Add support for interacting with Claude in the assistant panel (#11798)

Release Notes:

- Added support for interacting with Claude in the assistant panel. You
can enable it by adding the following to your `settings.json`:

    ```json
    "assistant": {
        "version": "1",
        "provider": {
            "name": "anthropic"
        }
    }
    ```
This commit is contained in:
Antonio Scandurra 2024-05-14 15:57:52 +02:00 committed by GitHub
parent 019d98898e
commit 5944caaa90
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
12 changed files with 446 additions and 21 deletions

3
Cargo.lock generated
View file

@ -225,6 +225,8 @@ dependencies = [
"anyhow",
"futures 0.3.28",
"http 0.1.0",
"isahc",
"schemars",
"serde",
"serde_json",
"tokio",
@ -332,6 +334,7 @@ dependencies = [
name = "assistant"
version = "0.1.0"
dependencies = [
"anthropic",
"anyhow",
"chrono",
"client",

View file

@ -5,6 +5,10 @@ edition = "2021"
publish = false
license = "AGPL-3.0-or-later"
[features]
default = []
schemars = ["dep:schemars"]
[lints]
workspace = true
@ -15,6 +19,8 @@ path = "src/anthropic.rs"
anyhow.workspace = true
futures.workspace = true
http.workspace = true
isahc.workspace = true
schemars = { workspace = true, optional = true }
serde.workspace = true
serde_json.workspace = true

View file

@ -1,17 +1,21 @@
use anyhow::{anyhow, Result};
use futures::{io::BufReader, stream::BoxStream, AsyncBufReadExt, AsyncReadExt, StreamExt};
use http::{AsyncBody, HttpClient, Method, Request as HttpRequest};
use isahc::config::Configurable;
use serde::{Deserialize, Serialize};
use std::{convert::TryFrom, sync::Arc};
use std::{convert::TryFrom, time::Duration};
pub const ANTHROPIC_API_URL: &'static str = "https://api.anthropic.com";
#[cfg_attr(feature = "schemars", derive(schemars::JsonSchema))]
#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq)]
pub enum Model {
#[default]
#[serde(rename = "claude-3-opus-20240229")]
#[serde(rename = "claude-3-opus", alias = "claude-3-opus-20240229")]
Claude3Opus,
#[serde(rename = "claude-3-sonnet-20240229")]
#[serde(rename = "claude-3-sonnet", alias = "claude-3-sonnet-20240229")]
Claude3Sonnet,
#[serde(rename = "claude-3-haiku-20240307")]
#[serde(rename = "claude-3-haiku", alias = "claude-3-haiku-20240307")]
Claude3Haiku,
}
@ -28,6 +32,14 @@ impl Model {
}
}
pub fn id(&self) -> &'static str {
match self {
Model::Claude3Opus => "claude-3-opus-20240229",
Model::Claude3Sonnet => "claude-3-sonnet-20240229",
Model::Claude3Haiku => "claude-3-opus-20240307",
}
}
pub fn display_name(&self) -> &'static str {
match self {
Self::Claude3Opus => "Claude 3 Opus",
@ -141,20 +153,24 @@ pub enum TextDelta {
}
pub async fn stream_completion(
client: Arc<dyn HttpClient>,
client: &dyn HttpClient,
api_url: &str,
api_key: &str,
request: Request,
low_speed_timeout: Option<Duration>,
) -> Result<BoxStream<'static, Result<ResponseEvent>>> {
let uri = format!("{api_url}/v1/messages");
let request = HttpRequest::builder()
let mut request_builder = HttpRequest::builder()
.method(Method::POST)
.uri(uri)
.header("Anthropic-Version", "2023-06-01")
.header("Anthropic-Beta", "messages-2023-12-15")
.header("Anthropic-Beta", "tools-2024-04-04")
.header("X-Api-Key", api_key)
.header("Content-Type", "application/json")
.body(AsyncBody::from(serde_json::to_string(&request)?))?;
.header("Content-Type", "application/json");
if let Some(low_speed_timeout) = low_speed_timeout {
request_builder = request_builder.low_speed_timeout(100, low_speed_timeout);
}
let request = request_builder.body(AsyncBody::from(serde_json::to_string(&request)?))?;
let mut response = client.send(request).await?;
if response.status().is_success() {
let reader = BufReader::new(response.into_body());

