mirror of
https://github.com/mudler/LocalAI
synced 2026-05-24 09:28:23 +00:00
9748a1cbc6
When TASK_RESPONSE_TYPE_OAI_CHAT is used, the first streaming token produces a JSON array with two elements: a role-init chunk and the actual content chunk. The grpc-server loop called attach_chat_deltas for both elements with the same raw_result pointer, stamping the first token's ChatDelta.Content on both replies. The Go side accumulated both, emitting the first content token twice to SSE clients. Fix: in the array iteration loops in PredictStream, detect role-init elements (delta has "role" key) and skip attach_chat_deltas for them. Only content/reasoning elements get chat deltas attached. Reasoning models are unaffected because their first token goes into reasoning_content, not content. |
||
|---|---|---|
| .. | ||
| application | ||
| backend | ||
| cli | ||
| clients | ||
| config | ||
| dependencies_manager | ||
| explorer | ||
| gallery | ||
| http | ||
| p2p | ||
| schema | ||
| services | ||
| startup | ||
| templates | ||
| trace | ||