feat: Anthropic provider/inbound + embeddings

- Anthropic outbound provider: /v1/messages, system extraction, x-api-key +
  anthropic-version; streaming translates Anthropic SSE -> unified OpenAI wire format
- Anthropic inbound adapter (POST /v1/messages): non-streaming JSON + streaming SSE
  (OpenAI -> Anthropic event translation)
- Embeddings: POST /v1/embeddings inbound + Provider::embed(); embedding models
  resolvable from the pool (registry no longer skips them)
- protocols mounted always, gated on live flags; admin meta marks them implemented

CHANGELOG.md

@@ -12,6 +12,13 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/).
   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`.
+- **Anthropic provider** (outbound): `POST /v1/messages` with `system` extraction,
+  `x-api-key` + `anthropic-version` headers, and streaming that translates Anthropic
+  SSE events into the unified OpenAI wire format.
+- **Anthropic inbound** adapter: `POST /v1/messages` (non-streaming JSON and streaming
+  SSE), so Claude-native clients can target the gateway.
+- **Embeddings**: `POST /v1/embeddings` inbound + provider `embed()`; embedding models
+  are now resolvable from the pool.
 
 ## [0.1.0] - 2026-06-30
 

src/admin/mod.rs

@@ -271,7 +271,7 @@ async fn meta() -> ApiResult {
     ok(json!({
         "version": env!("CARGO_PKG_VERSION"),
         "providers": ["openai", "anthropic", "ollama", "http"],
-        "provider_impl": { "openai": true, "ollama": true, "http": true, "anthropic": false },
+        "provider_impl": { "openai": true, "ollama": true, "http": true, "anthropic": true },
         "cost_tiers": ["cheap", "mid", "expensive"],
         "kinds": ["chat", "embedding"],
         "profiles": ["cost-saver", "balanced", "quality-first"],
@@ -280,8 +280,8 @@ async fn meta() -> ApiResult {
         "tiers": ["low", "medium", "high"],
         "caps": ["tools", "vision"],
         "protocols_impl": {
-            "openai_chat": true, "openai_completions": false, "openai_embeddings": false,
-            "openai_models": false, "anthropic_messages": false, "mcp": false, "native_passthrough": false
+            "openai_chat": true, "openai_completions": false, "openai_embeddings": true,
+            "openai_models": false, "anthropic_messages": true, "mcp": false, "native_passthrough": false
         },
         "languages": ["en", "ru", "de", "fr", "es", "zh", "tr"],
     }))

