Add DeepSeek support (#23551)

- Added support for DeepSeek as a new language model provider in Zed
Assistant
- Implemented streaming API support for real-time responses from
DeepSeek models.
- Added a configuration UI for DeepSeek API key management and settings.
- Updated documentation with detailed setup instructions for DeepSeek
integration.
- Added DeepSeek-specific icons and model definitions for seamless
integration into the Zed UI.
- Integrated DeepSeek into the language model registry, making it
available alongside other providers like OpenAI and Anthropic.

Release Notes:

- Added support for DeepSeek to the Assistant.

---------

Co-authored-by: Marshall Bowers <git@maxdeviant.com>
This commit is contained in:
邻二氮杂菲 2025-01-28 02:40:59 +08:00 committed by GitHub
parent f096a28a19
commit 29bfb56739
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GPG key ID: B5690EEEBB952194
19 changed files with 1090 additions and 1 deletions

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@ -21,6 +21,7 @@ lmstudio = { workspace = true, features = ["schemars"] }
log.workspace = true
ollama = { workspace = true, features = ["schemars"] }
open_ai = { workspace = true, features = ["schemars"] }
deepseek = { workspace = true, features = ["schemars"] }
schemars.workspace = true
serde.workspace = true
settings.workspace = true

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@ -2,6 +2,7 @@ use std::sync::Arc;
use ::open_ai::Model as OpenAiModel;
use anthropic::Model as AnthropicModel;
use deepseek::Model as DeepseekModel;
use feature_flags::FeatureFlagAppExt;
use gpui::{App, Pixels};
use language_model::{CloudModel, LanguageModel};
@ -46,6 +47,11 @@ pub enum AssistantProviderContentV1 {
default_model: Option<LmStudioModel>,
api_url: Option<String>,
},
#[serde(rename = "deepseek")]
DeepSeek {
default_model: Option<DeepseekModel>,
api_url: Option<String>,
},
}
#[derive(Debug, Default)]
@ -149,6 +155,12 @@ impl AssistantSettingsContent {
model: model.id().to_string(),
})
}
AssistantProviderContentV1::DeepSeek { default_model, .. } => {
default_model.map(|model| LanguageModelSelection {
provider: "deepseek".to_string(),
model: model.id().to_string(),
})
}
}),
inline_alternatives: None,
enable_experimental_live_diffs: None,
@ -253,6 +265,18 @@ impl AssistantSettingsContent {
available_models,
});
}
"deepseek" => {
let api_url = match &settings.provider {
Some(AssistantProviderContentV1::DeepSeek { api_url, .. }) => {
api_url.clone()
}
_ => None,
};
settings.provider = Some(AssistantProviderContentV1::DeepSeek {
default_model: DeepseekModel::from_id(&model).ok(),
api_url,
});
}
_ => {}
},
VersionedAssistantSettingsContent::V2(settings) => {
@ -341,6 +365,7 @@ fn providers_schema(_: &mut schemars::gen::SchemaGenerator) -> schemars::schema:
"openai".into(),
"zed.dev".into(),
"copilot_chat".into(),
"deepseek".into(),
]),
..Default::default()
}
@ -380,7 +405,7 @@ pub struct AssistantSettingsContentV1 {
default_height: Option<f32>,
/// The provider of the assistant service.
///
/// This can be "openai", "anthropic", "ollama", "lmstudio", "zed.dev"
/// This can be "openai", "anthropic", "ollama", "lmstudio", "deepseek", "zed.dev"
/// each with their respective default models and configurations.
provider: Option<AssistantProviderContentV1>,
}

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@ -0,0 +1,24 @@
[package]
name = "deepseek"
version = "0.1.0"
edition.workspace = true
publish.workspace = true
license = "GPL-3.0-or-later"
[lints]
workspace = true
[lib]
path = "src/deepseek.rs"
[features]
default = []
schemars = ["dep:schemars"]
[dependencies]
anyhow.workspace = true
futures.workspace = true
http_client.workspace = true
schemars = { workspace = true, optional = true }
serde.workspace = true
serde_json.workspace = true

1
crates/deepseek/LICENSE-GPL Symbolic link
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@ -0,0 +1 @@
../../LICENSE-GPL

