readme update, version 0.0.5

omhq · Apr 20, 2024 · 2b45043 · 2b45043
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Showing 5 changed files with 17 additions and 16 deletions.
diff --git a/Makefile b/Makefile
@@ -1,6 +1,6 @@
 ACCOUNT=omhq
 IMAGE=llmt-workspace
-IMAGE_TAG=0.0.4
+IMAGE_TAG=0.0.5
 
 CURRENT_DIR=$(shell pwd)
 

diff --git a/README.md b/README.md
@@ -2,11 +2,11 @@
 
 [![PyPI version](https://badge.fury.io/py/llmt.svg)](https://badge.fury.io/py/llmt)
 
-## Overview
+## What is this good for?
 
-Convenient LLM chat wrapper for data pipelines, CI/CD, or personal workspaces.
+LLMT aims to make it easy to programatically connect OpenAI and HuggingFace models to your data pipelines, CI/CD, or personal workspaces.
 
-Supports local function calling, chat history retention, and can run anywhere. Chat using a terminal, input/output files, or directly through LLMT API.
+Supports function calling, chat and context history retention. Python 3.12 and up.
 
 ### Usage
 
@@ -20,16 +20,17 @@ from llmt import LLMT
 
 llmt = LLMT()
 llmt.init_assistant(
-    "dataengineer",
+    "snowflake",
     api_key="...",
     model="gpt-3.5-turbo",
-    assistant_description="You are a data engineer, and a python expert.",)
-llmt.init_functions(["./my_functions.py"])
-llmt.init_chat("single_chat")
-
-response = llmt.run(
-    "What's the result of 22 plus 5 in decimal added to the hexadecimal number A?"
+    assistant_description="You are a snowflake expert. Answer questions briefly in a sentence or less."
 )
+
+llmt.init_functions(["./helper_functions.py"])
+llmt.init_context("snowflake")
+response = llmt.run("generate an example merge dml")
+
+print(response)
 ```
 
 ### Local workspace

diff --git a/docker-compose.yml b/docker-compose.yml
@@ -2,7 +2,7 @@ version: "3"
 
 services:
   llmt-workspace:
-    image: omhq/llmt-workspace:0.0.4
+    image: omhq/llmt-workspace:0.0.5
     working_dir: /workspace
     volumes:
       - ./configs:/workspace/configs

diff --git a/llmt/__init__.py b/llmt/__init__.py
@@ -23,7 +23,7 @@
 from .openai_types import FinalResponseMessage, FunctionCall, GenericMessage, Message
 from .parsers import ArgSchemaParser, defargparsers
 
-__version__ = "0.0.4"
+__version__ = "0.0.5"
 __all__ = [
     "LLMT",
     "OpenAIAssistant",

diff --git a/pyproject.toml b/pyproject.toml
@@ -1,12 +1,12 @@
 [project]
 name = "llmt"
-version = "0.0.4"
+version = "0.0.5"
 authors = [
   { name="Artem Golub", email="artem @ outermeasure.com"}
 ]
-description = "Convenient LLM chat wrapper for data pipelines, CI/CD, or personal workspaces."
+description = "LLMT aims to make it easy to programatically connect OpenAI and HuggingFace models to your data pipelines, CI/CD, or personal workspaces."
 readme = "README.md"
-requires-python = ">=3.9"
+requires-python = ">=3.12"
 classifiers = [
     "Programming Language :: Python :: 3",
     "License :: OSI Approved :: MIT License",