Danny Avila cdd4c09076 🧠 fix: Apply the Configured Reasoning Effort to Summarization (#15232) ... A summarizer that reuses the main agent's client options silently inherits the agent's reasoning effort: `summarization.parameters.reasoning_effort` is a scalar, and every OpenAI-compatible LangChain client reads only `reasoning` from constructor fields — `reasoning_effort` is a call-time option, so it is dropped outright. A hidden summary configured for `low` runs at whatever the agent resolved, and the yaml schema (scalars only) gives users no way to express the nested shape themselves. Translate the scalar the way the main flow's `getOpenAIConfig` does, into the top-level `reasoning` object the client honors. Top-level rather than nested, because the SDK spreads `parameters` onto the agent's client options: a `modelKwargs` fragment would replace the agent's `modelKwargs` wholesale, while `reasoning` merges over an inherited `modelKwargs.reasoning` in `ChatOpenRouter` and is re-emitted as `reasoning_effort` by Chat Completions. OpenRouter's adaptive Anthropic models keep the main flow's mapping, where effort is expressed as `verbosity` rather than `reasoning.effort`. Also prefer the provider `getOpenAIConfig` detects over the one `getProviderConfig` reports, so a cross-endpoint summarizer pointed at an OpenRouter endpoint whose config name isn't `openrouter` builds the same client the main agent flow builds for it. Supersedes #15088; thanks to @flamerged for the diagnosis and the OpenRouter repro.		2026-08-25 23:54:36 -04:00
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src	🧠 fix: Apply the Configured Reasoning Effort to Summarization (#15232)	2026-08-25 23:54:36 -04:00
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