fix: Resolve issues with GPT5 models (#1483)

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## Description
Resolve issues with gpt 5 models for structured outputs by forcing JSON
mode in instructor

## Type of Change
<!-- Please check the relevant option -->
- [x] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):

## Screenshots/Videos (if applicable)
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## Pre-submission Checklist
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- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] I have added necessary documentation (if applicable)
- [x] All new and existing tests pass
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submitted already
- [x] I have linked any relevant issues in the description
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## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/openai/adapter.py

@@ -29,9 +29,6 @@ observe = get_observe()
 
 logger = get_logger()
 
-# litellm to drop unsupported params, e.g., reasoning_effort when not supported by the model.
-litellm.drop_params = True
-
 
 class OpenAIAdapter(LLMInterface):
     """
@@ -76,8 +73,10 @@ class OpenAIAdapter(LLMInterface):
         fallback_api_key: str = None,
         fallback_endpoint: str = None,
     ):
-        self.aclient = instructor.from_litellm(litellm.acompletion)
-        self.client = instructor.from_litellm(litellm.completion)
+        self.aclient = instructor.from_litellm(
+            litellm.acompletion, mode=instructor.Mode.JSON_SCHEMA
+        )
+        self.client = instructor.from_litellm(litellm.completion, mode=instructor.Mode.JSON_SCHEMA)
         self.transcription_model = transcription_model
         self.model = model
         self.api_key = api_key
@@ -135,7 +134,6 @@ class OpenAIAdapter(LLMInterface):
                 api_version=self.api_version,
                 response_model=response_model,
                 max_retries=self.MAX_RETRIES,
-                reasoning_effort="minimal",
             )
         except (
             ContentFilterFinishReasonError,
@@ -223,7 +221,6 @@ class OpenAIAdapter(LLMInterface):
             api_base=self.endpoint,
             api_version=self.api_version,
             response_model=response_model,
-            reasoning_effort="minimal",
             max_retries=self.MAX_RETRIES,
         )