feat: Added helicone for caching openai response (#1202)

.github/workflows/examples_js.yml

@@ -73,6 +73,7 @@ jobs:
           LISTENNOTES_API_KEY: ${{secrets.LISTENNOTES_API_KEY}}
           COMPOSIO_API_KEY: ${{ inputs.api_key || secrets.COMPOSIO_API_KEY_RELEASE }}
           COMPOSIO_BASE_URL: 'https://backend.composio.dev'
+          HELICONE_API_KEY: ${{secrets.HELICONE_API_KEY}}
         run: |
           pnpm exec jest tests/test_examples.test.js
       - name: Slack Notification on Failure

.github/workflows/run_examples_js.yml

@@ -5,18 +5,16 @@ on:
   workflow_dispatch:
   pull_request:
     paths:
-      - '**/*.js'
-      - '**/*.ts'
+      - "js/examples/**"
   push:
     branches:
       - master
     paths:
-      - '**/*.js'
-      - '**/*.ts'
+      - "js/examples/**"
 
 jobs:
   test-examples:
     uses: ./.github/workflows/examples_js.yml
     with:
       working-directory: ./js
-    secrets: inherit
+    secrets: inherit

js/examples/lead_outreach_agent/demo.mjs

@@ -1,41 +1,43 @@
 import { ChatOpenAI } from "@langchain/openai";
-import { createOpenAIFunctionsAgent, AgentExecutor } from "langchain/agents";
-import { pull } from "langchain/hub";
-import dotenv from 'dotenv';
 import { LangchainToolSet } from "composio-core";
+import dotenv from "dotenv";
+import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";
+import { pull } from "langchain/hub";
+import { heliconeParams } from "../utils.mjs";
 
 dotenv.config();
 
-
-
-const llm = new ChatOpenAI({
-    model: "gpt-4-turbo",
+const llm = new ChatOpenAI(
+  {
+    model: "gpt-3.5-turbo",
     apiKey: process.env.OPENAI_API_KEY,
-});
+  },
+  // Remove Helicone params if you don't want to use it
+  heliconeParams
+);
 
 const toolset = new LangchainToolSet({
-    apiKey: process.env.COMPOSIO_API_KEY,
+  apiKey: process.env.COMPOSIO_API_KEY,
 });
 
 const tools = await toolset.getTools({
-    actions: ["HUBSPOT_LIST_CONTACTS_PAGE", "GMAIL_CREATE_EMAIL_DRAFT"]
+  actions: ["HUBSPOT_LIST_CONTACTS_PAGE", "GMAIL_CREATE_EMAIL_DRAFT"],
 });
 
 const prompt = await pull("hwchase17/openai-functions-agent");
 
-
 const agent = await createOpenAIFunctionsAgent({
-    llm,
-    tools,
-    prompt,
+  llm,
+  tools,
+  prompt,
 });
 
 const agentExecutor = new AgentExecutor({
-    agent,
-    tools,
-    verbose: false, 
+  agent,
+  tools,
+  verbose: false,
 });
 const result = await agentExecutor.invoke({
-    input: `Draft an email for each lead in my Hubspot contacts page introducing yourself and asking them if they're interested in integrating AI Agents in their workflow.`
+  input: `Draft an email for each lead in my Hubspot contacts page introducing yourself and asking them if they're interested in integrating AI Agents in their workflow.`,
 });
-console.log('🎉Output from agent: ', result.output);
+console.log("🎉Output from agent: ", result.output);

js/examples/lead_outreach_agent/package.json

@@ -14,7 +14,7 @@
     "composio-core": "0.5.3",
     "dotenv": "^16.4.7",
     "express": "^4.19.2",
-    "langchain": "^0.3.5",
+    "langchain": "^0.3.11",
     "pusher-js": "8.4.0-rc2"
   }
 }

js/examples/portfolio-generator/demo.mjs

@@ -1,5 +1,6 @@
-import { openai } from "@ai-sdk/openai";
 import { VercelAIToolSet } from "composio-core";
+import { openai } from "../utils.mjs"; // Comment this to use the default openai 
+// import { openai } from "@ai-sdk/openai"; // Uncomment this to use the default openai 
 import dotenv from "dotenv";
 import { generateText } from "ai";
 dotenv.config();
@@ -21,7 +22,6 @@ async function setupUserConnectionIfNotExists(entityId) {
     console.log("Log in via: ", newConnection.redirectUrl);
     return newConnection.waitUntilActive(60);
   }
-
   return connection;
 }
 
@@ -35,7 +35,7 @@ async function executeAgent(entityName) {
   // Generate text using the model and tools
   const info = `I am a software engineer with 5 years of experience in the field. I have worked on multiple projects like a chatbot and a web app. I have a strong understanding of software development. I am currently looking for a new job and am open to opportunities in the San Francisco Bay Area.`;
   const output = await generateText({
-    model: openai("gpt-4o"),
+    model: openai("gpt-3.5-turbo"),
     streamText: false,
     tools: tools,
     prompt: `Based on my info: ${info} and generate the reactjs code for a portfolio website, also give the folder directory and steps to set it up. Then put all of it in a google doc`,