Optional[List[dict]] = None
|
||||
callbacks: Optional[List[Any]] = None
|
||||
available_functions: Optional[Dict[str, Any]] = None
|
||||
|
||||
|
||||
class LLMCallCompletedEvent(CrewEvent):
|
||||
class LLMCallCompletedEvent(BaseEvent):
|
||||
"""Event emitted when a LLM call completes"""
|
||||
|
||||
type: str = "llm_call_completed"
|
||||
@@ -29,14 +34,14 @@ class LLMCallCompletedEvent(CrewEvent):
|
||||
call_type: LLMCallType
|
||||
|
||||
|
||||
class LLMCallFailedEvent(CrewEvent):
|
||||
class LLMCallFailedEvent(BaseEvent):
|
||||
"""Event emitted when a LLM call fails"""
|
||||
|
||||
error: str
|
||||
type: str = "llm_call_failed"
|
||||
|
||||
|
||||
class LLMStreamChunkEvent(CrewEvent):
|
||||
class LLMStreamChunkEvent(BaseEvent):
|
||||
"""Event emitted when a streaming chunk is received"""
|
||||
|
||||
type: str = "llm_stream_chunk"
|
||||
|
||||
@@ -1,32 +1,84 @@
|
||||
from typing import Optional
|
||||
from typing import Any, Optional
|
||||
|
||||
from crewai.tasks.task_output import TaskOutput
|
||||
from crewai.utilities.events.base_events import CrewEvent
|
||||
from crewai.utilities.events.base_events import BaseEvent
|
||||
|
||||
|
||||
class TaskStartedEvent(CrewEvent):
|
||||
class TaskStartedEvent(BaseEvent):
|
||||
"""Event emitted when a task starts"""
|
||||
|
||||
type: str = "task_started"
|
||||
context: Optional[str]
|
||||
task: Optional[Any] = None
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
# Set fingerprint data from the task
|
||||
if hasattr(self.task, "fingerprint") and self.task.fingerprint:
|
||||
self.source_fingerprint = self.task.fingerprint.uuid_str
|
||||
self.source_type = "task"
|
||||
if (
|
||||
hasattr(self.task.fingerprint, "metadata")
|
||||
and self.task.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.task.fingerprint.metadata
|
||||
|
||||
|
||||
class TaskCompletedEvent(CrewEvent):
|
||||
class TaskCompletedEvent(BaseEvent):
|
||||
"""Event emitted when a task completes"""
|
||||
|
||||
output: TaskOutput
|
||||
type: str = "task_completed"
|
||||
task: Optional[Any] = None
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
# Set fingerprint data from the task
|
||||
if hasattr(self.task, "fingerprint") and self.task.fingerprint:
|
||||
self.source_fingerprint = self.task.fingerprint.uuid_str
|
||||
self.source_type = "task"
|
||||
if (
|
||||
hasattr(self.task.fingerprint, "metadata")
|
||||
and self.task.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.task.fingerprint.metadata
|
||||
|
||||
|
||||
class TaskFailedEvent(CrewEvent):
|
||||
class TaskFailedEvent(BaseEvent):
|
||||
"""Event emitted when a task fails"""
|
||||
|
||||
error: str
|
||||
type: str = "task_failed"
|
||||
task: Optional[Any] = None
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
# Set fingerprint data from the task
|
||||
if hasattr(self.task, "fingerprint") and self.task.fingerprint:
|
||||
self.source_fingerprint = self.task.fingerprint.uuid_str
|
||||
self.source_type = "task"
|
||||
if (
|
||||
hasattr(self.task.fingerprint, "metadata")
|
||||
and self.task.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.task.fingerprint.metadata
|
||||
|
||||
|
||||
class TaskEvaluationEvent(CrewEvent):
|
||||
class TaskEvaluationEvent(BaseEvent):
|
||||
"""Event emitted when a task evaluation is completed"""
|
||||
|
||||
type: str = "task_evaluation"
|
||||
evaluation_type: str
|
||||
task: Optional[Any] = None
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
# Set fingerprint data from the task
|
||||
if hasattr(self.task, "fingerprint") and self.task.fingerprint:
|
||||
self.source_fingerprint = self.task.fingerprint.uuid_str
|
||||
self.source_type = "task"
|
||||
if (
|
||||
hasattr(self.task.fingerprint, "metadata")
|
||||
and self.task.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.task.fingerprint.metadata
|
||||
|
||||
@@ -1,10 +1,10 @@
|
||||
from datetime import datetime
|
||||
from typing import Any, Callable, Dict
|
||||
from typing import Any, Callable, Dict, Optional
|
||||
|
||||
from .base_events import CrewEvent
|
||||
from .base_events import BaseEvent
|
||||
|
||||
|
||||
class ToolUsageEvent(CrewEvent):
|
||||
class ToolUsageEvent(BaseEvent):
|
||||
"""Base event for tool usage tracking"""
|
||||
|
||||
agent_key: str
|
||||
@@ -14,9 +14,22 @@ class ToolUsageEvent(CrewEvent):
|
||||
tool_class: str
|
||||
run_attempts: int | None = None
|
||||
delegations: int | None = None
|
||||
agent: Optional[Any] = None
|
||||
|
||||
model_config = {"arbitrary_types_allowed": True}
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
# Set fingerprint data from the agent
|
||||
if self.agent and hasattr(self.agent, "fingerprint") and self.agent.fingerprint:
|
||||
self.source_fingerprint = self.agent.fingerprint.uuid_str
|
