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working external through cloudflare https://netstack.org/docs/wan/cloudflare/

doc local link external
WebUI /api/v1/docs http://192.168.6.30:8080/api/v1/docs https://chat.bradnordyke.com/api/v1/docs
Ollama /ollama/docs http://192.168.6.30:8080/ollama/docs https://chat.bradnordyke.com/ollama/docs
OpenAI /openai/docs http://192.168.6.30:8080/openai/docs https://chat.bradnordyke.com/openai/docs
Images /images/api/v1/docs http://192.168.6.30:8080/images/api/v1/docs https://chat.bradnordyke.com/images/api/v1/docs
Audio /audio/api/v1/docs http://192.168.6.30:8080/audio/api/v1/docs https://chat.bradnordyke.com/audio/api/v1/docs
RAG /rag/api/v1/docs http://192.168.6.30:8080/rag/api/v1/docs https://chat.bradnordyke.com/rag/api/v1/docs

index

### cloudflare git clone cli setup

What’s the best way to setup a cli that access z.ai?

It appears there might be a typo in your request, as z.ai is not currently a widely recognized major AI API provider.

Assuming you meant x.ai (Elon Musk’s xAI, creators of Grok), or that you are looking for a generic way to access a custom AI endpoint, here is the best way to set up a CLI.

I have broken this down into the two most likely scenarios.

Scenario A: You meant x.ai (Grok)

xAI has an API that is OpenAI-compatible. This means you can use standard OpenAI libraries and tools just by changing the “Base URL.”

Method 1: The “Power User” Way (Using the llm CLI tool)

The absolute best way to interact with any AI provider via CLI is Simon Willison’s llm tool. It creates a clean interface for almost every model.

  1. Install llm: 
    # macOS/Linux
brew install llm
# or via pip
pip install llm
  2. Install the OpenAI plugin (required for custom endpoints): 
    llm install llm-openai
  3. Configure the xAI model: You need to set the API Key and the Base URL. 
    # Set your xAI API Key
export XAI_API_KEY="your-xai-api-key-here"

# Add the model to llm
llm keys set xai --value $XAI_API_KEY
    
# Configure the model pointing to xAI's endpoint
llm openai add-model grok-beta \
  --api-base "https://api.x.ai/v1" \
  --api-key-env-var XAI_API_KEY
  4. Run it: 
    llm -m grok-beta "Explain the meaning of life in 5 words"

Method 2: The “Developer” Way (Python Script)

If you want to build your own custom CLI tool, use Python with the official OpenAI library, pointing it to xAI.

  1. Install dependencies: 
    pip install openai
  2. Create a file named zai_cli.py: 
    import os
from openai import OpenAI

# Initialize client pointing to xAI
client = OpenAI(
    api_key=os.environ.get("XAI_API_KEY"), # Ensure you exported this key
    base_url="https://api.x.ai/v1",
)

def main():
    print("Chatting with Grok (type 'exit' to quit)...")
    messages = []
        
    while True:
        user_input = input("You: ")
        if user_input.lower() in ["exit", "quit"]: break
            
        messages.append({"role": "user", "content": user_input})
            
        stream = client.chat.completions.create(
            model="grok-beta",
            messages=messages,
            stream=True,
        )
            
        print("AI: ", end="", flush=True)
        response_text = ""
        for chunk in stream:
            content = chunk.choices[0].delta.content or ""
            print(content, end="", flush=True)
            response_text += content
        print("\n")
        messages.append({"role": "assistant", "content": response_text})

if __name__ == "__main__":
    main()
  3. Run it: 
    export XAI_API_KEY="your-key-here"
python zai_cli.py

Scenario B: You literally have a service at “z.ai”

If z.ai is a private tool or a specific niche service you use, and it provides a REST API, the best generic setup is to use a tool like HTTPie or a simple curl wrapper.

Using HTTPie (Modern Curl replacement)

  1. Install HTTPie: 
    brew install httpie
  2. Create a session (so you don’t type the key every time): 
    # Replace 'Bearer' with whatever auth method z.ai uses
http --session=zai_session POST z.ai/api/v1/chat Authorization:"Bearer YOUR_API_KEY" prompt="Hello world"

Create a Bash Alias

If you just want a quick command to send a prompt:

  1. Open your shell config (.zshrc or .bashrc).
  2. Add this function: 
    zai() {
    # Adjust the URL and JSON payload based on z.ai's specific docs
    curl -s https://z.ai/api/chat \
        -H "Authorization: Bearer YOUR_API_KEY" \
        -H "Content-Type: application/json" \
        -d "{\"prompt\": \"$1\"}" | jq -r '.response'
}
  3. Run source ~/.zshrc.
  4. Use it: zai "What is the weather?"

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