andre/crewAI
1
0
Fork 0
mirror of https://github.com/crewAIInc/crewAI.git synced 2026-01-09 16:18:30 +00:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity
Files
b546982690995c189f19f99061ddb5af41a2ac11
crewAI/lib/crewai/tests/cassettes/test_guardrail_reached_attempt_limit.yaml
Lorenze Jay d1343b96ed Release/v1.0.0 (#3618) 
* feat: add `apps` & `actions` attributes to Agent (#3504)

* feat: add app attributes to Agent

* feat: add actions attribute to Agent

* chore: resolve linter issues

* refactor: merge the apps and actions parameters into a single one

* fix: remove unnecessary print

* feat: logging error when CrewaiPlatformTools fails

* chore: export CrewaiPlatformTools directly from crewai_tools

* style: resolver linter issues

* test: fix broken tests

* style: solve linter issues

* fix: fix broken test

* feat: monorepo restructure and test/ci updates

- Add crewai workspace member
- Fix vcr cassette paths and restore test dirs
- Resolve ci failures and update linter/pytest rules

* chore: update python version to 3.13 and package metadata

* feat: add crewai-tools workspace and fix tests/dependencies

* feat: add crewai-tools workspace structure

* Squashed 'temp-crewai-tools/' content from commit 9bae5633

git-subtree-dir: temp-crewai-tools
git-subtree-split: 9bae56339096cb70f03873e600192bd2cd207ac9

* feat: configure crewai-tools workspace package with dependencies

* fix: apply ruff auto-formatting to crewai-tools code

* chore: update lockfile

* fix: don't allow tool tests yet

* fix: comment out extra pytest flags for now

* fix: remove conflicting conftest.py from crewai-tools tests

* fix: resolve dependency conflicts and test issues

- Pin vcrpy to 7.0.0 to fix pytest-recording compatibility
- Comment out types-requests to resolve urllib3 conflict
- Update requests requirement in crewai-tools to >=2.32.0

* chore: update CI workflows and docs for monorepo structure

* chore: update CI workflows and docs for monorepo structure

* fix: actions syntax

* chore: ci publish and pin versions

* fix: add permission to action

* chore: bump version to 1.0.0a1 across all packages

- Updated version to 1.0.0a1 in pyproject.toml for crewai and crewai-tools
- Adjusted version in __init__.py files for consistency

* WIP: v1 docs (#3626)

(cherry picked from commit d46e20fa09bcd2f5916282f5553ddeb7183bd92c)

* docs: parity for all translations

* docs: full name of acronym AMP

* docs: fix lingering unused code

* docs: expand contextual options in docs.json

* docs: add contextual action to request feature on GitHub (#3635)

* chore: apply linting fixes to crewai-tools

* feat: add required env var validation for brightdata

Co-authored-by: Greyson Lalonde <greyson.r.lalonde@gmail.com>

* fix: handle properly anyOf oneOf allOf schema's props

Co-authored-by: Greyson Lalonde <greyson.r.lalonde@gmail.com>

* feat: bump version to 1.0.0a2

* 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.

* feat: add base devtooling

* fix: ensure dep refs are updated for devtools

* fix: allow pre-release

* feat: allow release after tag

* feat: bump versions to 1.0.0a3 

Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>

* fix: match tag and release title, ignore devtools build for pypi

* fix: allow failed pypi publish

* feat: introduce trigger listing and execution commands for local development (#3643)

* chore: exclude tests from ruff linting

* chore: exclude tests from GitHub Actions linter

* fix: replace print statements with logger in agent and memory handling

* chore: add noqa for intentional print in printer utility

* fix: resolve linting errors across codebase

* feat: update docs with new approach to consume Platform Actions (#3675)

* fix: remove duplicate line and add explicit env var

* feat: bump versions to 1.0.0a4 (#3686)

* Update triggers docs (#3678)

* docs: introduce triggers list & triggers run command

* docs: add KO triggers docs

* docs: ensure CREWAI_PLATFORM_INTEGRATION_TOKEN is mentioned on docs (#3687)

* Lorenze/bedrock llm (#3693)

* feat: add AWS Bedrock support and update dependencies

- Introduced BedrockCompletion class for AWS Bedrock integration in LLM.
- Added boto3 as a new dependency in both pyproject.toml and uv.lock.
- Updated LLM class to support Bedrock provider.
- Created new files for Bedrock provider implementation.

* using converse api

* converse

* linted

* refactor: update BedrockCompletion class to improve parameter handling

- Changed max_tokens from a fixed integer to an optional integer.
- Simplified model ID assignment by removing the inference profile mapping method.
- Cleaned up comments and unnecessary code related to tool specifications and model-specific parameters.

* feat: improve event bus thread safety and async support

Add thread-safe, async-compatible event bus with read–write locking and
handler dependency ordering. Remove blinker dependency and implement
direct dispatch. Improve type safety, error handling, and deterministic
event synchronization.

Refactor tests to auto-wait for async handlers, ensure clean teardown,
and add comprehensive concurrency coverage. Replace thread-local state
in AgentEvaluator with instance-based locking for correct cross-thread
access. Enhance tracing reliability and event finalization.

* feat: enhance OpenAICompletion class with additional client parameters (#3701)

* feat: enhance OpenAICompletion class with additional client parameters

- Added support for default_headers, default_query, and client_params in the OpenAICompletion class.
- Refactored client initialization to use a dedicated method for client parameter retrieval.
- Introduced new test cases to validate the correct usage of OpenAICompletion with various parameters.

* fix: correct test case for unsupported OpenAI model

- Updated the test_openai.py to ensure that the LLM instance is created before calling the method, maintaining proper error handling for unsupported models.
- This change ensures that the test accurately checks for the NotFoundError when an invalid model is specified.

