address-to-proxy 0.1.1

Resolve postal addresses into proxy account connection details.

Address To Proxy

Address To Proxy resolves a free-form postal address into proxy connection details for supported proxy platforms.

First version scope:

• CLI entrypoint: address-to-proxy resolve.
• LLM-assisted address parsing through a configured OpenAI-compatible endpoint.
• LLM-assisted platform dictionary matching when direct country/state matching fails.
• 1024proxy country/state/city dictionary lookup.
• 1024proxy username generation.
• Configurable proxy location validation through ipinfo.io/json.

Requirements

This tool requires a configured LLM endpoint. It cannot resolve addresses with only 1024proxy credentials because the first step is LLM-assisted address parsing.

The LLM service must expose an OpenAI-compatible chat completions API:

POST {llm.base_url}/chat/completions

Set these values in config.yaml before running:

• llm.base_url: OpenAI-compatible API base URL, for example https://api.openai.com/v1 or another compatible provider.
• llm.model: the fast model ID to use for address parsing and platform dictionary matching.
• llm.api_key: read from ADDRESS_TO_PROXY_LLM_API_KEY in the example config.

Usage

Install dependencies:

./install.sh

Create your local config once:

cp config.example.yaml config.yaml

Edit config.yaml and set the required environment variables:

export ADDRESS_TO_PROXY_LLM_API_KEY="..."
export ADDRESS_TO_PROXY_1024_TOKEN="..."
export ADDRESS_TO_PROXY_1024_PASSWORD="..."

ADDRESS_TO_PROXY_LLM_API_KEY is required. The tool sends the user-provided address to the configured LLM to extract country, state, city, postal code, and street, then asks the same LLM to choose from platform-supported country/state/city candidates when direct matching fails.

Run:

./run.py 123 Example St,Example City,North Carolina,28214, US

Use from Python after installing the package in your venv:

from address_to_proxy import resolve_address

result = resolve_address(
    "123 Example St,Example City,North Carolina,28214, US",
    config_path="config.yaml",
)

print(result.proxy_host)
print(result.username)
print(result.password)

If you installed the package entrypoint, this command is equivalent:

address-to-proxy resolve 123 Example St,Example City,North Carolina,28214, US

By default, the CLI reads config.yaml from the current working directory. Use --config path/to/config.yaml only when you want to load a different file. It also selects the first supported proxy platform found in platforms; use --platform 1024proxy only when you want to override that selection.

Output defaults to JSON. Other formats are available:

./run.py 123 Example St,Example City,North Carolina,28214, US --output text
./run.py 123 Example St,Example City,North Carolina,28214, US --output curl

text prints proxy_host, username, password, and validated as simple key/value lines. curl prints a ready-to-run curl -x ... -U ... https://ipinfo.io/json command.

Configuration

Start from config.example.yaml and provide secrets through environment variables.

export ADDRESS_TO_PROXY_LLM_API_KEY="..."
export ADDRESS_TO_PROXY_1024_TOKEN="..."
export ADDRESS_TO_PROXY_1024_PASSWORD="..."

The 1024proxy token is used only for platform dictionary API calls. The account ID and password are used only for connecting to the generated proxy.

Address parsing runs through the configured LLM first. If the parsed country or state does not directly match the selected platform dictionary, the tool asks the same LLM to choose from the platform-supported candidates and then validates that choice locally before generating the proxy username.

Example LLM config:

llm:
  base_url: "https://api.openai.com/v1"
  api_key: "${ADDRESS_TO_PROXY_LLM_API_KEY}"
  model: "gpt-4o-mini"

Development

For normal local use, run the installer:

./install.sh

It creates .venv, upgrades pip, and installs this project in editable mode.

For manual setup:

python3 -m venv .venv
.venv/bin/python -m pip install -e '.[dev]'

Run the test suite:

.venv/bin/python -m pytest -q

Verify the CLI entrypoint:

.venv/bin/address-to-proxy --help
.venv/bin/address-to-proxy resolve --help

Create a local runtime config:

cp config.example.yaml config.yaml

Then edit config.yaml for non-secret values such as llm.base_url, llm.model, platforms.1024proxy.account_id, platforms.1024proxy.proxy_host, platforms.1024proxy.ttl_minutes, and validation.*. Keep secrets in environment variables:

export ADDRESS_TO_PROXY_LLM_API_KEY="your-llm-api-key"
export ADDRESS_TO_PROXY_1024_TOKEN="your-1024proxy-api-token"
export ADDRESS_TO_PROXY_1024_PASSWORD="your-proxy-password"

Run a real resolve request:

.venv/bin/address-to-proxy resolve \
  123 Example St,Example City,North Carolina,28214, US

Equivalent direct-script command:

.venv/bin/python run.py \
  123 Example St,Example City,North Carolina,28214, US

To use a config file outside the current directory:

.venv/bin/address-to-proxy resolve \
  123 Example St,Example City,North Carolina,28214, US \
  --config path/to/config.yaml \
  --platform 1024proxy

For development without making a real proxy validation request, set:

validation:
  mode: "off"
  max_retries: 1
  distance_km: 100

Use strict when you want the tool to verify that ipinfo.io/json returns the same country, state, and city requested in the generated proxy username.