src/protocols/anthropic_messages.rs

@@ -0,0 +1,209 @@
+//! Inbound Anthropic Messages adapter: `POST /v1/messages`.
+//! Translates the Anthropic request into the canonical [`ChatRequest`], runs the
+//! pipeline, and converts the result back to the Anthropic Messages format
+//! (non-streaming JSON or streaming SSE).
+
+use crate::error::{GatewayError, Result};
+use crate::model::{ChatRequest, GenParams, Message, RequestMeta, RoutingDirective};
+use crate::protocols::openai_chat::cortiq_headers;
+use crate::state::SharedState;
+use axum::response::{IntoResponse, Response};
+use axum::{extract::State, routing::post, Json, Router};
+use serde::Deserialize;
+
+pub fn routes() -> Router<SharedState> {
+    Router::new().route("/v1/messages", post(handler))
+}
+
+#[derive(Deserialize)]
+struct MessagesRequest {
+    model: String,
+    #[serde(default)]
+    system: serde_json::Value,
+    #[serde(default)]
+    messages: Vec<serde_json::Value>,
+    #[serde(default)]
+    max_tokens: Option<u32>,
+    #[serde(default)]
+    temperature: Option<f32>,
+    #[serde(default)]
+    top_p: Option<f32>,
+    #[serde(default)]
+    stream: bool,
+    #[serde(default)]
+    tools: Vec<serde_json::Value>,
+}
+
+/// Anthropic content is a string or an array of blocks; flatten to text.
+fn content_to_string(v: &serde_json::Value) -> String {
+    if let Some(s) = v.as_str() {
+        return s.to_string();
+    }
+    if let Some(arr) = v.as_array() {
+        return arr
+            .iter()
+            .filter_map(|b| b["text"].as_str())
+            .collect::<Vec<_>>()
+            .join("");
+    }
+    String::new()
+}
+
+fn parse_routing(model: &str) -> RoutingDirective {
+    if let Some(rest) = model.strip_prefix("cortiq-auto") {
+        RoutingDirective::Auto {
+            profile: rest.strip_prefix(':').map(|p| p.to_string()),
+        }
+    } else {
+        RoutingDirective::Pinned {
+            model_id: model.to_string(),
+        }
+    }
+}
+
+async fn handler(
+    State(state): State<SharedState>,
+    Json(req): Json<MessagesRequest>,
+) -> Result<Response> {
+    if !state.live().cfg.protocols.anthropic_messages {
+        return Err(GatewayError::InvalidRequest(
+            "anthropic_messages protocol is disabled".into(),
+        ));
+    }
+    if req.messages.is_empty() {
+        return Err(GatewayError::InvalidRequest(
+            "messages must not be empty".into(),
+        ));
+    }
+
+    let mut messages = Vec::new();
+    let sys = content_to_string(&req.system);
+    if !sys.is_empty() {
+        messages.push(Message {
+            role: "system".into(),
+            content: sys,
+            tool_calls: vec![],
+        });
+    }
+    for m in &req.messages {
+        messages.push(Message {
+            role: m["role"].as_str().unwrap_or("user").to_string(),
+            content: content_to_string(&m["content"]),
+            tool_calls: vec![],
+        });
+    }
+
+    let canonical = ChatRequest {
+        routing: parse_routing(&req.model),
+        messages,
+        tools: req.tools,
+        params: GenParams {
+            temperature: req.temperature,
+            max_tokens: req.max_tokens,
+            top_p: req.top_p,
+            stop: Vec::new(),
+            passthrough: Default::default(),
+        },
+        stream: req.stream,
+        meta: RequestMeta {
+            protocol: "anthropic_messages".into(),
+            ..Default::default()
+        },
+    };
+
+    if req.stream {
+        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"),
+        );
+        let translated = openai_to_anthropic_sse(stream);
+        return Ok((headers, axum::body::Body::from_stream(translated)).into_response());
+    }
+
+    let resp = state.pipeline.run(canonical, &state).await?;
+    let answer = resp
+        .choices
+        .first()
+        .map(|c| c.message.content.clone())
+        .unwrap_or_default();
+    let headers = cortiq_headers(&resp.cortiq);
+    let body = serde_json::json!({
+        "id": resp.id,
+        "type": "message",
+        "role": "assistant",
+        "model": resp.model_used,
+        "content": [{ "type": "text", "text": answer }],
+        "stop_reason": "end_turn",
+        "stop_sequence": serde_json::Value::Null,
+        "usage": {
+            "input_tokens": resp.usage.prompt_tokens,
+            "output_tokens": resp.usage.completion_tokens,
+        },
+    });
+    Ok((headers, Json(body)).into_response())
+}
+
+/// Translate the gateway's internal OpenAI-format SSE into Anthropic Messages SSE
+/// events, so Anthropic-native clients can stream regardless of the upstream provider.
+fn openai_to_anthropic_sse(
+    stream: crate::providers::ChatStream,
+) -> impl futures::Stream<Item = Result<bytes::Bytes>> + Send + 'static {
+    use futures::StreamExt;
+    async_stream::stream! {
+        fn evt(event: &str, data: serde_json::Value) -> bytes::Bytes {
+            bytes::Bytes::from(format!("event: {event}\ndata: {data}\n\n"))
+        }
+
+        yield Ok(evt("message_start", serde_json::json!({
+            "type": "message_start",
+            "message": {"id": "msg_gw", "type": "message", "role": "assistant",
+                        "content": [], "model": "cortiq-auto", "stop_reason": null,
+                        "usage": {"input_tokens": 0, "output_tokens": 0}}
+        })));
+        yield Ok(evt("content_block_start", serde_json::json!({
+            "type": "content_block_start", "index": 0,
+            "content_block": {"type": "text", "text": ""}
+        })));
+
+        let mut buf = String::new();
+        let mut completion_tokens = 0u64;
+        futures::pin_mut!(stream);
+        while let Some(item) = stream.next().await {
+            let bytes = match item {
+                Ok(b) => b,
+                Err(e) => { yield Err(e); break; }
+            };
+            if let Ok(s) = std::str::from_utf8(&bytes) {
+                buf.push_str(s);
+            }
+            while let Some(idx) = buf.find("\n\n") {
+                let chunk: String = buf.drain(..idx + 2).collect();
+                for line in chunk.lines() {
+                    let Some(data) = line.trim_start().strip_prefix("data:") else { continue };
+                    let data = data.trim();
+                    if data.is_empty() || data == "[DONE]" { continue; }
+                    let Ok(v) = serde_json::from_str::<serde_json::Value>(data) else { continue };
+                    if let Some(u) = v.get("usage").filter(|u| !u.is_null()) {
+                        completion_tokens = u["completion_tokens"].as_u64().unwrap_or(completion_tokens);
+                    }
+                    if let Some(t) = v["choices"][0]["delta"]["content"].as_str() {
+                        yield Ok(evt("content_block_delta", serde_json::json!({
+                            "type": "content_block_delta", "index": 0,
+                            "delta": {"type": "text_delta", "text": t}
+                        })));
+                    }
+                }
+            }
+        }
+
+        yield Ok(evt("content_block_stop", serde_json::json!({"type": "content_block_stop", "index": 0})));
+        yield Ok(evt("message_delta", serde_json::json!({
+            "type": "message_delta",
+            "delta": {"stop_reason": "end_turn", "stop_sequence": null},
+            "usage": {"output_tokens": completion_tokens}
+        })));
+        yield Ok(evt("message_stop", serde_json::json!({"type": "message_stop"})));
+    }
+}

