API Blibs — Developer Integration Guide

https://eu.router.trooper.ai/v1

Authorization: Bearer YOUR_TROOPER_KEY

{
  "object": "list",
  "data": [
    {
      "id": "clara",
      "object": "model",
      "owned_by": "trooper_42",
      "created": 1700000000,
      "base_models": ["Ministral-3"],
      "context_length": 131072,
      "max_tokens": 131072,
      "capabilities": {
        "tools": true,
        "vision": true,
        "audio": false,
        "thinking": false,
        "json_mode": true,
        "token_budget": false
      },
      "supported_parameters": [
        "temperature", "top_p", "max_tokens", "stream",
        "response_format", "tools", "tool_choice"
      ]
    }
  ]
}

{ "stream": true }

{ "response_format": { "type": "json_object" } }

{
  "response_format": {
    "type": "json_schema",
    "json_schema": {
      "name": "my_schema",
      "schema": {
        "type": "object",
        "properties": {
          "name": { "type": "string" },
          "age": { "type": "integer" }
        },
        "required": ["name", "age"]
      }
    }
  }
}

{
  "messages": [{
    "role": "user",
    "content": [
      { "type": "image_url", "image_url": { "url": "https://example.com/photo.jpg" } },
      { "type": "text", "text": "Describe this image." }
    ]
  }]
}

{
  "type": "image_url",
  "image_url": { "url": "data:image/png;base64,iVBOR..." }
}

{ "reasoning_effort": "medium" }

{ "reasoning_effort": "high" }

{ "reasoning": { "effort": "high" } }

{ "reasoning_effort": "none" }

{ "reasoning": { "effort": "high", "exclude": true } }

{
  "tools": [{
    "type": "function",
    "function": {
      "name": "get_weather",
      "description": "Get current weather for a location",
      "parameters": {
        "type": "object",
        "properties": {
          "location": { "type": "string" }
        },
        "required": ["location"]
      }
    }
  }],
  "tool_choice": "auto"
}

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1700000000,
  "model": "clara",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "Hello! How can I help you?"
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 8,
    "total_tokens": 20
  }
}

{
  "error": {
    "message": "The model 'nonexistent' does not exist.",
    "type": "invalid_request_error",
    "param": "model",
    "code": "model_not_found"
  }
}

from openai import OpenAI

client = OpenAI(
    base_url="https://router.trooper.ai/v1",
    api_key="YOUR_TROOPER_KEY"
)

response = client.chat.completions.create(
    model="clara",
    messages=[{"role": "user", "content": "Summarize this document."}],
    max_tokens=1024
)

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

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://router.trooper.ai/v1",
  apiKey: "YOUR_TROOPER_KEY",
});

const response = await client.chat.completions.create({
  model: "nikola",
  messages: [{ role: "user", content: "Write a unit test for this function." }],
  max_tokens: 2048,
});

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

from openai import OpenAI

client = OpenAI(
    base_url="https://router.trooper.ai/v1",
    api_key="YOUR_TROOPER_KEY"
)

stream = client.chat.completions.create(
    model="liv",
    messages=[{"role": "user", "content": "Explain quantum computing."}],
    max_tokens=2048,
    stream=True
)

for chunk in stream:
    content = chunk.choices[0].delta.content
    if content:
        print(content, end="", flush=True)

import json
from openai import OpenAI

client = OpenAI(
    base_url="https://router.trooper.ai/v1",
    api_key="YOUR_TROOPER_KEY"
)

response = client.chat.completions.create(
    model="clara",
    messages=[{"role": "user", "content": "List the 3 largest EU countries as JSON with name and population."}],
    max_tokens=512,
    response_format={"type": "json_object"}
)

data = json.loads(response.choices[0].message.content)
print(data)

from openai import OpenAI

client = OpenAI(
    base_url="https://router.trooper.ai/v1",
    api_key="YOUR_TROOPER_KEY"
)

response = client.chat.completions.create(
    model="clara",
    messages=[{
        "role": "user",
        "content": [
            {"type": "image_url", "image_url": {"url": "https://example.com/invoice.png"}},
            {"type": "text", "text": "Extract all line items from this invoice as JSON."}
        ]
    }],
    max_tokens=2048,
    response_format={"type": "json_object"}
)

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

from openai import OpenAI

client = OpenAI(
    base_url="https://router.trooper.ai/v1",
    api_key="YOUR_TROOPER_KEY"
)

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "Get weather for a location",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {"type": "string", "description": "City name"}
            },
            "required": ["location"]
        }
    }
}]

response = client.chat.completions.create(
    model="nikola",
    messages=[{"role": "user", "content": "What's the weather in Berlin?"}],
    tools=tools,
    tool_choice="auto",
    max_tokens=512
)

tool_calls = response.choices[0].message.tool_calls
if tool_calls:
    print(tool_calls[0].function.name, tool_calls[0].function.arguments)

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    base_url="https://router.trooper.ai/v1",
    api_key="YOUR_TROOPER_KEY",
    model="clara",
    max_tokens=1024
)

response = llm.invoke("Extract all dates from the following text: ...")
print(response.content)

from llama_index.llms.openai_like import OpenAILike

llm = OpenAILike(
    api_base="https://router.trooper.ai/v1",
    api_key="YOUR_TROOPER_KEY",
    model="nikola",
    max_tokens=2048
)

response = llm.complete("Explain the EU AI Act in simple terms.")
print(response.text)

curl https://router.trooper.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_TROOPER_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "clara",
    "messages": [{"role": "user", "content": "Hello!"}],
    "max_tokens": 512
  }'

# Before (OpenAI)
client = OpenAI(api_key="sk-...")

# After (Trooper.AI)
client = OpenAI(
    base_url="https://router.trooper.ai/v1",
    api_key="YOUR_TROOPER_KEY"
)