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4aa3cd07c3
Reland the new scheduler Release Notes: - N/A --------- Co-authored-by: Antonio Scandurra <me@as-cii.com> Co-authored-by: Zed Zippy <234243425+zed-zippy[bot]@users.noreply.github.com>
966 lines
35 KiB
Rust
966 lines
35 KiB
Rust
use anyhow::{Result, anyhow};
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use collections::BTreeMap;
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use futures::{FutureExt, Stream, StreamExt, future::BoxFuture, stream::BoxStream};
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use gpui::{AnyView, App, AsyncApp, Context, Entity, Global, SharedString, Task, Window};
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use http_client::HttpClient;
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use language_model::{
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ApiKeyState, AuthenticateError, EnvVar, IconOrSvg, LanguageModel, LanguageModelCompletionError,
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LanguageModelCompletionEvent, LanguageModelId, LanguageModelName, LanguageModelProvider,
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LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,
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LanguageModelRequest, LanguageModelToolChoice, LanguageModelToolResultContent,
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LanguageModelToolUse, MessageContent, RateLimiter, Role, StopReason, TokenUsage, env_var,
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};
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pub use mistral::{CODESTRAL_API_URL, MISTRAL_API_URL, StreamResponse};
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pub use settings::MistralAvailableModel as AvailableModel;
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use settings::{Settings, SettingsStore};
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use std::collections::HashMap;
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use std::pin::Pin;
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use std::str::FromStr;
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use std::sync::{Arc, LazyLock};
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use strum::IntoEnumIterator;
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use ui::{ButtonLink, ConfiguredApiCard, List, ListBulletItem, prelude::*};
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use ui_input::InputField;
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use util::ResultExt;
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const PROVIDER_ID: LanguageModelProviderId = LanguageModelProviderId::new("mistral");
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const PROVIDER_NAME: LanguageModelProviderName = LanguageModelProviderName::new("Mistral");
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const API_KEY_ENV_VAR_NAME: &str = "MISTRAL_API_KEY";
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static API_KEY_ENV_VAR: LazyLock<EnvVar> = env_var!(API_KEY_ENV_VAR_NAME);
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const CODESTRAL_API_KEY_ENV_VAR_NAME: &str = "CODESTRAL_API_KEY";
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static CODESTRAL_API_KEY_ENV_VAR: LazyLock<EnvVar> = env_var!(CODESTRAL_API_KEY_ENV_VAR_NAME);
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#[derive(Default, Clone, Debug, PartialEq)]
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pub struct MistralSettings {
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pub api_url: String,
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pub available_models: Vec<AvailableModel>,
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}
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pub struct MistralLanguageModelProvider {
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http_client: Arc<dyn HttpClient>,
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pub state: Entity<State>,
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}
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pub struct State {
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api_key_state: ApiKeyState,
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codestral_api_key_state: Entity<ApiKeyState>,
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}
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pub fn codestral_api_key(cx: &mut App) -> Entity<ApiKeyState> {
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// IMPORTANT:
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// Do not store `Entity<T>` handles in process-wide statics (e.g. `OnceLock`).
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//
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// `Entity<T>` is tied to a particular `App`/entity-map context. Caching it globally can
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// cause panics like "used a entity with the wrong context" when tests (or multiple apps)
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// create distinct `App` instances in the same process.
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//
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// If we want a per-process singleton, store plain data (e.g. env var names) and create
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// the entity per-App instead.
