Developer platform

OpenAI SDK integration guide

Fetch TrendsAGI context before each reasoning step and inject structured summaries into OpenAI tool calls or system prompts. This page lists the required credentials, setup example, mapped endpoints, and production notes.

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Base URL

https://api.trendsagi.com

114

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Framework

OpenAI SDK

Inject live context into OpenAI agent prompts

Fetch TrendsAGI context before each reasoning step and inject structured summaries into OpenAI tool calls or system prompts.

Install

# Install your preferred OpenAI SDK package
# Call TrendsAGI over HTTPS directly

Required credentials

OPENAI_API_KEY
TRENDSAGI_API_KEY

Quick Start · typescript

import OpenAI from "openai";

async function main() {
  const openaiKey = process.env.OPENAI_API_KEY;
  const trendsKey = process.env.TRENDSAGI_API_KEY;
  if (!openaiKey || !trendsKey) throw new Error("Set OPENAI_API_KEY and TRENDSAGI_API_KEY first");

  const openai = new OpenAI({ apiKey: openaiKey });
  const trendsUrl = new URL("/api/insights/search", process.env.API_BASE_URL ?? "https://api.trendsagi.com");
  trendsUrl.searchParams.set("q", "AI chips");

  const contextResponse = await fetch(trendsUrl, {
    headers: { Authorization: `Bearer ${trendsKey}` },
  });
  if (!contextResponse.ok) throw new Error(`Request failed: ${contextResponse.status}`);

  const context = await contextResponse.json();

  const response = await openai.responses.create({
    model: "gpt-5-mini",
    input: "Summarize with context: " + JSON.stringify((context.trends ?? []).slice(0, 3)),
  });

  console.log(response.output_text);
}

main().catch(console.error);

Run · bash

# Save as quickstart.mjs
node quickstart.mjs

1. Install

Add SDK/dependency for this integration path.

2. Authenticate

Set API key and any provider-specific credentials.

3. Map Endpoints

Use mapped endpoints below to build deterministic flow.

4. Harden

Add rate-limit backoff, idempotency, and safety gates.

Loading API docs...

import OpenAI from "openai"; async function main() { const openaiKey = process.env.OPENAI_API_KEY; const trendsKey = process.env.TRENDSAGI_API_KEY; if (!openaiKey || !trendsKey) throw new Error("Set OPENAI_API_KEY and TRENDSAGI_API_KEY first"); const openai = new OpenAI({ apiKey: openaiKey }); const trendsUrl = new URL("/api/insights/search", process.env.API_BASE_URL ?? "https://api.trendsagi.com"); trendsUrl.searchParams.set("q", "AI chips"); const contextResponse = await fetch(trendsUrl, { headers: { Authorization: `Bearer ${trendsKey}` }, }); if (!contextResponse.ok) throw new Error(`Request failed: ${contextResponse.status}`); const context = await contextResponse.json(); const response = await openai.responses.create({ model: "gpt-5-mini", input: "Summarize with context: " + JSON.stringify((context.trends ?? []).slice(0, 3)), }); console.log(response.output_text); } main().catch(console.error);

OpenAI SDK integration guide

OpenAI SDK

Endpoint Mapping

Production Notes

OpenAI SDK integration guide

OpenAI SDK

Endpoint Mapping

Production Notes