feat: streaming (SSE) end-to-end

- Provider::chat_stream; OpenAI provider streams via stream_options.include_usage
- pipeline.run_stream: shared route/select, failover before first byte
- /v1/chat/completions forwards SSE verbatim with X-Cortiq-* headers; usage tapped for stats
- admin /test/stream + live streaming in Playground (stream toggle, 7 langs)
This commit is contained in:
infosave2007
2026-06-30 16:37:35 +03:00
parent 3d71b03788
commit 70d8cde258
17 changed files with 483 additions and 64 deletions
+10
View File
@@ -3,6 +3,16 @@
All notable changes to this project are documented here.
The format is based on [Keep a Changelog](https://keepachangelog.com/).
## [Unreleased]
### Added
- **Streaming (SSE)** end-to-end: `POST /v1/chat/completions` with `"stream": true`
forwards provider SSE chunks verbatim, with `X-Cortiq-*` routing headers and token
usage tapped from the final chunk for statistics. Failover applies before the first
byte. Live streaming output in the admin Playground (`/admin/api/test/stream`).
- Cross-platform Windows binaries in releases (`x86_64-pc-windows-msvc`) and a
cross-platform CI test matrix (ubuntu/windows/macos); secure token RNG via `getrandom`.
## [0.1.0] - 2026-06-30
### Added
Generated
+23
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@@ -76,6 +76,28 @@ dependencies = [
"rustversion",
]
[[package]]
name = "async-stream"
version = "0.3.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0b5a71a6f37880a80d1d7f19efd781e4b5de42c88f0722cc13bcb6cc2cfe8476"
dependencies = [
"async-stream-impl",
"futures-core",
"pin-project-lite",
]
[[package]]
name = "async-stream-impl"
version = "0.3.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c7c24de15d275a1ecfd47a380fb4d5ec9bfe0933f309ed5e705b775596a3574d"
dependencies = [
"proc-macro2",
"quote",
"syn",
]
[[package]]
name = "async-trait"
version = "0.1.89"
@@ -267,6 +289,7 @@ version = "0.1.0"
dependencies = [
"anyhow",
"arc-swap",
"async-stream",
"async-trait",
"axum",
"bytes",
+1
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@@ -48,6 +48,7 @@ getrandom = "0.2"
# streaming / async utils
futures = "0.3"
async-trait = "0.1"
async-stream = "0.3"
bytes = "1"
tokio-stream = "0.1"
+36
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@@ -165,6 +165,7 @@ pub fn api_routes(admin_token: String) -> Router<SharedState> {
.route("/admin/api/stats", get(get_stats))
.route("/admin/api/requests", get(get_requests))
.route("/admin/api/test", post(run_test))
.route("/admin/api/test/stream", post(run_test_stream))
.route_layer(middleware::from_fn(move |req: Request, next: Next| {
let expected = admin_token.clone();
async move { auth(expected, req, next).await }
@@ -753,3 +754,38 @@ async fn run_test(State(state): State<SharedState>, Json(b): Json<TestBody>) ->
Err(e) => ok(json!({ "ok": false, "latency_ms": latency_ms, "error": e.to_string() })),
}
}
/// Streaming playground: forwards provider SSE chunks; routing decision is exposed
/// via X-Cortiq-* response headers (the SPA reads them after the stream ends).
