Load configs from llm_config.yaml by default

README.md

@@ -1,9 +1,11 @@
-# chainlite
-LangChain + LiteLLM that works
-
-# ChainLite
-
-ChainLite combines LangChain and LiteLLM to provide an easy-to-use and customizable interface for large language model applications.
+<div class="title" style="text-align: center;">
+    <img src="assets/logo.png" alt="ChainLite Logo" style="width: 150px; height: auto;">
+    <h1>ChainLite</h1>
+</div>
+<div class="content">
+    <p>ChainLite combines LangChain and LiteLLM to provide an easy-to-use and customizable interface for large language model applications.</p>
+    <p style="font-size: smaller;"><sup>*</sup> Logo is generated using DALL·E 3.</p>
+</div>
 
 
 ## Installation
@@ -17,14 +19,15 @@ To install ChainLite, use the following steps:
     ```
 
 
-1. Copy `chainlite_config.yaml` to your project and follow the instructions there to update it with your own configuration.
+1. Copy `llm_config.yaml` to your project and follow the instructions there to update it with your own configuration.
 
 ## Usage
 
-Before you can use Chainlite, you need to call the following function to load the configuration file:
+Before you can use Chainlite, you can call the following function to load the configuration file. If you don't, ChainLite will use `llm_config.yaml` in the current directory (the directory you are running your script from) by default.
+
 ```python
 from chainlite import load_config_file
-load_config_file("./chainlite_config.yaml") # The path should be relative to the directory you run the script from, usually the root directory of your project
+load_config_file("./llm_config.yaml") # The path should be relative to the directory you run the script from, usually the root directory of your project
 ```
 
 Make sure the corresponding API keys are set in environemnt variables with the name you specified in the configuration file, e.g. `OPENAI_API_KEY` etc.

chainlite/llm_config.py

@@ -98,7 +98,7 @@ def load_config_from_file(config_file: str) -> None:
 # this code is not safe to use with multiprocessing, only multithreading
 thread_lock = threading.Lock()
 
-
+load_config_from_file("./llm_config.yaml")
 total_cost = 0.0  # in USD
 
 

setup.py

@@ -2,7 +2,7 @@
 
 setup(
     name="chainlite",
-    version="0.1.9",
+    version="0.1.10",
     author="Sina Semnani",
     author_email="[email protected]",
     description="A Python package that uses LangChain and LiteLLM to call large language model APIs easily",

tests/test_llm_generate.py

@@ -8,7 +8,7 @@
 logger = get_logger(__name__)
 
 
-load_config_from_file("./chainlite_config.yaml")
+# load_config_from_file("./llm_config.yaml")
 
 @pytest.mark.asyncio(scope="session")
 async def test_llm_generate():