View file

@ -11,6 +11,7 @@ doctest = false
[dependencies]
anyhow.workspace = true
anthropic = { workspace = true, features = ["schemars"] }
chrono.workspace = true
client.workspace = true
collections.workspace = true

View file

@ -7,7 +7,7 @@ mod saved_conversation;
mod streaming_diff;
pub use assistant_panel::AssistantPanel;
use assistant_settings::{AssistantSettings, OpenAiModel, ZedDotDevModel};
use assistant_settings::{AnthropicModel, AssistantSettings, OpenAiModel, ZedDotDevModel};
use client::{proto, Client};
use command_palette_hooks::CommandPaletteFilter;
pub(crate) use completion_provider::*;
@ -72,6 +72,7 @@ impl Display for Role {
pub enum LanguageModel {
ZedDotDev(ZedDotDevModel),
OpenAi(OpenAiModel),
Anthropic(AnthropicModel),
}
impl Default for LanguageModel {
@ -84,6 +85,7 @@ impl LanguageModel {
pub fn telemetry_id(&self) -> String {
match self {
LanguageModel::OpenAi(model) => format!("openai/{}", model.id()),
LanguageModel::Anthropic(model) => format!("anthropic/{}", model.id()),
LanguageModel::ZedDotDev(model) => format!("zed.dev/{}", model.id()),
}
}
@ -91,6 +93,7 @@ impl LanguageModel {
pub fn display_name(&self) -> String {
match self {
LanguageModel::OpenAi(model) => model.display_name().into(),
LanguageModel::Anthropic(model) => model.display_name().into(),
LanguageModel::ZedDotDev(model) => model.display_name().into(),
}
}
@ -98,6 +101,7 @@ impl LanguageModel {
pub fn max_token_count(&self) -> usize {
match self {
LanguageModel::OpenAi(model) => model.max_token_count(),
LanguageModel::Anthropic(model) => model.max_token_count(),
LanguageModel::ZedDotDev(model) => model.max_token_count(),
}
}
@ -105,6 +109,7 @@ impl LanguageModel {
pub fn id(&self) -> &str {
match self {
LanguageModel::OpenAi(model) => model.id(),
LanguageModel::Anthropic(model) => model.id(),
LanguageModel::ZedDotDev(model) => model.id(),
}
}

View file

@ -800,6 +800,11 @@ impl AssistantPanel {
open_ai::Model::FourTurbo => open_ai::Model::FourOmni,
open_ai::Model::FourOmni => open_ai::Model::ThreePointFiveTurbo,
}),
LanguageModel::Anthropic(model) => LanguageModel::Anthropic(match &model {
anthropic::Model::Claude3Opus => anthropic::Model::Claude3Sonnet,
anthropic::Model::Claude3Sonnet => anthropic::Model::Claude3Haiku,
anthropic::Model::Claude3Haiku => anthropic::Model::Claude3Opus,
}),
LanguageModel::ZedDotDev(model) => LanguageModel::ZedDotDev(match &model {
ZedDotDevModel::Gpt3Point5Turbo => ZedDotDevModel::Gpt4,
ZedDotDevModel::Gpt4 => ZedDotDevModel::Gpt4Turbo,

