ZIm/crates/language_model/src/provider/ollama.rs
Mikayla Maki 855048041d
Update http crate name (#15041)
Release Notes:

- N/A
2024-07-23 15:01:05 -07:00

368 lines
12 KiB
Rust

use anyhow::{anyhow, Result};
use futures::{future::BoxFuture, stream::BoxStream, FutureExt, StreamExt};
use gpui::{AnyView, AppContext, AsyncAppContext, ModelContext, Subscription, Task};
use http_client::HttpClient;
use ollama::{get_models, stream_chat_completion, ChatMessage, ChatOptions, ChatRequest};
use settings::{Settings, SettingsStore};
use std::{sync::Arc, time::Duration};
use ui::{prelude::*, ButtonLike, ElevationIndex};
use crate::{
settings::AllLanguageModelSettings, LanguageModel, LanguageModelId, LanguageModelName,
LanguageModelProvider, LanguageModelProviderName, LanguageModelProviderState,
LanguageModelRequest, Role,
};
const OLLAMA_DOWNLOAD_URL: &str = "https://ollama.com/download";
const OLLAMA_LIBRARY_URL: &str = "https://ollama.com/library";
const PROVIDER_NAME: &str = "ollama";
#[derive(Default, Debug, Clone, PartialEq)]
pub struct OllamaSettings {
pub api_url: String,
pub low_speed_timeout: Option<Duration>,
}
pub struct OllamaLanguageModelProvider {
http_client: Arc<dyn HttpClient>,
state: gpui::Model<State>,
}
struct State {
http_client: Arc<dyn HttpClient>,
available_models: Vec<ollama::Model>,
settings: OllamaSettings,
_subscription: Subscription,
}
impl State {
fn fetch_models(&self, cx: &mut ModelContext<Self>) -> Task<Result<()>> {
let http_client = self.http_client.clone();
let api_url = self.settings.api_url.clone();
// As a proxy for the server being "authenticated", we'll check if its up by fetching the models
cx.spawn(|this, mut cx| async move {
let models = get_models(http_client.as_ref(), &api_url, None).await?;
let mut models: Vec<ollama::Model> = models
.into_iter()
// Since there is no metadata from the Ollama API
// indicating which models are embedding models,
// simply filter out models with "-embed" in their name
.filter(|model| !model.name.contains("-embed"))
.map(|model| ollama::Model::new(&model.name))
.collect();
models.sort_by(|a, b| a.name.cmp(&b.name));
this.update(&mut cx, |this, cx| {
this.available_models = models;
cx.notify();
})
})
}
}
impl OllamaLanguageModelProvider {
pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut AppContext) -> Self {
Self {
http_client: http_client.clone(),
state: cx.new_model(|cx| State {
http_client,
available_models: Default::default(),
settings: OllamaSettings::default(),
_subscription: cx.observe_global::<SettingsStore>(|this: &mut State, cx| {
this.settings = AllLanguageModelSettings::get_global(cx).ollama.clone();
cx.notify();
}),
}),
}
}
fn fetch_models(&self, cx: &AppContext) -> Task<Result<()>> {
let http_client = self.http_client.clone();
let api_url = self.state.read(cx).settings.api_url.clone();
let state = self.state.clone();
// As a proxy for the server being "authenticated", we'll check if its up by fetching the models
cx.spawn(|mut cx| async move {
let models = get_models(http_client.as_ref(), &api_url, None).await?;
let mut models: Vec<ollama::Model> = models
.into_iter()
// Since there is no metadata from the Ollama API
// indicating which models are embedding models,
// simply filter out models with "-embed" in their name
.filter(|model| !model.name.contains("-embed"))
.map(|model| ollama::Model::new(&model.name))
.collect();
models.sort_by(|a, b| a.name.cmp(&b.name));
state.update(&mut cx, |this, cx| {
this.available_models = models;
cx.notify();
})
})
}
}
impl LanguageModelProviderState for OllamaLanguageModelProvider {
fn subscribe<T: 'static>(&self, cx: &mut gpui::ModelContext<T>) -> Option<gpui::Subscription> {
Some(cx.observe(&self.state, |_, _, cx| {
cx.notify();
}))
}
}
impl LanguageModelProvider for OllamaLanguageModelProvider {
fn name(&self) -> LanguageModelProviderName {
LanguageModelProviderName(PROVIDER_NAME.into())
}
fn provided_models(&self, cx: &AppContext) -> Vec<Arc<dyn LanguageModel>> {
self.state
.read(cx)
.available_models
.iter()
.map(|model| {
Arc::new(OllamaLanguageModel {
id: LanguageModelId::from(model.name.clone()),
model: model.clone(),
http_client: self.http_client.clone(),
state: self.state.clone(),
}) as Arc<dyn LanguageModel>
})
.collect()
}
fn is_authenticated(&self, cx: &AppContext) -> bool {
!self.state.read(cx).available_models.is_empty()
}
fn authenticate(&self, cx: &AppContext) -> Task<Result<()>> {
if self.is_authenticated(cx) {
Task::ready(Ok(()))
} else {
self.fetch_models(cx)
}
}
fn authentication_prompt(&self, cx: &mut WindowContext) -> AnyView {
let state = self.state.clone();
let fetch_models = Box::new(move |cx: &mut WindowContext| {
state.update(cx, |this, cx| this.fetch_models(cx))
});
cx.new_view(|cx| DownloadOllamaMessage::new(fetch_models, cx))
.into()
