asksage-proxy 0.1.0a0

Proxy server to AskSage API, OpenAI format compatible

asksage-proxy

This project is a proxy application that provides OpenAI-compatible endpoints for the AskSage API service at Argonne National Laboratory. It enables seamless integration with existing OpenAI client libraries while leveraging AskSage's powerful AI capabilities.

Note: This proxy only provides OpenAI compatibility for AskSage's get_models and query related functionality. Other AskSage API features (such as dataset management, training, user management, etc.) are not included in this proxy.

TL;DR

pip install asksage-proxy # install the package
asksage-proxy # run the proxy

Function calling is available for Chat Completions endpoint starting from v0.1.0.

NOTICE OF USAGE

The machine or server making API calls to AskSage must be connected to the Argonne internal network or through a VPN on an Argonne-managed computer if you are working off-site. Your instance of the asksage proxy should always be on-premise at an Argonne machine. The software is provided "as is," without any warranties. By using this software, you accept that the authors, contributors, and affiliated organizations will not be liable for any damages or issues arising from its use. You are solely responsible for ensuring the software meets your requirements.

• Notice of Usage
• Deployment
  • Prerequisites
  • Configuration File
  • Running the Application
  • First-Time Setup
  • Configuration Options Reference
  • asksage-proxy CLI Available Options
  • Management Utilities
• Usage
  • Endpoints
    • OpenAI Compatible
    • Not OpenAI Compatible
  • Models
  • Tool Calls
    • Tool Call Examples
• Bug Reports and Contributions

Deployment

Prerequisites

• Python 3.10+ is required.
  It is recommended to use conda, mamba, or pipx, etc., to manage an exclusive environment.
  Conda/Mamba Download and install from: https://conda-forge.org/download/
  pipx Download and install from: https://pipx.pypa.io/stable/installation/

• Install dependencies:

  PyPI current version:

  pip install asksage-proxy
  

  To upgrade:

  asksage-proxy --version  # Display current version
  # Check against PyPI version
  pip install asksage-proxy --upgrade
  

  or, if you decide to use dev version (make sure you are at the root of the repo cloned):

  pip install .
  

Configuration File

If you don't want to manually configure it, the First-Time Setup will automatically create it for you.

The application uses config.yaml for configuration. Here's an example:

host: "0.0.0.0"
port: 8080
verbose: true
api_key: "" # Set via environment variable ASK_SAGE_API
asksage_server_base_url: "https://api.asksage.anl.gov/server"
asksage_user_base_url: "https://api.asksage.anl.gov/user"
cert_path: "./anl_provided/asksage_anl_gov.pem"
timeout_seconds: 30.0

Running the Application

To start the application:

asksage-proxy [config_path]

• Without arguments: search for config.yaml under:

  • ~/.config/asksage_proxy/
  • current directory
  • ./asksage_proxy_config.yaml The first one found will be used.

• With path: uses specified config file, if exists. Otherwise, falls back to default search.

  asksage-proxy /path/to/config.yaml
  

• With --edit flag: opens the config file in the default editor for modification.

First-Time Setup

When running without an existing config file:

1. The script offers to create config.yaml interactively
2. Automatically selects a random available port (can be overridden)
3. Prompts for:
   • Your AskSage API key (or uses environment variable)
   • Certificate file path (defaults to bundled certificate)
   • Verbose mode preference
4. Validates connectivity to configured URLs
5. Shows the generated config in a formatted display for review before proceeding

Example session:

$ asksage-proxy
No valid configuration found.
Creating new configuration...
Use port [52226]? [Y/n/<port>]:
Enter your AskSage API key: your_api_key_here
Enter certificate path: ./anl_provided/asksage_anl_gov.pem
Enable verbose mode? [Y/n]
Created new configuration at: /home/your_username/.config/asksage_proxy/config.yaml
Using port 52226...
Current configuration:
--------------------------------------
{
    "host": "0.0.0.0",
    "port": 52226,
    "api_key": "***your_key",
    "asksage_server_base_url": "https://api.asksage.anl.gov/server",
    "asksage_user_base_url": "https://api.asksage.anl.gov/user",
    "cert_path": "./anl_provided/asksage_anl_gov.pem",
    "verbose": true,
    "timeout_seconds": 30.0
}
--------------------------------------
# ... proxy server starting info display ...

