feat: api client

[rushilpatel0]

Motivation

Content

Testing

Please check the following before marking your PR as ready for review

• I have added tests for my changes
• I have updated the documentation or added new documentation as needed

[codecov]

Codecov Report

Attention: Patch coverage is 46.85387% with 1022 lines in your changes missing coverage. Please review.

✅ All tests successful. No failed tests found.

Files with missing lines	Patch %	Lines
...gen/agents/client/openapi_client/api/agents_api.py	20.91%	208 Missing ⚠️
...egen/agents/client/openapi_client/api/users_api.py	20.86%	201 Missing ⚠️
...codegen/agents/client/openapi_client/api_client.py	64.11%	117 Missing ⚠️
...nts/client/openapi_client/api/organizations_api.py	23.84%	99 Missing ⚠️
src/codegen/agents/client/openapi_client/rest.py	18.55%	79 Missing ⚠️
...egen/agents/client/openapi_client/configuration.py	70.42%	63 Missing ⚠️
...codegen/agents/client/openapi_client/exceptions.py	45.00%	55 Missing ⚠️
...penapi_client/models/validation_error_loc_inner.py	33.75%	53 Missing ⚠️
...client/openapi_client/models/agent_run_response.py	58.13%	18 Missing ⚠️
...ent/openapi_client/models/http_validation_error.py	53.84%	18 Missing ⚠️
... and 8 more

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[kopekC]

@codegen please review this pr

Hey! 👋 Taking a look.
💻 View my work.

[codegen-sh]

I've reviewed this PR which adds a Python API client for interacting with the Codegen AI agents API. Here's my assessment:

Overall Impression

This is a well-structured implementation of an API client that provides a clean interface for interacting with Codegen agents. The code follows good practices with proper typing, error handling, and documentation.

Key Components

1. Agent Class: The main entry point for interacting with the API
2. AgentTask Class: Represents a running or completed agent task
3. OpenAPI Client: Auto-generated client code from the API schema
4. README: Comprehensive documentation with usage examples

Strengths

• Well-documented with clear examples in the README
• Strong typing throughout the codebase
• Clean separation of concerns between the Agent class and the underlying API client
• Good error handling patterns
• Proper environment variable fallbacks for configuration

Suggestions for Improvement

1. Tests: Consider adding unit tests for the Agent and AgentTask classes
2. Error Handling: The current implementation catches exceptions at a high level, but more specific error handling for different API error conditions would be beneficial
3. Async Support: Consider adding async versions of the API methods for non-blocking operations
4. Logging: Adding structured logging would help with debugging and monitoring
5. Retry Logic: For network operations, implementing retry logic with exponential backoff would improve reliability

Documentation

The README is comprehensive and includes good examples. Consider adding:

• More examples for error handling scenarios
• Information about rate limits or quotas
• Troubleshooting section for common issues

Overall, this is a solid implementation that provides a clean and intuitive interface for working with the Codegen AI agents API. The code is well-structured and follows good Python practices.

[codegen-sh]

Summary of Review

I've completed a detailed review of this PR and left specific comments on various files. Overall, this is a well-implemented API client for interacting with Codegen AI agents.

Key Strengths

• Clean, well-structured code with good separation of concerns
• Comprehensive documentation with clear examples
• Strong typing throughout the codebase
• Good error handling patterns

Main Recommendations

1. Add Tests: Unit and integration tests would significantly improve reliability
2. Enhance Error Handling: More specific error handling for different API error conditions
3. Add Helper Methods: Methods like is_complete() and wait_for_completion() would improve usability
4. Expand Documentation: Add sections on error handling, troubleshooting, and more complex examples

This PR is a solid foundation for the API client. The suggestions above are enhancements that could be implemented in this PR or as follow-up work, depending on your team's priorities.

[github-actions]

🎉 This PR is included in version 0.54.0 🎉

The release is available on GitHub release

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