||||
self.source_type = "agent"
|
||||
if (
|
||||
hasattr(self.agent.fingerprint, "metadata")
|
||||
and self.agent.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.agent.fingerprint.metadata
|
||||
|
||||
|
||||
class ToolUsageStartedEvent(ToolUsageEvent):
|
||||
"""Event emitted when a tool execution is started"""
|
||||
@@ -30,6 +43,7 @@ class ToolUsageFinishedEvent(ToolUsageEvent):
|
||||
started_at: datetime
|
||||
finished_at: datetime
|
||||
from_cache: bool = False
|
||||
output: Any
|
||||
type: str = "tool_usage_finished"
|
||||
|
||||
|
||||
@@ -54,7 +68,7 @@ class ToolSelectionErrorEvent(ToolUsageEvent):
|
||||
type: str = "tool_selection_error"
|
||||
|
||||
|
||||
class ToolExecutionErrorEvent(CrewEvent):
|
||||
class ToolExecutionErrorEvent(BaseEvent):
|
||||
"""Event emitted when a tool execution encounters an error"""
|
||||
|
||||
error: Any
|
||||
@@ -62,3 +76,16 @@ class ToolExecutionErrorEvent(CrewEvent):
|
||||
tool_name: str
|
||||
tool_args: Dict[str, Any]
|
||||
tool_class: Callable
|
||||
agent: Optional[Any] = None
|
||||
|
||||
def __init__(self, **data):
|
||||
super().__init__(**data)
|
||||
# Set fingerprint data from the agent
|
||||
if self.agent and hasattr(self.agent, "fingerprint") and self.agent.fingerprint:
|
||||
self.source_fingerprint = self.agent.fingerprint.uuid_str
|
||||
self.source_type = "agent"
|
||||
if (
|
||||
hasattr(self.agent.fingerprint, "metadata")
|
||||
and self.agent.fingerprint.metadata
|
||||
):
|
||||
self.fingerprint_metadata = self.agent.fingerprint.metadata
|
||||
|
||||
@@ -507,9 +507,10 @@ class ConsoleFormatter:
|
||||
|
||||
# Remove the thinking status node when complete
|
||||
if "Thinking" in str(tool_branch.label):
|
||||
agent_branch.children.remove(tool_branch)
|
||||
self.print(crew_tree)
|
||||
self.print()
|
||||
if tool_branch in agent_branch.children:
|
||||
agent_branch.children.remove(tool_branch)
|
||||
self.print(crew_tree)
|
||||
self.print()
|
||||
|
||||
def handle_llm_call_failed(
|
||||
self, tool_branch: Optional[Tree], error: str, crew_tree: Optional[Tree]
|
||||
@@ -587,6 +588,7 @@ class ConsoleFormatter:
|
||||
for child in flow_tree.children:
|
||||
if "Running tests" in str(child.label):
|
||||
child.label = Text("✅ Tests completed successfully", style="green")
|
||||
break
|
||||
|
||||
self.print(flow_tree)
|
||||
self.print()
|
||||
|
||||
16
src/crewai/utilities/exceptions/llm_error.py
Normal file
16
src/crewai/utilities/exceptions/llm_error.py
Normal file
@@ -0,0 +1,16 @@
|
||||
"""Exception class for LLM-related errors."""
|
||||
from typing import Optional
|
||||
|
||||
|
||||
class LLMError(Exception):
|
||||
"""Base exception class for LLM operation errors."""
|
||||
|
||||
def __init__(self, message: str, original_error: Optional[Exception] = None):
|
||||
"""Initialize the LLM error.
|
||||
|
||||
Args:
|
||||
message: The error message to display
|
||||
original_error: The original exception that caused this error, if any
|
||||
"""
|
||||
super().__init__(message)
|
||||
self.original_error = original_error
|
||||
@@ -1,38 +1,21 @@
|
||||
import json
|
||||
import uuid
|
||||
from datetime import date, datetime
|
||||
from typing import Any, Dict, List, Union
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
from crewai.flow import Flow
|
||||
|
||||
SerializablePrimitive = Union[str, int, float, bool, None]
|
||||
Serializable = Union[
|
||||
SerializablePrimitive, List["Serializable"], Dict[str, "Serializable"]
|
||||
]
|
||||
|
||||
|
||||
def export_state(flow: Flow) -> dict[str, Serializable]:
|
||||
"""Exports the Flow's internal state as JSON-compatible data structures.
|
||||
|
||||
Performs a one-way transformation of a Flow's state into basic Python types
|
||||
that can be safely serialized to JSON. To prevent infinite recursion with
|
||||
circular references, the conversion is limited to a depth of 5 levels.
|
||||
|
||||
Args:
|
||||
flow: The Flow object whose state needs to be exported
|
||||
|
||||
Returns:
|
||||
dict[str, Any]: The transformed state using JSON-compatible Python
|
||||
types.
|
||||
"""
|
||||
result = to_serializable(flow._state)
|
||||
assert isinstance(result, dict)
|
||||
return result
|
||||
|
||||
|
||||
def to_serializable(
|
||||
obj: Any, max_depth: int = 5, _current_depth: int = 0
|
||||
obj: Any,
|
||||
exclude: set[str] | None = None,
|
||||
max_depth: int = 5,
|
||||
_current_depth: int = 0,
|
||||
) -> Serializable:
|
||||
"""Converts a Python object into a JSON-compatible representation.
|
||||
|
||||
@@ -42,6 +25,7 @@ def to_serializable(
|
||||
|
||||
Args:
|
||||
obj (Any): Object to transform.
|
||||
exclude (set[str], optional): Set of keys to exclude from the result.
|
||||
max_depth (int, optional): Maximum recursion depth. Defaults to 5.