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cx.new(|_| ApiKeyState::new(CODESTRAL_API_URL.into(), CODESTRAL_API_KEY_ENV_VAR.clone()))
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}
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impl State {
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fn is_authenticated(&self) -> bool {
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self.api_key_state.has_key()
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}
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fn set_api_key(&mut self, api_key: Option<String>, cx: &mut Context<Self>) -> Task<Result<()>> {
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let api_url = MistralLanguageModelProvider::api_url(cx);
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self.api_key_state
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.store(api_url, api_key, |this| &mut this.api_key_state, cx)
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}
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fn authenticate(&mut self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
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let api_url = MistralLanguageModelProvider::api_url(cx);
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self.api_key_state
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.load_if_needed(api_url, |this| &mut this.api_key_state, cx)
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}
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fn authenticate_codestral(
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&mut self,
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cx: &mut Context<Self>,
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) -> Task<Result<(), AuthenticateError>> {
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self.codestral_api_key_state.update(cx, |state, cx| {
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state.load_if_needed(CODESTRAL_API_URL.into(), |state| state, cx)
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})
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}
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}
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struct GlobalMistralLanguageModelProvider(Arc<MistralLanguageModelProvider>);
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impl Global for GlobalMistralLanguageModelProvider {}
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impl MistralLanguageModelProvider {
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pub fn try_global(cx: &App) -> Option<&Arc<MistralLanguageModelProvider>> {
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cx.try_global::<GlobalMistralLanguageModelProvider>()
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.map(|this| &this.0)
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}
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pub fn global(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Arc<Self> {
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if let Some(this) = cx.try_global::<GlobalMistralLanguageModelProvider>() {
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return this.0.clone();
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}
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let state = cx.new(|cx| {
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cx.observe_global::<SettingsStore>(|this: &mut State, cx| {
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let api_url = Self::api_url(cx);
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this.api_key_state
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.handle_url_change(api_url, |this| &mut this.api_key_state, cx);
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cx.notify();
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})
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.detach();
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State {
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api_key_state: ApiKeyState::new(Self::api_url(cx), (*API_KEY_ENV_VAR).clone()),
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codestral_api_key_state: codestral_api_key(cx),
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}
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});
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let this = Arc::new(Self { http_client, state });
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cx.set_global(GlobalMistralLanguageModelProvider(this));
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cx.global::<GlobalMistralLanguageModelProvider>().0.clone()
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}
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pub fn load_codestral_api_key(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
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self.state
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.update(cx, |state, cx| state.authenticate_codestral(cx))
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}
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pub fn codestral_api_key(&self, url: &str, cx: &App) -> Option<Arc<str>> {
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self.state
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.read(cx)
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.codestral_api_key_state
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.read(cx)
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.key(url)
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}
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fn create_language_model(&self, model: mistral::Model) -> Arc<dyn LanguageModel> {
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Arc::new(MistralLanguageModel {
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id: LanguageModelId::from(model.id().to_string()),
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model,
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state: self.state.clone(),
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http_client: self.http_client.clone(),
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request_limiter: RateLimiter::new(4),
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})
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}
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fn settings(cx: &App) -> &MistralSettings {
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&crate::AllLanguageModelSettings::get_global(cx).mistral
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}
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pub fn api_url(cx: &App) -> SharedString {
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let api_url = &Self::settings(cx).api_url;
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if api_url.is_empty() {
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mistral::MISTRAL_API_URL.into()
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} else {
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SharedString::new(api_url.as_str())
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}
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}
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}
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impl LanguageModelProviderState for MistralLanguageModelProvider {
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type ObservableEntity = State;
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fn observable_entity(&self) -> Option<Entity<Self::ObservableEntity>> {
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Some(self.state.clone())
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}
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}
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impl LanguageModelProvider for MistralLanguageModelProvider {
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fn id(&self) -> LanguageModelProviderId {
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PROVIDER_ID
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}
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fn name(&self) -> LanguageModelProviderName {
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PROVIDER_NAME
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}
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fn icon(&self) -> IconOrSvg {
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IconOrSvg::Icon(IconName::AiMistral)
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}
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fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
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Some(self.create_language_model(mistral::Model::default()))
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}
