refactor: Removed use of depracted functions from langchain (#13953)
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+63
-57
@@ -1,5 +1,6 @@
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import { ChatPromptTemplate } from "@langchain/core/prompts";
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import { ChatOpenAI } from "@langchain/openai";
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import { initializeAgentExecutorWithOptions } from "langchain/agents";
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import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";
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import { env } from "../env.mjs";
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import createBookingIfAvailable from "../tools/createBooking";
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@@ -47,67 +48,72 @@ const agent = async (
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/**
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* Initialize the agent executor with arguments.
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*/
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const executor = await initializeAgentExecutorWithOptions(tools, model, {
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agentArgs: {
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prefix: `You are Cal.ai - a bleeding edge scheduling assistant that interfaces via email.
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Make sure your final answers are definitive, complete and well formatted.
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Sometimes, tools return errors. In this case, try to handle the error intelligently or ask the user for more information.
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Tools will always handle times in UTC, but times sent to users should be formatted per that user's timezone.
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In responses to users, always summarize necessary context and open the door to follow ups. For example "I have booked your chat with @username for 3pm on Wednesday, December 20th, 2023 EST. Please let me know if you need to reschedule."
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If you can't find a referenced user, ask the user for their email or @username. Make sure to specify that usernames require the @username format. Users don't know other users' userIds.
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const prompt =
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ChatPromptTemplate.fromTemplate(`You are Cal.ai - a bleeding edge scheduling assistant that interfaces via email.
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Make sure your final answers are definitive, complete and well formatted.
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Sometimes, tools return errors. In this case, try to handle the error intelligently or ask the user for more information.
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Tools will always handle times in UTC, but times sent to users should be formatted per that user's timezone.
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In responses to users, always summarize necessary context and open the door to follow ups. For example "I have booked your chat with @username for 3pm on Wednesday, December 20th, 2023 EST. Please let me know if you need to reschedule."
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If you can't find a referenced user, ask the user for their email or @username. Make sure to specify that usernames require the @username format. Users don't know other users' userIds.
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The primary user's id is: ${userId}
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The primary user's username is: ${user.username}
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The current time in the primary user's timezone is: ${now(user.timeZone, {
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weekday: "long",
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year: "numeric",
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month: "long",
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day: "numeric",
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hour: "numeric",
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minute: "numeric",
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})}
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The primary user's time zone is: ${user.timeZone}
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The primary user's event types are: ${user.eventTypes
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.map((e: EventType) => `ID: ${e.id}, Slug: ${e.slug}, Title: ${e.title}, Length: ${e.length};`)
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.join("\n")}
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The primary user's working hours are: ${user.workingHours
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.map(
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(w: WorkingHours) =>
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`Days: ${w.days.join(", ")}, Start Time (minutes in UTC): ${
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w.startTime
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}, End Time (minutes in UTC): ${w.endTime};`
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)
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.join("\n")}
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${
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users.length
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? `The email references the following @usernames and emails: ${users
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.map(
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(u) =>
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`${
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(u.id ? `, id: ${u.id}` : "id: (non user)") +
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(u.username
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? u.type === "fromUsername"
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? `, username: @${u.username}`
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: ", username: REDACTED"
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: ", (no username)") +
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(u.email
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? u.type === "fromEmail"
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? `, email: ${u.email}`
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: ", email: REDACTED"
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: ", (no email)")
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};`
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)
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.join("\n")}`
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: ""
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}`);
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const agent = await createOpenAIFunctionsAgent({
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llm: model,
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prompt,
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tools,
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});
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The primary user's id is: ${userId}
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The primary user's username is: ${user.username}
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The current time in the primary user's timezone is: ${now(user.timeZone, {
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weekday: "long",
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year: "numeric",
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month: "long",
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day: "numeric",
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hour: "numeric",
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minute: "numeric",
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})}
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The primary user's time zone is: ${user.timeZone}
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The primary user's event types are: ${user.eventTypes
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.map((e: EventType) => `ID: ${e.id}, Slug: ${e.slug}, Title: ${e.title}, Length: ${e.length};`)
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.join("\n")}
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The primary user's working hours are: ${user.workingHours
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.map(
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(w: WorkingHours) =>
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`Days: ${w.days.join(", ")}, Start Time (minutes in UTC): ${
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w.startTime
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}, End Time (minutes in UTC): ${w.endTime};`
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)
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.join("\n")}
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${
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users.length
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? `The email references the following @usernames and emails: ${users
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.map(
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(u) =>
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`${
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(u.id ? `, id: ${u.id}` : "id: (non user)") +
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(u.username
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? u.type === "fromUsername"
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? `, username: @${u.username}`
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: ", username: REDACTED"
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: ", (no username)") +
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(u.email
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? u.type === "fromEmail"
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? `, email: ${u.email}`
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: ", email: REDACTED"
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: ", (no email)")
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};`
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)
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.join("\n")}`
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: ""
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}
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`,
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},
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agentType: "openai-functions",
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const executor = new AgentExecutor({
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agent,
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tools,
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returnIntermediateSteps: env.NODE_ENV === "development",
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verbose: env.NODE_ENV === "development",
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});
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const result = await executor.call({ input });
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const result = await executor.invoke({ input });
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const { output } = result;
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return output;
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