ZIm/crates/language_models/src/provider/vercel.rs
Oleksiy Syvokon 2a57b160b0
openai: Don't send prompt_cache_key for OpenAI-compatible models (#36231)
Some APIs fail when they get this parameter

Closes #36215

Release Notes:

- Fixed OpenAI-compatible providers that don't support prompt caching
and/or reasoning
2025-08-15 13:54:24 +03:00

583 lines
19 KiB
Rust

use anyhow::{Context as _, Result, anyhow};
use collections::BTreeMap;
use credentials_provider::CredentialsProvider;
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, Role,
};
use menu;
use open_ai::ResponseStreamEvent;
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};
use settings::{Settings, SettingsStore};
use std::sync::Arc;
use strum::IntoEnumIterator;
use vercel::Model;
use ui::{ElevationIndex, List, Tooltip, prelude::*};
use ui_input::SingleLineInput;
use util::ResultExt;
use crate::{AllLanguageModelSettings, ui::InstructionListItem};
const PROVIDER_ID: LanguageModelProviderId = LanguageModelProviderId::new("vercel");
const PROVIDER_NAME: LanguageModelProviderName = LanguageModelProviderName::new("Vercel");
#[derive(Default, Clone, Debug, PartialEq)]
pub struct VercelSettings {
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 VercelLanguageModelProvider {
http_client: Arc<dyn HttpClient>,
state: gpui::Entity<State>,
}
pub struct State {
api_key: Option<String>,
api_key_from_env: bool,
_subscription: Subscription,
}
const VERCEL_API_KEY_VAR: &str = "VERCEL_API_KEY";
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 settings = &AllLanguageModelSettings::get_global(cx).vercel;
let api_url = if settings.api_url.is_empty() {
vercel::VERCEL_API_URL.to_string()
} else {
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 settings = &AllLanguageModelSettings::get_global(cx).vercel;
let api_url = if settings.api_url.is_empty() {
vercel::VERCEL_API_URL.to_string()
} else {
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 settings = &AllLanguageModelSettings::get_global(cx).vercel;
let api_url = if settings.api_url.is_empty() {
vercel::VERCEL_API_URL.to_string()
} else {
settings.api_url.clone()
};
cx.spawn(async move |this, cx| {
let (api_key, from_env) = if let Ok(api_key) = std::env::var(VERCEL_API_KEY_VAR) {
(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 VercelLanguageModelProvider {
pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
let state = cx.new(|cx| State {
api_key: None,
api_key_from_env: false,
_subscription: cx.observe_global::<SettingsStore>(|_this: &mut State, cx| {
cx.notify();
}),
});
Self { http_client, state }
}
fn create_language_model(&self, model: vercel::Model) -> Arc<dyn LanguageModel> {
Arc::new(VercelLanguageModel {
id: LanguageModelId::from(model.id().to_string()),
model,
state: self.state.clone(),
http_client: self.http_client.clone(),
request_limiter: RateLimiter::new(4),
})
}
}
impl LanguageModelProviderState for VercelLanguageModelProvider {
type ObservableEntity = State;
fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {
Some(self.state.clone())
}
}
impl LanguageModelProvider for VercelLanguageModelProvider {
fn id(&self) -> LanguageModelProviderId {
PROVIDER_ID
}
fn name(&self) -> LanguageModelProviderName {
PROVIDER_NAME
}
fn icon(&self) -> IconName {
IconName::AiVZero
}
fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
Some(self.create_language_model(vercel::Model::default()))
}
fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
Some(self.create_language_model(vercel::Model::default_fast()))
}
fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
let mut models = BTreeMap::default();
for model in vercel::Model::iter() {
if !matches!(model, vercel::Model::Custom { .. }) {
models.insert(model.id().to_string(), model);
}
}
for model in &AllLanguageModelSettings::get_global(cx)
.vercel
.available_models
{
models.insert(
model.name.clone(),
vercel::Model::Custom {
name: model.name.clone(),
display_name: model.display_name.clone(),
max_tokens: model.max_tokens,
max_output_tokens: model.max_output_tokens,
max_completion_tokens: model.max_completion_tokens,
},
);
}
models
.into_values()
.map(|model| self.create_language_model(model))
.collect()
}
fn is_authenticated(&self, cx: &App) -> bool {
self.state.read(cx).is_authenticated()
}
fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
self.state.update(cx, |state, cx| state.authenticate(cx))
}
fn configuration_view(&self, 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 VercelLanguageModel {
id: LanguageModelId,
model: vercel::Model,
state: gpui::Entity<State>,
http_client: Arc<dyn HttpClient>,
request_limiter: RateLimiter,
}
impl VercelLanguageModel {
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, cx| {
let settings = &AllLanguageModelSettings::get_global(cx).vercel;
