afed5fb791
Conflicts came from #5720 (native Gemini provider). All resolved keeping both branches' functionality: - provider-capabilities.ts: gemini bucket now uses #5720's narrow capability shape (temperature/topP/topK/presencePenalty true) plus the 27 extended-sampler fields from this PR (all false on gemini since Google's API doesn't accept them). stop=true added so the new generationConfig.stopSequences forwarding lights up the UI. - chat-adapter.ts: kept all 27-field forwarding from this PR; used the tighter comments from main. - routes/inference.py: pass both this PR's sampling kwargs (frequency_penalty/seed/stop/service_tier/parallel_tool_calls) and main's tools/tool_choice through to stream_chat_completion. - external_provider.py: same. Every dispatcher (anthropic/openai/ gemini) now takes both branches' new args. Added stop forwarding to _stream_gemini as generationConfig.stopSequences (capped at 5 per native API docs); updated test_gemini_stop_sequences_capped_to_5 to assert the native shape instead of the OAI-compat shape. 256/256 backend tests pass (test_sampling_params_routing 65 + anthropic/openai/gemini integration suites 191); frontend type-check plus vite build clean. |
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| .. | ||
| __init__.py | ||
| _html_to_md.py | ||
| anthropic_compat.py | ||
| audio_codecs.py | ||
| chat_template_helpers.py | ||
| defaults.py | ||
| external_provider.py | ||
| inference.py | ||
| key_exchange.py | ||
| llama_cpp.py | ||
| llama_server_args.py | ||
| mlx_inference.py | ||
| orchestrator.py | ||
| pricing.py | ||
| providers.py | ||
| safetensors_agentic.py | ||
| tool_call_parser.py | ||
| tools.py | ||
| worker.py | ||