|
||||
|
||||
Returns:
|
||||
@@ -50,21 +34,39 @@ def to_serializable(
|
||||
if _current_depth >= max_depth:
|
||||
return repr(obj)
|
||||
|
||||
if exclude is None:
|
||||
exclude = set()
|
||||
|
||||
if isinstance(obj, (str, int, float, bool, type(None))):
|
||||
return obj
|
||||
elif isinstance(obj, uuid.UUID):
|
||||
return str(obj)
|
||||
elif isinstance(obj, (date, datetime)):
|
||||
return obj.isoformat()
|
||||
elif isinstance(obj, (list, tuple, set)):
|
||||
return [to_serializable(item, max_depth, _current_depth + 1) for item in obj]
|
||||
return [
|
||||
to_serializable(
|
||||
item, max_depth=max_depth, _current_depth=_current_depth + 1
|
||||
)
|
||||
for item in obj
|
||||
]
|
||||
elif isinstance(obj, dict):
|
||||
return {
|
||||
_to_serializable_key(key): to_serializable(
|
||||
value, max_depth, _current_depth + 1
|
||||
obj=value,
|
||||
exclude=exclude,
|
||||
max_depth=max_depth,
|
||||
_current_depth=_current_depth + 1,
|
||||
)
|
||||
for key, value in obj.items()
|
||||
if key not in exclude
|
||||
}
|
||||
elif isinstance(obj, BaseModel):
|
||||
return to_serializable(obj.model_dump(), max_depth, _current_depth + 1)
|
||||
return to_serializable(
|
||||
obj=obj.model_dump(exclude=exclude),
|
||||
max_depth=max_depth,
|
||||
_current_depth=_current_depth + 1,
|
||||
)
|
||||
else:
|
||||
return repr(obj)
|
||||
|
||||
@@ -1621,6 +1621,38 @@ def test_agent_with_knowledge_sources():
|
||||
assert "red" in result.raw.lower()
|
||||
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_agent_with_knowledge_sources_extensive_role():
|
||||
content = "Brandon's favorite color is red and he likes Mexican food."
|
||||
string_source = StringKnowledgeSource(content=content)
|
||||
|
||||
with patch(
|
||||
"crewai.knowledge.storage.knowledge_storage.KnowledgeStorage"
|
||||
) as MockKnowledge:
|
||||
mock_knowledge_instance = MockKnowledge.return_value
|
||||
mock_knowledge_instance.sources = [string_source]
|
||||
mock_knowledge_instance.query.return_value = [{"content": content}]
|
||||
|
||||
agent = Agent(
|
||||
role="Information Agent with extensive role description that is longer than 80 characters",
|
||||
goal="Provide information based on knowledge sources",
|
||||
backstory="You have access to specific knowledge sources.",
|
||||
llm=LLM(model="gpt-4o-mini"),
|
||||
knowledge_sources=[string_source],
|
||||
)
|
||||
|
||||
task = Task(
|
||||
description="What is Brandon's favorite color?",
|
||||
expected_output="Brandon's favorite color.",
|
||||
agent=agent,
|
||||
)
|
||||
|
||||
crew = Crew(agents=[agent], tasks=[task])
|
||||
result = crew.kickoff()
|
||||
|
||||
assert "red" in result.raw.lower()
|
||||
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_agent_with_knowledge_sources_works_with_copy():
|
||||
content = "Brandon's favorite color is red and he likes Mexican food."
|
||||
|
||||
File diff suppressed because one or more lines are too long
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body: '{"messages": [{"role": "system", "content": "You are Test Agent. Test agent
|
||||
backstory\nYour personal goal is: Test agent goal\nTo give my best complete
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
answer: Test expected output\nyou MUST return the actual complete content as
|
||||
the final answer, not a summary.\n\nBegin! This is VERY important to you, use
|
||||
the tools available and give your best Final Answer, your job depends on it!\n\nThought:"}],
|
||||
"model": "gpt-4o", "stop": ["\nObservation:"]}'
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@@ -11,7 +11,9 @@ import pydantic_core
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import pytest
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from crewai.agent import Agent
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from crewai.agents import CacheHandler
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from crewai.agents.cache import CacheHandler
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from crewai.agents.crew_agent_executor import CrewAgentExecutor
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from crewai.crew import Crew
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from crewai.crews.crew_output import CrewOutput
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from crewai.knowledge.source.string_knowledge_source import StringKnowledgeSource
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@@ -1499,6 +1501,80 @@ async def test_async_kickoff_for_each_async_empty_input():
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# Assertion
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assert results == [], "Result should be an empty list when input is empty"
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@pytest.mark.asyncio
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async def test_kickoff_async_error_handling():
|
||||
"""Tests error handling in kickoff_async when kickoff raises an error."""
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from unittest.mock import patch
|
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|
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from crewai.utilities.exceptions.llm_error import LLMError
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|
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inputs = {"topic": "dog"}
|
||||
|
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agent = Agent(
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||||
role="{topic} Researcher",
|
||||
goal="Express hot takes on {topic}.",
|
||||
backstory="You have a lot of experience with {topic}.",
|
||||
)
|
||||
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||||
task = Task(
|
||||
description="Give me an analysis around {topic}.",
|
||||
expected_output="1 bullet point about {topic} that's under 15 words.",
|
||||
agent=agent,
|
||||
)
|
||||
|
||||
# Create the crew
|
||||
crew = Crew(
|
||||
agents=[agent],
|
||||
tasks=[task],
|
||||
)
|
||||
|
||||
with patch.object(Crew, "kickoff", side_effect=Exception("Simulated LLM error")) as mock_kickoff:
|
||||
with pytest.raises(LLMError) as excinfo:
|
||||
await crew.kickoff_async(inputs)
|
||||
|
||||
assert "Crew execution failed: Simulated LLM error" in str(excinfo.value)
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||||
assert excinfo.value.original_error is not None
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||||
assert "Simulated LLM error" in str(excinfo.value.original_error)
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||||
mock_kickoff.assert_called_once_with(inputs)
|
||||
@pytest.mark.asyncio
|
||||
async def test_kickoff_async_context_length_error_handling():
|
||||
"""Tests error handling in kickoff_async when kickoff raises a context length error."""