async fn run_test_stream(State(state): State<SharedState>, Json(b): Json<TestBody>) -> Response {
if b.messages.is_empty() {
return ApiError::bad("messages must not be empty").into_response();
}
let req = ChatRequest {
routing: parse_routing(&b.model),
messages: b.messages,
tools: vec![],
params: GenParams {
temperature: b.temperature,
max_tokens: b.max_tokens,
..Default::default()
},
stream: true,
meta: RequestMeta {
account: "playground".into(),
protocol: "playground".into(),
..Default::default()
},
};
match state.pipeline.run_stream(req, &state).await {
Ok((info, stream)) => {
let mut headers = crate::protocols::openai_chat::cortiq_headers(&info);
headers.insert(
header::CONTENT_TYPE,
axum::http::HeaderValue::from_static("text/event-stream"),
);
(headers, axum::body::Body::from_stream(stream)).into_response()
}
Err(e) => ApiError::bad(e.to_string()).into_response(),
}
}
+224 -3
View File
@@ -79,9 +79,13 @@ impl Pipeline {
result
}
async fn run_inner(&self, req: ChatRequest, state: &SharedState) -> Result<ChatResponse> {
let live = state.live();
/// Stages 1–3: extract text → route → select & capability-filter candidates.
/// Shared by both the non-streaming and streaming paths.
async fn resolve(
&self,
req: &ChatRequest,
live: &crate::state::Live,
) -> Result<(RouteDecision, String, Vec<String>)> {
// 1. Extract text for classification
let text = self.extract_text(
&req.messages,
@@ -159,6 +163,12 @@ impl Pipeline {
.to_string(),
));
}
Ok((decision, route_source, final_candidates))
}
async fn run_inner(&self, req: ChatRequest, state: &SharedState) -> Result<ChatResponse> {
let live = state.live();
let (decision, route_source, final_candidates) = self.resolve(&req, &live).await?;
// 4. Attempt provider call with failover (fall back to alternatives on error)
let mut last_err = None;
@@ -210,6 +220,89 @@ impl Pipeline {
}))
}
/// Streaming variant: returns the routing metadata plus a stream of SSE byte
/// chunks (OpenAI wire format). Failover applies only before the first byte —
/// once the upstream stream has started it cannot be retried. Statistics are
/// recorded when the stream completes (tokens taken from the final usage chunk).
pub async fn run_stream(
&self,
req: ChatRequest,
state: &SharedState,
) -> Result<(RouteInfo, crate::providers::ChatStream)> {
let started = Instant::now();
let account = req.meta.account.clone();
let protocol = req.meta.protocol.clone();
let directive = match &req.routing {
RoutingDirective::Pinned { .. } => "pinned",
RoutingDirective::Auto { .. } => "auto",
}
.to_string();
let live = state.live();
let (decision, route_source, final_candidates) = match self.resolve(&req, &live).await {
Ok(t) => t,
Err(e) => {
record_error(state, &account, &protocol, &directive, started, &e);
return Err(e);
}
};
let mut last_err = None;
let mut attempt = 0usize;
for model_id in final_candidates {
let provider = match live.registry.get(&model_id) {
Some(p) => p,
None => continue,
};
tracing::info!(
"Streaming request (label: {}, tier: {}) to model '{}' via source '{}'",
decision.task_label,
decision.complexity_tier,
model_id,
route_source
);
match provider.chat_stream(req.clone()).await {
Ok(stream) => {
let info = RouteInfo {
task_label: decision.task_label.clone(),
complexity_score: decision.complexity_score,
complexity_tier: decision.complexity_tier.clone(),
selected_model: model_id,
route_source: route_source.clone(),
router_request_id: decision.router_request_id.clone(),
cost_usd: 0.0,
failover: attempt > 0,
};
let tapped = tap_stream(
stream,
state.stats.clone(),
provider.clone(),
info.clone(),
account,
protocol,
directive,
started,
);
return Ok((info, Box::pin(tapped)));
}
Err(err) => {
tracing::warn!(
"Provider '{}' stream failed: {:?}. Attempting failover...",
model_id,
err
);
last_err = Some(err);
attempt += 1;
}
}
}
let e = last_err.unwrap_or_else(|| {
GatewayError::UpstreamUnavailable("All candidate models failed".to_string())
});
record_error(state, &account, &protocol, &directive, started, &e);
Err(e)
}
fn extract_text(&self, messages: &[Message], strategy: &str, max_chars: usize) -> String {
let raw_text = match strategy {
"last_user" => messages
@@ -249,3 +342,131 @@ impl Pipeline {
}
}
}
fn now_secs() -> u64 {
SystemTime::now()
.duration_since(UNIX_EPOCH)
.unwrap_or_default()
.as_secs()
}
fn record_error(
state: &SharedState,
account: &str,
protocol: &str,
directive: &str,
started: Instant,
e: &GatewayError,
) {
state.stats.record(RequestRecord {
ts: now_secs(),
account: account.to_string(),
protocol: protocol.to_string(),
directive: directive.to_string(),
task_label: String::new(),
tier: String::new(),
score: 0.0,
model_id: String::new(),
route_source: String::new(),
prompt_tokens: 0,
completion_tokens: 0,
cost_usd: 0.0,
latency_ms: started.elapsed().as_millis() as u64,
outcome: "error".to_string(),
failover: false,
error: Some(e.to_string()),
});
}
/// Forward a provider SSE stream to the client verbatim while tapping the final
/// `usage` chunk; record statistics when the stream completes.
