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feat(core): Instrument LangGraph Agent#18114
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10 changes: 10 additions & 0 deletions
10 dev-packages/node-integration-tests/suites/tracing/langgraph/instrument-with-pii.mjs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,10 @@ | ||
| import * as Sentry from '@sentry/node'; | ||
| import { loggingTransport } from '@sentry-internal/node-integration-tests'; | ||
| Sentry.init({ | ||
| dsn: 'https://public@dsn.ingest.sentry.io/1337', | ||
| release: '1.0', | ||
| tracesSampleRate: 1.0, | ||
| sendDefaultPii: true, | ||
| transport: loggingTransport, | ||
| }); |
10 changes: 10 additions & 0 deletions
10 dev-packages/node-integration-tests/suites/tracing/langgraph/instrument.mjs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,10 @@ | ||
| import * as Sentry from '@sentry/node'; | ||
| import { loggingTransport } from '@sentry-internal/node-integration-tests'; | ||
| Sentry.init({ | ||
| dsn: 'https://public@dsn.ingest.sentry.io/1337', | ||
| release: '1.0', | ||
| tracesSampleRate: 1.0, | ||
| sendDefaultPii: false, | ||
| transport: loggingTransport, | ||
| }); |
164 changes: 164 additions & 0 deletions
164 dev-packages/node-integration-tests/suites/tracing/langgraph/scenario-tools.mjs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,164 @@ | ||
| import { tool } from '@langchain/core/tools'; | ||
| import { END, MessagesAnnotation, START, StateGraph } from '@langchain/langgraph'; | ||
| import { ToolNode } from '@langchain/langgraph/prebuilt'; | ||
| import * as Sentry from '@sentry/node'; | ||
| import { z } from 'zod'; | ||
| async function run() { | ||
| await Sentry.startSpan({ op: 'function', name: 'langgraph-tools-test' }, async () => { | ||
| // Define tools | ||
| const getWeatherTool = tool( | ||
| async ({ city }) => { | ||
| return JSON.stringify({ city, temperature: 72, condition: 'sunny' }); | ||
| }, | ||
| { | ||
| name: 'get_weather', | ||
| description: 'Get the current weather for a given city', | ||
| schema: z.object({ | ||
| city: z.string().describe('The city to get weather for'), | ||
| }), | ||
| }, | ||
| ); | ||
| const getTimeTool = tool( | ||
| async () => { | ||
| return new Date().toISOString(); | ||
| }, | ||
| { | ||
| name: 'get_time', | ||
| description: 'Get the current time', | ||
| schema: z.object({}), | ||
| }, | ||
| ); | ||
| const tools = [getWeatherTool, getTimeTool]; | ||
| const toolNode = new ToolNode(tools); | ||
| // Define mock LLM function that returns without tool calls | ||
| const mockLlm = () => { | ||
| return { | ||
| messages: [ | ||
| { | ||
| role: 'assistant', | ||
| content: 'Response without calling tools', | ||
| response_metadata: { | ||
| model_name: 'gpt-4-0613', | ||
| finish_reason: 'stop', | ||
| tokenUsage: { | ||
| promptTokens: 25, | ||
| completionTokens: 15, | ||
| totalTokens: 40, | ||
| }, | ||
| }, | ||
| tool_calls: [], | ||
| }, | ||
| ], | ||
| }; | ||
| }; | ||
| // Routing function - check if there are tool calls | ||
| const shouldContinue = state => { | ||
| const messages = state.messages; | ||
| const lastMessage = messages[messages.length - 1]; | ||
| // If the last message has tool_calls, route to tools, otherwise end | ||
| if (lastMessage.tool_calls && lastMessage.tool_calls.length > 0) { | ||
| return 'tools'; | ||
| } | ||
| return END; | ||
| }; | ||
| // Create graph with conditional edge to tools | ||
| const graph = new StateGraph(MessagesAnnotation) | ||
| .addNode('agent', mockLlm) | ||
| .addNode('tools', toolNode) | ||
| .addEdge(START, 'agent') | ||
| .addConditionalEdges('agent', shouldContinue, { | ||
| tools: 'tools', | ||
| [END]: END, | ||
| }) | ||
| .addEdge('tools', 'agent') | ||
| .compile({ name: 'tool_agent' }); | ||