* fix: enhance error handling in OpenAICompletion class

- Added specific exception handling for NotFoundError and APIConnectionError in the OpenAICompletion class to provide clearer error messages and improve logging.
- Updated the test case for unsupported models to ensure it raises a ValueError with the appropriate message when a non-existent model is specified.
- This change improves the robustness of the OpenAI API integration and enhances the clarity of error reporting.

* fix: improve test for unsupported OpenAI model handling

- Refactored the test case in test_openai.py to create the LLM instance after mocking the OpenAI client, ensuring proper error handling for unsupported models.
- This change enhances the clarity of the test by accurately checking for ValueError when a non-existent model is specified, aligning with recent improvements in error handling for the OpenAICompletion class.

* feat: bump versions to 1.0.0b1 (#3706)

* Lorenze/tools drop litellm (#3710)

* completely drop litellm and correctly pass config for qdrant

* feat: add support for additional embedding models in EmbeddingService

- Expanded the list of supported embedding models to include Google Vertex, Hugging Face, Jina, Ollama, OpenAI, Roboflow, Watson X, custom embeddings, Sentence Transformers, Text2Vec, OpenClip, and Instructor.
- This enhancement improves the versatility of the EmbeddingService by allowing integration with a wider range of embedding providers.

* fix: update collection parameter handling in CrewAIRagAdapter

- Changed the condition for setting vectors_config in the CrewAIRagAdapter to check for QdrantConfig instance instead of using hasattr. This improves type safety and ensures proper configuration handling for Qdrant integration.

* moved stagehand as optional dep (#3712)

* feat: bump versions to 1.0.0b2 (#3713)

* feat: enhance AnthropicCompletion class with additional client parame… (#3707)

* feat: enhance AnthropicCompletion class with additional client parameters and tool handling

- Added support for client_params in the AnthropicCompletion class to allow for additional client configuration.
- Refactored client initialization to use a dedicated method for retrieving client parameters.
- Implemented a new method to handle tool use conversation flow, ensuring proper execution and response handling.
- Introduced comprehensive test cases to validate the functionality of the AnthropicCompletion class, including tool use scenarios and parameter handling.

* drop print statements

* test: add fixture to mock ANTHROPIC_API_KEY for tests

- Introduced a pytest fixture to automatically mock the ANTHROPIC_API_KEY environment variable for all tests in the test_anthropic.py module.
- This change ensures that tests can run without requiring a real API key, improving test isolation and reliability.

* refactor: streamline streaming message handling in AnthropicCompletion class

- Removed the 'stream' parameter from the API call as it is set internally by the SDK.
- Simplified the handling of tool use events and response construction by extracting token usage from the final message.
- Enhanced the flow for managing tool use conversation, ensuring proper integration with the streaming API response.

* fix streaming here too

* fix: improve error handling in tool conversion for AnthropicCompletion class

- Enhanced exception handling during tool conversion by catching KeyError and ValueError.
- Added logging for conversion errors to aid in debugging and maintain robustness in tool integration.

* feat: enhance GeminiCompletion class with client parameter support (#3717)

* feat: enhance GeminiCompletion class with client parameter support

- Added support for client_params in the GeminiCompletion class to allow for additional client configuration.
- Refactored client initialization into a dedicated method for improved parameter handling.
- Introduced a new method to retrieve client parameters, ensuring compatibility with the base class.
- Enhanced error handling during client initialization to provide clearer messages for missing configuration.
- Updated documentation to reflect the changes in client parameter usage.

* add optional dependancies

* refactor: update test fixture to mock GOOGLE_API_KEY

- Renamed the fixture from `mock_anthropic_api_key` to `mock_google_api_key` to reflect the change in the environment variable being mocked.
- This update ensures that all tests in the module can run with a mocked GOOGLE_API_KEY, improving test isolation and reliability.

* fix tests

* feat: enhance BedrockCompletion class with advanced features

* feat: enhance BedrockCompletion class with advanced features and error handling

- Added support for guardrail configuration, additional model request fields, and custom response field paths in the BedrockCompletion class.
- Improved error handling for AWS exceptions and added token usage tracking with stop reason logging.
- Enhanced streaming response handling with comprehensive event management, including tool use and content block processing.
- Updated documentation to reflect new features and initialization parameters.
- Introduced a new test suite for BedrockCompletion to validate functionality and ensure robust integration with AWS Bedrock APIs.

* chore: add boto typing

* fix: use typing_extensions.Required for Python 3.10 compatibility

---------

Co-authored-by: Greyson Lalonde <greyson.r.lalonde@gmail.com>

* feat: azure native tests

* feat: add Azure AI Inference support and related tests

- Introduced the `azure-ai-inference` package with version `1.0.0b9` and its dependencies in `uv.lock` and `pyproject.toml`.
- Added new test files for Azure LLM functionality, including tests for Azure completion and tool handling.
- Implemented comprehensive test cases to validate Azure-specific behavior and integration with the CrewAI framework.
- Enhanced the testing framework to mock Azure credentials and ensure proper isolation during tests.

* feat: enhance AzureCompletion class with Azure OpenAI support

- Added support for the Azure OpenAI endpoint in the AzureCompletion class, allowing for flexible endpoint configurations.
- Implemented endpoint validation and correction to ensure proper URL formats for Azure OpenAI deployments.
- Enhanced error handling to provide clearer messages for common HTTP errors, including authentication and rate limit issues.
- Updated tests to validate the new endpoint handling and error messaging, ensuring robust integration with Azure AI Inference.
- Refactored parameter preparation to conditionally include the model parameter based on the endpoint type.

