n8n-nodes-siliconflow

An n8n community node to integrate with SiliconFlow AI models, providing access to chat completions, vision analysis, text embeddings, and document reranking capabilities.

Features

🤖 Chat Completions: Access to 20+ AI models including Qwen, GLM, DeepSeek, Hunyuan, and MiniMax
👁️ Vision Analysis: Analyze images with powerful vision-language models (Qwen2.5-VL, QVQ, DeepSeek-VL2)
🧮 Text Embeddings: Support for 9 embedding models including BGE, Qwen3-Embedding, and YoudAo
📊 Document Reranking: Rerank documents for better relevance with 6 reranking models
🎯 AI Agent Integration: Dedicated node for seamless integration with n8n AI Agent nodes
🔧 Flexible Output: Choose between simple (message-only) and detailed (with metadata) output modes
⚡ Advanced Parameters: Full support for reasoning models, streaming, and custom formats
🔐 Secure Authentication: API key-based authentication with configurable base URL

Supported Models

Chat Completion Models

Qwen Series: QwQ-32B (reasoning), Qwen3-235B-A22B, Qwen3-32B, Qwen3-14B, Qwen3-8B, Qwen2.5 series
GLM Series: GLM-Z1-32B, GLM-4-32B, GLM-Z1-Rumination-32B (reasoning), GLM-4-9B series
DeepSeek: DeepSeek-V2.5, DeepSeek-R1 (reasoning)
Others: Hunyuan-A13B-Instruct, MiniMax-M1-80k, QwenLong-L1-32B

Embedding Models

BGE Series: bge-large-zh-v1.5, bge-large-en-v1.5, bge-m3 (multilingual)
Qwen3-Embedding: 8B, 4B, 0.6B (up to 32K tokens)
Others: YoudAo BCE, sentence-transformers models

Reranking Models

Qwen3-Reranker: 8B, 4B, 0.6B
BGE-Reranker: v2-m3, Pro/v2-m3
YoudAo: bce-reranker-base_v1

Installation

Community nodes are not available in the npm registry. To install this node, you have the following options:

Option 1: User Installation via n8n Community Nodes

Go to Settings > Community Nodes.
Select Install.
Enter n8n-nodes-siliconflow in Enter npm package name.
Agree to the risks of using community nodes: select I understand the risks of installing unverified code from a public source.
Select Install.

After installing the node, you can use it like any other node. n8n displays the node in search results in the Nodes panel.

Option 2: Manual installation

To get started install the package in your n8n root directory:

npm install n8n-nodes-siliconflow

For Docker-based deployments, add the following line before the font installation command in your n8n Dockerfile:

RUN cd /usr/local/lib/node_modules/n8n && npm install n8n-nodes-siliconflow

Configuration

You will need a SiliconFlow API key to use this node. You can get one from SiliconFlow.

Create a SiliconFlow account at https://cloud.siliconflow.cn
Generate an API key from your account settings
In n8n, create a new SiliconFlow API credential with:
- API Key: Your SiliconFlow API key
- Base URL: https://api.siliconflow.cn/v1 (default)

Operations

The SiliconFlow node provides two types of nodes:

SiliconFlow Node

The main node supports three operations:

1. Chat Completion

Generate text completions using SiliconFlow's language models. Features include:

Output Modes:
- Simple: Returns only the message content as a string (ideal for chat workflows)
- Detailed: Returns structured data with message, usage, metadata, and reasoning content
Support for reasoning models (QwQ-32B, GLM-Z1-Rumination, DeepSeek-R1)
Advanced parameters: temperature, top_p, top_k, min_p, frequency_penalty
Thinking mode for chain-of-thought reasoning
Streaming and custom response formats
System, user, and assistant message roles

2. Text Embedding

Generate vector embeddings for text using various embedding models:

Support for Chinese, English, and multilingual models
Token limits from 512 to 32,768 depending on model
Float or Base64 encoding formats
Batch processing support

3. Document Reranking

Rerank documents based on relevance to a query:

Support for multiple reranking algorithms
Configurable top-N results
Document chunking for long texts
Relevance scoring

SiliconFlow Chat Model Node

A specialized node designed for AI Agent integration:

AI Agent Compatibility: Can be used as a language model provider in n8n AI Agent nodes
Seamless Integration: Works with official AI Agent, AI Tool, and AI Memory nodes
Multi-turn Conversations: Supports complex dialogue scenarios
Reasoning Support: Full support for reasoning models with thinking capabilities

Usage Examples

Basic Chat with Simple Output

{
  "resource": "chat",
  "operation": "complete",
  "model": "Qwen/QwQ-32B",
  "prompt": "Hello, how are you?",
  "outputMode": "simple"
}

Output: "Hello! I'm doing well, thank you for asking. How can I help you today?"

Chat with Detailed Output

{
  "resource": "chat", 
  "operation": "complete",
  "model": "Qwen/QwQ-32B",
  "prompt": "Explain quantum computing",
  "outputMode": "detailed"
}

Output:

{
  "message": "Quantum computing is a type of computation that harnesses quantum mechanical phenomena...",
  "model": "Qwen/QwQ-32B",
  "finishReason": "stop",
  "usage": {
    "prompt_tokens": 15,
    "completion_tokens": 150,
    "total_tokens": 165
  },
  "reasoning": "The user is asking about quantum computing..."
}

AI Agent Integration

Add an AI Agent node to your workflow
Add a SiliconFlow Chat Model node
In the AI Agent configuration, select the SiliconFlow Chat Model as your language model
Configure other AI Agent settings (tools, memory, etc.)
Your AI Agent now uses SiliconFlow's powerful models!

Advanced Features

Reasoning Models: Enable thinking mode for step-by-step problem solving
Long Context: Support for models with up to 80K context length
Multilingual: Chinese, English, and multilingual model options
Flexible Input: Support for simple prompts or structured message arrays

Compatibility

Tested with n8n version 1.0+.

Resources

License

MIT

Package detail