gpt-5-chat

completions

byopenai

gpt-5-chat

completions

Published by: openaiProvider:

openai

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.

Context

400K

Input

$1.25 / 1M tokens

Output

$10 / 1M tokens

Cached

$0.13 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

Context: 400K Input: $1.25 / 1M tokensOutput: $10 / 1M tokensCached: $0.13 / 1M tokensCapabilities: toolsAccepts: text, imageReturns: text

Access gpt-5-chat through LangDB AI Gateway

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Code Examples

Integration samples and API usage

Code Samples for gpt-5-chat

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="gpt-5-chat",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "gpt-5-chat",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5-chat",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gpt-5-chat

Provider: openai

API Endpoint: $https://api.us-east-1.langdb.ai

Create API Key

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