110 lines
3.8 KiB
TypeScript
110 lines
3.8 KiB
TypeScript
import { TripPlannerState, TripPlannerUpdate } from "../types";
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import { ChatOpenAI } from "@langchain/openai";
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import { typedUi } from "@langchain/langgraph-sdk/react-ui/server";
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import type ComponentMap from "../../uis/index";
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import { z } from "zod";
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import { LangGraphRunnableConfig } from "@langchain/langgraph";
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import { getAccommodationsListProps } from "../utils/get-accommodations";
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import { findToolCall } from "../../find-tool-call";
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const listAccommodationsSchema = z.object({}).describe("A tool to list accommodations for the user")
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const bookAccommodationSchema = z.object({
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accommodationName: z.string().describe("The name of the accommodation to book a reservation for"),
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}).describe("A tool to book a reservation for an accommodation");
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const listRestaurantsSchema = z.object({}).describe("A tool to list restaurants for the user");
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const bookRestaurantSchema = z.object({
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restaurantName: z.string().describe("The name of the restaurant to book a reservation for"),
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}).describe("A tool to book a reservation for a restaurant");
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const ACCOMMODATIONS_TOOLS = [
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{
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name: "list-accommodations",
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description: "A tool to list accommodations for the user",
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schema: listAccommodationsSchema,
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},
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{
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name: "book-accommodation",
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description: "A tool to book a reservation for an accommodation",
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schema: bookAccommodationSchema,
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},
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{
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name: "list-restaurants",
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description: "A tool to list restaurants for the user",
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schema: listRestaurantsSchema,
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},
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{
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name: "book-restaurant",
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description: "A tool to book a reservation for a restaurant",
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schema: bookRestaurantSchema,
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},
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];
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export async function callTools(
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state: TripPlannerState,
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config: LangGraphRunnableConfig,
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): Promise<TripPlannerUpdate> {
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if (!state.tripDetails) {
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throw new Error("No trip details found");
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}
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const ui = typedUi<typeof ComponentMap>(config);
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const llm = new ChatOpenAI({ model: "gpt-4o", temperature: 0 }).bindTools(ACCOMMODATIONS_TOOLS);
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const response = await llm.invoke([
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{
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role: "system",
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content:
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"You are an AI assistant who helps users book trips. Use the user's most recent message(s) to contextually generate a response.",
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},
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...state.messages,
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]);
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const listAccommodationsToolCall = response.tool_calls?.find(
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findToolCall("list-accommodations")<typeof listAccommodationsSchema>,
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);
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const bookAccommodationToolCall = response.tool_calls?.find(
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findToolCall("book-accommodation")<typeof bookAccommodationSchema>,
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);
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const listRestaurantsToolCall = response.tool_calls?.find(
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findToolCall("list-restaurants")<typeof listRestaurantsSchema>,
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);
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const bookRestaurantToolCall = response.tool_calls?.find(
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findToolCall("book-restaurant")<typeof bookRestaurantSchema>,
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);
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if (!listAccommodationsToolCall && !bookAccommodationToolCall && !listRestaurantsToolCall && !bookRestaurantToolCall) {
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throw new Error("No tool calls found");
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}
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if (listAccommodationsToolCall) {
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ui.write("accommodations-list", {
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toolCallId: listAccommodationsToolCall.id ?? "",
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...getAccommodationsListProps(state.tripDetails),
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});
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}
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if (bookAccommodationToolCall && bookAccommodationToolCall.args.accommodationName) {
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ui.write("book-accommodation", {
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tripDetails: state.tripDetails,
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accommodationName: bookAccommodationToolCall.args.accommodationName,
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});
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}
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if (listRestaurantsToolCall) {
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ui.write("restaurants-list", { tripDetails: state.tripDetails });
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}
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if (bookRestaurantToolCall && bookRestaurantToolCall.args.restaurantName) {
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ui.write("book-restaurant", {
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tripDetails: state.tripDetails,
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restaurantName: bookRestaurantToolCall.args.restaurantName,
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});
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}
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return {
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messages: [response],
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ui: ui.collect as TripPlannerUpdate["ui"],
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timestamp: Date.now(),
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};
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}
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