Add support for OpenRouter as a language model provider (#29496)

This pull request adds full integration with OpenRouter, allowing users
to access a wide variety of language models through a single API key.

**Implementation Details:**

* **Provider Registration:** Registers OpenRouter as a new language
model provider within the application's model registry. This includes UI
for API key authentication, token counting, streaming completions, and
tool-call handling.
* **Dedicated Crate:** Adds a new `open_router` crate to manage
interactions with the OpenRouter HTTP API, including model discovery and
streaming helpers.
* **UI & Configuration:** Extends workspace manifests, the settings
schema, icons, and default configurations to surface the OpenRouter
provider and its settings within the UI.
* **Readability:** Reformats JSON arrays within the settings files for
improved readability.

**Design Decisions & Discussion Points:**

* **Code Reuse:** I leveraged much of the existing logic from the
`openai` provider integration due to the significant similarities
between the OpenAI and OpenRouter API specifications.
* **Default Model:** I set the default model to `openrouter/auto`. This
model automatically routes user prompts to the most suitable underlying
model on OpenRouter, providing a convenient starting point.
* **Model Population Strategy:**
* <strike>I've implemented dynamic population of available models by
querying the OpenRouter API upon initialization.
* Currently, this involves three separate API calls: one for all models,
one for tool-use models, and one for models good at programming.
* The data from the tool-use API call sets a `tool_use` flag for
relevant models.
* The data from the programming models API call is used to sort the
list, prioritizing coding-focused models in the dropdown.</strike>
* <strike>**Feedback Welcome:** I acknowledge this multi-call approach
is API-intensive. I am open to feedback and alternative implementation
suggestions if the team believes this can be optimized.</strike>
    * **Update: Now this has been simplified to one api call.**
* **UI/UX Considerations:**
* <strike>Authentication Method: Currently, I've implemented the
standard API key input in settings, similar to other providers like
OpenAI/Anthropic. However, OpenRouter also supports OAuth 2.0 with PKCE.
This could offer a potentially smoother, more integrated setup
experience for users (e.g., clicking a button to authorize instead of
copy-pasting a key). Should we prioritize implementing OAuth PKCE now,
or perhaps add it as an alternative option later?</strike>(PKCE is not
straight forward and complicated so skipping this for now. So that we
can add the support and work on this later.)
* <strike>To visually distinguish models better suited for programming,
I've considered adding a marker (e.g., `</>` or `🧠`) next to their
names. Thoughts on this proposal?</strike>. (This will require a changes
and discussion across model provider. This doesn't fall under the scope
of current PR).
* OpenRouter offers 300+ models. The current implementation loads all of
them. **Feedback Needed:** Should we refine this list or implement more
sophisticated filtering/categorization for better usability?

**Motivation:**

This integration directly addresses one of the most highly upvoted
feature requests/discussions within the Zed community. Adding OpenRouter
support significantly expands the range of AI models accessible to
users.

I welcome feedback from the Zed team on this implementation and the
design choices made. I am eager to refine this feature and make it
available to users.

ISSUES: https://github.com/zed-industries/zed/discussions/16576

Release Notes:

- Added support for OpenRouter as a language model provider.

---------

Signed-off-by: Umesh Yadav <umesh4257@gmail.com>
Co-authored-by: Marshall Bowers <git@maxdeviant.com>
This commit is contained in:
Umesh Yadav 2025-06-03 21:29:46 +05:30 committed by GitHub
parent e13b494c9e
commit c9c603b1d1
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14 changed files with 1356 additions and 0 deletions

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[package]
name = "open_router"
version = "0.1.0"
edition.workspace = true
publish.workspace = true
license = "GPL-3.0-or-later"
[lints]
workspace = true
[lib]
path = "src/open_router.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
workspace-hack.workspace = true