#[allow(clippy::too_many_arguments)]
fn tap_stream(
inner: crate::providers::ChatStream,
stats: std::sync::Arc<crate::stats::Stats>,
provider: std::sync::Arc<dyn crate::providers::Provider>,
info: RouteInfo,
account: String,
protocol: String,
directive: String,
started: Instant,
) -> impl futures::Stream<Item = Result<bytes::Bytes>> {
use futures::StreamExt;
async_stream::stream! {
let mut inner = inner;
let mut buf = String::new();
let mut prompt_tokens = 0u32;
let mut completion_tokens = 0u32;
let mut got_usage = false;
let mut delta_chars = 0usize;
let mut errored: Option<String> = None;
while let Some(item) = inner.next().await {
match &item {
Ok(bytes) => {
if let Ok(s) = std::str::from_utf8(bytes) {
buf.push_str(s);
while let Some(idx) = buf.find("\n\n") {
let evt: String = buf.drain(..idx + 2).collect();
for line in evt.lines() {
if let Some(data) = line.trim_start().strip_prefix("data:") {
let data = data.trim();
if data.is_empty() || data == "[DONE]" {
continue;
}
if let Ok(v) =
serde_json::from_str::<serde_json::Value>(data)
{
let u = &v["usage"];
if !u.is_null() {
prompt_tokens = u["prompt_tokens"]
.as_u64()
.unwrap_or(prompt_tokens as u64)
as u32;
completion_tokens = u["completion_tokens"]
.as_u64()
.unwrap_or(completion_tokens as u64)
as u32;
got_usage = true;
}
if let Some(c) =
v["choices"][0]["delta"]["content"].as_str()
{
delta_chars += c.chars().count();
}
}
}
}
}
}
}
Err(e) => errored = Some(e.to_string()),
}
yield item;
}
if !got_usage && completion_tokens == 0 {
// estimate when the server didn't return usage (~4 chars per token)
completion_tokens = (delta_chars / 4) as u32;
}
let cost = provider.price(prompt_tokens, completion_tokens);
stats.record(RequestRecord {
ts: now_secs(),
account,
protocol,
directive,
task_label: info.task_label.clone(),
tier: info.complexity_tier.clone(),
score: info.complexity_score,
model_id: info.selected_model.clone(),
route_source: info.route_source.clone(),
prompt_tokens,
completion_tokens,
cost_usd: cost,
latency_ms: started.elapsed().as_millis() as u64,
outcome: if errored.is_some() { "error" } else { "ok" }.to_string(),
failover: info.failover,
error: errored,
});
}
}
+42 -45
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@@ -3,11 +3,37 @@
//! to the pipeline, then converts the canonical [`ChatResponse`] back to OpenAI format.
