{"version":3,"file":"index.js","sources":["../../../../../src/integrations/tracing/langgraph/index.ts"],"sourcesContent":["import type { IntegrationFn, LangGraphOptions } from '@sentry/core';\nimport { defineIntegration, LANGGRAPH_INTEGRATION_NAME } from '@sentry/core';\nimport { generateInstrumentOnce } from '@sentry/node-core';\nimport { SentryLangGraphInstrumentation } from './instrumentation';\n\nexport const instrumentLangGraph = generateInstrumentOnce<LangGraphOptions>(\n  LANGGRAPH_INTEGRATION_NAME,\n  options => new SentryLangGraphInstrumentation(options),\n);\n\nconst _langGraphIntegration = ((options: LangGraphOptions = {}) => {\n  return {\n    name: LANGGRAPH_INTEGRATION_NAME,\n    setupOnce() {\n      instrumentLangGraph(options);\n    },\n  };\n}) satisfies IntegrationFn;\n\n/**\n * Adds Sentry tracing instrumentation for LangGraph.\n *\n * This integration is enabled by default.\n *\n * When configured, this integration automatically instruments LangGraph StateGraph and compiled graph instances\n * to capture telemetry data following OpenTelemetry Semantic Conventions for Generative AI.\n *\n * @example\n * ```javascript\n * import * as Sentry from '@sentry/node';\n *\n * Sentry.init({\n *   integrations: [Sentry.langGraphIntegration()],\n * });\n * ```\n *\n * ## Options\n *\n * - `recordInputs`: Whether to record prompt messages (default: follows `sendDefaultPii` or `dataCollection.genAI.inputs`)\n * - `recordOutputs`: Whether to record response text (default: follows `sendDefaultPii` or `dataCollection.genAI.outputs`)\n *\n * ### Default Behavior\n *\n * By default, the integration will:\n * - Record inputs and outputs based on `sendDefaultPii` or `dataCollection.genAI` in your Sentry client options\n * - Integration-level `recordInputs`/`recordOutputs` options take precedence over global config\n *\n * @example\n * ```javascript\n * // Always record inputs and outputs regardless of global dataCollection config\n * Sentry.init({\n *   integrations: [\n *     Sentry.langGraphIntegration({\n *       recordInputs: true,\n *       recordOutputs: true\n *     })\n *   ],\n * });\n *\n * // Never record inputs/outputs regardless of global dataCollection config\n * Sentry.init({\n *   dataCollection: { genAI: { inputs: true, outputs: true } },\n *   integrations: [\n *     Sentry.langGraphIntegration({\n *       recordInputs: false,\n *       recordOutputs: false\n *     })\n *   ],\n * });\n * ```\n *\n * ## Captured Operations\n *\n * The integration captures the following LangGraph operations:\n * - **Agent Creation** (`StateGraph.compile()`) - Creates a `gen_ai.create_agent` span\n * - **Agent Invocation** (`CompiledGraph.invoke()`) - Creates a `gen_ai.invoke_agent` span\n *\n * ## Captured Data\n *\n * When `recordInputs` and `recordOutputs` are enabled, the integration captures:\n * - Input messages from the graph state\n * - Output messages and LLM responses\n * - Tool calls made during agent execution\n * - Agent and graph names\n * - Available tools configured in the graph\n *\n */\nexport const langGraphIntegration = defineIntegration(_langGraphIntegration);\n"],"names":[],"mappings":";;;;AAKO,MAAM,mBAAA,GAAsB,sBAAA;AAAA,EACjC,0BAAA;AAAA,EACA,CAAA,OAAA,KAAW,IAAI,8BAAA,CAA+B,OAAO;AACvD;AAEA,MAAM,qBAAA,IAAyB,CAAC,OAAA,GAA4B,EAAC,KAAM;AACjE,EAAA,OAAO;AAAA,IACL,IAAA,EAAM,0BAAA;AAAA,IACN,SAAA,GAAY;AACV,MAAA,mBAAA,CAAoB,OAAO,CAAA;AAAA,IAC7B;AAAA,GACF;AACF,CAAA,CAAA;AAsEO,MAAM,oBAAA,GAAuB,kBAAkB,qBAAqB;;;;"}