fix: include token usage in Databricks streaming responses#7959
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fix: include token usage in Databricks streaming responses#7959
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Add stream_options with include_usage=true to Databricks streaming requests so the API returns token counts in streaming chunks. Without this, token counts remain unreported and show as zero in the UI.
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Preserve any caller-supplied stream_options from request_params instead of overwriting them unconditionally.
DOsinga
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* origin/main: fix(openai): use Responses API for gpt-5.4 (#7982) Remove lead/worker provider (#7989) chore(release): release version 1.28.0 (#7991) Fix empty tool results from resource content (e.g. auto visualiser) (#7866) Separate SSE streaming from POST work submission (#7834) fix: include token usage in Databricks streaming responses (#7959) Optimize tool summarization (#7938)
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* main: (22 commits) feat: add gemini-acp provider, update docs on subscription models + improvements to codex (#8000) fix(openai): use Responses API for gpt-5.4 (#7982) Remove lead/worker provider (#7989) chore(release): release version 1.28.0 (#7991) Fix empty tool results from resource content (e.g. auto visualiser) (#7866) Separate SSE streaming from POST work submission (#7834) fix: include token usage in Databricks streaming responses (#7959) Optimize tool summarization (#7938) fix: overwrite the deprecated googledrive extension config (#7974) refactor: remove unnecessary Arc<Mutex> from tool execution pipeline (#7979) Revert message flush & test (#7966) docs: add Remote Access section with Telegram Gateway documentation (#7955) fix: update webmcp blog post metadata image URL (#7967) fix: clean up OAuth token cache on provider deletion (#7908) fix: hard-coded tool call id in code mode callback (#7939) Fix SSE parsers to accept optional space after data: prefix (#7929) docs: add GOOSE_INPUT_LIMIT to config-files.md (#7961) Add WebMCP for Beginners blog post (#7957) Fix download manager (#7933) Improve the formatting of tool calls, show thinking, treat Reasoning and Thinking as the same thing (sorry Kant) (#7626) ...
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Signed-off-by: esnyder <[email protected]>
elijahsgh
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Signed-off-by: esnyder <[email protected]>
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Summary
Add
stream_options: {"include_usage": true}to Databricks streaming requests. The Databricks provider was not including this option, so the API never returned token usage data in streaming chunks. This caused token counts to stay at zero in the chat UI footer, even though the backend was making requests and receiving responses.Testing
Manual testing with Databricks provider models (e.g.,
databricks-claude-sonnet-4) should now show token counts updating in the UI footer as responses stream in.Related Issues
None