mirror of
https://github.com/crewAIInc/crewAI.git
synced 2025-12-27 09:48:30 +00:00
Compare commits
4 Commits
feat/trace
...
liteagent-
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
d1edb9deac | ||
|
|
9e9db8ea25 | ||
|
|
dff5173a0d | ||
|
|
1d93842223 |
8
.github/workflows/tests.yml
vendored
8
.github/workflows/tests.yml
vendored
@@ -12,9 +12,6 @@ jobs:
|
||||
tests:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 15
|
||||
strategy:
|
||||
matrix:
|
||||
python-version: ['3.10', '3.11', '3.12']
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
@@ -24,8 +21,9 @@ jobs:
|
||||
with:
|
||||
enable-cache: true
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
run: uv python install ${{ matrix.python-version }}
|
||||
|
||||
- name: Set up Python
|
||||
run: uv python install 3.12.8
|
||||
|
||||
- name: Install the project
|
||||
run: uv sync --dev --all-extras
|
||||
|
||||
@@ -76,7 +76,9 @@
|
||||
"concepts/testing",
|
||||
"concepts/cli",
|
||||
"concepts/tools",
|
||||
"concepts/event-listener"
|
||||
"concepts/event-listener",
|
||||
"concepts/langchain-tools",
|
||||
"concepts/llamaindex-tools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -95,9 +97,7 @@
|
||||
"how-to/kickoff-async",
|
||||
"how-to/kickoff-for-each",
|
||||
"how-to/replay-tasks-from-latest-crew-kickoff",
|
||||
"how-to/conditional-tasks",
|
||||
"how-to/langchain-tools",
|
||||
"how-to/llamaindex-tools"
|
||||
"how-to/conditional-tasks"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -196,11 +196,6 @@
|
||||
"anchor": "Community",
|
||||
"href": "https://community.crewai.com",
|
||||
"icon": "discourse"
|
||||
},
|
||||
{
|
||||
"anchor": "Tutorials",
|
||||
"href": "https://www.youtube.com/@crewAIInc",
|
||||
"icon": "youtube"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@@ -263,7 +263,6 @@ Let's create our flow in the `main.py` file:
|
||||
```python
|
||||
#!/usr/bin/env python
|
||||
import json
|
||||
import os
|
||||
from typing import List, Dict
|
||||
from pydantic import BaseModel, Field
|
||||
from crewai import LLM
|
||||
@@ -342,9 +341,6 @@ class GuideCreatorFlow(Flow[GuideCreatorState]):
|
||||
outline_dict = json.loads(response)
|
||||
self.state.guide_outline = GuideOutline(**outline_dict)
|
||||
|
||||
# Ensure output directory exists before saving
|
||||
os.makedirs("output", exist_ok=True)
|
||||
|
||||
# Save the outline to a file
|
||||
with open("output/guide_outline.json", "w") as f:
|
||||
json.dump(outline_dict, f, indent=2)
|
||||
|
||||
@@ -4,21 +4,6 @@ description: Get started with CrewAI - Install, configure, and build your first
|
||||
icon: wrench
|
||||
---
|
||||
|
||||
## Video Tutorial
|
||||
Watch this video tutorial for a step-by-step demonstration of the installation process:
|
||||
|
||||
<iframe
|
||||
width="100%"
|
||||
height="400"
|
||||
src="https://www.youtube.com/embed/-kSOTtYzgEw"
|
||||
title="CrewAI Installation Guide"
|
||||
frameborder="0"
|
||||
style={{ borderRadius: '10px' }}
|
||||
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
|
||||
allowfullscreen
|
||||
></iframe>
|
||||
|
||||
## Text Tutorial
|
||||
<Note>
|
||||
**Python Version Requirements**
|
||||
|
||||
|
||||
@@ -25,7 +25,7 @@ uv add weaviate-client
|
||||
To effectively use the `WeaviateVectorSearchTool`, follow these steps:
|
||||
|
||||
1. **Package Installation**: Confirm that the `crewai[tools]` and `weaviate-client` packages are installed in your Python environment.
|
||||
2. **Weaviate Setup**: Set up a Weaviate cluster. You can follow the [Weaviate documentation](https://weaviate.io/developers/wcs/manage-clusters/connect) for instructions.
|
||||
2. **Weaviate Setup**: Set up a Weaviate cluster. You can follow the [Weaviate documentation](https://weaviate.io/developers/wcs/connect) for instructions.
|
||||
3. **API Keys**: Obtain your Weaviate cluster URL and API key.
|
||||
4. **OpenAI API Key**: Ensure you have an OpenAI API key set in your environment variables as `OPENAI_API_KEY`.
