intermediate fix chain tool response to AI
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@@ -104,7 +104,7 @@ class AnthropicProvider(BaseLLMProvider):
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if callable(response.json):
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# If json is a method, call it
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try:
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logger.info(f"Anthropic response json: {json.dumps(response.json())}")
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logger.info(f"Anthropic response json: {json.dumps(response.model_dump_json())}")
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except Exception as json_err:
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logger.warning(f"Could not serialize response.json(): {str(json_err)}")
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else:
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@@ -274,6 +274,7 @@ class AnthropicProvider(BaseLLMProvider):
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tool_results: dict[str, Any] = None,
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original_response: Any = None,
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stream: bool = True,
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tools: list[dict[str, Any]] | None = None,
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) -> Any:
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"""
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Create a follow-up completion with tool results.
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@@ -286,6 +287,7 @@ class AnthropicProvider(BaseLLMProvider):
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tool_results: Results of tool executions
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original_response: Original response with tool calls
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stream: Whether to stream the response
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tools: List of tool definitions in Anthropic format
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Returns:
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Anthropic response object or generator if streaming
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@@ -327,7 +329,7 @@ class AnthropicProvider(BaseLLMProvider):
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temperature=temperature,
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max_tokens=max_tokens,
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stream=stream,
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tools=None, # No tools needed for follow-up
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tools=tools,
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)
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def get_content(self, response: Any) -> str:
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