GPT-6 Astra
Neon AI Gateway provides GPT-6 Astra by OpenAI. The model supports text, image, pdf inputs and a 1.1M context window.
Command
Section titled “Command”Text generation
Section titled “Text generation”AI SDK
Section titled “AI SDK”Install:
npm i ai @neondatabase/ai-sdk-providerimport { generateText } from "ai";
import { neon } from "@neondatabase/ai-sdk-provider";
const { text } = await generateText({
model: neon("gpt-6-astra"),
prompt: "Explain Serverless Postgres.",
});
console.log(text);Mastra
Section titled “Mastra”Install:
npm i @mastra/coreimport { Agent } from "@mastra/core/agent";
const agent = new Agent({
id: "neon-demo",
name: "neon-demo",
instructions: "You are a helpful assistant.",
model: "neon/gpt-6-astra",
});
const { text } = await agent.generate("Explain Serverless Postgres.");
console.log(text);TypeScript
Section titled “TypeScript”Install:
npm i openaiimport OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.NEON_AI_GATEWAY_TOKEN,
baseURL: `${process.env.NEON_AI_GATEWAY_BASE_URL}/v1`,
});
const resp = await client.chat.completions.create({
model: "gpt-6-astra",
messages: [{ role: "user", content: "Explain Serverless Postgres." }],
});
console.log(resp.choices[0].message.content);Python
Section titled “Python”Install:
pip install openaiimport os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["NEON_AI_GATEWAY_TOKEN"],
base_url=f"{os.environ['NEON_AI_GATEWAY_BASE_URL']}/v1",
)
resp = client.chat.completions.create(
model="gpt-6-astra",
messages=[{"role": "user", "content": "Explain Serverless Postgres."}],
)
print(resp.choices[0].message.content)curl "${NEON_AI_GATEWAY_BASE_URL}/v1/chat/completions" \
-H "Authorization: Bearer ${NEON_AI_GATEWAY_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-6-astra",
"messages": [{"role": "user", "content": "Explain Serverless Postgres."}]
}'Image generation
Section titled “Image generation”AI SDK
Section titled “AI SDK”Install:
npm i ai @neondatabase/ai-sdk-providerimport { streamText } from "ai";
import { neon } from "@neondatabase/ai-sdk-provider";
const result = streamText({
model: neon("gpt-6-astra"),
prompt: "A red apple on a wooden table.",
tools: {
image_generation: neon.tools.imageGeneration({ outputFormat: "jpeg" }),
},
});
for await (const _ of result.textStream) {}
const images = (await result.toolResults).filter((r) => r.toolName === "image_generation");
console.log(images.length);Mastra
Section titled “Mastra”Install:
npm i @mastra/core ai @neondatabase/ai-sdk-providerimport { Agent } from "@mastra/core/agent";
import { neon } from "@neondatabase/ai-sdk-provider";
const agent = new Agent({
id: "neon-demo",
name: "neon-demo",
instructions: "Generate the image the user asks for.",
model: "neon/gpt-6-astra",
tools: { image_generation: neon.tools.imageGeneration({ outputFormat: "jpeg" }) },
});
const { toolResults } = await agent.generate("A red apple on a wooden table.");
const images = toolResults.filter((r) => r.payload.toolName === "image_generation");
console.log(images.map((r) => r.payload.result.result.length));TypeScript
Section titled “TypeScript”Install:
npm i openaiimport OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.NEON_AI_GATEWAY_TOKEN,
baseURL: `${process.env.NEON_AI_GATEWAY_BASE_URL}/openai/v1`,
});
const stream = client.responses.stream({
model: "gpt-6-astra",
input: "A red apple on a wooden table.",
tools: [{ type: "image_generation" }],
});
const response = await stream.finalResponse();
const sizes = response.output.flatMap((item) => {
if (item.type !== "image_generation_call") return [];
if (!("result" in item) || typeof item.result !== "string") return [];
return [item.result.length];
});
console.log(sizes);Python
Section titled “Python”Install:
pip install openaiimport os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["NEON_AI_GATEWAY_TOKEN"],
base_url=f"{os.environ['NEON_AI_GATEWAY_BASE_URL']}/openai/v1",
)
with client.responses.stream(
model="gpt-6-astra",
input="A red apple on a wooden table.",
tools=[{"type": "image_generation"}],
) as stream:
for _ in stream:
pass
response = stream.get_final_response()
sizes = [
len(item.result)
for item in response.output
if item.type == "image_generation_call" and getattr(item, "result", None)
]
print(sizes)Environment variables
# Injected by `neon env pull` when AI Gateway is enabled on the branch (neon.ts preview.aiGateway).
# Neon injects ONLY the NEON_AI_GATEWAY_* vars (not OPENAI_*). Build the OpenAI SDK / curl
# apiKey + baseURL from them: apiKey = NEON_AI_GATEWAY_TOKEN (the bearer, nt_live_...).
#
# NEON_AI_GATEWAY_BASE_URL is the bare gateway host (no path). Append the route you need:
# - `/v1` - unified Chat Completions and `/v1/embeddings`
# - `/openai/v1` - OpenAI Responses API
# @neondatabase/ai-sdk-provider and Mastra route requests automatically.
NEON_AI_GATEWAY_TOKEN=nt_live_...
NEON_AI_GATEWAY_BASE_URL=https://<branch-id>-api.ai.<cell>.<region>.<cloud>.neon.techModel ID
Section titled “Model ID”gpt-6-astra
Provider
Section titled “Provider”OpenAI provides GPT-6 Astra. Access the model through the Neon AI Gateway using chat/completions and openai/responses.
Inputs
Section titled “Inputs”Text, image, pdf
Context
Section titled “Context”1.1M
Released
Section titled “Released”Sep 2026
Input /M
Section titled “Input /M”$10
Output /M
Section titled “Output /M”$50
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