The Responses API is live on Cencori.

Until today, building an AI agent meant stitching together a chat completion call, a web search API, a vector database query, and a code sandbox — then writing orchestration logic to coordinate them. The Responses API collapses all of that into a single endpoint.

What Ships

POST /v1/responses — an OpenAI-compatible endpoint that unifies chat completions with four built-in agentic tools:

web_search_preview — The model searches the web, reads results, and synthesizes answers. Supports low/medium/high result density and approximate user location for localized results.
file_search — The model queries your Cencori project's stored memory and knowledge base. Results are injected as context automatically.
code_interpreter — The model writes and executes Python or JavaScript in a sandboxed environment. Output flows back into the conversation.
function — Standard tool calling works alongside built-in tools. Same format, same flow.

All four tools run through Cencori's existing infrastructure — the same security pipeline, end-user billing, rate limiting, audit logging, and provider failover that every other gateway request uses.

Usage

No new SDK version needed. The methods ship in the Cencori SDK you already have installed.

Codetext

import { Cencori } from 'cencori';
 
const cencori = new Cencori({ apiKey: process.env.CENCORI_API_KEY });
 
// Non-streaming
const response = await cencori.ai.responses({
  model: 'gpt-4o',
  input: 'Search the web for competitor Q3 benchmarks and compare them to our internal data.',
  tools: [
    { type: 'web_search_preview', search_context_size: 'high' },
    { type: 'file_search', max_num_results: 10 },
    { type: 'code_interpreter' },
  ],
});
 
// response.output contains the text answer, search results,
// retrieved documents, and code output
console.log(response.output[0].content?.[0]?.text);
 
// Streaming
const stream = cencori.ai.responsesStream({
  model: 'gpt-4o',
  input: 'Tell me a story.',
});
 
for await (const event of stream) {
  if (event.type === 'response.output_text.delta') {
    process.stdout.write(event.data.delta as string);
  }
}

Streaming

The Responses API supports typed server-sent events for every stage:

Codetext

response.output_text.delta
response.output_text.done
response.function_call_arguments.delta
response.function_call_arguments.done
response.web_search_call.completed
response.file_search_call.completed
response.code_interpreter_call.completed
response.done

OpenAI-Compatible

Existing OpenAI SDK users can point their clients at https://api.cencori.com/v1 and call client.responses.create() — no code changes beyond the base URL.

Docs

Building Agents with the Responses API — the front-facing guide
Responses API Reference — full request/response schema

The Responses API is available now on every Cencori plan. No configuration required — add the tools array and go.