Langchain LLM API

A Langchain compatible implementation which enables the integration with LLM-API

The main reason for implementing this package is to be able to use Langchain with any model run locally.

Usage

You can install this as a python library using the command (until it's integrated with langchain itself)

pip install langchain-llm-api

To use this langchain implementation with the LLM-API:

from langchain_llm_api import LLMAPI, APIEmbeddings

llm = LLMAPI(
    host_name="http://localhost:8000",
    params={"temp": 0.2},
    verbose=True
)

llm("What is the capital of France?")

Or with streaming:

from langchain_llm_api import LLMAPI, APIEmbeddings
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler

llm = LLMAPI(
    host_name="http://localhost:8000",
    params={"temp": 0.2},
    verbose=True,
    streaming=True,
    callback_manager=CallbackManager([StreamingStdOutCallbackHandler()])
)

llm("What is the capital of France?")

Check LLM-API for the possible models and thier params

Embeddings

to use the embeddings endpoint:

emb = APIEmbeddings(
    host_name="your api host name e.g. http://localhost:8000 or wherever your LLM API is hosted",
    params = {"n_predict": 300, "temp": 0.2, ...}
)