.

Author: nicohrubec

dev-packages/browser-integration-tests/suites/tracing/ai-providers/langchain/mocks.js

@@ -6,8 +6,8 @@ export class MockChatAnthropic {
     this._maxTokens = params.maxTokens;
   }
 
-  async invoke(messages, options) {
-    const callbacks = options?.callbacks || [];
+  async invoke(messages, config = { callbacks: [] }) {
+    const callbacks = config.callbacks;
     const runId = 'mock-run-id-123';
 
     const invocationParams = {

dev-packages/browser-integration-tests/suites/tracing/ai-providers/langchain/subject.js

@@ -14,6 +14,7 @@ const chatModel = new MockChatAnthropic({
 
 // Test that manual instrumentation doesn't crash the browser
 // The instrumentation automatically creates spans
+// We can provide callbacks in the config object:https://docs.langchain.com/oss/python/langchain/models#invocation-config
 const response = await chatModel.invoke('What is the capital of France?', {
   callbacks: [callbackHandler],
 });