Support multiple OpenAI compatible providers (#34212)
TODO - [x] OpenAI Compatible API Icon - [x] Docs - [x] Link to docs in OpenAI provider section about configuring OpenAI API compatible providers Closes #33992 Related to #30010 Release Notes: - agent: Add support for adding multiple OpenAI API compatible providers --------- Co-authored-by: MrSubidubi <dev@bahn.sh> Co-authored-by: Danilo Leal <daniloleal09@gmail.com>
This commit is contained in:
parent
1a76a6b0bf
commit
230061a6cb
23 changed files with 1450 additions and 191 deletions
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@ -5490,7 +5490,7 @@ fn main() {{
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let thread = thread_store.update(cx, |store, cx| store.create_thread(cx));
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let context_store = cx.new(|_cx| ContextStore::new(project.downgrade(), None));
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let provider = Arc::new(FakeLanguageModelProvider);
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let provider = Arc::new(FakeLanguageModelProvider::default());
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let model = provider.test_model();
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let model: Arc<dyn LanguageModel> = Arc::new(model);
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@ -53,6 +53,7 @@ itertools.workspace = true
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jsonschema.workspace = true
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language.workspace = true
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language_model.workspace = true
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language_models.workspace = true
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log.workspace = true
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lsp.workspace = true
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markdown.workspace = true
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@ -87,6 +88,7 @@ theme.workspace = true
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time.workspace = true
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time_format.workspace = true
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ui.workspace = true
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ui_input.workspace = true
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urlencoding.workspace = true
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util.workspace = true
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uuid.workspace = true
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@ -3895,7 +3895,7 @@ mod tests {
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LanguageModelRegistry::global(cx).update(cx, |registry, cx| {
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registry.set_default_model(
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Some(ConfiguredModel {
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provider: Arc::new(FakeLanguageModelProvider),
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provider: Arc::new(FakeLanguageModelProvider::default()),
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model,
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}),
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cx,
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@ -3979,7 +3979,7 @@ mod tests {
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LanguageModelRegistry::global(cx).update(cx, |registry, cx| {
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registry.set_default_model(
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Some(ConfiguredModel {
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provider: Arc::new(FakeLanguageModelProvider),
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provider: Arc::new(FakeLanguageModelProvider::default()),
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model: model.clone(),
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}),
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cx,
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@ -1,3 +1,4 @@
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mod add_llm_provider_modal;
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mod configure_context_server_modal;
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mod manage_profiles_modal;
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mod tool_picker;
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@ -37,7 +38,10 @@ use zed_actions::ExtensionCategoryFilter;
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pub(crate) use configure_context_server_modal::ConfigureContextServerModal;
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pub(crate) use manage_profiles_modal::ManageProfilesModal;
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use crate::AddContextServer;
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use crate::{
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AddContextServer,
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agent_configuration::add_llm_provider_modal::{AddLlmProviderModal, LlmCompatibleProvider},
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};
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pub struct AgentConfiguration {
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fs: Arc<dyn Fs>,
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@ -304,16 +308,55 @@ impl AgentConfiguration {
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v_flex()
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.child(
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v_flex()
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h_flex()
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.p(DynamicSpacing::Base16.rems(cx))
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.pr(DynamicSpacing::Base20.rems(cx))
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.pb_0()
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.mb_2p5()
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.gap_0p5()
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.child(Headline::new("LLM Providers"))
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.items_start()
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.justify_between()
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.child(
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Label::new("Add at least one provider to use AI-powered features.")
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.color(Color::Muted),
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v_flex()
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.gap_0p5()
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.child(Headline::new("LLM Providers"))
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.child(
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Label::new("Add at least one provider to use AI-powered features.")
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.color(Color::Muted),
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),
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)
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.child(
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PopoverMenu::new("add-provider-popover")
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.trigger(
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Button::new("add-provider", "Add Provider")
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.icon_position(IconPosition::Start)
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.icon(IconName::Plus)
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.icon_size(IconSize::Small)
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.icon_color(Color::Muted)
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.label_size(LabelSize::Small),
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)
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.anchor(gpui::Corner::TopRight)
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.menu({
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let workspace = self.workspace.clone();
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move |window, cx| {
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Some(ContextMenu::build(window, cx, |menu, _window, _cx| {
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menu.header("Compatible APIs").entry("OpenAI", None, {
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let workspace = workspace.clone();
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move |window, cx| {
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workspace
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.update(cx, |workspace, cx| {
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AddLlmProviderModal::toggle(
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LlmCompatibleProvider::OpenAi,
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workspace,
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window,
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cx,
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);
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})
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.log_err();
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}
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})
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}))
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}
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}),
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),
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)
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.child(
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@ -0,0 +1,639 @@
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use std::sync::Arc;
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use anyhow::Result;
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use collections::HashSet;
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use fs::Fs;
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use gpui::{DismissEvent, Entity, EventEmitter, FocusHandle, Focusable, Render, Task};
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use language_model::LanguageModelRegistry;
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use language_models::{
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AllLanguageModelSettings, OpenAiCompatibleSettingsContent,
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provider::open_ai_compatible::AvailableModel,
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};
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use settings::update_settings_file;
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use ui::{Banner, KeyBinding, Modal, ModalFooter, ModalHeader, Section, prelude::*};
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use ui_input::SingleLineInput;
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use workspace::{ModalView, Workspace};
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#[derive(Clone, Copy)]
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pub enum LlmCompatibleProvider {
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OpenAi,
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}
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impl LlmCompatibleProvider {
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fn name(&self) -> &'static str {
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match self {
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LlmCompatibleProvider::OpenAi => "OpenAI",
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}
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}
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fn api_url(&self) -> &'static str {
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match self {
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LlmCompatibleProvider::OpenAi => "https://api.openai.com/v1",
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}
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}
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}
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struct AddLlmProviderInput {
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provider_name: Entity<SingleLineInput>,
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api_url: Entity<SingleLineInput>,
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api_key: Entity<SingleLineInput>,
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models: Vec<ModelInput>,
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}
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impl AddLlmProviderInput {
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fn new(provider: LlmCompatibleProvider, window: &mut Window, cx: &mut App) -> Self {
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let provider_name = single_line_input("Provider Name", provider.name(), None, window, cx);
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let api_url = single_line_input("API URL", provider.api_url(), None, window, cx);
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let api_key = single_line_input(
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"API Key",
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"000000000000000000000000000000000000000000000000",
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None,
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window,
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cx,
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);
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Self {
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provider_name,
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api_url,
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api_key,
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models: vec![ModelInput::new(window, cx)],
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}
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}
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fn add_model(&mut self, window: &mut Window, cx: &mut App) {
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self.models.push(ModelInput::new(window, cx));
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}
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fn remove_model(&mut self, index: usize) {
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self.models.remove(index);
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}
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}
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struct ModelInput {
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name: Entity<SingleLineInput>,
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max_completion_tokens: Entity<SingleLineInput>,
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max_output_tokens: Entity<SingleLineInput>,
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max_tokens: Entity<SingleLineInput>,
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}
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impl ModelInput {
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fn new(window: &mut Window, cx: &mut App) -> Self {
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let model_name = single_line_input(
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"Model Name",
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"e.g. gpt-4o, claude-opus-4, gemini-2.5-pro",
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None,
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window,
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cx,
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);
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let max_completion_tokens = single_line_input(
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"Max Completion Tokens",
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"200000",
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Some("200000"),
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window,
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cx,
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);
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let max_output_tokens = single_line_input(
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"Max Output Tokens",
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"Max Output Tokens",
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Some("32000"),
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window,
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cx,
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);
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let max_tokens = single_line_input("Max Tokens", "Max Tokens", Some("200000"), window, cx);
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Self {
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name: model_name,
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max_completion_tokens,
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max_output_tokens,
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max_tokens,
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}
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}
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fn parse(&self, cx: &App) -> Result<AvailableModel, SharedString> {
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let name = self.name.read(cx).text(cx);
