import { type Options, query, type SDKMessage } from "@anthropic-ai/claude-agent-sdk"; import packageJson from "../package.json" with { type: "json" }; import { log } from "../utils/cli.ts"; import { addInstructions } from "./instructions.ts"; import { agent, createAgentEnv, installFromNpmTarball } from "./shared.ts"; export const claude = agent({ name: "claude", install: async () => { const versionRange = packageJson.dependencies["@anthropic-ai/claude-agent-sdk"] || "latest"; return await installFromNpmTarball({ packageName: "@anthropic-ai/claude-agent-sdk", version: versionRange, executablePath: "cli.js", }); }, run: async ({ payload, mcpServers, apiKey, cliPath, repo }) => { // Ensure API key is NOT in process.env - only pass via SDK's env option delete process.env.ANTHROPIC_API_KEY; const prompt = addInstructions({ payload, repo }); log.group("Full prompt", () => log.info(prompt)); // configure sandbox mode if enabled const sandboxOptions: Options = payload.sandbox ? { permissionMode: "default", disallowedTools: ["Bash", "WebSearch", "WebFetch", "Write"], async canUseTool(toolName, input, _options) { if (toolName.startsWith("mcp__gh_pullfrog__")) return { behavior: "allow", updatedInput: input, updatedPermissions: [], }; console.error("can i use this tool?", toolName); return { behavior: "deny", message: "You are not allowed to use this tool.", }; }, } : { permissionMode: "bypassPermissions" as const, }; if (payload.sandbox) { log.info("🔒 sandbox mode enabled: restricting to read-only operations"); } // Pass secrets via SDK's env option only (not process.env) // This ensures secrets are only available to Claude Code subprocess, not user code const queryInstance = query({ prompt, options: { ...sandboxOptions, mcpServers, model: "claude-opus-4-5", pathToClaudeCodeExecutable: cliPath, env: createAgentEnv({ ANTHROPIC_API_KEY: apiKey }), }, }); // Stream the results for await (const message of queryInstance) { log.debug(JSON.stringify(message, null, 2)); const handler = messageHandlers[message.type]; await handler(message as never); } return { success: true, output: "", }; }, }); type SDKMessageType = SDKMessage["type"]; type SDKMessageHandler = ( data: Extract ) => void | Promise; type SDKMessageHandlers = { [type in SDKMessageType]: SDKMessageHandler; }; // Track bash tool IDs to identify when bash tool results come back const bashToolIds = new Set(); const messageHandlers: SDKMessageHandlers = { assistant: (data) => { if (data.message?.content) { for (const content of data.message.content) { if (content.type === "text" && content.text?.trim()) { log.box(content.text.trim(), { title: "Claude" }); } else if (content.type === "tool_use") { // Track bash tool IDs if (content.name === "bash" && content.id) { bashToolIds.add(content.id); } log.toolCall({ toolName: content.name, input: content.input, }); } } } }, user: (data) => { if (data.message?.content) { for (const content of data.message.content) { if (content.type === "tool_result") { const toolUseId = (content as any).tool_use_id; const isBashTool = toolUseId && bashToolIds.has(toolUseId); if (isBashTool) { // Log bash output in a collapsed group const outputContent = typeof content.content === "string" ? content.content : Array.isArray(content.content) ? content.content .map((c: any) => (typeof c === "string" ? c : c.text || JSON.stringify(c))) .join("\n") : String(content.content); log.startGroup(`bash output`); if (content.is_error) { log.warning(outputContent); } else { log.info(outputContent); } log.endGroup(); // Clean up the tracked ID bashToolIds.delete(toolUseId); } else if (content.is_error) { const errorContent = typeof content.content === "string" ? content.content : String(content.content); log.warning(`Tool error: ${errorContent}`); } } } } }, result: async (data) => { log.debug(JSON.stringify(data, null, 2)); if (data.subtype === "success") { await log.summaryTable([ [ { data: "Cost", header: true }, { data: "Input Tokens", header: true }, { data: "Output Tokens", header: true }, ], [ `$${data.total_cost_usd?.toFixed(4) || "0.0000"}`, String(data.usage?.input_tokens || 0), String(data.usage?.output_tokens || 0), ], ]); } else if (data.subtype === "error_max_turns") { log.error(`Max turns reached: ${JSON.stringify(data)}`); } else if (data.subtype === "error_during_execution") { log.error(`Execution error: ${JSON.stringify(data)}`); } else { log.error(`Failed: ${JSON.stringify(data)}`); } }, system: () => {}, stream_event: () => {}, tool_progress: () => {}, auth_status: () => {}, };