From c99bed75f991f7b0439f803f818560fcded5282a Mon Sep 17 00:00:00 2001
From: Greg Clark <grclark@nvidia.com>
Date: Thu, 16 Jul 2026 19:48:37 -0400
Subject: [PATCH 1/3] feat(switchyard-llm-client): add HTTP LLM client crate
 speaking the neutral IR

Signed-off-by: Greg Clark <grclark@nvidia.com>
---
 Cargo.lock                             | 2334 ------------------------
 Cargo.toml                             |    1 +
 crates/libsy-llm-client/Cargo.toml     |   27 +
 crates/libsy-llm-client/README.md      |  174 ++
 crates/libsy-llm-client/src/backend.rs |  246 +++
 crates/libsy-llm-client/src/client.rs  |  815 +++++++++
 crates/libsy-llm-client/src/error.rs   |  157 ++
 crates/libsy-llm-client/src/lib.rs     |   30 +
 crates/libsy-llm-client/src/raw.rs     |   22 +
 9 files changed, 1472 insertions(+), 2334 deletions(-)
 delete mode 100644 Cargo.lock
 create mode 100644 crates/libsy-llm-client/Cargo.toml
 create mode 100644 crates/libsy-llm-client/README.md
 create mode 100644 crates/libsy-llm-client/src/backend.rs
 create mode 100644 crates/libsy-llm-client/src/client.rs
 create mode 100644 crates/libsy-llm-client/src/error.rs
 create mode 100644 crates/libsy-llm-client/src/lib.rs
 create mode 100644 crates/libsy-llm-client/src/raw.rs

diff --git a/Cargo.lock b/Cargo.lock
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diff --git a/Cargo.toml b/Cargo.toml
index ec2ee2c7..551d52cf 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -6,6 +6,7 @@ resolver = "2"
 members = [
     "crates/libsy",
     "crates/libsy-examples",
+    "crates/libsy-llm-client",
     "crates/switchyard-components",
     "crates/switchyard-components-v2",
     "crates/switchyard-components-v2-macros",
diff --git a/crates/libsy-llm-client/Cargo.toml b/crates/libsy-llm-client/Cargo.toml
new file mode 100644
index 00000000..b930adcb
--- /dev/null
+++ b/crates/libsy-llm-client/Cargo.toml
@@ -0,0 +1,27 @@
+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+[package]
+name = "switchyard-llm-client"
+version = "0.1.0"
+description = "HTTP LLM client speaking Switchyard's neutral IR directly"
+authors.workspace = true
+edition.workspace = true
+license.workspace = true
+repository.workspace = true
+rust-version.workspace = true
+
+[dependencies]
+switchyard-protocol = { path = "../libsy-protocol", version = "0.1.0" }
+switchyard-translation = { path = "../switchyard-translation", version = "0.1.0" }
+reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls-native-roots", "stream"] }
+async-trait = "0.1"
+futures = "0.3"
+futures-util = "0.3"
+serde_json = "1"
+thiserror = "2"
+
+[dev-dependencies]
+pretty_assertions = "1"
+tokio = { version = "1", features = ["macros", "rt-multi-thread"] }
+wiremock = "0.6"
diff --git a/crates/libsy-llm-client/README.md b/crates/libsy-llm-client/README.md
new file mode 100644
index 00000000..5bc9afee
--- /dev/null
+++ b/crates/libsy-llm-client/README.md
@@ -0,0 +1,174 @@
+<!--
+SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-License-Identifier: Apache-2.0
+-->
+
+# libsy-llm-client
+
+An HTTP client that speaks Switchyard's neutral IR directly. You hand it a
+[`libsy_protocol::Request`] and a model name; it looks up the configured backend,
+encodes the request to that backend's wire format, adds auth and forwards your
+headers, makes the call with a shared `reqwest::Client`, and decodes the reply
+back into a [`libsy_protocol::Response`] — buffered or streamed.
+
+It depends only on `libsy-protocol` and `switchyard-translation`; no server, no
+provider SDK. For an HTTP front door built on top of it, see [`libsy-proxy`].
+
+## Concepts
+
+- **Two-layer map.** A client is built from `model → wire format → Backend`, so
+  one model can be served over several upstream formats. `call(request, model, format)`
+  picks the backend by `(model, format)`.
+- **Backends.** A [`Backend`] is one of `OpenAiChat`, `OpenAiResponses`, or
+  `Anthropic`, each wrapping an [`HttpBackendConfig`] (`base_url`, `api_key`,
+  static `extra_headers`). The variant fixes the URL path and auth scheme
+  (Bearer vs `x-api-key` + `anthropic-version`).
+- **Model rewrite.** The resolved model name is both the map key and the model id
+  sent upstream — it overwrites whatever `model` the request arrived with.
+- **Streaming is chosen by the request.** If the encoded body has `stream: true`
+  (i.e. `request.llm_request.stream`), you get `LlmResponse::Stream`; otherwise
+  `LlmResponse::Agg`.
+
+## Add the dependency
+
+Within this workspace:
+
+```toml
+[dependencies]
+switchyard-llm-client = { path = "../libsy-llm-client" }
+switchyard-protocol = { path = "../libsy-protocol" }
+switchyard-translation = { path = "../switchyard-translation" }   # for WireFormat
+```
+
+## Quickstart
+
+### Build a client
+
+```rust
+use std::collections::{BTreeMap, HashMap};
+use switchyard_llm_client::{Backend, HttpBackendConfig, LlmModelClient};
+use switchyard_translation::WireFormat;
+
+fn build_client() -> libsy_llm_client::Result<LlmModelClient> {
+    let openai = HttpBackendConfig {
+        base_url: "https://api.openai.com/v1".to_string(),
+        api_key: std::env::var("OPENAI_API_KEY").ok(),
+        extra_headers: BTreeMap::new(),
+    };
+
+    // model → format → backend
+    let map = HashMap::from([(
+        "gpt-4o-mini".to_string(),
+        HashMap::from([(WireFormat::OpenAiChat, Backend::OpenAiChat(openai))]),
+    )]);
+
+    LlmModelClient::new(map)
+}
+```
+
+### Buffered call
+
+```rust
+use libsy_protocol::{completion_text, text_request, Request};
+use switchyard_translation::WireFormat;
+
+async fn ask(client: &LlmModelClient) -> libsy_llm_client::Result<String> {
+    let request = Request {
+        llm_request: text_request(None, "Say hello in five words."),
+        raw_request: None,
+        metadata: None,
+    };
+
+    // model_name wins over request.llm_request.model; it is also sent upstream.
+    let response = client
+        .call(request, Some("gpt-4o-mini"), WireFormat::OpenAiChat)
+        .await?;
+
+    // Buffered backends return `Agg`; a stream can be folded with `.aggregate()`.
