feat: update backend & model parameter (#74)

* feat: update backend & model parameter

* fix: add `stream: false` in request body for ollama & openai

README.md

@@ -19,12 +19,16 @@ It also makes sure that you are within the context window of the model by tokeni
 
 Gathers information about requests and completions that can enable retraining.
 
-Note that **llm-ls** does not export any data anywhere (other than setting a user agent when querying the model API), everything is stored in a log file if you set the log level to `info`.
+Note that **llm-ls** does not export any data anywhere (other than setting a user agent when querying the model API), everything is stored in a log file (`~/.cache/llm_ls/llm-ls.log`) if you set the log level to `info`.
 
 ### Completion
 
 **llm-ls** parses the AST of the code to determine if completions should be multi line, single line or empty (no completion).
 
+### Multiple backends
+
+**llm-ls** is compatible with Hugging Face's [Inference API](https://huggingface.co/docs/api-inference/en/index), Hugging Face's [text-generation-inference](https://github.com/huggingface/text-generation-inference), [ollama](https://github.com/ollama/ollama) and OpenAI compatible APIs, like [llama.cpp](https://github.com/ggerganov/llama.cpp/tree/master/examples/server).
+
 ## Compatible extensions
 
 - [x] [llm.nvim](https://github.com/huggingface/llm.nvim)
@@ -38,6 +42,4 @@ Note that **llm-ls** does not export any data anywhere (other than setting a use
 - add `suffix_percent` setting that determines the ratio of # of tokens for the prefix vs the suffix in the prompt
 - add context window fill percent or change context_window to `max_tokens`
 - filter bad suggestions (repetitive, same as below, etc)
-- support for ollama
-- support for llama.cpp
 - oltp traces ?

crates/custom-types/src/llm_ls.rs

@@ -5,6 +5,8 @@ use serde::{Deserialize, Deserializer, Serialize};
 use serde_json::{Map, Value};
 use uuid::Uuid;
 
+const HF_INFERENCE_API_HOSTNAME: &str = "api-inference.huggingface.co";
+
 #[derive(Debug, Deserialize, Serialize)]
 #[serde(rename_all = "camelCase")]
 pub struct AcceptCompletionParams {
@@ -47,19 +49,42 @@ where
     Deserialize::deserialize(d).map(|b: Option<_>| b.unwrap_or(Ide::Unknown))
 }
 
-#[derive(Clone, Debug, Default, Deserialize, Serialize)]
-#[serde(rename_all = "lowercase")]
+fn hf_default_url() -> String {
+    format!("https://{HF_INFERENCE_API_HOSTNAME}")
+}
+
+#[derive(Clone, Debug, Deserialize, Serialize)]
+#[serde(rename_all = "lowercase", tag = "backend")]
 pub enum Backend {
-    #[default]
-    HuggingFace,
-    Ollama,
-    OpenAi,
-    Tgi,
+    HuggingFace {
+        #[serde(default = "hf_default_url")]
+        url: String,
+    },
+    Ollama {
+        url: String,
+    },
+    OpenAi {
+        url: String,
+    },
+    Tgi {
+        url: String,
+    },
 }
 
-impl Display for Backend {
-    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
-        self.serialize(f)
+impl Default for Backend {
+    fn default() -> Self {
+        Self::HuggingFace {
+            url: hf_default_url(),
+        }
+    }
+}
+
+impl Backend {
+    pub fn is_using_inference_api(&self) -> bool {
+        match self {
+            Self::HuggingFace { url } => url.contains(HF_INFERENCE_API_HOSTNAME),
+            _ => false,
+        }
     }
 }
 
@@ -98,11 +123,13 @@ pub struct GetCompletionsParams {
     pub fim: FimParams,
     pub api_token: Option<String>,
     pub model: String,
+    #[serde(flatten)]
     pub backend: Backend,
     pub tokens_to_clear: Vec<String>,
     pub tokenizer_config: Option<TokenizerConfig>,
     pub context_window: usize,
     pub tls_skip_verify_insecure: bool,
+    #[serde(default)]
     pub request_body: Map<String, Value>,
 }
 

crates/llm-ls/src/backend.rs

@@ -1,5 +1,5 @@
 use super::{APIError, APIResponse, Generation, NAME, VERSION};
-use custom_types::llm_ls::{Backend, GetCompletionsParams, Ide};
+use custom_types::llm_ls::{Backend, Ide};
 use reqwest::header::{HeaderMap, HeaderValue, AUTHORIZATION, USER_AGENT};
 use serde::{Deserialize, Serialize};
 use serde_json::{Map, Value};
@@ -151,33 +151,39 @@ fn parse_openai_text(text: &str) -> Result<Vec<Generation>> {
     }
 }
 
