mod ambient_context;pub mod assistant_panel;pub mod assistant_settings;mod codegen;mod completion_provider;mod prompt_library;mod prompts;mod saved_conversation;mod search;mod streaming_diff; use ambient_context::AmbientContextSnapshot;pub use assistant_panel::AssistantPanel;use assistant_settings::{AnthropicModel, AssistantSettings, OpenAiModel, ZedDotDevModel};use client::{proto, Client};use command_palette_hooks::CommandPaletteFilter;pub(crate) use completion_provider::*;use gpui::{actions, AppContext, Global, SharedString, UpdateGlobal};pub(crate) use saved_conversation::*;use serde::{Deserialize, Serialize};use settings::{Settings, SettingsStore};use std::{ fmt::{self, Display}, sync::Arc,}; actions!( assistant, [ Assist, Split, CycleMessageRole, QuoteSelection, ToggleFocus, ResetKey, InlineAssist, InsertActivePrompt, ToggleIncludeConversation, ToggleHistory, ApplyEdit ]); #[derive( Copy, Clone, Debug, Default, Eq, PartialEq, PartialOrd, Ord, Hash, Serialize, Deserialize,)]struct MessageId(usize); #[derive(Clone, Copy, Serialize, Deserialize, Debug, Eq, PartialEq)]#[serde(rename_all = "lowercase")]pub enum Role { User, Assistant, System,} impl Role { pub fn cycle(&mut self) { *self = match self { Role::User => Role::Assistant, Role::Assistant => Role::System, Role::System => Role::User, } }} impl Display for Role { fn fmt(&self, f: &mut fmt::Formatter<'_>) -> std::fmt::Result { match self { Role::User => write!(f, "user"), Role::Assistant => write!(f, "assistant"), Role::System => write!(f, "system"), } }} #[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]pub enum LanguageModel { ZedDotDev(ZedDotDevModel), OpenAi(OpenAiModel), Anthropic(AnthropicModel),} impl Default for LanguageModel { fn default() -> Self { LanguageModel::ZedDotDev(ZedDotDevModel::default()) }} impl LanguageModel { pub fn telemetry_id(&self) -> String { match self { LanguageModel::OpenAi(model) => format!("openai/{}", model.id()), LanguageModel::Anthropic(model) => format!("anthropic/{}", model.id()), LanguageModel::ZedDotDev(model) => format!("zed.dev/{}", model.id()), } } pub fn display_name(&self) -> String { match self { LanguageModel::OpenAi(model) => model.display_name().into(), LanguageModel::Anthropic(model) => model.display_name().into(), LanguageModel::ZedDotDev(model) => model.display_name().into(), } } pub fn max_token_count(&self) -> usize { match self { LanguageModel::OpenAi(model) => model.max_token_count(), LanguageModel::Anthropic(model) => model.max_token_count(), LanguageModel::ZedDotDev(model) => model.max_token_count(), } } pub fn id(&self) -> &str { match self { LanguageModel::OpenAi(model) => model.id(), LanguageModel::Anthropic(model) => model.id(), LanguageModel::ZedDotDev(model) => model.id(), } }} #[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]pub struct LanguageModelRequestMessage { pub role: Role, pub content: String,} impl LanguageModelRequestMessage { pub fn to_proto(&self) -> proto::LanguageModelRequestMessage { proto::LanguageModelRequestMessage { role: match self.role { Role::User => proto::LanguageModelRole::LanguageModelUser, Role::Assistant => proto::LanguageModelRole::LanguageModelAssistant, Role::System => proto::LanguageModelRole::LanguageModelSystem, } as i32, content: self.content.clone(), tool_calls: Vec::new(), tool_call_id: None, } }} #[derive(Debug, Default, Serialize)]pub struct LanguageModelRequest { pub model: LanguageModel, pub messages: Vec<LanguageModelRequestMessage>, pub stop: Vec<String>, pub temperature: f32,} impl LanguageModelRequest { pub fn to_proto(&self) -> proto::CompleteWithLanguageModel { proto::CompleteWithLanguageModel { model: self.model.id().to_string(), messages: self.messages.iter().map(|m| m.to_proto()).collect(), stop: self.stop.clone(), temperature: self.temperature, tool_choice: None, tools: Vec::new(), } }} #[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]pub struct LanguageModelResponseMessage { pub role: Option<Role>, pub content: Option<String>,} #[derive(Deserialize, Debug)]pub struct LanguageModelUsage { pub prompt_tokens: u32, pub completion_tokens: u32, pub total_tokens: u32,} #[derive(Deserialize, Debug)]pub struct LanguageModelChoiceDelta { pub index: u32, pub delta: LanguageModelResponseMessage, pub finish_reason: Option<String>,} #[derive(Clone, Debug, Serialize, Deserialize)]struct MessageMetadata { role: Role, status: MessageStatus, // todo!