+    let agg = response.llm_response.aggregate().await.unwrap();
+    Ok(completion_text(&agg))
+}
+```
+
+### Streaming call
+
+Set `stream` on the IR request and drive the returned chunk stream:
+
+```rust
+use futures_util::StreamExt;
+use libsy_protocol::{text_request, LlmResponse, LlmResponseChunk, Request};
+use switchyard_translation::WireFormat;
+
+async fn stream(client: &LlmModelClient) -> libsy_llm_client::Result<()> {
+    let mut llm_request = text_request(None, "Count to five.");
+    llm_request.stream = true;
+    let request = Request { llm_request, raw_request: None, metadata: None };
+
+    let response = client
+        .call(request, Some("gpt-4o-mini"), WireFormat::OpenAiChat)
+        .await?;
+
+    if let LlmResponse::Stream(mut chunks) = response.llm_response {
+        while let Some(item) = chunks.next().await {
+            match item {
+                Ok(LlmResponseChunk::TextDelta { text, .. }) => print!("{text}"),
+                Ok(_) => {}                       // usage, tool-call deltas, message start/stop
+                Err(error) => return Err(libsy_llm_client::LlmClientError::Stream(error.to_string())),
+            }
+        }
+    }
+    Ok(())
+}
+```
+
+## Cross-format translation
+
+The request/response are translated through the neutral IR, so the inbound shape
+you build and the backend's wire format are independent. Pointing a
+`WireFormat::AnthropicMessages` backend at an Anthropic endpoint while building
+requests with the same helpers works the same way — pass the matching format to
+`call`. Register several formats under one model to serve it over more than one
+upstream API:
+
+```rust
+let backends = HashMap::from([
+    (WireFormat::OpenAiChat,      Backend::OpenAiChat(openai_chat_cfg)),
+    (WireFormat::OpenAiResponses, Backend::OpenAiResponses(openai_resp_cfg)),
+    (WireFormat::AnthropicMessages, Backend::Anthropic(anthropic_cfg)),
+]);
+let map = HashMap::from([("my-model".to_string(), backends)]);
+// client.formats_for("my-model") -> the configured formats
+```
+
+## Headers & auth
+
+- The `Backend` variant sets auth: OpenAI formats send `Authorization: Bearer <key>`;
+  Anthropic sends `x-api-key: <key>` plus `anthropic-version`.
+- `request.metadata.http_headers` are forwarded upstream, **except** reserved ones:
+  `host`, `content-length`, `connection`, and the backend-owned
+  `authorization` / `x-api-key` / `anthropic-version` / `content-type`. So a
+  caller's placeholder credential never overrides the backend's real key.
+- Per-backend static headers go in `HttpBackendConfig::extra_headers`.
+
+## Errors
+
+`call` returns [`LlmClientError`]:
+
+| Variant | When |
+|---------|------|
+| `MissingModel` | no `model_name` arg and no `request.llm_request.model` |
+| `UnknownModel(model)` | model has no backends configured |
+| `UnknownModelFormat { model, format }` | model has no backend for that format |
+| `Translation(msg)` | encode/decode failed in the translation engine |
+| `Transport(msg)` | connect/timeout/transport failure |
+| `ContextWindowExceeded { model, message }` | upstream 400 detected as a context overflow (checked before `UpstreamHttp`, so callers can evict-and-retry) |
+| `UpstreamHttp { status, body }` | any other non-2xx upstream response |
+| `Stream(msg)` | mid-stream read / malformed frame |
+
+[`libsy_protocol::Request`]: ../libsy-protocol
+[`libsy_protocol::Response`]: ../libsy-protocol
+[`libsy-proxy`]: ../libsy-proxy
+[`Backend`]: src/backend.rs
+[`HttpBackendConfig`]: src/backend.rs
+[`LlmModelClient`]: src/client.rs
+[`LlmClientError`]: src/error.rs
diff --git a/crates/libsy-llm-client/src/backend.rs b/crates/libsy-llm-client/src/backend.rs
new file mode 100644
index 00000000..0512f2ac
--- /dev/null
+++ b/crates/libsy-llm-client/src/backend.rs
@@ -0,0 +1,246 @@
+// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+
+//! Per-provider backend configuration: wire format, upstream URL, and auth.
+
+use std::collections::BTreeMap;
+
+use reqwest::RequestBuilder;
+use switchyard_protocol::WireFormat;
+
+use crate::error::is_overflow_body;
+
+const ANTHROPIC_VERSION: &str = "2023-06-01";
+
+// Canonical OpenAI phrase plus NVIDIA/LiteLLM wrap variants. Adding a new
+// provider-wrap is a one-line entry here, not a fork of the parsing logic.
+const OPENAI_OVERFLOW_PHRASES: &[&str] = &[
+    "maximum context length",
+    "context length exceeded",
+    "context window",
+    "context length is only",
+    "please reduce the length of the input",
+];
+
+// Anthropic has no structured `error.code`, so detection is phrase-based only.
+const ANTHROPIC_OVERFLOW_PHRASES: &[&str] = &[
+    "prompt is too long",
+    "maximum number of tokens",
+    "context window",
+    "context length",
+];
+
+/// Shared HTTP configuration for one upstream backend.
+#[derive(Clone, Debug)]
+pub struct HttpBackendConfig {
+    /// Base URL of the provider API (e.g. `https://api.openai.com/v1`).
+    pub base_url: String,
+    /// API key for the provider, loaded by the caller. `None` sends no auth.
+    pub api_key: Option<String>,
+    /// Static headers added to every outbound call to this backend.
+    pub extra_headers: BTreeMap<String, String>,
+}
+
+/// A configured upstream backend, one variant per built-in wire format.
+///
+/// The variant fixes the wire format, URL path, and auth scheme together so no
+/// invalid combination can be constructed.
+#[derive(Clone, Debug)]
+pub enum Backend {
+    /// OpenAI-compatible Chat Completions API.
+    OpenAiChat(HttpBackendConfig),
+    /// OpenAI Responses API.
+    OpenAiResponses(HttpBackendConfig),
+    /// Anthropic Messages API.
+    Anthropic(HttpBackendConfig),
+}
+
+impl Backend {
+    /// The wire format the request IR is encoded to for this backend.
+    pub fn wire_format(&self) -> WireFormat {
+        match self {
+            Backend::OpenAiChat(_) => WireFormat::OpenAiChat,
+            Backend::OpenAiResponses(_) => WireFormat::OpenAiResponses,
+            Backend::Anthropic(_) => WireFormat::AnthropicMessages,
+        }
+    }
+
+    // Shared HTTP config, regardless of variant.
+    fn config(&self) -> &HttpBackendConfig {
+        match self {
+            Backend::OpenAiChat(config)
+            | Backend::OpenAiResponses(config)
+            | Backend::Anthropic(config) => config,
+        }
+    }
+
+    /// The fully resolved upstream URL for this backend's endpoint.
+    ///
+    /// Tolerates base URLs that already include the provider path (or a bare
+    /// `/v1`), matching the join rules of the existing native backends.
+    pub fn url(&self) -> String {
+        let base_url = self.config().base_url.trim_end_matches('/');
+        match self {
+            Backend::OpenAiChat(_) => openai_url(base_url, "/chat/completions"),
+            Backend::OpenAiResponses(_) => openai_url(base_url, "/responses"),
+            Backend::Anthropic(_) => anthropic_url(base_url),
+        }
+    }
+
+    /// Applies this backend's auth and version headers to a request builder.
+    ///
+    /// OpenAI variants use `Authorization: Bearer <key>`; Anthropic uses
+    /// `x-api-key: <key>` plus the required `anthropic-version` header.
+    pub fn apply_auth(&self, mut builder: RequestBuilder) -> RequestBuilder {
+        let api_key = self.config().api_key.as_deref();
+        match self {
+            Backend::OpenAiChat(_) | Backend::OpenAiResponses(_) => {
+                if let Some(api_key) = api_key {
+                    builder = builder.bearer_auth(api_key);
+                }
+            }
+            Backend::Anthropic(_) => {
+                builder = builder.header("anthropic-version", ANTHROPIC_VERSION);
+                if let Some(api_key) = api_key {
+                    builder = builder.header("x-api-key", api_key);
+                }
+            }
+        }
+        builder
+    }
+
+    /// Static per-backend headers to forward on every call.