* refactor: convert project module to metaclass with full typing

* Lorenze/OpenAI base url backwards support (#3723)

* fix: enhance OpenAICompletion class base URL handling

- Updated the base URL assignment in the OpenAICompletion class to prioritize the new `api_base` attribute and fallback to the environment variable `OPENAI_BASE_URL` if both are not set.
- Added `api_base` to the list of parameters in the OpenAICompletion class to ensure proper configuration and flexibility in API endpoint management.

* feat: enhance OpenAICompletion class with api_base support

- Added the `api_base` parameter to the OpenAICompletion class to allow for flexible API endpoint configuration.
- Updated the `_get_client_params` method to prioritize `base_url` over `api_base`, ensuring correct URL handling.
- Introduced comprehensive tests to validate the behavior of `api_base` and `base_url` in various scenarios, including environment variable fallback.
- Enhanced test coverage for client parameter retrieval, ensuring robust integration with the OpenAI API.

* fix: improve OpenAICompletion class configuration handling

- Added a debug print statement to log the client configuration parameters during initialization for better traceability.
- Updated the base URL assignment logic to ensure it defaults to None if no valid base URL is provided, enhancing robustness in API endpoint configuration.
- Refined the retrieval of the `api_base` environment variable to streamline the configuration process.

* drop print

* feat: improvements on import native sdk support (#3725)

* feat: add support for Anthropic provider and enhance logging

- Introduced the `anthropic` package with version `0.69.0` in `pyproject.toml` and `uv.lock`, allowing for integration with the Anthropic API.
- Updated logging in the LLM class to provide clearer error messages when importing native providers, enhancing debugging capabilities.
- Improved error handling in the AnthropicCompletion class to guide users on installation via the updated error message format.
- Refactored import error handling in other provider classes to maintain consistency in error messaging and installation instructions.

* feat: enhance LLM support with Bedrock provider and update dependencies

- Added support for the `bedrock` provider in the LLM class, allowing integration with AWS Bedrock APIs.
- Updated `uv.lock` to replace `boto3` with `bedrock` in the dependencies, reflecting the new provider structure.
- Introduced `SUPPORTED_NATIVE_PROVIDERS` to include `bedrock` and ensure proper error handling when instantiating native providers.
- Enhanced error handling in the LLM class to raise informative errors when native provider instantiation fails.
- Added tests to validate the behavior of the new Bedrock provider and ensure fallback mechanisms work correctly for unsupported providers.

* test: update native provider fallback tests to expect ImportError

* adjust the test with the expected bevaior - raising ImportError

* this is exoecting the litellm format, all gemini native tests are in test_google.py

---------

Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>

* fix: remove stdout prints, improve test determinism, and update trace handling

Removed `print` statements from the `LLMStreamChunkEvent` handler to prevent
LLM response chunks from being written directly to stdout. The listener now
only tracks chunks internally.

Fixes #3715

Added explicit return statements for trace-related tests.

Updated cassette for `test_failed_evaluation` to reflect new behavior where
an empty trace dict is used instead of returning early.

Ensured deterministic cleanup order in test fixtures by making
`clear_event_bus_handlers` depend on `setup_test_environment`. This guarantees
event bus shutdown and file handle cleanup occur before temporary directory
deletion, resolving intermittent “Directory not empty” errors in CI.

* chore: remove lib/crewai exclusion from pre-commit hooks

* feat: enhance task guardrail functionality and validation

* feat: enhance task guardrail functionality and validation

- Introduced support for multiple guardrails in the Task class, allowing for sequential processing of guardrails.
- Added a new `guardrails` field to the Task model to accept a list of callable guardrails or string descriptions.
- Implemented validation to ensure guardrails are processed correctly, including handling of retries and error messages.
- Enhanced the `_invoke_guardrail_function` method to manage guardrail execution and integrate with existing task output processing.
- Updated tests to cover various scenarios involving multiple guardrails, including success, failure, and retry mechanisms.

This update improves the flexibility and robustness of task execution by allowing for more complex validation scenarios.

* refactor: enhance guardrail type handling in Task model

- Updated the Task class to improve guardrail type definitions, introducing GuardrailType and GuardrailsType for better clarity and type safety.
- Simplified the validation logic for guardrails, ensuring that both single and multiple guardrails are processed correctly.
- Enhanced error messages for guardrail validation to provide clearer feedback when incorrect types are provided.
- This refactor improves the maintainability and robustness of task execution by standardizing guardrail handling.

* feat: implement per-guardrail retry tracking in Task model

- Introduced a new private attribute `_guardrail_retry_counts` to the Task class for tracking retry attempts on a per-guardrail basis.
- Updated the guardrail processing logic to utilize the new retry tracking, allowing for independent retry counts for each guardrail.
- Enhanced error handling to provide clearer feedback when guardrails fail validation after exceeding retry limits.
- Modified existing tests to validate the new retry tracking behavior, ensuring accurate assertions on guardrail retries.

This update improves the robustness and flexibility of task execution by allowing for more granular control over guardrail validation and retry mechanisms.

* chore: 1.0.0b3 bump (#3734)

* chore: full ruff and mypy

improved linting, pre-commit setup, and internal architecture. Configured Ruff to respect .gitignore, added stricter rules, and introduced a lock pre-commit hook with virtualenv activation. Fixed type shadowing in EXASearchTool using a type_ alias to avoid PEP 563 conflicts and resolved circular imports in agent executor and guardrail modules. Removed agent-ops attributes, deprecated watson alias, and dropped crewai-enterprise tools with corresponding test updates. Refactored cache and memoization for thread safety and cleaned up structured output adapters and related logic.