use crate::error::{GatewayError, Result};
use crate::model::{ChatRequest, GenParams, Message, RequestMeta, RoutingDirective};
use crate::model::{ChatRequest, GenParams, Message, RequestMeta, RouteInfo, RoutingDirective};
use crate::state::SharedState;
use axum::response::{IntoResponse, Response};
use axum::{extract::State, routing::post, Json, Router};
use serde::Deserialize;
/// Build the `X-Cortiq-*` response headers from routing metadata.
pub(crate) fn cortiq_headers(c: &RouteInfo) -> axum::http::HeaderMap {
use axum::http::{HeaderMap, HeaderValue};
fn put(h: &mut HeaderMap, k: &'static str, v: &str) {
if let Ok(val) = HeaderValue::from_str(v) {
h.insert(k, val);
}
}
let mut h = HeaderMap::new();
put(&mut h, "X-Cortiq-Task-Label", &c.task_label);
put(
&mut h,
"X-Cortiq-Complexity-Score",
&c.complexity_score.to_string(),
);
put(&mut h, "X-Cortiq-Complexity-Tier", &c.complexity_tier);
put(&mut h, "X-Cortiq-Selected-Model", &c.selected_model);
put(&mut h, "X-Cortiq-Route-Source", &c.route_source);
put(&mut h, "X-Cortiq-Cost-Usd", &c.cost_usd.to_string());
if let Some(id) = &c.router_request_id {
put(&mut h, "X-Cortiq-Request-Id", id);
}
h
}
pub fn routes() -> Router<SharedState> {
Router::new().route("/v1/chat/completions", post(handler))
}
@@ -46,7 +72,7 @@ fn parse_routing(model: &str) -> RoutingDirective {
async fn handler(
State(state): State<SharedState>,
Json(req): Json<OpenAiChatRequest>,
) -> Result<impl axum::response::IntoResponse> {
) -> Result<Response> {
// hot protocol toggle: if the adapter is disabled in config — return 404
if !state.live().cfg.protocols.openai_chat {
return Err(GatewayError::InvalidRequest(
@@ -77,52 +103,23 @@ async fn handler(
},
};
// streaming: forward provider SSE chunks verbatim with X-Cortiq-* headers
if req.stream {
return Err(GatewayError::InvalidRequest(
"Streaming is not yet supported in this version".into(),
));
let (info, stream) = state.pipeline.run_stream(canonical, &state).await?;
let mut headers = cortiq_headers(&info);
headers.insert(
axum::http::header::CONTENT_TYPE,
axum::http::HeaderValue::from_static("text/event-stream"),
);
headers.insert(
axum::http::header::CACHE_CONTROL,
axum::http::HeaderValue::from_static("no-cache"),
);
return Ok((headers, axum::body::Body::from_stream(stream)).into_response());
}
let resp = state.pipeline.run(canonical, &state).await?;
let mut headers = axum::http::HeaderMap::new();
headers.insert(
"X-Cortiq-Task-Label",
axum::http::HeaderValue::from_str(&resp.cortiq.task_label)
.unwrap_or(axum::http::HeaderValue::from_static("")),
);
headers.insert(
"X-Cortiq-Complexity-Score",
axum::http::HeaderValue::from_str(&resp.cortiq.complexity_score.to_string())
.unwrap_or(axum::http::HeaderValue::from_static("0.0")),
);
headers.insert(
"X-Cortiq-Complexity-Tier",
axum::http::HeaderValue::from_str(&resp.cortiq.complexity_tier)
.unwrap_or(axum::http::HeaderValue::from_static("")),
);
headers.insert(
"X-Cortiq-Selected-Model",
axum::http::HeaderValue::from_str(&resp.cortiq.selected_model)
.unwrap_or(axum::http::HeaderValue::from_static("")),
);
headers.insert(
"X-Cortiq-Route-Source",
axum::http::HeaderValue::from_str(&resp.cortiq.route_source)
.unwrap_or(axum::http::HeaderValue::from_static("")),