("delete this") #[serde(skip)] ambient_context: AmbientContextSnapshot,} #[derive(Clone, Debug, Serialize, Deserialize)]enum MessageStatus { Pending, Done, Error(SharedString),} /// The state pertaining to the Assistant.#[derive(Default)]struct Assistant { /// Whether the Assistant is enabled. enabled: bool,} impl Global for Assistant {} impl Assistant { const NAMESPACE: &'static str = "assistant"; fn set_enabled(&mut self, enabled: bool, cx: &mut AppContext) { if self.enabled == enabled { return; } self.enabled = enabled; if !enabled { CommandPaletteFilter::update_global(cx, |filter, _cx| { filter.hide_namespace(Self::NAMESPACE); }); return; } CommandPaletteFilter::update_global(cx, |filter, _cx| { filter.show_namespace(Self::NAMESPACE); }); }} pub fn init(client: Arc<Client>, cx: &mut AppContext) { cx.set_global(Assistant::default()); AssistantSettings::register(cx); completion_provider::init(client, cx); assistant_panel::init(cx); CommandPaletteFilter::update_global(cx, |filter, _cx| { filter.hide_namespace(Assistant::NAMESPACE); }); Assistant::update_global(cx, |assistant, cx| { let settings = AssistantSettings::get_global(cx); assistant.set_enabled(settings.enabled, cx); }); cx.observe_global::<SettingsStore>(|cx| { Assistant::update_global(cx, |assistant, cx| { let settings = AssistantSettings::get_global(cx); assistant.set_enabled(settings.enabled, cx); }); }) .detach();} #[cfg(test)]#[ctor::ctor]fn init_logger() { if std::env::var("RUST_LOG").is_ok() { env_logger::init(); }}
mod ambient_context;
pub mod assistant_panel;
pub mod assistant_settings;
mod codegen;
mod completion_provider;
mod prompt_library;
mod prompts;
mod saved_conversation;
mod search;
mod streaming_diff;
use ambient_context::AmbientContextSnapshot;
pub use assistant_panel::AssistantPanel;
use assistant_settings::{AnthropicModel, AssistantSettings, OpenAiModel, ZedDotDevModel};
use client::{proto, Client};
use command_palette_hooks::CommandPaletteFilter;
pub(crate) use completion_provider::*;
use gpui::{actions, AppContext, Global, SharedString, UpdateGlobal};
pub(crate) use saved_conversation::*;
use serde::{Deserialize, Serialize};
use settings::{Settings, SettingsStore};
use std::{
fmt::{self, Display},
sync::Arc,
};
actions!(
assistant,
[
Assist,
Split,
CycleMessageRole,
QuoteSelection,
ToggleFocus,
ResetKey,
InlineAssist,
InsertActivePrompt,
ToggleIncludeConversation,
ToggleHistory,
ApplyEdit
]
);
#[derive(
Copy, Clone, Debug, Default, Eq, PartialEq, PartialOrd, Ord, Hash, Serialize, Deserialize,
)]
struct MessageId(usize);
#[derive(Clone, Copy, Serialize, Deserialize, Debug, Eq, PartialEq)]
#[serde(rename_all = "lowercase")]
pub enum Role {
User,
Assistant,
System,
}
impl Role {
pub fn cycle(&mut self) {
*self = match self {
Role::User => Role::Assistant,
Role::Assistant => Role::System,
Role::System => Role::User,
}
}
}
impl Display for Role {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> std::fmt::Result {
match self {
Role::User => write!(f, "user"),
Role::Assistant => write!(f, "assistant"),
Role::System => write!(f, "system"),
}
}
}
#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
pub enum LanguageModel {
ZedDotDev(ZedDotDevModel),
OpenAi(OpenAiModel),
Anthropic(AnthropicModel),
}
impl Default for LanguageModel {
fn default() -> Self {
LanguageModel::ZedDotDev(ZedDotDevModel::default())
}
}
impl LanguageModel {
pub fn telemetry_id(&self) -> String {
match self {
LanguageModel::OpenAi(model) => format!("openai/{}", model.id()),