|
||||
|
||||
@@ -161,4 +161,4 @@ rag_agent = Agent(
|
||||
|
||||
## Conclusion
|
||||
|
||||
The `WeaviateVectorSearchTool` provides a powerful way to search for semantically similar documents in a Weaviate vector database. By leveraging vector embeddings, it enables more accurate and contextually relevant search results compared to traditional keyword-based searches. This tool is particularly useful for applications that require finding information based on meaning rather than exact matches.
|
||||
The `WeaviateVectorSearchTool` provides a powerful way to search for semantically similar documents in a Weaviate vector database. By leveraging vector embeddings, it enables more accurate and contextually relevant search results compared to traditional keyword-based searches. This tool is particularly useful for applications that require finding information based on meaning rather than exact matches.
|
||||
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "crewai"
|
||||
version = "0.114.0"
|
||||
version = "0.108.0"
|
||||
description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10,<3.13"
|
||||
|
||||
@@ -17,7 +17,7 @@ warnings.filterwarnings(
|
||||
category=UserWarning,
|
||||
module="pydantic.main",
|
||||
)
|
||||
__version__ = "0.114.0"
|
||||
__version__ = "0.108.0"
|
||||
__all__ = [
|
||||
"Agent",
|
||||
"Crew",
|
||||
|
||||
@@ -482,7 +482,6 @@ class Agent(BaseAgent):
|
||||
verbose=self.verbose,
|
||||
response_format=response_format,
|
||||
i18n=self.i18n,
|
||||
original_agent=self,
|
||||
)
|
||||
|
||||
return lite_agent.kickoff(messages)
|
||||
|
||||
@@ -60,7 +60,7 @@ def test():
|
||||
"current_year": str(datetime.now().year)
|
||||
}
|
||||
try:
|
||||
{{crew_name}}().crew().test(n_iterations=int(sys.argv[1]), eval_llm=sys.argv[2], inputs=inputs)
|
||||
{{crew_name}}().crew().test(n_iterations=int(sys.argv[1]), openai_model_name=sys.argv[2], inputs=inputs)
|
||||
|
||||
except Exception as e:
|
||||
raise Exception(f"An error occurred while testing the crew: {e}")
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
|
||||
authors = [{ name = "Your Name", email = "you@example.com" }]
|
||||
requires-python = ">=3.10,<3.13"
|
||||
dependencies = [
|
||||
"crewai[tools]>=0.114.0,<1.0.0"
|
||||
"crewai[tools]>=0.108.0,<1.0.0"
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
|
||||
authors = [{ name = "Your Name", email = "you@example.com" }]
|
||||
requires-python = ">=3.10,<3.13"
|
||||
dependencies = [
|
||||
"crewai[tools]>=0.114.0,<1.0.0",
|
||||
"crewai[tools]>=0.108.0,<1.0.0",
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10,<3.13"
|
||||
dependencies = [
|
||||
"crewai[tools]>=0.114.0"
|
||||
"crewai[tools]>=0.108.0"
|
||||
]
|
||||
|
||||
[tool.crewai]
|
||||
|
||||
@@ -1043,7 +1043,6 @@ class Flow(Generic[T], metaclass=FlowMeta):
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
raise
|
||||
|
||||
def _log_flow_event(
|
||||
self, message: str, color: str = "yellow", level: str = "info"
|
||||
|
||||
@@ -47,6 +47,11 @@ from crewai.utilities.events.llm_events import (
|
||||
LLMCallStartedEvent,
|
||||
LLMCallType,
|
||||
)
|
||||
from crewai.utilities.events.tool_usage_events import (
|
||||
ToolUsageErrorEvent,
|
||||
ToolUsageFinishedEvent,
|
||||
ToolUsageStartedEvent,
|
||||
)
|
||||
from crewai.utilities.llm_utils import create_llm
|
||||
from crewai.utilities.printer import Printer
|
||||
from crewai.utilities.token_counter_callback import TokenCalcHandler
|
||||
@@ -150,10 +155,6 @@ class LiteAgent(BaseModel):
|
||||
default=[], description="Results of the tools used by the agent."
|
||||
)
|
||||
|
||||
# Reference of Agent
|
||||
original_agent: Optional[BaseAgent] = Field(
|
||||
default=None, description="Reference to the agent that created this LiteAgent"
|
||||
)
|
||||
# Private Attributes
|
||||
_parsed_tools: List[CrewStructuredTool] = PrivateAttr(default_factory=list)
|
||||
_token_process: TokenProcess = PrivateAttr(default_factory=TokenProcess)
|
||||
@@ -162,7 +163,7 @@ class LiteAgent(BaseModel):
|
||||
_messages: List[Dict[str, str]] = PrivateAttr(default_factory=list)
|
||||
_iterations: int = PrivateAttr(default=0)
|
||||
_printer: Printer = PrivateAttr(default_factory=Printer)
|
||||
|
||||
|
||||
@model_validator(mode="after")
|
||||
def setup_llm(self):
|
||||
"""Set up the LLM and other components after initialization."""