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if name.is_empty() {
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return Err(SharedString::from("Model Name cannot be empty"));
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}
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Ok(AvailableModel {
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name,
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display_name: None,
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max_completion_tokens: Some(
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self.max_completion_tokens
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.read(cx)
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.text(cx)
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.parse::<u64>()
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.map_err(|_| SharedString::from("Max Completion Tokens must be a number"))?,
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),
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max_output_tokens: Some(
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self.max_output_tokens
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.read(cx)
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.text(cx)
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.parse::<u64>()
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.map_err(|_| SharedString::from("Max Output Tokens must be a number"))?,
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),
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max_tokens: self
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.max_tokens
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.read(cx)
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.text(cx)
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.parse::<u64>()
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.map_err(|_| SharedString::from("Max Tokens must be a number"))?,
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})
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}
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}
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fn single_line_input(
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label: impl Into<SharedString>,
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placeholder: impl Into<SharedString>,
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text: Option<&str>,
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window: &mut Window,
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cx: &mut App,
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) -> Entity<SingleLineInput> {
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cx.new(|cx| {
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let input = SingleLineInput::new(window, cx, placeholder).label(label);
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if let Some(text) = text {
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input
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.editor()
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.update(cx, |editor, cx| editor.set_text(text, window, cx));
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}
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input
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})
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}
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fn save_provider_to_settings(
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input: &AddLlmProviderInput,
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cx: &mut App,
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) -> Task<Result<(), SharedString>> {
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let provider_name: Arc<str> = input.provider_name.read(cx).text(cx).into();
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if provider_name.is_empty() {
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return Task::ready(Err("Provider Name cannot be empty".into()));
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}
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if LanguageModelRegistry::read_global(cx)
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.providers()
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.iter()
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.any(|provider| {
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provider.id().0.as_ref() == provider_name.as_ref()
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|| provider.name().0.as_ref() == provider_name.as_ref()
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})
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{
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return Task::ready(Err(
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"Provider Name is already taken by another provider".into()
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));
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}
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let api_url = input.api_url.read(cx).text(cx);
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if api_url.is_empty() {
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return Task::ready(Err("API URL cannot be empty".into()));
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}
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let api_key = input.api_key.read(cx).text(cx);
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if api_key.is_empty() {
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return Task::ready(Err("API Key cannot be empty".into()));
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}
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let mut models = Vec::new();
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let mut model_names: HashSet<String> = HashSet::default();
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for model in &input.models {
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match model.parse(cx) {
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Ok(model) => {
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if !model_names.insert(model.name.clone()) {
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return Task::ready(Err("Model Names must be unique".into()));
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}
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models.push(model)
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}
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Err(err) => return Task::ready(Err(err)),
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}
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}
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let fs = <dyn Fs>::global(cx);
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let task = cx.write_credentials(&api_url, "Bearer", api_key.as_bytes());
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cx.spawn(async move |cx| {
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task.await
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.map_err(|_| "Failed to write API key to keychain")?;
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cx.update(|cx| {
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update_settings_file::<AllLanguageModelSettings>(fs, cx, |settings, _cx| {
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settings.openai_compatible.get_or_insert_default().insert(
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provider_name,
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OpenAiCompatibleSettingsContent {
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api_url,
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available_models: models,
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},
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);
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});
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})
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.ok();
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Ok(())
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})
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}
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pub struct AddLlmProviderModal {
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provider: LlmCompatibleProvider,
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input: AddLlmProviderInput,
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focus_handle: FocusHandle,
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last_error: Option<SharedString>,
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}
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impl AddLlmProviderModal {
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pub fn toggle(
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provider: LlmCompatibleProvider,
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workspace: &mut Workspace,
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window: &mut Window,
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cx: &mut Context<Workspace>,
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) {
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workspace.toggle_modal(window, cx, |window, cx| Self::new(provider, window, cx));
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}
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fn new(provider: LlmCompatibleProvider, window: &mut Window, cx: &mut Context<Self>) -> Self {
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Self {
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input: AddLlmProviderInput::new(provider, window, cx),
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provider,
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last_error: None,
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focus_handle: cx.focus_handle(),
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}
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}
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fn confirm(&mut self, _: &menu::Confirm, _: &mut Window, cx: &mut Context<Self>) {
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let task = save_provider_to_settings(&self.input, cx);
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cx.spawn(async move |this, cx| {
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let result = task.await;
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this.update(cx, |this, cx| match result {
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Ok(_) => {
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cx.emit(DismissEvent);
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}
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Err(error) => {
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this.last_error = Some(error);
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cx.notify();
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}
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})
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})
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.detach_and_log_err(cx);
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}
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fn cancel(&mut self, _: &menu::Cancel, _: &mut Window, cx: &mut Context<Self>) {
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cx.emit(DismissEvent);
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}
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fn render_section(&self) -> Section {
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Section::new()
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.child(self.input.provider_name.clone())
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.child(self.input.api_url.clone())
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.child(self.input.api_key.clone())
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}
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fn render_model_section(&self, cx: &mut Context<Self>) -> Section {
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Section::new().child(
|
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v_flex()
|
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.gap_2()
|
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.child(
|
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h_flex()
|
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.justify_between()
|
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.child(Label::new("Models").size(LabelSize::Small))
|
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.child(
|
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Button::new("add-model", "Add Model")
|
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.icon(IconName::Plus)
|
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.icon_position(IconPosition::Start)
|
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.icon_size(IconSize::XSmall)
|
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.icon_color(Color::Muted)
|
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.label_size(LabelSize::Small)
|
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.on_click(cx.listener(|this, _, window, cx| {
|
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this.input.add_model(window, cx);
|
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cx.notify();
|
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})),
|
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),
|
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)
|
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.children(
|
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self.input
|
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.models
|
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.iter()
|
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.enumerate()
|
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.map(|(ix, _)| self.render_model(ix, cx)),
|
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),
|
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)
|
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}
|
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|
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fn render_model(&self, ix: usize, cx: &mut Context<Self>) -> impl IntoElement + use<> {
|
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let has_more_than_one_model = self.input.models.len() > 1;
|
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let model = &self.input.models[ix];
|
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|
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v_flex()
|
||||
.p_2()
|
||||
.gap_2()
|
||||
.rounded_sm()
|
||||
.border_1()
|
||||
.border_dashed()
|
||||
.border_color(cx.theme().colors().border.opacity(0.6))
|
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.bg(cx.theme().colors().element_active.opacity(0.15))
|
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.child(model.name.clone())
|
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.child(
|
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h_flex()
|
||||
.gap_2()
|
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.child(model.max_completion_tokens.clone())
|
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.child(model.max_output_tokens.clone()),
|
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)
|
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.child(model.max_tokens.clone())
|
||||
.when(has_more_than_one_model, |this| {
|
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this.child(
|
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Button::new(("remove-model", ix), "Remove Model")
|
||||
.icon(IconName::Trash)
|
||||
.icon_position(IconPosition::Start)
|
||||
.icon_size(IconSize::XSmall)
|
||||
.icon_color(Color::Muted)
|
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.label_size(LabelSize::Small)
|
||||
.style(ButtonStyle::Outlined)
|
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.full_width()
|
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.on_click(cx.listener(move |this, _, _window, cx| {
|
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this.input.remove_model(ix);
|
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cx.notify();
|
||||
})),
|
||||
)
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
impl EventEmitter<DismissEvent> for AddLlmProviderModal {}
|
||||
|
||||
impl Focusable for AddLlmProviderModal {
|
||||
fn focus_handle(&self, _cx: &App) -> FocusHandle {
|
||||
self.focus_handle.clone()
|
||||
}
|
||||
}
|
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|
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impl ModalView for AddLlmProviderModal {}
|
||||
|
||||
impl Render for AddLlmProviderModal {
|
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fn render(&mut self, window: &mut ui::Window, cx: &mut ui::Context<Self>) -> impl IntoElement {
|
||||
let focus_handle = self.focus_handle(cx);
|
||||
|
||||
div()
|
||||
.id("add-llm-provider-modal")
|
||||
.key_context("AddLlmProviderModal")
|
||||
.w(rems(34.))
|
||||
.elevation_3(cx)
|
||||
.on_action(cx.listener(Self::cancel))
|
||||
.capture_any_mouse_down(cx.listener(|this, _, window, cx| {
|
||||
this.focus_handle(cx).focus(window);
|
||||
}))
|
||||
.child(
|
||||
Modal::new("configure-context-server", None)
|
||||
.header(ModalHeader::new().headline("Add LLM Provider").description(
|
||||
match self.provider {
|
||||
LlmCompatibleProvider::OpenAi => {
|
||||
"This provider will use an OpenAI compatible API."
