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| 1 | +/** |
| 2 | + * Example demonstrating Code Execution Middleware with additional tools. |
| 3 | + * |
| 4 | + * This example shows how to combine code execution capabilities with custom tools |
| 5 | + * that can access files generated by code execution. The example creates an |
| 6 | + * email_file tool that reads files from the agent's workspace and demonstrates |
| 7 | + * how tools can interact with code execution outputs. |
| 8 | + */ |
| 9 | + |
| 10 | +import { ChatAnthropic } from "@langchain/anthropic"; |
| 11 | +import { AnthropicContainerProvider } from "@langchain/anthropic/middleware"; |
| 12 | +import { HumanMessage } from "@langchain/core/messages"; |
| 13 | +import { getCurrentTaskInput } from "@langchain/langgraph"; |
| 14 | +import { |
| 15 | + codeExecutionMiddleware, |
| 16 | + createAgent, |
| 17 | + MemoryFileProvider, |
| 18 | + tool, |
| 19 | + type CodeExecutionMiddlewareState, |
| 20 | +} from "langchain"; |
| 21 | +import fs from "node:fs/promises"; |
| 22 | +import { z } from "zod"; |
| 23 | + |
| 24 | +// Initial setup |
| 25 | +const model = new ChatAnthropic({ |
| 26 | + model: "claude-sonnet-4-5-20250929", |
| 27 | +}); |
| 28 | + |
| 29 | +const middleware = codeExecutionMiddleware( |
| 30 | + new AnthropicContainerProvider(), |
| 31 | + new MemoryFileProvider() |
| 32 | +); |
| 33 | + |
| 34 | +const emailTool = tool( |
| 35 | + async ({ path }, config) => { |
| 36 | + // Access the current agent state using getCurrentTaskInput |
| 37 | + const state = getCurrentTaskInput<CodeExecutionMiddlewareState>(config); |
| 38 | + |
| 39 | + // Find the file using the middleware's files method |
| 40 | + const file = middleware.files(state).find((f) => f.path === path); |
| 41 | + |
| 42 | + if (!file) { |
| 43 | + return `Error: File not found at path: ${path}`; |
| 44 | + } |
| 45 | + |
| 46 | + // Get the file content |
| 47 | + const content = await file.getContent(); |
| 48 | + |
| 49 | + // Simulate emailing the file |
| 50 | + console.log("Pretending to email file with content:"); |
| 51 | + console.log(content.toString()); |
| 52 | + |
| 53 | + return `Successfully emailed file: ${path}`; |
| 54 | + }, |
| 55 | + { |
| 56 | + name: "email_file", |
| 57 | + description: |
| 58 | + "Email a file by providing its path. The file must exist in the agent's workspace.", |
| 59 | + schema: z.object({ |
| 60 | + path: z.string().describe("The path to the file to email"), |
| 61 | + }), |
| 62 | + } |
| 63 | +); |
| 64 | + |
| 65 | +const agent = createAgent({ |
| 66 | + model, |
| 67 | + middleware: [middleware], |
| 68 | + tools: [emailTool], |
| 69 | +}); |
| 70 | + |
| 71 | +// Read and add the test data file |
| 72 | +const testDataPath = "test_data.csv"; |
| 73 | +const fileContent = await fs.readFile(testDataPath); |
| 74 | + |
| 75 | +await agent.invoke({ |
| 76 | + messages: new HumanMessage( |
| 77 | + "Turn this into a markdown file with a table and then email it." |
| 78 | + ), |
| 79 | + files: [await middleware.addFile(testDataPath, fileContent)], |
| 80 | +}); |
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