|
||||
from unittest.mock import patch
|
||||
|
||||
from crewai.utilities.exceptions.context_window_exceeding_exception import (
|
||||
LLMContextLengthExceededException,
|
||||
)
|
||||
from crewai.utilities.exceptions.llm_error import LLMError
|
||||
|
||||
inputs = {"topic": "dog"}
|
||||
|
||||
agent = Agent(
|
||||
role="{topic} Researcher",
|
||||
goal="Express hot takes on {topic}.",
|
||||
backstory="You have a lot of experience with {topic}.",
|
||||
)
|
||||
|
||||
task = Task(
|
||||
description="Give me an analysis around {topic}.",
|
||||
expected_output="1 bullet point about {topic} that's under 15 words.",
|
||||
agent=agent,
|
||||
)
|
||||
|
||||
# Create the crew
|
||||
crew = Crew(
|
||||
agents=[agent],
|
||||
tasks=[task],
|
||||
)
|
||||
|
||||
with patch.object(Crew, "kickoff", side_effect=LLMContextLengthExceededException("maximum context length exceeded")) as mock_kickoff:
|
||||
with pytest.raises(LLMError) as excinfo:
|
||||
await crew.kickoff_async(inputs)
|
||||
|
||||
assert "Crew execution failed" in str(excinfo.value)
|
||||
assert "maximum context length exceeded" in str(excinfo.value.original_error)
|
||||
mock_kickoff.assert_called_once_with(inputs)
|
||||
|
||||
|
||||
|
||||
|
||||
def test_set_agents_step_callback():
|
||||
@@ -3731,6 +3807,44 @@ def test_multimodal_agent_image_tool_handling():
|
||||
assert result["content"][1]["type"] == "image_url"
|
||||
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_multimodal_agent_describing_image_successfully():
|
||||
"""
|
||||
Test that a multimodal agent can process images without validation errors.
|
||||
This test reproduces the scenario from issue #2475.
|
||||
"""
|
||||
llm = LLM(model="openai/gpt-4o", temperature=0.7) # model with vision capabilities
|
||||
|
||||
expert_analyst = Agent(
|
||||
role="Visual Quality Inspector",
|
||||
goal="Perform detailed quality analysis of product images",
|
||||
backstory="Senior quality control expert with expertise in visual inspection",
|
||||
llm=llm,
|
||||
verbose=True,
|
||||
allow_delegation=False,
|
||||
multimodal=True,
|
||||
)
|
||||
|
||||
inspection_task = Task(
|
||||
description="""
|
||||
Analyze the product image at https://www.us.maguireshoes.com/cdn/shop/files/FW24-Edito-Lucena-Distressed-01_1920x.jpg?v=1736371244 with focus on:
|
||||
1. Quality of materials
|
||||
2. Manufacturing defects
|
||||
3. Compliance with standards
|
||||
Provide a detailed report highlighting any issues found.
|
||||
""",
|
||||
expected_output="A detailed report highlighting any issues found",
|
||||
agent=expert_analyst,
|
||||
)
|
||||
|
||||
crew = Crew(agents=[expert_analyst], tasks=[inspection_task])
|
||||
result = crew.kickoff()
|
||||
|
||||
task_output = result.tasks_output[0]
|
||||
assert isinstance(task_output, TaskOutput)
|
||||
assert task_output.raw == result.raw
|
||||
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_multimodal_agent_live_image_analysis():
|
||||
"""
|
||||
@@ -4025,3 +4139,52 @@ def test_crew_with_knowledge_sources_works_with_copy():
|
||||
assert len(crew_copy.tasks) == len(crew.tasks)
|
||||
|
||||
assert len(crew_copy.tasks) == len(crew.tasks)
|
||||
|
||||
|
||||
def test_crew_kickoff_for_each_works_with_manager_agent_copy():
|
||||
researcher = Agent(
|
||||
role="Researcher",
|
||||
goal="Conduct thorough research and analysis on AI and AI agents",
|
||||
backstory="You're an expert researcher, specialized in technology, software engineering, AI, and startups. You work as a freelancer and are currently researching for a new client.",
|
||||
allow_delegation=False
|
||||
)
|
||||
|
||||
writer = Agent(
|
||||
role="Senior Writer",
|
||||
goal="Create compelling content about AI and AI agents",
|
||||
backstory="You're a senior writer, specialized in technology, software engineering, AI, and startups. You work as a freelancer and are currently writing content for a new client.",
|
||||
allow_delegation=False
|
||||
)
|
||||
|
||||
# Define task
|
||||
task = Task(
|
||||
description="Generate a list of 5 interesting ideas for an article, then write one captivating paragraph for each idea that showcases the potential of a full article on this topic. Return the list of ideas with their paragraphs and your notes.",
|
||||
expected_output="5 bullet points, each with a paragraph and accompanying notes.",
|
||||
)
|
||||
|
||||
# Define manager agent
|
||||
manager = Agent(
|
||||
role="Project Manager",
|
||||
goal="Efficiently manage the crew and ensure high-quality task completion",
|
||||
backstory="You're an experienced project manager, skilled in overseeing complex projects and guiding teams to success. Your role is to coordinate the efforts of the crew members, ensuring that each task is completed on time and to the highest standard.",