|
||||
}
|
||||
},
|
||||
))
|
||||
.when_some(self.last_error.clone(), |this, error| {
|
||||
this.section(
|
||||
Section::new().child(
|
||||
Banner::new()
|
||||
.severity(ui::Severity::Warning)
|
||||
.child(div().text_xs().child(error)),
|
||||
),
|
||||
)
|
||||
})
|
||||
.child(
|
||||
v_flex()
|
||||
.id("modal_content")
|
||||
.max_h_128()
|
||||
.overflow_y_scroll()
|
||||
.gap_2()
|
||||
.child(self.render_section())
|
||||
.child(self.render_model_section(cx)),
|
||||
)
|
||||
.footer(
|
||||
ModalFooter::new().end_slot(
|
||||
h_flex()
|
||||
.gap_1()
|
||||
.child(
|
||||
Button::new("cancel", "Cancel")
|
||||
.key_binding(
|
||||
KeyBinding::for_action_in(
|
||||
&menu::Cancel,
|
||||
&focus_handle,
|
||||
window,
|
||||
cx,
|
||||
)
|
||||
.map(|kb| kb.size(rems_from_px(12.))),
|
||||
)
|
||||
.on_click(cx.listener(|this, _event, window, cx| {
|
||||
this.cancel(&menu::Cancel, window, cx)
|
||||
})),
|
||||
)
|
||||
.child(
|
||||
Button::new("save-server", "Save Provider")
|
||||
.key_binding(
|
||||
KeyBinding::for_action_in(
|
||||
&menu::Confirm,
|
||||
&focus_handle,
|
||||
window,
|
||||
cx,
|
||||
)
|
||||
.map(|kb| kb.size(rems_from_px(12.))),
|
||||
)
|
||||
.on_click(cx.listener(|this, _event, window, cx| {
|
||||
this.confirm(&menu::Confirm, window, cx)
|
||||
})),
|
||||
),
|
||||
),
|
||||
),
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
use editor::EditorSettings;
|
||||
use fs::FakeFs;
|
||||
use gpui::{TestAppContext, VisualTestContext};
|
||||
use language::language_settings;
|
||||
use language_model::{
|
||||
LanguageModelProviderId, LanguageModelProviderName,
|
||||
fake_provider::FakeLanguageModelProvider,
|
||||
};
|
||||
use project::Project;
|
||||
use settings::{Settings as _, SettingsStore};
|
||||
use util::path;
|
||||
|
||||
#[gpui::test]
|
||||
async fn test_save_provider_invalid_inputs(cx: &mut TestAppContext) {
|
||||
let cx = setup_test(cx).await;
|
||||
|
||||
assert_eq!(
|
||||
save_provider_validation_errors("", "someurl", "somekey", vec![], cx,).await,
|
||||
Some("Provider Name cannot be empty".into())
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
save_provider_validation_errors("someprovider", "", "somekey", vec![], cx,).await,
|
||||
Some("API URL cannot be empty".into())
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
save_provider_validation_errors("someprovider", "someurl", "", vec![], cx,).await,
|
||||
Some("API Key cannot be empty".into())
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
save_provider_validation_errors(
|
||||
"someprovider",
|
||||
"someurl",
|
||||
"somekey",
|
||||
vec![("", "200000", "200000", "32000")],
|
||||
cx,
|
||||
)
|
||||
.await,
|
||||
Some("Model Name cannot be empty".into())
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
save_provider_validation_errors(
|
||||
"someprovider",
|
||||
"someurl",
|
||||
"somekey",
|
||||
vec![("somemodel", "abc", "200000", "32000")],
|
||||
cx,
|
||||
)
|
||||
.await,
|
||||
Some("Max Tokens must be a number".into())
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
save_provider_validation_errors(
|
||||
"someprovider",
|
||||
"someurl",
|
||||
"somekey",
|
||||
vec![("somemodel", "200000", "abc", "32000")],
|
||||
cx,
|
||||
)
|
||||
.await,
|
||||
Some("Max Completion Tokens must be a number".into())
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
save_provider_validation_errors(
|
||||
"someprovider",
|
||||
"someurl",
|
||||
"somekey",
|
||||
vec![("somemodel", "200000", "200000", "abc")],
|
||||
cx,
|
||||
)
|
||||
.await,
|
||||
Some("Max Output Tokens must be a number".into())
|
||||
);
|
||||
|
||||
assert_eq!(
|
||||
save_provider_validation_errors(
|
||||
"someprovider",
|
||||
"someurl",
|
||||
"somekey",
|
||||
vec![
|
||||
("somemodel", "200000", "200000", "32000"),
|
||||
("somemodel", "200000", "200000", "32000"),
|
||||
],
|
||||
cx,
|
||||
)
|
||||
.await,
|
||||
Some("Model Names must be unique".into())
|
||||
);
|
||||
}
|
||||
|
||||
#[gpui::test]
|
||||
async fn test_save_provider_name_conflict(cx: &mut TestAppContext) {
|
||||
let cx = setup_test(cx).await;
|
||||
|
||||
cx.update(|_window, cx| {
|
||||
LanguageModelRegistry::global(cx).update(cx, |registry, cx| {
|
||||
registry.register_provider(
|
||||
FakeLanguageModelProvider::new(
|
||||
LanguageModelProviderId::new("someprovider"),
|
||||
LanguageModelProviderName::new("Some Provider"),
|
||||
),
|
||||
cx,
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
assert_eq!(
|
||||
save_provider_validation_errors(
|
||||
"someprovider",
|
||||
"someurl",
|
||||
"someapikey",
|
||||
vec![("somemodel", "200000", "200000", "32000")],
|
||||
cx,
|
||||
)
|
||||
.await,
|
||||
Some("Provider Name is already taken by another provider".into())
|
||||
);
|
||||
}
|
||||
|
||||
async fn setup_test(cx: &mut TestAppContext) -> &mut VisualTestContext {
|
||||
cx.update(|cx| {
|
||||
let store = SettingsStore::test(cx);
|
||||
cx.set_global(store);
|
||||
workspace::init_settings(cx);
|
||||
Project::init_settings(cx);
|
||||
theme::init(theme::LoadThemes::JustBase, cx);
|
||||
language_settings::init(cx);
|
||||
EditorSettings::register(cx);
|
||||
language_model::init_settings(cx);
|
||||
language_models::init_settings(cx);
|
||||
});
|
||||
|
||||
let fs = FakeFs::new(cx.executor());
|
||||
cx.update(|cx| <dyn Fs>::set_global(fs.clone(), cx));
|
||||
let project = Project::test(fs, [path!("/dir").as_ref()], cx).await;
|
||||
let (_, cx) =
|
||||
cx.add_window_view(|window, cx| Workspace::test_new(project.clone(), window, cx));
|
||||
|
||||
cx
|
||||
}
|
||||
|
||||
async fn save_provider_validation_errors(
|
||||
provider_name: &str,
|
||||
api_url: &str,
|
||||
api_key: &str,
|
||||
models: Vec<(&str, &str, &str, &str)>,
|
||||
cx: &mut VisualTestContext,
|
||||
) -> Option<SharedString> {
|
||||
fn set_text(
|
||||
input: &Entity<SingleLineInput>,
|
||||
text: &str,
|
||||
window: &mut Window,
|
||||
cx: &mut App,
|
||||
) {
|
||||
input.update(cx, |input, cx| {
|
||||
input.editor().update(cx, |editor, cx| {
|
||||
editor.set_text(text, window, cx);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
let task = cx.update(|window, cx| {
|
||||
let mut input = AddLlmProviderInput::new(LlmCompatibleProvider::OpenAi, window, cx);
|
||||
set_text(&input.provider_name, provider_name, window, cx);
|
||||
set_text(&input.api_url, api_url, window, cx);
|
||||
set_text(&input.api_key, api_key, window, cx);
|
||||
|
||||
for (i, (name, max_tokens, max_completion_tokens, max_output_tokens)) in
|
||||
models.iter().enumerate()
|
||||
{
|
||||
if i >= input.models.len() {
|
||||
input.models.push(ModelInput::new(window, cx));
|
||||
}
|
||||
let model = &mut input.models[i];
|
||||
set_text(&model.name, name, window, cx);
|
||||
set_text(&model.max_tokens, max_tokens, window, cx);
|
||||
set_text(
|
||||
&model.max_completion_tokens,
|
||||
max_completion_tokens,
|
||||
window,
|
||||
cx,
|
||||
);
|
||||
set_text(&model.max_output_tokens, max_output_tokens, window, cx);
|
||||
}
|
||||
save_provider_to_settings(&input, cx)
|
||||
});
|
||||
|
||||
task.await.err()
