gpt-oss-120b

Technical Specifications of gpt-oss-120b

What is gpt-oss-120b?

gpt-oss-120b is an artificial intelligence model provided by cloudflare-workers-ai. Through CometAPI, developers can access gpt-oss-120b using a unified API format that simplifies integration across multiple AI providers.

This model can be used in applications such as text generation, conversational experiences, content transformation, summarization, classification, and other natural language processing workflows depending on your implementation design.

Main features of gpt-oss-120b

• Unified API access: Use gpt-oss-120b through CometAPI’s standardized interface without needing to manage provider-specific integration complexity.
• Text-to-text interaction: Send text input and receive text output for a wide range of application scenarios.
• Developer-friendly integration: Add gpt-oss-120b to new or existing systems with familiar API request patterns.
• Multi-provider workflow compatibility: CometAPI makes it easier to work with different models under a consistent integration approach.
• Scalable application support: gpt-oss-120b can be incorporated into production workflows that require reliable API-driven AI capabilities.

How to access and integrate gpt-oss-120b

Step 1: Sign Up for API Key

Sign up on CometAPI and create your API key from the dashboard. After generating the key, store it securely and use it to authenticate all requests to the CometAPI endpoint.

Step 2: Send Requests to gpt-oss-120b API

Use CometAPI’s OpenAI-compatible API format to send requests to gpt-oss-120b. Replace YOUR_COMETAPI_KEY with your actual API key.

curl https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_COMETAPI_KEY" \
  -d '{
    "model": "gpt-oss-120b",
    "messages": [
      {
        "role": "user",
        "content": "Hello! Can you introduce yourself?"
      }
    ]
  }'

Step 3: Retrieve and Verify Results

After sending your request, CometAPI will return the model response in a structured JSON format. Parse the response content from the returned payload, verify that the model field is gpt-oss-120b, and then pass the result into your application workflow or user interface.