LlamaIndex LLMs Integration: Llama API from Meta

Installation

1. Install the required Python packages

   pip install llama-index-llms-meta
   pip install llama-index
   

2. Get API Key from llama-api

   export LLAMA_API_KEY=your_api_key
   

Usage

Basic Chat

To simulate a chat with multiple messages:

from llama_index.core.llms import ChatMessage
from llama_index.llms.meta import LlamaLLM

messages = [
    ChatMessage(
        role="system", content="You are a pirate with a colorful personality"
    ),
    ChatMessage(role="user", content="What is your name"),
]
resp = LlamaLLM(
    model="Llama-3.3-8B-Instruct", api_key=os.environ["LLAMA_API_KEY"]
).chat(messages)
print(resp)

Example output (partial):

assistant: Yer lookin' fer me name, eh? Well, matey, me name be Captain Zephyr "Blackheart" McScurvy!

Streaming Chat

For a streamed conversation, use stream_chat:

from llama_index.core.llms import ChatMessage
from llama_index.llms.meta import LlamaLLM

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

resp = LlamaLLM(
    model="Llama-3.3-8B-Instruct", api_key=os.environ["LLAMA_API_KEY"]
).stream_chat(messages)

for r in resp:
    print(r.delta, end="")

Example output (partial):

Yer lookin' fer me name, eh? Well, matey, me name be Captain Zephyr "Blackheart" McScurvy!