Files
oak-gpui/crates/language_model/src/provider/anthropic.rs
T
Antonio ScandurraandNathan d6bdaa8a91 Simplify LLM protocol (#15366)
In this pull request, we change the zed.dev protocol so that we pass the
raw JSON for the specified provider directly to our server. This avoids
the need to define a protobuf message that's a superset of all these
formats.

@bennetbo: We also changed the settings for available_models under
zed.dev to be a flat format, because the nesting seemed too confusing.
Can you help us upgrade the local provider configuration to be
consistent with this? We do whatever we need to do when parsing the
settings to make this simple for users, even if it's a bit more complex
on our end. We want to use versioning to avoid breaking existing users,
but need to keep making progress.

```json
"zed.dev": {
  "available_models": [
    {
      "provider": "anthropic",
        "name": "some-newly-released-model-we-havent-added",
        "max_tokens": 200000
      }
  ]
}
```

Release Notes:

- N/A

---------

Co-authored-by: Nathan <nathan@zed.dev>
2024-07-28 11:07:10 +02:00

378 lines
12 KiB
Rust

use anthropic::stream_completion;
use anyhow::{anyhow, Result};
use collections::BTreeMap;
use editor::{Editor, EditorElement, EditorStyle};
use futures::{future::BoxFuture, stream::BoxStream, FutureExt, StreamExt};
use gpui::{
AnyView, AppContext, AsyncAppContext, FontStyle, Subscription, Task, TextStyle, View,
WhiteSpace,
};
use http_client::HttpClient;
use settings::{Settings, SettingsStore};
use std::{sync::Arc, time::Duration};
use strum::IntoEnumIterator;
use theme::ThemeSettings;
use ui::prelude::*;
use util::ResultExt;
use crate::{
settings::AllLanguageModelSettings, LanguageModel, LanguageModelId, LanguageModelName,
LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
LanguageModelProviderState, LanguageModelRequest, Role,
};
const PROVIDER_ID: &str = "anthropic";
const PROVIDER_NAME: &str = "Anthropic";
#[derive(Default, Clone, Debug, PartialEq)]
pub struct AnthropicSettings {
pub api_url: String,
pub low_speed_timeout: Option<Duration>,
pub available_models: Vec<anthropic::Model>,
}
pub struct AnthropicLanguageModelProvider {
http_client: Arc<dyn HttpClient>,
state: gpui::Model<State>,
}
struct State {
api_key: Option<String>,
_subscription: Subscription,
}
impl AnthropicLanguageModelProvider {
pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut AppContext) -> Self {
let state = cx.new_model(|cx| State {
api_key: None,
_subscription: cx.observe_global::<SettingsStore>(|_, cx| {
cx.notify();
}),
});
Self { http_client, state }
}
}
impl LanguageModelProviderState for AnthropicLanguageModelProvider {
fn subscribe<T: 'static>(&self, cx: &mut gpui::ModelContext<T>) -> Option<gpui::Subscription> {
Some(cx.observe(&self.state, |_, _, cx| {
cx.notify();
}))
}
}
impl LanguageModelProvider for AnthropicLanguageModelProvider {
fn id(&self) -> LanguageModelProviderId {
LanguageModelProviderId(PROVIDER_ID.into())
}
fn name(&self) -> LanguageModelProviderName {
LanguageModelProviderName(PROVIDER_NAME.into())
}
fn provided_models(&self, cx: &AppContext) -> Vec<Arc<dyn LanguageModel>> {
let mut models = BTreeMap::default();
// Add base models from anthropic::Model::iter()
for model in anthropic::Model::iter() {
if !matches!(model, anthropic::Model::Custom { .. }) {
models.insert(model.id().to_string(), model);
}
}
// Override with available models from settings
for model in AllLanguageModelSettings::get_global(cx)
.anthropic
.available_models
.iter()
{
models.insert(model.id().to_string(), model.clone());
}
models
.into_values()
.map(|model| {
Arc::new(AnthropicModel {
id: LanguageModelId::from(model.id().to_string()),
model,
state: self.state.clone(),
http_client: self.http_client.clone(),
}) as Arc<dyn LanguageModel>
})
.collect()
}
fn is_authenticated(&self, cx: &AppContext) -> bool {
self.state.read(cx).api_key.is_some()
}
fn authenticate(&self, cx: &AppContext) -> Task<Result<()>> {
if self.is_authenticated(cx) {
Task::ready(Ok(()))
} else {
let api_url = AllLanguageModelSettings::get_global(cx)
.anthropic
.api_url
.clone();
let state = self.state.clone();
cx.spawn(|mut cx| async move {
let api_key = if let Ok(api_key) = std::env::var("ANTHROPIC_API_KEY") {
api_key
} else {
let (_, api_key) = cx
.update(|cx| cx.read_credentials(&api_url))?
.await?
.ok_or_else(|| anyhow!("credentials not found"))?;
String::from_utf8(api_key)?
};
state.update(&mut cx, |this, cx| {
this.api_key = Some(api_key);
cx.notify();
})
})
}
}
fn authentication_prompt(&self, cx: &mut WindowContext) -> AnyView {
cx.new_view(|cx| AuthenticationPrompt::new(self.state.clone(), cx))
.into()
}
fn reset_credentials(&self, cx: &AppContext) -> Task<Result<()>> {
let state = self.state.clone();
let delete_credentials =
cx.delete_credentials(&AllLanguageModelSettings::get_global(cx).anthropic.api_url);
cx.spawn(|mut cx| async move {
delete_credentials.await.log_err();
state.update(&mut cx, |this, cx| {
this.api_key = None;
cx.notify();
})
})
}
}
pub struct AnthropicModel {
