zed/crates/language_models/src/provider/x_ai.rs
Jowell Young 92a09ecf25
x_ai: Add support for tools and images with custom models (#38792)
After the change, we can add "supports_images", "supports_tools" and
"parallel_tool_calls" properties to set up new models. Our
`settings.json` will be as follows:
```json
  "language_models": {
     "x_ai": {
       "api_url": "https://api.x.ai/v1",
       "available_models": [
         {
           "name": "grok-4-fast-reasoning",
           "display_name": "Grok 4 Fast Reasoning",
           "max_tokens": 2000000,
           "max_output_tokens": 64000,
           "supports_tools": true,
           "parallel_tool_calls": true,
         },
         {
           "name": "grok-4-fast-non-reasoning",
           "display_name": "Grok 4 Fast Non-Reasoning",
           "max_tokens": 2000000,
           "max_output_tokens": 64000,
           "supports_images": true,
         }
       ]
     }
   }

```

Closes https://github.com/zed-industries/zed/issues/38752

Release Notes:

- xAI: Added support for for configuring tool and image support for
custom model configurations
2025-09-29 11:38:55 +00:00

523 lines
17 KiB
Rust

use anyhow::{Result, anyhow};
use collections::BTreeMap;
use futures::{FutureExt, StreamExt, future, future::BoxFuture};
use gpui::{AnyView, App, AsyncApp, Context, Entity, Task, Window};
use http_client::HttpClient;
use language_model::{
AuthenticateError, LanguageModel, LanguageModelCompletionError, LanguageModelCompletionEvent,
LanguageModelId, LanguageModelName, LanguageModelProvider, LanguageModelProviderId,
LanguageModelProviderName, LanguageModelProviderState, LanguageModelRequest,
LanguageModelToolChoice, LanguageModelToolSchemaFormat, RateLimiter, Role,
};
use open_ai::ResponseStreamEvent;
pub use settings::XaiAvailableModel as AvailableModel;
use settings::{Settings, SettingsStore};
use std::sync::{Arc, LazyLock};
use strum::IntoEnumIterator;
use ui::{ElevationIndex, List, Tooltip, prelude::*};
use ui_input::SingleLineInput;
use util::{ResultExt, truncate_and_trailoff};
use x_ai::{Model, XAI_API_URL};
use zed_env_vars::{EnvVar, env_var};
use crate::{api_key::ApiKeyState, ui::InstructionListItem};
const PROVIDER_ID: LanguageModelProviderId = LanguageModelProviderId::new("x_ai");
const PROVIDER_NAME: LanguageModelProviderName = LanguageModelProviderName::new("xAI");
const API_KEY_ENV_VAR_NAME: &str = "XAI_API_KEY";
static API_KEY_ENV_VAR: LazyLock<EnvVar> = env_var!(API_KEY_ENV_VAR_NAME);
#[derive(Default, Clone, Debug, PartialEq)]
pub struct XAiSettings {
pub api_url: String,
pub available_models: Vec<AvailableModel>,
}
pub struct XAiLanguageModelProvider {
http_client: Arc<dyn HttpClient>,
state: Entity<State>,
}
pub struct State {
api_key_state: ApiKeyState,
}
impl State {
fn is_authenticated(&self) -> bool {
self.api_key_state.has_key()
}
fn set_api_key(&mut self, api_key: Option<String>, cx: &mut Context<Self>) -> Task<Result<()>> {
let api_url = XAiLanguageModelProvider::api_url(cx);
self.api_key_state
.store(api_url, api_key, |this| &mut this.api_key_state, cx)
}
fn authenticate(&mut self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
let api_url = XAiLanguageModelProvider::api_url(cx);
self.api_key_state.load_if_needed(
api_url,
&API_KEY_ENV_VAR,
|this| &mut this.api_key_state,
cx,
)
}
}
impl XAiLanguageModelProvider {
pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
let state = cx.new(|cx| {
cx.observe_global::<SettingsStore>(|this: &mut State, cx| {
let api_url = Self::api_url(cx);
this.api_key_state.handle_url_change(
api_url,
&API_KEY_ENV_VAR,
|this| &mut this.api_key_state,
cx,
);
cx.notify();
})
.detach();
State {
api_key_state: ApiKeyState::new(Self::api_url(cx)),
}
});
Self { http_client, state }
}
fn create_language_model(&self, model: x_ai::Model) -> Arc<dyn LanguageModel> {
Arc::new(XAiLanguageModel {
id: LanguageModelId::from(model.id().to_string()),
model,
state: self.state.clone(),
http_client: self.http_client.clone(),
request_limiter: RateLimiter::new(4),
})
}
fn settings(cx: &App) -> &XAiSettings {
&crate::AllLanguageModelSettings::get_global(cx).x_ai
}
fn api_url(cx: &App) -> SharedString {
let api_url = &Self::settings(cx).api_url;
if api_url.is_empty() {
XAI_API_URL.into()
} else {