|
||||
allow_delegation=True
|
||||
)
|
||||
|
||||
# Instantiate crew with a custom manager
|
||||
crew = Crew(
|
||||
agents=[researcher, writer],
|
||||
tasks=[task],
|
||||
manager_agent=manager,
|
||||
process=Process.hierarchical,
|
||||
verbose=True
|
||||
)
|
||||
|
||||
crew_copy = crew.copy()
|
||||
assert crew_copy.manager_agent is not None
|
||||
assert crew_copy.manager_agent.id != crew.manager_agent.id
|
||||
assert crew_copy.manager_agent.role == crew.manager_agent.role
|
||||
assert crew_copy.manager_agent.goal == crew.manager_agent.goal
|
||||
assert crew_copy.manager_agent.backstory == crew.manager_agent.backstory
|
||||
assert isinstance(crew_copy.manager_agent.agent_executor, CrewAgentExecutor)
|
||||
assert isinstance(crew_copy.manager_agent.cache_handler, CacheHandler)
|
||||
|
||||
|
||||
@@ -787,6 +787,25 @@ def test_conditional_task_definition_based_on_dict():
|
||||
assert task.agent is None
|
||||
|
||||
|
||||
def test_conditional_task_copy_preserves_type():
|
||||
task_config = {
|
||||
"description": "Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work', check examples to based your evaluation.",
|
||||
"expected_output": "The score of the title.",
|
||||
}
|
||||
original_task = Task(**task_config)
|
||||
copied_task = original_task.copy(agents=[], task_mapping={})
|
||||
assert isinstance(copied_task, Task)
|
||||
|
||||
original_conditional_config = {
|
||||
"description": "Give me an integer score between 1-5 for the following title: 'The impact of AI in the future of work'. Check examples to base your evaluation on.",
|
||||
"expected_output": "The score of the title.",
|
||||
"condition": lambda x: True,
|
||||
}
|
||||
original_conditional_task = ConditionalTask(**original_conditional_config)
|
||||
copied_conditional_task = original_conditional_task.copy(agents=[], task_mapping={})
|
||||
assert isinstance(copied_conditional_task, ConditionalTask)
|
||||
|
||||
|
||||
def test_interpolate_inputs():
|
||||
task = Task(
|
||||
description="Give me a list of 5 interesting ideas about {topic} to explore for an article, what makes them unique and interesting.",
|
||||
|
||||
46
tests/test_multimodal_validation.py
Normal file
46
tests/test_multimodal_validation.py
Normal file
@@ -0,0 +1,46 @@
|
||||
import os
|
||||
|
||||
import pytest
|
||||
|
||||
from crewai import LLM, Agent, Crew, Task
|
||||
|
||||
|
||||
@pytest.mark.skip(reason="Only run manually with valid API keys")
|
||||
def test_multimodal_agent_with_image_url():
|
||||
"""
|
||||
Test that a multimodal agent can process images without validation errors.
|
||||
This test reproduces the scenario from issue #2475.
|
||||
"""
|
||||
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
|
||||
if not OPENAI_API_KEY:
|
||||
pytest.skip("OPENAI_API_KEY environment variable not set")
|
||||
|
||||
llm = LLM(
|
||||
model="openai/gpt-4o", # model with vision capabilities
|
||||
api_key=OPENAI_API_KEY,
|
||||
temperature=0.7
|
||||
)
|
||||
|
||||
expert_analyst = Agent(
|
||||
role="Visual Quality Inspector",
|
||||
goal="Perform detailed quality analysis of product images",
|
||||
backstory="Senior quality control expert with expertise in visual inspection",
|
||||
llm=llm,
|
||||
verbose=True,
|
||||
allow_delegation=False,
|
||||
multimodal=True
|
||||
)
|
||||
|
||||
inspection_task = Task(
|
||||
description="""
|
||||
Analyze the product image at https://www.us.maguireshoes.com/collections/spring-25/products/lucena-black-boot with focus on:
|
||||
1. Quality of materials
|
||||
2. Manufacturing defects
|
||||
3. Compliance with standards
|
||||
Provide a detailed report highlighting any issues found.
|
||||
""",
|
||||
expected_output="A detailed report highlighting any issues found",
|
||||
agent=expert_analyst
|
||||
)
|
||||
|
||||
crew = Crew(agents=[expert_analyst], tasks=[inspection_task])
|
||||
@@ -1,5 +1,7 @@
|
||||
import datetime
|
||||
import json
|
||||
import random
|
||||
import time
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
@@ -11,6 +13,7 @@ from crewai.tools.tool_usage import ToolUsage
|
||||
from crewai.utilities.events import crewai_event_bus
|
||||
from crewai.utilities.events.tool_usage_events import (
|
||||
ToolSelectionErrorEvent,
|
||||
ToolUsageFinishedEvent,
|
||||
ToolValidateInputErrorEvent,
|
||||
)
|
||||
|
||||
@@ -624,3 +627,161 @@ def test_tool_validate_input_error_event():
|
||||
assert event.agent_role == "test_role"
|
||||
assert event.tool_name == "test_tool"
|
||||
assert "must be a valid dictionary" in event.error
|
||||
|
||||
|
||||
def test_tool_usage_finished_event_with_result():
|
||||
"""Test that ToolUsageFinishedEvent is emitted with correct result attributes."""