+    pub fn extra_headers(&self) -> &BTreeMap<String, String> {
+        &self.config().extra_headers
+    }
+
+    /// Whether an upstream 400 `body` looks like a context-window overflow for
+    /// this backend's provider.
+    pub(crate) fn is_context_overflow(&self, body: &str) -> bool {
+        match self {
+            Backend::OpenAiChat(_) | Backend::OpenAiResponses(_) => is_overflow_body(
+                body,
+                |value| {
+                    value
+                        .get("error")
+                        .and_then(|err| err.get("code"))
+                        .and_then(serde_json::Value::as_str)
+                        == Some("context_length_exceeded")
+                },
+                OPENAI_OVERFLOW_PHRASES,
+            ),
+            Backend::Anthropic(_) => is_overflow_body(body, |_| false, ANTHROPIC_OVERFLOW_PHRASES),
+        }
+    }
+}
+
+// Accept either a root `/v1` URL or an already-specific OpenAI endpoint URL.
+fn openai_url(base_url: &str, suffix: &str) -> String {
+    let base_root = base_url
+        .strip_suffix("/chat/completions")
+        .or_else(|| base_url.strip_suffix("/responses"))
+        .unwrap_or(base_url);
+    format!("{base_root}{suffix}")
+}
+
+// Accept a bare host, a `/v1` root, or an already-specific `/v1/messages` URL.
+fn anthropic_url(base_url: &str) -> String {
+    if base_url.ends_with("/v1/messages") {
+        base_url.to_string()
+    } else if base_url.ends_with("/v1") {
+        format!("{base_url}/messages")
+    } else {
+        format!("{base_url}/v1/messages")
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    fn config(base_url: &str) -> HttpBackendConfig {
+        HttpBackendConfig {
+            base_url: base_url.to_string(),
+            api_key: Some("secret".to_string()),
+            extra_headers: BTreeMap::new(),
+        }
+    }
+
+    #[test]
+    fn openai_chat_url_joins_bare_v1() {
+        let backend = Backend::OpenAiChat(config("https://api.openai.com/v1"));
+        assert_eq!(backend.url(), "https://api.openai.com/v1/chat/completions");
+    }
+
+    #[test]
+    fn openai_chat_url_tolerates_trailing_slash_and_existing_suffix() {
+        assert_eq!(
+            Backend::OpenAiChat(config("https://api.openai.com/v1/")).url(),
+            "https://api.openai.com/v1/chat/completions"
+        );
+        assert_eq!(
+            Backend::OpenAiChat(config("https://api.openai.com/v1/chat/completions")).url(),
+            "https://api.openai.com/v1/chat/completions"
+        );
+    }
+
+    #[test]
+    fn openai_responses_url_uses_responses_path() {
+        assert_eq!(
+            Backend::OpenAiResponses(config("https://api.openai.com/v1")).url(),
+            "https://api.openai.com/v1/responses"
+        );
+    }
+
+    #[test]
+    fn anthropic_url_join_cases() {
+        assert_eq!(
+            Backend::Anthropic(config("https://api.anthropic.com")).url(),
+            "https://api.anthropic.com/v1/messages"
+        );
+        assert_eq!(
+            Backend::Anthropic(config("https://api.anthropic.com/v1")).url(),
+            "https://api.anthropic.com/v1/messages"
+        );
+        assert_eq!(
+            Backend::Anthropic(config("https://api.anthropic.com/v1/messages")).url(),
+            "https://api.anthropic.com/v1/messages"
+        );
+    }
+
+    #[test]
+    fn wire_format_matches_variant() {
+        assert_eq!(
+            Backend::OpenAiChat(config("x")).wire_format(),
+            WireFormat::OpenAiChat
+        );
+        assert_eq!(
+            Backend::OpenAiResponses(config("x")).wire_format(),
+            WireFormat::OpenAiResponses
+        );
+        assert_eq!(
+            Backend::Anthropic(config("x")).wire_format(),
+            WireFormat::AnthropicMessages
+        );
+    }
+
+    #[test]
+    fn openai_detects_canonical_and_wrapped_overflow() {
+        let backend = Backend::OpenAiChat(config("x"));
+        assert!(backend
+            .is_context_overflow(r#"{"error":{"code":"context_length_exceeded","message":"x"}}"#));
+        // NVIDIA/LiteLLM message wrap with no structured code.
+        assert!(backend.is_context_overflow(
+            r#"{"error":{"message":"the model's context length is only 131072 tokens"}}"#
+        ));
+        assert!(!backend.is_context_overflow(r#"{"error":{"code":"invalid_api_key"}}"#));
+    }
+
+    #[test]
+    fn anthropic_detects_prompt_too_long() {
+        let backend = Backend::Anthropic(config("x"));
+        assert!(backend
+            .is_context_overflow(r#"{"error":{"message":"prompt is too long: 200000 tokens"}}"#));
+        assert!(!backend.is_context_overflow(r#"{"error":{"message":"overloaded"}}"#));
+    }
+}
diff --git a/crates/libsy-llm-client/src/client.rs b/crates/libsy-llm-client/src/client.rs
new file mode 100644
index 00000000..f3bfc3e4
--- /dev/null
+++ b/crates/libsy-llm-client/src/client.rs
@@ -0,0 +1,815 @@
+// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+
+//! [`TranslatingLlmClient`] — the crate's single public entry point: encode a neutral
+//! request, call the configured backend over HTTP, decode the neutral response.
+
+use std::collections::{BTreeMap, HashMap};
+
+use async_trait::async_trait;
+use futures_util::StreamExt;
+use reqwest::RequestBuilder;
+use serde_json::Value;
+use switchyard_protocol::{
+    Context, Decision, LlmResponse, Metadata, Request, Response, RoutedLlmClient,
+};
+use switchyard_translation::{
+    decode_aggregated_response, decode_request, decode_stream, encode_aggregated_response,
+    encode_request, encode_stream, WireFormat,
+};
+
+use crate::backend::Backend;
+use crate::error::{LlmClientError, Result};
+use crate::raw::RawResponse;
+
+// Headers this client owns or that are hop-by-hop; never forwarded from the
+// caller's metadata. Auth/version/content-type are set by the backend or the
+// JSON body, so a forwarded copy would either be ignored or conflict. Compared
+// case-insensitively. Aligns with `_SENSITIVE_HEADERS` in the Python
+// `switchyard/lib/request_metadata.py` forwarding logic.
+const RESERVED_HEADERS: &[&str] = &[
+    "host",
+    "content-length",
+    "connection",
+    "authorization",
+    "x-api-key",
+    "anthropic-version",
+    "content-type",
+];
+
+/// How one model is served: the `default_backend` used when the request does not
+/// pin a wire format, plus any `other_backends` reachable over additional formats.
+#[derive(Clone, Debug)]
+pub struct ModelConfig {
+    model_name: String,
+    default_backend: Backend,
+    other_backends: Option<Vec<Backend>>,
+}
+
+impl ModelConfig {
+    /// A model named `model_name` served by `default_backend`, optionally reachable
+    /// over additional wire formats via `other_backends`.
+    pub fn new(
+        model_name: impl Into<String>,
+        default_backend: Backend,
+        other_backends: Option<Vec<Backend>>,
+    ) -> Self {
+        Self {
+            model_name: model_name.into(),
+            default_backend,
+            other_backends,
+        }
+    }
+}
+
+/// A client that dispatches neutral-IR requests to per-model HTTP backends.
+///
+/// Construct it with a list of [`ModelConfig`]s — one per model, each naming a
+/// default [`Backend`] and any additional per-format backends. Each call resolves
+/// the model and wire format, encodes the request to that backend's wire format,
+/// applies auth and forwarded headers, sends the HTTP request with a shared
+/// [`reqwest::Client`], and decodes the response back to the neutral IR (buffered
+/// or streamed).