* New MCL DSL (#3738)

* Adding MCP implementation

* New tests for MCP implementation

* fix tests

* update docs

* Revert "New tests for MCP implementation"

This reverts commit 0bbe6dee90.

* linter

* linter

* fix

* verify mcp pacakge exists

* adjust docs to be clear only remote servers are supported

* reverted

* ensure args schema generated properly

* properly close out

---------

Co-authored-by: lorenzejay <lorenzejaytech@gmail.com>
Co-authored-by: Greyson Lalonde <greyson.r.lalonde@gmail.com>

* feat: a2a experimental

experimental a2a support

---------

Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
Co-authored-by: Tony Kipkemboi <iamtonykipkemboi@gmail.com>
Co-authored-by: Mike Plachta <mplachta@users.noreply.github.com>
Co-authored-by: João Moura <joaomdmoura@gmail.com>
2025-10-20 14:10:19 -07:00

727 lines
38 KiB
YAML
Raw Blame History

interactions:
- request:
body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
are an expert at gathering and organizing information. You carefully collect
details and present them in a structured way.\nYour personal goal is: Gather
information about the best soccer players\n\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": "Top 10 best players
in the world?"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '694'
content-type:
- application/json
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.78.0
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.78.0
x-stainless-raw-response:
- 'true'
x-stainless-read-timeout:
- '600.0'
x-stainless-retry-count:
- '0'
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.12.9
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
body:
string: !!binary |
H4sIAAAAAAAAA5yXzVIbORDH7zxF11xiqLHLNp/xDUhMssEJm49N1S4pqq1pz/SikYaWxo6Tynmf
ZQ/7AnvNPtiWZIMNGAK5UHhaLfVPrW799XUNIOEs6UGiCvSqrHTzIK9HH/yzi6Mv44uT3z93X5fn
Fxefs49bR3vya5IGDzv8k5S/9GopW1aaPFszMysh9BRm7exuPd3e2d1s70VDaTPSwS2vfHPLNks2
3Oy2u1vN9m6zszf3LiwrckkP/lgDAPga/4Y4TUafkx6008svJTmHOSW9q0EAiVgdviToHDuPxifp
wqis8WRi6O8LW+eF78FLMHYCCg3kPCZAyEP8gMZNSABOTZ8NatiPv3vwviDwtoJOG4bkPDirFAlU
GqckDtiALwgmVnSWAjqwI3ijvB2SQLfd3UzjSkMCzsh4HjFlMERHGdjoyQJCioyHimRkpUSjyKXg
zllrlwKXFSofBudYBgOaDOyYBLWGgCc8rEMuHHg7n9ATlq4FL0gI2MX4nJda+VooA83O907Nqem0
YGPjmK0hDQNyjqHx0ngSGDCWDIf99Y2NUwMATTixjsMiPehbmaBk8++vaAr7fhYDuR48Ex4ONZs8
hTE7tiaF3KJuOmWFTQ44ZM1+2pq776uCaUwlGe96MKi150oTHKDW1kD25I3AhI0hSeHQVgj7JQkr
BFVgWcXZP4Z9h8O6uvoGjW67211vBcJuIHw11YwGBkOsqu9/Q+MEhR28Qza+eURSIpvHg76riLIU
PKnC8EVNKYzYsCvY5Kvh+i/7+3dE29lbT+GY85qgA569DmkuLzcjsyU5zwpUXblItRmonkvYZniB
qMOJaAzQqIJcSN8h++njiU7sJOyzm4Fdyxob59kov5rsoDYZOc05xjoJTmGiD8/7+3A4x3RwTBgA
Z+mMOdpcT+FEqGSSS+sMPkJuxdTRmA08IziQemroQZQDzkZMOiO5CzR0iuUTGvsXj398LldGm0Lg
rCv3IOTIth3ZULiEAzJfqERo7OvmS++5wOzxqTtaSlYaO1OJ5/F/j8qzQg1sPGnNORlFqylD1ays
vKuTeJPMwYR9AW8JNQwwE84i3U6ge03TEgV+kVZAgxesUT8erK+RJYVs0VUenKurstHXk3UrPVIH
zGZdxeB3Q/BvQ/f2cEwTNJmduHOGRv8QDlAUaWvwJ0Aum0MK1dwl/kASRn1/W4yd4yBcPQMyTxyc
xJtnKS/LBTinPMbQUPB6U5yfvr2AOLAFlpTBO9RYQOOYxySVtfqnO+FoQXiVrtU8N6po0ctndXR/
GUWCp4HgNzbf/1FcO/jl+7+GrUBj6ST+NMcjztoPy727fn8mOu14A9fnCAObCf/310qG+9rbQ/rb
PU3g7vq5xXV5tG63iPkdFpHeF+yiwgjCIwhF1rcFj6pFguIJcieFCt1N8RNutDu0jZCrSPmg3KLM
CQJsaH2xKPjgHEjFYPBFHeMgHzfQteb1A4Im9EgX9dkYZbqIsiJx0dFWbELOwpRhWR6Fe1jYh7KF
OgwfWQEao67jYikMax8idXSlEAscU6AJ8pSM11MYEhkQylEyyoJmdLakIByDUosic1lVrhCVrWWN
KzSqHQadbWqtlwxojPUxrKiuP80t3670tLZ5JXbobrgms1o+E0JnTdDOztsqidZvawCfom6vr0nx
pBJbVv7M23OKy3W63dl8yeK5sLDubG3Ord561AvD7s52umLCs4w8snZL0j9RqArKFq6LdwLWGdsl
w9oS9u1wVs09Q2eTP2T6hUEpqjxlZ5VQxuo68mKYUHhO3TXsaptjwIkjGbOiM88kIRUZjbDWs0dO
4qbOU3k2YpOTVMKzl86oOtvcwu0tpKebKln7tvY/AAAA//8DAJ67Vp33DQAA
headers:
CF-RAY:
- 94d9b5400dcd624b-GRU
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Tue, 10 Jun 2025 14:55:42 GMT
Server:
- cloudflare
Set-Cookie:
- __cf_bm=8Yv8F0ZCFAo2lf.qoqxao70yxyjVvIV90zQqVF6bVzQ-1749567342-1.0.1.1-fZgnv3RDfunvCO1koxwwFJrHnxSx_rwS_FHvQ6xxDPpKHwYr7dTqIQLZrNgSX5twGyK4F22rUmkuiS6KMVogcinChk8lmHtJBTUVTFjr2KU;
path=/; expires=Tue, 10-Jun-25 15:25:42 GMT; domain=.api.openai.com; HttpOnly;
Secure; SameSite=None
- _cfuvid=wzh8YnmXvLq1G0RcIVijtzboQtCZyIe2uZiochkBLqE-1749567342267-0.0.1.1-604800000;
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:
- '33288'
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
x-envoy-upstream-service-time:
- '33292'
x-ratelimit-limit-requests:
- '30000'
x-ratelimit-limit-tokens:
- '150000000'
x-ratelimit-remaining-requests:
- '29999'
x-ratelimit-remaining-tokens:
- '149999859'
x-ratelimit-reset-requests:
- 2ms
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_6a587ea22edef774ecdada790a320cab
status:
code: 200
message: OK
- request:
body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
are an expert at gathering and organizing information. You carefully collect
details and present them in a structured way.\nYour personal goal is: Gather
information about the best soccer players\n\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": "Top 10 best players
in the world?"}, {"role": "assistant", "content": "Thought: I now can give a
great answer \nFinal Answer: The top 10 best soccer players in the world, as
of October 2023, can be identified based on their recent performances, skills,
impact on games, and overall contributions to their teams. Here is the structured