|
||||
# Create mock agent with proper string values
|
||||
mock_agent = MagicMock()
|
||||
mock_agent.key = "test_agent_key"
|
||||
mock_agent.role = "test_agent_role"
|
||||
mock_agent._original_role = "test_agent_role"
|
||||
mock_agent.i18n = MagicMock()
|
||||
mock_agent.verbose = False
|
||||
|
||||
# Create mock task
|
||||
mock_task = MagicMock()
|
||||
mock_task.delegations = 0
|
||||
|
||||
# Create mock tool
|
||||
class TestTool(BaseTool):
|
||||
name: str = "Test Tool"
|
||||
description: str = "A test tool"
|
||||
|
||||
def _run(self, input: dict) -> str:
|
||||
return "test result"
|
||||
|
||||
test_tool = TestTool()
|
||||
|
||||
# Create mock tool calling
|
||||
mock_tool_calling = MagicMock()
|
||||
mock_tool_calling.arguments = {"arg1": "value1"}
|
||||
|
||||
# Create ToolUsage instance
|
||||
tool_usage = ToolUsage(
|
||||
tools_handler=MagicMock(),
|
||||
tools=[test_tool],
|
||||
original_tools=[test_tool],
|
||||
tools_description="Test Tool Description",
|
||||
tools_names="Test Tool",
|
||||
task=mock_task,
|
||||
function_calling_llm=None,
|
||||
agent=mock_agent,
|
||||
action=MagicMock(),
|
||||
)
|
||||
|
||||
# Track received events
|
||||
received_events = []
|
||||
|
||||
@crewai_event_bus.on(ToolUsageFinishedEvent)
|
||||
def event_handler(source, event):
|
||||
received_events.append(event)
|
||||
|
||||
# Call on_tool_use_finished with test data
|
||||
started_at = time.time()
|
||||
result = "test output result"
|
||||
tool_usage.on_tool_use_finished(
|
||||
tool=test_tool,
|
||||
tool_calling=mock_tool_calling,
|
||||
from_cache=False,
|
||||
started_at=started_at,
|
||||
result=result,
|
||||
)
|
||||
|
||||
# Verify event was emitted
|
||||
assert len(received_events) == 1, "Expected one event to be emitted"
|
||||
event = received_events[0]
|
||||
assert isinstance(event, ToolUsageFinishedEvent)
|
||||
|
||||
# Verify event attributes
|
||||
assert event.agent_key == "test_agent_key"
|
||||
assert event.agent_role == "test_agent_role"
|
||||
assert event.tool_name == "Test Tool"
|
||||
assert event.tool_args == {"arg1": "value1"}
|
||||
assert event.tool_class == "TestTool"
|
||||
assert event.run_attempts == 1 # Default value from ToolUsage
|
||||
assert event.delegations == 0
|
||||
assert event.from_cache is False
|
||||
assert event.output == "test output result"
|
||||
assert isinstance(event.started_at, datetime.datetime)
|
||||
assert isinstance(event.finished_at, datetime.datetime)
|
||||
assert event.type == "tool_usage_finished"
|
||||
|
||||
|
||||
def test_tool_usage_finished_event_with_cached_result():
|
||||
"""Test that ToolUsageFinishedEvent is emitted with correct result attributes when using cached result."""
|
||||
# Create mock agent with proper string values
|
||||
mock_agent = MagicMock()
|
||||
mock_agent.key = "test_agent_key"
|
||||
mock_agent.role = "test_agent_role"
|
||||
mock_agent._original_role = "test_agent_role"
|
||||
mock_agent.i18n = MagicMock()
|
||||
mock_agent.verbose = False
|
||||
|
||||
# Create mock task
|
||||
mock_task = MagicMock()
|
||||
mock_task.delegations = 0
|
||||
|
||||
# Create mock tool
|
||||
class TestTool(BaseTool):
|
||||
name: str = "Test Tool"
|
||||
description: str = "A test tool"
|
||||
|
||||
def _run(self, input: dict) -> str:
|
||||
return "test result"
|
||||
|
||||
test_tool = TestTool()
|
||||
|
||||
# Create mock tool calling
|
||||
mock_tool_calling = MagicMock()
|
||||
mock_tool_calling.arguments = {"arg1": "value1"}
|
||||
|
||||
# Create ToolUsage instance
|
||||
tool_usage = ToolUsage(
|
||||
tools_handler=MagicMock(),
|
||||
tools=[test_tool],
|
||||
original_tools=[test_tool],
|
||||
tools_description="Test Tool Description",
|
||||
tools_names="Test Tool",
|
||||
task=mock_task,
|
||||
function_calling_llm=None,
|
||||
agent=mock_agent,
|
||||
action=MagicMock(),
|
||||
)
|
||||
|
||||
# Track received events
|
||||
received_events = []
|
||||
|
||||
@crewai_event_bus.on(ToolUsageFinishedEvent)
|
||||
def event_handler(source, event):
|
||||
received_events.append(event)
|
||||
|
||||
# Call on_tool_use_finished with test data and from_cache=True
|
||||
started_at = time.time()
|
||||
result = "cached test output result"
|
||||
tool_usage.on_tool_use_finished(
|
||||
tool=test_tool,
|
||||
tool_calling=mock_tool_calling,
|
||||
from_cache=True,
|
||||
started_at=started_at,
|
||||
result=result,
|
||||
)
|
||||
|
||||
# Verify event was emitted
|
||||
assert len(received_events) == 1, "Expected one event to be emitted"
|
||||
event = received_events[0]
|
||||
assert isinstance(event, ToolUsageFinishedEvent)
|
||||
|
||||
# Verify event attributes
|
||||
assert event.agent_key == "test_agent_key"
|
||||
assert event.agent_role == "test_agent_role"
|
||||
assert event.tool_name == "Test Tool"
|
||||
assert event.tool_args == {"arg1": "value1"}
|
||||
assert event.tool_class == "TestTool"
|
||||
assert event.run_attempts == 1 # Default value from ToolUsage
|
||||
assert event.delegations == 0
|
||||
assert event.from_cache is True
|
||||
assert event.output == "cached test output result"
|
||||
assert isinstance(event.started_at, datetime.datetime)
|
||||
assert isinstance(event.finished_at, datetime.datetime)
|
||||
assert event.type == "tool_usage_finished"
|
||||
|
||||
@@ -1,10 +1,10 @@
|
||||
from unittest.mock import Mock
|
||||
|
||||
from crewai.utilities.events.base_events import CrewEvent
|
||||
from crewai.utilities.events.base_events import BaseEvent
|
||||
from crewai.utilities.events.crewai_event_bus import crewai_event_bus
|
||||
|
||||
|
||||
class TestEvent(CrewEvent):
|
||||
class TestEvent(BaseEvent):
|
||||
pass
|
||||
|
||||
|
||||
@@ -24,7 +24,7 @@ def test_specific_event_handler():
|
||||
def test_wildcard_event_handler():
|
||||
mock_handler = Mock()
|
||||
|
||||
@crewai_event_bus.on(CrewEvent)
|
||||
@crewai_event_bus.on(BaseEvent)
|
||||
def handler(source, event):
|
||||
mock_handler(source, event)
|
||||
|
||||
|
||||
81
tests/utilities/test_chromadb_utils.py
Normal file
81
tests/utilities/test_chromadb_utils.py
Normal file
@@ -0,0 +1,81 @@
|
||||
import unittest
|
||||
from typing import Any, Dict, List, Union
|
||||
|
||||
import pytest
|
||||
|
||||
from crewai.utilities.chromadb import (
|
||||
MAX_COLLECTION_LENGTH,
|
||||
MIN_COLLECTION_LENGTH,
|
||||
is_ipv4_pattern,
|
||||
sanitize_collection_name,
|
||||
)
|
||||
|
||||
|
||||
class TestChromadbUtils(unittest.TestCase):
|
||||
def test_sanitize_collection_name_long_name(self):
|
||||
"""Test sanitizing a very long collection name."""
