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Enhance tool normalization and API integration across modules

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- Introduced normalization functions for tool statistics and error counts to ensure consistent schema across all trajectory entries, facilitating compatibility with HuggingFace datasets.
- Updated batch processing to utilize normalized tool stats and error counts, improving data integrity.
- Refactored vision tools and mixture of agents tool to integrate with OpenRouter API, replacing Nous Research API references and updating model configurations.
- Enabled reasoning capabilities in API calls for enhanced response quality across various tools.
- Improved error handling and API key validation for OpenRouter integration.
This commit is contained in:
teknium 2026-01-14 13:40:10 +00:00
parent 66daebe88f
commit 13d360030f
6 changed files with 172 additions and 61 deletions
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model_tools.py
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@ -513,7 +513,7 @@ def handle_vision_function_call(function_name: str, function_args: Dict[str, Any
full_prompt = f"Fully describe and explain everything about this image, then answer the following question:\n\n{question}"
# Run async function in event loop
return asyncio.run(vision_analyze_tool(image_url, full_prompt, "gemini-2.5-flash"))
return asyncio.run(vision_analyze_tool(image_url, full_prompt, "google/gemini-3-flash-preview"))
else:
return json.dumps({"error": f"Unknown vision function: {function_name}"}, ensure_ascii=False)