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fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
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Some(self.create_language_model(mistral::Model::default_fast()))
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}
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fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
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let mut models = BTreeMap::default();
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// Add base models from mistral::Model::iter()
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for model in mistral::Model::iter() {
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if !matches!(model, mistral::Model::Custom { .. }) {
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models.insert(model.id().to_string(), model);
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}
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}
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// Override with available models from settings
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for model in &Self::settings(cx).available_models {
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models.insert(
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model.name.clone(),
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mistral::Model::Custom {
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name: model.name.clone(),
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display_name: model.display_name.clone(),
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max_tokens: model.max_tokens,
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max_output_tokens: model.max_output_tokens,
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max_completion_tokens: model.max_completion_tokens,
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supports_tools: model.supports_tools,
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supports_images: model.supports_images,
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supports_thinking: model.supports_thinking,
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},
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);
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}
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models
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.into_values()
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.map(|model| {
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Arc::new(MistralLanguageModel {
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id: LanguageModelId::from(model.id().to_string()),
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model,
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state: self.state.clone(),
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http_client: self.http_client.clone(),
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request_limiter: RateLimiter::new(4),
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}) as Arc<dyn LanguageModel>
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})
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.collect()
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}
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fn is_authenticated(&self, cx: &App) -> bool {
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self.state.read(cx).is_authenticated()
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}
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fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
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self.state.update(cx, |state, cx| state.authenticate(cx))
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}
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fn configuration_view(
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&self,
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_target_agent: language_model::ConfigurationViewTargetAgent,
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window: &mut Window,
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cx: &mut App,
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) -> AnyView {
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cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
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.into()
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}
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fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
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self.state
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.update(cx, |state, cx| state.set_api_key(None, cx))
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}
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}
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pub struct MistralLanguageModel {
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id: LanguageModelId,
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model: mistral::Model,
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state: Entity<State>,
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http_client: Arc<dyn HttpClient>,
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request_limiter: RateLimiter,
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}
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impl MistralLanguageModel {
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fn stream_completion(
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&self,
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request: mistral::Request,
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cx: &AsyncApp,
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) -> BoxFuture<
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'static,
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Result<futures::stream::BoxStream<'static, Result<mistral::StreamResponse>>>,
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> {
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let http_client = self.http_client.clone();
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let (api_key, api_url) = self.state.read_with(cx, |state, cx| {
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let api_url = MistralLanguageModelProvider::api_url(cx);
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(state.api_key_state.key(&api_url), api_url)
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});
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let future = self.request_limiter.stream(async move {
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let Some(api_key) = api_key else {
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return Err(LanguageModelCompletionError::NoApiKey {
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provider: PROVIDER_NAME,
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});
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};
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let request =
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mistral::stream_completion(http_client.as_ref(), &api_url, &api_key, request);
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let response = request.await?;
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Ok(response)
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});
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async move { Ok(future.await?.boxed()) }.boxed()
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}
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}
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impl LanguageModel for MistralLanguageModel {
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fn id(&self) -> LanguageModelId {
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self.id.clone()
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}
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fn name(&self) -> LanguageModelName {
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LanguageModelName::from(self.model.display_name().to_string())
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}
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fn provider_id(&self) -> LanguageModelProviderId {
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PROVIDER_ID
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}
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fn provider_name(&self) -> LanguageModelProviderName {
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PROVIDER_NAME
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}
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fn supports_tools(&self) -> bool {
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self.model.supports_tools()