list:\n\n1. **Lionel Messi (Inter Miami CF)**\n - Position: Forward\n -
Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements:
Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
**Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key
Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup
champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
(Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed,
goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions
League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n -
Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n -
Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements:
2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
**Neymar Jr. (Al Hilal)**\n - Position: Forward\n - Key Attributes: Flair,
dribbling, creativity.\n - Achievements: Multiple domestic league titles,
Champions League runner-up.\n\n7. **Robert Lewandowski (FC Barcelona)**\n -
Position: Forward\n - Key Attributes: Finishing, positioning, aerial ability.\n -
Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion
(2023).\n\n8. **Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key
Attributes: Speed, finishing, dribbling.\n - Achievements: Premier League
champion, FA Cup, UEFA Champions League winner.\n\n9. **Vin\u00edcius J\u00fanior
(Real Madrid)**\n - Position: Forward\n - Key Attributes: Speed, dribbling,
creativity.\n - Achievements: UEFA Champions League winner (2022), La Liga
champion (2023).\n\n10. **Luka Modri\u0107 (Real Madrid)**\n - Position:
Midfielder\n - Key Attributes: Passing, vision, tactical intelligence.\n -
Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\nThis
list is compiled based on their current form, past performances, and contributions
to their respective teams in both domestic and international competitions. Player
rankings can vary based on personal opinion and specific criteria used for evaluation,
but these players have consistently been regarded as some of the best in the
world as of October 2023."}, {"role": "user", "content": "You are not allowed
to include Brazilian players"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '3594'
content-type:
- application/json
cookie:
- __cf_bm=8Yv8F0ZCFAo2lf.qoqxao70yxyjVvIV90zQqVF6bVzQ-1749567342-1.0.1.1-fZgnv3RDfunvCO1koxwwFJrHnxSx_rwS_FHvQ6xxDPpKHwYr7dTqIQLZrNgSX5twGyK4F22rUmkuiS6KMVogcinChk8lmHtJBTUVTFjr2KU;
_cfuvid=wzh8YnmXvLq1G0RcIVijtzboQtCZyIe2uZiochkBLqE-1749567342267-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.78.0
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.78.0
x-stainless-raw-response:
- 'true'
x-stainless-read-timeout:
- '600.0'
x-stainless-retry-count:
- '0'
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.12.9
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
body:
string: !!binary |
H4sIAAAAAAAAAwAAAP//nJfNctpIEMfvfoouXYJdwgXYjm1u4JjEsam4kuzuYZ1yNaNG6njUo50Z
QUgq5zzLHvYF9pp9sK0ZwOAEx3EuFKjVTf+mP/TXpy2AhLOkC4kq0Kuy0s1+Xucvb06e+X7ndDzp
DflscN6yRBfng75O0uBhRu9J+aXXrjJlpcmzkblZWUJPIWr7cP/44Onh3sFxNJQmIx3c8so3902z
ZOFmp9XZb7YOm+2jhXdhWJFLuvDnFgDAp/gZ8pSMPiRdaKXLKyU5hzkl3dubABJrdLiSoHPsPIpP
0pVRGfEkMfW3hanzwnfhDMRMQaFAzhMChDzkDyhuShbgSgYsqKEXf3fhBVkCdoACdZUFUNDsPJgx
+ILAmwraLRiR8+CMUmSh0jgj64Al3jE1VmeALni8Ut6MyEKn1dlLgT4oXWcsOfQtfmTNKEvn7pVc
SXsXdnYu2AhpGJJzDI0z8WRhyFgynAy2d3auBACacGkch4p0YWDsFG22uH5OM+h5b3lUe3JdeGZ5
NNIseQoTdmwkhdygbjplbEgER6zZz3YX7j1VME2oJPGuC8Nae640QR+1NgLZk1cWpixCNoUTUyH0
SrKsEFSBZRWj/xHpT+rq9ho0Oq1OZ3s3EHYC4fkskg9HWFVf/4bGJVp28AZZfPM52RJZHg/6piLK
UvCkCuG/akphzMKuYMk3ww3OBr17sm0fbadwwXlN0AbPXpNLoVweRmZKcp4VqLpykWovUJ3acMzw
AlGjZNAYoqiCXCjfCfvZ44kuzTScs5uD3akai/Msym8m69eSkdOcY+zW4BQC/XY66MHJAtPBBWEA
nJcz1mhvO4VLSyWTXVrn8BFyP5aOJizwjKBv65nQT1EOORsz6YzsfaBhlNc7NC4YnjzclxuzTSFw
1pX7KeTIdhDZ0HIJfZKPVCI0erp55j0XmD2+dM/XipXGES/xJn73qDwr1MDiSWvOSRRtpgxTs3Hy
bjvxWzIHU/YFvCbUMMTMchbpnga612EPebigKUpmpu6GoTE4gT5aRdoIPh5ysJyvFKqFS/yBZBn1
jzdLHL5+2KFDkicOLuMWXENb7+FFVS8wzCTe3SuLAh4GxKEpsKQM3qDGAhoXPCFbGaN/eZmMV4TZ
co9u5vmmEVfrcN6KP+7ESHAUCH5n+fqP4trBy6//ChsLjbVi/jJHtnoIPDRaD05MZ/vHlTiOz7D6
BmFoMsv/fXkQ4fH74RFDNLxvVm7b6vsJWzwCIk67FXheoLUzOMew8fqhUwWGtbAqljz31uTB5bD2
wFrtid2l712Y50ZnJNA3xt8ug3tWYKzjaW1NRSgr+IIrsHXwbNZVBHxbsJsLnAIdjIgEMHtfu6B7
vFlIFvpesEB4yI2Nqh05MEH5GEcwLQwUOCEoMSNwnAuPWaF44LJC5ZciiS0oXY/mUcxcN4ViWsFw
hqjBecxpg4rahVNUxSKLoNMsKZMLf6SQjl0Epw+KqmWkG9bapVCRHRtboqhwQOGPce10d9dlpKVx
7TBIWam1XjOgiPExxShg3y0sn28lqzZ5Zc3IfeOazFfJtSV0RoI8dd5USbR+3gJ4F6VxfUftJpU1
ZeWvvbmh+HeHR+15vGSlyFfWp+2FcE688ahXhvbe8dLvTsTrjDyydmvyOlGoCspWvistjnXGZs2w
tcb9fT6bYs/ZWfKfCb8yqFBJyq4rSxmru8yr2yyFV5b7brs955hw4shOWNG1Z7KhFhmNsdbzF4nE
zZyn8nrMkpOtLM/fJsbV9d4+HuwjHe+pZOvz1v8AAAD//wMAVoKTVVsNAAA=
headers:
CF-RAY:
- 94d9b6782db84d3b-GRU
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Tue, 10 Jun 2025 14:56:30 GMT
Server:
- cloudflare
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:
- '31484'
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
x-envoy-upstream-service-time:
- '31490'
x-ratelimit-limit-requests:
- '30000'
x-ratelimit-limit-tokens:
- '150000000'
x-ratelimit-remaining-requests:
- '29999'
x-ratelimit-remaining-tokens:
- '149999166'
x-ratelimit-reset-requests:
- 2ms
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_aa737cf40bb76af9f458bfd35f7a77a1
status:
code: 200
message: OK
- request:
body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
are an expert at gathering and organizing information. You carefully collect
details and present them in a structured way.\nYour personal goal is: Gather
information about the best soccer players\n\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": "Top 10 best players
in the world?"}, {"role": "assistant", "content": "Thought: I now can give a
great answer \nFinal Answer: The top 10 best soccer players in the world, as
of October 2023, can be identified based on their recent performances, skills,
impact on games, and overall contributions to their teams. Here is the structured
list:\n\n1. **Lionel Messi (Inter Miami CF)**\n - Position: Forward\n -
Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements:
Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
**Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key
Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup
champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
(Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed,
goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions
League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n -
Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n -
Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements:
2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
**Neymar Jr. (Al Hilal)**\n - Position: Forward\n - Key Attributes: Flair,
dribbling, creativity.\n - Achievements: Multiple domestic league titles,
Champions League runner-up.\n\n7. **Robert Lewandowski (FC Barcelona)**\n -
Position: Forward\n - Key Attributes: Finishing, positioning, aerial ability.\n -
Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion
(2023).\n\n8. **Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key
Attributes: Speed, finishing, dribbling.\n - Achievements: Premier League
champion, FA Cup, UEFA Champions League winner.\n\n9. **Vin\u00edcius J\u00fanior
(Real Madrid)**\n - Position: Forward\n - Key Attributes: Speed, dribbling,
creativity.\n - Achievements: UEFA Champions League winner (2022), La Liga
champion (2023).\n\n10. **Luka Modri\u0107 (Real Madrid)**\n - Position:
Midfielder\n - Key Attributes: Passing, vision, tactical intelligence.\n -
Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\nThis
list is compiled based on their current form, past performances, and contributions
to their respective teams in both domestic and international competitions. Player
rankings can vary based on personal opinion and specific criteria used for evaluation,
but these players have consistently been regarded as some of the best in the
world as of October 2023."}, {"role": "user", "content": "You are not allowed
to include Brazilian players"}, {"role": "assistant", "content": "Thought: I
now can give a great answer \nFinal Answer: Here is an updated list of the
top 10 best soccer players in the world as of October 2023, excluding Brazilian
players:\n\n1. **Lionel Messi (Inter Miami CF)**\n - Position: Forward\n -
Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements:
Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
**Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key
Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup
champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
(Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed,
goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions
League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n -
Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n -
Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements:
2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
**Robert Lewandowski (FC Barcelona)**\n - Position: Forward\n - Key Attributes:
Finishing, positioning, aerial ability.\n - Achievements: FIFA Best Men''s
Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7. **Mohamed
Salah (Liverpool)**\n - Position: Forward\n - Key Attributes: Speed, finishing,
dribbling.\n - Achievements: Premier League champion, FA Cup, UEFA Champions
League winner.\n\n8. **Vin\u00edcius J\u00fanior (Real Madrid)**\n - Position:
Forward\n - Key Attributes: Speed, dribbling, creativity.\n - Achievements:
UEFA Champions League winner (2022), La Liga champion (2023).\n\n9. **Luka Modri\u0107
(Real Madrid)**\n - Position: Midfielder\n - Key Attributes: Passing, vision,
tactical intelligence.\n - Achievements: Multiple Champions League titles,
Ballon d''Or winner (2018).\n\n10. **Harry Kane (Bayern Munich)**\n - Position:
Forward\n - Key Attributes: Goal-scoring, technique, playmaking.\n - Achievements:
Golden Boot winner, Premier League titles, UEFA European Championship runner-up.\n\nThis
list has been adjusted to exclude Brazilian players and focuses on those who
have made significant impacts in their clubs and on the international stage
as of October 2023. Each player is recognized for their exceptional skills,
performances, and achievements."}, {"role": "user", "content": "You are not
allowed to include Brazilian players"}], "model": "gpt-4o-mini", "stop": ["\nObservation:"]}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '6337'
content-type:
- application/json
cookie:
