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feat(llm): add model-specific reasoning effort controls

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Yichen Jiang
2026-07-25 07:47:51 +08:00
parent 65d29da8a1
commit 8372340f9c
50 changed files with 1046 additions and 88 deletions
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docs/user/develop/practice/llm-adapter.md
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@@ -110,7 +110,9 @@ async function* exampleChunks(): AsyncIterable<StreamChunk> {
## GenerateOptions
`stream()` receives the exported `GenerateOptions` type. It includes the model, conversation history, system prompt, tool schemas, generation parameters, stop sequences, and abort signal; treat the TypeScript type exported by `@deepseek-ai/dsh-llm` as authoritative. Map supported fields to the provider API. If the provider cannot honor a field, throw `LlmError` with a stable code instead of silently dropping it.
`stream()` receives the exported `GenerateOptions` type. It includes the model, adapter-owned reasoning-effort id, conversation history, system prompt, tool schemas, generation parameters, stop sequences, and abort signal; treat the TypeScript type exported by `@deepseek-ai/dsh-llm` as authoritative. Map supported fields to the provider API. If the provider cannot honor a field, throw `LlmError` with a stable code instead of silently dropping it.
Override `resolveModelReasoning(provider, model)` when an exact model exposes selectable reasoning strengths. Return ordered opaque ids and display names plus an optional configured default; do not promote provider names into a core enum. The service validates the metadata and rejects unsupported explicit values before `stream()`. Returning `undefined` means that model has no selectable reasoning-effort capability.
## Register an adapter