Colin McDonnell ba1966f17c feat: encrypted account-level secrets (#501)
* feat: add encrypted account-level secrets with UI for adding API keys

Adds AccountSecret model with AES-256-GCM encryption, API routes for
CRUD, "Add secret" button in model costs section, and injects decrypted
secrets into action env (YAML secrets take precedence).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: repo secrets, sidebar icons, lazy learnings history

- add repo-level secrets with inheritance from org secrets
- add icons to console sidebar sections
- fix learnings history modal: lazy fetch with hover prefetch,
  strip content from list response, load content per-expansion

Made-with: Cursor

* add input validation bounds for secrets and fix client-side name filter

Made-with: Cursor

* refactor: migrate all client-side data fetching to TanStack Query

Replace manual useState/useEffect/fetch patterns and the custom
usePolling hook with useQuery, useInfiniteQuery, and useMutation
across the entire frontend for consistent caching, background
refetching, and reactive invalidation.

- ActiveWorkflowRunsSection: useQuery + refetchInterval
- WorkflowRunHistory: useInfiniteQuery + polling query
- LearningsSection: useQuery per revision (lazy)
- FlagsSettings: self-contained useQuery + useMutation
- SecretsCard: useMutation for delete
- AddWorkflowButton, VerifyWorkflowButton: useMutation
- EmailSignupForm, email-waitlist: useMutation
- providers.tsx: enable refetchOnWindowFocus
- Delete usePolling.ts (no remaining consumers)

Made-with: Cursor

* address PR review: squash migrations, rename accountSecrets → dbSecrets

Squash the two separate secrets migrations into a single migration.
Rename the wire format field from accountSecrets to dbSecrets since
it now carries merged account + repo secrets.

Made-with: Cursor

* fix: update proxyKeys.ts imports after cache.ts -> yes package migration

Made-with: Cursor

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-31 05:02:38 +00:00
2026-01-16 08:00:16 +00:00
2026-03-12 05:22:51 +00:00
2025-08-27 16:53:48 -07:00
2026-01-19 08:41:56 +00:00
2026-03-12 05:22:51 +00:00
2026-03-27 16:09:13 +00:00
2026-02-06 07:16:14 +00:00
2026-03-12 05:22:51 +00:00
2026-03-12 05:22:51 +00:00
2026-03-12 05:22:51 +00:00
2026-03-12 05:22:51 +00:00

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Pullfrog

Bring your favorite coding agent into GitHub


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What is Pullfrog?

Pullfrog is a GitHub bot that brings the full power of your favorite coding agents into GitHub. It's open source and powered by GitHub Actions.

  • Tag @pullfrog — Tag @pullfrog in a comment anywhere in your repo. It will pull in any relevant context using the action's internal MCP server and perform the appropriate task.
  • Prompt from the web — Trigger arbitrary tasks from the Pullfrog dashboard
  • Automated triggers — Configure Pullfrog to trigger agent runs in response to specific events. Each of these triggers can be associated with custom prompt instructions.
    • issue created
    • issue labeled
    • PR created
    • PR review created
    • PR review requested
    • and more...

Pullfrog is the bridge between your preferred coding agents and GitHub. Use it for:

  • 🤖 Coding tasks — Tell @pullfrog to implement something and it'll spin up a PR. If CI fails, it'll read the logs and attempt a fix automatically. It'll automatically address any PR reviews too.
  • 🔍 PR review — Coding agents are great at reviewing PRs. Using the "PR created" trigger, you can configure Pullfrog to auto-review new PRs.
  • 🤙 Issue management — Via the "issue created" trigger, Pullfrog can automatically respond to common questions, create implementation plans, and link to related issues/PRs. Or (if you're feeling lucky) you can prompt it to immediately attempt a PR addressing new issues.
  • Literally whatever — Want to have the agent automatically add docs to all new PRs? Cut a new release with agent-written notes on every commit to main? Pullfrog lets you do it.

Standalone Usage

You can also use pullfrog/pullfrog as a step in your own workflows. The action exposes a result output that can be consumed by subsequent steps.

Example: Auto-generate release notes on new tags

name: Release
on:
  push:
    tags: ['v*']

permissions:
  contents: write

jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Generate release notes
        id: notes
        uses: pullfrog/pullfrog@v0
        with:
          prompt: |
            Generate release notes for ${{ github.ref_name }}.
            Compare commits between this tag and the previous tag.
            Format as markdown: summary paragraph, then ### Features, ### Fixes, ### Breaking Changes sections.
            Omit empty sections. Be concise.
        env:
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}

      # write to file to avoid shell escaping issues with special characters
      - name: Create GitHub release
        run: |
          notesfile="$RUNNER_TEMP/release-notes-$GITHUB_RUN_ID.md"
          printf '%s' "$NOTES" > "$notesfile"
          gh release create ${{ github.ref_name }} --title "${{ github.ref_name }}" --notes-file "$notesfile"
        env:
          GH_TOKEN: ${{ github.token }}
          NOTES: ${{ steps.notes.outputs.result }}

Example: Structured Output with Zod Schema

You can force the agent to return structured JSON output by providing a JSON schema. This allows you to reliably parse and use the agent's response in subsequent workflow steps.

You can define your JSON schema directly or uou can use any validation library that converts to JSON Schema. Here's an example using Zod:

name: Release Check
on:
  pull_request:
    types: [closed]

jobs:
  check-release:
    if: github.event.pull_request.merged == true
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Install dependencies
        run: npm install --no-save --no-package-lock zod @actions/core

      - name: Generate Schema
        id: schema
        run: |
          node -e '
            import { z } from "zod";
            import { setOutput } from "@actions/core";
            const schema = z.object({
              version: z.string().describe("Semantic version number (e.g. 1.0.0)"),
              isBreaking: z.boolean().describe("Whether this release contains breaking changes"),
              changelog: z.array(z.string()).describe("List of changes in this release"),
            });
            setOutput("schema", JSON.stringify(z.toJSONSchema(schema)));
          '

      - name: Analyze PR
        id: analysis
        uses: pullfrog/pullfrog@v0
        with:
          prompt: |
            Analyze this PR and determine semantic versioning impact.
            Return a JSON object matching the provided schema.
          output_schema: ${{ steps.schema.outputs.schema }}
        env:
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}

      - name: Process Result
        run: |
          # Parse the JSON result using fromJSON()
          echo "Version: ${{ fromJSON(steps.analysis.outputs.result).version }}"
          echo "Breaking: ${{ fromJSON(steps.analysis.outputs.result).isBreaking }}"
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Description
Self-hosted Ollama-powered code review bot for Gitea Actions based on pullfrog
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