SharedString::new(api_url.as_str())
}
}
}
impl LanguageModelProviderState for XAiLanguageModelProvider {
type ObservableEntity = State;
fn observable_entity(&self) -> Option<Entity<Self::ObservableEntity>> {
Some(self.state.clone())
}
}
impl LanguageModelProvider for XAiLanguageModelProvider {
fn id(&self) -> LanguageModelProviderId {
PROVIDER_ID
}
fn name(&self) -> LanguageModelProviderName {
PROVIDER_NAME
}
fn icon(&self) -> IconName {
IconName::AiXAi
}
fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
Some(self.create_language_model(x_ai::Model::default()))
}
fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
Some(self.create_language_model(x_ai::Model::default_fast()))
}
fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
let mut models = BTreeMap::default();
for model in x_ai::Model::iter() {
if !matches!(model, x_ai::Model::Custom { .. }) {
models.insert(model.id().to_string(), model);
}
}
for model in &Self::settings(cx).available_models {
models.insert(
model.name.clone(),
x_ai::Model::Custom {
name: model.name.clone(),
display_name: model.display_name.clone(),
max_tokens: model.max_tokens,
max_output_tokens: model.max_output_tokens,
max_completion_tokens: model.max_completion_tokens,
supports_images: model.supports_images,
supports_tools: model.supports_tools,
parallel_tool_calls: model.parallel_tool_calls,
},
);
}
models
.into_values()
.map(|model| self.create_language_model(model))
.collect()
}
fn is_authenticated(&self, cx: &App) -> bool {
self.state.read(cx).is_authenticated()
}
fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
self.state.update(cx, |state, cx| state.authenticate(cx))
}
fn configuration_view(
&self,
_target_agent: language_model::ConfigurationViewTargetAgent,
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.set_api_key(None, cx))
}
}
pub struct XAiLanguageModel {
id: LanguageModelId,
model: x_ai::Model,
state: Entity<State>,
http_client: Arc<dyn HttpClient>,
request_limiter: RateLimiter,
}
impl XAiLanguageModel {
fn stream_completion(
&self,
request: open_ai::Request,
cx: &AsyncApp,
) -> BoxFuture<'static, Result<futures::stream::BoxStream<'static, Result<ResponseStreamEvent>>>>
{
let http_client = self.http_client.clone();
let Ok((api_key, api_url)) = self.state.read_with(cx, |state, cx| {
let api_url = XAiLanguageModelProvider::api_url(cx);
(state.api_key_state.key(&api_url), api_url)
}) else {
return future::ready(Err(anyhow!("App state dropped"))).boxed();
};
let future = self.request_limiter.stream(async move {
let Some(api_key) = api_key else {
return Err(LanguageModelCompletionError::NoApiKey {
provider: PROVIDER_NAME,
});
};
let request =
open_ai::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 XAiLanguageModel {
fn id(&self) -> LanguageModelId {
self.id.clone()
}
fn name(&self) -> LanguageModelName {
LanguageModelName::from(self.model.display_name().to_string())
}
fn provider_id(&self) -> LanguageModelProviderId {
PROVIDER_ID
}
fn provider_name(&self) -> LanguageModelProviderName {
PROVIDER_NAME
}
fn supports_tools(&self) -> bool {
self.model.supports_tool()
}
fn supports_images(&self) -> bool {
self.model.supports_images()
}
fn supports_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {
match choice {
LanguageModelToolChoice::Auto
| LanguageModelToolChoice::Any
| LanguageModelToolChoice::None => true,
}
}
fn tool_input_format(&self) -> LanguageModelToolSchemaFormat {
let model_id = self.model.id().trim().to_lowercase();
if model_id.eq(x_ai::Model::Grok4.id()) || model_id.eq(x_ai::Model::GrokCodeFast1.id()) {
LanguageModelToolSchemaFormat::JsonSchemaSubset
} else {
LanguageModelToolSchemaFormat::JsonSchema
}
}
fn telemetry_id(&self) -> String {
format!("x_ai/{}", self.model.id())
}
fn max_token_count(&self) -> u64 {
self.model.max_token_count()
}
fn max_output_tokens(&self) -> Option<u64> {
self.model.max_output_tokens()
}
fn count_tokens(
&self,
request: LanguageModelRequest,
cx: &App,
) -> BoxFuture<'static, Result<u64>> {
count_xai_tokens(request, self.model.clone(), cx)
}
fn stream_completion(
&self,
request: LanguageModelRequest,
cx: &AsyncApp,
) -> BoxFuture<
'static,
Result<
futures::stream::BoxStream<
'static,
Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,
>,
LanguageModelCompletionError,
