mirror of
https://github.com/BerriAI/litellm.git
synced 2026-10-17 04:34:25 +00:00
ed9c02d2d9
* fix(ollama): one stream id, 400 on non-text tool content, separated tool results, no empty message item The ollama/ text stream minted a fresh chatcmpl- id per chunk; every chunk now carries the one id of its response. A tool message with int content raised a TypeError inside ollama_pt and answered 500; it now answers 400 naming the message index and the type it carried. Merged user, tool, and function turns and the text parts of one message were joined with no separator; they are joined with a newline. A streamed tool call with no text rebuilds to content null instead of an empty string, and the Responses bridge no longer opens a message item on a leading empty delta, so a /v1/responses stream on a tool call completes with the function_call alone, as the non-stream call does * fix(ollama): defer the BadRequestError annotation so litellm imports on Python 3.10 to 3.13 * fix(ollama): read the user run lazily, type the prompt helpers, and 400 on a non-string text part * fix(ollama): 400 on a text or image_url part that carries no value * fix(responses): stream bridged output items at contiguous indexes and reject non-object ollama content parts The chat-completions bridge reserved output_index 0 for the message item, so a tool-only stream announced its function_call at index 1 with no item at 0 and the OpenAI SDK's responses.stream() accumulator raised IndexError. Items now take the next index in emission order, reasoning included, and response.completed lists the output in that streamed order. ollama_pt answers 400 for a content part that is not an object and for an image_url object without a url string, instead of a 500 or a silent drop. * fix(responses): list only announced items in the bridged completed snapshot The Responses bridge drops a message item from response.completed when the stream never announced one and its text is empty, so a tool-only stream and a reasoning-only stream end with the items the client saw. The chunk builder's rebuilt content goes back to what main does; aligning it with the non-stream shape is its own change for every provider's consumers * style(responses): sort the itertools import with the other stdlib imports * test(integration): add ollama prompt-tools and responses bridge audit cells |
||
|---|---|---|
| .. | ||
| __init__.py | ||
| test_ollama_chat_transformation.py | ||
| test_ollama_completion_transformation.py | ||
| test_ollama_embedding.py | ||
| test_ollama_model_info.py | ||