let api_url = if settings.api_url.is_empty() {
vercel::VERCEL_API_URL.to_string()
} else {
settings.api_url.clone()
};
(state.api_key.clone(), api_url)
}) else {
return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
};
let future = self.request_limiter.stream(async move {
let Some(api_key) = api_key else {
return Err(LanguageModelCompletionError::NoApiKey {
provider: PROVIDER_NAME,
});
};
let request =
open_ai::stream_completion(http_client.as_ref(), &api_url, &api_key, request);
let response = request.await?;
Ok(response)
});
async move { Ok(future.await?.boxed()) }.boxed()
}
}
impl LanguageModel for VercelLanguageModel {
fn id(&self) -> LanguageModelId {
self.id.clone()
}
fn name(&self) -> LanguageModelName {
LanguageModelName::from(self.model.display_name().to_string())
}
fn provider_id(&self) -> LanguageModelProviderId {
PROVIDER_ID
}
fn provider_name(&self) -> LanguageModelProviderName {
PROVIDER_NAME
}
fn supports_tools(&self) -> bool {
true
}
fn supports_images(&self) -> bool {
true
}
fn supports_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {
match choice {
LanguageModelToolChoice::Auto
| LanguageModelToolChoice::Any
| LanguageModelToolChoice::None => true,
}
}
fn telemetry_id(&self) -> String {
format!("vercel/{}", self.model.id())
}
fn max_token_count(&self) -> u64 {
self.model.max_token_count()
}
fn max_output_tokens(&self) -> Option<u64> {
self.model.max_output_tokens()
}
fn count_tokens(
&self,
request: LanguageModelRequest,
cx: &App,
) -> BoxFuture<'static, Result<u64>> {
count_vercel_tokens(request, self.model.clone(), cx)
}
fn stream_completion(
&self,
request: LanguageModelRequest,
cx: &AsyncApp,
) -> BoxFuture<
'static,
Result<
futures::stream::BoxStream<
'static,
Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,
>,
LanguageModelCompletionError,
>,
> {
let request = crate::provider::open_ai::into_open_ai(
request,
self.model.id(),
self.model.supports_parallel_tool_calls(),
self.model.supports_prompt_cache_key(),
self.max_output_tokens(),
None,
);
let completions = self.stream_completion(request, cx);
async move {
let mapper = crate::provider::open_ai::OpenAiEventMapper::new();
Ok(mapper.map_stream(completions.await?).boxed())
}
.boxed()
}
}
pub fn count_vercel_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<_>>();
match model {
Model::Custom { max_tokens, .. } => {
let model = if max_tokens >= 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 Vercel models to appropriate OpenAI models for token counting
// since Vercel uses OpenAI-compatible API
Model::VZeroOnePointFiveMedium => {
// Vercel v0 is similar to GPT-4o, so use gpt-4o for token counting
tiktoken_rs::num_tokens_from_messages("gpt-4o", &messages)
}
}
.map(|tokens| tokens as u64)
})
.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,
"v1:0000000000000000000000000000000000000000000000000",
)
.label("API key")
});
cx.observe(&state, |_, _, cx| {
cx.notify();
})
.detach();
let load_credentials_task = Some(cx.spawn_in(window, {
let state = state.clone();
async move |this, cx| {
if let Some(task) = state
.update(cx, |state, cx| state.authenticate(cx))
.log_err()
{
// We don't log an error, because "not signed in" is also an error.
let _ = task.await;
}
this.update(cx, |this, cx| {
this.load_credentials_task = None;
cx.notify();
})
.log_err();
}
}));
Self {
api_key_editor,
state,
load_credentials_task,
}
}
fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
let api_key = self
.api_key_editor
.read(cx)
.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 api_key_section = if self.should_render_editor(cx) {
v_flex()
.on_action(cx.listener(Self::save_api_key))
.child(Label::new("To use Zed's agent with Vercel v0, you need to add an API key. Follow these steps:"))
.child(
List::new()
.child(InstructionListItem::new(
"Create one by visiting",
Some("Vercel v0's console"),
Some("https://v0.dev/chat/settings/keys"),
))
.child(InstructionListItem::text_only(
"Paste your API key below and hit enter to start using the agent",
)),
)
.child(self.api_key_editor.clone())
.child(
Label::new(format!(
"You can also assign the {VERCEL_API_KEY_VAR} environment variable and restart Zed."
))
.size(LabelSize::Small)
.color(Color::Muted),
)
.child(
Label::new("Note that Vercel v0 is a custom OpenAI-compatible provider.")
.size(LabelSize::Small)
.color(Color::Muted),
)
.into_any()
} else {
h_flex()
.mt_1()
.p_1()
.justify_between()
.rounded_md()
.border_1()
.border_color(cx.theme().colors().border)
.bg(cx.theme().colors().background)
.child(
h_flex()
.gap_1()
.child(Icon::new(IconName::Check).color(Color::Success))
.child(Label::new(if env_var_set {
format!("API key set in {VERCEL_API_KEY_VAR} 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 {VERCEL_API_KEY_VAR} 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()
}
}
}