Till JS 5520f1385e fix(mana-llm): add response_format to ChatCompletionRequest model ... The first iteration of the Ollama response_format passthrough crashed with 'ChatCompletionRequest object has no attribute response_format' because the Pydantic request model didn't declare the field at all — incoming response_format from OpenAI-compatible clients was being silently dropped at the parsing layer before the provider could see it. Fix: declare a typed ResponseFormat sub-model with the two OpenAI shapes ('json_object' and 'json_schema'), add it as an optional field on ChatCompletionRequest, and let the Ollama provider read it directly without defensive getattr fallbacks. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>		2026-04-09 18:50:54 +02:00
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__init__.py	✨ feat(mana-llm): add central LLM abstraction service	2026-01-29 22:01:00 +01:00
base.py	✨ feat(mana-llm): add central LLM abstraction service	2026-01-29 22:01:00 +01:00
google.py	feat(mana-llm): add Google Gemini fallback provider with auto-routing	2026-03-23 22:44:09 +01:00
ollama.py	fix(mana-llm): add response_format to ChatCompletionRequest model	2026-04-09 18:50:54 +02:00
openai_compat.py	✨ feat(mana-llm): add central LLM abstraction service	2026-01-29 22:01:00 +01:00
router.py	feat(mana-llm): add Google Gemini fallback provider with auto-routing	2026-03-23 22:44:09 +01:00