OpenAI Chat GPT
Using LLM to generate text.
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Metorial provides the information you need to monitor how your agents interact with MCP servers hosted on Metorial Connect. Track usage, find issues, look at interactions between your agents and the MCP servers.
Usage
10/24/2025
Metorial stores every MCP session, allowing you to replay and audit your agents' interactions with the MCP servers.
Received new message
Starting agent
Sending request to OpenAI
Using LLM to generate text.
OpenAI step completed successfully
OpenAI requested Weather information
Calling tool Weather
Retrieve weather information.
Weather step completed successfully
Sending weather information to OpenAI GPT
Find issues in your agents, and get notified when something goes wrong.
Received message from agent
Starting MCP server
Invalid tool parameters
Reporting issue to agent
Stopping MCP server
Message Input
The actor takes a message as its input.
Code Action
Custom TypeScript code to transform the input.
AI Model
Prompt GPT-4o to generate a response.
Search Web
Search the web for additional information.
AI Model
Use a custom AI model to generate a response.
Text Response
Return the generated text back to your application.
Metorial is purpose-built for developers. With our powerful APIs and easy-to-use SDKs, you can integrate Metorial into your applications in minutes. Whether you're building conversational assistants, data analysis tools, or robots, Metorial has you covered.
1import { openai } from '@ai-sdk/openai';2import { metorialAiSdk } from '@metorial/ai-sdk';3import { Metorial } from 'metorial';4import { generateText } from 'ai';56let metorial = new Metorial();78metorial.withProviderSession(9 metorialAiSdk,10 { serverDeployments: ['svd_0mc3666xcjIXheRxvzpZzK'] },11 async session => {12 let result = await generateText({13 model: openai('gpt-4o'),14 prompt: 'What is the capital of Indonesia?',15 maxSteps: 10,16 tools: session.tools17 });1819 console.log(result.text);20 }21);
1from metorial import Metorial2from anthropic import Anthropic34metorial = Metorial(api_key="...your-metorial-api-key...")5anthropic = AsyncAnthropic(api_key="...your-anthropic-api-key...")67response = metorial.run(8 query='''Research my 2 PM meeting attendees using Exa,9 create a prep doc in Google Drive,10 and share it in #sales Slack channel.''',11 server_deployments=['google_calendar', 'slack', 'exa', 'google_drive'],12 client=anthropic,13 model="claude-sonnet-4-5-20250929",14 max_steps=25,15 # You can optionally specify which tools to enable.16 # tools: [17 # 'list_events', // Google Calendar18 # 'get_event_details', // Google Calendar19 # 'search_web', // Exa20 # ...21 # ],22)2324print(response)25
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