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Baichuan integration

Baichuan Intelligence's large language model API for Chinese and multilingual text generation, conversation, and AI tasks. Access Baichuan4, Baichuan4-Turbo, Baichuan4-Air, Baichuan3-Turbo, Baichuan3-Turbo-128k, and Baichuan2-Turbo models for chatbots, content creation, and embeddings. OpenAI-compatible API format.

3 toolsTokenAPI docs

Common Baichuan use cases

  • Building semantic search engines
  • Building chatbots and virtual assistants
  • Creating responsive chat interfaces with live typing effects
  • Implementing document similarity matching
  • Building real-time conversation applications
  • Creating interactive customer support systems
  • Creating recommendation systems
  • Developing conversational AI applications
  • Implementing progressive content generation
  • Clustering and categorizing text content

What you can do with Baichuan

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Chat, 2 operations

  • POSTchat_completions

    Generate conversational responses using Baichuan models with customizable parameters.

  • POSTchat_completions_stream

    Stream chat responses in real-time for improved user experience.

Embedding, 1 operation

  • POSTembeddings

    Convert text into high-dimensional vector representations for semantic analysis.

Use Baichuan from Claude Code, Cursor or Codex

Connect Baichuan in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Baichuan operations become tools the client can call, next to every other integration you connected.

Claude Code
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"
Codex (~/.codex/config.toml)
[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"
Cursor, Claude Desktop and other JSON configs
{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Baichuan

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect Baichuan once

    Add your Baichuan connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.

  3. Describe the job in chat

    The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Baichuan integration FAQ

What can you do with the Baichuan integration?
LiveContext exposes 3 operations on Baichuan, covering chat and embedding. Common uses include Building semantic search engines, Building chatbots and virtual assistants and Creating responsive chat interfaces with live typing effects.

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