|
||||
}
|
||||
}
|
|
@ -1323,7 +1323,7 @@ fn setup_context_editor_with_fake_model(
|
|||
) -> (Entity<AssistantContext>, Arc<FakeLanguageModel>) {
|
||||
let registry = Arc::new(LanguageRegistry::test(cx.executor().clone()));
|
||||
|
||||
let fake_provider = Arc::new(FakeLanguageModelProvider);
|
||||
let fake_provider = Arc::new(FakeLanguageModelProvider::default());
|
||||
let fake_model = Arc::new(fake_provider.test_model());
|
||||
|
||||
cx.update(|cx| {
|
||||
|
|
|
@ -200,7 +200,7 @@ mod tests {
|
|||
|
||||
// Run the tool before any changes
|
||||
let tool = Arc::new(ProjectNotificationsTool);
|
||||
let provider = Arc::new(FakeLanguageModelProvider);
|
||||
let provider = Arc::new(FakeLanguageModelProvider::default());
|
||||
let model: Arc<dyn LanguageModel> = Arc::new(provider.test_model());
|
||||
let request = Arc::new(LanguageModelRequest::default());
|
||||
let tool_input = json!({});
|
||||
|
|
|
@ -20,6 +20,7 @@ pub enum IconName {
|
|||
AiMistral,
|
||||
AiOllama,
|
||||
AiOpenAi,
|
||||
AiOpenAiCompat,
|
||||
AiOpenRouter,
|
||||
AiVZero,
|
||||
AiXAi,
|
||||
|
|
|
@ -10,25 +10,21 @@ use http_client::Result;
|
|||
use parking_lot::Mutex;
|
||||
use std::sync::Arc;
|
||||
|
||||
pub fn language_model_id() -> LanguageModelId {
|
||||
LanguageModelId::from("fake".to_string())
|
||||
#[derive(Clone)]
|
||||
pub struct FakeLanguageModelProvider {
|
||||
id: LanguageModelProviderId,
|
||||
name: LanguageModelProviderName,
|
||||
}
|
||||
|
||||
pub fn language_model_name() -> LanguageModelName {
|
||||
LanguageModelName::from("Fake".to_string())
|
||||
impl Default for FakeLanguageModelProvider {
|
||||
fn default() -> Self {
|
||||
Self {
|
||||
id: LanguageModelProviderId::from("fake".to_string()),
|
||||
name: LanguageModelProviderName::from("Fake".to_string()),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
pub fn provider_id() -> LanguageModelProviderId {
|
||||
LanguageModelProviderId::from("fake".to_string())
|
||||
}
|
||||
|
||||
pub fn provider_name() -> LanguageModelProviderName {
|
||||
LanguageModelProviderName::from("Fake".to_string())
|
||||
}
|
||||
|
||||
#[derive(Clone, Default)]
|
||||
pub struct FakeLanguageModelProvider;
|
||||
|
||||
impl LanguageModelProviderState for FakeLanguageModelProvider {
|
||||
type ObservableEntity = ();
|
||||
|
||||
|
@ -39,11 +35,11 @@ impl LanguageModelProviderState for FakeLanguageModelProvider {
|
|||
|
||||
impl LanguageModelProvider for FakeLanguageModelProvider {
|
||||
fn id(&self) -> LanguageModelProviderId {
|
||||
provider_id()
|
||||
self.id.clone()
|
||||
}
|
||||
|
||||
fn name(&self) -> LanguageModelProviderName {
|
||||
provider_name()
|
||||
self.name.clone()
|
||||
}
|
||||
|
||||
fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
|
||||
|
@ -76,6 +72,10 @@ impl LanguageModelProvider for FakeLanguageModelProvider {
|
|||
}
|
||||
|
||||
impl FakeLanguageModelProvider {
|
||||
pub fn new(id: LanguageModelProviderId, name: LanguageModelProviderName) -> Self {
|
||||
Self { id, name }
|
||||
}
|
||||
|
||||
pub fn test_model(&self) -> FakeLanguageModel {
|
||||
FakeLanguageModel::default()
|
||||
}
|
||||
|
@ -89,11 +89,22 @@ pub struct ToolUseRequest {
|
|||
pub schema: serde_json::Value,
|
||||
}
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct FakeLanguageModel {
|
||||
provider_id: LanguageModelProviderId,
|
||||
provider_name: LanguageModelProviderName,
|
||||
current_completion_txs: Mutex<Vec<(LanguageModelRequest, mpsc::UnboundedSender<String>)>>,
|
||||
}
|
||||
|
||||
impl Default for FakeLanguageModel {
|
||||
fn default() -> Self {
|
||||
Self {
|
||||
provider_id: LanguageModelProviderId::from("fake".to_string()),
|
||||
provider_name: LanguageModelProviderName::from("Fake".to_string()),
|
||||
current_completion_txs: Mutex::new(Vec::new()),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl FakeLanguageModel {
|
||||
pub fn pending_completions(&self) -> Vec<LanguageModelRequest> {
|
||||
self.current_completion_txs
|
||||
|
@ -138,19 +149,19 @@ impl FakeLanguageModel {
|
|||
|
||||
impl LanguageModel for FakeLanguageModel {
|
||||
fn id(&self) -> LanguageModelId {
|
||||
language_model_id()
|
||||
LanguageModelId::from("fake".to_string())
|
||||
}
|
||||
|
||||
fn name(&self) -> LanguageModelName {
|
||||
language_model_name()
|
||||
LanguageModelName::from("Fake".to_string())
|
||||
}
|
||||
|
||||
fn provider_id(&self) -> LanguageModelProviderId {
|
||||
provider_id()
|
||||
self.provider_id.clone()
|
||||
}
|
||||
|
||||
fn provider_name(&self) -> LanguageModelProviderName {
|
||||
provider_name()
|
||||
self.provider_name.clone()
|
||||
}
|
||||
|
||||
fn supports_tools(&self) -> bool {
|
||||
|
|
|
@ -735,6 +735,18 @@ impl From<String> for LanguageModelProviderName {
|
|||
}
|
||||
}
|
||||
|
||||
impl From<Arc<str>> for LanguageModelProviderId {
|
||||
fn from(value: Arc<str>) -> Self {
|
||||
Self(SharedString::from(value))
|
||||
}
|
||||
}
|
||||
|
||||
impl From<Arc<str>> for LanguageModelProviderName {
|
||||
fn from(value: Arc<str>) -> Self {
|
||||
Self(SharedString::from(value))
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
|
|
@ -125,7 +125,7 @@ impl LanguageModelRegistry {
|
|||
|
||||
#[cfg(any(test, feature = "test-support"))]
|
||||
pub fn test(cx: &mut App) -> crate::fake_provider::FakeLanguageModelProvider {
|
||||
let fake_provider = crate::fake_provider::FakeLanguageModelProvider;
|
||||
let fake_provider = crate::fake_provider::FakeLanguageModelProvider::default();
|
||||
let registry = cx.new(|cx| {
|
||||
let mut registry = Self::default();
|
||||
registry.register_provider(fake_provider.clone(), cx);
|
||||
|
@ -403,16 +403,17 @@ mod tests {
|
|||
fn test_register_providers(cx: &mut App) {
|
||||
let registry = cx.new(|_| LanguageModelRegistry::default());
|
||||
|
||||
let provider = FakeLanguageModelProvider::default();
|
||||
registry.update(cx, |registry, cx| {
|
||||
registry.register_provider(FakeLanguageModelProvider, cx);
|
||||
registry.register_provider(provider.clone(), cx);
|
||||
});
|
||||
|
||||
let providers = registry.read(cx).providers();
|
||||
assert_eq!(providers.len(), 1);
|
||||
assert_eq!(providers[0].id(), crate::fake_provider::provider_id());
|
||||
assert_eq!(providers[0].id(), provider.id());
|
||||
|
||||
registry.update(cx, |registry, cx| {
|
||||
registry.unregister_provider(crate::fake_provider::provider_id(), cx);
|
||||
registry.unregister_provider(provider.id(), cx);
|
||||
});
|
||||
|
||||
let providers = registry.read(cx).providers();
|
||||
|
|
|
@ -26,10 +26,10 @@ client.workspace = true
|
|||
collections.workspace = true
|
||||
component.workspace = true
|
||||
credentials_provider.workspace = true
|
||||
convert_case.workspace = true
|
||||
copilot.workspace = true
|
||||
deepseek = { workspace = true, features = ["schemars"] }
|
||||
editor.workspace = true
|
||||
fs.workspace = true
|
||||
futures.workspace = true
|
||||
google_ai = { workspace = true, features = ["schemars"] }
|
||||
gpui.workspace = true
|
||||
|
|
|
@ -1,8 +1,10 @@
|
|||
use std::sync::Arc;
|
||||
|
||||
use ::settings::{Settings, SettingsStore};
