Open Abhicurio opened 2 weeks ago
To resolve the TypeError: Cannot read properties of undefined (reading 'includes')
when using the hwchase17/openai-functions-agent
in your chatbot code, ensure that all necessary properties and objects are properly defined and initialized before they are accessed. This error typically occurs when trying to access a property on an undefined object.
Here is a checklist and a sample code snippet to help you troubleshoot and resolve the issue:
Ensure all dependencies are installed:
npm install @langchain/openai @langchain/community
Check that the prompt
is correctly pulled and defined:
import { pull } from "langchain/hub";
import type { ChatPromptTemplate } from "@langchain/core/prompts";
const prompt = await pull<ChatPromptTemplate>(
"hwchase17/openai-functions-agent"
);
if (!prompt) {
throw new Error("Failed to retrieve the prompt.");
}
Ensure the tools
array is properly initialized:
import { TavilySearchResults } from "@langchain/community/tools/tavily_search";
const tools = [new TavilySearchResults({ maxResults: 1 })];
if (!tools || tools.length === 0) {
throw new Error("Tools array is not properly initialized.");
}
Initialize the ChatOpenAI
instance correctly:
import { ChatOpenAI } from "@langchain/openai";
const llm = new ChatOpenAI({
model: "gpt-3.5-turbo-1106",
temperature: 0,
});
if (!llm) {
throw new Error("Failed to initialize ChatOpenAI.");
}
Create the agent and ensure it is properly initialized:
import { createOpenAIFunctionsAgent } from "langchain/agents";
const agent = await createOpenAIFunctionsAgent({
llm,
tools,
prompt,
});
if (!agent) {
throw new Error("Failed to create the OpenAI Functions Agent.");
}
Run the agent and handle the result:
import { AgentExecutor } from "langchain/agents";
const agentExecutor = new AgentExecutor({
agent,
tools,
});
const result = await agentExecutor.invoke({
input: "what is LangChain?",
});
console.log(result);
const result2 = await agentExecutor.invoke({
input: "what's my name?",
chat_history: [
new HumanMessage("hi! my name is cob"),
new AIMessage("Hello Cob! How can I assist you today?"),
],
});
console.log(result2);
By following these steps, you can ensure that all necessary components are properly defined and initialized, which should help resolve the TypeError: Cannot read properties of undefined (reading 'includes')
error [1][2].
To continue talking to Dosu, mention @dosu.
@dosu
const prompt = await pull
The issue of the prompt
returning false
can occur if the required input variables are not provided or if there is an issue with the pull
function itself. Here are some steps to troubleshoot and resolve this issue:
Ensure Required Environment Variables are Set:
Make sure the LANGCHAIN_HUB_USERNAME
environment variable is set, as it is required for the pull
function to work correctly.
export LANGCHAIN_HUB_USERNAME=your_username
Check the pull
Function:
Verify that the pull
function is correctly fetching the prompt. The pull
function should return an instance of a class that extends the Runnable
interface.
import { pull } from "langchain/hub";
import type { ChatPromptTemplate } from "@langchain/core/prompts";
const prompt = await pull<ChatPromptTemplate>(
"hwchase17/openai-functions-agent"
);
if (!prompt) {
throw new Error("Failed to retrieve the prompt.");
}
Verify the Prompt Structure:
Ensure that the prompt includes the required input variables, such as agent_scratchpad
. The createOpenAIFunctionsAgent
function expects the prompt to have an input variable named agent_scratchpad
.
if (!prompt.inputVariables.includes("agent_scratchpad")) {
throw new Error(
[
`Prompt must have an input variable named "agent_scratchpad".`,
`Found ${JSON.stringify(prompt.inputVariables)} instead.`,
].join("\n")
);
}
Check for Missing Input Variables: Ensure that all required input variables are provided when formatting the prompt. Missing input variables can cause errors.
const chatPrompt = createChatPromptTemplate();
const messages = await chatPrompt.formatPromptValue({
context: "This is a context",
foo: "Foo",
bar: "Bar",
});
By following these steps, you can ensure that the prompt is correctly retrieved and formatted, which should resolve the issue of the prompt
returning false
[1][2][3].