src/protocols/mod.rs

@@ -1,7 +1,9 @@
 //! Incoming protocol adapters. Each one builds its own axum routes and translates
 //! its protocol to/from the canonical model. Enabled via flags in `[protocols]`.
 
+pub mod anthropic_messages;
 pub mod openai_chat;
+pub mod openai_embeddings;
 
 use crate::state::SharedState;
 use axum::Router;
@@ -10,8 +12,9 @@ use axum::Router;
 /// each handler checks the live `protocols.*` flag from config itself, so
 /// toggles in the admin panel take effect without a restart (hot switching).
 pub fn build_router() -> Router<SharedState> {
-    Router::new().merge(openai_chat::routes())
-    // TODO: openai_completions, openai_embeddings, openai_models,
-    //       anthropic_messages, mcp, native_passthrough — add here as well,
-    //       with a check of the corresponding flag inside the handler.
+    Router::new()
+        .merge(openai_chat::routes())
+        .merge(openai_embeddings::routes())
+        .merge(anthropic_messages::routes())
+    // TODO: openai_completions, openai_models, mcp, native_passthrough.
 }

src/protocols/openai_embeddings.rs

@@ -0,0 +1,52 @@
+//! Inbound OpenAI Embeddings adapter: `POST /v1/embeddings`.
+//! Resolves an embedding model (explicit id, or the first `kind = "embedding"`),
+//! calls the provider, and forwards the OpenAI-style response body.
+
+use crate::error::{GatewayError, Result};
+use crate::state::SharedState;
+use axum::{extract::State, response::IntoResponse, routing::post, Json, Router};
+use serde::Deserialize;
+
+pub fn routes() -> Router<SharedState> {
+    Router::new().route("/v1/embeddings", post(handler))
+}
+
+#[derive(Deserialize)]
+struct EmbeddingsRequest {
+    #[serde(default)]
+    model: String,
+    input: serde_json::Value,
+}
+
+async fn handler(
+    State(state): State<SharedState>,
+    Json(req): Json<EmbeddingsRequest>,
+) -> Result<impl IntoResponse> {
+    let live = state.live();
+    if !live.cfg.protocols.openai_embeddings {
+        return Err(GatewayError::InvalidRequest(
+            "openai_embeddings protocol is disabled".into(),
+        ));
+    }
+
+    // resolve the embedding model: explicit real id, else first kind == "embedding"
+    let model_id = if !req.model.is_empty()
+        && req.model != "cortiq-auto"
+        && live.registry.get(&req.model).is_some()
+    {
+        req.model.clone()
+    } else {
+        live.cfg
+            .models
+            .iter()
+            .find(|m| m.kind == "embedding")
+            .map(|m| m.id.clone())
+            .ok_or_else(|| GatewayError::InvalidRequest("no embedding model configured".into()))?
+    };
+
+    let provider = live.registry.get(&model_id).ok_or_else(|| {
+        GatewayError::UpstreamUnavailable(format!("embedding model '{model_id}' is not available"))
+    })?;
+    let body = provider.embed(req.input).await?;
+    Ok(Json(body))
+}