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@ -0,0 +1,301 @@
use anyhow::{anyhow, Result};
use futures::{
io::BufReader,
stream::{BoxStream, StreamExt},
AsyncBufReadExt, AsyncReadExt,
};
use http_client::{AsyncBody, HttpClient, Method, Request as HttpRequest};
use serde::{Deserialize, Serialize};
use serde_json::Value;
use std::convert::TryFrom;
pub const DEEPSEEK_API_URL: &str = "https://api.deepseek.com";
#[derive(Clone, Copy, Serialize, Deserialize, Debug, Eq, PartialEq)]
#[serde(rename_all = "lowercase")]
pub enum Role {
User,
Assistant,
System,
Tool,
}
impl TryFrom<String> for Role {
type Error = anyhow::Error;
fn try_from(value: String) -> Result<Self> {
match value.as_str() {
"user" => Ok(Self::User),
"assistant" => Ok(Self::Assistant),
"system" => Ok(Self::System),
"tool" => Ok(Self::Tool),
_ => Err(anyhow!("invalid role '{value}'")),
}
}
}
impl From<Role> for String {
fn from(val: Role) -> Self {
match val {
Role::User => "user".to_owned(),
Role::Assistant => "assistant".to_owned(),
Role::System => "system".to_owned(),
Role::Tool => "tool".to_owned(),
}
}
}
#[cfg_attr(feature = "schemars", derive(schemars::JsonSchema))]
#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq)]
pub enum Model {
#[serde(rename = "deepseek-chat")]
#[default]
Chat,
#[serde(rename = "deepseek-reasoner")]
Reasoner,
#[serde(rename = "custom")]
Custom {
name: String,
/// The name displayed in the UI, such as in the assistant panel model dropdown menu.
display_name: Option<String>,
max_tokens: usize,
max_output_tokens: Option<u32>,
},
}
impl Model {
pub fn from_id(id: &str) -> Result<Self> {
match id {
"deepseek-chat" => Ok(Self::Chat),
"deepseek-reasoner" => Ok(Self::Reasoner),
_ => Err(anyhow!("invalid model id")),
}
}
pub fn id(&self) -> &str {
match self {
Self::Chat => "deepseek-chat",
Self::Reasoner => "deepseek-reasoner",
Self::Custom { name, .. } => name,
}
}
pub fn display_name(&self) -> &str {
match self {
Self::Chat => "DeepSeek Chat",
Self::Reasoner => "DeepSeek Reasoner",
Self::Custom {
name, display_name, ..
} => display_name.as_ref().unwrap_or(name).as_str(),
}
}
pub fn max_token_count(&self) -> usize {
match self {
Self::Chat | Self::Reasoner => 64_000,
Self::Custom { max_tokens, .. } => *max_tokens,
}
}
pub fn max_output_tokens(&self) -> Option<u32> {
match self {
Self::Chat => Some(8_192),
Self::Reasoner => Some(8_192),
Self::Custom {
max_output_tokens, ..
} => *max_output_tokens,
}
}
}
#[derive(Debug, Serialize, Deserialize)]
pub struct Request {
pub model: String,
pub messages: Vec<RequestMessage>,
pub stream: bool,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub max_tokens: Option<u32>,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub temperature: Option<f32>,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub response_format: Option<ResponseFormat>,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
pub tools: Vec<ToolDefinition>,
}
#[derive(Debug, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub enum ResponseFormat {
Text,
#[serde(rename = "json_object")]
JsonObject,
}
#[derive(Debug, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum ToolDefinition {
Function { function: FunctionDefinition },
}
#[derive(Debug, Serialize, Deserialize)]
pub struct FunctionDefinition {
pub name: String,
pub description: Option<String>,
pub parameters: Option<Value>,
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
#[serde(tag = "role", rename_all = "lowercase")]
pub enum RequestMessage {
Assistant {
content: Option<String>,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
tool_calls: Vec<ToolCall>,
},
User {
content: String,
},
System {
content: String,
},
Tool {
content: String,
tool_call_id: String,
},
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct ToolCall {
pub id: String,
#[serde(flatten)]
pub content: ToolCallContent,
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
#[serde(tag = "type", rename_all = "lowercase")]
pub enum ToolCallContent {
Function { function: FunctionContent },
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct FunctionContent {
pub name: String,
pub arguments: String,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct Response {
pub id: String,
pub object: String,
pub created: u64,
pub model: String,
pub choices: Vec<Choice>,
pub usage: Usage,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub reasoning_content: Option<String>,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct Usage {
pub prompt_tokens: u32,
pub completion_tokens: u32,
pub total_tokens: u32,
#[serde(default)]
pub prompt_cache_hit_tokens: u32,
#[serde(default)]
pub prompt_cache_miss_tokens: u32,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct Choice {
pub index: u32,
pub message: RequestMessage,
pub finish_reason: Option<String>,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct StreamResponse {
pub id: String,
pub object: String,
pub created: u64,
pub model: String,
pub choices: Vec<StreamChoice>,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct StreamChoice {
pub index: u32,
pub delta: StreamDelta,
pub finish_reason: Option<String>,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct StreamDelta {
pub role: Option<Role>,
pub content: Option<String>,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub tool_calls: Option<Vec<ToolCallChunk>>,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub reasoning_content: Option<String>,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct ToolCallChunk {
pub index: usize,
pub id: Option<String>,
pub function: Option<FunctionChunk>,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct FunctionChunk {
pub name: Option<String>,
pub arguments: Option<String>,
}
pub async fn stream_completion(
client: &dyn HttpClient,
api_url: &str,
api_key: &str,
request: Request,
) -> Result<BoxStream<'static, Result<StreamResponse>>> {
let uri = format!("{api_url}/v1/chat/completions");
let request_builder = HttpRequest::builder()
.method(Method::POST)
.uri(uri)
.header("Content-Type", "application/json")
.header("Authorization", format!("Bearer {}", api_key));
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());
Ok(reader
.lines()
.filter_map(|line| async move {
match line {
Ok(line) => {
let line = line.strip_prefix("data: ")?;
if line == "[DONE]" {
None
} else {
match serde_json::from_str(line) {
Ok(response) => Some(Ok(response)),
Err(error) => Some(Err(anyhow!(error))),
}
}
}
Err(error) => Some(Err(anyhow!(error))),
}
})
.boxed())
} else {
let mut body = String::new();
response.body_mut().read_to_string(&mut body).await?;
Err(anyhow!(
"Failed to connect to DeepSeek API: {} {}",
response.status(),
body,
))
}
}

