Chat

curl -X POST https://api.tokgate.io/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-***" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [
      {"role": "system", "content": "You are a rigorous technical assistant"},
      {"role": "user", "content": "Explain what nucleus sampling is"}
    ],
    "temperature": 0.7,
    "max_tokens": 1024
  }'

from openai import OpenAI

client = OpenAI(
    api_key="sk-***",
    base_url="https://api.tokgate.io/v1",
)

resp = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[
        {"role": "system", "content": "You are a rigorous technical assistant"},
        {"role": "user", "content": "Explain what nucleus sampling is"},
    ],
    temperature=0.7,
    max_tokens=1024,
)
print(resp.choices[0].message.content)
print(resp.usage)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.TOKGATE_API_KEY,
  baseURL: "https://api.tokgate.io/v1",
});

const resp = await client.chat.completions.create({
  model: "deepseek-v4-pro",
  messages: [
    { role: "system", content: "You are a rigorous technical assistant" },
    { role: "user", content: "Explain what nucleus sampling is" },
  ],
  temperature: 0.7,
  max_tokens: 1024,
});
console.log(resp.choices[0].message.content);

{
  "id": "chatcmpl-xxxxxxxx",
  "object": "chat.completion",
  "created": 1779348818,
  "model": "deepseek-v4-pro",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Nucleus sampling (top-p) is...",
        "reasoning_content": null,
        "tool_calls": null
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 42,
    "completion_tokens": 186,
    "total_tokens": 228,
    "prompt_tokens_details": { "cached_tokens": 0 },
    "completion_tokens_details": { "reasoning_tokens": 0 }
  },
  "system_fingerprint": null
}

stream = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "Tell a short story about overseas expansion"}],
    stream=True,
    stream_options={"include_usage": True},
)
for chunk in stream:
    if chunk.choices:
        print(chunk.choices[0].delta.content or "", end="", flush=True)

const stream = await client.chat.completions.create({
  model: "deepseek-v4-pro",
  messages: [{ role: "user", content: "Tell a short story about overseas expansion" }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"role":"assistant","content":""},"finish_reason":null}]}

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"Once"},"finish_reason":null}]}

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: [DONE]

{
  "model": "deepseek-v4-pro",
  "messages": [{"role": "user", "content": "What's the weather in Shenzhen right now?"}],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "description": "Get the real-time weather of a given city",
        "parameters": {
          "type": "object",
          "properties": {
            "city": {"type": "string", "description": "City name, e.g. Shenzhen"}
          },
          "required": ["city"]
        }
      }
    }
  ],
  "tool_choice": "auto"
}

curl -X POST https://api.tokgate.io/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: sk-***" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-sonnet-4.6",
    "max_tokens": 1024,
    "system": "You are a rigorous technical assistant",
    "messages": [
      {"role": "user", "content": "Explain what nucleus sampling is"}
    ]
  }'

from anthropic import Anthropic

client = Anthropic(
    api_key="sk-***",
    base_url="https://api.tokgate.io",
)

msg = client.messages.create(
    model="claude-sonnet-4.6",
    max_tokens=1024,
    system="You are a rigorous technical assistant",
    messages=[{"role": "user", "content": "Explain what nucleus sampling is"}],
)
print(msg.content[0].text)
print(msg.usage)

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({
  apiKey: process.env.TOKGATE_API_KEY,
  baseURL: "https://api.tokgate.io",
});

const msg = await client.messages.create({
  model: "claude-sonnet-4.6",
  max_tokens: 1024,
  system: "You are a rigorous technical assistant",
  messages: [{ role: "user", content: "Explain what nucleus sampling is" }],
});
console.log(msg.content[0].text);

{
  "id": "msg_xxxxxxxx",
  "type": "message",
  "role": "assistant",
  "model": "claude-sonnet-4-6",
  "content": [
    { "type": "text", "text": "Nucleus sampling (top-p) is..." }
  ],
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": {
    "input_tokens": 38,
    "output_tokens": 174,
    "cache_creation_input_tokens": 0,
    "cache_read_input_tokens": 0
  }
}

event: message_start
data: {"type":"message_start","message":{"id":"msg_xxx","role":"assistant","content":[],"usage":{"input_tokens":38,"output_tokens":0}}}

event: content_block_start
data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"nucleus"}}

event: content_block_stop
data: {"type":"content_block_stop","index":0}

event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"end_turn"},"usage":{"output_tokens":174}}

event: message_stop
data: {"type":"message_stop"}

curl -X POST "https://api.tokgate.io/v1beta/models/YOUR_GEMINI_MODEL_ID:generateContent" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-***" \
  -d '{
    "systemInstruction": {"parts": [{"text": "You are a rigorous technical assistant"}]},
    "contents": [{"role": "user", "parts": [{"text": "Explain nucleus sampling"}]}],
    "generationConfig": {"temperature": 0.7, "maxOutputTokens": 1024}
  }'