|
||||
use client::{Client, UserStore};
|
||||
use collections::HashSet;
|
||||
use gpui::{App, Context, Entity};
|
||||
use language_model::LanguageModelRegistry;
|
||||
use language_model::{LanguageModelProviderId, LanguageModelRegistry};
|
||||
use provider::deepseek::DeepSeekLanguageModelProvider;
|
||||
|
||||
pub mod provider;
|
||||
|
@ -18,17 +20,81 @@ use crate::provider::lmstudio::LmStudioLanguageModelProvider;
|
|||
use crate::provider::mistral::MistralLanguageModelProvider;
|
||||
use crate::provider::ollama::OllamaLanguageModelProvider;
|
||||
use crate::provider::open_ai::OpenAiLanguageModelProvider;
|
||||
use crate::provider::open_ai_compatible::OpenAiCompatibleLanguageModelProvider;
|
||||
use crate::provider::open_router::OpenRouterLanguageModelProvider;
|
||||
use crate::provider::vercel::VercelLanguageModelProvider;
|
||||
use crate::provider::x_ai::XAiLanguageModelProvider;
|
||||
pub use crate::settings::*;
|
||||
|
||||
pub fn init(user_store: Entity<UserStore>, client: Arc<Client>, cx: &mut App) {
|
||||
crate::settings::init(cx);
|
||||
crate::settings::init_settings(cx);
|
||||
let registry = LanguageModelRegistry::global(cx);
|
||||
registry.update(cx, |registry, cx| {
|
||||
register_language_model_providers(registry, user_store, client, cx);
|
||||
register_language_model_providers(registry, user_store, client.clone(), cx);
|
||||
});
|
||||
|
||||
let mut openai_compatible_providers = AllLanguageModelSettings::get_global(cx)
|
||||
.openai_compatible
|
||||
.keys()
|
||||
.cloned()
|
||||
.collect::<HashSet<_>>();
|
||||
|
||||
registry.update(cx, |registry, cx| {
|
||||
register_openai_compatible_providers(
|
||||
registry,
|
||||
&HashSet::default(),
|
||||
&openai_compatible_providers,
|
||||
client.clone(),
|
||||
cx,
|
||||
);
|
||||
});
|
||||
cx.observe_global::<SettingsStore>(move |cx| {
|
||||
let openai_compatible_providers_new = AllLanguageModelSettings::get_global(cx)
|
||||
.openai_compatible
|
||||
.keys()
|
||||
.cloned()
|
||||
.collect::<HashSet<_>>();
|
||||
if openai_compatible_providers_new != openai_compatible_providers {
|
||||
registry.update(cx, |registry, cx| {
|
||||
register_openai_compatible_providers(
|
||||
registry,
|
||||
&openai_compatible_providers,
|
||||
&openai_compatible_providers_new,
|
||||
client.clone(),
|
||||
cx,
|
||||
);
|
||||
});
|
||||
openai_compatible_providers = openai_compatible_providers_new;
|
||||
}
|
||||
})
|
||||
.detach();
|
||||
}
|
||||
|
||||
fn register_openai_compatible_providers(
|
||||
registry: &mut LanguageModelRegistry,
|
||||
old: &HashSet<Arc<str>>,
|
||||
new: &HashSet<Arc<str>>,
|
||||
client: Arc<Client>,
|
||||
cx: &mut Context<LanguageModelRegistry>,
|
||||
) {
|
||||
for provider_id in old {
|
||||
if !new.contains(provider_id) {
|
||||
registry.unregister_provider(LanguageModelProviderId::from(provider_id.clone()), cx);
|
||||
}
|
||||
}
|
||||
|
||||
for provider_id in new {
|
||||
if !old.contains(provider_id) {
|
||||
registry.register_provider(
|
||||
OpenAiCompatibleLanguageModelProvider::new(
|
||||
provider_id.clone(),
|
||||
client.http_client(),
|
||||
cx,
|
||||
),
|
||||
cx,
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn register_language_model_providers(
|
||||
|
|
|
@ -8,6 +8,7 @@ pub mod lmstudio;
|
|||
pub mod mistral;
|
||||
pub mod ollama;
|
||||
pub mod open_ai;
|
||||
pub mod open_ai_compatible;
|
||||
pub mod open_router;
|
||||
pub mod vercel;
|
||||
pub mod x_ai;
|
||||
|
|
|
@ -2,7 +2,6 @@ use anyhow::{Context as _, Result, anyhow};
|
|||
use collections::{BTreeMap, HashMap};
|
||||
use credentials_provider::CredentialsProvider;
|
||||
|
||||
use fs::Fs;
|
||||
use futures::Stream;
|
||||
use futures::{FutureExt, StreamExt, future::BoxFuture};
|
||||
use gpui::{AnyView, App, AsyncApp, Context, Entity, Subscription, Task, Window};
|
||||
|
@ -18,7 +17,7 @@ use menu;
|
|||
use open_ai::{ImageUrl, Model, ResponseStreamEvent, stream_completion};
|
||||
use schemars::JsonSchema;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use settings::{Settings, SettingsStore, update_settings_file};
|
||||
use settings::{Settings, SettingsStore};
|
||||
use std::pin::Pin;
|
||||
use std::str::FromStr as _;
|
||||
use std::sync::Arc;
|
||||
|
@ -28,7 +27,6 @@ use ui::{ElevationIndex, List, Tooltip, prelude::*};
|
|||
use ui_input::SingleLineInput;
|
||||
use util::ResultExt;
|
||||
|
||||
use crate::OpenAiSettingsContent;
|
||||
use crate::{AllLanguageModelSettings, ui::InstructionListItem};
|
||||
|
||||
const PROVIDER_ID: LanguageModelProviderId = language_model::OPEN_AI_PROVIDER_ID;
|
||||
|
@ -621,26 +619,32 @@ struct RawToolCall {
|
|||
arguments: String,
|
||||
}
|
||||
|
||||
pub(crate) fn collect_tiktoken_messages(
|
||||
request: LanguageModelRequest,
|
||||
) -> Vec<tiktoken_rs::ChatCompletionRequestMessage> {
|
||||
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<_>>()
|
||||
}
|
||||
|
||||
pub fn count_open_ai_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 messages = collect_tiktoken_messages(request);
|
||||
|
||||
match model {
|
||||
Model::Custom { max_tokens, .. } => {
|
||||
|
@ -678,7 +682,6 @@ pub fn count_open_ai_tokens(
|
|||
|
||||
struct ConfigurationView {
|
||||
api_key_editor: Entity<SingleLineInput>,
|
||||
api_url_editor: Entity<SingleLineInput>,
|
||||
state: gpui::Entity<State>,
|
||||
load_credentials_task: Option<Task<()>>,
|
||||
}
|
||||
|
@ -691,23 +694,6 @@ impl ConfigurationView {
|
|||
cx,
|
||||
"sk-000000000000000000000000000000000000000000000000",
|
||||
)
|
||||
.label("API key")
|
||||
});
|
||||
|
||||
let api_url = AllLanguageModelSettings::get_global(cx)
|
||||
.openai
|
||||
.api_url
|
||||
.clone();
|
||||
|
||||
let api_url_editor = cx.new(|cx| {
|
||||
let input = SingleLineInput::new(window, cx, open_ai::OPEN_AI_API_URL).label("API URL");
|
||||
|
||||
if !api_url.is_empty() {
|
||||
input.editor.update(cx, |editor, cx| {
|
||||
editor.set_text(&*api_url, window, cx);
|
||||
});
|
||||
}
|
||||
input
|
||||
});
|
||||
|
||||
cx.observe(&state, |_, _, cx| {
|
||||
|
@ -735,7 +721,6 @@ impl ConfigurationView {
|
|||
|
||||
Self {
|
||||
api_key_editor,
|
||||
api_url_editor,
|
||||
state,
|
||||
load_credentials_task,
|
||||
}
|
||||
|
@ -783,57 +768,6 @@ impl ConfigurationView {
|
|||
cx.notify();
|
||||
}
|
||||
|
||||
fn save_api_url(&mut self, cx: &mut Context<Self>) {
|
||||
let api_url = self
|
||||
.api_url_editor
|
||||
.read(cx)
|
||||
.editor()
|
||||
.read(cx)
|
||||
.text(cx)
|
||||
.trim()
|
||||
.to_string();
|
||||
|
||||
let current_url = AllLanguageModelSettings::get_global(cx)
|
||||
.openai
|
||||
.api_url
|
||||
.clone();
|
||||
|
||||
let effective_current_url = if current_url.is_empty() {
|
||||
open_ai::OPEN_AI_API_URL
|
||||
} else {
|
||||
¤t_url
|
||||
};
|
||||
|
||||
if !api_url.is_empty() && api_url != effective_current_url {
|
||||
let fs = <dyn Fs>::global(cx);
|
||||
update_settings_file::<AllLanguageModelSettings>(fs, cx, move |settings, _| {
|
||||
if let Some(settings) = settings.openai.as_mut() {
|
||||
settings.api_url = Some(api_url.clone());
|