|
||||
@@ -411,6 +412,18 @@ class LiteAgent(BaseModel):
|
||||
formatted_answer = process_llm_response(answer, self.use_stop_words)
|
||||
|
||||
if isinstance(formatted_answer, AgentAction):
|
||||
# Emit tool usage started event
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=ToolUsageStartedEvent(
|
||||
agent_key=self.key,
|
||||
agent_role=self.role,
|
||||
tool_name=formatted_answer.tool,
|
||||
tool_args=formatted_answer.tool_input,
|
||||
tool_class=formatted_answer.tool,
|
||||
),
|
||||
)
|
||||
|
||||
try:
|
||||
tool_result = execute_tool_and_check_finality(
|
||||
agent_action=formatted_answer,
|
||||
@@ -418,9 +431,34 @@ class LiteAgent(BaseModel):
|
||||
i18n=self.i18n,
|
||||
agent_key=self.key,
|
||||
agent_role=self.role,
|
||||
agent=self.original_agent,
|
||||
)
|
||||
# Emit tool usage finished event
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=ToolUsageFinishedEvent(
|
||||
agent_key=self.key,
|
||||
agent_role=self.role,
|
||||
tool_name=formatted_answer.tool,
|
||||
tool_args=formatted_answer.tool_input,
|
||||
tool_class=formatted_answer.tool,
|
||||
started_at=datetime.now(),
|
||||
finished_at=datetime.now(),
|
||||
output=tool_result.result,
|
||||
),
|
||||
)
|
||||
except Exception as e:
|
||||
# Emit tool usage error event
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=ToolUsageErrorEvent(
|
||||
agent_key=self.key,
|
||||
agent_role=self.role,
|
||||
tool_name=formatted_answer.tool,
|
||||
tool_args=formatted_answer.tool_input,
|
||||
tool_class=formatted_answer.tool,
|
||||
error=str(e),
|
||||
),
|
||||
)
|
||||
raise e
|
||||
|
||||
formatted_answer = handle_agent_action_core(
|
||||
|
||||
@@ -707,6 +707,15 @@ class LLM(BaseLLM):
|
||||
function_name, lambda: None
|
||||
) # Ensure fn is always a callable
|
||||
logging.error(f"Error executing function '{function_name}': {e}")
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=ToolExecutionErrorEvent(
|
||||
tool_name=function_name,
|
||||
tool_args=function_args,
|
||||
tool_class=fn,
|
||||
error=str(e),
|
||||
),
|
||||
)
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=LLMCallFailedEvent(error=f"Tool execution error: {str(e)}"),
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from typing import TYPE_CHECKING, Any, Dict, Optional
|
||||
from typing import TYPE_CHECKING, Any, Dict, Optional, Self
|
||||
|
||||
from crewai.memory.external.external_memory_item import ExternalMemoryItem
|
||||
from crewai.memory.memory import Memory
|
||||
@@ -52,7 +52,7 @@ class ExternalMemory(Memory):
|
||||
def reset(self) -> None:
|
||||
self.storage.reset()
|
||||
|
||||
def set_crew(self, crew: Any) -> "ExternalMemory":
|
||||
def set_crew(self, crew: Any) -> Self:
|
||||
super().set_crew(crew)
|
||||
|
||||
if not self.storage:
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from typing import Any, Dict, List, Optional
|
||||
from typing import Any, Dict, List, Optional, Self
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
@@ -38,6 +38,6 @@ class Memory(BaseModel):
|
||||
query=query, limit=limit, score_threshold=score_threshold
|
||||
)
|
||||
|
||||
def set_crew(self, crew: Any) -> "Memory":
|
||||
def set_crew(self, crew: Any) -> Self:
|
||||
self.crew = crew
|
||||
return self
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import asyncio
|
||||
import warnings
|
||||
from abc import ABC, abstractmethod
|
||||
from inspect import signature
|
||||
@@ -66,13 +65,7 @@ class BaseTool(BaseModel, ABC):
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
print(f"Using Tool: {self.name}")
|
||||
result = self._run(*args, **kwargs)
|
||||
|
||||
# If _run is async, we safely run it
|
||||
if asyncio.iscoroutine(result):
|
||||
return asyncio.run(result)
|
||||
|
||||
return result
|
||||
return self._run(*args, **kwargs)
|
||||
|
||||
@abstractmethod
|
||||
def _run(
|
||||
@@ -251,13 +244,9 @@ def to_langchain(
|
||||
return [t.to_structured_tool() if isinstance(t, BaseTool) else t for t in tools]
|
||||
|
||||
|
||||
def tool(*args, result_as_answer=False):
|
||||
def tool(*args):
|
||||
"""
|
||||
Decorator to create a tool from a function.
