fix: add missing _parse_response to AzureOpenAIStructuredLLM (#4434)
Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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co-authored by
Matt Van Horn
Claude Opus 4.6
parent
54bdbde6e6
commit
4437c3e8a8
@@ -1,3 +1,4 @@
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import json
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import os
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from typing import Dict, List, Optional
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@@ -6,6 +7,7 @@ from openai import AzureOpenAI
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from mem0.configs.llms.base import BaseLlmConfig
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from mem0.llms.base import LLMBase
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from mem0.memory.utils import extract_json
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SCOPE = "https://cognitiveservices.azure.com/.default"
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@@ -83,9 +85,35 @@ class AzureOpenAIStructuredLLM(LLMBase):
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params["tools"] = tools
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params["tool_choice"] = tool_choice
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if tools:
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params["tools"] = tools
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params["tool_choice"] = tool_choice
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response = self.client.chat.completions.create(**params)
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return self._parse_response(response, tools)
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def _parse_response(self, response, tools):
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"""
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Process the response based on whether tools are used or not.
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Args:
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response: The raw response from API.
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tools: The list of tools provided in the request.
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Returns:
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str or dict: The processed response.
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"""
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if tools:
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processed_response = {
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"content": response.choices[0].message.content,
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"tool_calls": [],
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}
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if response.choices[0].message.tool_calls:
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for tool_call in response.choices[0].message.tool_calls:
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processed_response["tool_calls"].append(
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{
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"name": tool_call.function.name,
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"arguments": json.loads(extract_json(tool_call.function.arguments)),
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}
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)
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return processed_response
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else:
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return response.choices[0].message.content
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