>,
> {
let request = crate::provider::open_ai::into_open_ai(
request,
self.model.id(),
self.model.supports_parallel_tool_calls(),
self.model.supports_prompt_cache_key(),
self.max_output_tokens(),
None,
);
let completions = self.stream_completion(request, cx);
async move {
let mapper = crate::provider::open_ai::OpenAiEventMapper::new();
Ok(mapper.map_stream(completions.await?).boxed())
}
.boxed()
}
}
pub fn count_xai_tokens(
request: LanguageModelRequest,
model: Model,
cx: &App,
) -> BoxFuture<'static, Result<u64>> {
cx.background_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<_>>();
let model_name = if model.max_token_count() >= 100_000 {
"gpt-4o"
} else {
"gpt-4"
};
tiktoken_rs::num_tokens_from_messages(model_name, &messages).map(|tokens| tokens as u64)
})
.boxed()
}
struct ConfigurationView {
api_key_editor: Entity<SingleLineInput>,
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| {
SingleLineInput::new(
window,
cx,
"xai-0000000000000000000000000000000000000000000000000",
)
.label("API key")
});
cx.observe(&state, |_, _, cx| {
cx.notify();
})
.detach();
let load_credentials_task = Some(cx.spawn_in(window, {
let state = state.clone();
async move |this, cx| {
if let Some(task) = state
.update(cx, |state, cx| state.authenticate(cx))
.log_err()
{
// We don't log an error, because "not signed in" is also an error.
let _ = task.await;
}
this.update(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).trim().to_string();
if api_key.is_empty() {
return;
}
// url changes can cause the editor to be displayed again
self.api_key_editor
.update(cx, |editor, cx| editor.set_text("", window, cx));
let state = self.state.clone();
cx.spawn_in(window, async move |_, cx| {
state
.update(cx, |state, cx| state.set_api_key(Some(api_key), cx))?
.await
})
.detach_and_log_err(cx);
}
fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
self.api_key_editor
.update(cx, |input, cx| input.set_text("", window, cx));
let state = self.state.clone();
cx.spawn_in(window, async move |_, cx| {
state
.update(cx, |state, cx| state.set_api_key(None, cx))?
.await
})
.detach_and_log_err(cx);
}
fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
!self.state.read(cx).is_authenticated()
}
}
impl Render for ConfigurationView {
fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
let env_var_set = self.state.read(cx).api_key_state.is_from_env_var();
let api_key_section = if self.should_render_editor(cx) {
v_flex()
.on_action(cx.listener(Self::save_api_key))
.child(Label::new("To use Zed's agent with xAI, you need to add an API key. Follow these steps:"))
.child(
List::new()
.child(InstructionListItem::new(
"Create one by visiting",
Some("xAI console"),
Some("https://console.x.ai/team/default/api-keys"),
))
.child(InstructionListItem::text_only(
"Paste your API key below and hit enter to start using the agent",
)),
)
.child(self.api_key_editor.clone())
.child(
Label::new(format!(
"You can also assign the {API_KEY_ENV_VAR_NAME} environment variable and restart Zed."
))
.size(LabelSize::Small)
.color(Color::Muted),
)
.child(
Label::new("Note that xAI is a custom OpenAI-compatible provider.")
.size(LabelSize::Small)
.color(Color::Muted),
)
.into_any()
} else {
h_flex()
.mt_1()
.p_1()
.justify_between()
.rounded_md()
.border_1()
.border_color(cx.theme().colors().border)
.bg(cx.theme().colors().background)
.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 {API_KEY_ENV_VAR_NAME} environment variable")
} else {
let api_url = XAiLanguageModelProvider::api_url(cx);
if api_url == XAI_API_URL {
"API key configured".to_string()
} else {
format!("API key configured for {}", truncate_and_trailoff(&api_url, 32))
}
})),
)
.child(
Button::new("reset-api-key", "Reset API Key")
.label_size(LabelSize::Small)
.icon(IconName::Undo)
.icon_size(IconSize::Small)
.icon_position(IconPosition::Start)
.layer(ElevationIndex::ModalSurface)
.when(env_var_set, |this| {
this.tooltip(Tooltip::text(format!("To reset your API key, unset the {API_KEY_ENV_VAR_NAME} environment variable.")))
})
.on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
)
.into_any()
};
if self.load_credentials_task.is_some() {
div().child(Label::new("Loading credentials…")).into_any()
} else {
v_flex().size_full().child(api_key_section).into_any()
}
}
}