| // Simple invocation - won't call tools since mockLlm returns empty tool_calls | ||
| await graph.invoke({ | ||
| messages: [{ role: 'user', content: 'What is the weather?' }], | ||
| }); | ||
| // Define mock LLM function that returns with tool calls | ||
| let callCount = 0; | ||
| const mockLlmWithTools = () => { | ||
| callCount++; | ||
| // First call - return tool calls | ||
| if (callCount === 1) { | ||
| return { | ||
| messages: [ | ||
| { | ||
| role: 'assistant', | ||
| content: '', | ||
| response_metadata: { | ||
| model_name: 'gpt-4-0613', | ||
| finish_reason: 'tool_calls', | ||
| tokenUsage: { | ||
| promptTokens: 30, | ||
| completionTokens: 20, | ||
| totalTokens: 50, | ||
| }, | ||
| }, | ||
| tool_calls: [ | ||
| { | ||
| name: 'get_weather', | ||
| args: { city: 'San Francisco' }, | ||
| id: 'call_123', | ||
| type: 'tool_call', | ||
| }, | ||
| ], | ||
| }, | ||
| ], | ||
| }; | ||
| } | ||
| // Second call - return final response after tool execution | ||
| return { | ||
| messages: [ | ||
| { | ||
| role: 'assistant', | ||
| content: 'Based on the weather data, it is sunny and 72 degrees in San Francisco.', | ||
| response_metadata: { | ||
| model_name: 'gpt-4-0613', | ||
| finish_reason: 'stop', | ||
| tokenUsage: { | ||
| promptTokens: 50, | ||
| completionTokens: 20, | ||
| totalTokens: 70, | ||
| }, | ||
| }, | ||
| tool_calls: [], | ||
| }, | ||
| ], | ||
| }; | ||
| }; | ||
| // Create graph with tool calls enabled | ||
| const graphWithTools = new StateGraph(MessagesAnnotation) | ||
| .addNode('agent', mockLlmWithTools) | ||
| .addNode('tools', toolNode) | ||
| .addEdge(START, 'agent') | ||
| .addConditionalEdges('agent', shouldContinue, { | ||
| tools: 'tools', | ||
| [END]: END, | ||
| }) | ||
| .addEdge('tools', 'agent') | ||
| .compile({ name: 'tool_calling_agent' }); | ||
| // Invocation that actually calls tools | ||
| await graphWithTools.invoke({ | ||
| messages: [{ role: 'user', content: 'What is the weather in San Francisco?' }], | ||
| }); | ||
| }); | ||
| await Sentry.flush(2000); | ||
| } | ||
| run(); | ||
52 changes: 52 additions & 0 deletions
52 dev-packages/node-integration-tests/suites/tracing/langgraph/scenario.mjs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,52 @@ | ||
| import { END, MessagesAnnotation, START, StateGraph } from '@langchain/langgraph'; | ||
| import * as Sentry from '@sentry/node'; | ||
| async function run() { | ||
| await Sentry.startSpan({ op: 'function', name: 'langgraph-test' }, async () => { | ||
| // Define a simple mock LLM function | ||
| const mockLlm = () => { | ||
| return { | ||
| messages: [ | ||
| { | ||
| role: 'assistant', | ||
| content: 'Mock LLM response', | ||
| response_metadata: { | ||
| model_name: 'mock-model', | ||
| finish_reason: 'stop', | ||
| tokenUsage: { | ||
| promptTokens: 20, | ||
| completionTokens: 10, | ||
| totalTokens: 30, | ||
| }, | ||
| }, | ||
| }, | ||
| ], | ||
| }; | ||
| }; | ||
| // Create and compile the graph | ||
| const graph = new StateGraph(MessagesAnnotation) | ||
| .addNode('agent', mockLlm) | ||
| .addEdge(START, 'agent') | ||
| .addEdge('agent', END) | ||
| .compile({ name: 'weather_assistant' }); | ||
| // Test: basic invocation | ||
| await graph.invoke({ | ||
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| messages: [{ role: 'user', content: 'What is the weather today?' }], | ||
| }); | ||
| // Test: invocation with multiple messages | ||
| await graph.invoke({ | ||
| messages: [ | ||
| { role: 'user', content: 'Hello' }, | ||
| { role: 'assistant', content: 'Hi there!' }, | ||
| { role: 'user', content: 'Tell me about the weather' }, | ||
| ], | ||
| }); | ||
| }); | ||
| await Sentry.flush(2000); | ||
| } | ||
| run(); | ||
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