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examples/ai-sdk/weather.ts

@@ -11,11 +11,12 @@ async function main() {
   const weather = new WeatherClient()
 
   const result = await generateText({
-    model: openai('gpt-4-turbo'),
+    model: openai('gpt-4o'),
     tools: createAISDKTools(weather),
     toolChoice: 'required',
-    prompt:
-      'What is the weather in San Francisco and what attractions should I visit?'
+    temperature: 0,
+    system: 'You are a weather assistant. Be as concise as possible.',
+    prompt: 'What is the weather in San Francisco?'
   })
 
   console.log(result.toolResults[0])

examples/dexter/weather.ts

@@ -1,73 +1,22 @@
 #!/usr/bin/env node
 import 'dotenv/config'
 
-import {
-  ChatModel,
-  createAIFunction,
-  createAIRunner,
-  Msg
-} from '@dexaai/dexter'
-import { z } from 'zod'
+import { ChatModel, createAIRunner } from '@dexaai/dexter'
 
 import { WeatherClient } from '../../src/index.js'
 import { createDexterFunctions } from '../../src/sdks/dexter.js'
 
-/** Get the capital city for a given state. */
-const getCapitalCity = createAIFunction(
-  {
-    name: 'get_capital_city',
-    description: 'Use this to get the the capital city for a given state',
-    argsSchema: z.object({
-      state: z
-        .string()
-        .length(2)
-        .describe(
-          'The state to get the capital city for, using the two letter abbreviation e.g. CA'
-        )
-    })
-  },
-  async ({ state }) => {
-    await new Promise((resolve) => setTimeout(resolve, 500))
-    let capitalCity = ''
-    switch (state) {
-      case 'CA':
-        capitalCity = 'Sacramento'
-        break
-      case 'NY':
-        capitalCity = 'Albany'
-        break
-      default:
-        capitalCity = 'Unknown'
-    }
-    return { capitalCity }
-  }
-)
-
-const weather = new WeatherClient()
-
-/** A runner that uses the weather and capital city functions. */
-const weatherCapitalRunner = createAIRunner({
-  chatModel: new ChatModel({ params: { model: 'gpt-4-1106-preview' } }),
-  functions: [...createDexterFunctions(weather), getCapitalCity],
-  systemMessage: `You use functions to answer questions about the weather and capital cities.`
-})
-
 async function main() {
-  // Run with a string input
-  const rString = await weatherCapitalRunner(
-    `Whats the capital of California and NY and the weather for both?`
-  )
-  console.log('rString', rString)
+  const weather = new WeatherClient()
 
-  // Run with a message input
-  const rMessage = await weatherCapitalRunner({
-    messages: [
-      Msg.user(
-        `Whats the capital of California and NY and the weather for both?`
-      )
-    ]
+  const runner = createAIRunner({
+    chatModel: new ChatModel({ params: { model: 'gpt-4o', temperature: 0 } }),
+    functions: createDexterFunctions(weather),
+    systemMessage: 'You are a weather assistant. Be as concise as possible.'
   })
-  console.log('rMessage', rMessage)
+
+  const result = await runner('What is the weather in San Francisco?')
+  console.log(result)
 }
 
 await main()

examples/langchain/weather.ts

@@ -13,7 +13,7 @@ async function main() {
 
   const tools = createLangChainTools(weather)
   const agent = createToolCallingAgent({
-    llm: new ChatOpenAI({ temperature: 0 }),
+    llm: new ChatOpenAI({ model: 'gpt-4o', temperature: 0 }),
     tools,
     prompt: ChatPromptTemplate.fromMessages([
       ['system', 'You are a weather assistant. Be as concise as possible.'],
@@ -25,8 +25,8 @@ async function main() {
 
   const agentExecutor = new AgentExecutor({
     agent,
-    tools,
-    verbose: true
+    tools
+    // verbose: true
   })
 
   const result = await agentExecutor.invoke({