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* 🖼️ fix: Apply an Agent's Configured Image Detail The Agent Builder exposes an Image Detail slider and saves it to `model_parameters.imageDetail`, but nothing ever read it back: `encodeAndFormat` resolves the level from `req.body.imageDetail`, which the agents route never populates, so every image was encoded as `detail: "auto"`. Providers that reject `auto` — MiniMax's OpenAI-compatible API among them — fail every image upload through an agent, and the setting that would fix it has no effect. The root cause is a classification error rather than a missing argument. `extractLibreChatParams` splits LibreChat's own settings out of an agent's model parameters, and its key set is derived from the `librechat` group in `parameterSettings`. `imageDetail` sat in `baseDefinitions` instead, so it was neither extracted for LibreChat's use nor stripped from the options handed to the provider. It is now grouped with `resendFiles` and the other LibreChat-level parameters, which gives it the same path those already take: extracted during agent initialization, carried on the initialized agent, passed to the client, and read by `encodeAndFormat`. `AgentClient.getSaveOptions` already expected `options.imageDetail` — nothing had ever populated it. The request body still wins where it is set, so the classic endpoints keep resolving detail from conversation settings exactly as before. Fixes #15359 * 🔤 fix: Type Image Detail as Its Enum, Not a Bare String `TConversation.imageDetail` is the `ImageDetail` enum, so the extractor's return type and the initialized agent's field are now declared as that enum rather than widened to `string`, and the tests pass enum members instead of raw literals. Caught by CI's type check, which I had run before adding the tests and not after — jest compiles the specs through babel, so the suite stayed green over a type error. |
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| .. | ||
| avatar.js | ||
| avatar.spec.js | ||
| convert.js | ||
| encode.js | ||
| encode.spec.js | ||
| index.js | ||
| resize.js | ||