||||
} else {
|
||||
settings.openai = Some(OpenAiSettingsContent {
|
||||
api_url: Some(api_url.clone()),
|
||||
available_models: None,
|
||||
});
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
fn reset_api_url(&mut self, window: &mut Window, cx: &mut Context<Self>) {
|
||||
self.api_url_editor.update(cx, |input, cx| {
|
||||
input.editor.update(cx, |editor, cx| {
|
||||
editor.set_text("", window, cx);
|
||||
});
|
||||
});
|
||||
let fs = <dyn Fs>::global(cx);
|
||||
update_settings_file::<AllLanguageModelSettings>(fs, cx, |settings, _cx| {
|
||||
if let Some(settings) = settings.openai.as_mut() {
|
||||
settings.api_url = None;
|
||||
}
|
||||
});
|
||||
cx.notify();
|
||||
}
|
||||
|
||||
fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
|
||||
!self.state.read(cx).is_authenticated()
|
||||
}
|
||||
|
@ -846,7 +780,6 @@ impl Render for ConfigurationView {
|
|||
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 assistant with OpenAI, you need to add an API key. Follow these steps:"))
|
||||
.child(
|
||||
List::new()
|
||||
|
@ -910,59 +843,34 @@ impl Render for ConfigurationView {
|
|||
.into_any()
|
||||
};
|
||||
|
||||
let custom_api_url_set =
|
||||
AllLanguageModelSettings::get_global(cx).openai.api_url != open_ai::OPEN_AI_API_URL;
|
||||
|
||||
let api_url_section = if custom_api_url_set {
|
||||
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("Custom API URL configured.")),
|
||||
)
|
||||
.child(
|
||||
Button::new("reset-api-url", "Reset API URL")
|
||||
.label_size(LabelSize::Small)
|
||||
.icon(IconName::Undo)
|
||||
.icon_size(IconSize::Small)
|
||||
.icon_position(IconPosition::Start)
|
||||
.layer(ElevationIndex::ModalSurface)
|
||||
.on_click(
|
||||
cx.listener(|this, _, window, cx| this.reset_api_url(window, cx)),
|
||||
),
|
||||
)
|
||||
.into_any()
|
||||
} else {
|
||||
v_flex()
|
||||
.on_action(cx.listener(|this, _: &menu::Confirm, _window, cx| {
|
||||
this.save_api_url(cx);
|
||||
cx.notify();
|
||||
}))
|
||||
.mt_2()
|
||||
.pt_2()
|
||||
.border_t_1()
|
||||
.border_color(cx.theme().colors().border_variant)
|
||||
.gap_1()
|
||||
.child(
|
||||
List::new()
|
||||
.child(InstructionListItem::text_only(
|
||||
"Optionally, you can change the base URL for the OpenAI API request.",
|
||||
))
|
||||
.child(InstructionListItem::text_only(
|
||||
"Paste the new API endpoint below and hit enter",
|
||||
)),
|
||||
)
|
||||
.child(self.api_url_editor.clone())
|
||||
.into_any()
|
||||
};
|
||||
let compatible_api_section = h_flex()
|
||||
.mt_1p5()
|
||||
.gap_0p5()
|
||||
.flex_wrap()
|
||||
.when(self.should_render_editor(cx), |this| {
|
||||
this.pt_1p5()
|
||||
.border_t_1()
|
||||
.border_color(cx.theme().colors().border_variant)
|
||||
})
|
||||
.child(
|
||||
h_flex()
|
||||
.gap_2()
|
||||
.child(
|
||||
Icon::new(IconName::Info)
|
||||
.size(IconSize::XSmall)
|
||||
.color(Color::Muted),
|
||||
)
|
||||
.child(Label::new("Zed also supports OpenAI-compatible models.")),
|
||||
)
|
||||
.child(
|
||||
Button::new("docs", "Learn More")
|
||||
.icon(IconName::ArrowUpRight)
|
||||
.icon_size(IconSize::XSmall)
|
||||
.icon_color(Color::Muted)
|
||||
.on_click(move |_, _window, cx| {
|
||||
cx.open_url("https://zed.dev/docs/ai/configuration#openai-api-compatible")
|
||||
}),
|
||||
);
|
||||
|
||||
if self.load_credentials_task.is_some() {
|
||||
div().child(Label::new("Loading credentials…")).into_any()
|
||||
|
@ -970,7 +878,7 @@ impl Render for ConfigurationView {
|
|||
v_flex()
|
||||
.size_full()
|
||||
.child(api_key_section)
|
||||
.child(api_url_section)
|
||||
.child(compatible_api_section)
|
||||
.into_any()
|
||||
}
|
||||
}
|
||||
|
|
522
crates/language_models/src/provider/open_ai_compatible.rs
Normal file
522
crates/language_models/src/provider/open_ai_compatible.rs
Normal file
|
@ -0,0 +1,522 @@
|
|||
use anyhow::{Context as _, Result, anyhow};
|
||||
use credentials_provider::CredentialsProvider;
|
||||
|
||||
use convert_case::{Case, Casing};
|
||||
use futures::{FutureExt, StreamExt, future::BoxFuture};
|
||||
use gpui::{AnyView, App, AsyncApp, Context, Entity, Subscription, Task, Window};
|
||||
use http_client::HttpClient;
|
||||
use language_model::{
|
||||
AuthenticateError, LanguageModel, LanguageModelCompletionError, LanguageModelCompletionEvent,
|
||||
LanguageModelId, LanguageModelName, LanguageModelProvider, LanguageModelProviderId,
|
||||
LanguageModelProviderName, LanguageModelProviderState, LanguageModelRequest,
|
||||
LanguageModelToolChoice, RateLimiter,
|
||||
};
|
||||
use menu;
|
||||
use open_ai::{ResponseStreamEvent, stream_completion};
|
||||
use schemars::JsonSchema;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use settings::{Settings, SettingsStore};
|
||||
use std::sync::Arc;
|
||||
|
||||
use ui::{ElevationIndex, Tooltip, prelude::*};
|
||||
use ui_input::SingleLineInput;
|
||||
use util::ResultExt;
|
||||
|
||||
use crate::AllLanguageModelSettings;
|
||||
use crate::provider::open_ai::{OpenAiEventMapper, into_open_ai};
|
||||
|
||||
#[derive(Default, Clone, Debug, PartialEq)]
|
||||
pub struct OpenAiCompatibleSettings {
|
||||
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: u64,
|
||||
pub max_output_tokens: Option<u64>,
|
||||
pub max_completion_tokens: Option<u64>,
|
||||
}
|
||||
|
||||
pub struct OpenAiCompatibleLanguageModelProvider {
|
||||
id: LanguageModelProviderId,
|
||||
name: LanguageModelProviderName,
|
||||
http_client: Arc<dyn HttpClient>,
|
||||
state: gpui::Entity<State>,
|
||||
}
|
||||
|
||||
pub struct State {
|
||||
id: Arc<str>,
|
||||
env_var_name: Arc<str>,
|
||||
api_key: Option<String>,
|
||||
api_key_from_env: bool,
|
||||
settings: OpenAiCompatibleSettings,
|
||||
_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 credentials_provider = <dyn CredentialsProvider>::global(cx);
|
||||
let api_url = self.settings.api_url.clone();
|
||||
cx.spawn(async move |this, cx| {
|
||||
credentials_provider
|
||||
.delete_credentials(&api_url, &cx)
|
||||
.await
|
||||
.log_err();
|
||||
this.update(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 credentials_provider = <dyn CredentialsProvider>::global(cx);
|
||||
let api_url = self.settings.api_url.clone();
|
||||
cx.spawn(async move |this, cx| {
|
||||
credentials_provider
|
||||
.write_credentials(&api_url, "Bearer", api_key.as_bytes(), &cx)
|
||||
.await
|
||||
.log_err();
|
||||
this.update(cx, |this, cx| {
|
||||
this.api_key = Some(api_key);
|
||||
cx.notify();
|
||||
})
|
||||
})
|
||||
}
|
||||
|
||||
fn authenticate(&self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
|
||||
if self.is_authenticated() {
|
||||
return Task::ready(Ok(()));
|
||||
}
|
||||
|
||||
let credentials_provider = <dyn CredentialsProvider>::global(cx);
|
||||
let env_var_name = self.env_var_name.clone();
|
||||
let api_url = self.settings.api_url.clone();
|
||||
cx.spawn(async move |this, cx| {
|
||||
let (api_key, from_env) = if let Ok(api_key) = std::env::var(env_var_name.as_ref()) {
|
||||
(api_key, true)
|
||||
} else {
|
||||
let (_, api_key) = credentials_provider
|
||||
.read_credentials(&api_url, &cx)
|
||||
.await?