|
||||
|
||||
Args:
|
||||
*args: Positional arguments, either the function to decorate or the tool name.
|
||||
result_as_answer: Flag to indicate if the tool result should be used as the final agent answer.
|
||||
"""
|
||||
|
||||
def _make_with_name(tool_name: str) -> Callable:
|
||||
@@ -283,7 +272,6 @@ def tool(*args, result_as_answer=False):
|
||||
description=f.__doc__,
|
||||
func=f,
|
||||
args_schema=args_schema,
|
||||
result_as_answer=result_as_answer,
|
||||
)
|
||||
|
||||
return _make_tool
|
||||
|
||||
@@ -2,6 +2,7 @@ import ast
|
||||
import datetime
|
||||
import json
|
||||
import time
|
||||
from dataclasses import dataclass
|
||||
from difflib import SequenceMatcher
|
||||
from json import JSONDecodeError
|
||||
from textwrap import dedent
|
||||
@@ -25,7 +26,6 @@ from crewai.utilities.events.tool_usage_events import (
|
||||
ToolSelectionErrorEvent,
|
||||
ToolUsageErrorEvent,
|
||||
ToolUsageFinishedEvent,
|
||||
ToolUsageStartedEvent,
|
||||
ToolValidateInputErrorEvent,
|
||||
)
|
||||
|
||||
@@ -166,21 +166,6 @@ class ToolUsage:
|
||||
if self.task:
|
||||
self.task.increment_tools_errors()
|
||||
|
||||
if self.agent:
|
||||
event_data = {
|
||||
"agent_key": self.agent.key,
|
||||
"agent_role": self.agent.role,
|
||||
"tool_name": self.action.tool,
|
||||
"tool_args": self.action.tool_input,
|
||||
"tool_class": self.action.tool,
|
||||
"agent": self.agent,
|
||||
}
|
||||
|
||||
if self.agent.fingerprint:
|
||||
event_data.update(self.agent.fingerprint)
|
||||
|
||||
crewai_event_bus.emit(self,ToolUsageStartedEvent(**event_data))
|
||||
|
||||
started_at = time.time()
|
||||
from_cache = False
|
||||
result = None # type: ignore
|
||||
|
||||
@@ -16,6 +16,7 @@ from crewai.tools.base_tool import BaseTool
|
||||
from crewai.tools.structured_tool import CrewStructuredTool
|
||||
from crewai.tools.tool_types import ToolResult
|
||||
from crewai.utilities import I18N, Printer
|
||||
from crewai.utilities.events.tool_usage_events import ToolUsageStartedEvent
|
||||
from crewai.utilities.exceptions.context_window_exceeding_exception import (
|
||||
LLMContextLengthExceededException,
|
||||
)
|
||||
|
||||
@@ -5,6 +5,11 @@ from crewai.security import Fingerprint
|
||||
from crewai.tools.structured_tool import CrewStructuredTool
|
||||
from crewai.tools.tool_types import ToolResult
|
||||
from crewai.tools.tool_usage import ToolUsage, ToolUsageErrorException
|
||||
from crewai.utilities.events import crewai_event_bus
|
||||
from crewai.utilities.events.tool_usage_events import (
|
||||
ToolUsageErrorEvent,
|
||||
ToolUsageStartedEvent,
|
||||
)
|
||||
from crewai.utilities.i18n import I18N
|
||||
|
||||
|
||||
@@ -37,8 +42,10 @@ def execute_tool_and_check_finality(
|
||||
ToolResult containing the execution result and whether it should be treated as a final answer
|
||||
"""
|
||||
try:
|
||||
# Create tool name to tool map
|
||||
tool_name_to_tool_map = {tool.name: tool for tool in tools}
|
||||
|
||||
# Emit tool usage event if agent info is available
|
||||
if agent_key and agent_role and agent:
|
||||
fingerprint_context = fingerprint_context or {}
|
||||
if agent:
|
||||
@@ -52,6 +59,22 @@ def execute_tool_and_check_finality(
|
||||
except Exception as e:
|
||||
raise ValueError(f"Failed to set fingerprint: {e}")
|
||||
|
||||
event_data = {
|
||||
"agent_key": agent_key,
|
||||
"agent_role": agent_role,
|
||||
"tool_name": agent_action.tool,
|
||||
"tool_args": agent_action.tool_input,
|
||||
"tool_class": agent_action.tool,
|
||||
"agent": agent,
|
||||
}
|
||||
event_data.update(fingerprint_context)
|
||||
crewai_event_bus.emit(
|
||||
agent,
|
||||
event=ToolUsageStartedEvent(
|
||||
**event_data,
|
||||
),
|
||||
)
|
||||
|
||||
# Create tool usage instance
|
||||
