tmp

libs/langchain-google-common/src/chat_models.ts

@@ -357,6 +357,7 @@ export abstract class ChatGoogleBase<AuthOptions>
   ): AsyncGenerator<ChatGenerationChunk> {
     // Make the call as a streaming request
     const parameters = this.invocationParams(options);
+    console.log("IN CHAT MODEL", this.model)
     const response = await this.streamedConnection.request(
       _messages,
       parameters,

libs/langchain-google-common/src/connection.ts

@@ -106,7 +106,7 @@ export abstract class GoogleConnection<
     } else {
       opts.responseType = "json";
     }
-
+    console.dir(opts, { depth: null });
     const callResponse = await this.caller.callWithOptions(
       { signal: options?.signal },
       async () => this.client.request(opts)

libs/langchain-google-common/src/llms.ts

@@ -187,6 +187,7 @@ export abstract class GoogleBaseLLM<AuthOptions>
     prompt: string,
     options: this["ParsedCallOptions"]
   ): Promise<string> {
+    console.log("this.model", this.model)
     const parameters = copyAIModelParams(this, options);
     const result = await this.connection.request(prompt, parameters, options);
     const ret = safeResponseToString(result, this.safetyHandler);
@@ -290,6 +291,7 @@ export abstract class GoogleBaseLLM<AuthOptions>
     input: BaseLanguageModelInput,
     options?: BaseLanguageModelCallOptions
   ): Promise<string> {
+    console.log("this.model", this.model)
     const stream = await this._streamIterator(input, options);
     let generatedOutput = "";
     for await (const chunk of stream) {

libs/langchain-google-vertexai/src/tests/llms.int.test.ts

@@ -219,3 +219,12 @@ describe("GAuth LLM gai", () => {
     // console.log("res", res);
   });
 });
+
+test.only("invoke", async () => {
+  const model = new VertexAI({
+    model: "gemini-1.5-pro",
+  });
+
+  const res = await model.invoke("1 + 1 = ");
+  console.log("res", res);
+})