Merge pull request #22 from jasonhp/main

feat: add new llm provider: Novita AI

README.md

@@ -34,7 +34,7 @@ While Nerve was inspired by other projects such as Autogen and Rigging, its main
 
 ## LLM Support
 
-Nerve features integrations for any model accessible via the [ollama](https://github.com/ollama/ollama), [groq](https://groq.com), [OpenAI](https://openai.com/index/openai-api/), [Fireworks](https://fireworks.ai/) and [Huggingface](https://huggingface.co/blog/tgi-messages-api#using-inference-endpoints-with-openai-client-libraries) APIs. 
+Nerve features integrations for any model accessible via the [ollama](https://github.com/ollama/ollama), [groq](https://groq.com), [OpenAI](https://openai.com/index/openai-api/), [Fireworks](https://fireworks.ai/), [Huggingface](https://huggingface.co/blog/tgi-messages-api#using-inference-endpoints-with-openai-client-libraries) and [NovitaAI](https://novita.ai/model-api/product/llm-api) APIs. 
 
 **The tool will automatically detect if the selected model natively supports function calling. If not, it will provide a compatibility layer that empowers older models to perform function calling anyway.**
 
@@ -72,6 +72,15 @@ Refer to [this document](https://huggingface.co/blog/tgi-messages-api#using-infe
 HF_API_TOKEN=you-api-key nerve -G "hf://[email protected]" ...
 ```
 
+For **Novita**:
+
+```sh
+NOVITA_API_KEY=you-api-key nerve -G "novita://meta-llama/llama-3.1-70b-instruct" ...
+```
+
+You can check your API keys [here](https://novita.ai/settings#key-management), and check all our models [here](https://novita.ai/model-api/product/llm-api).
+
+
 ## Example
 
 Let's take a look at the `examples/ssh_agent` example tasklet (a "tasklet" is a YAML file describing a task and the instructions):

nerve-core/Cargo.toml

@@ -47,10 +47,11 @@ serde_json = "1.0.120"
 clap = { version = "4.5.6", features = ["derive"] }
 
 [features]
-default = ["ollama", "groq", "openai", "fireworks", "hf"]
+default = ["ollama", "groq", "openai", "fireworks", "hf", "novita"]
 
 ollama = ["dep:ollama-rs"]
 groq = ["dep:groq-api-rs", "dep:duration-string"]
 openai = ["dep:openai_api_rust"]
 fireworks = ["dep:openai_api_rust"]
 hf = ["dep:openai_api_rust"]
+novita = ["dep:openai_api_rust"]

nerve-core/src/agent/generator/mod.rs

@@ -15,6 +15,8 @@ mod fireworks;
 mod groq;
 #[cfg(feature = "hf")]
 mod huggingface;
+#[cfg(feature = "novita")]
+mod novita;
 #[cfg(feature = "ollama")]
 mod ollama;
 #[cfg(feature = "openai")]
@@ -159,6 +161,7 @@ macro_rules! factory_body {
                 $model_name,
                 $context_window,
             )?)),
+            #[cfg(feature = "hf")]
             "hf" => Ok(Box::new(huggingface::HuggingfaceMessageClient::new(
                 $url,
                 $port,
@@ -172,6 +175,13 @@ macro_rules! factory_body {
                 $model_name,
                 $context_window,
             )?)),
+            #[cfg(feature = "novita")]
+            "novita" => Ok(Box::new(novita::NovitaClient::new(
+                $url,
+                $port,
+                $model_name,
+                $context_window,
+            )?)),
             _ => Err(anyhow!("generator '{}' not supported yet", $name)),
         }
     };

nerve-core/src/agent/generator/novita.rs

@@ -0,0 +1,41 @@
+use anyhow::Result;
+use async_trait::async_trait;
+
+use crate::agent::{state::SharedState, Invocation};
+
+use super::{openai::OpenAIClient, Client, ChatOptions};
+
+pub struct NovitaClient {
+    client: OpenAIClient,
+}
+
+#[async_trait]
+impl Client for NovitaClient {
+    fn new(_: &str, _: u16, model_name: &str, _: u32) -> anyhow::Result<Self>
+    where
+        Self: Sized,
+    {
+        let client = OpenAIClient::custom(
+            model_name,
+            "NOVITA_API_KEY",
+            "https://api.novita.ai/v3/openai/",
+        )?;
+
+        Ok(Self { client })
+    }
+
+    async fn chat(
+        &self,
+        state: SharedState,
+        options: &ChatOptions,
+    ) -> anyhow::Result<(String, Vec<Invocation>)> {
+        self.client.chat(state, options).await
+    }
+}
+
+#[async_trait]
+impl mini_rag::Embedder for NovitaClient {
+    async fn embed(&self, text: &str) -> Result<mini_rag::Embeddings> {
+        self.client.embed(text).await
+    }
+}