# DeepSeek: Three Chinese Business Prompts

**Use case:** 

Process three supplied business topics through a Chinese-language prompt. Replace the input topics and prompt template with your own batch.

## Input

```json
{
  "items": [
    {
      "topic": "中国电商"
    },
    {
      "topic": "中国新能源汽车"
    },
    {
      "topic": "中国人工智能"
    }
  ],
  "datasetId": "12345678901234567",
  "fieldsToUse": [
    "topic"
  ],
  "promptTemplate": "用两句话解释{{topic}}的常见商业场景。",
  "responseMode": "text",
  "jsonSchema": {
    "type": "object",
    "properties": {
      "summary": {
        "type": "string"
      }
    },
    "required": [
      "summary"
    ],
    "additionalProperties": false
  },
  "deduplicate": true,
  "maxItems": 3,
  "baseUrl": "https://openrouter.ai/api/v1",
  "model": "deepseek/deepseek-v4-flash",
  "reasoningMode": "off",
  "maxOutputTokens": 768,
  "maxTotalTokens": 40000,
  "temperature": 0.2,
  "maxConcurrency": 1
}
```

## Output

```json
{
  "inputIndex": {
    "label": "inputIndex",
    "format": "number"
  },
  "input": {
    "label": "input",
    "format": "text"
  },
  "prompt": {
    "label": "prompt",
    "format": "text"
  },
  "model": {
    "label": "model",
    "format": "text"
  },
  "provider": {
    "label": "provider",
    "format": "text"
  },
  "answer": {
    "label": "answer",
    "format": "text"
  },
  "json": {
    "label": "json",
    "format": "text"
  },
  "tokensIn": {
    "label": "tokensIn",
    "format": "number"
  },
  "tokensOut": {
    "label": "tokensOut",
    "format": "number"
  },
  "reasoningTokens": {
    "label": "reasoningTokens",
    "format": "number"
  },
  "costUsd": {
    "label": "costUsd",
    "format": "number"
  },
  "costCny": {
    "label": "costCny",
    "format": "number"
  },
  "costSource": {
    "label": "costSource",
    "format": "text"
  },
  "priceDate": {
    "label": "Model price date",
    "format": "text"
  },
  "rateDate": {
    "label": "rateDate",
    "format": "text"
  },
  "rateSource": {
    "label": "rateSource",
    "format": "text"
  },
  "rateStale": {
    "label": "rateStale",
    "format": "boolean"
  },
  "latencyMs": {
    "label": "latencyMs",
    "format": "number"
  },
  "duplicateInputIndexes": {
    "label": "duplicateInputIndexes",
    "format": "text"
  },
  "finishReason": {
    "label": "finishReason",
    "format": "text"
  },
  "schemaVersion": {
    "label": "schemaVersion",
    "format": "text"
  },
  "type": {
    "label": "type",
    "format": "text"
  },
  "sourceUrl": {
    "label": "sourceUrl",
    "format": "text"
  },
  "found": {
    "label": "found",
    "format": "boolean"
  },
  "status": {
    "label": "status",
    "format": "text"
  },
  "resultCount": {
    "label": "resultCount",
    "format": "number"
  },
  "partial": {
    "label": "partial",
    "format": "boolean"
  },
  "error": {
    "label": "error",
    "format": "text"
  },
  "warnings": {
    "label": "warnings",
    "format": "text"
  },
  "checkedAt": {
    "label": "checkedAt",
    "format": "text"
  },
  "evidence": {
    "label": "evidence",
    "format": "text"
  },
  "confidence": {
    "label": "confidence",
    "format": "text"
  },
  "action": {
    "label": "action",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Chinese LLM Bulk Prompt Runner DeepSeek Qwen Kimi](https://apify.com/zinin/chinese-llm-bulk-prompt-runner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zinin/chinese-llm-bulk-prompt-runner.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/zinin/chinese-llm-bulk-prompt-runner.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).