Update examples (#84)

* update readme

Signed-off-by: kerthcet <kerthcet@gmail.com>

* Chagne the release version

Signed-off-by: kerthcet <kerthcet@gmail.com>

---------

Signed-off-by: kerthcet <kerthcet@gmail.com>

Author: kerthcet

Cargo.lock

@@ -1,6 +1,6 @@
 [package]
 name = "arms"
-version = "0.1.0"
+version = "0.0.1"
 edition = "2024"
 
 [dependencies]

Cargo.toml

@@ -2,30 +2,35 @@
 
  [![Latest Release](https://img.shields.io/github/v/release/inftyai/amrs?include_prereleases)](https://github.com/inftyai/amrs/releases/latest)
 
-The Adaptive Model Routing System (AMRS) is a framework designed to select the best-fit model for exploration and exploitation. (still under development)
+The Adaptive Model Routing System (AMRS) is a framework designed to select the best-fit model for exploration and exploitation. Rust core with python bindings. Still under active development 🚧.
 
-Thanks to [async-openai](https://github.com/64bit/async-openai), AMRS builds on top of it to provide adaptive model routing capabilities.
+AMRS builds on top of [async-openai](https://github.com/64bit/async-openai) to provide API services for quick setup. Thanks to open source 💙.
 
 ## Features
 
-- Flexible routing strategies, including:
-  - **Random**: Randomly selects a model from the available models.
+- **Endpoints Support** (only basic ones because of limited resources):
+  - Chat Completions
+  - Responses
+  - More on the way
+
+- **Flexible Routing Strategies**:
+  - **Random(default)**: Randomly selects a model from the available models.
   - **WRR**: Weighted Round Robin selects models based on predefined weights.
-  - **UCB1**: Upper Confidence Bound based model selection (coming soon).
+  - **UCB1**: Upper Confidence Bound for balancing exploration and exploitation (coming soon).
   - **Adaptive**: Dynamically selects models based on performance metrics (coming soon).
 
-- Broad provider support:
-  - OpenAI compatible providers (DeepInfra, OpenRouter, etc.)
+- **Various Providers Support**:
+  - OpenAI compatible providers (OpenAI, DeepInfra, etc.)
   - More on the way
 
 ## How to use
 
-Here's a simple example with the Weighted Round Robin (WRR) routing mode:
+Here's a simple example with the Weighted Round Robin (WRR) routing mode. Before running the code, make sure to set your provider API key in the environment variable by running `export <PROVIDER>_API_KEY="your_openai_api_key"`.
+Here we use OpenAI as an example.
 
 
 ```rust
-// Before running the code, make sure to set your OpenAI API key in the environment variable:
-// export OPENAI_API_KEY="your_openai_api_key"
+# Make sure OPENAI_API_KEY is set in your environment variables before running this code.
 
 use tokio::runtime::Runtime;
 use arms::client;
@@ -55,12 +60,22 @@ let mut client = client::Client::new(config);
 let request = chat::CreateChatCompletionRequestArgs::default()
     .messages([
         chat::ChatCompletionRequestSystemMessage::from("You are a helpful assistant.").into(),
-        chat::ChatCompletionRequestUserMessage::from("How is the weather today?").into(),
+        chat::ChatCompletionRequestUserMessage::from("Who won the FIFA World Cup in 2025?").into(),
     ])
     .build()
     .unwrap();
 
 let result = Runtime::new().unwrap().block_on(client.create_completion(request));
+match result {
+    Ok(response) => {
+        for choice in response.choices {
+            println!("Response: {:?}", choice.message.content);
+        }
+    }
+    Err(e) => {
+        eprintln!("Error: {}", e);
+    }
+}
 ```
 
 ## Contributing

README.md

@@ -47,7 +47,9 @@ fn main() {
 
     match result {
         Ok(response) => {
-            println!("Response: {:?}", response);
+            for choice in response.choices {
+                println!("Response: {:?}", choice.message.content);
+            }
         }
         Err(e) => {
             eprintln!("Error: {}", e);