src/providers/anthropic.rs

@@ -1,23 +1,25 @@
-//! Anthropic Messages provider (v0.2). Translates the canonical ChatRequest to
-//! `POST /v1/messages` and back. The `system` message is extracted into a separate field.
+//! Anthropic Messages provider. Translates the canonical [`ChatRequest`] to
+//! `POST {base_url}/v1/messages` and back. `system` messages are lifted into the
+//! top-level `system` field. Streaming translates Anthropic SSE events into the
+//! OpenAI wire format, so the gateway's unified SSE passthrough works uniformly.
 
 use super::{Caps, Provider};
 use crate::config::ModelCfg;
 use crate::error::{GatewayError, Result};
-use crate::model::{ChatRequest, ChatResponse};
+use crate::model::{ChatRequest, ChatResponse, Choice, Message, RouteInfo, Usage};
 use async_trait::async_trait;
 
+const ANTHROPIC_VERSION: &str = "2023-06-01";
+
 pub struct AnthropicProvider {
     id: String,
-    #[allow(dead_code)]
     base_url: String,
-    #[allow(dead_code)]
     model: String,
-    #[allow(dead_code)]
     api_key: Option<String>,
     caps: Caps,
     price_in: f64,
     price_out: f64,
+    http: reqwest::Client,
 }
 
 impl AnthropicProvider {
@@ -30,8 +32,61 @@ impl AnthropicProvider {
             caps: Caps::from_list(&cfg.caps),
             price_in: cfg.price_in,
             price_out: cfg.price_out,
+            http: reqwest::Client::new(),
         })
     }
+
+    /// Canonical request → Anthropic Messages request body.
+    fn to_wire(&self, req: &ChatRequest, stream: bool) -> serde_json::Value {
+        let mut system = String::new();
+        let mut messages = Vec::new();
+        for m in &req.messages {
+            if m.role == "system" {
+                if !system.is_empty() {
+                    system.push('\n');
+                }
+                system.push_str(&m.content);
+            } else {
+                let role = if m.role == "assistant" {
+                    "assistant"
+                } else {
+                    "user"
+                };
+                messages.push(serde_json::json!({ "role": role, "content": m.content }));
+            }
+        }
+        let mut body = serde_json::json!({
+            "model": self.model,
+            "messages": messages,
+            "max_tokens": req.params.max_tokens.unwrap_or(1024),
+            "stream": stream,
+        });
+        if !system.is_empty() {
+            body["system"] = serde_json::Value::String(system);
+        }
+        if let Some(t) = req.params.temperature {
+            body["temperature"] = t.into();
+        }
+        if let Some(p) = req.params.top_p {
+            body["top_p"] = p.into();
+        }
+        if !req.tools.is_empty() {
+            body["tools"] = serde_json::Value::Array(req.tools.clone());
+        }
+        body
+    }
+
+    fn request(&self, body: &serde_json::Value) -> reqwest::RequestBuilder {
+        let mut r = self
+            .http
+            .post(format!("{}/v1/messages", self.base_url))
+            .header("anthropic-version", ANTHROPIC_VERSION)
+            .json(body);
+        if let Some(key) = &self.api_key {
+            r = r.header("x-api-key", key);
+        }
+        r
+    }
 }
 
