Two paired changes so the frontend capability map has matching backend behaviour: 1. ExternalProviderClient.stream_chat_completion now accepts top_k and forwards it to the Anthropic Messages body. OpenAI-compat providers (which all reject unknown sampling params) still receive only the fields they document. The proxy route in routes/inference.py passes payload.top_k through, so a UI request with top_k actually reaches Anthropic instead of being silently dropped at the boundary. 2. PROVIDER_REGISTRY['openai'] gains a model_id_allowlist regex that scopes the /models picker to current-gen ids (gpt-5.5 / gpt-5.4 / gpt-5.3 / gpt-4.5 / o3 families). The remote /v1/models listing otherwise returns dozens of historical snapshots, fine-tunes and non-chat models (embeddings, TTS, image, moderation) that we never want in the chat UI. default_models is refreshed to match. |
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|---|---|---|
| .. | ||
| __init__.py | ||
| _html_to_md.py | ||
| anthropic_compat.py | ||
| audio_codecs.py | ||
| defaults.py | ||
| external_provider.py | ||
| inference.py | ||
| key_exchange.py | ||
| llama_cpp.py | ||
| llama_server_args.py | ||
| mlx_inference.py | ||
| orchestrator.py | ||
| providers.py | ||
| tools.py | ||
| worker.py | ||