|
||||
.ok_or(AuthenticateError::CredentialsNotFound)?;
|
||||
(
|
||||
String::from_utf8(api_key).context("invalid {PROVIDER_NAME} API key")?,
|
||||
false,
|
||||
)
|
||||
};
|
||||
this.update(cx, |this, cx| {
|
||||
this.api_key = Some(api_key);
|
||||
this.api_key_from_env = from_env;
|
||||
cx.notify();
|
||||
})?;
|
||||
|
||||
Ok(())
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
impl OpenAiCompatibleLanguageModelProvider {
|
||||
pub fn new(id: Arc<str>, http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
|
||||
fn resolve_settings<'a>(id: &'a str, cx: &'a App) -> Option<&'a OpenAiCompatibleSettings> {
|
||||
AllLanguageModelSettings::get_global(cx)
|
||||
.openai_compatible
|
||||
.get(id)
|
||||
}
|
||||
|
||||
let state = cx.new(|cx| State {
|
||||
id: id.clone(),
|
||||
env_var_name: format!("{}_API_KEY", id).to_case(Case::Constant).into(),
|
||||
settings: resolve_settings(&id, cx).cloned().unwrap_or_default(),
|
||||
api_key: None,
|
||||
api_key_from_env: false,
|
||||
_subscription: cx.observe_global::<SettingsStore>(|this: &mut State, cx| {
|
||||
let Some(settings) = resolve_settings(&this.id, cx) else {
|
||||
return;
|
||||
};
|
||||
if &this.settings != settings {
|
||||
this.settings = settings.clone();
|
||||
cx.notify();
|
||||
}
|
||||
}),
|
||||
});
|
||||
|
||||
Self {
|
||||
id: id.clone().into(),
|
||||
name: id.into(),
|
||||
http_client,
|
||||
state,
|
||||
}
|
||||
}
|
||||
|
||||
fn create_language_model(&self, model: AvailableModel) -> Arc<dyn LanguageModel> {
|
||||
Arc::new(OpenAiCompatibleLanguageModel {
|
||||
id: LanguageModelId::from(model.name.clone()),
|
||||
provider_id: self.id.clone(),
|
||||
provider_name: self.name.clone(),
|
||||
model,
|
||||
state: self.state.clone(),
|
||||
http_client: self.http_client.clone(),
|
||||
request_limiter: RateLimiter::new(4),
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
impl LanguageModelProviderState for OpenAiCompatibleLanguageModelProvider {
|
||||
type ObservableEntity = State;
|
||||
|
||||
fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {
|
||||
Some(self.state.clone())
|
||||
}
|
||||
}
|
||||
|
||||
impl LanguageModelProvider for OpenAiCompatibleLanguageModelProvider {
|
||||
fn id(&self) -> LanguageModelProviderId {
|
||||
self.id.clone()
|
||||
}
|
||||
|
||||
fn name(&self) -> LanguageModelProviderName {
|
||||
self.name.clone()
|
||||
}
|
||||
|
||||
fn icon(&self) -> IconName {
|
||||
IconName::AiOpenAiCompat
|
||||
}
|
||||
|
||||
fn default_model(&self, cx: &App) -> Option<Arc<dyn LanguageModel>> {
|
||||
self.state
|
||||
.read(cx)
|
||||
.settings
|
||||
.available_models
|
||||
.first()
|
||||
.map(|model| self.create_language_model(model.clone()))
|
||||
}
|
||||
|
||||
fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
|
||||
None
|
||||
}
|
||||
|
||||
fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
|
||||
self.state
|
||||
.read(cx)
|
||||
.settings
|
||||
.available_models
|
||||
.iter()
|
||||
.map(|model| self.create_language_model(model.clone()))
|
||||
.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, 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 OpenAiCompatibleLanguageModel {
|
||||
id: LanguageModelId,
|
||||
provider_id: LanguageModelProviderId,
|
||||
provider_name: LanguageModelProviderName,
|
||||
model: AvailableModel,
|
||||
state: gpui::Entity<State>,
|
||||
http_client: Arc<dyn HttpClient>,
|
||||
request_limiter: RateLimiter,
|
||||
}
|
||||
|
||||
impl OpenAiCompatibleLanguageModel {
|
||||
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)) = cx.read_entity(&self.state, |state, _| {
|
||||
(state.api_key.clone(), state.settings.api_url.clone())
|
||||
}) else {
|
||||
return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
|
||||
};
|
||||
|
||||
let provider = self.provider_name.clone();
|
||||
let future = self.request_limiter.stream(async move {
|
||||
let Some(api_key) = api_key else {
|
||||
return Err(LanguageModelCompletionError::NoApiKey { provider });
|
||||
};
|
||||
let request = 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 OpenAiCompatibleLanguageModel {
|
||||
fn id(&self) -> LanguageModelId {
|
||||
self.id.clone()
|
||||
}
|
||||
|
||||
fn name(&self) -> LanguageModelName {
|
||||
LanguageModelName::from(
|
||||
self.model
|
||||
.display_name
|
||||
.clone()
|
||||
.unwrap_or_else(|| self.model.name.clone()),
|
||||
)
|
||||
}
|
||||
|
||||
fn provider_id(&self) -> LanguageModelProviderId {
|
||||
self.provider_id.clone()
|
||||
}
|
||||
|
||||
fn provider_name(&self) -> LanguageModelProviderName {
|
||||
self.provider_name.clone()
|
||||
}
|
||||
|
||||
fn supports_tools(&self) -> bool {
|
||||
true
|
||||
}
|
||||
|
||||
fn supports_images(&self) -> bool {
|
||||
false
|
||||
}
|
||||
|
||||
fn supports_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {
|
||||
match choice {
|
||||
LanguageModelToolChoice::Auto => true,
|
||||
LanguageModelToolChoice::Any => true,
|
||||
LanguageModelToolChoice::None => true,
|
||||
}
|
||||
}
|
||||
|
||||
fn telemetry_id(&self) -> String {
|
||||
format!("openai/{}", self.model.name)
|
||||
}
|
||||
|
||||
fn max_token_count(&self) -> u64 {
|
||||
self.model.max_tokens
|
||||
}
|
||||
|
||||
fn max_output_tokens(&self) -> Option<u64> {
|
||||
self.model.max_output_tokens
|
||||
}
|
||||
|
||||
fn count_tokens(
|
||||
&self,
|
||||
request: LanguageModelRequest,
|
||||
cx: &App,
|
||||
) -> BoxFuture<'static, Result<u64>> {
|
||||
let max_token_count = self.max_token_count();
|
||||
cx.background_spawn(async move {
|
||||
let messages = super::open_ai::collect_tiktoken_messages(request);
|
||||
let model = if max_token_count >= 100_000 {
|
||||
// If the max tokens is 100k or more, it is likely the o200k_base tokenizer from gpt4o
|
||||
"gpt-4o"
|
||||
} else {
|
||||
// Otherwise fallback to gpt-4, since only cl100k_base and o200k_base are
|
||||
// supported with this tiktoken method
|
||||
"gpt-4"
|
||||
};
|
||||
tiktoken_rs::num_tokens_from_messages(model, &messages).map(|tokens| tokens as u64)
|
||||
})
|
||||
.boxed()
|
||||
}
|
||||
|
||||
fn stream_completion(
|
||||
&self,
|
||||
request: LanguageModelRequest,
|
||||
cx: &AsyncApp,
|
||||
) -> BoxFuture<
|
||||
'static,
|
||||
Result<
|
||||
futures::stream::BoxStream<
|
||||
'static,
|
||||
Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,
|
||||
>,
|
||||
LanguageModelCompletionError,
|
||||
>,
|
||||
> {
|
||||
let request = into_open_ai(request, &self.model.name, true, self.max_output_tokens());
|
||||
let completions = self.stream_completion(request, cx);
|
||||
async move {
|
||||
let mapper = OpenAiEventMapper::new();
|
||||
Ok(mapper.map_stream(completions.await?).boxed())
|
||||
}
|
||||
.boxed()
|
||||
}
|
||||
}
|
||||
|
||||
struct ConfigurationView {
|
||||
api_key_editor: Entity<SingleLineInput>,
|
||||
state: gpui::Entity<State>,
|
||||
load_credentials_task: Option<Task<()>>,
|
||||
}
|
||||
|
||||
impl ConfigurationView {
|
||||
fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
|
||||
let api_key_editor = cx.new(|cx| {
|
||||
SingleLineInput::new(
|
||||
window,
|
||||
cx,
|
||||
"000000000000000000000000000000000000000000000000000",
|
||||
)
|
||||
});
|
||||
|
||||
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)
|
||||
.editor()
|
||||
.read(cx)
|
||||
.text(cx)
|
||||
.trim()
|
||||
.to_string();
|
||||
|
||||
// Don't proceed if no API key is provided and we're not authenticated
|
||||
if api_key.is_empty() && !self.state.read(cx).is_authenticated() {
|
||||
return;
|
||||
}
|
||||
|
||||
let state = self.state.clone();
|
||||
cx.spawn_in(window, async move |_, cx| {
|
||||
state
|
||||
.update(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, |input, cx| {
|
||||
input.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.reset_api_key(cx))?.await
|
||||
})
|
||||
.detach_and_log_err(cx);
|
||||
|
||||
cx.notify();
|
||||
}
|
||||
|
||||
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_from_env;
|
||||
let env_var_name = self.state.read(cx).env_var_name.clone();
|
||||
|
||||
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 assistant with an OpenAI compatible provider, you need to add an API key."))