 #[async_trait]
@@ -46,12 +101,159 @@ impl Provider for AnthropicProvider {
         (prompt_tokens as f64 * self.price_in + completion_tokens as f64 * self.price_out)
             / 1_000_000.0
     }
-    async fn chat(&self, _req: ChatRequest) -> Result<ChatResponse> {
-        // TODO(v0.2): extract system from messages → "system" field; messages → content blocks;
-        // add x-api-key + anthropic-version headers; map response → canonical form.
-        // Returns an error (not a panic) so that failover/playground continue to work normally.
-        Err(GatewayError::UpstreamUnavailable(
-            "anthropic provider not yet implemented (planned v0.2)".to_string(),
-        ))
+
+    async fn chat(&self, req: ChatRequest) -> Result<ChatResponse> {
+        let resp = self
+            .request(&self.to_wire(&req, false))
+            .send()
+            .await
+            .map_err(|e| GatewayError::UpstreamUnavailable(e.to_string()))?;
+        if !resp.status().is_success() {
+            let status = resp.status();
+            let b = resp.text().await.unwrap_or_default();
+            return Err(GatewayError::UpstreamUnavailable(format!(
+                "provider {} returned HTTP {}: {}",
+                self.id, status, b
+            )));
+        }
+        let v: serde_json::Value = resp.json().await.map_err(|e| {
+            GatewayError::Internal(format!("failed to parse anthropic response: {e}"))
+        })?;
+        let content = v["content"]
+            .as_array()
+            .map(|blocks| {
+                blocks
+                    .iter()
+                    .filter_map(|b| b["text"].as_str())
+                    .collect::<Vec<_>>()
+                    .join("")
+            })
+            .unwrap_or_default();
+        let prompt_tokens = v["usage"]["input_tokens"].as_u64().unwrap_or(0) as u32;
+        let completion_tokens = v["usage"]["output_tokens"].as_u64().unwrap_or(0) as u32;
+        Ok(ChatResponse {
+            id: v["id"].as_str().unwrap_or("").to_string(),
+            model_used: v["model"].as_str().unwrap_or(&self.model).to_string(),
+            choices: vec![Choice {
+                index: 0,
+                message: Message {
+                    role: "assistant".into(),
+                    content,
+                    tool_calls: vec![],
+                },
+                finish_reason: v["stop_reason"].as_str().unwrap_or("stop").to_string(),
+            }],
+            usage: Usage {
+                prompt_tokens,
+                completion_tokens,
+                total_tokens: prompt_tokens + completion_tokens,
+            },
+            cortiq: RouteInfo {
+                task_label: String::new(),
+                complexity_score: 0.0,
+                complexity_tier: String::new(),
+                selected_model: self.id.clone(),
+                route_source: String::new(),
+                router_request_id: None,
+                cost_usd: 0.0,
+                failover: false,
+            },
+        })
+    }
+
+    async fn chat_stream(&self, req: ChatRequest) -> Result<super::ChatStream> {
+        let resp = self
+            .request(&self.to_wire(&req, true))
+            .send()
+            .await
+            .map_err(|e| GatewayError::UpstreamUnavailable(e.to_string()))?;
+        if !resp.status().is_success() {
+            let status = resp.status();
+            let b = resp.text().await.unwrap_or_default();
+            return Err(GatewayError::UpstreamUnavailable(format!(
+                "provider {} returned HTTP {}: {}",
+                self.id, status, b
+            )));
+        }
+        Ok(Box::pin(anthropic_to_openai_sse(resp.bytes_stream())))
+    }
+}
+
+/// Translate an Anthropic Messages SSE stream into OpenAI `chat.completion.chunk`
+/// SSE so the gateway's unified streaming path works for Anthropic too.
+fn anthropic_to_openai_sse(
+    upstream: impl futures::Stream<Item = reqwest::Result<bytes::Bytes>> + Send + 'static,
+) -> impl futures::Stream<Item = Result<bytes::Bytes>> + Send + 'static {
+    use futures::StreamExt;
+    async_stream::stream! {
+        futures::pin_mut!(upstream);
+        let mut buf = String::new();
+        let mut input_tokens = 0u64;
+        let mut role_sent = false;
+        let emit = |obj: serde_json::Value| bytes::Bytes::from(format!("data: {obj}\n\n"));
+
+        while let Some(chunk) = upstream.next().await {
+            let chunk = match chunk {
+                Ok(c) => c,
+                Err(e) => {
+                    yield Err(GatewayError::UpstreamUnavailable(e.to_string()));
+                    return;
+                }
+            };
+            if let Ok(s) = std::str::from_utf8(&chunk) {
+                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() {
+                    let Some(data) = line.trim_start().strip_prefix("data:") else {
+                        continue;
+                    };
+                    let data = data.trim();
+                    if data.is_empty() {
+                        continue;
+                    }
+                    let Ok(v) = serde_json::from_str::<serde_json::Value>(data) else {
+                        continue;
+                    };
+                    match v["type"].as_str().unwrap_or("") {
+                        "message_start" => {
+                            input_tokens =
+                                v["message"]["usage"]["input_tokens"].as_u64().unwrap_or(0);
+                            if !role_sent {
+                                role_sent = true;
+                                yield Ok(emit(serde_json::json!({
+                                    "choices": [{"index": 0, "delta": {"role": "assistant"}, "finish_reason": null}]
+                                })));
+                            }
+                        }
+                        "content_block_delta" => {
+                            if let Some(t) = v["delta"]["text"].as_str() {
+                                yield Ok(emit(serde_json::json!({
+                                    "choices": [{"index": 0, "delta": {"content": t}, "finish_reason": null}]
+                                })));
+                            }
+                        }
+                        "message_delta" => {
+                            let out = v["usage"]["output_tokens"].as_u64().unwrap_or(0);
+                            let stop = v["delta"]["stop_reason"].as_str().unwrap_or("stop").to_string();
+                            yield Ok(emit(serde_json::json!({
+                                "choices": [{"index": 0, "delta": {}, "finish_reason": stop}]
+                            })));
+                            yield Ok(emit(serde_json::json!({
+                                "choices": [],
+                                "usage": {
+                                    "prompt_tokens": input_tokens,
+                                    "completion_tokens": out,
+                                    "total_tokens": input_tokens + out
+                                }
+                            })));
+                        }
+                        _ => {}
+                    }
+                }
+            }
+        }
+        yield Ok(bytes::Bytes::from("data: [DONE]\n\n"));
     }
 }