+pub struct TranslatingLlmClient {
+    model_to_config: HashMap<String, ModelConfig>,
+    client: reqwest::Client,
+}
+
+impl TranslatingLlmClient {
+    /// Builds a client over the given [`ModelConfig`]s, with a fresh shared HTTP
+    /// client and the built-in translation codecs.
+    pub fn new(model_configs: &[ModelConfig]) -> Result<Self> {
+        let client = reqwest::Client::builder().build().map_err(|error| {
+            LlmClientError::Transport(format!("failed to build HTTP client: {error}"))
+        })?;
+        let model_to_config = model_configs
+            .iter()
+            .map(|config| (config.model_name.clone(), config.clone()))
+            .collect();
+
+        Ok(Self {
+            model_to_config,
+            client,
+        })
+    }
+
+    /// The backend serving `model` over `format` — the default backend when its
+    /// format matches, otherwise a matching entry in `other_backends`; `None` when
+    /// the model is unknown or has no backend for `format`.
+    pub fn backend_for(&self, model: &str, format: WireFormat) -> Option<&Backend> {
+        self.model_to_config.get(model).and_then(|config| {
+            if config.default_backend.wire_format() == format {
+                Some(&config.default_backend)
+            } else {
+                config
+                    .other_backends
+                    .as_ref()
+                    .and_then(|backends| backends.iter().find(|b| b.wire_format() == format))
+            }
+        })
+    }
+
+    /// Calls the backend for `model_name` (or the request's own model), over the
+    /// wire format the request pins in its metadata (else the model's default
+    /// backend), and returns the neutral response.
+    ///
+    /// Resolution: `model_name` wins over `request.llm_request.model`; the
+    /// resolved name is both the outer map key and the model id written into the
+    /// request before translation. Errors with [`LlmClientError::MissingModel`]
+    /// when neither is set, [`LlmClientError::UnknownModel`] when the model has
+    /// no backends, and [`LlmClientError::UnknownModelFormat`] when the model has
+    /// no backend for `format`.
+    pub async fn call_rewrite_model(
+        &self,
+        _ctx: Context,
+        request: Request,
+        model_name: Option<&str>,
+    ) -> Result<Response> {
+        // Own the request's parts so the model can be set without a `mut` param
+        // and without cloning the messages. `raw_request` is unused here.
+        let Request {
+            mut llm_request,
+            metadata,
+            ..
+        } = request;
+
+        let model = model_name
+            .map(str::to_string)
+            .or_else(|| llm_request.model.clone())
+            .ok_or(LlmClientError::MissingModel)?;
+
+        let orig_format = metadata.as_ref().and_then(|m| m.wire_format);
+        let wire_format = orig_format.unwrap_or(
+            self.model_to_config
+                .get(&model)
+                .map(|config| config.default_backend.wire_format())
+                .ok_or(LlmClientError::UnknownModel(model.clone()))?,
+        );
+        let backend =
+            self.backend_for(&model, wire_format)
+                .ok_or(LlmClientError::UnknownModelFormat {
+                    model: model.clone(),
+                    format: wire_format,
+                })?;
+
+        // The resolved name is the upstream model id (per the crate contract).
+        llm_request.model = Some(model.clone());
+
+        let mut body = encode_request(&llm_request, wire_format)
+            .map_err(|error| LlmClientError::Translation(error.to_string()))?;
+        // `encode_request` round-trips a preserved same-format body verbatim,
+        // which keeps the caller's original `model`; force the resolved model so
+        // the upstream always sees the target id.
+        set_json_model(&mut body, &model);
+        let streaming = body.get("stream").and_then(Value::as_bool).unwrap_or(false);
+
+        let builder = self.client.post(backend.url()).json(&body);
+        let builder = forward_metadata_headers(builder, metadata.as_ref());
+        let builder = apply_extra_headers(builder, backend);
+        let builder = backend.apply_auth(builder);
+
+        let http_response = builder
+            .send()
+            .await
+            .map_err(|error| LlmClientError::Transport(error.to_string()))?;
+        let status = http_response.status();
+        if !status.is_success() {
+            let body = http_response
+                .text()
+                .await
+                .unwrap_or_else(|error| format!("<failed to read error body: {error}>"));
+            if status == reqwest::StatusCode::BAD_REQUEST && backend.is_context_overflow(&body) {
+                return Err(LlmClientError::ContextWindowExceeded {
+                    model,
+                    message: body,
+                });
+            }
+            return Err(LlmClientError::UpstreamHttp {
+                status: status.as_u16(),
+                body,
+            });
+        }
+
+        let llm_response = if streaming {
+            // Adapt the reqwest body stream to plain bytes; the SSE-decode itself is
+            // transport-agnostic and lives in `switchyard-translation`.
+            let bytes = http_response.bytes_stream().map(|chunk| {
+                chunk.map(|bytes| bytes.to_vec()).map_err(|error| {
+                    Box::new(LlmClientError::Stream(format!(
+                        "stream read failed: {error}"
+                    ))) as Box<dyn std::error::Error + Send + Sync>
+                })
+            });
+            let chunks = decode_stream(bytes, wire_format)
+                .map_err(|error| LlmClientError::Stream(error.to_string()))?;
+            LlmResponse::Stream(chunks)
+        } else {
+            let body = http_response.json::<Value>().await.map_err(|error| {
+                LlmClientError::Transport(format!("invalid upstream JSON: {error}"))
+            })?;
+            let agg = decode_aggregated_response(&body, wire_format)
+                .map_err(|error| LlmClientError::Translation(error.to_string()))?;
+            LlmResponse::Agg(agg)
+        };
+
+        Ok(Response {
+            llm_response,
+            metadata,
+        })
+    }
+
+    /// The whole decode → call → encode path a wire endpoint needs, in one call.
+    ///
+    /// Decodes `raw_http_request` from `wire_format` to the neutral IR, serves it via
+    /// [`call_rewrite_model`](Self::call_rewrite_model) — the *upstream* wire format is
+    /// resolved there from the model's backend, independently of `wire_format` — then
+    /// encodes the neutral response back into `wire_format`. The result is a buffered
+    /// [`RawResponse::Buffered`] JSON body or a streamed [`RawResponse::Stream`] of
+    /// wire events (the caller frames the stream as SSE). The response's `model` is
+    /// restamped with the model the request asked for, never the upstream id.
+    ///
+    /// `http_headers` are carried through as the request's
+    /// [`Metadata::http_headers`] and forwarded to the upstream (minus the reserved
+    /// set); pass `None` to forward nothing.
+    pub async fn call_rewrite_model_raw(
+        &self,
+        ctx: Context,
+        raw_http_request: Value,
+        http_headers: Option<BTreeMap<String, String>>,
+        model: Option<&str>,
+        wire_format: WireFormat,
+    ) -> Result<RawResponse> {
+        let llm_request = decode_request(wire_format, &raw_http_request)
+            .map_err(|error| LlmClientError::Translation(error.to_string()))?;
+        // The model the client asked for; restamped onto the response so it never
+        // leaks the upstream id.
