chore(release): release version 1.34.2 (patch)

[github-actions]

Release v1.34.2

Test before Release

1. Close and reopen this PR to trigger CI and produce the Desktop bundle for testing. Reason: workflows don't run on PRs opened by GITHUB_TOKEN (docs).
2. Make sure all check workflows pass.
3. Install the Desktop bundle from the download links (posted as a comment below when it is ready).
4. Complete the goose Release Manual Testing Checklist (posted as a comment below).

How to Release

Push the release tag to trigger the release:

git fetch && git tag v1.34.2 origin/release/1.34.2
git push origin v1.34.2

The tag push will trigger the release build. This PR will be automatically closed.

Cherry-Picks

If you need to include additional fixes, cherry-pick them into the release/1.34.2 branch before tagging.

Important Notes

• All commits in this release should have corresponding cherry-picks in main
• This PR can be closed if the release is not needed.

Changes in This Release

Comparing: v1.34.1...v1.34.2

• chore(release): release version 1.34.2 (a76f37f)

---

This release PR was generated automatically.

[github-actions]

goose Release Manual Testing Checklist

Version: 1.34.2

Identify the high risk changes in this Release

./workflow_recipes/release_risk_check/run.sh 1.34.2

It will generate an analysis report in /tmp/release_report_final.md and perform testing is necessary for high risk pr changes.

Regression Testing

Make a copy of this document for each version and check off as steps are verified.

Provider Testing

• Run cd ui/desktop && pnpm run test:integration:providers locally from the release branch and verify all providers/models work
• Launch goose, click reset providers, choose databricks and a model

Starting Conversations

Test various ways to start a conversation:

• Open home and start a new conversation with "Hello"
  • Agent responds
  • Token count is updated after agent finishes
  • Go to history and see there is a new entry
• Go back to the main screen, start a new conversation from the hub and see that it opens a new conversation
• Open history and click the Hello conversation - verify it loads
• Add a new message to this conversation and see that it is added
• Change the working directory of an existing conversation
  • Ask "what is your working directory?"
  • Response should match the new directory
• Open a new window, click chat in left side for new chat
• Click "create a tamagotchi game" in popular chat topics to test developer extension

Recipes

Create Recipe from Session

• Start a simple chat conversation like "hi"
• Click "create a recipe from this session" in the bottom chat bar
  • Recipe title, description and instructions should be filled in with details from the chat
  • Add a few activities and params (params unused indicator should update if added to instructions/prompts or activities)
  • Can launch create and run recipe - launches in a new window showing as a recipe agent chat with parameters filled in and interact with it
  • Recipe should be saved in recipe library

Use Existing Recipe

• Pick trip planner from recipe hub (go/gooserecipes)
  • See the warning whether to trust this recipe (only on fresh install)
  • See the form pop up
  • Fill in the form with "Africa" and "14 days"
  • Check results are reasonable
  • Ask how many days the trip is for - should say 14

Recipe Management

• Go to recipe manager and enter a new recipe to generate a joke
  • See that it works if you run it
  • Edit the recipe by bottom bar and click "View/Edit Recipe"
  • Make it generate a limerick instead
  • Check that the updated recipe works
  • Delete the recipe from the recipe manager
  • Verify recipe is actually deleted

Recipe from File

• Create a file ~/.config/goose/recipes/test-recipe.yaml with the following content:

recipe:
  title: test recipe again
  description: testing recipe again
  instructions: The value of test_param is {{test_param}}
  prompt: What is the value of test_param?
  parameters:
    - key: test_param
      input_type: string
      requirement: required
      description: Enter value for test_param

• See that it shows up in the list of installed recipes
• Launch the recipe, see that it asks for test_param
• Enter a number, see that it pre-fills the prompt and tells you the value after you hit submit
• Go to hub and enter "what is the value of test_param"
• See a new chat that says it has no idea (recipe is no longer active)

Extensions

Manual Extension Addition

• Can manually add an extension using random quotes from project
  • Add new custom stdio extension with the following command and save:
    • node /ABSOLUTE/PATH/TO/goose/ui/desktop/tests/e2e/basic-mcp.ts (use your actual project path)
    • Should add and can chat to ask for a random quote

Playwright Extension

• Install the playwright extension from the extensions hub
  • Tell it to open a browser and search on Google for cats
  • Verify that the browser opens and navigates

Extension with Environment Variables

• Install an extension from deeplink that needs env variables:
  • Use: goose://extension?cmd=npx&arg=-y&arg=%40upstash%2Fcontext7-mcp&id=context7&name=Context7&description=Use%20up-to-date%20code%20and%20docs&env=TEST_ACCESS_TOKEN
  • Extension page should load with env variables modal showing
  • Allow form input and saving extension

Speech-to-Text (Local Model)

• Go to Settings > Chat > Voice dictation provider and select the small model
• Run a quick test that speech-to-text is working (click the mic button, speak, verify transcription)
• Also try OpenAI using your OpenAI key

Settings

• Settings page loads and all tabs load
• Can change dark mode setting

Follow-up Issues

Link any GitHub issues filed during testing:

---

Tested by: _____
Date: _____
Notes: _____

[chatgpt-codex-connector]

💡 Codex Review

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Reviewed commit: a76f37f4f2

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• Mark a draft as ready
• Comment "@codex review".

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When you sign up for Codex through ChatGPT, Codex can also answer questions or update the PR, like "@codex address that feedback".

[chatgpt-codex-connector]

Restore GPT-5.1 canonical capabilities

For nano-gpt/openai/gpt-5.1, this release flips reasoning and tool_call to false and also changes the nearby limits to 1,000,000/32,768, but the canonical OpenAI GPT-5.1 entry and OpenAI's model docs list reasoning/tool support with a 400,000 context window and 128,000 max output tokens (https://platform.openai.com/docs/models/gpt-5.1/). These fields feed provider templates directly via get_provider_template, and the limits are consumed by ModelConfig::with_canonical_limits, so NanoGPT users selecting this catalog model will see incorrect capabilities and be capped to the wrong output budget.

Useful? React with 👍 / 👎.