@sentry/core
Version:
Base implementation for all Sentry JavaScript SDKs
190 lines (172 loc) • 6.8 kB
JavaScript
Object.defineProperty(exports, Symbol.toStringTag, { value: 'Module' });
const exports$1 = require('../../exports.js');
const semanticAttributes = require('../../semanticAttributes.js');
const spanstatus = require('../spanstatus.js');
const trace = require('../trace.js');
const genAiAttributes = require('../ai/gen-ai-attributes.js');
const messageTruncation = require('../ai/messageTruncation.js');
const utils$1 = require('../langchain/utils.js');
const constants = require('./constants.js');
const utils = require('./utils.js');
/**
* Instruments StateGraph's compile method to create spans for agent creation and invocation
*
* Wraps the compile() method to:
* - Create a `gen_ai.create_agent` span when compile() is called
* - Automatically wrap the invoke() method on the returned compiled graph with a `gen_ai.invoke_agent` span
*
*/
function instrumentStateGraphCompile(
originalCompile,
options,
) {
return new Proxy(originalCompile, {
apply(target, thisArg, args) {
return trace.startSpan(
{
op: 'gen_ai.create_agent',
name: 'create_agent',
attributes: {
[semanticAttributes.SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN]: constants.LANGGRAPH_ORIGIN,
[semanticAttributes.SEMANTIC_ATTRIBUTE_SENTRY_OP]: 'gen_ai.create_agent',
[genAiAttributes.GEN_AI_OPERATION_NAME_ATTRIBUTE]: 'create_agent',
},
},
span => {
try {
const compiledGraph = Reflect.apply(target, thisArg, args);
const compileOptions = args.length > 0 ? (args[0] ) : {};
// Extract graph name
if (compileOptions?.name && typeof compileOptions.name === 'string') {
span.setAttribute(genAiAttributes.GEN_AI_AGENT_NAME_ATTRIBUTE, compileOptions.name);
span.updateName(`create_agent ${compileOptions.name}`);
}
// Instrument agent invoke method on the compiled graph
const originalInvoke = compiledGraph.invoke;
if (originalInvoke && typeof originalInvoke === 'function') {
compiledGraph.invoke = instrumentCompiledGraphInvoke(
originalInvoke.bind(compiledGraph) ,
compiledGraph,
compileOptions,
options,
) ;
}
return compiledGraph;
} catch (error) {
span.setStatus({ code: spanstatus.SPAN_STATUS_ERROR, message: 'internal_error' });
exports$1.captureException(error, {
mechanism: {
handled: false,
type: 'auto.ai.langgraph.error',
},
});
throw error;
}
},
);
},
}) ;
}
/**
* Instruments CompiledGraph's invoke method to create spans for agent invocation
*
* Creates a `gen_ai.invoke_agent` span when invoke() is called
*/
function instrumentCompiledGraphInvoke(
originalInvoke,
graphInstance,
compileOptions,
options,
) {
return new Proxy(originalInvoke, {
apply(target, thisArg, args) {
return trace.startSpan(
{
op: 'gen_ai.invoke_agent',
name: 'invoke_agent',
attributes: {
[semanticAttributes.SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN]: constants.LANGGRAPH_ORIGIN,
[semanticAttributes.SEMANTIC_ATTRIBUTE_SENTRY_OP]: genAiAttributes.GEN_AI_INVOKE_AGENT_OPERATION_ATTRIBUTE,
[genAiAttributes.GEN_AI_OPERATION_NAME_ATTRIBUTE]: 'invoke_agent',
},
},
async span => {
try {
const graphName = compileOptions?.name;
if (graphName && typeof graphName === 'string') {
span.setAttribute(genAiAttributes.GEN_AI_PIPELINE_NAME_ATTRIBUTE, graphName);
span.setAttribute(genAiAttributes.GEN_AI_AGENT_NAME_ATTRIBUTE, graphName);
span.updateName(`invoke_agent ${graphName}`);
}
// Extract available tools from the graph instance
const tools = utils.extractToolsFromCompiledGraph(graphInstance);
if (tools) {
span.setAttribute(genAiAttributes.GEN_AI_REQUEST_AVAILABLE_TOOLS_ATTRIBUTE, JSON.stringify(tools));
}
// Parse input messages
const recordInputs = options.recordInputs;
const recordOutputs = options.recordOutputs;
const inputMessages =
args.length > 0 ? ((args[0] ).messages ?? []) : [];
if (inputMessages && recordInputs) {
const normalizedMessages = utils$1.normalizeLangChainMessages(inputMessages);
const truncatedMessages = messageTruncation.truncateGenAiMessages(normalizedMessages);
span.setAttribute(genAiAttributes.GEN_AI_REQUEST_MESSAGES_ATTRIBUTE, JSON.stringify(truncatedMessages));
}
// Call original invoke
const result = await Reflect.apply(target, thisArg, args);
// Set response attributes
if (recordOutputs) {
utils.setResponseAttributes(span, inputMessages ?? null, result);
}
return result;
} catch (error) {
span.setStatus({ code: spanstatus.SPAN_STATUS_ERROR, message: 'internal_error' });
exports$1.captureException(error, {
mechanism: {
handled: false,
type: 'auto.ai.langgraph.error',
},
});
throw error;
}
},
);
},
}) ;
}
/**
* Directly instruments a StateGraph instance to add tracing spans
*
* This function can be used to manually instrument LangGraph StateGraph instances
* in environments where automatic instrumentation is not available or desired.
*
* @param stateGraph - The StateGraph instance to instrument
* @param options - Optional configuration for recording inputs/outputs
*
* @example
* ```typescript
* import { instrumentLangGraph } from '@sentry/cloudflare';
* import { StateGraph } from '@langchain/langgraph';
*
* const graph = new StateGraph(MessagesAnnotation)
* .addNode('agent', mockLlm)
* .addEdge(START, 'agent')
* .addEdge('agent', END);
*
* instrumentLangGraph(graph, { recordInputs: true, recordOutputs: true });
* const compiled = graph.compile({ name: 'my_agent' });
* ```
*/
// eslint-disable-next-line @typescript-eslint/no-explicit-any
function instrumentLangGraph(
stateGraph,
options,
) {
const _options = options || {};
stateGraph.compile = instrumentStateGraphCompile(stateGraph.compile.bind(stateGraph), _options);
return stateGraph;
}
exports.instrumentLangGraph = instrumentLangGraph;
exports.instrumentStateGraphCompile = instrumentStateGraphCompile;
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