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@ -29,6 +29,7 @@ log.workspace = true
ollama = { workspace = true, features = ["schemars"] }
open_ai = { workspace = true, features = ["schemars"] }
lmstudio = { workspace = true, features = ["schemars"] }
deepseek = { workspace = true, features = ["schemars"] }
parking_lot.workspace = true
proto.workspace = true
schemars.workspace = true

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@ -410,6 +410,84 @@ impl LanguageModelRequest {
top_p: None,
}
}
pub fn into_deepseek(self, model: String, max_output_tokens: Option<u32>) -> deepseek::Request {
let is_reasoner = model == "deepseek-reasoner";
let len = self.messages.len();
let merged_messages =
self.messages
.into_iter()
.fold(Vec::with_capacity(len), |mut acc, msg| {
let role = msg.role;
let content = msg.string_contents();
if is_reasoner {
if let Some(last_msg) = acc.last_mut() {
match (last_msg, role) {
(deepseek::RequestMessage::User { content: last }, Role::User) => {
last.push(' ');
last.push_str(&content);
return acc;
}
(
deepseek::RequestMessage::Assistant {
content: last_content,
..
},
Role::Assistant,
) => {
*last_content = last_content
.take()
.map(|c| {
let mut s =
String::with_capacity(c.len() + content.len() + 1);
s.push_str(&c);
s.push(' ');
s.push_str(&content);
s
})
.or(Some(content));
return acc;
}
_ => {}
}
}
}
acc.push(match role {
Role::User => deepseek::RequestMessage::User { content },
Role::Assistant => deepseek::RequestMessage::Assistant {
content: Some(content),
tool_calls: Vec::new(),
},
Role::System => deepseek::RequestMessage::System { content },
});
acc
});
deepseek::Request {
model,
messages: merged_messages,
stream: true,
max_tokens: max_output_tokens,
temperature: if is_reasoner { None } else { self.temperature },
response_format: None,
tools: self
.tools
.into_iter()
.map(|tool| deepseek::ToolDefinition::Function {
function: deepseek::FunctionDefinition {
name: tool.name,
description: Some(tool.description),
parameters: Some(tool.input_schema),
},
})
.collect(),
}
}
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]