|
||||
.child(
|
||||
div()
|
||||
.pt(DynamicSpacing::Base04.rems(cx))
|
||||
.child(self.api_key_editor.clone())
|
||||
)
|
||||
.child(
|
||||
Label::new(
|
||||
format!("You can also assign the {env_var_name} environment variable and restart Zed."),
|
||||
)
|
||||
.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 {env_var_name} environment variable.")
|
||||
} else {
|
||||
"API key configured.".to_string()
|
||||
})),
|
||||
)
|
||||
.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 {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()
|
||||
}
|
||||
}
|
||||
}
|
|
@ -1,4 +1,7 @@
|
|||
use std::sync::Arc;
|
||||
|
||||
use anyhow::Result;
|
||||
use collections::HashMap;
|
||||
use gpui::App;
|
||||
use schemars::JsonSchema;
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
@ -15,13 +18,14 @@ use crate::provider::{
|
|||
mistral::MistralSettings,
|
||||
ollama::OllamaSettings,
|
||||
open_ai::OpenAiSettings,
|
||||
open_ai_compatible::OpenAiCompatibleSettings,
|
||||
open_router::OpenRouterSettings,
|
||||
vercel::VercelSettings,
|
||||
x_ai::XAiSettings,
|
||||
};
|
||||
|
||||
/// Initializes the language model settings.
|
||||
pub fn init(cx: &mut App) {
|
||||
pub fn init_settings(cx: &mut App) {
|
||||
AllLanguageModelSettings::register(cx);
|
||||
}
|
||||
|
||||
|
@ -36,6 +40,7 @@ pub struct AllLanguageModelSettings {
|
|||
pub ollama: OllamaSettings,
|
||||
pub open_router: OpenRouterSettings,
|
||||
pub openai: OpenAiSettings,
|
||||
pub openai_compatible: HashMap<Arc<str>, OpenAiCompatibleSettings>,
|
||||
pub vercel: VercelSettings,
|
||||
pub x_ai: XAiSettings,
|
||||
pub zed_dot_dev: ZedDotDevSettings,
|
||||
|
@ -52,6 +57,7 @@ pub struct AllLanguageModelSettingsContent {
|
|||
pub ollama: Option<OllamaSettingsContent>,
|
||||
pub open_router: Option<OpenRouterSettingsContent>,
|
||||
pub openai: Option<OpenAiSettingsContent>,
|
||||
pub openai_compatible: Option<HashMap<Arc<str>, OpenAiCompatibleSettingsContent>>,
|
||||
pub vercel: Option<VercelSettingsContent>,
|
||||
pub x_ai: Option<XAiSettingsContent>,
|
||||
#[serde(rename = "zed.dev")]
|
||||
|
@ -103,6 +109,12 @@ pub struct OpenAiSettingsContent {
|
|||
pub available_models: Option<Vec<provider::open_ai::AvailableModel>>,
|
||||
}
|
||||
|
||||
#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
|
||||
pub struct OpenAiCompatibleSettingsContent {
|
||||
pub api_url: String,
|
||||
pub available_models: Vec<provider::open_ai_compatible::AvailableModel>,
|
||||
}
|
||||
|
||||
#[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
|
||||
pub struct VercelSettingsContent {
|
||||
pub api_url: Option<String>,
|
||||
|
@ -226,6 +238,19 @@ impl settings::Settings for AllLanguageModelSettings {
|
|||
openai.as_ref().and_then(|s| s.available_models.clone()),
|
||||
);
|
||||
|
||||
// OpenAI Compatible
|
||||
if let Some(openai_compatible) = value.openai_compatible.clone() {
|
||||
for (id, openai_compatible_settings) in openai_compatible {
|
||||
settings.openai_compatible.insert(
|
||||
id,
|
||||
OpenAiCompatibleSettings {
|
||||
api_url: openai_compatible_settings.api_url,
|
||||
available_models: openai_compatible_settings.available_models,
|
||||
},
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// Vercel
|
||||
let vercel = value.vercel.clone();
|
||||
merge(
|
||||
|
|
|
@ -93,6 +93,7 @@ impl RenderOnce for Modal {
|
|||
#[derive(IntoElement)]
|
||||
pub struct ModalHeader {
|
||||
headline: Option<SharedString>,
|
||||
description: Option<SharedString>,
|
||||
children: SmallVec<[AnyElement; 2]>,
|
||||
show_dismiss_button: bool,
|
||||
show_back_button: bool,
|
||||
|
@ -108,6 +109,7 @@ impl ModalHeader {
|
|||
pub fn new() -> Self {
|
||||
Self {
|
||||
headline: None,
|
||||
description: None,
|
||||
children: SmallVec::new(),
|
||||
show_dismiss_button: false,
|
||||
show_back_button: false,
|
||||
|
@ -123,6 +125,11 @@ impl ModalHeader {
|
|||
self
|
||||
}
|
||||
|
||||
pub fn description(mut self, description: impl Into<SharedString>) -> Self {
|
||||
self.description = Some(description.into());
|
||||
self
|
||||
}
|
||||
|
||||
pub fn show_dismiss_button(mut self, show: bool) -> Self {
|
||||
self.show_dismiss_button = show;
|
||||
self
|
||||
|
@ -171,7 +178,14 @@ impl RenderOnce for ModalHeader {
|
|||
}),
|
||||
)
|
||||
})
|
||||
.child(div().flex_1().children(children))
|
||||
.child(
|
||||
v_flex().flex_1().children(children).when_some(
|
||||
self.description,
|
||||
|this, description| {
|
||||
this.child(Label::new(description).color(Color::Muted).mb_2())
|
||||
},
|
||||
),
|
||||
)
|
||||
.when(self.show_dismiss_button, |this| {
|
||||
this.child(
|
||||
IconButton::new("dismiss", IconName::Close)
|
||||
|
|
|
@ -97,6 +97,10 @@ impl SingleLineInput {
|
|||
pub fn editor(&self) -> &Entity<Editor> {
|
||||
&self.editor
|
||||
}
|
||||
|
||||
pub fn text(&self, cx: &App) -> String {
|
||||
self.editor().read(cx).text(cx)
|
||||
}
|
||||
}
|
||||
|
||||
impl Render for SingleLineInput {
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue