From 7fa51f611c09b18b62a84047f0569af0a3578293 Mon Sep 17 00:00:00 2001
From: bracesproul <braceasproul@gmail.com>
Date: Mon, 8 Apr 2024 13:57:11 -0700
Subject: [PATCH] fix build issues

---
 examples/src/chat/overview.ts                                | 5 +----
 examples/src/models/chat/chat.ts                             | 4 ----
 .../src/models/chat/integration_openai_generation_info.ts    | 2 +-
 examples/src/models/llm/openai-batch.ts                      | 2 +-
 langchain/src/agents/agent.ts                                | 2 +-
 5 files changed, 4 insertions(+), 11 deletions(-)

diff --git a/examples/src/chat/overview.ts b/examples/src/chat/overview.ts
index ab3ec8d6068c..e8ecd6581393 100644
--- a/examples/src/chat/overview.ts
+++ b/examples/src/chat/overview.ts
@@ -38,22 +38,19 @@ export const run = async () => {
   // Sending two separate prompts in parallel, receiving two responses back
 
   const responseA = await chat.invoke([
-    [
+    
       new SystemMessage(
         "You are a helpful assistant that translates English to French."
       ),
       new HumanMessage(
         "Translate this sentence from English to French. I love programming."
       ),
-    ],
-    [
       new SystemMessage(
         "You are a helpful assistant that translates English to French."
       ),
       new HumanMessage(
         "Translate this sentence from English to French. I love artificial intelligence."
       ),
-    ],
   ]);
 
   console.log(responseA);
diff --git a/examples/src/models/chat/chat.ts b/examples/src/models/chat/chat.ts
index 399c9aebabf0..516a2c092fbb 100644
--- a/examples/src/models/chat/chat.ts
+++ b/examples/src/models/chat/chat.ts
@@ -26,22 +26,18 @@ export const run = async () => {
 
   // Similar to LLMs, you can also use `generate` to generate chat completions for multiple sets of messages.
   const responseC = await chat.invoke([
-    [
       new SystemMessage(
         "You are a helpful assistant that translates English to French."
       ),
       new HumanMessage(
         "Translate this sentence from English to French. I love programming."
       ),
-    ],
-    [
       new SystemMessage(
         "You are a helpful assistant that translates English to French."
       ),
       new HumanMessage(
         "Translate this sentence from English to French. I love artificial intelligence."
       ),
-    ],
   ]);
   console.log(responseC);
   /*
diff --git a/examples/src/models/chat/integration_openai_generation_info.ts b/examples/src/models/chat/integration_openai_generation_info.ts
index 35c658738bb6..780c6430fa21 100644
--- a/examples/src/models/chat/integration_openai_generation_info.ts
+++ b/examples/src/models/chat/integration_openai_generation_info.ts
@@ -7,7 +7,7 @@ const model = new ChatOpenAI({
   // topLogprobs: 5,
 });
 
-const generations = await model.invoke([[new HumanMessage("Hi there!")]]);
+const generations = await model.invoke([new HumanMessage("Hi there!")]);
 
 console.log(JSON.stringify(generations, null, 2));
 
diff --git a/examples/src/models/llm/openai-batch.ts b/examples/src/models/llm/openai-batch.ts
index a32791e8fe95..6b0efb0eb526 100644
--- a/examples/src/models/llm/openai-batch.ts
+++ b/examples/src/models/llm/openai-batch.ts
@@ -20,7 +20,7 @@ const chat = new ChatOpenAI({
   modelName: "gpt-3.5-turbo",
 });
 
-const messages = prompts.map((prompt) => [new HumanMessage(prompt)]);
+const messages = prompts.map((prompt) => new HumanMessage(prompt));
 
 const res2 = await chat.invoke(messages);
 console.log({ res2 });
diff --git a/langchain/src/agents/agent.ts b/langchain/src/agents/agent.ts
index a910883c6913..f040c69aa126 100644
--- a/langchain/src/agents/agent.ts
+++ b/langchain/src/agents/agent.ts
@@ -603,7 +603,7 @@ export abstract class Agent extends BaseSingleActionAgent {
       newInputs.stop = this._stop();
     }
 
-    const output = await this.llmChain.invoke(newInputs, callbackManager);
+    const output = await this.llmChain.predict(newInputs, callbackManager);
     if (!this.outputParser) {
       throw new Error("Output parser not set");
     }