Configuration Options Reference

Option	Description	Default
host	Host address to bind the server to	0.0.0.0
port	Application port (random available port selected by default)	randomly assigned
verbose	Debug logging	true
api_key	AskSage API key (use environment variable ASK_SAGE_API)	(Set during setup or via env var)
asksage_server_base_url	AskSage Server API base URL	https://api.asksage.anl.gov/server
asksage_user_base_url	AskSage User API base URL	https://api.asksage.anl.gov/user
cert_path	Path to SSL certificate file	./anl_provided/asksage_anl_gov.pem
timeout_seconds	Request timeout in seconds	30.0

asksage-proxy CLI Available Options

$ asksage-proxy -h
usage: asksage-proxy [-h] [--host HOST] [--port PORT] [--verbose]
                     [--show] [--edit] [config]

AskSage Proxy - OpenAI-compatible proxy for AskSage API

positional arguments:
  config                Path to configuration file (optional)

options:
  -h, --help            show this help message and exit
  --host HOST, -H HOST  Host address to bind the server to
  --port PORT, -p PORT  Port number to bind the server to
  --verbose, -v         Enable verbose logging
  --show, -s            Show current configuration and exit
  --edit, -e            Edit configuration file with system default editor

Management Utilities

The following options help manage the configuration file:

• --edit, -e: Open the configuration file in the system's default editor for editing.

  • If no config file is specified, it will search in default locations (~/.config/asksage_proxy/, current directory)
  • Tries common editors like nano, vi, vim (unix-like systems) or notepad (Windows)

• --show, -s: Show the current configuration and exit.

  • Displays the fully resolved configuration including defaults
  • Masks sensitive information like API keys

# Example usage:
asksage-proxy --edit  # Edit config file
asksage-proxy --show  # Show current config
asksage-proxy --host 0.0.0.0 --port 8080  # Override config settings

Usage

Endpoints

OpenAI Compatible

These endpoints convert responses from the AskSage API to be compatible with OpenAI's format:

• /v1/chat/completions: Chat Completions API with streaming support.
• /v1/models: Lists available models in OpenAI-compatible format.

Not OpenAI Compatible

These endpoints interact directly with the AskSage API and do not convert responses to OpenAI's format:

• /: Root endpoint with API information.
• /health: Health check endpoint. Returns 200 OK if the server is running.

Planned Endpoints

The following endpoints are planned for future releases:

• /v1/completions: Legacy Completions API.

Models

The proxy automatically discovers available chat models from the AskSage API and provides them in OpenAI-compatible format.

To see the available models, start the proxy and check the models endpoint:

# Start the proxy
asksage-proxy

# In another terminal, check available models
curl http://localhost:8080/v1/models

Or using the OpenAI client:

from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:8080/v1",
    api_key="dummy"
)

models = client.models.list()
for model in models.data:
    print(f"Model: {model.id}")

Tool Calls

The tool calls (function calling) interface is available starting from version v0.1.0.

⚠️ Known Issue: Tool calls currently have upstream issues. During development and testing, I am encountering "Sorry, the model is overloaded, please try again in a few seconds." errors regardless of which model is used. This appears to be an issue with the AskSage API's tool calling functionality.

Availability

• Available on both streaming and non-streaming chat completion endpoints
• Only supported on /v1/chat/completions endpoint
• Follows OpenAI function calling format

Tool Call Examples

For usage details, refer to the OpenAI documentation.

Bug Reports and Contributions

This project is developed in my spare time. Bugs and issues may exist. If you encounter any or have suggestions for improvements, please open an issue or submit a pull request. Your contributions are highly appreciated!