src/providers/mod.rs

@@ -57,5 +57,13 @@ pub trait Provider: Send + Sync {
         )))
     }
 
-    // TODO(v0.2): async fn embed(...) -> Result<EmbedResponse>.
+    /// Embeddings call. `input` is the OpenAI `input` field (string or array of
+    /// strings); returns the provider's OpenAI-style embeddings response body.
+    /// Default: not supported (override per provider).
+    async fn embed(&self, _input: serde_json::Value) -> crate::error::Result<serde_json::Value> {
+        Err(GatewayError::UpstreamUnavailable(format!(
+            "embeddings are not supported by provider '{}'",
+            self.id()
+        )))
+    }
 }

src/providers/openai.rs

@@ -185,4 +185,30 @@ impl Provider for OpenAiProvider {
             .map(|res| res.map_err(|e| GatewayError::UpstreamUnavailable(e.to_string())));
         Ok(Box::pin(stream))
     }
+
+    async fn embed(&self, input: serde_json::Value) -> Result<serde_json::Value> {
+        let body = serde_json::json!({ "model": self.model, "input": input });
+        let mut r = self
+            .http
+            .post(format!("{}/embeddings", 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
+            )));
+        }
+        resp.json().await.map_err(|e| {
+            GatewayError::Internal(format!("failed to parse embeddings response: {e}"))
+        })
+    }
 }

src/registry.rs

@@ -15,9 +15,6 @@ impl Registry {
     pub fn from_config(cfg: &Config, secrets: &SecretStore) -> anyhow::Result<Self> {
         let mut by_id: HashMap<String, Arc<dyn Provider>> = HashMap::new();
         for m in &cfg.models {
-            if m.kind == "embedding" {
-                continue; // embedding models are handled by a separate branch (v0.1)
-            }
             // provider key: secret store → environment variable
             let api_key = m
                 .api_key_env