+        let requested_model = llm_request.model.clone();
+
+        let request = Request {
+            llm_request,
+            raw_request: None,
+            metadata: Some(Metadata {
+                session_id: None,
+                agent_id: None,
+                task_id: None,
+                correlation_id: None,
+                extra_metadata: None,
+                http_headers,
+                wire_format: None,
+            }),
+        };
+        let response = self.call_rewrite_model(ctx, request, model).await?;
+
+        match response.llm_response {
+            LlmResponse::Agg(agg) => {
+                let body =
+                    encode_aggregated_response(&agg, wire_format, requested_model.as_deref())
+                        .map_err(|error| LlmClientError::Translation(error.to_string()))?;
+                Ok(RawResponse::Buffered(body))
+            }
+            LlmResponse::Stream(chunks) => {
+                let events = encode_stream(chunks, wire_format, requested_model)
+                    .map_err(|error| LlmClientError::Stream(error.to_string()))?;
+                Ok(RawResponse::Stream(events))
+            }
+        }
+    }
+}
+
+#[async_trait]
+impl RoutedLlmClient for TranslatingLlmClient {
+    async fn call(
+        &self,
+        ctx: Context,
+        request: Request,
+        decision: std::sync::Arc<dyn Decision>,
+    ) -> std::result::Result<Response, Box<dyn std::error::Error + Send + Sync>> {
+        let model_name = Some(decision.selected_model());
+        self.call_rewrite_model(ctx, request, model_name)
+            .await
+            .map_err(|error| Box::new(error) as Box<dyn std::error::Error + Send + Sync>)
+    }
+}
+
+// Forwards caller-supplied metadata headers, skipping the reserved set.
+fn forward_metadata_headers(
+    mut builder: RequestBuilder,
+    metadata: Option<&Metadata>,
+) -> RequestBuilder {
+    let Some(headers) = metadata.and_then(|metadata| metadata.http_headers.as_ref()) else {
+        return builder;
+    };
+    for (name, value) in headers {
+        if is_reserved_header(name) {
+            continue;
+        }
+        builder = builder.header(name, value);
+    }
+    builder
+}
+
+// Adds the backend's static per-call headers.
+fn apply_extra_headers(mut builder: RequestBuilder, backend: &Backend) -> RequestBuilder {
+    for (name, value) in backend.extra_headers() {
+        builder = builder.header(name, value);
+    }
+    builder
+}
+
+// Overwrites the outbound body's `model` field with the resolved model id.
+fn set_json_model(body: &mut Value, model: &str) {
+    if let Value::Object(object) = body {
+        object.insert("model".to_string(), Value::String(model.to_string()));
+    }
+}
+
+// Case-insensitive membership test against RESERVED_HEADERS.
+fn is_reserved_header(name: &str) -> bool {
+    RESERVED_HEADERS
+        .iter()
+        .any(|reserved| name.eq_ignore_ascii_case(reserved))
+}
+
+#[cfg(test)]
+mod tests {
+    use std::collections::BTreeMap;
+
+    use serde_json::json;
+    use switchyard_protocol::{completion_text, text_request, LlmRequest};
+    use wiremock::matchers::{method, path};
+    use wiremock::{Mock, MockServer, ResponseTemplate};
+
+    use super::*;
+    use crate::backend::HttpBackendConfig;
+
+    fn config(base_url: &str) -> HttpBackendConfig {
+        HttpBackendConfig {
+            base_url: base_url.to_string(),
+            api_key: Some("secret".to_string()),
+            extra_headers: BTreeMap::new(),
+        }
+    }
+
+    // A one-model config list: "gpt" served over OpenAI Chat at base_url.
+    fn chat_map(base_url: &str) -> Vec<ModelConfig> {
+        vec![ModelConfig::new(
+            "gpt",
+            Backend::OpenAiChat(config(base_url)),
+            None,
+        )]
+    }
+
+    fn request_for(model: Option<&str>, stream: bool) -> Request {
+        let mut llm_request = text_request(model.map(str::to_string), "hi");
+        llm_request.stream = stream;
+        Request {
+            llm_request,
+            raw_request: None,
+            metadata: None,
+        }
+    }
+
+    // A request that pins `format` in its metadata, so the client resolves that
+    // wire format instead of the model's default backend.
+    fn request_with_wire_format(model: &str, format: WireFormat) -> Request {
+        let mut request = request_for(Some(model), false);
+        request.metadata = Some(Metadata {
+            session_id: None,
+            agent_id: None,
+            task_id: None,
+            correlation_id: None,
+            extra_metadata: None,
+            http_headers: None,
+            wire_format: Some(format),
+        });
+        request
+    }
+
+    #[test]
+    fn reserved_headers_are_case_insensitive() {
+        assert!(is_reserved_header("Authorization"));
+        assert!(is_reserved_header("content-type"));
+        assert!(is_reserved_header("X-Api-Key"));
+        assert!(!is_reserved_header("x-request-id"));
+    }
+
+    #[tokio::test]
+    async fn missing_model_errors() {
+        let client = TranslatingLlmClient::new(&[]).unwrap();
+        let Err(error) = client
+            .call_rewrite_model(Context::default(), request_for(None, false), None)
+            .await
+        else {
+            panic!("expected an error");
+        };
+        assert!(matches!(error, LlmClientError::MissingModel));
+    }
+
+    #[tokio::test]
+    async fn unknown_model_errors() {
+        let client = TranslatingLlmClient::new(&[]).unwrap();
+        let Err(error) = client
+            .call_rewrite_model(Context::default(), request_for(Some("gpt"), false), None)
+            .await
+        else {
+            panic!("expected an error");
+        };
+        assert!(matches!(error, LlmClientError::UnknownModel(model) if model == "gpt"));
+    }
+
+    #[tokio::test]
+    async fn unknown_model_format_errors() {
+        // "gpt" exists but only over OpenAI Chat; the request pins Anthropic.
+        let client = TranslatingLlmClient::new(&chat_map("https://example.test/v1")).unwrap();
+        let Err(error) = client
+            .call_rewrite_model(
+                Context::default(),
+                request_with_wire_format("gpt", WireFormat::AnthropicMessages),
+                None,
+            )
+            .await
+        else {
+            panic!("expected an error");
+        };
+        assert!(matches!(
+            error,
+            LlmClientError::UnknownModelFormat { model, format }
+                if model == "gpt" && format == WireFormat::AnthropicMessages
+        ));
+    }
+
+    #[test]
+    fn backend_for_resolves_configured_format() {
+        let client = TranslatingLlmClient::new(&chat_map("https://example.test/v1")).unwrap();
+        // "gpt" is served over OpenAI Chat only; other formats and models miss.
+        assert!(client.backend_for("gpt", WireFormat::OpenAiChat).is_some());
+        assert!(client
+            .backend_for("gpt", WireFormat::AnthropicMessages)
+            .is_none());
+        assert!(client
+            .backend_for("missing", WireFormat::OpenAiChat)
+            .is_none());
+    }
+
+    #[tokio::test]
+    async fn model_name_arg_wins_over_request_model() {
+        let client = TranslatingLlmClient::new(&[]).unwrap();
+        // Arg "b" is looked up (and reported), not the request's "a".
+        let Err(error) = client
+            .call_rewrite_model(Context::default(), request_for(Some("a"), false), Some("b"))
+            .await
+        else {
+            panic!("expected an error");
+        };
+        assert!(matches!(error, LlmClientError::UnknownModel(model) if model == "b"));
+    }
+
+    #[tokio::test]
+    async fn buffered_openai_chat_round_trips() {
+        let server = MockServer::start().await;
+        Mock::given(method("POST"))
+            .and(path("/v1/chat/completions"))
+            .respond_with(ResponseTemplate::new(200).set_body_json(json!({
+                "id": "chatcmpl-1",
+                "model": "gpt",
+                "choices": [{
+                    "index": 0,
+                    "message": {"role": "assistant", "content": "Hi there"},
+                    "finish_reason": "stop"
+                }],
+                "usage": {"prompt_tokens": 1, "completion_tokens": 2, "total_tokens": 3}
+            })))
+            .mount(&server)
+            .await;
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+
+        let response = client
+            .call_rewrite_model(Context::default(), request_for(Some("gpt"), false), None)
+            .await
+            .unwrap();
+        let agg = response
+            .llm_response
+            .into_agg()
+            .await
+            .expect("buffered response");
+        assert_eq!(completion_text(&agg), "Hi there");
+    }
+
+    #[tokio::test]
+    async fn rewrites_model_to_resolved_upstream_id() {
+        // Inbound body says "switchyard"; the upstream must receive "gpt".