}
fn reset_credentials(&self, cx: &AppContext) -> Task<Result<()>> {
self.fetch_models(cx)
}
}
pub struct OllamaLanguageModel {
id: LanguageModelId,
model: ollama::Model,
state: gpui::Model<State>,
http_client: Arc<dyn HttpClient>,
}
impl OllamaLanguageModel {
fn to_ollama_request(&self, request: LanguageModelRequest) -> ChatRequest {
ChatRequest {
model: self.model.name.clone(),
messages: request
.messages
.into_iter()
.map(|msg| match msg.role {
Role::User => ChatMessage::User {
content: msg.content,
},
Role::Assistant => ChatMessage::Assistant {
content: msg.content,
},
Role::System => ChatMessage::System {
content: msg.content,
},
})
.collect(),
keep_alive: self.model.keep_alive.clone().unwrap_or_default(),
stream: true,
options: Some(ChatOptions {
num_ctx: Some(self.model.max_tokens),
stop: Some(request.stop),
temperature: Some(request.temperature),
..Default::default()
}),
}
}
}
impl LanguageModel for OllamaLanguageModel {
fn id(&self) -> LanguageModelId {
self.id.clone()
}
fn name(&self) -> LanguageModelName {
LanguageModelName::from(self.model.display_name().to_string())
}
fn max_token_count(&self) -> usize {
self.model.max_token_count()
}
fn telemetry_id(&self) -> String {
format!("ollama/{}", self.model.id())
}
fn provider_name(&self) -> LanguageModelProviderName {
LanguageModelProviderName(PROVIDER_NAME.into())
}
fn count_tokens(
&self,
request: LanguageModelRequest,
_cx: &AppContext,
) -> BoxFuture<'static, Result<usize>> {
// There is no endpoint for this _yet_ in Ollama
// see: https://github.com/ollama/ollama/issues/1716 and https://github.com/ollama/ollama/issues/3582
let token_count = request
.messages
.iter()
.map(|msg| msg.content.chars().count())
.sum::<usize>()
/ 4;
async move { Ok(token_count) }.boxed()
}
fn stream_completion(
&self,
request: LanguageModelRequest,
cx: &AsyncAppContext,
) -> BoxFuture<'static, Result<BoxStream<'static, Result<String>>>> {
let request = self.to_ollama_request(request);
let http_client = self.http_client.clone();
let Ok((api_url, low_speed_timeout)) = cx.read_model(&self.state, |state, _| {
(
state.settings.api_url.clone(),
state.settings.low_speed_timeout,
)
}) else {
return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
};
async move {
let request =
stream_chat_completion(http_client.as_ref(), &api_url, request, low_speed_timeout);
let response = request.await?;
let stream = response
.filter_map(|response| async move {
match response {
Ok(delta) => {
let content = match delta.message {
ChatMessage::User { content } => content,
ChatMessage::Assistant { content } => content,
ChatMessage::System { content } => content,
};
Some(Ok(content))
}
Err(error) => Some(Err(error)),
}
})
.boxed();
Ok(stream)
}
.boxed()
}
}
struct DownloadOllamaMessage {
retry_connection: Box<dyn Fn(&mut WindowContext) -> Task<Result<()>>>,
}
impl DownloadOllamaMessage {
pub fn new(
retry_connection: Box<dyn Fn(&mut WindowContext) -> Task<Result<()>>>,
_cx: &mut ViewContext<Self>,
) -> Self {
Self { retry_connection }
}
fn render_download_button(&self, _cx: &mut ViewContext<Self>) -> impl IntoElement {
ButtonLike::new("download_ollama_button")
.style(ButtonStyle::Filled)
.size(ButtonSize::Large)
.layer(ElevationIndex::ModalSurface)
.child(Label::new("Get Ollama"))
.on_click(move |_, cx| cx.open_url(OLLAMA_DOWNLOAD_URL))
}
fn render_retry_button(&self, cx: &mut ViewContext<Self>) -> impl IntoElement {
ButtonLike::new("retry_ollama_models")
.style(ButtonStyle::Filled)
.size(ButtonSize::Large)
.layer(ElevationIndex::ModalSurface)
.child(Label::new("Retry"))
.on_click(cx.listener(move |this, _, cx| {
let connected = (this.retry_connection)(cx);
cx.spawn(|_this, _cx| async move {
connected.await?;
anyhow::Ok(())
})
.detach_and_log_err(cx)
}))
}
fn render_next_steps(&self, _cx: &mut ViewContext<Self>) -> impl IntoElement {
v_flex()
.p_4()
.size_full()
.gap_2()
.child(
Label::new("Once Ollama is on your machine, make sure to download a model or two.")
.size(LabelSize::Large),
)
.child(
h_flex().w_full().p_4().justify_center().gap_2().child(
ButtonLike::new("view-models")
.style(ButtonStyle::Filled)
.size(ButtonSize::Large)
.layer(ElevationIndex::ModalSurface)
.child(Label::new("View Available Models"))
.on_click(move |_, cx| cx.open_url(OLLAMA_LIBRARY_URL)),
),
)
}
}
impl Render for DownloadOllamaMessage {
fn render(&mut self, cx: &mut ViewContext<Self>) -> impl IntoElement {
v_flex()
.p_4()
.size_full()
.gap_2()
.child(Label::new("To use Ollama models via the assistant, Ollama must be running on your machine with at least one model downloaded.").size(LabelSize::Large))
.child(
h_flex()
.w_full()
.p_4()
.justify_center()
.gap_2()
.child(
self.render_download_button(cx)
)
.child(
self.render_retry_button(cx)
)
)
.child(self.render_next_steps(cx))
.into_any()
}
}