Feat/more openrouter models - #2
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Add 5 new free models (gpt-oss-120b, qwen3-coder, nex-n2-pro, gpt-oss-20b, nemotron-omni-30b-reasoning) verified against the OpenRouter API. Inserted at high-priority slots so larger/stronger models are tried before smaller fallbacks. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Refactor llm.py to route each model to its own OpenAI-compatible client via "provider>model_id" format in the chain. No prefix = openrouter (backward compat). Add Groq as second provider with 3 free models (llama-3.3-70b-versatile, qwen3.6-27b, llama-3.1-8b-instant). Adding a future provider requires: one dict entry in _provider_registry(), two env vars in config.py, and prefixed model IDs in GENERATION_MODELS. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Extend multi-provider registry with Cerebras (wafer-scale ~2000 tok/s) and Mistral AI (free-tier). Add 5 new models to fallback chain: cerebras>llama-3.3-70b, cerebras>qwen-3-32b, cerebras>llama-3.1-8b, mistral>mistral-small-latest, mistral>open-mistral-nemo. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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