+
+ Agent quickstart
+ After you create a key
+
+
Build a private research agent
+
+ Use any OpenAI-compatible client, point it at Venice, then turn on Venice-native tools like server-side web search with venice_parameters.
+
+
+
+ 1
+ Set your key
+ export VENICE_API_KEY="your-api-key"
+
+
+ 2
+ Install the client
+ npm install openai
+
+
+
{`import OpenAI from "openai";
+
+const venice = new OpenAI({
+ apiKey: process.env.VENICE_API_KEY,
+ baseURL: "https://api.venice.ai/api/v1",
+});
+
+const response = await venice.chat.completions.create({
+ model: "zai-org-glm-5-1",
+ messages: [
+ {
+ role: "system",
+ content: "You are a private research agent. Cite sources and be concise.",
+ },
+ {
+ role: "user",
+ content: "Find the latest private AI agent patterns and summarize the tradeoffs.",
+ },
+ ],
+ // @ts-expect-error - Venice-specific parameter
+ venice_parameters: {
+ enable_web_search: "auto",
+ enable_web_citations: true,
+ },
+});
+
+console.log(response.choices[0].message.content);`}
+
Explore agent workflows →
+
Loading models...
diff --git a/overview/about-venice.mdx b/overview/about-venice.mdx
index 556bdbc6..f191b43e 100644
--- a/overview/about-venice.mdx
+++ b/overview/about-venice.mdx
@@ -1,6 +1,5 @@
---
title: Venice API
-description: "Venice API documentation — private, unrestricted access to OpenAI-compatible chat, image, audio, and video models behind one API key."
"og:title": "Venice API Docs"
mode: "wide"
---
@@ -14,47 +13,6 @@ mode: "wide"
-