-pub fn build_body(prompt: String, params: &GetCompletionsParams) -> Map<String, Value> {
-    let mut body = params.request_body.clone();
-    match params.backend {
-        Backend::HuggingFace | Backend::Tgi => {
-            body.insert("inputs".to_string(), Value::String(prompt))
+pub fn build_body(
+    backend: &Backend,
+    model: String,
+    prompt: String,
+    mut request_body: Map<String, Value>,
+) -> Map<String, Value> {
+    match backend {
+        Backend::HuggingFace { .. } | Backend::Tgi { .. } => {
+            request_body.insert("inputs".to_owned(), Value::String(prompt));
         }
-        Backend::Ollama | Backend::OpenAi => {
-            body.insert("prompt".to_string(), Value::String(prompt))
+        Backend::Ollama { .. } | Backend::OpenAi { .. } => {
+            request_body.insert("prompt".to_owned(), Value::String(prompt));
+            request_body.insert("model".to_owned(), Value::String(model));
+            request_body.insert("stream".to_owned(), Value::Bool(false));
         }
     };
-    body
+    request_body
 }
 
 pub fn build_headers(backend: &Backend, api_token: Option<&String>, ide: Ide) -> Result<HeaderMap> {
     match backend {
-        Backend::HuggingFace => build_api_headers(api_token, ide),
-        Backend::Ollama => Ok(build_ollama_headers()),
-        Backend::OpenAi => build_openai_headers(api_token, ide),
-        Backend::Tgi => build_tgi_headers(api_token, ide),
+        Backend::HuggingFace { .. } => build_api_headers(api_token, ide),
+        Backend::Ollama { .. } => Ok(build_ollama_headers()),
+        Backend::OpenAi { .. } => build_openai_headers(api_token, ide),
+        Backend::Tgi { .. } => build_tgi_headers(api_token, ide),
     }
 }
 
 pub fn parse_generations(backend: &Backend, text: &str) -> Result<Vec<Generation>> {
     match backend {
-        Backend::HuggingFace => parse_api_text(text),
-        Backend::Ollama => parse_ollama_text(text),
-        Backend::OpenAi => parse_openai_text(text),
-        Backend::Tgi => parse_tgi_text(text),
+        Backend::HuggingFace { .. } => parse_api_text(text),
+        Backend::Ollama { .. } => parse_ollama_text(text),
+        Backend::OpenAi { .. } => parse_openai_text(text),
+        Backend::Tgi { .. } => parse_tgi_text(text),
     }
 }

crates/llm-ls/src/main.rs

@@ -34,7 +34,6 @@ mod language_id;
 const MAX_WARNING_REPEAT: Duration = Duration::from_secs(3_600);
 pub const NAME: &str = "llm-ls";
 pub const VERSION: &str = env!("CARGO_PKG_VERSION");
-const HF_INFERENCE_API_HOSTNAME: &str = "api-inference.huggingface.co";
 
 fn get_position_idx(rope: &Rope, row: usize, col: usize) -> Result<usize> {
     Ok(rope.try_line_to_char(row)?
@@ -305,10 +304,15 @@ async fn request_completion(
 ) -> Result<Vec<Generation>> {
     let t = Instant::now();
 
-    let json = build_body(prompt, params);
+    let json = build_body(
+        &params.backend,
+        params.model.clone(),
+        prompt,
+        params.request_body.clone(),
+    );
     let headers = build_headers(&params.backend, params.api_token.as_ref(), params.ide)?;
     let res = http_client
-        .post(build_url(&params.model))
+        .post(build_url(params.backend.clone(), &params.model))
         .json(&json)
         .headers(headers)
         .send()
@@ -367,7 +371,7 @@ async fn download_tokenizer_file(
         return Ok(());
     }
     tokio::fs::create_dir_all(to.as_ref().parent().ok_or(Error::InvalidTokenizerPath)?).await?;
-    let headers = build_headers(&Backend::HuggingFace, api_token, ide)?;
+    let headers = build_headers(&Backend::default(), api_token, ide)?;
     let mut file = tokio::fs::OpenOptions::new()
         .write(true)
         .create(true)
@@ -475,11 +479,12 @@ async fn get_tokenizer(
     }
 }
 
-fn build_url(model: &str) -> String {
-    if model.starts_with("http://") || model.starts_with("https://") {
-        model.to_owned()
-    } else {
-        format!("https://{HF_INFERENCE_API_HOSTNAME}/models/{model}")
+fn build_url(backend: Backend, model: &str) -> String {
+    match backend {
+        Backend::HuggingFace { url } => format!("{url}/models/{model}"),
+        Backend::Ollama { url } => url,
+        Backend::OpenAi { url } => url,
+        Backend::Tgi { url } => url,
     }
 }
 
@@ -502,14 +507,13 @@ impl LlmService {
                 cursor_character = ?params.text_document_position.position.character,
                 language_id = %document.language_id,
                 model = params.model,
-                backend = %params.backend,
+                backend = ?params.backend,
                 ide = %params.ide,
                 request_body = serde_json::to_string(&params.request_body).map_err(internal_error)?,
                 "received completion request for {}",
                 params.text_document_position.text_document.uri
             );
-            let is_using_inference_api = matches!(params.backend, Backend::HuggingFace);
-            if params.api_token.is_none() && is_using_inference_api {
+            if params.api_token.is_none() && params.backend.is_using_inference_api() {
                 let now = Instant::now();
                 let unauthenticated_warn_at = self.unauthenticated_warn_at.read().await;
                 if now.duration_since(*unauthenticated_warn_at) > MAX_WARNING_REPEAT {