feat(openai): add Response API support

[hassiebp]

Important

Add support for OpenAI's Response API, including new schemas, environment filtering, and updated OpenAI integration for handling new inputs/outputs and streaming responses.

• Behavior:
  • Added support for OpenAI's Response API in langfuse-python.
  • New schemas OpenAiCompletionUsageSchema and OpenAiResponseUsageSchema in types for handling different API response types.
  • Added environment filtering in client.py files for metrics, observations, scores, sessions, and traces.
  • New deletion endpoints for dataset items, runs, and traces in delete_*_response.py files.
  • Updated OpenAI integration in openai.py to handle Response API inputs/outputs and streaming responses.
• Models:
  • Added resolution_graph field to prompt types in base_prompt.py and prompt.py for dependency resolution.
• Misc:
  • Updated tests in test_openai.py to cover new Response API functionalities.

^{This description was created by for a369476. It will automatically update as commits are pushed.}

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Greptile Summary

Disclaimer: Experimental PR review

This PR adds comprehensive support for OpenAI's Response API to the langfuse-python library, including new schema classes, environment filtering, and deletion endpoints.

• Added new OpenAI usage schemas OpenAiCompletionUsageSchema and OpenAiResponseUsageSchema in /langfuse/api/resources/ingestion/types/ to better handle different API response types
• Added environment filtering support across multiple clients (metrics, observations, scores, sessions, traces) in /langfuse/api/resources/*/client.py files
• Added new deletion endpoints with response types for dataset items, runs and traces in /langfuse/api/resources/*/types/delete_*_response.py
• Added resolution_graph field to prompt types in /langfuse/api/resources/prompts/types/ for dependency resolution
• Updated OpenAI integration in /langfuse/openai.py to handle Response API inputs/outputs and streaming responses

[greptile-apps]

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