View file

@ -1,5 +1,6 @@
use std::fmt;
pub use anthropic::Model as AnthropicModel;
use gpui::Pixels;
pub use open_ai::Model as OpenAiModel;
use schemars::{
@ -161,6 +162,15 @@ pub enum AssistantProvider {
#[serde(default)]
low_speed_timeout_in_seconds: Option<u64>,
},
#[serde(rename = "anthropic")]
Anthropic {
#[serde(default)]
default_model: AnthropicModel,
#[serde(default = "anthropic_api_url")]
api_url: String,
#[serde(default)]
low_speed_timeout_in_seconds: Option<u64>,
},
}
impl Default for AssistantProvider {
@ -172,7 +182,11 @@ impl Default for AssistantProvider {
}
fn open_ai_url() -> String {
"https://api.openai.com/v1".into()
open_ai::OPEN_AI_API_URL.to_string()
}
fn anthropic_api_url() -> String {
anthropic::ANTHROPIC_API_URL.to_string()
}
#[derive(Default, Debug, Deserialize, Serialize)]

View file

@ -1,8 +1,10 @@
mod anthropic;
#[cfg(test)]
mod fake;
mod open_ai;
mod zed;
pub use anthropic::*;
#[cfg(test)]
pub use fake::*;
pub use open_ai::*;
@ -42,6 +44,17 @@ pub fn init(client: Arc<Client>, cx: &mut AppContext) {
low_speed_timeout_in_seconds.map(Duration::from_secs),
settings_version,
)),
AssistantProvider::Anthropic {
default_model,
api_url,
low_speed_timeout_in_seconds,
} => CompletionProvider::Anthropic(AnthropicCompletionProvider::new(
default_model.clone(),
api_url.clone(),
client.http_client(),
low_speed_timeout_in_seconds.map(Duration::from_secs),
settings_version,
)),
};
cx.set_global(provider);
@ -64,13 +77,28 @@ pub fn init(client: Arc<Client>, cx: &mut AppContext) {
settings_version,
);
}
(
CompletionProvider::Anthropic(provider),
AssistantProvider::Anthropic {
default_model,
api_url,
low_speed_timeout_in_seconds,
},
) => {
provider.update(
default_model.clone(),
api_url.clone(),
low_speed_timeout_in_seconds.map(Duration::from_secs),
settings_version,
);
}
(
CompletionProvider::ZedDotDev(provider),
AssistantProvider::ZedDotDev { default_model },
) => {
provider.update(default_model.clone(), settings_version);
}
(CompletionProvider::OpenAi(_), AssistantProvider::ZedDotDev { default_model }) => {
(_, AssistantProvider::ZedDotDev { default_model }) => {
*provider = CompletionProvider::ZedDotDev(ZedDotDevCompletionProvider::new(
default_model.clone(),
client.clone(),
@ -79,7 +107,7 @@ pub fn init(client: Arc<Client>, cx: &mut AppContext) {
));
}
(
CompletionProvider::ZedDotDev(_),
_,
AssistantProvider::OpenAi {
default_model,
api_url,
@ -94,8 +122,22 @@ pub fn init(client: Arc<Client>, cx: &mut AppContext) {
settings_version,
));
}
#[cfg(test)]
(CompletionProvider::Fake(_), _) => unimplemented!(),
(
_,
AssistantProvider::Anthropic {
default_model,
api_url,
low_speed_timeout_in_seconds,
},
) => {
*provider = CompletionProvider::Anthropic(AnthropicCompletionProvider::new(
default_model.clone(),
api_url.clone(),
client.http_client(),
low_speed_timeout_in_seconds.map(Duration::from_secs),
settings_version,
));
}
}
})
})
@ -104,6 +146,7 @@ pub fn init(client: Arc<Client>, cx: &mut AppContext) {
pub enum CompletionProvider {
OpenAi(OpenAiCompletionProvider),
Anthropic(AnthropicCompletionProvider),
ZedDotDev(ZedDotDevCompletionProvider),
#[cfg(test)]
Fake(FakeCompletionProvider),
@ -119,6 +162,7 @@ impl CompletionProvider {
pub fn settings_version(&self) -> usize {
match self {
CompletionProvider::OpenAi(provider) => provider.settings_version(),
CompletionProvider::Anthropic(provider) => provider.settings_version(),
CompletionProvider::ZedDotDev(provider) => provider.settings_version(),
#[cfg(test)]
CompletionProvider::Fake(_) => unimplemented!(),
@ -128,6 +172,7 @@ impl CompletionProvider {
pub fn is_authenticated(&self) -> bool {
match self {
CompletionProvider::OpenAi(provider) => provider.is_authenticated(),
CompletionProvider::Anthropic(provider) => provider.is_authenticated(),
CompletionProvider::ZedDotDev(provider) => provider.is_authenticated(),
#[cfg(test)]
CompletionProvider::Fake(_) => true,
@ -137,6 +182,7 @@ impl CompletionProvider {
pub fn authenticate(&self, cx: &AppContext) -> Task<Result<()>> {
match self {
CompletionProvider::OpenAi(provider) => provider.authenticate(cx),
CompletionProvider::Anthropic(provider) => provider.authenticate(cx),
CompletionProvider::ZedDotDev(provider) => provider.authenticate(cx),
#[cfg(test)]
CompletionProvider::Fake(_) => Task::ready(Ok(())),
@ -146,6 +192,7 @@ impl CompletionProvider {
pub fn authentication_prompt(&self, cx: &mut WindowContext) -> AnyView {
match self {
CompletionProvider::OpenAi(provider) => provider.authentication_prompt(cx),
CompletionProvider::Anthropic(provider) => provider.authentication_prompt(cx),
CompletionProvider::ZedDotDev(provider) => provider.authentication_prompt(cx),
#[cfg(test)]
CompletionProvider::Fake(_) => unimplemented!(),
@ -155,6 +202,7 @@ impl CompletionProvider {
pub fn reset_credentials(&self, cx: &AppContext) -> Task<Result<()>> {
match self {
CompletionProvider::OpenAi(provider) => provider.reset_credentials(cx),
CompletionProvider::Anthropic(provider) => provider.reset_credentials(cx),
CompletionProvider::ZedDotDev(_) => Task::ready(Ok(())),
#[cfg(test)]
CompletionProvider::Fake(_) => Task::ready(Ok(())),
@ -164,6 +212,9 @@ impl CompletionProvider {
pub fn default_model(&self) -> LanguageModel {
match self {
CompletionProvider::OpenAi(provider) => LanguageModel::OpenAi(provider.default_model()),
CompletionProvider::Anthropic(provider) => {
LanguageModel::Anthropic(provider.default_model())
}
CompletionProvider::ZedDotDev(provider) => {
LanguageModel::ZedDotDev(provider.default_model())
}
@ -179,6 +230,7 @@ impl CompletionProvider {
) -> BoxFuture<'static, Result<usize>> {
match self {
CompletionProvider::OpenAi(provider) => provider.count_tokens(request, cx),
CompletionProvider::Anthropic(provider) => provider.count_tokens(request, cx),
CompletionProvider::ZedDotDev(provider) => provider.count_tokens(request, cx),
#[cfg(test)]
CompletionProvider::Fake(_) => unimplemented!(),
@ -191,6 +243,7 @@ impl CompletionProvider {
) -> BoxFuture<'static, Result<BoxStream<'static, Result<String>>>> {
match self {
CompletionProvider::OpenAi(provider) => provider.complete(request),
CompletionProvider::Anthropic(provider) => provider.complete(request),
CompletionProvider::ZedDotDev(provider) => provider.complete(request),
#[cfg(test)]
CompletionProvider::Fake(provider) => provider.complete(),

View file

@ -0,0 +1,317 @@
use crate::count_open_ai_tokens;
use crate::{
assistant_settings::AnthropicModel, CompletionProvider, LanguageModel, LanguageModelRequest,
Role,
};
use anthropic::{stream_completion, Request, RequestMessage, Role as AnthropicRole};
use anyhow::{anyhow, Result};
use editor::{Editor, EditorElement, EditorStyle};
use futures::{future::BoxFuture, stream::BoxStream, FutureExt, StreamExt};
use gpui::{AnyView, AppContext, FontStyle, FontWeight, Task, TextStyle, View, WhiteSpace};
use http::HttpClient;
use settings::Settings;
use std::time::Duration;
use std::{env, sync::Arc};
use theme::ThemeSettings;
use ui::prelude::*;
use util::ResultExt;
pub struct AnthropicCompletionProvider {
api_key: Option<String>,
api_url: String,
default_model: AnthropicModel,
http_client: Arc<dyn HttpClient>,
low_speed_timeout: Option<Duration>,
settings_version: usize,
}
impl AnthropicCompletionProvider {
pub fn new(
default_model: AnthropicModel,
api_url: String,
http_client: Arc<dyn HttpClient>,
low_speed_timeout: Option<Duration>,
settings_version: usize,
) -> Self {
Self {
api_key: None,
api_url,
default_model,
http_client,
low_speed_timeout,
settings_version,
}
}
pub fn update(
&mut self,
default_model: AnthropicModel,
api_url: String,
low_speed_timeout: Option<Duration>,
settings_version: usize,
) {
self.default_model = default_model;
self.api_url = api_url;
self.low_speed_timeout = low_speed_timeout;
self.settings_version = settings_version;
}
pub fn settings_version(&self) -> usize {
self.settings_version
}
pub fn is_authenticated(&self) -> bool {
self.api_key.is_some()
}
pub fn authenticate(&self, cx: &AppContext) -> Task<Result<()>> {
if self.is_authenticated() {
Task::ready(Ok(()))
} else {
let api_url = self.api_url.clone();
cx.spawn(|mut cx| async move {
let api_key = if let Ok(api_key) = 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)?
};
cx.update_global::<CompletionProvider, _>(|provider, _cx| {
if let CompletionProvider::Anthropic(provider) = provider {
provider.api_key = Some(api_key);
}
})
})
}
}
pub fn reset_credentials(&self, cx: &AppContext) -> Task<Result<()>> {
let delete_credentials = cx.delete_credentials(&self.api_url);
cx.spawn(|mut cx| async move {
delete_credentials.await.log_err();
cx.update_global::<CompletionProvider, _>(|provider, _cx| {
if let CompletionProvider::Anthropic(provider) = provider {
provider.api_key = None;
}
})
})
}
pub fn authentication_prompt(&self, cx: &mut WindowContext) -> AnyView {
cx.new_view(|cx| AuthenticationPrompt::new(self.api_url.clone(), cx))
.into()
}
pub fn default_model(&self) -> AnthropicModel {
self.default_model.clone()
}
pub fn count_tokens(
&self,
request: LanguageModelRequest,
cx: &AppContext,
) -> BoxFuture<'static, Result<usize>> {
count_open_ai_tokens(request, cx.background_executor())
}
pub fn complete(
&self,
request: LanguageModelRequest,
) -> BoxFuture<'static, Result<BoxStream<'static, Result<String>>>> {
let request = self.to_anthropic_request(request);
let http_client = self.http_client.clone();
let api_key = self.api_key.clone();
let api_url = self.api_url.clone();
let low_speed_timeout = self.low_speed_timeout;
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?;
let stream = response
.filter_map(|response| async move {
match response {
Ok(response) => match response {
anthropic::ResponseEvent::ContentBlockStart {
content_block, ..
} => match content_block {
anthropic::ContentBlock::Text { text } => Some(Ok(text)),
},
anthropic::ResponseEvent::ContentBlockDelta { delta, .. } => {
match delta {
anthropic::TextDelta::TextDelta { text } => Some(Ok(text)),
}
}
_ => None,
},
Err(error) => Some(Err(error)),
}
})
.boxed();
Ok(stream)
}
.boxed()
}
fn to_anthropic_request(&self, request: LanguageModelRequest) -> Request {
let model = match request.model {
LanguageModel::Anthropic(model) => model,
_ => self.default_model(),
};
let mut system_message = String::new();
let messages = request
.messages
.into_iter()
.filter_map(|message| {
match message.role {
Role::User => Some(RequestMessage {
role: AnthropicRole::User,
content: message.content,
}),
Role::Assistant => Some(RequestMessage {
role: AnthropicRole::Assistant,
content: message.content,
}),
// Anthropic's API breaks system instructions out as a separate field rather
// than having a system message role.
Role::System => {
if !system_message.is_empty() {
system_message.push_str("\n\n");
}
system_message.push_str(&message.content);
None
}
}
})
.collect();
Request {
model,
messages,
stream: true,
system: system_message,
max_tokens: 4092,
}
}
}
struct AuthenticationPrompt {
api_key: View<Editor>,
api_url: String,
}
impl AuthenticationPrompt {
fn new(api_url: String, 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
}),
api_url,
}
}
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(&self.api_url, "Bearer", api_key.as_bytes());
cx.spawn(|_, mut cx| async move {
write_credentials.await?;
cx.update_global::<CompletionProvider, _>(|provider, _cx| {
if let CompletionProvider::Anthropic(provider) = provider {
provider.api_key = Some(api_key);
}
})
})
.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_size: rems(0.875).into(),
font_weight: FontWeight::NORMAL,
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::Ai).size(IconSize::XSmall))
.child(
Label::new("in the status bar to close this panel.").size(LabelSize::Small),
),
)
.into_any()
}
}

View file

@ -151,8 +151,8 @@ impl OpenAiCompletionProvider {
fn to_open_ai_request(&self, request: LanguageModelRequest) -> Request {
let model = match request.model {
LanguageModel::ZedDotDev(_) => self.default_model(),
LanguageModel::OpenAi(model) => model,
_ => self.default_model(),
};
Request {
@ -205,8 +205,12 @@ pub fn count_open_ai_tokens(
match request.model {
LanguageModel::OpenAi(OpenAiModel::FourOmni)
| LanguageModel::ZedDotDev(ZedDotDevModel::Gpt4Omni) => {
// Tiktoken doesn't yet support gpt-4o, so we manually use the
| LanguageModel::ZedDotDev(ZedDotDevModel::Gpt4Omni)
| LanguageModel::Anthropic(_)
| LanguageModel::ZedDotDev(ZedDotDevModel::Claude3Opus)
| LanguageModel::ZedDotDev(ZedDotDevModel::Claude3Sonnet)
| LanguageModel::ZedDotDev(ZedDotDevModel::Claude3Haiku) => {
// 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)
}

View file

@ -78,7 +78,6 @@ impl ZedDotDevCompletionProvider {
cx: &AppContext,
) -> BoxFuture<'static, Result<usize>> {
match request.model {
LanguageModel::OpenAi(_) => future::ready(Err(anyhow!("invalid model"))).boxed(),
LanguageModel::ZedDotDev(ZedDotDevModel::Gpt4)
| LanguageModel::ZedDotDev(ZedDotDevModel::Gpt4Turbo)
| LanguageModel::ZedDotDev(ZedDotDevModel::Gpt4Omni)
@ -108,6 +107,7 @@ impl ZedDotDevCompletionProvider {
}
.boxed()
}
_ => future::ready(Err(anyhow!("invalid model"))).boxed(),
}
}

View file

@ -4489,8 +4489,8 @@ async fn complete_with_anthropic(
.collect();
let mut stream = anthropic::stream_completion(
session.http_client.clone(),
"https://api.anthropic.com",
session.http_client.as_ref(),
anthropic::ANTHROPIC_API_URL,
&api_key,
anthropic::Request {
model,
@ -4499,6 +4499,7 @@ async fn complete_with_anthropic(
system: system_message,
max_tokens: 4092,
},
None,
)
.await?;