|
||||
long_name = "This is an extremely long role name that will definitely exceed the ChromaDB collection name limit of 63 characters and cause an error when used as a collection name"
|
||||
sanitized = sanitize_collection_name(long_name)
|
||||
self.assertLessEqual(len(sanitized), MAX_COLLECTION_LENGTH)
|
||||
self.assertTrue(sanitized[0].isalnum())
|
||||
self.assertTrue(sanitized[-1].isalnum())
|
||||
self.assertTrue(all(c.isalnum() or c in ["_", "-"] for c in sanitized))
|
||||
|
||||
def test_sanitize_collection_name_special_chars(self):
|
||||
"""Test sanitizing a name with special characters."""
|
||||
special_chars = "Agent@123!#$%^&*()"
|
||||
sanitized = sanitize_collection_name(special_chars)
|
||||
self.assertTrue(sanitized[0].isalnum())
|
||||
self.assertTrue(sanitized[-1].isalnum())
|
||||
self.assertTrue(all(c.isalnum() or c in ["_", "-"] for c in sanitized))
|
||||
|
||||
def test_sanitize_collection_name_short_name(self):
|
||||
"""Test sanitizing a very short name."""
|
||||
short_name = "A"
|
||||
sanitized = sanitize_collection_name(short_name)
|
||||
self.assertGreaterEqual(len(sanitized), MIN_COLLECTION_LENGTH)
|
||||
self.assertTrue(sanitized[0].isalnum())
|
||||
self.assertTrue(sanitized[-1].isalnum())
|
||||
|
||||
def test_sanitize_collection_name_bad_ends(self):
|
||||
"""Test sanitizing a name with non-alphanumeric start/end."""
|
||||
bad_ends = "_Agent_"
|
||||
sanitized = sanitize_collection_name(bad_ends)
|
||||
self.assertTrue(sanitized[0].isalnum())
|
||||
self.assertTrue(sanitized[-1].isalnum())
|
||||
|
||||
def test_sanitize_collection_name_none(self):
|
||||
"""Test sanitizing a None value."""
|
||||
sanitized = sanitize_collection_name(None)
|
||||
self.assertEqual(sanitized, "default_collection")
|
||||
|
||||
def test_sanitize_collection_name_ipv4_pattern(self):
|
||||
"""Test sanitizing an IPv4 address."""
|
||||
ipv4 = "192.168.1.1"
|
||||
sanitized = sanitize_collection_name(ipv4)
|
||||
self.assertTrue(sanitized.startswith("ip_"))
|
||||
self.assertTrue(sanitized[0].isalnum())
|
||||
self.assertTrue(sanitized[-1].isalnum())
|
||||
self.assertTrue(all(c.isalnum() or c in ["_", "-"] for c in sanitized))
|
||||
|
||||
def test_is_ipv4_pattern(self):
|
||||
"""Test IPv4 pattern detection."""
|
||||
self.assertTrue(is_ipv4_pattern("192.168.1.1"))
|
||||
self.assertFalse(is_ipv4_pattern("not.an.ip.address"))
|
||||
|
||||
def test_sanitize_collection_name_properties(self):
|
||||
"""Test that sanitized collection names always meet ChromaDB requirements."""
|
||||
test_cases = [
|
||||
"A" * 100, # Very long name
|
||||
"_start_with_underscore",
|
||||
"end_with_underscore_",
|
||||
"contains@special#characters",
|
||||
"192.168.1.1", # IPv4 address
|
||||
"a" * 2, # Too short
|
||||
]
|
||||
for test_case in test_cases:
|
||||
sanitized = sanitize_collection_name(test_case)
|
||||
self.assertGreaterEqual(len(sanitized), MIN_COLLECTION_LENGTH)
|
||||
self.assertLessEqual(len(sanitized), MAX_COLLECTION_LENGTH)
|
||||
self.assertTrue(sanitized[0].isalnum())
|
||||
self.assertTrue(sanitized[-1].isalnum())
|
||||
@@ -5,8 +5,7 @@ from unittest.mock import Mock
|
||||
import pytest
|
||||
from pydantic import BaseModel
|
||||
|
||||
from crewai.flow import Flow
|
||||
from crewai.flow.state_utils import export_state, to_string
|
||||
from crewai.utilities.serialization import to_serializable, to_string
|
||||
|
||||
|
||||
class Address(BaseModel):
|
||||
@@ -23,16 +22,6 @@ class Person(BaseModel):
|
||||
skills: List[str]
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_flow():
|
||||
def create_flow(state):
|
||||
flow = Mock(spec=Flow)
|
||||
flow._state = state
|
||||
return flow
|
||||
|
||||
return create_flow
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"test_input,expected",
|
||||
[
|
||||
@@ -47,9 +36,8 @@ def mock_flow():
|
||||
({"nested": [1, [2, 3], {4, 5}]}, {"nested": [1, [2, 3], [4, 5]]}),
|
||||
],
|
||||
)
|
||||
def test_basic_serialization(mock_flow, test_input, expected):
|
||||
flow = mock_flow(test_input)
|
||||
result = export_state(flow)
|
||||
def test_basic_serialization(test_input, expected):
|
||||
result = to_serializable(test_input)
|
||||
assert result == expected
|
||||
|
||||
|
||||
@@ -60,9 +48,8 @@ def test_basic_serialization(mock_flow, test_input, expected):
|
||||
(datetime(2024, 1, 1, 12, 30), "2024-01-01T12:30:00"),
|
||||
],
|
||||
)
|
||||
def test_temporal_serialization(mock_flow, input_date, expected):
|
||||
flow = mock_flow({"date": input_date})
|
||||
result = export_state(flow)
|
||||
def test_temporal_serialization(input_date, expected):
|
||||
result = to_serializable({"date": input_date})
|
||||
assert result["date"] == expected
|
||||
|
||||
|
||||
@@ -75,9 +62,8 @@ def test_temporal_serialization(mock_flow, input_date, expected):
|
||||
("normal", "value", str),
|
||||
],
|
||||
)
|
||||
def test_dictionary_key_serialization(mock_flow, key, value, expected_key_type):
|
||||
flow = mock_flow({key: value})
|
||||
result = export_state(flow)
|
||||
def test_dictionary_key_serialization(key, value, expected_key_type):
|
||||
result = to_serializable({key: value})
|
||||
assert len(result) == 1
|
||||
