Integration

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.

Connect Baichuan How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Baichuan.Built from the 3 Baichuan tools below, on the connection you add once.

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

chat_completionsChat completionsPOSTGenerate conversational responses using Baichuan models with customizable parameters.
chat_completions_streamChat completions streamPOSTStream chat responses in real-time for improved user experience.

Embedding, 1 operation

embeddingsEmbeddingsPOSTConvert 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

Create your workspace
Sign up free. Nothing to install.
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.
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.