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}
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fn supports_tool_choice(&self, _choice: LanguageModelToolChoice) -> bool {
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self.model.supports_tools()
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}
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fn supports_images(&self) -> bool {
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self.model.supports_images()
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}
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fn telemetry_id(&self) -> String {
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format!("mistral/{}", self.model.id())
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}
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fn max_token_count(&self) -> u64 {
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self.model.max_token_count()
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}
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fn max_output_tokens(&self) -> Option<u64> {
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self.model.max_output_tokens()
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}
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fn count_tokens(
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&self,
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request: LanguageModelRequest,
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cx: &App,
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) -> BoxFuture<'static, Result<u64>> {
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cx.background_spawn(async move {
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let messages = request
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.messages
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.into_iter()
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.map(|message| tiktoken_rs::ChatCompletionRequestMessage {
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role: match message.role {
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Role::User => "user".into(),
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Role::Assistant => "assistant".into(),
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Role::System => "system".into(),
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},
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content: Some(message.string_contents()),
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name: None,
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function_call: None,
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})
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.collect::<Vec<_>>();
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tiktoken_rs::num_tokens_from_messages("gpt-4", &messages).map(|tokens| tokens as u64)
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})
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.boxed()
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}
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fn stream_completion(
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&self,
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request: LanguageModelRequest,
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cx: &AsyncApp,
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) -> BoxFuture<
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'static,
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Result<
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BoxStream<'static, Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>,
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LanguageModelCompletionError,
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>,
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> {
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let request = into_mistral(request, self.model.clone(), self.max_output_tokens());
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let stream = self.stream_completion(request, cx);
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async move {
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let stream = stream.await?;
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let mapper = MistralEventMapper::new();
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Ok(mapper.map_stream(stream).boxed())
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}
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.boxed()
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}
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}
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pub fn into_mistral(
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request: LanguageModelRequest,
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model: mistral::Model,
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max_output_tokens: Option<u64>,
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) -> mistral::Request {
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let stream = true;
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let mut messages = Vec::new();
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for message in &request.messages {
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match message.role {
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Role::User => {
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let mut message_content = mistral::MessageContent::empty();
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for content in &message.content {
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match content {
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MessageContent::Text(text) => {
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message_content
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.push_part(mistral::MessagePart::Text { text: text.clone() });
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}
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MessageContent::Image(image_content) => {
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if model.supports_images() {
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message_content.push_part(mistral::MessagePart::ImageUrl {
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image_url: image_content.to_base64_url(),
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});
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}
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}
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MessageContent::Thinking { text, .. } => {
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if model.supports_thinking() {
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message_content.push_part(mistral::MessagePart::Thinking {
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thinking: vec![mistral::ThinkingPart::Text {
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text: text.clone(),
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}],
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});
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}
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}
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MessageContent::RedactedThinking(_) => {}
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MessageContent::ToolUse(_) => {
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// Tool use is not supported in User messages for Mistral
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}
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MessageContent::ToolResult(tool_result) => {
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let tool_content = match &tool_result.content {
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LanguageModelToolResultContent::Text(text) => text.to_string(),
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LanguageModelToolResultContent::Image(_) => {
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"[Tool responded with an image, but Zed doesn't support these in Mistral models yet]".to_string()
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}
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};
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messages.push(mistral::RequestMessage::Tool {
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content: tool_content,
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tool_call_id: tool_result.tool_use_id.to_string(),
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});
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}
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}
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}
|
