yenru0/zed
1
0 Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
adb3533890057e9dee7cf35bfd5c322c0285c650
zed/crates/opencode/src/opencode.rs
T
grimBen BrandtBennet Bo Fenner
 adb3533890 agent: Add Opencode Zen provider (#49589) 
Before you mark this PR as ready for review, make sure that you have:
- [x] Added a solid test coverage and/or screenshots from doing manual
testing
- [x] Done a self-review taking into account security and performance
aspects
- [x] Aligned any UI changes with the [UI
checklist](https://github.com/zed-industries/zed/blob/main/CONTRIBUTING.md#uiux-checklist)

Per Opencode's website:
> Zen gives you access to a curated set of AI models that OpenCode has
tested and benchmarked specifically for coding agents. No need to worry
about inconsistent performance and quality, use validated models that
work.
> - [x] Testing select models and consulting their teams
> - [x] Working with providers to ensure they're delivered properly
> - [x] Benchmarking all model-provider combinations we recommend

There are so many models available, but only a few work well with coding
agents. Most providers configure them differently with varying results.

The models under the Zen umbrella typically have a more reliable
token(s) per second speed with minimal outages. The opencode ecosystem
has improved my workflow if not many others' !

Release Notes:
- Added [Opencode Zen](https://opencode.ai/zen) to list of providers

---------

Co-authored-by: Ben Brandt <benjamin.j.brandt@gmail.com>
Co-authored-by: Bennet Bo Fenner <bennetbo@gmx.de>
2026-03-23 12:48:49 +00:00

