OpenAI SDK

Overview

TokenLab works with the official OpenAI SDKs by pointing the client to https://api.tokenlab.sh/v1. For most new projects, prefer Chat Completions as the default OpenAI-compatible path. Use Responses API only when you explicitly need Responses-specific behavior. Responses-specific fields are not guaranteed to behave identically across every model and routed path.

Python, JavaScript, and Go have official OpenAI SDKs. PHP works well with OpenAI-compatible community clients, but it is not an official OpenAI SDK.

Type: Native SDKPrimary Path: OpenAI-compatible / Chat CompletionsSupport Confidence: Supported core path

Installation

pip install openai

npm install openai

go get github.com/openai/openai-go/v3

Use POST /v1/responses only when you explicitly need Responses-specific behavior. Some Responses-only fields can still depend on the selected model and routed path.

Configure the Client

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-tokenlab-key",
    base_url="https://api.tokenlab.sh/v1",
)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'sk-your-tokenlab-key',
  baseURL: 'https://api.tokenlab.sh/v1',
});

package main

import (
    openai "github.com/openai/openai-go/v3"
    "github.com/openai/openai-go/v3/option"
)

func main() {
    client := openai.NewClient(
        option.WithAPIKey("sk-your-tokenlab-key"),
        option.WithBaseURL("https://api.tokenlab.sh/v1"),
    )

    _ = client
}

Recommended: Chat Completions

response = client.chat.completions.create(
    model="gpt-5.4",
    messages=[{"role": "user", "content": "Explain what TokenLab does in one sentence."}]
)

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

const response = await client.chat.completions.create({
  model: 'gpt-5.4',
  messages: [{ role: 'user', content: 'Explain what TokenLab does in one sentence.' }],
});

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

curl https://api.tokenlab.sh/v1/chat/completions \
  -H "Authorization: Bearer sk-your-tokenlab-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4",
    "messages": [
      {"role": "user", "content": "Explain what TokenLab does in one sentence."}
    ]
  }'

Advanced: Responses API

Use this path only when your tool or workflow explicitly depends on OpenAI Responses semantics.

Streaming with Responses

stream = client.responses.create(
    model="gpt-5.4",
    input="Write a short poem about coding.",
    stream=True,
)

for event in stream:
    if event.type == "response.output_text.delta":
        print(event.delta, end="")

const stream = await client.responses.create({
  model: 'gpt-5.4',
  input: 'Write a short poem about coding.',
  stream: true,
});

for await (const event of stream) {
  if (event.type === 'response.output_text.delta') {
    process.stdout.write(event.delta);
  }
}

Tools / Function Calling

response = client.responses.create(
    model="gpt-5.4",
    input="What's the weather in Tokyo?",
    tools=[{
        "type": "function",
        "name": "get_weather",
        "description": "Get weather for a location",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {"type": "string"}
            },
            "required": ["location"]
        }
    }]
)

for item in response.output:
    if item.type == "function_call":
        print(item.name)
        print(item.arguments)

Vision with Responses

response = client.responses.create(
    model="gpt-4o",
    input=[{
        "role": "user",
        "content": [
            {"type": "input_text", "text": "What's in this image?"},
            {"type": "input_image", "image_url": "https://example.com/image.jpg"}
        ]
    }]
)

print(response.output_text)

Embeddings

response = client.embeddings.create(
    model="text-embedding-3-small",
    input="Hello world"
)

print(response.data[0].embedding[:5])

Chat Completions

Chat Completions is the default OpenAI-compatible path for TokenLab:

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"}
    ]
)

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

Troubleshooting

Connection Error

Verify the base URL is exactly https://api.tokenlab.sh/v1
Check for proxy interference or custom HTTP client overrides
Make sure your SDK version is current before debugging provider behavior

Authentication Failed

Check that your API key starts with sk-
Verify the key is active in TokenLab dashboard
Confirm the SDK is sending Authorization: Bearer ...

Wrong API Path

responses.create(...) sends requests to /v1/responses
chat.completions.create(...) sends requests to /v1/chat/completions
Use Chat Completions by default unless you explicitly need Responses-specific behavior

Compatibility Matrix

Coding Tools

Native SDKs

Frameworks & Platforms

Chat Apps

Overview

Installation

Configure the Client

Recommended: Chat Completions

Advanced: Responses API

Streaming with Responses

Tools / Function Calling

Vision with Responses

Embeddings

Chat Completions

Troubleshooting

​Overview

​Installation

​Configure the Client

​Recommended: Chat Completions

​Advanced: Responses API

​Streaming with Responses

​Tools / Function Calling

​Vision with Responses

​Embeddings

​Chat Completions

​Troubleshooting

Overview

Installation

Configure the Client

Recommended: Chat Completions

Advanced: Responses API

Streaming with Responses

Tools / Function Calling

Vision with Responses

Embeddings

Chat Completions

Troubleshooting