result_key = next(iter(result.keys()))
|
||||
assert isinstance(result_key, expected_key_type)
|
||||
@@ -91,14 +77,13 @@ def test_dictionary_key_serialization(mock_flow, key, value, expected_key_type):
|
||||
(str.upper, "upper"),
|
||||
],
|
||||
)
|
||||
def test_callable_serialization(mock_flow, callable_obj, expected_in_result):
|
||||
flow = mock_flow({"func": callable_obj})
|
||||
result = export_state(flow)
|
||||
def test_callable_serialization(callable_obj, expected_in_result):
|
||||
result = to_serializable({"func": callable_obj})
|
||||
assert isinstance(result["func"], str)
|
||||
assert expected_in_result in result["func"].lower()
|
||||
|
||||
|
||||
def test_pydantic_model_serialization(mock_flow):
|
||||
def test_pydantic_model_serialization():
|
||||
address = Address(street="123 Main St", city="Tech City", country="Pythonia")
|
||||
|
||||
person = Person(
|
||||
@@ -109,23 +94,21 @@ def test_pydantic_model_serialization(mock_flow):
|
||||
skills=["Python", "Testing"],
|
||||
)
|
||||
|
||||
flow = mock_flow(
|
||||
{
|
||||
"single_model": address,
|
||||
"nested_model": person,
|
||||
"model_list": [address, address],
|
||||
"model_dict": {"home": address},
|
||||
}
|
||||
)
|
||||
data = {
|
||||
"single_model": address,
|
||||
"nested_model": person,
|
||||
"model_list": [address, address],
|
||||
"model_dict": {"home": address},
|
||||
}
|
||||
|
||||
result = export_state(flow)
|
||||
result = to_serializable(data)
|
||||
assert (
|
||||
to_string(result)
|
||||
== '{"single_model": {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}, "nested_model": {"name": "John Doe", "age": 30, "address": {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}, "birthday": "1994-01-01", "skills": ["Python", "Testing"]}, "model_list": [{"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}, {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}], "model_dict": {"home": {"street": "123 Main St", "city": "Tech City", "country": "Pythonia"}}}'
|
||||
)
|
||||
|
||||
|
||||
def test_depth_limit(mock_flow):
|
||||
def test_depth_limit():
|
||||
"""Test max depth handling with a deeply nested structure"""
|
||||
|
||||
def create_nested(depth):
|
||||
@@ -134,8 +117,7 @@ def test_depth_limit(mock_flow):
|
||||
return {"next": create_nested(depth - 1)}
|
||||
|
||||
deep_structure = create_nested(10)
|
||||
flow = mock_flow(deep_structure)
|
||||
result = export_state(flow)
|
||||
result = to_serializable(deep_structure)
|
||||
|
||||
assert result == {
|
||||
"next": {
|
||||
@@ -148,3 +130,23 @@ def test_depth_limit(mock_flow):
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
def test_exclude_keys():
|
||||
result = to_serializable({"key1": "value1", "key2": "value2"}, exclude={"key1"})
|
||||
assert result == {"key2": "value2"}
|
||||
|
||||
model = Person(
|
||||
name="John Doe",
|
||||
age=30,
|
||||
address=Address(street="123 Main St", city="Tech City", country="Pythonia"),
|
||||
birthday=date(1994, 1, 1),
|
||||
skills=["Python", "Testing"],
|
||||
)
|
||||
result = to_serializable(model, exclude={"address"})
|
||||
assert result == {
|
||||
"name": "John Doe",
|
||||
"age": 30,
|
||||
"birthday": "1994-01-01",
|
||||
"skills": ["Python", "Testing"],
|
||||
}
|
||||
415
uv.lock
generated
415
uv.lock
generated
@@ -1,42 +1,18 @@
|
||||
version = 1
|
||||
requires-python = ">=3.10, <3.13"
|
||||
resolution-markers = [
|
||||
"python_full_version < '3.11' and platform_system == 'Darwin' and sys_platform == 'darwin'",
|
||||
"python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
|
||||
"(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
|
||||
"python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
|
||||
"python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
|
||||
"python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
|
||||
"(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version < '3.11' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
"python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
|
||||
"(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
"python_full_version == '3.11.*' and platform_system == 'Darwin' and sys_platform == 'darwin'",
|
||||
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
|
||||
"(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
|
||||
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
|
||||
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
|
||||
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
|
||||
"(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version == '3.11.*' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
|
||||
"(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system == 'Darwin' and sys_platform == 'darwin'",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
|
||||
"(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
|
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[[package]]
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[[package]]
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[[package]]
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[[package]]
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Reference in New Issue
Block a user