+        let server = MockServer::start().await;
+        Mock::given(method("POST"))
+            .and(path("/v1/chat/completions"))
+            .and(wiremock::matchers::body_partial_json(json!({"model": "gpt"})))
+            .respond_with(ResponseTemplate::new(200).set_body_json(json!({
+                "id": "1", "model": "gpt",
+                "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+                "usage": {}
+            })))
+            .mount(&server)
+            .await;
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        // Inbound model differs from the map key / resolved model.
+        client
+            .call_rewrite_model(
+                Context::default(),
+                request_for(Some("switchyard"), false),
+                Some("gpt"),
+            )
+            .await
+            .unwrap();
+        // The body_partial_json matcher asserts the upstream saw model "gpt".
+    }
+
+    #[tokio::test]
+    async fn streaming_openai_chat_aggregates() {
+        let server = MockServer::start().await;
+        let sse = "data: {\"choices\":[{\"delta\":{\"content\":\"Hello\"}}]}\n\n\
+             data: {\"choices\":[{\"delta\":{\"content\":\" world\"}}]}\n\n\
+             data: [DONE]\n\n";
+        Mock::given(method("POST"))
+            .and(path("/v1/chat/completions"))
+            .respond_with(ResponseTemplate::new(200).set_body_raw(sse, "text/event-stream"))
+            .mount(&server)
+            .await;
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+
+        let response = client
+            .call_rewrite_model(Context::default(), request_for(Some("gpt"), true), None)
+            .await
+            .unwrap();
+        assert!(matches!(response.llm_response, LlmResponse::Stream(_)));
+        let agg = response.llm_response.into_agg().await.unwrap();
+        assert_eq!(completion_text(&agg), "Hello world");
+    }
+
+    #[tokio::test]
+    async fn upstream_500_is_upstream_http() {
+        let server = MockServer::start().await;
+        Mock::given(method("POST"))
+            .respond_with(ResponseTemplate::new(500).set_body_string("boom"))
+            .mount(&server)
+            .await;
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+
+        let Err(error) = client
+            .call_rewrite_model(Context::default(), request_for(Some("gpt"), false), None)
+            .await
+        else {
+            panic!("expected an error");
+        };
+        assert!(matches!(
+            error,
+            LlmClientError::UpstreamHttp { status: 500, .. }
+        ));
+    }
+
+    #[tokio::test]
+    async fn context_overflow_400_is_mapped() {
+        let server = MockServer::start().await;
+        Mock::given(method("POST"))
+            .respond_with(ResponseTemplate::new(400).set_body_json(json!({
+                "error": {"code": "context_length_exceeded", "message": "too big"}
+            })))
+            .mount(&server)
+            .await;
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+
+        let Err(error) = client
+            .call_rewrite_model(Context::default(), request_for(Some("gpt"), false), None)
+            .await
+        else {
+            panic!("expected an error");
+        };
+        assert!(matches!(
+            error,
+            LlmClientError::ContextWindowExceeded { model, .. } if model == "gpt"
+        ));
+    }
+
+    #[tokio::test]
+    async fn forwards_metadata_headers_except_reserved() {
+        let server = MockServer::start().await;
+        Mock::given(method("POST"))
+            .and(wiremock::matchers::header("x-request-id", "abc"))
+            // A forwarded Authorization must NOT override the backend's bearer key.
+            .and(wiremock::matchers::header("authorization", "Bearer secret"))
+            .respond_with(ResponseTemplate::new(200).set_body_json(json!({
+                "id": "1", "model": "gpt",
+                "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+                "usage": {}
+            })))
+            .mount(&server)
+            .await;
+
+        let mut headers = BTreeMap::new();
+        headers.insert("x-request-id".to_string(), "abc".to_string());
+        headers.insert("authorization".to_string(), "Bearer client-key".to_string());
+        let request = Request {
+            llm_request: LlmRequest {
+                model: Some("gpt".to_string()),
+                ..LlmRequest::default()
+            },
+            raw_request: None,
+            metadata: Some(Metadata {
+                session_id: None,
+                agent_id: None,
+                task_id: None,
+                correlation_id: None,
+                extra_metadata: None,
+                http_headers: Some(headers),
+                wire_format: None,
+            }),
+        };
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+
+        // Matchers assert forwarded x-request-id survives and reserved
+        // authorization is the backend's, not the client's.
+        client
+            .call_rewrite_model(Context::default(), request, None)
+            .await
+            .unwrap();
+    }
+
+    // Minimal `Decision` for driving the client through the `RoutedLlmClient` trait.
+    struct FixedDecision(&'static str);
+
+    impl Decision for FixedDecision {
+        fn selected_model(&self) -> &str {
+            self.0
+        }
+        fn reasoning(&self) -> Option<&str> {
+            None
+        }
+        fn as_any(&self) -> &dyn std::any::Any {
+            self
+        }
+    }
+
+    // Exercises the `RoutedLlmClient` impl: `call` resolves the upstream model from the
+    // decision (the request carries none) and round-trips a buffered response.
+    #[tokio::test]
+    async fn routed_llm_client_serves_the_decision_model() {
+        let server = MockServer::start().await;
+        Mock::given(method("POST"))
+            .and(path("/v1/chat/completions"))
+            .respond_with(ResponseTemplate::new(200).set_body_json(json!({
+                "id": "chatcmpl-1",
+                "model": "gpt",
+                "choices": [{
+                    "index": 0,
+                    "message": {"role": "assistant", "content": "routed hi"},
+                    "finish_reason": "stop"
+                }],
+                "usage": {"prompt_tokens": 1, "completion_tokens": 2, "total_tokens": 3}
+            })))
+            .mount(&server)
+            .await;
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let decision: std::sync::Arc<dyn Decision> = std::sync::Arc::new(FixedDecision("gpt"));
+        // Called through the trait; the request has no model, so "gpt" comes from the decision.
+        let response = client
+            .call(Context::default(), request_for(None, false), decision)
+            .await
+            .unwrap();
+        let agg = response
+            .llm_response
+            .into_agg()
+            .await
+            .expect("buffered response");
+        assert_eq!(completion_text(&agg), "routed hi");
+    }
+
+    // Raw path, buffered: decode an OpenAI Chat body -> call -> encode back to OpenAI
+    // Chat JSON, with the client-facing `model` restamped over the upstream id.
+    #[tokio::test]
+    async fn call_rewrite_model_raw_round_trips_buffered_json() {
+        let server = MockServer::start().await;
+        Mock::given(method("POST"))
+            .and(path("/v1/chat/completions"))
+            .respond_with(ResponseTemplate::new(200).set_body_json(json!({
+                "id": "chatcmpl-1",
+                "model": "gpt",
+                "choices": [{
+                    "index": 0,
+                    "message": {"role": "assistant", "content": "Hi there"},
+                    "finish_reason": "stop"
+                }],
+                "usage": {"prompt_tokens": 1, "completion_tokens": 2, "total_tokens": 3}
+            })))
+            .mount(&server)
+            .await;
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let raw = json!({
+            "model": "client-facing",
+            "messages": [{"role": "user", "content": "hi"}]
+        });
+        let RawResponse::Buffered(body) = client
+            .call_rewrite_model_raw(
+                Context::default(),
+                raw,
+                None,
+                Some("gpt"),
+                WireFormat::OpenAiChat,
+            )
+            .await
+            .unwrap()
+        else {
+            panic!("expected a buffered response");
+        };
+
+        assert_eq!(body["choices"][0]["message"]["content"], "Hi there");
+        // The client sees the model it asked for, not the upstream "gpt".
