* fix(onboard): increase verification timeout and reduce max_tokens for custom provider probes
The onboard wizard sends a chat-completion request to verify custom
providers. With max_tokens: 1024 and a 10 s timeout, large local
models (e.g. Qwen3.5-27B on llama.cpp) routinely time out because
the server needs to load the model and generate up to 1024 tokens
before responding.
Changes:
- Raise VERIFY_TIMEOUT_MS from 10 s to 30 s
- Lower max_tokens from 1024 to 1 (verification only needs a single
token to confirm the API is reachable and the model ID is valid)
- Add explicit stream: false to both OpenAI and Anthropic probes
Closes#27346
Made-with: Cursor
* Changelog: note custom-provider onboarding verification fix
---------
Co-authored-by: Philipp Spiess <hello@philippspiess.com>
Land contributor PR #29032 by @maloqab with Slack native alias docs, integration tests, and changelog entry.
Co-authored-by: maloqab <mitebaloqab@gmail.com>
Fix tool-call lookup failures when models emit whitespace-padded names by normalizing
both transcript history and live streamed embedded-runner tool calls before dispatch.
Co-authored-by: wangchunyue <80630709+openperf@users.noreply.github.com>
Co-authored-by: Sid <sidqin0410@gmail.com>
Co-authored-by: Philipp Spiess <hello@philippspiess.com>
* fix(provider): normalize bare gemini-3 Pro model IDs for google-antigravity
The Antigravity Cloud Code Assist API requires a thinking-tier suffix
(-low or -high) for all Gemini 3 Pro variants. When a user configures
a bare model ID like `gemini-3.1-pro`, the API returns a 404 because it
only recognises `gemini-3.1-pro-low` or `gemini-3.1-pro-high`.
Add `normalizeAntigravityModelId()` that appends `-low` (the default
tier) to bare Pro model IDs, and apply it during provider normalisation
for `google-antigravity`. Also refactor the per-provider model
normalisation into a shared `normalizeProviderModels()` helper.
Closes#24071
Co-authored-by: Cursor <cursoragent@cursor.com>
* Tests: cover antigravity model ID normalization
* Changelog: note antigravity pro tier normalization
* Tests: type antigravity model helper inputs
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* fix(agents): add "google" provider to isReasoningTagProvider to prevent reasoning leak
The gemini-api-key auth flow creates a profile with provider "google"
(e.g. google/gemini-3-pro-preview), but isReasoningTagProvider only
matched "google-gemini-cli" (OAuth) and "google-generative-ai". As a
result:
- reasoningTagHint was false → system prompt omitted <think>/<final>
formatting instructions
- enforceFinalTag was false → <final> tag filtering was skipped
Raw <think> reasoning output was delivered to the end user.
Fix: add the bare "google" provider string to the match list and cover
it with two new test cases (exact match + case-insensitive).
Fixes#26551
* fix(agents): add forward-compat fallback for google-gemini-cli gemini-3.1-pro/flash-preview
gemini-3.1-pro-preview and gemini-3.1-flash-preview are not yet present in
pi-ai's built-in google-gemini-cli model catalog (only gemini-3-pro-preview
and gemini-3-flash-preview are registered). When users configure these models
they get "Unknown model" errors even though Gemini CLI OAuth supports them.
The codebase already has isGemini31Model() in extra-params.ts, which proves
intent to support these models. Add a resolveGoogleGeminiCli31ForwardCompatModel
entry to resolveForwardCompatModel following the same clone-template pattern
used for zai/glm-5 and anthropic 4.6 models.
- gemini-3.1-pro-* clones gemini-3-pro-preview (with reasoning: true)
- gemini-3.1-flash-* clones gemini-3-flash-preview (with reasoning: true)
Also add test helpers and three test cases to model.forward-compat.test.ts.
Fixes#26524
* Changelog: credit Google Gemini provider fallback fixes
---------
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
