Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.traceport.ai/llms.txt

Use this file to discover all available pages before exploring further.

The Traceport Gateway API provides an OpenAI-compatible interface that supports multiple LLM providers (OpenAI, Anthropic, Google, Bedrock) through a single set of endpoints.

​
Base URL

https://api.traceport.ai/v1

​
Authentication

All endpoints require API key authentication via the Authorization header: 
Authorization: Bearer <YOUR_TRACEPORT_API_KEY>
You can generate API keys from the API Keys section in the Traceport dashboard.

​
Available Endpoints

Chat Completions

Create chat completions with streaming support.

Embeddings

Generate text embedding vectors.

Batches

Create and manage batch processing jobs.

Files

Upload and manage files for batch processing.

Workflows

Execute server-side workflows.

Prompts

Run published prompt templates via API.

Real-time & WebSockets

Build interactive, low-latency AI applications with persistent connections.

​
OpenAI SDK Compatibility

Because the Traceport Gateway is OpenAI-compatible, you can use standard SDKs by simply changing the base_url: 
from openai import OpenAI

client = OpenAI(
    api_key="<YOUR_TRACEPORT_API_KEY>",
    base_url="https://api.traceport.ai/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)