Matt Toohey
e7cc82abf5
Databricks' serving-endpoints/responses endpoint expects Chat Completions
format (messages, text content types, function-wrapped tools), but
create_responses_request() builds OpenAI Responses API format (input,
input_text/output_text, flat tool definitions). This caused a 400 error
("Missing required Chat parameter: 'messages'") when using GPT-5.5 or
other responses-capable models via the Databricks provider.
Post-process the payload after create_responses_request() to convert:
- "input" → "messages" with content type renaming (input_text/output_text → text)
- function_call items → assistant tool_calls in Chat Completions format
- function_call_output items → tool-role messages
- Responses API tool format → Chat Completions {type, function: {...}} format
- reasoning object → reasoning_effort string
- max_output_tokens → max_completion_tokens
- Remove store field
Also switch response handler from stream_responses_compat to
stream_openai_compat since Databricks returns Chat Completions SSE format.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Signed-off-by: Matt Toohey <contact@matttoohey.com>
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