deepseek

What this skill does

## Troubleshooting

If requests fail, run `zero doctor check-connector --env-name DEEPSEEK_TOKEN` or `zero doctor check-connector --url https://api.deepseek.com/chat/completions --method POST`

## How to Use

All examples below assume you have `DEEPSEEK_TOKEN` set.

The base URL for the DeepSeek API is:

- `https://api.deepseek.com` (recommended)
- `https://api.deepseek.com/v1` (OpenAI-compatible)

### 1. Basic Chat Completion

Send a simple chat message:

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-chat",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "Hello, who are you?"
    }
  ]
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/chat/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json
```

**Available models:**

- `deepseek-chat`: DeepSeek-V3.2 non-thinking mode (128K context, 8K max output)
- `deepseek-reasoner`: DeepSeek-V3.2 thinking mode (128K context, 64K max output)

### 2. Chat with Temperature Control

Adjust creativity/randomness with temperature:

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-chat",
  "messages": [
    {
      "role": "user",
      "content": "Write a short poem about coding."
    }
  ],
  "temperature": 0.7,
  "max_tokens": 200
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/chat/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json | jq -r '.choices[0].message.content'
```

**Parameters:**

- `temperature` (0-2, default 1): Higher = more creative, lower = more deterministic
- `top_p` (0-1, default 1): Nucleus sampling threshold
- `max_tokens`: Maximum tokens to generate

### 3. Streaming Response

Get real-time token-by-token output:

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-chat",
  "messages": [
    {
      "role": "user",
      "content": "Explain quantum computing in simple terms."
    }
  ],
  "stream": true
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/chat/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json
```

Streaming returns Server-Sent Events (SSE) with delta chunks, ending with `data: [DONE]`.

### 4. Deep Reasoning (Thinking Mode)

Use the reasoner model for complex reasoning tasks:

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-reasoner",
  "messages": [
    {
      "role": "user",
      "content": "What is 15 * 17? Show your work."
    }
  ]
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/chat/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json | jq -r '.choices[0].message.content'
```

The reasoner model excels at math, logic, and multi-step problems.

### 5. JSON Output Mode

Force the model to return valid JSON:

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-chat",
  "messages": [
    {
      "role": "system",
      "content": "You are a JSON generator. Always respond with valid JSON."
    },
    {
      "role": "user",
      "content": "List 3 programming languages with their main use cases."
    }
  ],
  "response_format": {
    "type": "json_object"
  }
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/chat/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json | jq -r '.choices[0].message.content'
```

### 6. Multi-turn Conversation

Continue a conversation with message history:

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-chat",
  "messages": [
    {
      "role": "user",
      "content": "My name is Alice."
    },
    {
      "role": "assistant",
      "content": "Nice to meet you, Alice."
    },
    {
      "role": "user",
      "content": "What is my name?"
    }
  ]
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/chat/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json | jq -r '.choices[0].message.content'
```

### 7. Code Completion (FIM)

Use Fill-in-the-Middle for code completion (beta endpoint):

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-chat",
  "prompt": "def add(a, b):\n ",
  "max_tokens": 20
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/beta/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json | jq -r '.choices[0].text'
```

FIM is useful for:
- Code completion in editors
- Filling gaps in documents
- Context-aware text generation

### 8. Function Calling (Tools)

Define functions the model can call:

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-chat",
  "messages": [
    {
      "role": "user",
      "content": "What is the weather in Tokyo?"
    }
  ],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "description": "Get the current weather for a location",
        "parameters": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string",
              "description": "The city name"
            }
          },
          "required": ["location"]
        }
      }
    }
  ]
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/chat/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json
```

The model will return a `tool_calls` array when it wants to use a function.

### 9. Check Token Usage

Extract usage information from response:

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-chat",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/chat/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json | jq '.usage'
```

Response includes:
- `prompt_tokens`: Input token count
- `completion_tokens`: Output token count
- `total_tokens`: Sum of both

## OpenAI SDK Compatibility

DeepSeek is fully compatible with OpenAI SDKs. Just change the base URL:

**Python:**
```python
from openai import OpenAI
client = OpenAI(api_key="your-deepseek-key", base_url="https://api.deepseek.com")
```

**Node.js:**
```javascript
import OpenAI from 'openai';
const client = new OpenAI({ apiKey: 'your-deepseek-key', baseURL: 'https://api.deepseek.com' });
```

## Tips: Complex JSON Payloads

For complex requests with nested JSON (like function calling), use a temp file to avoid shell escaping issues:

Write to `/tmp/deepseek_request.json`:

```json
{
  "model": "deepseek-chat",
  "messages": [{"role": "user", "content": "What is the weather in Tokyo?"}],
  "tools": [{
    "type": "function",
    "function": {
      "name": "get_weather",
      "description": "Get current weather",
      "parameters": {
        "type": "object",
        "properties": {"location": {"type": "string"}},
        "required": ["location"]
      }
    }
  }]
}
```

Then run:

```bash
curl -s "https://api.deepseek.com/chat/completions" -X POST -H "Content-Type: application/json" -H "Authorization: Bearer $DEEPSEEK_TOKEN" -d @/tmp/deepseek_request.json
```

## Guidelines

1. **Choose the right model**: Use `deepseek-chat` for general tasks, `deepseek-reasoner` for complex reasoning
2. **Use caching**: Repeated prompts with same prefix benefit from cache pricing ($0.028 vs $0.28)
3. **Set max_tokens**: Prevent runaway generation by setting appropriate limits
4. **Use streaming for long responses**: Better UX for real-time applications
5. **JSON