fishr 0.0.1

A python library for free LLMs & usable in your python projects. (Grok, Sonnet, GPT)

fishr

FREE LLM ACCESS FROM PYTHON. NO KEYS! NO AUTH! NO LIMITS!

Install

pip install fishr

Quick Start

from fishr import Client

client = Client()

# Chat completion
response = client.chat.completions.create(
    model="noxus/openai",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.text)

# Streaming
response = client.chat.completions.create(
    model="noxus/openai",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True,
)
for chunk in response:
    print(chunk.choices[0].delta.content or "", end="")

# Web search
response = client.chat.completions.create(
    model="noxus/grok-4.3",
    messages=[{"role": "user", "content": "Latest news on SpaceX"}],
    web_search=True,
)
print(response.text)

# Image generation
result = client.images.generate(
    model="deepai/image",
    prompt="A cat riding a skateboard",
)
print(result.data[0].url)

# Agent
result = client.agents.run(
    model="noxus/openai",
    prompt="Research quantum computing",
    tools=[{"type": "web_search"}],
)
print(result.content)

# Multi-turn conversation
conv = client.conversation(model="noxus/openai")
conv.system("You are a helpful assistant.")
conv.ask("Remember: 42")
conv.ask("What number did I say?")

Async

from fishr import AsyncClient

client = AsyncClient()

response = await client.chat.completions.create(
    model="deepai/standard",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.text)

# Async streaming
response = await client.chat.completions.create(
    model="opera/aria",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True,
)
async for chunk in response:
    print(chunk.choices[0].delta.content or "", end="")

# Async conversation
conv = client.conversation(model="noxus/openai")
await conv.ask("Remember: 42")
await conv.ask("What number did I say?")

Direct Provider Access

from fishr import OperaAria, Yqcloud

# Use a provider directly
opera = OperaAria()
result = opera.ask("Hello!", model="opera/aria")
print(result.content)

yqcloud = Yqcloud()
result = yqcloud.chat([{"role": "user", "content": "Hi!"}])
print(result.content)

Models

Models are specified as provider/name:

Provider	Models	Features
Noxus	noxus/openai, noxus/google, noxus/sonnet-4.6, noxus/sonnet-3.5, noxus/grok-4.3, noxus/perplexity, noxus/metaai, noxus/qwen	Web search, images, history, system messages
DeepAI	deepai/standard, deepai/online, deepai/gemma-4, deepai/gemini-2.5-flash-lite, deepai/deepseek-v3.2, deepai/image	Web search (online), images, history, system messages
Quillbot	quillbot/quillbot, quillbot/quillbot-search	Web search (quillbot-search), history, system messages
NoTrack	notrack/fast, notrack/standard, notrack/reasoning	History
DphnAI	dphnai/24b, dphnai/6b	History, system messages
Yqcloud	yqcloud/gpt-4	History, system messages
Opera Aria	opera/aria	Images, history, system messages

The provider prefix is optional for Noxus (default).

Requirements

• Python >= 3.11