andre/crewAI
1
0
Fork 0
mirror of https://github.com/crewAIInc/crewAI.git synced 2026-01-07 07:08:31 +00:00
Code Issues Actions 4 Packages Projects Releases Wiki Activity
Files
29a0ac483fbe9c31a42348a1513f4edbc5f36c19
crewAI/lib/crewai/tests/cassettes/test_agent_execute_task_basic.yaml
Lorenze Jay 126b91eab3 Lorenze/native inference sdks (#3619) 
* ruff linted

* using native sdks with litellm fallback

* drop exa

* drop print on completion

* Refactor LLM and utility functions for type consistency

- Updated `max_tokens` parameter in `LLM` class to accept `float` in addition to `int`.
- Modified `create_llm` function to ensure consistent type hints and return types, now returning `LLM | BaseLLM | None`.
- Adjusted type hints for various parameters in `create_llm` and `_llm_via_environment_or_fallback` functions for improved clarity and type safety.
- Enhanced test cases to reflect changes in type handling and ensure proper instantiation of LLM instances.

* fix agent_tests

* fix litellm tests and usagemetrics fix

* drop print

* Refactor LLM event handling and improve test coverage

- Removed commented-out event emission for LLM call failures in `llm.py`.
- Added `from_agent` parameter to `CrewAgentExecutor` for better context in LLM responses.
- Enhanced test for LLM call failure to simulate OpenAI API failure and updated assertions for clarity.
- Updated agent and task ID assertions in tests to ensure they are consistently treated as strings.

* fix test_converter

* fixed tests/agents/test_agent.py

* Refactor LLM context length exception handling and improve provider integration

- Renamed `LLMContextLengthExceededException` to `LLMContextLengthExceededExceptionError` for clarity and consistency.
- Updated LLM class to pass the provider parameter correctly during initialization.
- Enhanced error handling in various LLM provider implementations to raise the new exception type.
- Adjusted tests to reflect the updated exception name and ensure proper error handling in context length scenarios.

* Enhance LLM context window handling across providers

- Introduced CONTEXT_WINDOW_USAGE_RATIO to adjust context window sizes dynamically for Anthropic, Azure, Gemini, and OpenAI LLMs.
- Added validation for context window sizes in Azure and Gemini providers to ensure they fall within acceptable limits.
- Updated context window size calculations to use the new ratio, improving consistency and adaptability across different models.
- Removed hardcoded context window sizes in favor of ratio-based calculations for better flexibility.

* fix test agent again

* fix test agent

* feat: add native LLM providers for Anthropic, Azure, and Gemini

- Introduced new completion implementations for Anthropic, Azure, and Gemini, integrating their respective SDKs.
- Added utility functions for tool validation and extraction to support function calling across LLM providers.
- Enhanced context window management and token usage extraction for each provider.
- Created a common utility module for shared functionality among LLM providers.

* chore: update dependencies and improve context management

- Removed direct dependency on `litellm` from the main dependencies and added it under extras for better modularity.
- Updated the `litellm` dependency specification to allow for greater flexibility in versioning.
- Refactored context length exception handling across various LLM providers to use a consistent error class.
- Enhanced platform-specific dependency markers for NVIDIA packages to ensure compatibility across different systems.

* refactor(tests): update LLM instantiation to include is_litellm flag in test cases

- Modified multiple test cases in test_llm.py to set the is_litellm parameter to True when instantiating the LLM class.
- This change ensures that the tests are aligned with the latest LLM configuration requirements and improves consistency across test scenarios.
- Adjusted relevant assertions and comments to reflect the updated LLM behavior.

* linter

* linted

* revert constants

* fix(tests): correct type hint in expected model description

- Updated the expected description in the test_generate_model_description_dict_field function to use 'Dict' instead of 'dict' for consistency with type hinting conventions.
- This change ensures that the test accurately reflects the expected output format for model descriptions.

* refactor(llm): enhance LLM instantiation and error handling

- Updated the LLM class to include validation for the model parameter, ensuring it is a non-empty string.
- Improved error handling by logging warnings when the native SDK fails, allowing for a fallback to LiteLLM.
- Adjusted the instantiation of LLM in test cases to consistently include the is_litellm flag, aligning with recent changes in LLM configuration.
- Modified relevant tests to reflect these updates, ensuring better coverage and accuracy in testing scenarios.

* fixed test

* refactor(llm): enhance token usage tracking and add copy methods

- Updated the LLM class to track token usage and log callbacks in streaming mode, improving monitoring capabilities.
- Introduced shallow and deep copy methods for the LLM instance, allowing for better management of LLM configurations and parameters.
- Adjusted test cases to instantiate LLM with the is_litellm flag, ensuring alignment with recent changes in LLM configuration.

