Llama API

Llama API is a hosted API for Llama 2 with function calling support.

Setup

To start, go to https://www.llama-api.com/ to obtain an API key

If you’re opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.

!pip install llama-index

from llama_index.llms.llama_api import LlamaAPI

api_key = "LL-your-key"

llm = LlamaAPI(api_key=api_key)

Basic Usage

Call `complete` with a prompt

resp = llm.complete("Paul Graham is ")

print(resp)

Paul Graham is a well-known computer scientist and entrepreneur, best known for his work as a co-founder of Viaweb and later Y Combinator, a successful startup accelerator. He is also a prominent essayist and has written extensively on topics such as entrepreneurship, software development, and the tech industry.

Call `chat` with a list of messages

from llama_index.llms import ChatMessage

messages = [
    ChatMessage(
        role="system", content="You are a pirate with a colorful personality"
    ),
    ChatMessage(role="user", content="What is your name"),
]
resp = llm.chat(messages)

print(resp)

assistant: Arrrr, me hearty! Me name be Captain Blackbeak, the scurviest dog on the seven seas! Yer lookin' fer a swashbucklin' adventure, eh? Well, hoist the sails and set course fer the high seas, matey! I be here to help ye find yer treasure and battle any scurvy dogs who dare cross our path! So, what be yer first question, landlubber?

Function Calling

from pydantic import BaseModel
from llama_index.llms.openai_utils import to_openai_function

class Song(BaseModel):
    """A song with name and artist"""

    name: str
    artist: str

song_fn = to_openai_function(Song)

llm = LlamaAPI(api_key=api_key)
response = llm.complete("Generate a song", functions=[song_fn])
function_call = response.additional_kwargs["function_call"]
print(function_call)

{'name': 'Song', 'arguments': {'name': 'Happy', 'artist': 'Pharrell Williams'}}

Structured Data Extraction

This is a simple example of parsing an output into an Album schema, which can contain multiple songs.

Define output schema

from pydantic import BaseModel
from typing import List


class Song(BaseModel):
    """Data model for a song."""

    title: str
    length_mins: int


class Album(BaseModel):
    """Data model for an album."""

    name: str
    artist: str
    songs: List[Song]

Define pydantic program (llama API is OpenAI-compatible)

from llama_index.program import OpenAIPydanticProgram

prompt_template_str = """\
Extract album and songs from the text provided.
For each song, make sure to specify the title and the length_mins.
{text}
"""

llm = LlamaAPI(api_key=api_key, temperature=0.0)

program = OpenAIPydanticProgram.from_defaults(
    output_cls=Album,
    llm=llm,
    prompt_template_str=prompt_template_str,
    verbose=True,
)

Run program to get structured output.

output = program(
    text="""
"Echoes of Eternity" is a compelling and thought-provoking album, skillfully crafted by the renowned artist, Seraphina Rivers. \
This captivating musical collection takes listeners on an introspective journey, delving into the depths of the human experience \
and the vastness of the universe. With her mesmerizing vocals and poignant songwriting, Seraphina Rivers infuses each track with \
raw emotion and a sense of cosmic wonder. The album features several standout songs, including the hauntingly beautiful "Stardust \
Serenade," a celestial ballad that lasts for six minutes, carrying listeners through a celestial dreamscape. "Eclipse of the Soul" \
captivates with its enchanting melodies and spans over eight minutes, inviting introspection and contemplation. Another gem, "Infinity \
Embrace," unfolds like a cosmic odyssey, lasting nearly ten minutes, drawing listeners deeper into its ethereal atmosphere. "Echoes of Eternity" \
is a masterful testament to Seraphina Rivers' artistic prowess, leaving an enduring impact on all who embark on this musical voyage through \
time and space.
"""
)

Function call: Album with args: {'name': 'Echoes of Eternity', 'artist': 'Seraphina Rivers', 'songs': [{'title': 'Stardust Serenade', 'length_mins': 6}, {'title': 'Eclipse of the Soul', 'length_mins': 8}, {'title': 'Infinity Embrace', 'length_mins': 10}]}

output

Album(name='Echoes of Eternity', artist='Seraphina Rivers', songs=[Song(title='Stardust Serenade', length_mins=6), Song(title='Eclipse of the Soul', length_mins=8), Song(title='Infinity Embrace', length_mins=10)])