Flowise

Flowise is a low-code visual tool for building LLM applications and AI agents using a drag-and-drop interface.

Prerequisites

• A Flowise instance (self-hosted or cloud)
• Your TensorX API key from app.tensorx.ai

Configuration

Flowise connects to TensorX through the ChatOpenAI Custom node, which allows you to specify a custom OpenAI-compatible endpoint.

Step 1: Add ChatOpenAI Custom Node

1. Open your Flowise canvas
2. In the left sidebar, navigate to Chat Models
3. Drag the ChatOpenAI Custom node onto your canvas

Step 2: Configure the Node

Configure the ChatOpenAI Custom node with these settings:

Parameter	Value
Base Path	https://api.tensorx.ai/v1
Model Name	deepseek/deepseek-chat-v3.1

Use the full model ID including the provider prefix (e.g., deepseek/deepseek-chat-v3.1, z-ai/glm-5.1).

Step 3: Create API Credential

1. Click the Credential field and select Create New
2. Select OpenAI API as the credential type
3. Enter your TensorX API key
4. Save the credential

Step 4: Adjust Optional Parameters

You can customize these optional settings:

Parameter	Description	Default
Temperature	Controls randomness (0-1)	0.7
Max Tokens	Maximum response length	Model default
Streaming	Enable streaming responses	true

Example Configurations

General Chat

Base Path: https://api.tensorx.ai/v1
Model Name: deepseek/deepseek-chat-v3.1
Temperature: 0.7

Code Generation

For code-related tasks, use a coding-optimized model:

Base Path: https://api.tensorx.ai/v1
Model Name: z-ai/glm-5.1
Temperature: 0.3

Recommended Coding Models:

• z-ai/glm-5.1 - Best for tool calling and structured outputs
• minimax/minimax-m2.5 - Best for complex reasoning tasks

Reasoning Tasks

Base Path: https://api.tensorx.ai/v1
Model Name: minimax/minimax-m2.5
Temperature: 0.5

Building a Chatflow

Here's how to create a basic chatflow with TensorX:

1. Add a ChatOpenAI Custom node and configure as shown above
2. Add a Chat Input node
3. Connect Chat Input → ChatOpenAI Custom
4. Add a Chat Output node
5. Connect ChatOpenAI Custom → Chat Output
6. Click Save Chatflow

Building an AI Agent

To create an agent with tools:

1. Add a ChatOpenAI Custom node configured for TensorX
2. Add an Agent node (e.g., OpenAI Functions Agent)
3. Connect your model to the Agent's LLM input
4. Add tool nodes (Calculator, Web Search, etc.)
5. Connect tools to the Agent
6. Add Chat Input and Chat Output nodes

For agent workflows that require tool calling, use z-ai/glm-5.1 as it has the best tool calling support.

Available Models

Browse all available models at app.tensorx.ai/models.

Model ID	Best For
deepseek/deepseek-chat-v3.1	General chat, balanced performance
z-ai/glm-5.1	Tool calling, code generation
minimax/minimax-m2.5	Reasoning, functions
moonshotai/kimi-k2.5	Vision, long context
openai/gpt-4.1	Premium quality

Troubleshooting

"Invalid API Key" Error

• Verify your API key at app.tensorx.ai
• Ensure the credential type is set to OpenAI API
• Check that the Base Path is exactly https://api.tensorx.ai/v1

"Model Not Found" Error

• Use the full model ID including the provider (e.g., deepseek/deepseek-chat-v3.1)
• Check available models at app.tensorx.ai/models

Streaming Issues

If responses are slow or not streaming:

• Enable the Streaming option in the node settings
• Ensure your Flowise version supports streaming

Support

Need help? Contact us at [e-mail]