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if !matches!(message_content, mistral::MessageContent::Plain { ref content } if content.is_empty())
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{
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messages.push(mistral::RequestMessage::User {
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content: message_content,
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});
|
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}
|
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}
|
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Role::Assistant => {
|
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for content in &message.content {
|
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match content {
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MessageContent::Text(text) => {
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messages.push(mistral::RequestMessage::Assistant {
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content: Some(mistral::MessageContent::Plain {
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content: text.clone(),
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}),
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tool_calls: Vec::new(),
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});
|
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}
|
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MessageContent::Thinking { text, .. } => {
|
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if model.supports_thinking() {
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messages.push(mistral::RequestMessage::Assistant {
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content: Some(mistral::MessageContent::Multipart {
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content: vec![mistral::MessagePart::Thinking {
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thinking: vec![mistral::ThinkingPart::Text {
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text: text.clone(),
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}],
|
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}],
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}),
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tool_calls: Vec::new(),
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});
|
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}
|
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}
|
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MessageContent::RedactedThinking(_) => {}
|
|
MessageContent::Image(_) => {}
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|
MessageContent::ToolUse(tool_use) => {
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let tool_call = mistral::ToolCall {
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id: tool_use.id.to_string(),
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content: mistral::ToolCallContent::Function {
|
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function: mistral::FunctionContent {
|
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name: tool_use.name.to_string(),
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arguments: serde_json::to_string(&tool_use.input)
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.unwrap_or_default(),
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},
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},
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};
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|
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if let Some(mistral::RequestMessage::Assistant { tool_calls, .. }) =
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messages.last_mut()
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{
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tool_calls.push(tool_call);
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} else {
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messages.push(mistral::RequestMessage::Assistant {
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content: None,
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tool_calls: vec![tool_call],
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});
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}
|
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}
|
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MessageContent::ToolResult(_) => {
|
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// Tool results are not supported in Assistant messages
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}
|
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}
|
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}
|
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}
|
|
Role::System => {
|
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for content in &message.content {
|
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match content {
|
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MessageContent::Text(text) => {
|
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messages.push(mistral::RequestMessage::System {
|
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content: mistral::MessageContent::Plain {
|
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content: text.clone(),
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},
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|
});
|
|
}
|
|
MessageContent::Thinking { text, .. } => {
|
|
if model.supports_thinking() {
|
|
messages.push(mistral::RequestMessage::System {
|
|
content: mistral::MessageContent::Multipart {
|
|
content: vec![mistral::MessagePart::Thinking {
|
|
thinking: vec![mistral::ThinkingPart::Text {
|
|
text: text.clone(),
|
|
}],
|
|
}],
|
|
},
|
|
});
|
|
}
|
|
}
|
|
MessageContent::RedactedThinking(_) => {}
|
|
MessageContent::Image(_)
|
|
| MessageContent::ToolUse(_)
|
|
| MessageContent::ToolResult(_) => {
|
|
// Images and tools are not supported in System messages
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
mistral::Request {
|
|
model: model.id().to_string(),
|
|
messages,
|
|
stream,
|
|
max_tokens: max_output_tokens,
|
|
temperature: request.temperature,
|
|
response_format: None,
|
|
tool_choice: match request.tool_choice {
|
|
Some(LanguageModelToolChoice::Auto) if !request.tools.is_empty() => {
|
|
Some(mistral::ToolChoice::Auto)
|
|
}
|
|
Some(LanguageModelToolChoice::Any) if !request.tools.is_empty() => {
|
|
Some(mistral::ToolChoice::Any)
|
|
}
|
|
Some(LanguageModelToolChoice::None) => Some(mistral::ToolChoice::None),
|
|
_ if !request.tools.is_empty() => Some(mistral::ToolChoice::Auto),
|
|
_ => None,
|
|
},
|
|
parallel_tool_calls: if !request.tools.is_empty() {
|
|
Some(false)
|
|
} else {
|
|
None
|
|
},
|
|
tools: request
|
|
.tools
|
|
.into_iter()
|
|
.map(|tool| mistral::ToolDefinition::Function {
|
|
function: mistral::FunctionDefinition {
|
|
name: tool.name,
|
|
description: Some(tool.description),
|
|
parameters: Some(tool.input_schema),
|
|
},
|
|
})
|
|
.collect(),
|
|
}
|
|
}
|
|
|
|
pub struct MistralEventMapper {
|
|
tool_calls_by_index: HashMap<usize, RawToolCall>,
|
|
}
|
|
|
|
impl MistralEventMapper {
|
|
pub fn new() -> Self {
|
|
Self {
|
|
tool_calls_by_index: HashMap::default(),
|
|
}
|
|
}
|
|
|
|
pub fn map_stream(
|
|
mut self,
|
|
events: Pin<Box<dyn Send + Stream<Item = Result<StreamResponse>>>>,
|
|
) -> impl Stream<Item = Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>
|
|
{
|
|
events.flat_map(move |event| {
|
|
futures::stream::iter(match event {
|
|
Ok(event) => self.map_event(event),
|
|
Err(error) => vec![Err(LanguageModelCompletionError::from(error))],
|
|
})
|
|
})
|
|
}
|
|
|
|
pub fn map_event(
|
|
&mut self,
|
|
event: mistral::StreamResponse,
|
|
) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
|
|
let Some(choice) = event.choices.first() else {
|
|
return vec![Err(LanguageModelCompletionError::from(anyhow!(
|
|
"Response contained no choices"
|
|
)))];
|
|
};
|
|
|
|
let mut events = Vec::new();
|
|
if let Some(content) = choice.delta.content.as_ref() {
|
|
match content {
|
|
mistral::MessageContentDelta::Text(text) => {
|
|
events.push(Ok(LanguageModelCompletionEvent::Text(text.clone())));
|
|
}
|
|
mistral::MessageContentDelta::Parts(parts) => {
|
|
for part in parts {
|
|
match part {
|
|
mistral::MessagePart::Text { text } => {
|
|
events.push(Ok(LanguageModelCompletionEvent::Text(text.clone())));
|
|
}
|
|
mistral::MessagePart::Thinking { thinking } => {
|
|
for tp in thinking.iter().cloned() {
|
|
match tp {
|
|
mistral::ThinkingPart::Text { text } => {
|
|
events.push(Ok(
|
|
LanguageModelCompletionEvent::Thinking {
|
|
text,
|
|
signature: None,
|
|
},
|
|
));
|
|
}
|
|
}
|
|
}
|
|
}
|
|
mistral::MessagePart::ImageUrl { .. } => {
|
|
// We currently don't emit a separate event for images in responses.