tool_usage = ToolUsage(
|
||||
tools_handler=tools_handler,
|
||||
@@ -87,4 +110,17 @@ def execute_tool_and_check_finality(
|
||||
return ToolResult(tool_result, False)
|
||||
|
||||
except Exception as e:
|
||||
# Emit error event if agent info is available
|
||||
if agent_key and agent_role and agent:
|
||||
crewai_event_bus.emit(
|
||||
agent,
|
||||
event=ToolUsageErrorEvent(
|
||||
agent_key=agent_key,
|
||||
agent_role=agent_role,
|
||||
tool_name=agent_action.tool,
|
||||
tool_args=agent_action.tool_input,
|
||||
tool_class=agent_action.tool,
|
||||
error=str(e),
|
||||
),
|
||||
)
|
||||
raise e
|
||||
|
||||
112
tests/cassettes/test_tool_execution_error_event.yaml
Normal file
112
tests/cassettes/test_tool_execution_error_event.yaml
Normal file
@@ -0,0 +1,112 @@
|
||||
interactions:
|
||||
- request:
|
||||
body: '{"messages": [{"role": "user", "content": "Use the failing tool"}], "model":
|
||||
"gpt-4o-mini", "stop": [], "tools": [{"type": "function", "function": {"name":
|
||||
"failing_tool", "description": "This tool always fails.", "parameters": {"type":
|
||||
"object", "properties": {"param": {"type": "string", "description": "A test
|
||||
parameter"}}, "required": ["param"]}}}]}'
|
||||
headers:
|
||||
accept:
|
||||
- application/json
|
||||
accept-encoding:
|
||||
- gzip, deflate
|
||||
connection:
|
||||
- keep-alive
|
||||
content-length:
|
||||
- '353'
|
||||
content-type:
|
||||
- application/json
|
||||
host:
|
||||
- api.openai.com
|
||||
user-agent:
|
||||
- OpenAI/Python 1.61.0
|
||||
x-stainless-arch:
|
||||
- arm64
|
||||
x-stainless-async:
|
||||
- 'false'
|
||||
x-stainless-lang:
|
||||
- python
|
||||
x-stainless-os:
|
||||
- MacOS
|
||||
x-stainless-package-version:
|
||||
- 1.61.0
|
||||
x-stainless-raw-response:
|
||||
- 'true'
|
||||
x-stainless-retry-count:
|
||||
- '0'
|
||||
x-stainless-runtime:
|
||||
- CPython
|
||||
x-stainless-runtime-version:
|
||||
- 3.12.8
|
||||
method: POST
|
||||
uri: https://api.openai.com/v1/chat/completions
|
||||
response:
|
||||
content: "{\n \"id\": \"chatcmpl-B2P4zoJZuES7Aom8ugEq1modz5Vsl\",\n \"object\":
|
||||
\"chat.completion\",\n \"created\": 1739912761,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n
|
||||
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
|
||||
\"assistant\",\n \"content\": null,\n \"tool_calls\": [\n {\n
|
||||
\ \"id\": \"call_F6fJxISpMKUBIGV6dd2vjRNG\",\n \"type\":
|
||||
\"function\",\n \"function\": {\n \"name\": \"failing_tool\",\n
|
||||
\ \"arguments\": \"{\\\"param\\\":\\\"test\\\"}\"\n }\n
|
||||
\ }\n ],\n \"refusal\": null\n },\n \"logprobs\":
|
||||
null,\n \"finish_reason\": \"tool_calls\"\n }\n ],\n \"usage\": {\n
|
||||
\ \"prompt_tokens\": 51,\n \"completion_tokens\": 15,\n \"total_tokens\":
|
||||
66,\n \"prompt_tokens_details\": {\n \"cached_tokens\": 0,\n \"audio_tokens\":
|
||||
0\n },\n \"completion_tokens_details\": {\n \"reasoning_tokens\":
|
||||
0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": 0,\n \"rejected_prediction_tokens\":
|
||||
0\n }\n },\n \"service_tier\": \"default\",\n \"system_fingerprint\":
|
||||
\"fp_00428b782a\"\n}\n"
|
||||
headers:
|
||||
CF-RAY:
|
||||
- 9140fa827f38eb1e-SJC
|
||||
Connection:
|
||||
- keep-alive
|
||||
Content-Encoding:
|
||||
- gzip
|
||||
Content-Type:
|
||||
- application/json
|
||||
Date:
|
||||
- Tue, 18 Feb 2025 21:06:02 GMT
|
||||
Server:
|
||||
- cloudflare
|
||||
Set-Cookie:
|
||||
- __cf_bm=xbuu3IQpCMh.43ZrqL1TRMECOc6QldgHV0hzOX1GrWI-1739912762-1.0.1.1-t7iyq5xMioPrwfeaHLvPT9rwRPp7Q9A9uIm69icH9dPxRD4xMA3cWqb1aXj1_e2IyAEQQWFe1UWjlmJ22aHh3Q;
|
||||
path=/; expires=Tue, 18-Feb-25 21:36:02 GMT; domain=.api.openai.com; HttpOnly;
|
||||
Secure; SameSite=None
|
||||
- _cfuvid=x9l.Rhja8_wXDN.j8qcEU1PvvEqAwZp4Fd3s_aj4qwM-1739912762161-0.0.1.1-604800000;