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../../LICENSE-GPL

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use anyhow::{Context, 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;
pub const OPEN_ROUTER_API_URL: &str = "https://openrouter.ai/api/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),
_ => Err(anyhow!("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)]
pub struct Model {
pub name: String,
pub display_name: Option<String>,
pub max_tokens: usize,
pub supports_tools: Option<bool>,
}
impl Model {
pub fn default_fast() -> Self {
Self::new(
"openrouter/auto",
Some("Auto Router"),
Some(2000000),
Some(true),
)
}
pub fn default() -> Self {
Self::default_fast()
}
pub fn new(
name: &str,
display_name: Option<&str>,
max_tokens: Option<usize>,
supports_tools: Option<bool>,
) -> Self {
Self {
name: name.to_owned(),
display_name: display_name.map(|s| s.to_owned()),
max_tokens: max_tokens.unwrap_or(2000000),
supports_tools,
}
}
pub fn id(&self) -> &str {
&self.name
}
pub fn display_name(&self) -> &str {
self.display_name.as_ref().unwrap_or(&self.name)
}
pub fn max_token_count(&self) -> usize {
self.max_tokens
}
pub fn max_output_tokens(&self) -> Option<u32> {
None
}
pub fn supports_tool_calls(&self) -> bool {
self.supports_tools.unwrap_or(false)
}
pub fn supports_parallel_tool_calls(&self) -> bool {
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_tokens: Option<u32>,
#[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>,
#[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),
}
#[cfg_attr(feature = "schemars", derive(schemars::JsonSchema))]
#[derive(Clone, Deserialize, Serialize, Debug)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum ToolDefinition {
#[allow(dead_code)]
Function { function: FunctionDefinition },
}
#[cfg_attr(feature = "schemars", derive(schemars::JsonSchema))]
#[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<String>,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
tool_calls: Vec<ToolCall>,
},
User {
content: String,
},
System {
content: String,
},
Tool {
content: String,
tool_call_id: 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>,
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)]
pub struct ResponseStreamEvent {
#[serde(default, skip_serializing_if = "Option::is_none")]
pub id: Option<String>,
pub created: u32,
pub model: String,
pub choices: Vec<ChoiceDelta>,
pub usage: Option<Usage>,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct Response {
pub id: String,
pub object: String,
pub created: u64,
pub model: String,
pub choices: Vec<Choice>,
pub usage: Usage,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct Choice {
pub index: u32,
pub message: RequestMessage,
pub finish_reason: Option<String>,
}
#[derive(Default, Debug, Clone, PartialEq, Deserialize)]
pub struct ListModelsResponse {
pub data: Vec<ModelEntry>,
}
#[derive(Default, Debug, Clone, PartialEq, Deserialize)]
pub struct ModelEntry {
pub id: String,
pub name: String,
pub created: usize,
pub description: String,
#[serde(default, skip_serializing_if = "Option::is_none")]
pub context_length: Option<usize>,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
pub supported_parameters: Vec<String>,
}
pub async fn complete(
client: &dyn HttpClient,
api_url: &str,
api_key: &str,
request: Request,
) -> Result<Response> {
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))
.header("HTTP-Referer", "https://zed.dev")
.header("X-Title", "Zed Editor");
let mut request_body = request;
request_body.stream = false;
let request = request_builder.body(AsyncBody::from(serde_json::to_string(&request_body)?))?;
let mut response = client.send(request).await?;
if response.status().is_success() {
let mut body = String::new();
response.body_mut().read_to_string(&mut body).await?;
let response: Response = serde_json::from_str(&body)?;
Ok(response)
} else {
let mut body = String::new();
response.body_mut().read_to_string(&mut body).await?;
#[derive(Deserialize)]
struct OpenRouterResponse {
error: OpenRouterError,
}
#[derive(Deserialize)]
struct OpenRouterError {
message: String,
#[serde(default)]
code: String,
}
match serde_json::from_str::<OpenRouterResponse>(&body) {
Ok(response) if !response.error.message.is_empty() => {
let error_message = if !response.error.code.is_empty() {
format!("{}: {}", response.error.code, response.error.message)
} else {
response.error.message
};
Err(anyhow!(
"Failed to connect to OpenRouter API: {}",
error_message
))
}
_ => Err(anyhow!(
"Failed to connect to OpenRouter API: {} {}",
response.status(),
body,
)),
}
}
}
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))
.header("HTTP-Referer", "https://zed.dev")
.header("X-Title", "Zed Editor");
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) => {
if line.starts_with(':') {
return None;
}
let line = line.strip_prefix("data: ")?;
if line == "[DONE]" {
None
} else {
match serde_json::from_str::<ResponseStreamEvent>(line) {
Ok(response) => Some(Ok(response)),
Err(error) => {
#[derive(Deserialize)]
struct ErrorResponse {
error: String,
}
match serde_json::from_str::<ErrorResponse>(line) {
Ok(err_response) => Some(Err(anyhow!(err_response.error))),
Err(_) => {
if line.trim().is_empty() {
None
} else {
Some(Err(anyhow!(
"Failed to parse response: {}. Original content: '{}'",
error, line
)))
}
}
}
}
}
}
}
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 OpenRouterResponse {
error: OpenRouterError,
}
#[derive(Deserialize)]
struct OpenRouterError {
message: String,
#[serde(default)]
code: String,
}
match serde_json::from_str::<OpenRouterResponse>(&body) {
Ok(response) if !response.error.message.is_empty() => {
let error_message = if !response.error.code.is_empty() {
format!("{}: {}", response.error.code, response.error.message)
} else {
response.error.message
};
Err(anyhow!(
"Failed to connect to OpenRouter API: {}",
error_message
))
}
_ => Err(anyhow!(
"Failed to connect to OpenRouter API: {} {}",
response.status(),
body,
)),
}
}
}
pub async fn list_models(client: &dyn HttpClient, api_url: &str) -> Result<Vec<Model>> {
let uri = format!("{api_url}/models");
let request_builder = HttpRequest::builder()
.method(Method::GET)
.uri(uri)
.header("Accept", "application/json");
let request = request_builder.body(AsyncBody::default())?;
let mut response = client.send(request).await?;
let mut body = String::new();
response.body_mut().read_to_string(&mut body).await?;
if response.status().is_success() {
let response: ListModelsResponse =
serde_json::from_str(&body).context("Unable to parse OpenRouter models response")?;
let models = response
.data
.into_iter()
.map(|entry| Model {
name: entry.id,
// OpenRouter returns display names in the format "provider_name: model_name".
// When displayed in the UI, these names can get truncated from the right.
// Since users typically already know the provider, we extract just the model name
// portion (after the colon) to create a more concise and user-friendly label
// for the model dropdown in the agent panel.
display_name: Some(
entry
.name
.split(':')
.next_back()
.unwrap_or(&entry.name)
.trim()
.to_string(),
),
max_tokens: entry.context_length.unwrap_or(2000000),
supports_tools: Some(entry.supported_parameters.contains(&"tools".to_string())),
})
.collect();
Ok(models)
} else {
Err(anyhow!(
"Failed to connect to OpenRouter API: {} {}",
response.status(),
body,
))
}
}