+        assert_eq!(body["model"], "client-facing");
+    }
+
+    // Raw path, streaming: an inbound `stream: true` request yields an unframed stream
+    // of OpenAI Chat chunk objects whose deltas reassemble the completion.
+    #[tokio::test]
+    async fn call_rewrite_model_raw_streams_wire_events() {
+        use futures::StreamExt;
+
+        let server = MockServer::start().await;
+        let sse = "data: {\"choices\":[{\"delta\":{\"content\":\"Hello\"}}]}\n\n\
+             data: {\"choices\":[{\"delta\":{\"content\":\" world\"}}]}\n\n\
+             data: [DONE]\n\n";
+        Mock::given(method("POST"))
+            .and(path("/v1/chat/completions"))
+            .respond_with(ResponseTemplate::new(200).set_body_raw(sse, "text/event-stream"))
+            .mount(&server)
+            .await;
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let raw = json!({
+            "model": "client-facing",
+            "messages": [{"role": "user", "content": "hi"}],
+            "stream": true
+        });
+        let RawResponse::Stream(stream) = client
+            .call_rewrite_model_raw(
+                Context::default(),
+                raw,
+                None,
+                Some("gpt"),
+                WireFormat::OpenAiChat,
+            )
+            .await
+            .unwrap()
+        else {
+            panic!("expected a streamed response");
+        };
+
+        let events: Vec<Value> = stream.map(|item| item.unwrap()).collect().await;
+        assert!(!events.is_empty(), "expected at least one wire event");
+        let content: String = events
+            .iter()
+            .filter_map(|event| event["choices"][0]["delta"]["content"].as_str())
+            .collect();
+        assert_eq!(content, "Hello world");
+    }
+
+    // Raw path forwards caller headers (minus the reserved set) to the upstream.
+    #[tokio::test]
+    async fn call_rewrite_model_raw_forwards_headers() {
+        let server = MockServer::start().await;
+        Mock::given(method("POST"))
+            .and(wiremock::matchers::header("x-request-id", "abc"))
+            // A forwarded authorization must NOT override the backend's bearer key.
+            .and(wiremock::matchers::header("authorization", "Bearer secret"))
+            .respond_with(ResponseTemplate::new(200).set_body_json(json!({
+                "id": "1", "model": "gpt",
+                "choices": [{"index": 0, "message": {"role": "assistant", "content": "ok"}, "finish_reason": "stop"}],
+                "usage": {}
+            })))
+            .mount(&server)
+            .await;
+
+        let mut headers = BTreeMap::new();
+        headers.insert("x-request-id".to_string(), "abc".to_string());
+        headers.insert("authorization".to_string(), "Bearer client-key".to_string());
+
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let raw = json!({"model": "gpt", "messages": [{"role": "user", "content": "hi"}]});
+        // Matchers assert the forwarded x-request-id survives and reserved
+        // authorization is the backend's, not the client's.
+        client
+            .call_rewrite_model_raw(
+                Context::default(),
+                raw,
+                Some(headers),
+                Some("gpt"),
+                WireFormat::OpenAiChat,
+            )
+            .await
+            .unwrap();
+    }
+}
diff --git a/crates/libsy-llm-client/src/error.rs b/crates/libsy-llm-client/src/error.rs
new file mode 100644
index 00000000..d02c0523
--- /dev/null
+++ b/crates/libsy-llm-client/src/error.rs
@@ -0,0 +1,157 @@
+// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+
+//! Error type for the LLM client, plus shared context-window-overflow detection.
+//!
+//! The overflow detection is ported from
+//! `switchyard-components/src/backends/context_overflow.rs`; that helper is
+//! crate-private there and this crate cannot depend on `switchyard-components`,
+//! so the small, self-contained logic is vendored here.
+
+use serde_json::Value;
+use switchyard_translation::WireFormat;
+use thiserror::Error;
+
+/// Result alias for LLM client operations.
+pub type Result<T> = std::result::Result<T, LlmClientError>;
+
+/// Failures surfaced while resolving, translating, sending, or decoding a call.
+#[derive(Debug, Error)]
+pub enum LlmClientError {
+    /// The resolved model name has no entry in the client's backend map.
+    #[error("no backend configured for model {0:?}")]
+    UnknownModel(String),
+
+    /// The model exists but has no backend configured for the requested format.
+    #[error("model {model:?} has no backend for format {format}")]
+    UnknownModelFormat {
+        /// Model that was resolved.
+        model: String,
+        /// Wire format requested for the call.
+        format: WireFormat,
+    },
+
+    /// Neither an explicit `model_name` nor a model on the request was given.
+    #[error("no model given: pass model_name or set request.llm_request.model")]
+    MissingModel,
+
+    /// Request encoding or response decoding failed in the translation engine.
+    #[error("translation failed: {0}")]
+    Translation(String),
+
+    /// The HTTP request could not be sent (connect/timeout/transport failure).
+    #[error("upstream transport error: {0}")]
+    Transport(String),
+
+    /// An upstream 400 whose body is detected as a context-window overflow.
+    ///
+    /// Kept distinct from [`LlmClientError::UpstreamHttp`] and checked first so a
+    /// caller can implement evict-and-retry by matching this variant instead of
+    /// sniffing error strings.
+    #[error("context window exceeded for model {model}: {message}")]
+    ContextWindowExceeded {
+        /// Model that overflowed, as sent upstream.
+        model: String,
+        /// Raw upstream error body.
+        message: String,
+    },
+
+    /// A non-2xx upstream response that is not a context-window overflow.
+    #[error("upstream returned HTTP {status}: {body}")]
+    UpstreamHttp {
+        /// Upstream HTTP status code.
+        status: u16,
+        /// Raw upstream error body.
+        body: String,
+    },
+
+    /// A streamed response failed mid-flight (read error or malformed frame).
+    #[error("stream error: {0}")]
+    Stream(String),
+}
+
+/// Detects a context-overflow body using a provider-supplied structured check
+/// and a substring phrase list.
+///
+/// Parses the body once, runs the structured check (e.g. against `error.code`),
+/// then falls back to matching phrases against `error.message` or — when the
+/// body is not JSON — the raw body. Centralizing the shape means each new
+/// provider-wrap of the canonical error is a one-line phrase entry, not a fork
+/// of the parsing logic.
+pub(crate) fn is_overflow_body<F>(body: &str, structured_check: F, phrases: &[&str]) -> bool
+where
+    F: Fn(&Value) -> bool,
+{
+    if let Ok(value) = serde_json::from_str::<Value>(body) {
+        if structured_check(&value) {
+            return true;
+        }
+        if let Some(message) = value
+            .get("error")
+            .and_then(|err| err.get("message"))
+            .and_then(Value::as_str)
+        {
+            if contains_any(message, phrases) {
+                return true;
+            }
+        }
+    }
+    // Some upstream proxies return plain-text bodies; fall through to a string
+    // match on the raw body.
+    contains_any(body, phrases)
+}
+
+// Case-insensitive substring match of any phrase against the message.
