> ## Documentation Index
> Fetch the complete documentation index at: https://portkey-docs-mintlify-gateway-updates-1774431741.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Latitude AI

> Use Latitude AI's OpenAI-compatible inference for chat completions, tool calling, and structured output through Portkey.

## Quick start

Get started with Latitude AI in under 2 minutes:

<CodeGroup>
  ```python Python icon="python" theme={null}
  from portkey_ai import Portkey

  # 1. Install: pip install portkey-ai
  # 2. Add @latitude provider in model catalog
  # 3. Use it:

  portkey = Portkey(api_key="PORTKEY_API_KEY")

  response = portkey.chat.completions.create(
      model="@latitude/qwen-2.5-7b",
      messages=[{"role": "user", "content": "Hello!"}]
  )

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

  ```js Javascript icon="square-js" theme={null}
  import Portkey from 'portkey-ai'

  // 1. Install: npm install portkey-ai
  // 2. Add @latitude provider in model catalog
  // 3. Use it:

  const portkey = new Portkey({
      apiKey: "PORTKEY_API_KEY"
  })

  const response = await portkey.chat.completions.create({
      model: "@latitude/qwen-2.5-7b",
      messages: [{ role: "user", content: "Hello!" }]
  })

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

  ```python OpenAI Py icon="python" theme={null}
  from openai import OpenAI
  from portkey_ai import PORTKEY_GATEWAY_URL

  # 1. Install: pip install openai portkey-ai
  # 2. Add @latitude provider in model catalog
  # 3. Use it:

  client = OpenAI(
      api_key="PORTKEY_API_KEY",  # Portkey API key
      base_url=PORTKEY_GATEWAY_URL
  )

  response = client.chat.completions.create(
      model="@latitude/qwen-2.5-7b",
      messages=[{"role": "user", "content": "Hello!"}]
  )

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

  ```js OpenAI JS icon="square-js" theme={null}
  import OpenAI from "openai"
  import { PORTKEY_GATEWAY_URL } from "portkey-ai"

  // 1. Install: npm install openai portkey-ai
  // 2. Add @latitude provider in model catalog
  // 3. Use it:

  const client = new OpenAI({
      apiKey: "PORTKEY_API_KEY",  // Portkey API key
      baseURL: PORTKEY_GATEWAY_URL
  })

  const response = await client.chat.completions.create({
      model: "@latitude/qwen-2.5-7b",
      messages: [{ role: "user", content: "Hello!" }]
  })

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

  ```sh cURL icon="square-terminal" theme={null}
  # 1. Add @latitude provider in model catalog
  # 2. Use it:

  curl https://api.portkey.ai/v1/chat/completions \
    -H "Content-Type: application/json" \
    -H "x-portkey-api-key: $PORTKEY_API_KEY" \
    -d '{
      "model": "@latitude/qwen-2.5-7b",
      "messages": [{"role": "user", "content": "Hello!"}]
    }'
  ```
</CodeGroup>

## Add provider in model catalog

Before making requests, add Latitude AI to your Model Catalog:

1. Go to [**Model Catalog → Add Provider**](https://app.portkey.ai/model-catalog/providers)
2. Select **Latitude**
3. Enter your [Latitude AI API key](https://ai.latitude.sh)
4. Name your provider (e.g., `latitude`)

<Card title="Complete Setup Guide" icon="book" href="/product/model-catalog">
  See all setup options and detailed configuration instructions
</Card>

***

## Latitude AI capabilities

### Tool calling

Use Latitude AI's tool calling feature to trigger external functions:

<CodeGroup>
  ```python Python theme={null}
  from portkey_ai import Portkey

  portkey = Portkey(api_key="PORTKEY_API_KEY")

  tools = [{
      "type": "function",
      "function": {
          "name": "getWeather",
          "description": "Get the current weather",
          "parameters": {
              "type": "object",
              "properties": {
                  "location": {"type": "string", "description": "City and state"},
                  "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
              },
              "required": ["location"]
          }
      }
  }]

  response = portkey.chat.completions.create(
      model="@latitude/qwen-2.5-7b",
      messages=[
          {"role": "system", "content": "You are a helpful assistant."},
          {"role": "user", "content": "What's the weather like in Delhi?"}
      ],
      tools=tools,
      tool_choice="auto"
  )

  print(response.choices[0].finish_reason)
  ```

  ```javascript Node.js theme={null}
  import Portkey from 'portkey-ai';

  const portkey = new Portkey({
      apiKey: 'PORTKEY_API_KEY'
  });

  const tools = [{
      type: "function",
      function: {
          name: "getWeather",
          description: "Get the current weather",
          parameters: {
              type: "object",
              properties: {
                  location: { type: "string", description: "City and state" },
                  unit: { type: "string", enum: ["celsius", "fahrenheit"] }
              },
              required: ["location"]
          }
      }
  }];

  const response = await portkey.chat.completions.create({
      model: "@latitude/qwen-2.5-7b",
      messages: [
          { role: "system", content: "You are a helpful assistant." },
          { role: "user", content: "What's the weather like in Delhi?" }
      ],
      tools,
      tool_choice: "auto"
  });

  console.log(response.choices[0].finish_reason);
  ```
</CodeGroup>

### JSON output

Force structured JSON responses from Latitude AI models:

<CodeGroup>
  ```python Python theme={null}
  from portkey_ai import Portkey

  portkey = Portkey(api_key="PORTKEY_API_KEY")

  response = portkey.chat.completions.create(
      model="@latitude/qwen-2.5-7b",
      messages=[
          {"role": "system", "content": "Respond in JSON format with keys: answer, confidence"},
          {"role": "user", "content": "What is the capital of France?"}
      ],
      response_format={"type": "json_object"}
  )

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

  ```javascript Node.js theme={null}
  import Portkey from 'portkey-ai';

  const portkey = new Portkey({
      apiKey: 'PORTKEY_API_KEY'
  });

  const response = await portkey.chat.completions.create({
      model: "@latitude/qwen-2.5-7b",
      messages: [
          { role: "system", content: "Respond in JSON format with keys: answer, confidence" },
          { role: "user", content: "What is the capital of France?" }
      ],
      response_format: { type: "json_object" }
  });

  console.log(response.choices[0].message.content);
  ```
</CodeGroup>

***

## Supported models

| Model                     | Context | Features                    |
| ------------------------- | ------- | --------------------------- |
| `qwen-2.5-7b`             | 131K    | Tools, JSON mode            |
| `llama-3.1-8b`            | 128K    | Tools, JSON mode            |
| `qwen3-32b`               | 131K    | Tools, JSON mode            |
| `gemma-2-27b`             | 8K      | Tools, JSON mode            |
| `deepseek-r1-distill-14b` | 64K     | Tools, JSON mode, Reasoning |
| `qwen2.5-coder-32b`       | 131K    | Tools, JSON mode            |
| `qwen-2.5-vl-7b`          | 32K     | Tools, JSON mode, Vision    |

<Card title="Latitude AI Models" icon="list" href="https://ai.latitude.sh">
  View the complete list of models available on Latitude AI
</Card>

***

## Next steps

<CardGroup cols={2}>
  <Card title="Gateway Configs" icon="sliders" href="/product/ai-gateway">
    Add fallbacks, load balancing, and more
  </Card>

  <Card title="Observability" icon="chart-line" href="/product/observability">
    Monitor and trace your Latitude AI requests
  </Card>

  <Card title="Prompt Library" icon="book" href="/product/prompt-engineering-studio">
    Manage and version your prompts
  </Card>

  <Card title="Metadata" icon="tag" href="/product/observability/metadata">
    Add custom metadata to requests
  </Card>
</CardGroup>

For complete SDK documentation:

<Card title="SDK Reference" icon="code" href="/api-reference/sdk/list">
  Complete Portkey SDK documentation
</Card>