);
headers.insert(
"X-Cortiq-Cost-Usd",
axum::http::HeaderValue::from_str(&resp.cortiq.cost_usd.to_string())
.unwrap_or(axum::http::HeaderValue::from_static("0.0")),
);
if let Some(req_id) = &resp.cortiq.router_request_id {
headers.insert(
"X-Cortiq-Request-Id",
axum::http::HeaderValue::from_str(req_id)
.unwrap_or(axum::http::HeaderValue::from_static("")),
);
}
let headers = cortiq_headers(&resp.cortiq);
let mut body = serde_json::json!({
"id": resp.id,
@@ -164,5 +161,5 @@ async fn handler(
});
}
Ok((headers, Json(body)))
Ok((headers, Json(body)).into_response())
}
+17 -2
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@@ -7,8 +7,16 @@
pub mod anthropic;
pub mod openai;
use crate::error::GatewayError;
use crate::model::{ChatRequest, ChatResponse};
use async_trait::async_trait;
use bytes::Bytes;
use futures::stream::BoxStream;
/// A streaming chat response: raw Server-Sent-Events byte chunks in OpenAI wire
/// format (`data: {json}\n\n` … `data: [DONE]\n\n`). The gateway forwards these
/// to the client verbatim while tapping the final `usage` for statistics.
pub type ChatStream = BoxStream<'static, crate::error::Result<Bytes>>;
/// Model capabilities — checked at selection time (whether tools/vision are needed).
#[derive(Clone, Debug, Default)]
@@ -41,6 +49,13 @@ pub trait Provider: Send + Sync {
/// Non-streaming chat call.
async fn chat(&self, req: ChatRequest) -> crate::error::Result<ChatResponse>;
// TODO(v0.1): async fn chat_stream(...) -> Result<ChatStream> (SSE).
// TODO(v0.1): async fn embed(...) -> Result<EmbedResponse>.
/// Streaming chat call (SSE). Default: not supported (override per provider).
async fn chat_stream(&self, _req: ChatRequest) -> crate::error::Result<ChatStream> {
Err(GatewayError::UpstreamUnavailable(format!(
"streaming is not supported by provider '{}'",
self.id()
)))
}
// TODO(v0.2): async fn embed(...) -> Result<EmbedResponse>.
}
+31
View File
@@ -154,4 +154,35 @@ impl Provider for OpenAiProvider {
},
})
}
async fn chat_stream(&self, req: ChatRequest) -> Result<super::ChatStream> {
use futures::StreamExt;
let mut body = self.to_wire(&req);
body["stream"] = serde_json::Value::Bool(true);
// ask OpenAI-compatible servers to include token usage in the final chunk
body["stream_options"] = serde_json::json!({ "include_usage": true });
let mut r = self
.http
.post(format!("{}/chat/completions", self.base_url))
.json(&body);
if let Some(key) = &self.api_key {
r = r.bearer_auth(key);
}
let resp = r
.send()
.await
.map_err(|e| GatewayError::UpstreamUnavailable(e.to_string()))?;
if !resp.status().is_success() {
let status = resp.status();
let err_body = resp.text().await.unwrap_or_default();
return Err(GatewayError::UpstreamUnavailable(format!(
"provider {} returned HTTP {}: {}",
self.id, status, err_body
)));
}
let stream = resp
.bytes_stream()
.map(|res| res.map_err(|e| GatewayError::UpstreamUnavailable(e.to_string())));
Ok(Box::pin(stream))
}
}
+48
View File
@@ -91,3 +91,51 @@ export const api = {
// playground
test: (b) => j("POST", "/test", b),
};
// Streaming playground: POST /test/stream, calls onDelta(text) per content chunk,
// returns the routing decision read from X-Cortiq-* response headers.
