How to stream events from within a tool¶
If your LangGraph graph needs to use tools that call LLMs (or any other LangChain Runnable
objects -- other graphs, LCEL chains, retrievers, etc.), you might want to stream events from the underlying Runnable
. This guide shows how you can do that.
Setup¶
Define graph and tools¶
We'll use a prebuilt ReAct agent for this guide
import { z } from "zod";
import { tool } from "@langchain/core/tools";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { ChatAnthropic } from "@langchain/anthropic";
const model = new ChatAnthropic({
model: "claude-3-5-sonnet-20240620",
temperature: 0,
});
const getItems = tool(
async (input, config) => {
const template = ChatPromptTemplate.fromMessages([
[
"human",
"Can you tell me what kind of items i might find in the following place: '{place}'. " +
"List at least 3 such items separating them by a comma. And include a brief description of each item..",
],
]);
const modelWithConfig = model.withConfig({
runName: "Get Items LLM",
tags: ["tool_llm"],
});
const chain = template.pipe(modelWithConfig);
const result = await chain.invoke(input, config);
return result.content;
},
{
name: "get_items",
description: "Use this tool to look up which items are in the given place.",
schema: z.object({
place: z.string().describe("The place to look up items for. E.g 'shelf'"),
}),
}
);
We're adding a custom tag (tool_llm
) to our LLM runnable within the tool. This will allow us to filter events that we'll stream from the compiled graph (agent
) Runnable below
import { createReactAgent } from "@langchain/langgraph/prebuilt";
const agent = createReactAgent({
llm: model,
tools: [getItems],
});
Stream events from the graph¶
let finalEvent;
for await (const event of agent.streamEvents(
{
messages: [
[
"human",
"what items are on the shelf? You should call the get_items tool.",
],
],
},
{
version: "v2",
},
{
includeTags: ["tool_llm"],
}
)) {
if ("chunk" in event.data) {
console.dir({
type: event.data.chunk._getType(),
content: event.data.chunk.content,
})
}
finalEvent = event;
}
{ type: 'ai', content: 'Here' }
{ type: 'ai', content: ' are three items you might' }
{ type: 'ai', content: ' find on a shelf,' }
{ type: 'ai', content: ' along with brief' }
{ type: 'ai', content: ' descriptions:\n\n1.' }
{ type: 'ai', content: ' Books' }
{ type: 'ai', content: ': Boun' }
{ type: 'ai', content: 'd collections of printe' }
{ type: 'ai', content: 'd pages' }
{ type: 'ai', content: ' containing' }
{ type: 'ai', content: ' various' }
{ type: 'ai', content: ' forms' }
{ type: 'ai', content: ' of literature, information' }
{ type: 'ai', content: ', or reference' }
{ type: 'ai', content: ' material.\n\n2.' }
{ type: 'ai', content: ' Picture' }
{ type: 'ai', content: ' frames: Decorative' }
{ type: 'ai', content: ' borders' }
{ type: 'ai', content: ' used to display an' }
{ type: 'ai', content: 'd protect photographs, artwork' }
{ type: 'ai', content: ', or other visual memor' }
{ type: 'ai', content: 'abilia.\n\n3' }
{ type: 'ai', content: '. Pot' }
{ type: 'ai', content: 'ted plants: Small' }
{ type: 'ai', content: ' indoor' }
{ type: 'ai', content: ' plants in' }
{ type: 'ai', content: ' containers, often used for' }
{ type: 'ai', content: ' decoration or to add a' }
{ type: 'ai', content: ' touch of nature to indoor' }
{ type: 'ai', content: ' spaces.' }
const finalMessage = finalEvent?.data.output;
console.dir(
{
type: finalMessage._getType(),
content: finalMessage.content,
tool_calls: finalMessage.tool_calls,
},
{ depth: null }
);
{
type: 'ai',
content: 'Here are three items you might find on a shelf, along with brief descriptions:\n' +
'\n' +
'1. Books: Bound collections of printed pages containing various forms of literature, information, or reference material.\n' +
'\n' +
'2. Picture frames: Decorative borders used to display and protect photographs, artwork, or other visual memorabilia.\n' +
'\n' +
'3. Potted plants: Small indoor plants in containers, often used for decoration or to add a touch of nature to indoor spaces.',
tool_calls: []
}
ToolMessage
is the same as the output we streamed above