Add support for Vercel as a language model provider (#33292)

Vercel v0 is an OpenAI-compatible model, so this is mostly a dupe of the
OpenAI provider files with some adaptations for v0, including going
ahead and using the custom endpoint for the API URL field.

Release Notes:

- Added support for Vercel as a language model provider.
This commit is contained in:
Danilo Leal 2025-06-24 11:02:06 -03:00 committed by GitHub
parent 0d70bcb88c
commit 94735aef69
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12 changed files with 1394 additions and 0 deletions

26
crates/vercel/Cargo.toml Normal file
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[package]
name = "vercel"
version = "0.1.0"
edition.workspace = true
publish.workspace = true
license = "GPL-3.0-or-later"
[lints]
workspace = true
[lib]
path = "src/vercel.rs"
[features]
default = []
schemars = ["dep:schemars"]
[dependencies]
anyhow.workspace = true
futures.workspace = true
http_client.workspace = true
schemars = { workspace = true, optional = true }
serde.workspace = true
serde_json.workspace = true
strum.workspace = true
workspace-hack.workspace = true

1
crates/vercel/LICENSE-GPL Symbolic link
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../../LICENSE-GPL

438
crates/vercel/src/vercel.rs Normal file
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use anyhow::{Context as _, Result, anyhow};
use futures::{AsyncBufReadExt, AsyncReadExt, StreamExt, io::BufReader, stream::BoxStream};
use http_client::{AsyncBody, HttpClient, Method, Request as HttpRequest};
use serde::{Deserialize, Serialize};
use serde_json::Value;
use std::{convert::TryFrom, future::Future};
use strum::EnumIter;
pub const VERCEL_API_URL: &str = "https://api.v0.dev/v1";
fn is_none_or_empty<T: AsRef<[U]>, U>(opt: &Option<T>) -> bool {
opt.as_ref().map_or(true, |v| v.as_ref().is_empty())
}
#[derive(Clone, Copy, Serialize, Deserialize, Debug, Eq, PartialEq)]
#[serde(rename_all = "lowercase")]
pub enum Role {
User,
Assistant,
System,
Tool,
}
impl TryFrom<String> for Role {
type Error = anyhow::Error;
fn try_from(value: String) -> Result<Self> {
match value.as_str() {
"user" => Ok(Self::User),
"assistant" => Ok(Self::Assistant),
"system" => Ok(Self::System),
"tool" => Ok(Self::Tool),
_ => anyhow::bail!("invalid role '{value}'"),
}
}
}
impl From<Role> for String {
fn from(val: Role) -> Self {
match val {
Role::User => "user".to_owned(),
Role::Assistant => "assistant".to_owned(),
Role::System => "system".to_owned(),
Role::Tool => "tool".to_owned(),
}
}
}
#[cfg_attr(feature = "schemars", derive(schemars::JsonSchema))]
#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq, EnumIter)]
pub enum Model {
#[serde(rename = "v-0")]
#[default]
VZero,
#[serde(rename = "custom")]
Custom {
name: String,
/// The name displayed in the UI, such as in the assistant panel model dropdown menu.
display_name: Option<String>,
max_tokens: u64,
max_output_tokens: Option<u64>,
max_completion_tokens: Option<u64>,
},
}
impl Model {
pub fn default_fast() -> Self {
Self::VZero
}
pub fn from_id(id: &str) -> Result<Self> {
match id {
"v-0" => Ok(Self::VZero),
invalid_id => anyhow::bail!("invalid model id '{invalid_id}'"),
}
}
pub fn id(&self) -> &str {
match self {
Self::VZero => "v-0",
Self::Custom { name, .. } => name,
}
}
pub fn display_name(&self) -> &str {
match self {
Self::VZero => "Vercel v0",
Self::Custom {
name, display_name, ..
} => display_name.as_ref().unwrap_or(name),
}
}
pub fn max_token_count(&self) -> u64 {
match self {
Self::VZero => 128_000,
Self::Custom { max_tokens, .. } => *max_tokens,
}
}
pub fn max_output_tokens(&self) -> Option<u64> {
match self {
Self::Custom {
max_output_tokens, ..
} => *max_output_tokens,
Self::VZero => Some(32_768),
}
}
/// Returns whether the given model supports the `parallel_tool_calls` parameter.
///
/// If the model does not support the parameter, do not pass it up, or the API will return an error.