export async function testStream(body, onDelta) {
const r = await fetch(BASE + "/test/stream", {
method: "POST",
headers: { Authorization: "Bearer " + getToken(), "content-type": "application/json" },
body: JSON.stringify(body),
});
if (r.status === 401) {
if (onUnauthorized) onUnauthorized();
throw new Error("unauthorized");
}
if (!r.ok || !r.body) {
throw new Error((await r.text()) || r.statusText);
}
const reader = r.body.getReader();
const dec = new TextDecoder();
let buf = "";
for (;;) {
const { done, value } = await reader.read();
if (done) break;
buf += dec.decode(value, { stream: true });
let idx;
while ((idx = buf.indexOf("\n\n")) >= 0) {
const line = buf.slice(0, idx).split("\n").find((l) => l.startsWith("data:"));
buf = buf.slice(idx + 2);
if (!line) continue;
const data = line.slice(5).trim();
if (!data || data === "[DONE]") continue;
try {
const d = JSON.parse(data).choices?.[0]?.delta?.content;
if (d) onDelta(d);
} catch {
/* ignore malformed chunk */
}
}
}
const h = r.headers;
return {
task_label: h.get("x-cortiq-task-label") || "",
tier: h.get("x-cortiq-complexity-tier") || "",
score: parseFloat(h.get("x-cortiq-complexity-score") || "0"),
selected_model: h.get("x-cortiq-selected-model") || "",
route_source: h.get("x-cortiq-route-source") || "",
cost_usd: parseFloat(h.get("x-cortiq-cost-usd") || "0"),
};
}
+1
View File
@@ -200,6 +200,7 @@ export default {
"pg.temp": "Temperatur",
"pg.maxTokens": "Max. Tokens",
"pg.send": "Senden",
"pg.stream": "Streamen",
"pg.sending": "Wird gesendet…",
"pg.answer": "Antwort",
"pg.empty": "Antwort und Routing-Entscheidung erscheinen hier.",
+1
View File
@@ -201,6 +201,7 @@ export default {
"pg.temp": "Temperature",
"pg.maxTokens": "Max tokens",
"pg.send": "Send",
"pg.stream": "Stream",
"pg.sending": "Sending…",
"pg.answer": "Answer",
"pg.empty": "The answer and routing decision will appear here.",
+1
View File
@@ -200,6 +200,7 @@ export default {
"pg.temp": "Temperatura",
"pg.maxTokens": "Tokens máx.",
"pg.send": "Enviar",
"pg.stream": "Streaming",
"pg.sending": "Enviando…",
"pg.answer": "Respuesta",
"pg.empty": "La respuesta y la decisión de enrutamiento aparecerán aquí.",
+1
View File
@@ -200,6 +200,7 @@ export default {
"pg.temp": "Température",
"pg.maxTokens": "Tokens max",
"pg.send": "Envoyer",
"pg.stream": "Streaming",
"pg.sending": "Envoi…",
"pg.answer": "Réponse",
"pg.empty": "La réponse et la décision de routage s'afficheront ici.",
+1
View File
@@ -200,6 +200,7 @@ export default {
"pg.temp": "Температура",
"pg.maxTokens": "Макс. токены",
"pg.send": "Отправить",
"pg.stream": "Стриминг",
"pg.sending": "Отправка…",
"pg.answer": "Ответ",
"pg.empty": "Ответ и решение роутера появятся здесь.",
+1
View File
@@ -200,6 +200,7 @@ export default {
"pg.temp": "Sıcaklık",
"pg.maxTokens": "Maks. token",
"pg.send": "Gönder",
"pg.stream": "Akış",
"pg.sending": "Gönderiliyor…",
"pg.answer": "Yanıt",
"pg.empty": "Yanıt ve yönlendirme kararı burada görünecek.",
+1
View File
@@ -200,6 +200,7 @@ export default {
"pg.temp": "温度",
"pg.maxTokens": "最大 Token 数",
"pg.send": "发送",
"pg.stream": "流式",
"pg.sending": "发送中…",
"pg.answer": "回答",
"pg.empty": "回答和路由决策将在此显示。",
+44 -14
View File
@@ -1,7 +1,7 @@
// Playground — send a prompt through the live pipeline, inspect routing decision.
import { h, mount, money, ms, num } from "../ui.js";
import { h, mount, money, ms } from "../ui.js";
import { t } from "../i18n.js";
import { api } from "../api.js";
import { api, testStream } from "../api.js";
import { appState } from "../app.js";
export async function renderPlayground() {
@@ -16,6 +16,7 @@ export async function renderPlayground() {
const promptIn = h("textarea", { placeholder: t("pg.promptPlaceholder"), rows: 5 });
const tempIn = h("input", { type: "number", step: "0.1", value: 0.7 });
const maxTokIn = h("input", { type: "number", value: 512 });
const streamCb = h("input", { type: "checkbox", checked: true });
const profileSel = h("select", {}, ...(meta.profiles || []).map((p) => h("option", { value: p }, p)));
const modelSel = h("select", {}, ...ids.map((id) => h("option", { value: id }, id)));
@@ -62,19 +63,43 @@ export async function renderPlayground() {
sendBtn.disabled = true;
sendBtn.textContent = t("pg.sending");
mount(out, h("div", { class: "flex" }, h("span", { class: "spinner" }), " ", t("pg.sending")));
const body = {
model,
messages,
temperature: parseFloat(tempIn.value),
max_tokens: parseInt(maxTokIn.value) || null,
};
try {
const r = await api.test({
model,
messages,
temperature: parseFloat(tempIn.value),
max_tokens: parseInt(maxTokIn.value) || null,
});
if (r.ok) {
mount(out, r.answer || h("span", { class: "muted" }, "—"));
renderDecision(r);
if (streamCb.checked) {
const started = performance.now();
let acc = "";
out.textContent = "";
const info = await testStream(body, (d) => {
acc += d;
out.textContent = acc;
});
out.textContent = acc || "—";
renderDecision({
cortiq: {
task_label: info.task_label,
complexity: { score: info.score, tier: info.tier },
selected_model: info.selected_model,
route_source: info.route_source,
cost_usd: info.cost_usd,
failover: false,
},
usage: {},
latency_ms: Math.round(performance.now() - started),
});
} else {
mount(out, h("div", { class: "callout" }, h("b", {}, t("pg.error") + ": "), r.error || ""));
mount(decision, h("div", { class: "card-head" }, h("h3", {}, t("pg.decision"))), h("div", { class: "empty" }, "—"));
const r = await api.test(body);
if (r.ok) {
mount(out, r.answer || h("span", { class: "muted" }, "—"));
renderDecision(r);
} else {
mount(out, h("div", { class: "callout" }, h("b", {}, t("pg.error") + ": "), r.error || ""));
mount(decision, h("div", { class: "card-head" }, h("h3", {}, t("pg.decision"))), h("div", { class: "empty" }, "—"));
}
}
} catch (e) {
mount(out, h("div", { class: "callout" }, String(e.message || e)));
@@ -126,7 +151,12 @@ export async function renderPlayground() {
h("label", { class: "field" }, h("span", {}, t("pg.mode")), modeSeg),
modeExtra,
h("div", { class: "row" }, h("label", { class: "field" }, h("span", {}, t("pg.temp")), tempIn), h("label", { class: "field" }, h("span", {}, t("pg.maxTokens")), maxTokIn)),
h("div", { class: "flex", style: "justify-content:flex-end" }, sendBtn)
h(
"div",
{ class: "flex", style: "justify-content:space-between" },
h("label", { class: "check", style: "margin:0" }, streamCb, t("pg.stream")),
sendBtn
)
),
h("div", { class: "card" }, h("div", { class: "card-head" }, h("h3", {}, t("pg.answer"))), out)
),