mirror of
https://github.com/0xrsydn/nix-hermes-agent.git
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77 lines
3 KiB
YAML
77 lines
3 KiB
YAML
# PULLFROG ACTION — DO NOT EDIT EXCEPT WHERE INDICATED
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name: Pullfrog
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run-name: ${{ inputs.name || github.workflow }}
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on:
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workflow_dispatch:
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inputs:
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prompt:
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type: string
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description: Agent prompt
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name:
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type: string
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description: Run name
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permissions:
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contents: read
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jobs:
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pullfrog:
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runs-on: ubuntu-latest
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permissions:
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id-token: write
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contents: read
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steps:
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- name: Checkout code
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uses: actions/checkout@v6
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with:
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fetch-depth: 1
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- name: Run agent
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uses: pullfrog/pullfrog@v0
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with:
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prompt: ${{ inputs.prompt }}
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env:
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# add at least one provider API key
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ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
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CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
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OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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GOOGLE_GENERATIVE_AI_API_KEY:
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${{ secrets.GOOGLE_GENERATIVE_AI_API_KEY }}
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GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
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XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
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DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
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MOONSHOT_API_KEY: ${{ secrets.MOONSHOT_API_KEY }}
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OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
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OPENCODE_API_KEY: ${{ secrets.OPENCODE_API_KEY }}
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# for Amazon Bedrock (https://docs.pullfrog.com/bedrock)
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# AWS_BEARER_TOKEN_BEDROCK: ${{ secrets.AWS_BEARER_TOKEN_BEDROCK }}
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# AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
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# AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
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# AWS_REGION: us-east-1
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# BEDROCK_MODEL_ID: <bedrock-model-id>
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# for Google Vertex AI (https://docs.pullfrog.com/vertex)
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# VERTEX_SERVICE_ACCOUNT_JSON: >-
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# ${{ secrets.VERTEX_SERVICE_ACCOUNT_JSON }}
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# GOOGLE_CLOUD_PROJECT: my-project
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# VERTEX_LOCATION: global
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# VERTEX_MODEL_ID: <vertex-model-id>
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# for Azure OpenAI (https://docs.pullfrog.com/azure)
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# AZURE_RESOURCE_NAME is the <name> in https://<name>.openai.azure.com
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# AZURE_DEPLOYMENT is your deployment's name, not the model it serves
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# AZURE_RESOURCE_NAME: my-resource
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# AZURE_API_KEY: ${{ secrets.AZURE_API_KEY }}
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# AZURE_DEPLOYMENT: <deployment-name>
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# both limits are required — set them to the real limits of that model
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# AZURE_CONTEXT: "400000"
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# AZURE_MAX_OUTPUT: "128000"
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# for any OpenAI-compatible endpoint — LiteLLM, Cloudflare AI Gateway,
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# self-hosted vLLM (https://docs.pullfrog.com/openai-compatible)
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# OPENAI_COMPATIBLE_BASE_URL: https://litellm.example.com/v1
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# OPENAI_COMPATIBLE_API_KEY: ${{ secrets.OPENAI_COMPATIBLE_API_KEY }}
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# OPENAI_COMPATIBLE_MODEL: <model-id>
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# both limits are required — set them to the real limits of that model
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# OPENAI_COMPATIBLE_CONTEXT: "128000"
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# OPENAI_COMPATIBLE_MAX_OUTPUT: "16384"
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