build index.js
This commit is contained in:
Maarten van Diemen
@@ -210,7 +210,6 @@ steps:
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**Available toolsets:**
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See: https://github.com/github/github-mcp-server/blob/main/README.md#tool-configuration
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When MCP is enabled, the AI model will have access to GitHub tools and can
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perform actions like searching issues and PRs.
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@@ -219,20 +218,20 @@ perform actions like searching issues and PRs.
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Various inputs are defined in [`action.yml`](action.yml) to let you configure
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the action:
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| Name | Description | Default |
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| -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
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| `token` | Token to use for inference. Typically the GITHUB_TOKEN secret | `github.token` |
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| `prompt` | The prompt to send to the model | N/A |
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| `prompt-file` | Path to a file containing the prompt (supports .txt and .prompt.yml formats). If both `prompt` and `prompt-file` are provided, `prompt-file` takes precedence | `""` |
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| `input` | Template variables in YAML format for .prompt.yml files (e.g., `var1: value1` on separate lines) | `""` |
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| `file_input` | Template variables in YAML where values are file paths. The file contents are read and used for templating | `""` |
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| `system-prompt` | The system prompt to send to the model | `"You are a helpful assistant"` |
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| `system-prompt-file` | Path to a file containing the system prompt. If both `system-prompt` and `system-prompt-file` are provided, `system-prompt-file` takes precedence | `""` |
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| `model` | The model to use for inference. Must be available in the [GitHub Models](https://github.com/marketplace?type=models) catalog | `openai/gpt-4o` |
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| `endpoint` | The endpoint to use for inference. If you're running this as part of an org, you should probably use the org-specific Models endpoint | `https://models.github.ai/inference` |
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| `max-tokens` | The max number of tokens to generate | 200 |
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| `enable-github-mcp` | Enable Model Context Protocol integration with GitHub tools | `false` |
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| `github-mcp-token` | Token to use for GitHub MCP server (defaults to the main token if not specified). This must be a PAT for MCP to work | `""` |
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| Name | Description | Default |
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| --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
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| `token` | Token to use for inference. Typically the GITHUB_TOKEN secret | `github.token` |
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| `prompt` | The prompt to send to the model | N/A |
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| `prompt-file` | Path to a file containing the prompt (supports .txt and .prompt.yml formats). If both `prompt` and `prompt-file` are provided, `prompt-file` takes precedence | `""` |
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| `input` | Template variables in YAML format for .prompt.yml files (e.g., `var1: value1` on separate lines) | `""` |
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| `file_input` | Template variables in YAML where values are file paths. The file contents are read and used for templating | `""` |
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| `system-prompt` | The system prompt to send to the model | `"You are a helpful assistant"` |
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| `system-prompt-file` | Path to a file containing the system prompt. If both `system-prompt` and `system-prompt-file` are provided, `system-prompt-file` takes precedence | `""` |
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| `model` | The model to use for inference. Must be available in the [GitHub Models](https://github.com/marketplace?type=models) catalog | `openai/gpt-4o` |
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| `endpoint` | The endpoint to use for inference. If you're running this as part of an org, you should probably use the org-specific Models endpoint | `https://models.github.ai/inference` |
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| `max-tokens` | The max number of tokens to generate | 200 |
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| `enable-github-mcp` | Enable Model Context Protocol integration with GitHub tools | `false` |
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| `github-mcp-token` | Token to use for GitHub MCP server (defaults to the main token if not specified). This must be a PAT for MCP to work | `""` |
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| `github-mcp-toolsets` | Comma-separated list of toolsets to enable for GitHub MCP (e.g., `repos,issues,pull_requests,actions`). Use `all` for all toolsets or `default` for the default set | `""` |
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## Outputs
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+16
-6
@@ -42717,15 +42717,24 @@ class StreamableHTTPClientTransport {
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/**
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* Connect to the GitHub MCP server and retrieve available tools
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*/
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async function connectToGitHubMCP(token) {
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async function connectToGitHubMCP(token, toolsets) {
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const githubMcpUrl = 'https://api.githubcopilot.com/mcp/';
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coreExports.info('Connecting to GitHub MCP server...');
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const headers = {
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Authorization: `Bearer ${token}`,
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'X-MCP-Readonly': 'true',
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};
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// Add toolsets header if specified
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if (toolsets && toolsets.trim() !== '') {
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headers['X-MCP-Toolsets'] = toolsets;
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coreExports.info(`Using GitHub MCP toolsets: ${toolsets}`);
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}
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else {
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coreExports.info('Using default GitHub MCP toolsets');
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}
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const transport = new StreamableHTTPClientTransport(new URL(githubMcpUrl), {
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requestInit: {
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headers: {
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Authorization: `Bearer ${token}`,
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'X-MCP-Readonly': 'true',
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},
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headers,
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},
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});
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const client = new Client({
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@@ -52642,13 +52651,14 @@ async function run() {
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}
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// Get GitHub MCP token (use dedicated token if provided, otherwise fall back to main token)
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const githubMcpToken = coreExports.getInput('github-mcp-token') || token;
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const githubMcpToolsets = coreExports.getInput('github-mcp-toolsets');
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const endpoint = coreExports.getInput('endpoint');
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// Build the inference request with pre-processed messages and response format
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const inferenceRequest = buildInferenceRequest(promptConfig, systemPrompt, prompt, modelName, maxTokens, endpoint, token);
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const enableMcp = coreExports.getBooleanInput('enable-github-mcp') || false;
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let modelResponse = null;
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if (enableMcp) {
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const mcpClient = await connectToGitHubMCP(githubMcpToken);
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const mcpClient = await connectToGitHubMCP(githubMcpToken, githubMcpToolsets);
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if (mcpClient) {
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modelResponse = await mcpInference(inferenceRequest, mcpClient);
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}
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