GeezerVisonThe World Wide Web, restored to 800 pixels of glory. | |||||||||||||||||||||||
| Home|About|Gaming cabinet|Archives|How it works|Starter sites | |||||||||||||||||||||||
GeezerVison is showing github.com — fix(models): correct model catalog data and Gemini thinking-config wire format by waleedlatif1 · Pull Request #5559 · simstudioai/sim Conversation
Collaborator
Summary
Type of Change
Testing
Checklist
Sorry, something went wrong. Uh oh!
There was an error while loading. Please reload this page. All reactions
…re format - OpenAI: remove fabricated 'max' reasoning-effort value from gpt-5.6 family - Anthropic: fix claude-sonnet-4-6 maxOutputTokens (64k -> 128k); remove 3 fully retired models (claude-opus-4-0, claude-sonnet-4-0, claude-3-haiku-20240307); fix budget_tokens/max_tokens clamp that could send budget_tokens >= max_tokens for claude-opus-4-1 at its default thinking level - Google/Vertex: un-deprecate gemini-3-flash-preview (no shutdown date announced); add thinking capability to gemini-2.5-pro/flash/flash-lite (google + vertex) - Fix gemini/core.ts to send thinkingBudget (not thinkingLevel) for Gemini 2.5-series models, which reject thinkingLevel entirely - only Gemini 3.x supports it - Bedrock: mark claude-opus-4-1 deprecated per AWS's own Bedrock lifecycle schedule (Legacy since Jul 8 2026, separate from Anthropic's direct-API date)
|
There was an error while loading. Please reload this page.
|
The latest updates on your projects. Learn more about Vercel for GitHub. |
Sorry, something went wrong.
There was an error while loading. Please reload this page.
There was an error while loading. Please reload this page.
PR SummaryMedium Risk Overview Anthropic extended-thinking requests now shrink Gemini sends Catalog / UI metadata: Reviewed by Cursor Bugbot for commit 1103ca5. Configure here. |
Sorry, something went wrong.
There was an error while loading. Please reload this page.
There was an error while loading. Please reload this page.
Greptile SummaryThis PR updates model catalog data and provider thinking configuration. The main changes are:
Confidence Score: 5/5This looks safe to merge.
Important Files Changed
Reviews (4): Last reviewed commit: "chore(models): tighten inline comments i..." | Re-trigger Greptile |
Sorry, something went wrong.
There was an error while loading. Please reload this page.
There was an error while loading. Please reload this page.
…removing Greptile caught a real backward-compat regression: fully removing claude-opus-4-0/claude-sonnet-4-0/claude-3-haiku-20240307 dropped them from getHostedModels()/shouldBillModelUsage(), so saved workflows still referencing them would fail on a missing-API-key error instead of Anthropic's actual "model retired" error. deprecated:true isn't consumed by the model picker (only copilot's serializer reads it), so restoring them this way costs nothing on hiding from new selection while preserving hosted-key resolution for existing references.
Sorry, something went wrong.
There was an error while loading. Please reload this page.
|
@cursor review |
Sorry, something went wrong.
There was an error while loading. Please reload this page.
There was a problem hiding this comment.
The reason will be displayed to describe this comment to others. Learn more.
✅ Bugbot reviewed your changes and found no new issues!
Comment @cursor review or bugbot run to trigger another review on this PR
Reviewed by Cursor Bugbot for commit ec43215. Configure here.
Sorry, something went wrong.
There was an error while loading. Please reload this page.
…2.5 disable-thinking gap Found during a final per-model audit round with independent 2-3 source verification on every changed model: - gpt-5.6-sol: restore 'max' reasoning-effort value. Multiple independent sources (OpenAI's own model-guidance docs page, launch announcement, and press coverage) confirm 'max' is a real, newly-launched value exclusive to Sol - not fabricated as originally assessed. Terra and Luna correctly do NOT get 'max' (confirmed Sol-exclusive), so they're unchanged. - gemini-2.5-flash / gemini-2.5-flash-lite (google + vertex): selecting 'none' for thinking level was sending no thinkingConfig at all, which falls back to the API's dynamic default (thinking stays ON for flash) - not actually disabling it, even though both models explicitly support thinkingBudget:0. Now sends an explicit budget of 0 for these two models specifically (gemini-2.5-pro is correctly excluded - it cannot disable thinking at all, floor is 128 not 0).
Sorry, something went wrong.
There was an error while loading. Please reload this page.
|
@cursor review |
Sorry, something went wrong.
There was an error while loading. Please reload this page.
There was a problem hiding this comment.
The reason will be displayed to describe this comment to others. Learn more.
✅ Bugbot reviewed your changes and found no new issues!
Comment @cursor review or bugbot run to trigger another review on this PR
Reviewed by Cursor Bugbot for commit 6b4e02a. Configure here.
Sorry, something went wrong.
There was an error while loading. Please reload this page.
Trim verbose multi-line comments to single concise lines and remove duplication with the TSDoc already on the ANTHROPIC_MIN_BUDGET_TOKENS/ ANTHROPIC_THINKING_OUTPUT_HEADROOM constants. No behavior change - verified against the full test suite (811 files, 11141 tests, all passing).
Sorry, something went wrong.
There was an error while loading. Please reload this page.
|
@cursor review |
Sorry, something went wrong.
There was an error while loading. Please reload this page.
There was a problem hiding this comment.
The reason will be displayed to describe this comment to others. Learn more.
✅ Bugbot reviewed your changes and found no new issues!
Comment @cursor review or bugbot run to trigger another review on this PR
Reviewed by Cursor Bugbot for commit 1103ca5. Configure here.
Sorry, something went wrong.
There was an error while loading. Please reload this page.
There was an error while loading. Please reload this page.
1103ca56
Deployed
There was an error while loading. Please reload this page.
Successfully merging this pull request may close these issues.
There was an error while loading. Please reload this page.