curo1305
02bcbb9143
- openai_provider.py: singleton self._client=AsyncOpenAI(...) in __init__ (D-07),
_truncate() 60/40 smart truncation (D-13), removed MAX_AI_CHARS constant,
changed __init__ signature to include context_chars, removed _client() method
- generic_openai_provider.py: new class, subclasses OpenAIProvider, conditional
response_format={"type":"json_object"} on supports_json_mode flag (D-01/D-02),
imports parse_classification + parse_suggestions from ai.utils (D-02 contract)
- ollama_provider.py: added context_chars kwarg with default 8000, passes through
- lmstudio_provider.py: added context_chars kwarg with default 8000, passes through
- classifier.py: removed MAX_AI_CHARS constant and text[:MAX_AI_CHARS] slices;
truncation now handled inside each provider via _truncate()
- requirements.txt: bumped anthropic floor to >=0.95.0 (D-03 output_config support)
17 lines
447 B
Python
17 lines
447 B
Python
from ai.openai_provider import OpenAIProvider
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class LMStudioProvider(OpenAIProvider):
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def __init__(
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self,
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base_url: str = "http://host.docker.internal:1234",
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model: str = "gemma-4-e4b-it",
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context_chars: int = 8000,
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):
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super().__init__(
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api_key="lm-studio",
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model=model,
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base_url=base_url.rstrip("/") + "/v1",
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context_chars=context_chars,
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)
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