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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| .. | ||
| data_recipe | ||
| .gitkeep | ||
| __init__.py | ||
| auth.py | ||
| chat_history.py | ||
| datasets.py | ||
| export.py | ||
| inference.py | ||
| models.py | ||
| providers.py | ||
| training.py | ||
| training_history.py | ||