LanguageModel::Anthropic(model) => format!("anthropic/{}", model.id()),
LanguageModel::ZedDotDev(model) => format!("zed.dev/{}", model.id()),
}
}
pub fn display_name(&self) -> String {
match self {
LanguageModel::OpenAi(model) => model.display_name().into(),
LanguageModel::Anthropic(model) => model.display_name().into(),
LanguageModel::ZedDotDev(model) => model.display_name().into(),
}
}
pub fn max_token_count(&self) -> usize {
match self {
LanguageModel::OpenAi(model) => model.max_token_count(),
LanguageModel::Anthropic(model) => model.max_token_count(),
LanguageModel::ZedDotDev(model) => model.max_token_count(),
}
}
pub fn id(&self) -> &str {
match self {
LanguageModel::OpenAi(model) => model.id(),
LanguageModel::Anthropic(model) => model.id(),
LanguageModel::ZedDotDev(model) => model.id(),
}
}
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct LanguageModelRequestMessage {
pub role: Role,
pub content: String,
}
impl LanguageModelRequestMessage {
pub fn to_proto(&self) -> proto::LanguageModelRequestMessage {
proto::LanguageModelRequestMessage {
role: match self.role {
Role::User => proto::LanguageModelRole::LanguageModelUser,
Role::Assistant => proto::LanguageModelRole::LanguageModelAssistant,
Role::System => proto::LanguageModelRole::LanguageModelSystem,
} as i32,
content: self.content.clone(),
tool_calls: Vec::new(),
tool_call_id: None,
}
}
}
#[derive(Debug, Default, Serialize)]
pub struct LanguageModelRequest {
pub model: LanguageModel,
pub messages: Vec<LanguageModelRequestMessage>,
pub stop: Vec<String>,
pub temperature: f32,
}
impl LanguageModelRequest {
pub fn to_proto(&self) -> proto::CompleteWithLanguageModel {
proto::CompleteWithLanguageModel {
model: self.model.id().to_string(),
messages: self.messages.iter().map(|m| m.to_proto()).collect(),
stop: self.stop.clone(),
temperature: self.temperature,
tool_choice: None,
tools: Vec::new(),
}
}
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct LanguageModelResponseMessage {
pub role: Option<Role>,
pub content: Option<String>,
}
#[derive(Deserialize, Debug)]
pub struct LanguageModelUsage {
pub prompt_tokens: u32,
pub completion_tokens: u32,
pub total_tokens: u32,
}
#[derive(Deserialize, Debug)]
pub struct LanguageModelChoiceDelta {
pub index: u32,
pub delta: LanguageModelResponseMessage,
pub finish_reason: Option<String>,
}
#[derive(Clone, Debug, Serialize, Deserialize)]
struct MessageMetadata {
role: Role,
status: MessageStatus,
// todo!("delete this")
#[serde(skip)]
ambient_context: AmbientContextSnapshot,
}
#[derive(Clone, Debug, Serialize, Deserialize)]
enum MessageStatus {
Pending,
Done,
Error(SharedString),
}
/// The state pertaining to the Assistant.
#[derive(Default)]
struct Assistant {
/// Whether the Assistant is enabled.
enabled: bool,
}
impl Global for Assistant {}
impl Assistant {
const NAMESPACE: &'static str = "assistant";
fn set_enabled(&mut self, enabled: bool, cx: &mut AppContext) {
if self.enabled == enabled {
return;
}
self.enabled = enabled;
if !enabled {
CommandPaletteFilter::update_global(cx, |filter, _cx| {
filter.hide_namespace(Self::NAMESPACE);
});
return;
}
CommandPaletteFilter::update_global(cx, |filter, _cx| {
filter.show_namespace(Self::NAMESPACE);
});
}
}
pub fn init(client: Arc<Client>, cx: &mut AppContext) {
cx.set_global(Assistant::default());
AssistantSettings::register(cx);
completion_provider::init(client, cx);
assistant_panel::init(cx);
CommandPaletteFilter::update_global(cx, |filter, _cx| {
filter.hide_namespace(Assistant::NAMESPACE);
});
Assistant::update_global(cx, |assistant, cx| {
let settings = AssistantSettings::get_global(cx);
assistant.set_enabled(settings.enabled, cx);
});
cx.observe_global::<SettingsStore>(|cx| {
Assistant::update_global(cx, |assistant, cx| {
let settings = AssistantSettings::get_global(cx);
assistant.set_enabled(settings.enabled, cx);
});
})
.detach();
}
#[cfg(test)]
#[ctor::ctor]
fn init_logger() {
if std::env::var("RUST_LOG").is_ok() {
env_logger::init();
}
}