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@ -66,6 +66,16 @@ impl From<Role> for open_ai::Role {
}
}
impl From<Role> for deepseek::Role {
fn from(val: Role) -> Self {
match val {
Role::User => deepseek::Role::User,
Role::Assistant => deepseek::Role::Assistant,
Role::System => deepseek::Role::System,
}
}
}
impl From<Role> for lmstudio::Role {
fn from(val: Role) -> Self {
match val {

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@ -29,6 +29,7 @@ menu.workspace = true
ollama = { workspace = true, features = ["schemars"] }
lmstudio = { workspace = true, features = ["schemars"] }
open_ai = { workspace = true, features = ["schemars"] }
deepseek = { workspace = true, features = ["schemars"] }
project.workspace = true
proto.workspace = true
schemars.workspace = true

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@ -4,6 +4,7 @@ use client::{Client, UserStore};
use fs::Fs;
use gpui::{App, Context, Entity};
use language_model::{LanguageModelProviderId, LanguageModelRegistry, ZED_CLOUD_PROVIDER_ID};
use provider::deepseek::DeepSeekLanguageModelProvider;
mod logging;
pub mod provider;
@ -55,6 +56,10 @@ fn register_language_model_providers(
LmStudioLanguageModelProvider::new(client.http_client(), cx),
cx,
);
registry.register_provider(
DeepSeekLanguageModelProvider::new(client.http_client(), cx),
cx,
);
registry.register_provider(
GoogleLanguageModelProvider::new(client.http_client(), cx),
cx,

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@ -1,6 +1,7 @@
pub mod anthropic;
pub mod cloud;
pub mod copilot_chat;
pub mod deepseek;
pub mod google;
pub mod lmstudio;
pub mod ollama;

