Rosie Val 614a109378 Add Groq as an LLM provider ... Config.PROVIDER was never actually consulted by the LLM call sites - rag_engine.py, insight_extractor.py, and knowledge_lifecycle.py all hardcoded Ollama directly. This wires up a real "groq" provider: - config.py: GROQ_API_KEY/GROQ_MODEL settings, is_groq_provider(), provider-aware get_active_llm_model() and validate_provider_config() - rag_engine.py: uses llama_index's Groq LLM when provider is groq - insight_extractor.py / knowledge_lifecycle.py: branch to Groq's OpenAI-compatible chat completions API instead of Ollama's /api/generate - requirements.txt: add llama-index-llms-groq Embeddings are untouched and stay on Ollama - Groq has no embeddings API. Default model is openai/gpt-oss-120b.		2026-08-22 13:53:46 -04:00
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core	Add Groq as an LLM provider	2026-08-22 13:53:46 -04:00
db	feat: Add Knowledge Lifecycle Engine and fix upload_document MCP tool	2026-02-06 10:08:00 -06:00
utils	first commit	2025-10-22 13:29:28 -05:00
__init__.py	first commit	2025-10-22 13:29:28 -05:00