454 lines
15 KiB
Rust
Raw Blame History

use anyhow::{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 strum::EnumIter;
pub const OPENCODE_API_URL: &str = "https://opencode.ai/zen";
#[derive(Clone, Copy, Debug, Default, PartialEq, Eq, Serialize, Deserialize)]
#[cfg_attr(feature = "schemars", derive(schemars::JsonSchema))]
#[serde(rename_all = "snake_case")]
pub enum ApiProtocol {
#[default]
Anthropic,
OpenAiResponses,
OpenAiChat,
Google,
}
#[cfg_attr(feature = "schemars", derive(schemars::JsonSchema))]
#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq, EnumIter)]
pub enum Model {
// -- Anthropic protocol models --
#[serde(rename = "claude-opus-4-6")]
ClaudeOpus4_6,
#[serde(rename = "claude-opus-4-5")]
ClaudeOpus4_5,
#[serde(rename = "claude-opus-4-1")]
ClaudeOpus4_1,
#[default]
#[serde(rename = "claude-sonnet-4-6")]
ClaudeSonnet4_6,
#[serde(rename = "claude-sonnet-4-5")]
ClaudeSonnet4_5,
#[serde(rename = "claude-sonnet-4")]
ClaudeSonnet4,
#[serde(rename = "claude-haiku-4-5")]
ClaudeHaiku4_5,
#[serde(rename = "claude-3-5-haiku")]
Claude3_5Haiku,
// -- OpenAI Responses API models --
#[serde(rename = "gpt-5.4")]
Gpt5_4,
#[serde(rename = "gpt-5.4-pro")]
Gpt5_4Pro,
#[serde(rename = "gpt-5.4-mini")]
Gpt5_4Mini,
#[serde(rename = "gpt-5.4-nano")]
Gpt5_4Nano,
#[serde(rename = "gpt-5.3-codex")]
Gpt5_3Codex,
#[serde(rename = "gpt-5.3-codex-spark")]
Gpt5_3Spark,
#[serde(rename = "gpt-5.2")]
Gpt5_2,
#[serde(rename = "gpt-5.2-codex")]
Gpt5_2Codex,
#[serde(rename = "gpt-5.1")]
Gpt5_1,
#[serde(rename = "gpt-5.1-codex")]
Gpt5_1Codex,
#[serde(rename = "gpt-5.1-codex-max")]
Gpt5_1CodexMax,
#[serde(rename = "gpt-5.1-codex-mini")]
Gpt5_1CodexMini,
#[serde(rename = "gpt-5")]
Gpt5,
#[serde(rename = "gpt-5-codex")]
Gpt5Codex,
#[serde(rename = "gpt-5-nano")]
Gpt5Nano,
// -- Google protocol models --
#[serde(rename = "gemini-3.1-pro")]
Gemini3_1Pro,
#[serde(rename = "gemini-3-flash")]
Gemini3Flash,
// -- OpenAI Chat Completions protocol models --
#[serde(rename = "minimax-m2.5")]
MiniMaxM2_5,
#[serde(rename = "minimax-m2.5-free")]
MiniMaxM2_5Free,
#[serde(rename = "glm-5")]
Glm5,
#[serde(rename = "kimi-k2.5")]
KimiK2_5,
#[serde(rename = "mimo-v2-pro-free")]
MimoV2ProFree,
#[serde(rename = "mimo-v2-omni-free")]
MimoV2OmniFree,
#[serde(rename = "mimo-v2-flash-free")]
MimoV2FlashFree,
#[serde(rename = "trinity-large-preview-free")]
TrinityLargePreviewFree,
#[serde(rename = "big-pickle")]
BigPickle,
#[serde(rename = "nemotron-3-super-free")]
Nemotron3SuperFree,
// -- Custom model --
#[serde(rename = "custom")]
Custom {
name: String,
display_name: Option<String>,
max_tokens: u64,
max_output_tokens: Option<u64>,
protocol: ApiProtocol,
},
}
impl Model {
pub fn default_fast() -> Self {
Self::ClaudeHaiku4_5
}
pub fn id(&self) -> &str {
match self {
Self::ClaudeOpus4_6 => "claude-opus-4-6",
Self::ClaudeOpus4_5 => "claude-opus-4-5",
Self::ClaudeOpus4_1 => "claude-opus-4-1",
Self::ClaudeSonnet4_6 => "claude-sonnet-4-6",
Self::ClaudeSonnet4_5 => "claude-sonnet-4-5",
Self::ClaudeSonnet4 => "claude-sonnet-4",
Self::ClaudeHaiku4_5 => "claude-haiku-4-5",
Self::Claude3_5Haiku => "claude-3-5-haiku",
Self::Gpt5_4 => "gpt-5.4",
Self::Gpt5_4Pro => "gpt-5.4-pro",
Self::Gpt5_4Mini => "gpt-5.4-mini",
Self::Gpt5_4Nano => "gpt-5.4-nano",
Self::Gpt5_3Codex => "gpt-5.3-codex",
Self::Gpt5_3Spark => "gpt-5.3-codex-spark",
Self::Gpt5_2 => "gpt-5.2",
Self::Gpt5_2Codex => "gpt-5.2-codex",
Self::Gpt5_1 => "gpt-5.1",
Self::Gpt5_1Codex => "gpt-5.1-codex",
Self::Gpt5_1CodexMax => "gpt-5.1-codex-max",
Self::Gpt5_1CodexMini => "gpt-5.1-codex-mini",
Self::Gpt5 => "gpt-5",
Self::Gpt5Codex => "gpt-5-codex",
Self::Gpt5Nano => "gpt-5-nano",
Self::Gemini3_1Pro => "gemini-3.1-pro",
Self::Gemini3Flash => "gemini-3-flash",
Self::MiniMaxM2_5 => "minimax-m2.5",