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@ -0,0 +1,559 @@
use anyhow::{anyhow, Result};
use collections::BTreeMap;
use editor::{Editor, EditorElement, EditorStyle};
use futures::{future::BoxFuture, stream::BoxStream, FutureExt, StreamExt};
use gpui::{
AnyView, AppContext, AsyncApp, Entity, FontStyle, Subscription, Task, TextStyle, WhiteSpace,
};
use http_client::HttpClient;
use language_model::{
LanguageModel, LanguageModelCompletionEvent, LanguageModelId, LanguageModelName,
LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
LanguageModelProviderState, LanguageModelRequest, RateLimiter, Role,
};
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};
use settings::{Settings, SettingsStore};
use std::sync::Arc;
use theme::ThemeSettings;
use ui::{prelude::*, Icon, IconName};
use util::ResultExt;
use crate::AllLanguageModelSettings;
const PROVIDER_ID: &str = "deepseek";
const PROVIDER_NAME: &str = "DeepSeek";
const DEEPSEEK_API_KEY_VAR: &str = "DEEPSEEK_API_KEY";
#[derive(Default, Clone, Debug, PartialEq)]
pub struct DeepSeekSettings {
pub api_url: String,
pub available_models: Vec<AvailableModel>,
}
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
pub struct AvailableModel {
pub name: String,
pub display_name: Option<String>,
pub max_tokens: usize,
pub max_output_tokens: Option<u32>,
}
pub struct DeepSeekLanguageModelProvider {
http_client: Arc<dyn HttpClient>,
state: Entity<State>,
}
pub struct State {
api_key: Option<String>,
api_key_from_env: bool,
_subscription: Subscription,
}
impl State {
fn is_authenticated(&self) -> bool {
self.api_key.is_some()
}
fn reset_api_key(&self, cx: &mut Context<Self>) -> Task<Result<()>> {
let settings = &AllLanguageModelSettings::get_global(cx).deepseek;
let delete_credentials = cx.delete_credentials(&settings.api_url);
cx.spawn(|this, mut cx| async move {
delete_credentials.await.log_err();
this.update(&mut cx, |this, cx| {
this.api_key = None;
this.api_key_from_env = false;
cx.notify();
})
})
}
fn set_api_key(&mut self, api_key: String, cx: &mut Context<Self>) -> Task<Result<()>> {
let settings = &AllLanguageModelSettings::get_global(cx).deepseek;
let write_credentials =
cx.write_credentials(&settings.api_url, "Bearer", api_key.as_bytes());
cx.spawn(|this, mut cx| async move {
write_credentials.await?;
this.update(&mut cx, |this, cx| {
this.api_key = Some(api_key);
cx.notify();
})
})
}
fn authenticate(&self, cx: &mut Context<Self>) -> Task<Result<()>> {
if self.is_authenticated() {
Task::ready(Ok(()))
} else {
let api_url = AllLanguageModelSettings::get_global(cx)
.deepseek
.api_url
.clone();
cx.spawn(|this, mut cx| async move {
let (api_key, from_env) = if let Ok(api_key) = std::env::var(DEEPSEEK_API_KEY_VAR) {
(api_key, true)
} 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)?, false)
};
this.update(&mut cx, |this, cx| {
this.api_key = Some(api_key);
this.api_key_from_env = from_env;
cx.notify();
})
})
}
}
}
impl DeepSeekLanguageModelProvider {
pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
let state = cx.new(|cx| State {
api_key: None,
api_key_from_env: false,
_subscription: cx.observe_global::<SettingsStore>(|_this: &mut State, cx| {
cx.notify();
}),
});
Self { http_client, state }
}
}
impl LanguageModelProviderState for DeepSeekLanguageModelProvider {
type ObservableEntity = State;
fn observable_entity(&self) -> Option<Entity<Self::ObservableEntity>> {
Some(self.state.clone())
}
}
impl LanguageModelProvider for DeepSeekLanguageModelProvider {
fn id(&self) -> LanguageModelProviderId {
LanguageModelProviderId(PROVIDER_ID.into())
}
fn name(&self) -> LanguageModelProviderName {
LanguageModelProviderName(PROVIDER_NAME.into())
}
fn icon(&self) -> IconName {
IconName::AiDeepSeek
}
fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
let mut models = BTreeMap::default();
models.insert("deepseek-chat", deepseek::Model::Chat);
models.insert("deepseek-reasoner", deepseek::Model::Reasoner);
for available_model in AllLanguageModelSettings::get_global(cx)
.deepseek
.available_models
.iter()
{
models.insert(
&available_model.name,
deepseek::Model::Custom {
name: available_model.name.clone(),
display_name: available_model.display_name.clone(),
max_tokens: available_model.max_tokens,
max_output_tokens: available_model.max_output_tokens,
},
);
}
models
.into_values()
.map(|model| {
Arc::new(DeepSeekLanguageModel {
id: LanguageModelId::from(model.id().to_string()),
model,
state: self.state.clone(),
http_client: self.http_client.clone(),
request_limiter: RateLimiter::new(4),
}) as Arc<dyn LanguageModel>
})
.collect()
}
fn is_authenticated(&self, cx: &App) -> bool {
self.state.read(cx).is_authenticated()
}
fn authenticate(&self, cx: &mut App) -> Task<Result<()>> {
self.state.update(cx, |state, cx| state.authenticate(cx))
}
fn configuration_view(&self, window: &mut Window, cx: &mut App) -> AnyView {
cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
.into()
}
fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
self.state.update(cx, |state, cx| state.reset_api_key(cx))
}
}
pub struct DeepSeekLanguageModel {
id: LanguageModelId,
model: deepseek::Model,
state: Entity<State>,
http_client: Arc<dyn HttpClient>,
request_limiter: RateLimiter,
}
impl DeepSeekLanguageModel {
fn stream_completion(
&self,
request: deepseek::Request,
cx: &AsyncApp,
) -> BoxFuture<'static, Result<BoxStream<'static, Result<deepseek::StreamResponse>>>> {
let http_client = self.http_client.clone();
let Ok((api_key, api_url)) = cx.read_entity(&self.state, |state, cx| {
let settings = &AllLanguageModelSettings::get_global(cx).deepseek;
(state.api_key.clone(), settings.api_url.clone())
}) else {
return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
};
let future = self.request_limiter.stream(async move {
let api_key = api_key.ok_or_else(|| anyhow!("Missing DeepSeek API Key"))?;
let request =
deepseek::stream_completion(http_client.as_ref(), &api_url, &api_key, request);
