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

# Dashscope

> Integrate Dashscope with Prisma AIRS AI Gateway for seamless completions, embeddings, and advanced features.

## Quick Start

Get started with Dashscope in under 2 minutes:

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

curl https://aigw.portkey.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PORTKEY_API_KEY" \
  -d '{
    "model": "@dashscope/qwen-turbo",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
```

```python OpenAI Py icon="python" theme={"system"}
from openai import OpenAI

# 1. Install: pip install openai
# 2. Add @dashscope provider in model catalog
# 3. Use it:

client = OpenAI(
    api_key="PORTKEY_API_KEY",  # AI Gateway API key
    base_url="https://aigw.portkey.ai/v1"
)

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

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

```js OpenAI JS icon="square-js" theme={"system"}
import OpenAI from "openai"

// 1. Install: npm install openai
// 2. Add @dashscope provider in model catalog
// 3. Use it:

const client = new OpenAI({
    apiKey: "PORTKEY_API_KEY",  // AI Gateway API key
    baseURL: "https://aigw.portkey.ai/v1"
})

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

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

## Add Provider in Model Catalog

Before making requests, add Dashscope to your Model Catalog:

1. Go to [**Model Catalog → Add Provider**](https://stratacloudmanager.paloaltonetworks.com/)
2. Select **Dashscope**
3. Enter your [Dashscope API key](https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key)
4. Name your provider (e.g., `dashscope`)

> **[Complete Setup Guide](https://docs.portkey.ai/docs/aigw/product/model-catalog.md)**
>
> See all setup options and detailed configuration instructions

> **[Dashscope Documentation](https://help.aliyun.com/zh/model-studio/developer-reference/compatibility-of-openai-with-dashscope)**
>
> Explore the official Dashscope documentation

***

## Dashscope Capabilities

### Embeddings

Generate embeddings for text using Dashscope embedding models:

***

## Advanced Features

### Track End-User IDs

Monitor user-level costs and requests by passing user IDs:

> **[Learn More About Metadata](https://docs.portkey.ai/docs/aigw/product/observability/metadata.md)**
>
> Explore how to use custom metadata to enhance your request tracking and analysis

### Gateway Configurations

Use the AI Gateway features for advanced routing and reliability:

**Example: Conditional Routing**

```json theme={"system"}
{
  "strategy": {
    "mode": "conditional",
    "conditions": [
      {
        "query": { "metadata.user_plan": { "$eq": "paid" } },
        "then": "qwen-turbo"
      },
      {
        "query": { "metadata.user_plan": { "$eq": "free" } },
        "then": "gpt-3.5"
      }
    ],
    "default": "gpt-3.5"
  },
  "targets": [
    {
      "name": "qwen-turbo",
      "provider": "@dashscope"
    },
    {
      "name": "gpt-3.5",
      "provider": "@openai"
    }
  ]
}
```

> **[Load Balancing](https://docs.portkey.ai/docs/aigw/product/ai-gateway/load-balancing.md)**
>
> Distribute requests across multiple targets

> **[Fallbacks](https://docs.portkey.ai/docs/aigw/product/ai-gateway/fallbacks.md)**
>
> Automatically switch to backup targets

> **[Conditional Routing](https://docs.portkey.ai/docs/aigw/product/ai-gateway/conditional-routing.md)**
>
> Route requests based on conditions

> **[Caching](https://docs.portkey.ai/docs/aigw/product/ai-gateway/cache-simple-and-semantic.md)**
>
> Cache responses to reduce costs

### Guardrails

Enforce input/output checks with custom hooks:

```json theme={"system"}
{
  "provider": "@dashscope",
  "before_request_hooks": [{
    "id": "input-guardrail-id-xx"
  }],
  "after_request_hooks": [{
    "id": "output-guardrail-id-xx"
  }]
}
```

> **[Learn More About Guardrails](https://docs.portkey.ai/docs/aigw/product/guardrails.md)**
>
> Enhance security and reliability with AI Gateway Guardrails

***

## Next Steps

> **[Gateway Configs](https://docs.portkey.ai/docs/aigw/product/ai-gateway.md)**
>
> Add fallbacks, load balancing, and more

> **[Observability](https://docs.portkey.ai/docs/aigw/product/observability.md)**
>
> Monitor and trace your Dashscope requests

> **[Metadata](https://docs.portkey.ai/docs/aigw/product/observability/metadata.md)**
>
> Add custom metadata to requests

***

For the most up-to-date information on supported features and endpoints, please refer to our [API Reference](https://docs.portkey.ai/docs/aigw/api-reference/inference-api/introduction.md).


## Related topics

- [Enterprise Gateway](https://docs.portkey.ai/docs/changelog/enterprise.md)
- [Prisma AIRS AI Gateway Models](https://docs.portkey.ai/docs/aigw/product/model-catalog/gateway-models.md)
- [Overview](https://docs.portkey.ai/docs/aigw/integrations/llms.md)
- [Supported Providers](https://docs.portkey.ai/docs/aigw/api-reference/inference-api/supported-providers.md)


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