pullfrog.yml

# PULLFROG ACTION — DO NOT EDIT EXCEPT WHERE INDICATED
name: Pullfrog
run-name: ${{ inputs.name || github.workflow }}
on:
  workflow_dispatch:
    inputs:
      prompt:
        type: string
        description: Agent prompt
      name:
        type: string
        description: Run name

permissions:
  contents: read

jobs:
  pullfrog:
    runs-on: ubuntu-latest
    permissions:
      id-token: write
      contents: read
    steps:
      - name: Checkout code
        uses: actions/checkout@v6
        with:
          fetch-depth: 1
      # Console Mode: .NET 8 so the agent can run the unit tests (tests/ConsoleMode.Tests
      # targets plain net8.0). The WinUI app itself only builds on Windows: the CI workflow does that.
      - name: Setup .NET
        uses: actions/setup-dotnet@v4
        with:
          dotnet-version: "8.0.x"
      - name: Run agent
        uses: pullfrog/pullfrog@v0
        with:
          prompt: ${{ inputs.prompt }}
          # Console Mode: feature branches only (no pushes to main, no tag pushes: a v* tag publishes a release).
          push: restricted
          timeout: 30m
          # To use Claude, add ANTHROPIC_API_KEY (Actions secret or Pullfrog console) and uncomment:
          # model: anthropic/claude-opus
        env:
          # add at least one provider API key
          ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
          CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
          GOOGLE_GENERATIVE_AI_API_KEY:
            ${{ secrets.GOOGLE_GENERATIVE_AI_API_KEY }}
          GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
          XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
          DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
          MOONSHOT_API_KEY: ${{ secrets.MOONSHOT_API_KEY }}
          KIMI_API_KEY: ${{ secrets.KIMI_API_KEY }}
          META_MODEL_API_KEY: ${{ secrets.META_MODEL_API_KEY }}
          OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
          AI_GATEWAY_API_KEY: ${{ secrets.AI_GATEWAY_API_KEY }}
          OPENCODE_API_KEY: ${{ secrets.OPENCODE_API_KEY }}
          
          # for Amazon Bedrock (https://docs.pullfrog.com/bedrock)
          # AWS_BEARER_TOKEN_BEDROCK: ${{ secrets.AWS_BEARER_TOKEN_BEDROCK }}
          # AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
          # AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          # AWS_REGION: us-east-1
          # BEDROCK_MODEL_ID: <bedrock-model-id>
          
          # for Google Vertex AI (https://docs.pullfrog.com/vertex)
          # VERTEX_SERVICE_ACCOUNT_JSON: >-
          #   ${{ secrets.VERTEX_SERVICE_ACCOUNT_JSON }}
          # GOOGLE_CLOUD_PROJECT: my-project
          # VERTEX_LOCATION: global
          # VERTEX_MODEL_ID: <vertex-model-id>

          # for Azure OpenAI (https://docs.pullfrog.com/azure)
          # AZURE_RESOURCE_NAME is the <name> in https://<name>.openai.azure.com
          # AZURE_DEPLOYMENT is your deployment's name, not the model it serves
          # AZURE_RESOURCE_NAME: my-resource
          # AZURE_API_KEY: ${{ secrets.AZURE_API_KEY }}
          # AZURE_DEPLOYMENT: <deployment-name>
          # both limits are required — set them to the real limits of that model
          # AZURE_CONTEXT: "400000"
          # AZURE_MAX_OUTPUT: "128000"

          # for any OpenAI-compatible endpoint — LiteLLM, Cloudflare AI Gateway,
          # self-hosted vLLM (https://docs.pullfrog.com/openai-compatible)
          # OPENAI_COMPATIBLE_BASE_URL: https://litellm.example.com/v1
          # OPENAI_COMPATIBLE_API_KEY: ${{ secrets.OPENAI_COMPATIBLE_API_KEY }}
          # OPENAI_COMPATIBLE_MODEL: <model-id>
          # both limits are required — set them to the real limits of that model
          # OPENAI_COMPATIBLE_CONTEXT: "128000"
          # OPENAI_COMPATIBLE_MAX_OUTPUT: "16384"