#191: Add simple ollama chat example

async-openai/README.md

@@ -59,6 +59,11 @@ $Env:OPENAI_API_KEY='sk-...'
 - Visit [examples](https://github.com/64bit/async-openai/tree/main/examples) directory on how to use `async-openai`.
 - Visit [docs.rs/async-openai](https://docs.rs/async-openai) for docs.
 
+### Local LLM Usage
+
+- Visit the [Ollama chat example](https://github.com/64bit/async-openai/tree/main/examples/ollama-chat) directory on how to use `async-openai` with Ollama.
+  - This example can also be adapted to work with other OpenAI compatible projects, like [llama.cpp](https://github.com/ggml-org/llama.cpp).
+
 ## Realtime API
 
 Only types for Realtime API are implemented, and can be enabled with feature flag `realtime`.

examples/ollama-chat/Cargo.toml

@@ -0,0 +1,10 @@
+[package]
+name = "ollama-chat"
+version = "0.1.0"
+edition = "2021"
+publish = false
+
+[dependencies]
+async-openai = {path = "../../async-openai"}
+serde_json = "1.0.135"
+tokio = { version = "1.43.0", features = ["full"] }

examples/ollama-chat/README.md

@@ -0,0 +1,18 @@
+## Prerequisites
+
+- [Ollama](https://github.com/ollama/ollama) should be installed and running.
+- Pull a model to use with the library: `ollama pull <model>` e.g. `ollama pull llama3.2`
+  - See [Ollama.com model search](https://ollama.com/search) for more information on the models available.
+  - **You will need to pass the `<model>` name in the API call.**
+
+## Ollama OpenAI Compatibility
+
+**NOTE: an api key parameter is used for compatibility with OpenAI's API spec, but it is ignored by Ollama (it can be any value).**
+
+See the [Ollama OpenAI Compatibility docs](https://github.com/ollama/ollama/blob/main/docs/openai.md) for more details on what Ollama supports.
+
+## Response
+
+> Response:
+>
+> 0: Role: assistant Content: Some("The 2020 World Series was held at Globe Life Field in Arlington, Texas, which is home of the Texas Rangers. Due to COVID-19 pandemic protocols and stadium capacity restrictions, the series featured a neutral-site venue rather than the traditional host-field advantage. The Dodgers defeated the Tampa Bay Rays 4 games to 2.")

examples/ollama-chat/src/main.rs

@@ -0,0 +1,65 @@
+use std::error::Error;
+
+use async_openai::{
+    config::OpenAIConfig,
+    types::{
+        ChatCompletionRequestAssistantMessageArgs, ChatCompletionRequestSystemMessageArgs,
+        ChatCompletionRequestUserMessageArgs, CreateChatCompletionRequestArgs,
+    },
+    Client,
+};
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn Error>> {
+    // NOTE: Ollama needs to be running
+    let api_base = "http://localhost:11434/v1"; // This is the default host:port for Ollama's OpenAI endpoint
+
+    // Required but ignored
+    let api_key = "ollama";
+
+    let client = Client::with_config(
+        OpenAIConfig::new()
+            .with_api_key(api_key)
+            .with_api_base(api_base),
+    );
+
+    // The model needs to be downloaded first before you can use it
+    let model = "llama3.1";
+
+    let request = CreateChatCompletionRequestArgs::default()
+        .max_tokens(512u32)
+        .model(model)
+        .messages([
+            ChatCompletionRequestSystemMessageArgs::default()
+                .content("You are a helpful assistant.")
+                .build()?
+                .into(),
+            ChatCompletionRequestUserMessageArgs::default()
+                .content("Who won the world series in 2020?")
+                .build()?
+                .into(),
+            ChatCompletionRequestAssistantMessageArgs::default()
+                .content("The Los Angeles Dodgers won the World Series in 2020.")
+                .build()?
+                .into(),
+            ChatCompletionRequestUserMessageArgs::default()
+                .content("Where was it played?")
+                .build()?
+                .into(),
+        ])
+        .build()?;
+
+    println!("{}", serde_json::to_string(&request).unwrap());
+
+    let response = client.chat().create(request).await?;
+
+    println!("\nResponse:\n");
+    for choice in response.choices {
+        println!(
+            "{}: Role: {}  Content: {:?}",
+            choice.index, choice.message.role, choice.message.content
+        );
+    }
+
+    Ok(())
+}