29bfb56739
- 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>
87 lines
2.9 KiB
Rust
87 lines
2.9 KiB
Rust
use std::sync::Arc;
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use client::{Client, UserStore};
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use fs::Fs;
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use gpui::{App, Context, Entity};
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use language_model::{LanguageModelProviderId, LanguageModelRegistry, ZED_CLOUD_PROVIDER_ID};
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use provider::deepseek::DeepSeekLanguageModelProvider;
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mod logging;
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pub mod provider;
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mod settings;
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use crate::provider::anthropic::AnthropicLanguageModelProvider;
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use crate::provider::cloud::CloudLanguageModelProvider;
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pub use crate::provider::cloud::LlmApiToken;
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pub use crate::provider::cloud::RefreshLlmTokenListener;
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use crate::provider::copilot_chat::CopilotChatLanguageModelProvider;
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use crate::provider::google::GoogleLanguageModelProvider;
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use crate::provider::lmstudio::LmStudioLanguageModelProvider;
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use crate::provider::ollama::OllamaLanguageModelProvider;
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use crate::provider::open_ai::OpenAiLanguageModelProvider;
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pub use crate::settings::*;
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pub use logging::report_assistant_event;
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pub fn init(user_store: Entity<UserStore>, client: Arc<Client>, fs: Arc<dyn Fs>, cx: &mut App) {
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crate::settings::init(fs, cx);
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let registry = LanguageModelRegistry::global(cx);
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registry.update(cx, |registry, cx| {
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register_language_model_providers(registry, user_store, client, cx);
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});
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}
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fn register_language_model_providers(
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registry: &mut LanguageModelRegistry,
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user_store: Entity<UserStore>,
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client: Arc<Client>,
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cx: &mut Context<LanguageModelRegistry>,
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) {
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use feature_flags::FeatureFlagAppExt;
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RefreshLlmTokenListener::register(client.clone(), cx);
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registry.register_provider(
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AnthropicLanguageModelProvider::new(client.http_client(), cx),
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cx,
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);
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registry.register_provider(
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OpenAiLanguageModelProvider::new(client.http_client(), cx),
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cx,
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);
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registry.register_provider(
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OllamaLanguageModelProvider::new(client.http_client(), cx),
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cx,
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);
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registry.register_provider(
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LmStudioLanguageModelProvider::new(client.http_client(), cx),
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cx,
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);
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registry.register_provider(
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DeepSeekLanguageModelProvider::new(client.http_client(), cx),
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cx,
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);
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registry.register_provider(
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GoogleLanguageModelProvider::new(client.http_client(), cx),
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cx,
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);
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registry.register_provider(CopilotChatLanguageModelProvider::new(cx), cx);
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cx.observe_flag::<feature_flags::LanguageModels, _>(move |enabled, cx| {
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let user_store = user_store.clone();
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let client = client.clone();
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LanguageModelRegistry::global(cx).update(cx, move |registry, cx| {
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if enabled {
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registry.register_provider(
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CloudLanguageModelProvider::new(user_store.clone(), client.clone(), cx),
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cx,
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);
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} else {
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registry.unregister_provider(
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LanguageModelProviderId::from(ZED_CLOUD_PROVIDER_ID.to_string()),
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cx,
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);
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}
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});
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})
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.detach();
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}
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