regolo 1.0.2

Simple client to interact with regolo.ai

Regolo.ai Python Client

A simple Python client for interacting for Regolo.ai's LLM-based API.

Installation

Ensure you have the regolo module installed. If not, install it using:

  pip install regolo

Basic Usage

1. Import the regolo module

import regolo

2. Set Up Default API Key and Model

To avoid manually passing the API key and model in every request, you can set them globally:

regolo.default_key = "<EXAMPLE_KEY>"
regolo.default_model = "meta-llama/Llama-3.3-70B-Instruct"

This ensures that all RegoloClient instances and static functions will use the specified API key and model.

Still, you can create run methods by passing model and key directly.

3. Perform a basic request

Completion:

print(regolo.static_completions(prompt="Tell me something about Rome."))

Chat_completion

print(regolo.static_chat_completions(messages=[{"role": "user", "content": "Tell me something about rome"}]))

---

Other usages

Handling streams

With full output:

import regolo
regolo.default_key = "<EXAMPLE_KEY>"
regolo.default_model = "meta-llama/Llama-3.3-70B-Instruct"

# Completions

client = regolo.RegoloClient()
response = client.completions("Tell me about Rome in a concise manner", full_output=True, stream=True)

while True:
    try:
        print(next(response))
    except StopIteration:
        break

# Chat completions

client = regolo.RegoloClient()
response = client.run_chat(user_prompt="Tell me about Rome in a concise manner", full_output=True, stream=True)


while True:
    try:
        print(next(response))
    except StopIteration:
        break

Without full output:

import regolo
regolo.default_key = "<EXAMPLE_KEY>"
regolo.default_model = "meta-llama/Llama-3.3-70B-Instruct"

# Completions

client = regolo.RegoloClient()
response = client.completions("Tell me about Rome in a concise manner", full_output=True, stream=True)

while True:
    try:
        print(next(response), end='', flush=True)
    except StopIteration:
        break

# Chat completions

client = regolo.RegoloClient()
response = client.run_chat(user_prompt="Tell me about Rome in a concise manner", full_output=True, stream=True)

while True:
    try:
        res = next(response)
        if res[0]:
            print(res[0] + ":")
        print(res[1], end="", flush=True)
    except StopIteration:
        break

Handling chat through add_prompt_to_chat()

import regolo

regolo.default_key = "<EXAMPLE_KEY>"
regolo.default_model = "meta-llama/Llama-3.3-70B-Instruct"

client = regolo.RegoloClient()

# Make a request

client.add_prompt_to_chat(role="user", prompt="Tell me about rome!")

print(client.run_chat())

# Continue the conversation

client.add_prompt_to_chat(role="user", prompt="Tell me something more about it!")

print(client.run_chat())

# You can print the whole conversation if needed

print(client.instance.get_conversation())

It is to consider that using the user_prompt parameter in run_chat() is equivalent to adding a prompt with role=user through add_prompt_to_chat().