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examples/replicate.ts

@@ -5,19 +5,15 @@ import { z } from 'zod'
 import { Agentic, ReplicateStableDiffusionTool } from '@/index'
 
 async function main() {
-  const openai = new OpenAIClient({
+  const openai = new OpenAIClient({ apiKey: process.env.OPENAI_API_KEY! })
-    apiKey: process.env.OPENAI_API_KEY!,
-    fetchOptions: {
-      timeout: false
-    }
-  })
   const agentic = new Agentic({ openai })
 
   const topic = process.argv[2] || 'san francisco'
 
   const res = await agentic
     .gpt4(
-      `Generate {{numImages}} images of {{topic}}. Use prompts that are artistic and creative.`
+      ({ numImages, topic }) =>
+        `Generate ${numImages} images of ${topic}. Use prompts that are artistic and creative. The output should contain ${numImages} markdown images with descriptions.`
     )
     .modelParams({ temperature: 1.0 })
     .tools([new ReplicateStableDiffusionTool()])

package.json

@@ -33,7 +33,7 @@
     "prepare": "husky install",
     "pre-commit": "lint-staged",
     "test": "run-s test:*",
-    "test:unit": "ava",
+    "test:unit": "NODE_OPTIONS='--loader=tsx --no-warnings' ava",
     "test:prettier": "prettier \"**/*.{js,jsx,ts,tsx}\" --check",
     "test:eslint": "eslint \"**/*.ts\"",
     "test-cov": "c8 ava"

pnpm-lock.yaml

@@ -1,9 +1,5 @@
 lockfileVersion: '6.1'
 
-settings:
-  autoInstallPeers: true
-  excludeLinksFromLockfile: false
-
 dependencies:
   '@agentic/midjourney-fetch':
     specifier: ^1.0.1
@@ -4807,3 +4803,7 @@ packages:
   /zod@3.21.4:
     resolution: {integrity: sha512-m46AKbrzKVzOzs/DZgVnG5H55N1sv1M8qZU3A8RIKbs3mrACDNeIOeilDymVb2HdmP8uwshOCF4uJ8uM9rCqJw==}
     dev: false
+
+settings:
+  autoInstallPeers: true
+  excludeLinksFromLockfile: false

src/llms/chat.ts

@@ -241,6 +241,7 @@ export abstract class BaseChatCompletion<
       // console.log('<<< completion', { messages, functions })
       const completion = await this._createChatCompletion(messages, functions)
       const message = completion.message
+      const functionCall = message.function_call
       // console.log('>>> completion', completion.message)
 
       this._logger.info(
@@ -249,9 +250,7 @@ export abstract class BaseChatCompletion<
       )
       ctx.metadata.completion = completion
 
-      if (message.function_call && !message.content) {
+      if (functionCall) {
-        const functionCall = message.function_call
-
         if (!isUsingTools) {
           // TODO: not sure what we should do in this case...
           output = functionCall

test/llms/openai-tools.test.ts

@@ -50,6 +50,7 @@ test('OpenAIChatCompletion - tools - weather', async (t) => {
     )
     .call()
 
+  // console.log(JSON.stringify(result, null, 2))
   t.truthy(typeof result === 'object')
   t.truthy(typeof result.answer === 'number')
   t.truthy(typeof result.units === 'string')