pub fn supports_parallel_tool_calls(&self) -> bool {
match self {
Self::VZero => true,
Model::Custom { .. } => false,
}
}
}
#[derive(Debug, Serialize, Deserialize)]
pub struct Request {
pub model: String,
pub messages: Vec<RequestMessage>,
pub stream: bool,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub max_completion_tokens: Option<u64>,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
pub stop: Vec<String>,
pub temperature: f32,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub tool_choice: Option<ToolChoice>,
/// Whether to enable parallel function calling during tool use.
#[serde(default, skip_serializing_if = "Option::is_none")]
pub parallel_tool_calls: Option<bool>,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
pub tools: Vec<ToolDefinition>,
}
#[derive(Debug, Serialize, Deserialize)]
#[serde(untagged)]
pub enum ToolChoice {
Auto,
Required,
None,
Other(ToolDefinition),
}
#[derive(Clone, Deserialize, Serialize, Debug)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum ToolDefinition {
#[allow(dead_code)]
Function { function: FunctionDefinition },
}
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct FunctionDefinition {
pub name: String,
pub description: Option<String>,
pub parameters: Option<Value>,
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
#[serde(tag = "role", rename_all = "lowercase")]
pub enum RequestMessage {
Assistant {
content: Option<MessageContent>,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
tool_calls: Vec<ToolCall>,
},
User {
content: MessageContent,
},
System {
content: MessageContent,
},
Tool {
content: MessageContent,
tool_call_id: String,
},
}
#[derive(Serialize, Deserialize, Clone, Debug, Eq, PartialEq)]
#[serde(untagged)]
pub enum MessageContent {
Plain(String),
Multipart(Vec<MessagePart>),
}
impl MessageContent {
pub fn empty() -> Self {
MessageContent::Multipart(vec![])
}
pub fn push_part(&mut self, part: MessagePart) {
match self {
MessageContent::Plain(text) => {
*self =
MessageContent::Multipart(vec![MessagePart::Text { text: text.clone() }, part]);
}
MessageContent::Multipart(parts) if parts.is_empty() => match part {
MessagePart::Text { text } => *self = MessageContent::Plain(text),
MessagePart::Image { .. } => *self = MessageContent::Multipart(vec![part]),
},
MessageContent::Multipart(parts) => parts.push(part),
}
}
}
impl From<Vec<MessagePart>> for MessageContent {
fn from(mut parts: Vec<MessagePart>) -> Self {
if let [MessagePart::Text { text }] = parts.as_mut_slice() {
MessageContent::Plain(std::mem::take(text))
} else {
MessageContent::Multipart(parts)
}
}
}
#[derive(Serialize, Deserialize, Clone, Debug, Eq, PartialEq)]
#[serde(tag = "type")]
pub enum MessagePart {
#[serde(rename = "text")]
Text { text: String },
#[serde(rename = "image_url")]
Image { image_url: ImageUrl },
}
#[derive(Serialize, Deserialize, Clone, Debug, Eq, PartialEq)]
pub struct ImageUrl {
pub url: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub detail: Option<String>,
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct ToolCall {
pub id: String,
#[serde(flatten)]
pub content: ToolCallContent,
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
#[serde(tag = "type", rename_all = "lowercase")]
pub enum ToolCallContent {
Function { function: FunctionContent },
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct FunctionContent {
pub name: String,
pub arguments: String,
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct ResponseMessageDelta {
pub role: Option<Role>,
pub content: Option<String>,
#[serde(default, skip_serializing_if = "is_none_or_empty")]
pub tool_calls: Option<Vec<ToolCallChunk>>,
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct ToolCallChunk {
pub index: usize,
pub id: Option<String>,
// There is also an optional `type` field that would determine if a
// function is there. Sometimes this streams in with the `function` before