- __cf_bm=8Yv8F0ZCFAo2lf.qoqxao70yxyjVvIV90zQqVF6bVzQ-1749567342-1.0.1.1-fZgnv3RDfunvCO1koxwwFJrHnxSx_rwS_FHvQ6xxDPpKHwYr7dTqIQLZrNgSX5twGyK4F22rUmkuiS6KMVogcinChk8lmHtJBTUVTFjr2KU;
_cfuvid=wzh8YnmXvLq1G0RcIVijtzboQtCZyIe2uZiochkBLqE-1749567342267-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.78.0
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.78.0
x-stainless-raw-response:
- 'true'
x-stainless-read-timeout:
- '600.0'
x-stainless-retry-count:
- '0'
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.12.9
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
body:
string: !!binary |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headers:
CF-RAY:
- 94d9b7561f204d3b-GRU
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Tue, 10 Jun 2025 14:56:46 GMT
Server:
- cloudflare
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:
- '12189'
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
x-envoy-upstream-service-time:
- '12193'
x-ratelimit-limit-requests:
- '30000'
x-ratelimit-limit-tokens:
- '150000000'
x-ratelimit-remaining-requests:
- '29999'
x-ratelimit-remaining-tokens:
- '149998513'
x-ratelimit-reset-requests:
- 2ms
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_1098f5a5384f4a26aecf0c9e4e4d1fc0
status:
code: 200
message: OK
- request:
body: '{"messages": [{"role": "system", "content": "You are Sports Analyst. You
are an expert at gathering and organizing information. You carefully collect
details and present them in a structured way.\nYour personal goal is: Gather
information about the best soccer players\n\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": "Top 10 best players
in the world?"}, {"role": "assistant", "content": "Thought: I now can give a
great answer \nFinal Answer: The top 10 best soccer players in the world, as
of October 2023, can be identified based on their recent performances, skills,
impact on games, and overall contributions to their teams. Here is the structured
list:\n\n1. **Lionel Messi (Inter Miami CF)**\n - Position: Forward\n -
Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements:
Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
**Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key
Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup
champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
(Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed,
goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions
League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n -
Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n -
Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements:
2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
**Neymar Jr. (Al Hilal)**\n - Position: Forward\n - Key Attributes: Flair,
dribbling, creativity.\n - Achievements: Multiple domestic league titles,
Champions League runner-up.\n\n7. **Robert Lewandowski (FC Barcelona)**\n -
Position: Forward\n - Key Attributes: Finishing, positioning, aerial ability.\n -
Achievements: FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion
(2023).\n\n8. **Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key
Attributes: Speed, finishing, dribbling.\n - Achievements: Premier League
champion, FA Cup, UEFA Champions League winner.\n\n9. **Vin\u00edcius J\u00fanior
(Real Madrid)**\n - Position: Forward\n - Key Attributes: Speed, dribbling,
creativity.\n - Achievements: UEFA Champions League winner (2022), La Liga
champion (2023).\n\n10. **Luka Modri\u0107 (Real Madrid)**\n - Position:
Midfielder\n - Key Attributes: Passing, vision, tactical intelligence.\n -
Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\nThis
list is compiled based on their current form, past performances, and contributions
to their respective teams in both domestic and international competitions. Player
rankings can vary based on personal opinion and specific criteria used for evaluation,
but these players have consistently been regarded as some of the best in the
world as of October 2023."}, {"role": "user", "content": "You are not allowed
to include Brazilian players"}, {"role": "assistant", "content": "Thought: I
now can give a great answer \nFinal Answer: Here is an updated list of the
top 10 best soccer players in the world as of October 2023, excluding Brazilian
players:\n\n1. **Lionel Messi (Inter Miami CF)**\n - Position: Forward\n -
Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements:
Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
**Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key
Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup
champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
(Manchester City)**\n - Position: Forward\n - Key Attributes: Power, speed,
goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA Champions
League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
City)**\n - Position: Midfielder\n - Key Attributes: Passing, vision, creativity.\n -
Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n - Position: Forward\n -
Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n - Achievements:
2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
**Robert Lewandowski (FC Barcelona)**\n - Position: Forward\n - Key Attributes:
Finishing, positioning, aerial ability.\n - Achievements: FIFA Best Men''s
Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7. **Mohamed