Self::MiniMaxM2_5Free => "minimax-m2.5-free",
Self::Glm5 => "glm-5",
Self::KimiK2_5 => "kimi-k2.5",
Self::MimoV2ProFree => "mimo-v2-pro-free",
Self::MimoV2OmniFree => "mimo-v2-omni-free",
Self::MimoV2FlashFree => "mimo-v2-flash-free",
Self::TrinityLargePreviewFree => "trinity-large-preview-free",
Self::BigPickle => "big-pickle",
Self::Nemotron3SuperFree => "nemotron-3-super-free",
Self::Custom { name, .. } => name,
}
}
pub fn display_name(&self) -> &str {
match self {
Self::ClaudeOpus4_6 => "Claude Opus 4.6",
Self::ClaudeOpus4_5 => "Claude Opus 4.5",
Self::ClaudeOpus4_1 => "Claude Opus 4.1",
Self::ClaudeSonnet4_6 => "Claude Sonnet 4.6",
Self::ClaudeSonnet4_5 => "Claude Sonnet 4.5",
Self::ClaudeSonnet4 => "Claude Sonnet 4",
Self::ClaudeHaiku4_5 => "Claude Haiku 4.5",
Self::Claude3_5Haiku => "Claude Haiku 3.5",
Self::Gpt5_4 => "GPT 5.4",
Self::Gpt5_4Pro => "GPT 5.4 Pro",
Self::Gpt5_4Mini => "GPT 5.4 Mini",
Self::Gpt5_4Nano => "GPT 5.4 Nano",
Self::Gpt5_3Codex => "GPT 5.3 Codex",
Self::Gpt5_3Spark => "GPT 5.3 Codex Spark",
Self::Gpt5_2 => "GPT 5.2",
Self::Gpt5_2Codex => "GPT 5.2 Codex",
Self::Gpt5_1 => "GPT 5.1",
Self::Gpt5_1Codex => "GPT 5.1 Codex",
Self::Gpt5_1CodexMax => "GPT 5.1 Codex Max",
Self::Gpt5_1CodexMini => "GPT 5.1 Codex Mini",
Self::Gpt5 => "GPT 5",
Self::Gpt5Codex => "GPT 5 Codex",
Self::Gpt5Nano => "GPT 5 Nano",
Self::Gemini3_1Pro => "Gemini 3.1 Pro",
Self::Gemini3Flash => "Gemini 3 Flash",
Self::MiniMaxM2_5 => "MiniMax M2.5",
Self::MiniMaxM2_5Free => "MiniMax M2.5 Free",
Self::Glm5 => "GLM 5",
Self::KimiK2_5 => "Kimi K2.5",
Self::MimoV2ProFree => "MiMo V2 Pro Free",
Self::MimoV2OmniFree => "MiMo V2 Omni Free",
Self::MimoV2FlashFree => "MiMo V2 Flash Free",
Self::TrinityLargePreviewFree => "Trinity Large Preview Free",
Self::BigPickle => "Big Pickle",
Self::Nemotron3SuperFree => "Nemotron 3 Super Free",
Self::Custom {
name, display_name, ..
} => display_name.as_deref().unwrap_or(name),
}
}
pub fn protocol(&self) -> ApiProtocol {
match self {
Self::ClaudeOpus4_6
| Self::ClaudeOpus4_5
| Self::ClaudeOpus4_1
| Self::ClaudeSonnet4_6
| Self::ClaudeSonnet4_5
| Self::ClaudeSonnet4
| Self::ClaudeHaiku4_5
| Self::Claude3_5Haiku => ApiProtocol::Anthropic,
Self::Gpt5_4
| Self::Gpt5_4Pro
| Self::Gpt5_4Mini
| Self::Gpt5_4Nano
| Self::Gpt5_3Codex
| Self::Gpt5_3Spark
| Self::Gpt5_2
| Self::Gpt5_2Codex
| Self::Gpt5_1
| Self::Gpt5_1Codex
| Self::Gpt5_1CodexMax
| Self::Gpt5_1CodexMini
| Self::Gpt5
| Self::Gpt5Codex
| Self::Gpt5Nano => ApiProtocol::OpenAiResponses,
Self::Gemini3_1Pro | Self::Gemini3Flash => ApiProtocol::Google,
Self::MiniMaxM2_5
| Self::MiniMaxM2_5Free
| Self::Glm5
| Self::KimiK2_5
| Self::MimoV2ProFree
| Self::MimoV2OmniFree
| Self::MimoV2FlashFree
| Self::TrinityLargePreviewFree
| Self::BigPickle
| Self::Nemotron3SuperFree => ApiProtocol::OpenAiChat,
Self::Custom { protocol, .. } => *protocol,
}
}
pub fn max_token_count(&self) -> u64 {
match self {
// Anthropic models
Self::ClaudeOpus4_6 | Self::ClaudeSonnet4_6 => 1_000_000,
Self::ClaudeOpus4_5 | Self::ClaudeSonnet4_5 | Self::ClaudeSonnet4 => 200_000,
Self::ClaudeOpus4_1 => 200_000,
Self::ClaudeHaiku4_5 => 200_000,
Self::Claude3_5Haiku => 200_000,
// OpenAI models
Self::Gpt5_4 | Self::Gpt5_4Pro => 1_050_000,
Self::Gpt5_4Mini | Self::Gpt5_4Nano => 400_000,
Self::Gpt5_3Codex => 400_000,
Self::Gpt5_3Spark => 128_000,
Self::Gpt5_2 | Self::Gpt5_2Codex => 400_000,
Self::Gpt5_1 | Self::Gpt5_1Codex | Self::Gpt5_1CodexMax | Self::Gpt5_1CodexMini => {
400_000
}
Self::Gpt5 | Self::Gpt5Codex | Self::Gpt5Nano => 400_000,
// Google models
Self::Gemini3_1Pro => 1_048_576,
Self::Gemini3Flash => 1_048_576,
// OpenAI-compatible models
Self::MiniMaxM2_5 | Self::MiniMaxM2_5Free => 196_608,
Self::Glm5 => 200_000,
Self::KimiK2_5 => 262_144,