To continue talking to Dosu, mention @dosu.
since there is issue in pull agent I have change the implementation async function getAzureOpenAiAns(info) { console.log(info); const vectorStore = await HNSWLib.load( "hnswlib", new AzureOpenAIEmbeddings({ azureOpenAIApiEmbeddingsDeploymentName: process.env.AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME, })) const retriever = vectorStore.asRetriever(); const searchTool = new TavilySearchResults(); const retrieverTool = createRetrieverTool(retriever, { name: "langsmith_search", description: "Search for information about LangSmith. For any questions about LangSmith, you must use this tool!", }); const tools = [searchTool, retrieverTool]; const { question } = info;
try { const model = new AzureOpenAI({ temperature: 0.7, // Adjust temperature for a balance between factual accuracy and creativity });
const prompt = ChatPromptTemplate.fromMessages([
["system", "You are a helpful assistant"],
["placeholder", "{chat_history}"],
["human", "{input}"],
["placeholder", "{agent_scratchpad}"],
])
console.log(
prompt, 'popopo')
const agent = await createOpenAIFunctionsAgent({
model,
tools,
prompt,
});
const agentExecutor = new AgentExecutor({
agent,
tools,
});
const result = await agentExecutor.invoke({
input: question,
});
console.log(result);
return {
answer: result,
};
} catch (err) { console.log(err); throw err; } }
now getting error TypeError: Cannot read properties of undefined (reading 'bind') at createOpenAIFunctionsAgent (/Users/abhijeet/Workspace/Node/UserBackend/node_modules/langchain/dist/agents/openai_functions/index.cjs:229:30) at Object.getAzureOpenAiAns (/Users/abhijeet/Workspace/Node/UserBackend/lib/modules/v3/chatbot/facade.js:117:25) TypeError: Cannot read properties of undefined (reading 'bind') at createOpenAIFunctionsAgent (/Users/abhijeet/Workspace/Node/UserBackend/node_modules/langchain/dist/agents/openai_functions/index.cjs:229:30) at Object.getAzureOpenAiAns (/Users/abhijeet/Workspace/Node/UserBackend/lib/modules/v3/chatbot/facade.js:117:25)
Checked other resources
Example Code
`async function getAzureOpenAiAns(info) { console.log(info); const vectorStore = await HNSWLib.load( "hnswlib", new AzureOpenAIEmbeddings({ azureOpenAIApiEmbeddingsDeploymentName: process.env.AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME, })) const retriever = vectorStore.asRetriever(); const searchTool = new TavilySearchResults(); const retrieverTool = createRetrieverTool(retriever, { name: "langsmith_search", description: "Search for information about LangSmith. For any questions about LangSmith, you must use this tool!", }); const tools = [searchTool, retrieverTool]; const { question } = info;
try { const model = new AzureOpenAI({ temperature: 0.7, // Adjust temperature for a balance between factual accuracy and creativity });
} catch (err) { console.log(err); throw err; } }`
Error Message and Stack Trace (if applicable)
false popopo TypeError: Cannot read properties of undefined (reading 'includes') at createOpenAIFunctionsAgent (/Users/abhijeet/Workspace/Node/UserBackend/node_modules/langchain/dist/agents/openai_functions/index.cjs:223:32) at Object.getAzureOpenAiAns (/Users/abhijeet/Workspace/Node/UserBackend/lib/modules/v3/chatbot/facade.js:114:25) TypeError: Cannot read properties of undefined (reading 'includes') at createOpenAIFunctionsAgent (/Users/abhijeet/Workspace/Node/UserBackend/node_modules/langchain/dist/agents/openai_functions/index.cjs:223:32) at Object.getAzureOpenAiAns (/Users/abhijeet/Workspace/Node/UserBackend/lib/modules/v3/chatbot/facade.js:114:25)
Description
I am creating a chatbot for that I am using the agent hwchase17/openai-functions-agent but it throwing error TypeError: Cannot read properties of undefined (reading 'includes')
System Info
"@langchain/openai": "^0.1.3", mac node 20