|
||||
path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
|
||||
Transfer-Encoding:
|
||||
- chunked
|
||||
X-Content-Type-Options:
|
||||
- nosniff
|
||||
access-control-expose-headers:
|
||||
- X-Request-ID
|
||||
alt-svc:
|
||||
- h3=":443"; ma=86400
|
||||
cf-cache-status:
|
||||
- DYNAMIC
|
||||
openai-organization:
|
||||
- crewai-iuxna1
|
||||
openai-processing-ms:
|
||||
- '861'
|
||||
openai-version:
|
||||
- '2020-10-01'
|
||||
strict-transport-security:
|
||||
- max-age=31536000; includeSubDomains; preload
|
||||
x-ratelimit-limit-requests:
|
||||
- '30000'
|
||||
x-ratelimit-limit-tokens:
|
||||
- '150000000'
|
||||
x-ratelimit-remaining-requests:
|
||||
- '29999'
|
||||
x-ratelimit-remaining-tokens:
|
||||
- '149999978'
|
||||
x-ratelimit-reset-requests:
|
||||
- 2ms
|
||||
x-ratelimit-reset-tokens:
|
||||
- 0s
|
||||
x-request-id:
|
||||
- req_8666ec3aa6677cb346ba00993556051d
|
||||
http_version: HTTP/1.1
|
||||
status_code: 200
|
||||
version: 1
|
||||
@@ -395,3 +395,51 @@ def test_deepseek_r1_with_open_router():
|
||||
result = llm.call("What is the capital of France?")
|
||||
assert isinstance(result, str)
|
||||
assert "Paris" in result
|
||||
|
||||
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_tool_execution_error_event():
|
||||
llm = LLM(model="gpt-4o-mini")
|
||||
|
||||
def failing_tool(param: str) -> str:
|
||||
"""This tool always fails."""
|
||||
raise Exception("Tool execution failed!")
|
||||
|
||||
tool_schema = {
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "failing_tool",
|
||||
"description": "This tool always fails.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"param": {"type": "string", "description": "A test parameter"}
|
||||
},
|
||||
"required": ["param"],
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
received_events = []
|
||||
|
||||
@crewai_event_bus.on(ToolExecutionErrorEvent)
|
||||
def event_handler(source, event):
|
||||
received_events.append(event)
|
||||
|
||||
available_functions = {"failing_tool": failing_tool}
|
||||
|
||||
messages = [{"role": "user", "content": "Use the failing tool"}]
|
||||
|
||||
llm.call(
|
||||
messages,
|
||||
tools=[tool_schema],
|
||||
available_functions=available_functions,
|
||||
)
|
||||
|
||||
assert len(received_events) == 1
|
||||
event = received_events[0]
|
||||
assert isinstance(event, ToolExecutionErrorEvent)
|
||||
assert event.tool_name == "failing_tool"
|
||||
assert event.tool_args == {"param": "test"}
|
||||
assert event.tool_class == failing_tool
|
||||
assert "Tool execution failed!" in event.error
|
||||
|
||||
@@ -1,8 +1,4 @@
|
||||
import asyncio
|
||||
import inspect
|
||||
import unittest
|
||||
from typing import Any, Callable, Dict, List
|
||||
from unittest.mock import patch
|
||||
from typing import Callable
|
||||
|
||||
from crewai.tools import BaseTool, tool
|
||||
|
||||
@@ -104,91 +100,3 @@ def test_default_cache_function_is_true():
|
||||
my_tool = MyCustomTool()
|
||||
# Assert all the right attributes were defined
|
||||
assert my_tool.cache_function()
|
||||
|
||||
|
||||
def test_result_as_answer_in_tool_decorator():
|
||||
@tool("Tool with result as answer", result_as_answer=True)
|
||||
def my_tool_with_result_as_answer(question: str) -> str:
|
||||
"""This tool will return its result as the final answer."""
|
||||
return question
|
||||
|
||||
assert my_tool_with_result_as_answer.result_as_answer is True
|
||||
|
||||
converted_tool = my_tool_with_result_as_answer.to_structured_tool()
|
||||
assert converted_tool.result_as_answer is True
|
||||
|
||||
@tool("Tool with default result_as_answer")
|
||||
def my_tool_with_default(question: str) -> str:
|
||||
"""This tool uses the default result_as_answer value."""