Self::MimoV2ProFree => 1_048_576,
Self::MimoV2OmniFree | Self::MimoV2FlashFree => 262_144,
Self::TrinityLargePreviewFree => 131_072,
Self::BigPickle => 200_000,
Self::Nemotron3SuperFree => 262_144,
Self::Custom { max_tokens, .. } => *max_tokens,
}
}
pub fn max_output_tokens(&self) -> Option<u64> {
match self {
// Anthropic models
Self::ClaudeOpus4_6 => Some(128_000),
Self::ClaudeSonnet4_6 => Some(64_000),
Self::ClaudeOpus4_5
| Self::ClaudeOpus4_1
| Self::ClaudeSonnet4_5
| Self::ClaudeSonnet4
| Self::ClaudeHaiku4_5 => Some(64_000),
Self::Claude3_5Haiku => Some(8_192),
// OpenAI models
Self::Gpt5_4
| Self::Gpt5_4Pro
| Self::Gpt5_4Mini
| Self::Gpt5_4Nano
| Self::Gpt5_3Codex
| Self::Gpt5_3Spark
| Self::Gpt5_2
| Self::Gpt5_2Codex
| Self::Gpt5_1
| Self::Gpt5_1Codex
| Self::Gpt5_1CodexMax
| Self::Gpt5_1CodexMini
| Self::Gpt5
| Self::Gpt5Codex
| Self::Gpt5Nano => Some(128_000),
// Google models
Self::Gemini3_1Pro | Self::Gemini3Flash => Some(65_536),
// OpenAI-compatible models
Self::MiniMaxM2_5 | Self::MiniMaxM2_5Free => Some(65_536),
Self::Glm5 | Self::BigPickle => Some(128_000),
Self::KimiK2_5 => Some(65_536),
Self::MimoV2ProFree => Some(131_072),
Self::MimoV2OmniFree | Self::MimoV2FlashFree => Some(65_536),
Self::TrinityLargePreviewFree | Self::Nemotron3SuperFree => Some(16_384),
Self::Custom {
max_output_tokens, ..
} => *max_output_tokens,
}
}
pub fn supports_tools(&self) -> bool {
true
}
pub fn supports_images(&self) -> bool {
match self {
// Anthropic models support images
Self::ClaudeOpus4_6
| Self::ClaudeOpus4_5
| Self::ClaudeOpus4_1
| Self::ClaudeSonnet4_6
| Self::ClaudeSonnet4_5
| Self::ClaudeSonnet4
| Self::ClaudeHaiku4_5
| Self::Claude3_5Haiku => true,
// OpenAI models support images
Self::Gpt5_4
| Self::Gpt5_4Pro
| Self::Gpt5_4Mini
| Self::Gpt5_4Nano
| Self::Gpt5_3Codex
| Self::Gpt5_3Spark
| Self::Gpt5_2
| Self::Gpt5_2Codex
| Self::Gpt5_1
| Self::Gpt5_1Codex
| Self::Gpt5_1CodexMax
| Self::Gpt5_1CodexMini
| Self::Gpt5
| Self::Gpt5Codex
| Self::Gpt5Nano => true,
// Google models support images
Self::Gemini3_1Pro | Self::Gemini3Flash => true,
// OpenAI-compatible models — conservative default
Self::MiniMaxM2_5
| Self::MiniMaxM2_5Free
| Self::Glm5
| Self::KimiK2_5
| Self::MimoV2ProFree
| Self::MimoV2OmniFree
| Self::MimoV2FlashFree
| Self::TrinityLargePreviewFree
| Self::BigPickle
| Self::Nemotron3SuperFree => false,
Self::Custom { protocol, .. } => matches!(
protocol,
ApiProtocol::Anthropic
| ApiProtocol::OpenAiResponses
| ApiProtocol::OpenAiChat
| ApiProtocol::Google
),
}
}
}
/// Stream generate content for Google models via OpenCode Zen.
///
/// Unlike `google_ai::stream_generate_content()`, this uses:
/// - `/v1/models/{model}` path (not `/v1beta/models/{model}`)
/// - `Authorization: Bearer` header (not `key=` query param)
pub async fn stream_generate_content_zen(
client: &dyn HttpClient,
api_url: &str,
api_key: &str,
request: google_ai::GenerateContentRequest,
) -> Result<BoxStream<'static, Result<google_ai::GenerateContentResponse>>> {
let api_key = api_key.trim();
let model_id = &request.model.model_id;
let uri = format!("{api_url}/v1/models/{model_id}:streamGenerateContent?alt=sse");
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) => {
if let Some(line) = line.strip_prefix("data: ") {
match serde_json::from_str(line) {
Ok(response) => Some(Ok(response)),
Err(error) => {
Some(Err(anyhow!("Error parsing JSON: {error:?}\n{line:?}")))
}
}
} else {
None
}
}
Err(error) => Some(Err(anyhow!(error))),
}
})
.boxed())
} else {
let mut text = String::new();
response.body_mut().read_to_string(&mut text).await?;
Err(anyhow!(
"error during streamGenerateContent via OpenCode Zen, status code: {:?}, body: {}",
response.status(),
text
))
}
}
Reference in new issue View Git Blame Copy Permalink