let response = request.await?;
Ok(response)
});
async move { Ok(future.await?.boxed()) }.boxed()
}
}
impl LanguageModel for DeepSeekLanguageModel {
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!("deepseek/{}", self.model.id())
}
fn max_token_count(&self) -> usize {
self.model.max_token_count()
}
fn max_output_tokens(&self) -> Option<u32> {
self.model.max_output_tokens()
}
fn count_tokens(
&self,
request: LanguageModelRequest,
cx: &App,
) -> 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.string_contents()),
name: None,
function_call: None,
})
.collect::<Vec<_>>();
tiktoken_rs::num_tokens_from_messages("gpt-4", &messages)
})
.boxed()
}
fn stream_completion(
&self,
request: LanguageModelRequest,
cx: &AsyncApp,
) -> BoxFuture<'static, Result<BoxStream<'static, Result<LanguageModelCompletionEvent>>>> {
let request = request.into_deepseek(self.model.id().to_string(), self.max_output_tokens());
let stream = self.stream_completion(request, cx);
async move {
let stream = stream.await?;
Ok(stream
.map(|result| {
result.and_then(|response| {
response
.choices
.first()
.ok_or_else(|| anyhow!("Empty response"))
.map(|choice| {
choice
.delta
.content
.clone()
.unwrap_or_default()
.map(LanguageModelCompletionEvent::Text)
})
})
})
.boxed())
}
.boxed()
}
fn use_any_tool(
&self,
request: LanguageModelRequest,
name: String,
description: String,
schema: serde_json::Value,
cx: &AsyncApp,
) -> BoxFuture<'static, Result<futures::stream::BoxStream<'static, Result<String>>>> {
let mut deepseek_request =
request.into_deepseek(self.model.id().to_string(), self.max_output_tokens());
deepseek_request.tools = vec![deepseek::ToolDefinition::Function {
function: deepseek::FunctionDefinition {
name: name.clone(),
description: Some(description),
parameters: Some(schema),
},
}];
let response_stream = self.stream_completion(deepseek_request, cx);
self.request_limiter
.run(async move {
let stream = response_stream.await?;
let tool_args_stream = stream
.filter_map(move |response| async move {
match response {
Ok(response) => {
for choice in response.choices {
if let Some(tool_calls) = choice.delta.tool_calls {
for tool_call in tool_calls {
if let Some(function) = tool_call.function {
if let Some(args) = function.arguments {
return Some(Ok(args));
}
}
}
}
}
None
}
Err(e) => Some(Err(e)),
}
})
.boxed();
Ok(tool_args_stream)
})
.boxed()
}
}
struct ConfigurationView {
api_key_editor: Entity<Editor>,
state: Entity<State>,
load_credentials_task: Option<Task<()>>,
}
impl ConfigurationView {
fn new(state: Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
let api_key_editor = cx.new(|cx| {
let mut editor = Editor::single_line(window, cx);
editor.set_placeholder_text("sk-00000000000000000000000000000000", cx);
editor
});
cx.observe(&state, |_, _, cx| {
cx.notify();
})
.detach();
let load_credentials_task = Some(cx.spawn({
let state = state.clone();
|this, mut cx| async move {
if let Some(task) = state
.update(&mut cx, |state, cx| state.authenticate(cx))
.log_err()
{
let _ = task.await;
}
this.update(&mut cx, |this, cx| {
this.load_credentials_task = None;
cx.notify();
})
.log_err();
}
}));
Self {
api_key_editor,
state,
load_credentials_task,
}
}
fn save_api_key(&mut self, _: &menu::Confirm, _window: &mut Window, cx: &mut Context<Self>) {
let api_key = self.api_key_editor.read(cx).text(cx);
if api_key.is_empty() {
return;
}
let state = self.state.clone();
cx.spawn(|_, mut cx| async move {
state
.update(&mut cx, |state, cx| state.set_api_key(api_key, cx))?
.await
})
.detach_and_log_err(cx);
cx.notify();
}
fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
self.api_key_editor
.update(cx, |editor, cx| editor.set_text("", window, cx));
let state = self.state.clone();
cx.spawn(|_, mut cx| async move {
state
.update(&mut cx, |state, cx| state.reset_api_key(cx))?
.await
})
.detach_and_log_err(cx);
cx.notify();
}
fn render_api_key_editor(&self, cx: &mut Context<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,
truncate: None,
};
EditorElement::new(
&self.api_key_editor,
EditorStyle {
background: cx.theme().colors().editor_background,
local_player: cx.theme().players().local(),
text: text_style,
..Default::default()
},
)
}
fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
!self.state.read(cx).is_authenticated()
}
}
impl Render for ConfigurationView {
fn render(&mut self, _window: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
const DEEPSEEK_CONSOLE_URL: &str = "https://platform.deepseek.com/api_keys";
const INSTRUCTIONS: [&str; 3] = [
"To use DeepSeek in Zed, you need an API key:",
"- Get your API key from:",
"- Paste it below and press enter:",
];
let env_var_set = self.state.read(cx).api_key_from_env;
if self.load_credentials_task.is_some() {
div().child(Label::new("Loading credentials...")).into_any()
} else if self.should_render_editor(cx) {
v_flex()
.size_full()
.on_action(cx.listener(Self::save_api_key))
.child(Label::new(INSTRUCTIONS[0]))
.child(
h_flex().child(Label::new(INSTRUCTIONS[1])).child(
Button::new("deepseek_console", DEEPSEEK_CONSOLE_URL)
.style(ButtonStyle::Subtle)
.icon(IconName::ExternalLink)
.icon_size(IconSize::XSmall)
.icon_color(Color::Muted)
.on_click(move |_, _window, cx| cx.open_url(DEEPSEEK_CONSOLE_URL)),
),
)
.child(Label::new(INSTRUCTIONS[2]))
.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(format!(
"Or set {} environment variable",
DEEPSEEK_API_KEY_VAR
))
.size(LabelSize::Small),
)
.into_any()
} else {
h_flex()
.size_full()
.justify_between()
.child(
h_flex()
.gap_1()
.child(Icon::new(IconName::Check).color(Color::Success))
.child(Label::new(if env_var_set {
format!("API key set in {}", DEEPSEEK_API_KEY_VAR)
} else {
"API key configured".to_string()
})),
)
.child(
Button::new("reset-key", "Reset")
.icon(IconName::Trash)
.disabled(env_var_set)
.on_click(
cx.listener(|this, _, window, cx| this.reset_api_key(window, cx)),
),
)
.into_any()
}
}
}