* refactor(tests): reorganize imports and enhance error messages in test cases

- Cleaned up import statements in test_crew.py for better organization and readability.
- Enhanced error messages in test cases to use `re.escape` for improved regex matching, ensuring more robust error handling.
- Adjusted comments for clarity and consistency across test scenarios.
- Ensured that all necessary modules are imported correctly to avoid potential runtime issues.
2025-10-03 14:32:35 -07:00

188 lines
7.2 KiB
YAML
Raw Blame History

interactions:
- request:
body: '{"messages": [{"role": "system", "content": "You are test role. test backstory\nYour
personal goal is: test goal\nTo give my best complete final answer to the task
respond using the exact following format:\n\nThought: I now can give a great
answer\nFinal Answer: Your final answer must be the great and the most complete
as possible, it must be outcome described.\n\nI MUST use these formats, my job
depends on it!"}, {"role": "user", "content": "\nCurrent Task: Calculate 2 +
2\n\nThis is the expect criteria for your final answer: The result of the calculation\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-mini", "stop":
["\nObservation:"]}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate
connection:
- keep-alive
content-length:
- '833'
content-type:
- application/json
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.59.6
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.59.6
x-stainless-raw-response:
- 'true'
x-stainless-retry-count:
- '0'
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.12.7
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-AoJqi2nPubKHXLut6gkvISe0PizvR\",\n \"object\":
\"chat.completion\",\n \"created\": 1736556064,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"I now can give a great answer \\nFinal
Answer: The result of the calculation 2 + 2 is 4.\",\n \"refusal\": null\n
\ },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n
\ ],\n \"usage\": {\n \"prompt_tokens\": 161,\n \"completion_tokens\":
25,\n \"total_tokens\": 186,\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_bd83329f63\"\n}\n"
headers:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 9000dbe81c55bf7f-ATL
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Sat, 11 Jan 2025 00:41:05 GMT
Server:
- cloudflare
Set-Cookie:
- __cf_bm=LCNQO7gfz6xDjDqEOZ7ha3jDwPnDlsjsmJyScVf4UUw-1736556065-1.0.1.1-2ZcyBDpLvmxy7UOdCrLd6falFapRDuAu6WcVrlOXN0QIgZiDVYD0bCFWGCKeeE.6UjPHoPY6QdlEZZx8.0Pggw;
path=/; expires=Sat, 11-Jan-25 01:11:05 GMT; domain=.api.openai.com; HttpOnly;
Secure; SameSite=None
- _cfuvid=cRATWhxkeoeSGFg3z7_5BrHO3JDsmDX2Ior2i7bNF4M-1736556065175-0.0.1.1-604800000;
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
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '1060'
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:
- '149999810'
x-ratelimit-reset-requests:
- 2ms
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_463fbd324e01320dc253008f919713bd
http_version: HTTP/1.1
status_code: 200
- request:
body: '{"trace_id": "110f149f-af21-4861-b208-2a568e0ec690", "execution_type":
"crew", "user_identifier": null, "execution_context": {"crew_fingerprint": null,
"crew_name": "Unknown Crew", "flow_name": null, "crewai_version": "0.193.2",
"privacy_level": "standard"}, "execution_metadata": {"expected_duration_estimate":
300, "agent_count": 0, "task_count": 0, "flow_method_count": 0, "execution_started_at":
"2025-09-23T20:49:30.660760+00:00"}}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '436'
Content-Type:
- application/json
User-Agent:
- CrewAI-CLI/0.193.2
X-Crewai-Version:
- 0.193.2
method: POST
uri: http://localhost:3000/crewai_plus/api/v1/tracing/batches
response:
body:
string: '{"error":"bad_credentials","message":"Bad credentials"}'
headers:
Content-Length:
- '55'
cache-control:
- no-cache
content-security-policy:
- 'default-src ''self'' *.crewai.com crewai.com; script-src ''self'' ''unsafe-inline''
*.crewai.com crewai.com https://cdn.jsdelivr.net/npm/apexcharts https://www.gstatic.com
https://run.pstmn.io https://share.descript.com/; style-src ''self'' ''unsafe-inline''
*.crewai.com crewai.com https://cdn.jsdelivr.net/npm/apexcharts; img-src ''self''
data: *.crewai.com crewai.com https://zeus.tools.crewai.com https://dashboard.tools.crewai.com
https://cdn.jsdelivr.net; font-src ''self'' data: *.crewai.com crewai.com;
connect-src ''self'' *.crewai.com crewai.com https://zeus.tools.crewai.com
https://connect.useparagon.com/ https://zeus.useparagon.com/* https://*.useparagon.com/*
https://run.pstmn.io https://connect.tools.crewai.com/ ws://localhost:3036
wss://localhost:3036; frame-src ''self'' *.crewai.com crewai.com https://connect.useparagon.com/
https://zeus.tools.crewai.com https://zeus.useparagon.com/* https://connect.tools.crewai.com/
https://www.youtube.com https://share.descript.com'
content-type:
- application/json; charset=utf-8
permissions-policy:
- camera=(), microphone=(self), geolocation=()
referrer-policy:
- strict-origin-when-cross-origin
server-timing:
- cache_read.active_support;dur=0.04, cache_fetch_hit.active_support;dur=0.00,
cache_read_multi.active_support;dur=0.06, start_processing.action_controller;dur=0.00,
process_action.action_controller;dur=1.86
vary:
- Accept
x-content-type-options:
- nosniff
x-frame-options:
- SAMEORIGIN
x-permitted-cross-domain-policies:
- none
x-request-id:
- efa34d51-cac4-408f-95cc-b0f933badd75
x-runtime:
- '0.021535'
x-xss-protection:
- 1; mode=block
status:
code: 401
message: Unauthorized
version: 1
Reference in New Issue View Git Blame Copy Permalink