// it streams in the `type`
pub function: Option<FunctionChunk>,
}
#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct FunctionChunk {
pub name: Option<String>,
pub arguments: Option<String>,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct Usage {
pub prompt_tokens: u32,
pub completion_tokens: u32,
pub total_tokens: u32,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct ChoiceDelta {
pub index: u32,
pub delta: ResponseMessageDelta,
pub finish_reason: Option<String>,
}
#[derive(Serialize, Deserialize, Debug)]
#[serde(untagged)]
pub enum ResponseStreamResult {
Ok(ResponseStreamEvent),
Err { error: String },
}
#[derive(Serialize, Deserialize, Debug)]
pub struct ResponseStreamEvent {
pub model: String,
pub choices: Vec<ChoiceDelta>,
pub usage: Option<Usage>,
}
pub async fn stream_completion(
client: &dyn HttpClient,
api_url: &str,
api_key: &str,
request: Request,
) -> Result<BoxStream<'static, Result<ResponseStreamEvent>>> {
let uri = format!("{api_url}/chat/completions");
let request_builder = HttpRequest::builder()
.method(Method::POST)
.uri(uri)
.header("Content-Type", "application/json")
.header("Authorization", format!("Bearer {}", api_key));
let request = request_builder.body(AsyncBody::from(serde_json::to_string(&request)?))?;
let mut response = client.send(request).await?;
if response.status().is_success() {
let reader = BufReader::new(response.into_body());
Ok(reader
.lines()
.filter_map(|line| async move {
match line {
Ok(line) => {
let line = line.strip_prefix("data: ")?;
if line == "[DONE]" {
None
} else {
match serde_json::from_str(line) {
Ok(ResponseStreamResult::Ok(response)) => Some(Ok(response)),
Ok(ResponseStreamResult::Err { error }) => {
Some(Err(anyhow!(error)))
}
Err(error) => Some(Err(anyhow!(error))),
}
}
}
Err(error) => Some(Err(anyhow!(error))),
}
})
.boxed())
} else {
let mut body = String::new();
response.body_mut().read_to_string(&mut body).await?;
#[derive(Deserialize)]
struct VercelResponse {
error: VercelError,
}
#[derive(Deserialize)]
struct VercelError {
message: String,
}
match serde_json::from_str::<VercelResponse>(&body) {
Ok(response) if !response.error.message.is_empty() => Err(anyhow!(
"Failed to connect to Vercel API: {}",
response.error.message,
)),
_ => anyhow::bail!(
"Failed to connect to Vercel API: {} {}",
response.status(),
body,
),
}
}
}
#[derive(Copy, Clone, Serialize, Deserialize)]
pub enum VercelEmbeddingModel {
#[serde(rename = "text-embedding-3-small")]
TextEmbedding3Small,
#[serde(rename = "text-embedding-3-large")]
TextEmbedding3Large,
}
#[derive(Serialize)]
struct VercelEmbeddingRequest<'a> {
model: VercelEmbeddingModel,
input: Vec<&'a str>,
}
#[derive(Deserialize)]
pub struct VercelEmbeddingResponse {
pub data: Vec<VercelEmbedding>,
}
#[derive(Deserialize)]
pub struct VercelEmbedding {
pub embedding: Vec<f32>,
}
pub fn embed<'a>(
client: &dyn HttpClient,
api_url: &str,
api_key: &str,
model: VercelEmbeddingModel,
texts: impl IntoIterator<Item = &'a str>,
) -> impl 'static + Future<Output = Result<VercelEmbeddingResponse>> {
let uri = format!("{api_url}/embeddings");
let request = VercelEmbeddingRequest {
model,
input: texts.into_iter().collect(),
};
let body = AsyncBody::from(serde_json::to_string(&request).unwrap());
let request = HttpRequest::builder()
.method(Method::POST)
.uri(uri)
.header("Content-Type", "application/json")
.header("Authorization", format!("Bearer {}", api_key))
.body(body)
.map(|request| client.send(request));
async move {
let mut response = request?.await?;
let mut body = String::new();
response.body_mut().read_to_string(&mut body).await?;
anyhow::ensure!(
response.status().is_success(),
"error during embedding, status: {:?}, body: {:?}",
response.status(),
body
);
let response: VercelEmbeddingResponse =
serde_json::from_str(&body).context("failed to parse Vercel embedding response")?;
Ok(response)
}
}