Salah (Liverpool)**\n - Position: Forward\n - Key Attributes: Speed, finishing,
dribbling.\n - Achievements: Premier League champion, FA Cup, UEFA Champions
League winner.\n\n8. **Vin\u00edcius J\u00fanior (Real Madrid)**\n - Position:
Forward\n - Key Attributes: Speed, dribbling, creativity.\n - Achievements:
UEFA Champions League winner (2022), La Liga champion (2023).\n\n9. **Luka Modri\u0107
(Real Madrid)**\n - Position: Midfielder\n - Key Attributes: Passing, vision,
tactical intelligence.\n - Achievements: Multiple Champions League titles,
Ballon d''Or winner (2018).\n\n10. **Harry Kane (Bayern Munich)**\n - Position:
Forward\n - Key Attributes: Goal-scoring, technique, playmaking.\n - Achievements:
Golden Boot winner, Premier League titles, UEFA European Championship runner-up.\n\nThis
list has been adjusted to exclude Brazilian players and focuses on those who
have made significant impacts in their clubs and on the international stage
as of October 2023. Each player is recognized for their exceptional skills,
performances, and achievements."}, {"role": "user", "content": "You are not
allowed to include Brazilian players"}, {"role": "assistant", "content": "Thought:
I now can give a great answer \nFinal Answer: Here is the revised list of the
top 10 best soccer players in the world as of October 2023, explicitly excluding
Brazilian players:\n\n1. **Lionel Messi (Inter Miami CF)**\n - Position: Forward\n -
Key Attributes: Dribbling, vision, goal-scoring ability.\n - Achievements:
Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
**Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n - Position: Forward\n - Key
Attributes: Speed, technique, finishing.\n - Achievements: FIFA World Cup
champion (2018), multiple Ligue 1 titles, and various domestic cups.\n\n3. **Erling
Haaland (Manchester City)**\n - Position: Forward\n - Key Attributes: Power,
speed, goal-scoring instinct.\n - Achievements: Bundesliga top scorer, UEFA
Champions League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne
(Manchester City)**\n - Position: Midfielder\n - Key Attributes: Passing,
vision, creativity.\n - Achievements: Multiple Premier League titles, FA Cups,
UEFA Champions League winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n -
Position: Forward\n - Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n -
Achievements: 2022 Ballon d''Or winner, multiple Champions Leagues with Real
Madrid.\n\n6. **Robert Lewandowski (FC Barcelona)**\n - Position: Forward\n -
Key Attributes: Finishing, positioning, aerial ability.\n - Achievements:
FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7.
**Mohamed Salah (Liverpool)**\n - Position: Forward\n - Key Attributes:
Speed, finishing, dribbling.\n - Achievements: Premier League champion, FA
Cup, UEFA Champions League winner.\n\n8. **Luka Modri\u0107 (Real Madrid)**\n -
Position: Midfielder\n - Key Attributes: Passing, vision, tactical intelligence.\n -
Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\n9.
**Harry Kane (Bayern Munich)**\n - Position: Forward\n - Key Attributes:
Goal-scoring, technique, playmaking.\n - Achievements: Golden Boot winner,
Premier League titles, UEFA European Championship runner-up.\n\n10. **Rodri
(Manchester City)**\n - Position: Midfielder\n - Key Attributes: Defensive
skills, passing, positional awareness.\n - Achievements: Premier League titles,
UEFA Champions League winner (2023).\n\nThis list is curated while adhering
to the restriction of excluding Brazilian players. Each player included has
demonstrated exceptional skills and remarkable performances, solidifying their
status as some of the best in the world as of October 2023."}, {"role": "user",
"content": "You are not allowed to include Brazilian players"}], "model": "gpt-4o-mini",
"stop": ["\nObservation:"]}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '9093'
content-type:
- application/json
cookie:
- __cf_bm=8Yv8F0ZCFAo2lf.qoqxao70yxyjVvIV90zQqVF6bVzQ-1749567342-1.0.1.1-fZgnv3RDfunvCO1koxwwFJrHnxSx_rwS_FHvQ6xxDPpKHwYr7dTqIQLZrNgSX5twGyK4F22rUmkuiS6KMVogcinChk8lmHtJBTUVTFjr2KU;
_cfuvid=wzh8YnmXvLq1G0RcIVijtzboQtCZyIe2uZiochkBLqE-1749567342267-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.78.0
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.78.0
x-stainless-raw-response:
- 'true'
x-stainless-read-timeout:
- '600.0'
x-stainless-retry-count:
- '0'
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.12.9
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
body:
string: !!binary |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headers:
CF-RAY:
- 94d9b7d24d991d2c-GRU
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Tue, 10 Jun 2025 14:57:29 GMT
Server:
- cloudflare
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:
- '35291'
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
x-envoy-upstream-service-time:
- '35294'
x-ratelimit-limit-requests:
- '30000'
x-ratelimit-limit-tokens:
- '150000000'
x-ratelimit-remaining-requests:
- '29999'
x-ratelimit-remaining-tokens:
- '149997855'
x-ratelimit-reset-requests:
- 2ms
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_4676152d4227ac1825d1240ddef231d6
status:
code: 200
message: OK
version: 1
Reference in New Issue View Git Blame Copy Permalink