View file

@ -13,6 +13,7 @@ use crate::provider::{
anthropic::AnthropicSettings,
cloud::{self, ZedDotDevSettings},
copilot_chat::CopilotChatSettings,
deepseek::DeepSeekSettings,
google::GoogleSettings,
lmstudio::LmStudioSettings,
ollama::OllamaSettings,
@ -61,6 +62,7 @@ pub struct AllLanguageModelSettings {
pub google: GoogleSettings,
pub copilot_chat: CopilotChatSettings,
pub lmstudio: LmStudioSettings,
pub deepseek: DeepSeekSettings,
}
#[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
@ -72,6 +74,7 @@ pub struct AllLanguageModelSettingsContent {
#[serde(rename = "zed.dev")]
pub zed_dot_dev: Option<ZedDotDevSettingsContent>,
pub google: Option<GoogleSettingsContent>,
pub deepseek: Option<DeepseekSettingsContent>,
pub copilot_chat: Option<CopilotChatSettingsContent>,
}
@ -162,6 +165,12 @@ pub struct LmStudioSettingsContent {
pub available_models: Option<Vec<provider::lmstudio::AvailableModel>>,
}
#[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
pub struct DeepseekSettingsContent {
pub api_url: Option<String>,
pub available_models: Option<Vec<provider::deepseek::AvailableModel>>,
}
#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
#[serde(untagged)]
pub enum OpenAiSettingsContent {
@ -299,6 +308,18 @@ impl settings::Settings for AllLanguageModelSettings {
lmstudio.as_ref().and_then(|s| s.available_models.clone()),
);
// DeepSeek
let deepseek = value.deepseek.clone();
merge(
&mut settings.deepseek.api_url,
value.deepseek.as_ref().and_then(|s| s.api_url.clone()),
);
merge(
&mut settings.deepseek.available_models,
deepseek.as_ref().and_then(|s| s.available_models.clone()),
);
// OpenAI
let (openai, upgraded) = match value.openai.clone().map(|s| s.upgrade()) {
Some((content, upgraded)) => (Some(content), upgraded),

View file

@ -128,6 +128,7 @@ pub enum IconName {
Ai,
AiAnthropic,
AiAnthropicHosted,
AiDeepSeek,
AiGoogle,
AiLmStudio,
AiOllama,