id: LanguageModelId,
model: anthropic::Model,
state: gpui::Model<State>,
http_client: Arc<dyn HttpClient>,
}
pub fn count_anthropic_tokens(
request: LanguageModelRequest,
cx: &AppContext,
) -> BoxFuture<'static, Result<usize>> {
cx.background_executor()
.spawn(async move {
let messages = request
.messages
.into_iter()
.map(|message| tiktoken_rs::ChatCompletionRequestMessage {
role: match message.role {
Role::User => "user".into(),
Role::Assistant => "assistant".into(),
Role::System => "system".into(),
},
content: Some(message.content),
name: None,
function_call: None,
})
.collect::<Vec<_>>();
// Tiktoken doesn't yet support these models, so we manually use the
// same tokenizer as GPT-4.
tiktoken_rs::num_tokens_from_messages("gpt-4", &messages)
})
.boxed()
}
impl LanguageModel for AnthropicModel {
fn id(&self) -> LanguageModelId {
self.id.clone()
}
fn name(&self) -> LanguageModelName {
LanguageModelName::from(self.model.display_name().to_string())
}
fn provider_id(&self) -> LanguageModelProviderId {
LanguageModelProviderId(PROVIDER_ID.into())
}
fn provider_name(&self) -> LanguageModelProviderName {
LanguageModelProviderName(PROVIDER_NAME.into())
}
fn telemetry_id(&self) -> String {
format!("anthropic/{}", self.model.id())
}
fn max_token_count(&self) -> usize {
self.model.max_token_count()
}
fn count_tokens(
&self,
request: LanguageModelRequest,
cx: &AppContext,
) -> BoxFuture<'static, Result<usize>> {
count_anthropic_tokens(request, cx)
}
fn stream_completion(
&self,
request: LanguageModelRequest,
cx: &AsyncAppContext,
) -> BoxFuture<'static, Result<BoxStream<'static, Result<String>>>> {
let request = request.into_anthropic(self.model.id().into());
let http_client = self.http_client.clone();
let Ok((api_key, api_url, low_speed_timeout)) = cx.read_model(&self.state, |state, cx| {
let settings = &AllLanguageModelSettings::get_global(cx).anthropic;
(
state.api_key.clone(),
settings.api_url.clone(),
settings.low_speed_timeout,
)
}) else {
return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
};
async move {
let api_key = api_key.ok_or_else(|| anyhow!("missing api key"))?;
let request = stream_completion(
http_client.as_ref(),
&api_url,
&api_key,
request,
low_speed_timeout,
);
let response = request.await?;
Ok(anthropic::extract_text_from_events(response).boxed())
}
.boxed()
}
}
struct AuthenticationPrompt {
api_key: View<Editor>,
state: gpui::Model<State>,
}
impl AuthenticationPrompt {
fn new(state: gpui::Model<State>, cx: &mut WindowContext) -> Self {
Self {
api_key: cx.new_view(|cx| {
let mut editor = Editor::single_line(cx);
editor.set_placeholder_text(
"sk-000000000000000000000000000000000000000000000000",
cx,
);
editor
}),
state,
}
}
fn save_api_key(&mut self, _: &menu::Confirm, cx: &mut ViewContext<Self>) {
let api_key = self.api_key.read(cx).text(cx);
if api_key.is_empty() {
return;
}
let write_credentials = cx.write_credentials(
AllLanguageModelSettings::get_global(cx)
.anthropic
.api_url
.as_str(),
"Bearer",
api_key.as_bytes(),
);
let state = self.state.clone();
cx.spawn(|_, mut cx| async move {
write_credentials.await?;
state.update(&mut cx, |this, cx| {
this.api_key = Some(api_key);
cx.notify();
})
})
.detach_and_log_err(cx);
}
fn render_api_key_editor(&self, cx: &mut ViewContext<Self>) -> impl IntoElement {
let settings = ThemeSettings::get_global(cx);
let text_style = TextStyle {
color: cx.theme().colors().text,
font_family: settings.ui_font.family.clone(),
font_features: settings.ui_font.features.clone(),
font_fallbacks: settings.ui_font.fallbacks.clone(),
font_size: rems(0.875).into(),
font_weight: settings.ui_font.weight,
font_style: FontStyle::Normal,
line_height: relative(1.3),
background_color: None,
underline: None,
strikethrough: None,
white_space: WhiteSpace::Normal,
};
EditorElement::new(
&self.api_key,
EditorStyle {
background: cx.theme().colors().editor_background,
local_player: cx.theme().players().local(),
text: text_style,
..Default::default()
},
)
}
}
impl Render for AuthenticationPrompt {
fn render(&mut self, cx: &mut ViewContext<Self>) -> impl IntoElement {
const INSTRUCTIONS: [&str; 4] = [
"To use the assistant panel or inline assistant, you need to add your Anthropic API key.",
"You can create an API key at: https://console.anthropic.com/settings/keys",
"",
"Paste your Anthropic API key below and hit enter to use the assistant:",
];
v_flex()
.p_4()
.size_full()
.on_action(cx.listener(Self::save_api_key))
.children(
INSTRUCTIONS.map(|instruction| Label::new(instruction).size(LabelSize::Small)),
)
.child(
h_flex()
.w_full()
.my_2()
.px_2()
.py_1()
.bg(cx.theme().colors().editor_background)
.rounded_md()
.child(self.render_api_key_editor(cx)),
)
.child(
Label::new(
"You can also assign the ANTHROPIC_API_KEY environment variable and restart Zed.",
)
.size(LabelSize::Small),
)
.child(
h_flex()
.gap_2()
.child(Label::new("Click on").size(LabelSize::Small))
.child(Icon::new(IconName::ZedAssistant).size(IconSize::XSmall))
.child(
Label::new("in the status bar to close this panel.").size(LabelSize::Small),
),
)
.into_any()
}
}