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if let Some(tool_calls) = choice.delta.tool_calls.as_ref() {
|
|
for tool_call in tool_calls {
|
|
let entry = self.tool_calls_by_index.entry(tool_call.index).or_default();
|
|
|
|
if let Some(tool_id) = tool_call.id.clone() {
|
|
entry.id = tool_id;
|
|
}
|
|
|
|
if let Some(function) = tool_call.function.as_ref() {
|
|
if let Some(name) = function.name.clone() {
|
|
entry.name = name;
|
|
}
|
|
|
|
if let Some(arguments) = function.arguments.clone() {
|
|
entry.arguments.push_str(&arguments);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if let Some(usage) = event.usage {
|
|
events.push(Ok(LanguageModelCompletionEvent::UsageUpdate(TokenUsage {
|
|
input_tokens: usage.prompt_tokens,
|
|
output_tokens: usage.completion_tokens,
|
|
cache_creation_input_tokens: 0,
|
|
cache_read_input_tokens: 0,
|
|
})));
|
|
}
|
|
|
|
if let Some(finish_reason) = choice.finish_reason.as_deref() {
|
|
match finish_reason {
|
|
"stop" => {
|
|
events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
|
|
}
|
|
"tool_calls" => {
|
|
events.extend(self.process_tool_calls());
|
|
events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::ToolUse)));
|
|
}
|
|
unexpected => {
|
|
log::error!("Unexpected Mistral stop_reason: {unexpected:?}");
|
|
events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
|
|
}
|
|
}
|
|
}
|
|
|
|
events
|
|
}
|
|
|
|
fn process_tool_calls(
|
|
&mut self,
|
|
) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
|
|
let mut results = Vec::new();
|
|
|
|
for (_, tool_call) in self.tool_calls_by_index.drain() {
|
|
if tool_call.id.is_empty() || tool_call.name.is_empty() {
|
|
results.push(Err(LanguageModelCompletionError::from(anyhow!(
|
|
"Received incomplete tool call: missing id or name"
|
|
))));
|
|
continue;
|
|
}
|
|
|
|
match serde_json::Value::from_str(&tool_call.arguments) {
|
|
Ok(input) => results.push(Ok(LanguageModelCompletionEvent::ToolUse(
|
|
LanguageModelToolUse {
|
|
id: tool_call.id.into(),
|
|
name: tool_call.name.into(),
|
|
is_input_complete: true,
|
|
input,
|
|
raw_input: tool_call.arguments,
|
|
thought_signature: None,
|
|
},
|
|
))),
|
|
Err(error) => {
|
|
results.push(Ok(LanguageModelCompletionEvent::ToolUseJsonParseError {
|
|
id: tool_call.id.into(),
|
|
tool_name: tool_call.name.into(),
|
|
raw_input: tool_call.arguments.into(),
|
|
json_parse_error: error.to_string(),
|
|
}))
|
|
}
|
|
}
|
|
}
|
|
|
|
results
|
|
}
|
|
}
|
|
|
|
#[derive(Default)]
|
|
struct RawToolCall {
|
|
id: String,
|
|
name: String,
|
|
arguments: String,
|
|
}
|
|
|
|
struct ConfigurationView {
|
|
api_key_editor: Entity<InputField>,
|
|
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| InputField::new(window, cx, "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"));
|
|
|
|
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) = Some(state.update(cx, |state, cx| state.authenticate(cx))) {
|
|
// 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, |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(None, cx))
|
|
.await
|
|
})
|
|
.detach_and_log_err(cx);
|
|
}
|
|
|
|
fn should_render_api_key_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 {
|
|
let env_var_set = self.state.read(cx).api_key_state.is_from_env_var();
|
|
let configured_card_label = if env_var_set {
|
|
format!("API key set in {API_KEY_ENV_VAR_NAME} environment variable")
|
|
} else {
|
|
let api_url = MistralLanguageModelProvider::api_url(cx);
|
|
if api_url == MISTRAL_API_URL {
|
|
"API key configured".to_string()
|
|
} else {
|
|
format!("API key configured for {}", api_url)
|
|
}
|
|
};
|
|
|
|
if self.load_credentials_task.is_some() {
|
|
div().child(Label::new("Loading credentials...")).into_any()
|
|
} else if self.should_render_api_key_editor(cx) {
|
|
v_flex()
|
|
.size_full()
|
|
.on_action(cx.listener(Self::save_api_key))
|
|
.child(Label::new("To use Zed's agent with Mistral, you need to add an API key. Follow these steps:"))
|
|
.child(
|
|
List::new()
|
|
.child(
|
|
ListBulletItem::new("")
|
|
.child(Label::new("Create one by visiting"))
|
|
.child(ButtonLink::new("Mistral's console", "https://console.mistral.ai/api-keys"))
|
|
)
|
|
.child(
|
|
ListBulletItem::new("Ensure your Mistral account has credits")
|
|
)
|
|
.child(
|
|
ListBulletItem::new("Paste your API key below and hit enter to start using the assistant")
|
|
),
|
|
)
|
|
.child(self.api_key_editor.clone())
|
|
.child(
|
|
Label::new(
|
|
format!("You can also set the {API_KEY_ENV_VAR_NAME} environment variable and restart Zed."),
|
|
)
|
|
.size(LabelSize::Small).color(Color::Muted),
|
|
)
|
|
.into_any()
|
|
} else {
|
|
v_flex()
|
|
.size_full()
|
|
.gap_1()
|
|
.child(
|
|
ConfiguredApiCard::new(configured_card_label)
|
|
.disabled(env_var_set)
|
|
.on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx)))
|
|
.when(env_var_set, |this| {
|
|
this.tooltip_label(format!(
|
|
"To reset your API key, \
|
|
unset the {API_KEY_ENV_VAR_NAME} environment variable."