|
||||
return question
|
||||
|
||||
assert my_tool_with_default.result_as_answer is False
|
||||
|
||||
converted_tool = my_tool_with_default.to_structured_tool()
|
||||
assert converted_tool.result_as_answer is False
|
||||
|
||||
|
||||
class SyncTool(BaseTool):
|
||||
"""Test implementation with a synchronous _run method"""
|
||||
name: str = "sync_tool"
|
||||
description: str = "A synchronous tool for testing"
|
||||
|
||||
def _run(self, input_text: str) -> str:
|
||||
"""Process input text synchronously."""
|
||||
return f"Processed {input_text} synchronously"
|
||||
|
||||
|
||||
class AsyncTool(BaseTool):
|
||||
"""Test implementation with an asynchronous _run method"""
|
||||
name: str = "async_tool"
|
||||
description: str = "An asynchronous tool for testing"
|
||||
|
||||
async def _run(self, input_text: str) -> str:
|
||||
"""Process input text asynchronously."""
|
||||
await asyncio.sleep(0.1) # Simulate async operation
|
||||
return f"Processed {input_text} asynchronously"
|
||||
|
||||
|
||||
def test_sync_run_returns_direct_result():
|
||||
"""Test that _run in a synchronous tool returns a direct result, not a coroutine."""
|
||||
tool = SyncTool()
|
||||
result = tool._run(input_text="hello")
|
||||
|
||||
assert not asyncio.iscoroutine(result)
|
||||
assert result == "Processed hello synchronously"
|
||||
|
||||
run_result = tool.run(input_text="hello")
|
||||
assert run_result == "Processed hello synchronously"
|
||||
|
||||
|
||||
def test_async_run_returns_coroutine():
|
||||
"""Test that _run in an asynchronous tool returns a coroutine object."""
|
||||
tool = AsyncTool()
|
||||
result = tool._run(input_text="hello")
|
||||
|
||||
assert asyncio.iscoroutine(result)
|
||||
result.close() # Clean up the coroutine
|
||||
|
||||
|
||||
def test_run_calls_asyncio_run_for_async_tools():
|
||||
"""Test that asyncio.run is called when using async tools."""
|
||||
async_tool = AsyncTool()
|
||||
|
||||
with patch('asyncio.run') as mock_run:
|
||||
mock_run.return_value = "Processed test asynchronously"
|
||||
async_result = async_tool.run(input_text="test")
|
||||
|
||||
mock_run.assert_called_once()
|
||||
assert async_result == "Processed test asynchronously"
|
||||
|
||||
|
||||
def test_run_does_not_call_asyncio_run_for_sync_tools():
|
||||
"""Test that asyncio.run is NOT called when using sync tools."""
|
||||
sync_tool = SyncTool()
|
||||
|
||||
with patch('asyncio.run') as mock_run:
|
||||
sync_result = sync_tool.run(input_text="test")
|
||||
|
||||
mock_run.assert_not_called()
|
||||
assert sync_result == "Processed test synchronously"
|
||||
|
||||
|
||||
102
uv.lock
generated
102
uv.lock
generated
@@ -1,42 +1,19 @@
|
||||
version = 1
|
||||
revision = 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'",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
|
||||
"(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 sys_platform != '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 != 'darwin' and sys_platform != 'linux'",
|
||||
"(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' and sys_platform != 'linux')",
|
||||
"python_full_version >= '3.12.4' and platform_system == 'Darwin' and sys_platform == 'darwin'",
|
||||
"python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
|
||||
"(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version >= '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
|
||||
"python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
|
||||
"python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
|
||||
"python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
|
||||
"(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12.4' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
"python_full_version >= '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
|
||||
"(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version >= '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
"python_full_version < '3.11' and sys_platform == 'darwin'",
|
||||
"python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
|
||||
"(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
"python_full_version == '3.11.*' and sys_platform == 'darwin'",
|
||||
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
|
||||
"(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform == 'darwin'",
|
||||
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
|
||||
"(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
"python_full_version >= '3.12.4' and sys_platform == 'darwin'",
|
||||
"python_full_version >= '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
|
||||
"(python_full_version >= '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -344,7 +321,7 @@ name = "build"
|
||||
version = "1.2.2.post1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "os_name == 'nt'" },
|
||||
{ name = "colorama", marker = "(os_name == 'nt' and platform_machine != 'aarch64' and sys_platform == 'linux') or (os_name == 'nt' and sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
{ name = "importlib-metadata", marker = "python_full_version < '3.10.2'" },
|
||||
{ name = "packaging" },
|
||||
{ name = "pyproject-hooks" },
|
||||
@@ -579,7 +556,7 @@ name = "click"
|
||||
version = "8.1.8"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "platform_system == 'Windows'" },
