189 lines
8.7 KiB
JavaScript
189 lines
8.7 KiB
JavaScript
// Module ID: 953
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// Function ID: 10321
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// Name: createLangChainCallbackHandler
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// Dependencies: []
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// Exports: createLangChainCallbackHandler
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// Module 953 (createLangChainCallbackHandler)
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let closure_2 = require(dependencyMap[0]);
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Object.defineProperty(exports, Symbol.toStringTag, { value: "Module" });
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export const createLangChainCallbackHandler = function createLangChainCallbackHandler() {
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if (arguments.length > 0) {
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if (undefined !== arguments[0]) {
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let first = arguments[0];
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}
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const recordInputs = first.recordInputs;
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let closure_0 = null != recordInputs && recordInputs;
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const recordOutputs = first.recordOutputs;
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let closure_1 = null != recordOutputs && recordOutputs;
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const _Map = Map;
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const map = new Map();
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let closure_2 = map;
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function exitSpan(arg0) {
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const value = map.get(arg0);
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if (tmp) {
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value.end();
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map.delete(arg0);
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}
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}
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const obj = {
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lc_serializable: false,
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lc_namespace: [0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000002086372745151437, 3513992059317315000000000000000, 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000226281143221237],
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lc_secrets: undefined,
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lc_attributes: undefined,
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lc_aliases: undefined,
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lc_serializable_keys: undefined,
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lc_id: [0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000002086372745151437, 3513992059317315000000000000000, 0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000226281143221237],
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lc_kwargs: {},
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name: "SentryCallbackHandler",
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ignoreLLM: false,
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ignoreChain: false,
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ignoreAgent: false,
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ignoreRetriever: false,
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ignoreCustomEvent: false,
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raiseError: false,
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awaitHandlers: true,
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handleLLMStart(arg0, arr, closure_0, arg3, arg4, invocation_params, ls_provider) {
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const callback = closure_0;
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let obj = callback(closure_1[1]);
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const invocationParams = obj.getInvocationParams(invocation_params);
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const result = callback(closure_1[1]).extractLLMRequestAttributes(arg0, arr, callback, invocationParams, ls_provider);
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const obj2 = callback(closure_1[1]);
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obj = { name: "" + result[closure_0(undefined, closure_1[2]).GEN_AI_OPERATION_NAME_ATTRIBUTE] + " " + result[closure_0(undefined, closure_1[2]).GEN_AI_REQUEST_MODEL_ATTRIBUTE], op: "gen_ai.pipeline", attributes: Object.assign({}, result, map({}, callback(closure_1[4]).SEMANTIC_ATTRIBUTE_SENTRY_OP, "gen_ai.pipeline")) };
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callback(closure_1[3]).startSpanManual(obj, (arg0) => {
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const result = closure_2.set(arg2, arg0);
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return arg0;
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});
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},
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handleChatModelStart(id, arr, closure_0, arg3, arg4, invocation_params, ls_provider) {
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const callback = closure_0;
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let obj = callback(closure_1[1]);
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const invocationParams = obj.getInvocationParams(invocation_params);
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const result = callback(closure_1[1]).extractChatModelRequestAttributes(id, arr, callback, invocationParams, ls_provider);
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const obj2 = callback(closure_1[1]);
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obj = { name: "" + result[closure_0(undefined, closure_1[2]).GEN_AI_OPERATION_NAME_ATTRIBUTE] + " " + result[closure_0(undefined, closure_1[2]).GEN_AI_REQUEST_MODEL_ATTRIBUTE], op: "gen_ai.chat", attributes: Object.assign({}, result, map({}, callback(closure_1[4]).SEMANTIC_ATTRIBUTE_SENTRY_OP, "gen_ai.chat")) };
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callback(closure_1[3]).startSpanManual(obj, (arg0) => {
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const result = closure_2.set(arg2, arg0);
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return arg0;
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});
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},
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handleLLMEnd(generations) {
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const value = map.get(arg1);
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if (null != value) {
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if (value.isRecording()) {
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const result = callback(closure_1[1]).extractLlmResponseAttributes(generations, closure_1);
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if (result) {
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value.setAttributes(result);
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}
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exitSpan(arg1);
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const obj2 = callback(closure_1[1]);
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}
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}
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},
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handleLLMError(arg0, arg1) {
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const value = map.get(arg1);
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if (tmp) {
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let obj = { code: callback(closure_1[5]).SPAN_STATUS_ERROR, message: "llm_error" };
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value.setStatus(obj);
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exitSpan(arg1);
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}