|
|
))
|
|
}),
|
|
)
|
|
.into_any()
|
|
}
|
|
}
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::*;
|
|
use language_model::{LanguageModelImage, LanguageModelRequestMessage, MessageContent};
|
|
|
|
#[test]
|
|
fn test_into_mistral_basic_conversion() {
|
|
let request = LanguageModelRequest {
|
|
messages: vec![
|
|
LanguageModelRequestMessage {
|
|
role: Role::System,
|
|
content: vec![MessageContent::Text("System prompt".into())],
|
|
cache: false,
|
|
reasoning_details: None,
|
|
},
|
|
LanguageModelRequestMessage {
|
|
role: Role::User,
|
|
content: vec![MessageContent::Text("Hello".into())],
|
|
cache: false,
|
|
reasoning_details: None,
|
|
},
|
|
],
|
|
temperature: Some(0.5),
|
|
tools: vec![],
|
|
tool_choice: None,
|
|
thread_id: None,
|
|
prompt_id: None,
|
|
intent: None,
|
|
mode: None,
|
|
stop: vec![],
|
|
thinking_allowed: true,
|
|
};
|
|
|
|
let mistral_request = into_mistral(request, mistral::Model::MistralSmallLatest, None);
|
|
|
|
assert_eq!(mistral_request.model, "mistral-small-latest");
|
|
assert_eq!(mistral_request.temperature, Some(0.5));
|
|
assert_eq!(mistral_request.messages.len(), 2);
|
|
assert!(mistral_request.stream);
|
|
}
|
|
|
|
#[test]
|
|
fn test_into_mistral_with_image() {
|
|
let request = LanguageModelRequest {
|
|
messages: vec![LanguageModelRequestMessage {
|
|
role: Role::User,
|
|
content: vec![
|
|
MessageContent::Text("What's in this image?".into()),
|
|
MessageContent::Image(LanguageModelImage {
|
|
source: "base64data".into(),
|
|
size: None,
|
|
}),
|
|
],
|
|
cache: false,
|
|
reasoning_details: None,
|
|
}],
|
|
tools: vec![],
|
|
tool_choice: None,
|
|
temperature: None,
|
|
thread_id: None,
|
|
prompt_id: None,
|
|
intent: None,
|
|
mode: None,
|
|
stop: vec![],
|
|
thinking_allowed: true,
|
|
};
|
|
|
|
let mistral_request = into_mistral(request, mistral::Model::Pixtral12BLatest, None);
|
|
|
|
assert_eq!(mistral_request.messages.len(), 1);
|
|
assert!(matches!(
|
|
&mistral_request.messages[0],
|
|
mistral::RequestMessage::User {
|
|
content: mistral::MessageContent::Multipart { .. }
|
|
}
|
|
));
|
|
|
|
if let mistral::RequestMessage::User {
|
|
content: mistral::MessageContent::Multipart { content },
|
|
} = &mistral_request.messages[0]
|
|
{
|
|
assert_eq!(content.len(), 2);
|
|
assert!(matches!(
|
|
&content[0],
|
|
mistral::MessagePart::Text { text } if text == "What's in this image?"
|
|
));
|
|
assert!(matches!(
|
|
&content[1],
|
|
mistral::MessagePart::ImageUrl { image_url } if image_url.starts_with("data:image/png;base64,")
|
|
));
|
|
}
|
|
}
|
|
}
|