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
|
||||
wheels = [
|
||||
@@ -630,7 +607,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "crewai"
|
||||
version = "0.114.0"
|
||||
version = "0.108.0"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "appdirs" },
|
||||
@@ -745,6 +722,7 @@ requires-dist = [
|
||||
{ name = "tomli-w", specifier = ">=1.1.0" },
|
||||
{ name = "uv", specifier = ">=0.4.25" },
|
||||
]
|
||||
provides-extras = ["tools", "embeddings", "agentops", "fastembed", "pdfplumber", "pandas", "openpyxl", "mem0", "docling", "aisuite"]
|
||||
|
||||
[package.metadata.requires-dev]
|
||||
dev = [
|
||||
@@ -2518,7 +2496,7 @@ version = "1.6.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "click" },
|
||||
{ name = "colorama", marker = "platform_system == 'Windows'" },
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
{ name = "ghp-import" },
|
||||
{ name = "jinja2" },
|
||||
{ name = "markdown" },
|
||||
@@ -2699,7 +2677,7 @@ version = "2.10.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "pygments" },
|
||||
{ name = "pywin32", marker = "platform_system == 'Windows'" },
|
||||
{ name = "pywin32", marker = "sys_platform == 'win32'" },
|
||||
{ name = "tqdm" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/3a/93/80ac75c20ce54c785648b4ed363c88f148bf22637e10c9863db4fbe73e74/mpire-2.10.2.tar.gz", hash = "sha256:f66a321e93fadff34585a4bfa05e95bd946cf714b442f51c529038eb45773d97", size = 271270 }
|
||||
@@ -2946,7 +2924,7 @@ name = "nvidia-cudnn-cu12"
|
||||
version = "9.1.0.70"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
|
||||
{ name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f", size = 664752741 },
|
||||
@@ -2973,9 +2951,9 @@ name = "nvidia-cusolver-cu12"
|
||||
version = "11.4.5.107"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
|
||||
{ name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
|
||||
{ name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
|
||||
{ name = "nvidia-cublas-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
{ name = "nvidia-cusparse-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
{ name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/bc/1d/8de1e5c67099015c834315e333911273a8c6aaba78923dd1d1e25fc5f217/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd", size = 124161928 },
|
||||
@@ -2986,7 +2964,7 @@ name = "nvidia-cusparse-cu12"
|
||||
version = "12.1.0.106"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
|
||||
{ name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/65/5b/cfaeebf25cd9fdec14338ccb16f6b2c4c7fa9163aefcf057d86b9cc248bb/nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c", size = 195958278 },
|
||||
@@ -2997,7 +2975,6 @@ name = "nvidia-nccl-cu12"
|
||||
version = "2.20.5"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c1/bb/d09dda47c881f9ff504afd6f9ca4f502ded6d8fc2f572cacc5e39da91c28/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01", size = 176238458 },
|
||||
{ url = "https://files.pythonhosted.org/packages/4b/2a/0a131f572aa09f741c30ccd45a8e56316e8be8dfc7bc19bf0ab7cfef7b19/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56", size = 176249402 },
|
||||
]
|
||||
|
||||
@@ -3007,7 +2984,6 @@ version = "12.6.85"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/9d/d7/c5383e47c7e9bf1c99d5bd2a8c935af2b6d705ad831a7ec5c97db4d82f4f/nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a", size = 19744971 },
|
||||
{ url = "https://files.pythonhosted.org/packages/31/db/dc71113d441f208cdfe7ae10d4983884e13f464a6252450693365e166dcf/nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41", size = 19270338 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -3525,7 +3501,7 @@ name = "portalocker"
|
||||
version = "2.10.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "pywin32", marker = "platform_system == 'Windows'" },
|
||||
{ name = "pywin32", marker = "sys_platform == 'win32'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
|
||||
wheels = [
|
||||
@@ -5032,19 +5008,19 @@ dependencies = [
|
||||
{ name = "fsspec" },
|
||||
{ name = "jinja2" },
|
||||
{ name = "networkx" },
|
||||
{ name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "sympy" },
|
||||
{ name = "triton", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
|
||||
{ name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
wheels = [
|
||||
@@ -5091,7 +5067,7 @@ name = "tqdm"
|
||||
version = "4.66.5"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "platform_system == 'Windows'" },
|
||||
{ name = "colorama", marker = "sys_platform == 'win32'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/58/83/6ba9844a41128c62e810fddddd72473201f3eacde02046066142a2d96cc5/tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad", size = 169504 }
|
||||
wheels = [
|
||||
@@ -5133,7 +5109,7 @@ name = "triton"
|
||||
version = "3.0.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "filelock", marker = "(platform_machine != 'aarch64' and platform_system != 'Darwin') or (platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'linux')" },
|
||||
{ name = "filelock", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/45/27/14cc3101409b9b4b9241d2ba7deaa93535a217a211c86c4cc7151fb12181/triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a", size = 209376304 },
|
||||
|
||||
Reference in New Issue
Block a user