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const tmp = null != value && value.isRecording();
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obj = {};
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const obj3 = callback(closure_1[6]);
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obj.mechanism = { handled: false, type: "" + callback(closure_1[7]).LANGCHAIN_ORIGIN + ".llm_error_handler" };
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obj3.captureException(arg0, obj);
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},
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handleChainStart(name) {
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const callback = arg2;
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const tmp2 = map(map({}, callback(closure_1[4]).SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN, "auto.ai.langchain"), "langchain.chain.name", name.name || "unknown_chain");
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if (callback) {
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const _JSON = JSON;
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tmp2.langchain.chain.inputs = JSON.stringify(arg1);
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}
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let obj = callback(closure_1[3]);
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obj = { name: "chain " + tmp, op: "gen_ai.invoke_agent", attributes: Object.assign({}, tmp2, map({}, callback(closure_1[4]).SEMANTIC_ATTRIBUTE_SENTRY_OP, "gen_ai.invoke_agent")) };
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obj.startSpanManual(obj, (arg0) => {
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const result = closure_2.set(arg2, arg0);
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return arg0;
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});
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},
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handleChainEnd(arg0, arg1) {
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const value = map.get(arg1);
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if (tmp) {
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if (closure_1) {
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const obj = {};
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const _JSON = JSON;
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obj.langchain.chain.outputs = JSON.stringify(arg0);
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value.setAttributes(obj);
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}
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exitSpan(arg1);
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}
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},
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handleChainError(arg0, arg1) {
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const value = map.get(arg1);
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if (tmp) {
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let obj = { code: callback(closure_1[5]).SPAN_STATUS_ERROR, message: "chain_error" };
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value.setStatus(obj);
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exitSpan(arg1);
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}
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const tmp = null != value && value.isRecording();
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obj = {};
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const obj3 = callback(closure_1[6]);
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obj.mechanism = { handled: false, type: "" + callback(closure_1[7]).LANGCHAIN_ORIGIN + ".chain_error_handler" };
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obj3.captureException(arg0, obj);
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},
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handleToolStart(name, gen_ai.tool.input) {
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const callback = arg2;
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const tmp2 = map(map({}, callback(closure_1[4]).SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN, callback(closure_1[7]).LANGCHAIN_ORIGIN), "gen_ai.tool.name", name.name || "unknown_tool");
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if (callback) {
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tmp2.gen_ai.tool.input = gen_ai_tool_input;
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}
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let obj = callback(closure_1[3]);
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obj = { name: "execute_tool " + tmp, op: "gen_ai.execute_tool", attributes: Object.assign({}, tmp2, map({}, callback(closure_1[4]).SEMANTIC_ATTRIBUTE_SENTRY_OP, "gen_ai.execute_tool")) };
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obj.startSpanManual(obj, (arg0) => {
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const result = closure_2.set(arg2, arg0);
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return arg0;
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});
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},
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handleToolEnd(arg0, arg1) {
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const value = map.get(arg1);
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if (tmp) {
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if (closure_1) {
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const obj = {};
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const _JSON = JSON;
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obj.gen_ai.tool.output = JSON.stringify(arg0);
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value.setAttributes(obj);
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}
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exitSpan(arg1);
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}
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},
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handleToolError(arg0, arg1) {
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const value = map.get(arg1);
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if (tmp) {
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let obj = { code: callback(closure_1[5]).SPAN_STATUS_ERROR, message: "tool_error" };
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value.setStatus(obj);
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exitSpan(arg1);
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}
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const tmp = null != value && value.isRecording();
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obj = {};
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const obj3 = callback(closure_1[6]);
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obj.mechanism = { handled: false, type: "" + callback(closure_1[7]).LANGCHAIN_ORIGIN + ".tool_error_handler" };
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obj3.captureException(arg0, obj);
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},
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copy() {
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return obj;
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},
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toJSON() {
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const obj = { id: obj.lc_id };
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return obj;
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},
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toJSONNotImplemented() {
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const obj = { id: obj.lc_id };
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return obj;
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}
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};
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return obj;
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}
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first = {};
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};
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