+fn contains_any(message: &str, phrases: &[&str]) -> bool {
+    let lower = message.to_ascii_lowercase();
+    phrases.iter().any(|phrase| lower.contains(phrase))
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    const PHRASES: &[&str] = &["context window", "too long"];
+
+    fn never(_value: &Value) -> bool {
+        false
+    }
+
+    #[test]
+    fn structured_check_short_circuits() {
+        let body = r#"{"error":{"code":"context_length_exceeded","message":"unrelated"}}"#;
+        let matched = is_overflow_body(
+            body,
+            |value| {
+                value
+                    .get("error")
+                    .and_then(|err| err.get("code"))
+                    .and_then(Value::as_str)
+                    == Some("context_length_exceeded")
+            },
+            &[],
+        );
+        assert!(matched);
+    }
+
+    #[test]
+    fn falls_back_to_message_phrase_match() {
+        let body = r#"{"error":{"message":"prompt too long"}}"#;
+        assert!(is_overflow_body(body, never, PHRASES));
+    }
+
+    #[test]
+    fn matches_plain_text_body() {
+        assert!(is_overflow_body(
+            "plain text mentioning context window",
+            never,
+            PHRASES
+        ));
+    }
+
+    #[test]
+    fn non_match_returns_false() {
+        let body = r#"{"error":{"message":"rate limit exceeded"}}"#;
+        assert!(!is_overflow_body(body, never, PHRASES));
+    }
+}
diff --git a/crates/libsy-llm-client/src/lib.rs b/crates/libsy-llm-client/src/lib.rs
new file mode 100644
index 00000000..97fe5b3a
--- /dev/null
+++ b/crates/libsy-llm-client/src/lib.rs
@@ -0,0 +1,30 @@
+// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+
+//! HTTP LLM client that speaks Switchyard's neutral IR directly.
+//!
+//! [`TranslatingLlmClient`] maps a model name (and the wire format resolved from
+//! the request) to a [`Backend`],
+//! encodes a [`switchyard_protocol::Request`] to that backend's wire format via
+//! `switchyard-translation`, applies auth and forwards caller headers, makes the
+//! HTTP call with a shared [`reqwest::Client`], and decodes the wire response
+//! back to a [`switchyard_protocol::Response`] — supporting both buffered and
+//! streamed responses.
+//!
+//! The crate depends only on `libsy-protocol` and `switchyard-translation`. Neutral
+//! IR encode/decode — including SSE stream decoding — lives in
+//! `switchyard-translation`; this crate is the HTTP transport around it. The
+//! context-overflow detection in [`mod@error`] is vendored from
+//! `switchyard-components` (whose copy is crate-private and unavailable here); a
+//! future refactor could promote it to a shared location.
+
+pub mod backend;
+pub mod client;
+pub mod error;
+pub mod raw;
+
+pub use backend::{Backend, HttpBackendConfig};
+pub use client::{ModelConfig, TranslatingLlmClient};
+pub use error::{LlmClientError, Result};
+pub use raw::RawResponse;
+pub use switchyard_translation::RawEventStream;
diff --git a/crates/libsy-llm-client/src/raw.rs b/crates/libsy-llm-client/src/raw.rs
new file mode 100644
index 00000000..7391c1a0
--- /dev/null
+++ b/crates/libsy-llm-client/src/raw.rs
@@ -0,0 +1,22 @@
+// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+
+//! The raw wire result of a call.
+//!
+//! The encoders that produce it — buffered JSON and the streamed wire-event
+//! encoder — live in `switchyard-translation` alongside the rest of the neutral-IR
+//! codecs; this module only holds the result type they feed.
+
+use serde_json::Value;
+use switchyard_translation::RawEventStream;
+
+/// The wire result of
+/// [`call_rewrite_model_raw`](crate::TranslatingLlmClient::call_rewrite_model_raw):
+/// a buffered JSON body, or a live stream of wire events — both already in the
+/// requested wire format.
+pub enum RawResponse {
+    /// A complete JSON response body.
+    Buffered(Value),
+    /// A live stream of wire-format event objects, ready for SSE framing.
+    Stream(RawEventStream),
+}

From 13de2b6f61c855c00f0d30efef03164c06e1df09 Mon Sep 17 00:00:00 2001
From: Graham King <grahamk@nvidia.com>
Date: Mon, 20 Jul 2026 17:06:20 -0400
Subject: [PATCH 2/3] Tweaks from feedback

- Update README to match new API
- Make tests return Error instead of `unwrap` to match project rules.
- Redact API key from Debug output

Thanks Code Rabbit

Assisted-by: Codex:GPT 5.6 Sol medium

Signed-off-by: Graham King <grahamk@nvidia.com>
---
 crates/libsy-llm-client/README.md      | 103 ++++++++++-------
 crates/libsy-llm-client/src/backend.rs |  14 ++-
 crates/libsy-llm-client/src/client.rs  | 147 ++++++++++++++-----------
 crates/libsy-llm-client/src/lib.rs     |   7 --
 4 files changed, 153 insertions(+), 118 deletions(-)

diff --git a/crates/libsy-llm-client/README.md b/crates/libsy-llm-client/README.md
index 5bc9afee..b4d31a9c 100644
--- a/crates/libsy-llm-client/README.md
+++ b/crates/libsy-llm-client/README.md
@@ -6,19 +6,20 @@ SPDX-License-Identifier: Apache-2.0
 # libsy-llm-client
 
 An HTTP client that speaks Switchyard's neutral IR directly. You hand it a
-[`libsy_protocol::Request`] and a model name; it looks up the configured backend,
+[`switchyard_protocol::Request`] and a model name; it looks up the configured backend,
 encodes the request to that backend's wire format, adds auth and forwards your
 headers, makes the call with a shared `reqwest::Client`, and decodes the reply
-back into a [`libsy_protocol::Response`] — buffered or streamed.
+back into a [`switchyard_protocol::Response`] — buffered or streamed.
 
-It depends only on `libsy-protocol` and `switchyard-translation`; no server, no
+It depends only on `switchyard-protocol` and `switchyard-translation`; no server, no
 provider SDK. For an HTTP front door built on top of it, see [`libsy-proxy`].
 
 ## Concepts
 
-- **Two-layer map.** A client is built from `model → wire format → Backend`, so
-  one model can be served over several upstream formats. `call(request, model, format)`
-  picks the backend by `(model, format)`.
+- **Model configs.** A client is built from [`ModelConfig`] values. Each model has a
+  default [`Backend`] and can have additional backends for other wire formats.
+  [`TranslatingLlmClient::call_rewrite_model`] uses the request's metadata wire format
+  when set, otherwise the model's default backend.
 - **Backends.** A [`Backend`] is one of `OpenAiChat`, `OpenAiResponses`, or
   `Anthropic`, each wrapping an [`HttpBackendConfig`] (`base_url`, `api_key`,
   static `extra_headers`). The variant fixes the URL path and auth scheme
@@ -45,34 +46,35 @@ switchyard-translation = { path = "../switchyard-translation" }   # for WireForm
 ### Build a client
 
 ```rust
-use std::collections::{BTreeMap, HashMap};
-use switchyard_llm_client::{Backend, HttpBackendConfig, LlmModelClient};
-use switchyard_translation::WireFormat;
+use std::collections::BTreeMap;
+use switchyard_llm_client::{
+    Backend, HttpBackendConfig, ModelConfig, TranslatingLlmClient,
+};
 
-fn build_client() -> libsy_llm_client::Result<LlmModelClient> {
+fn build_client() -> switchyard_llm_client::Result<TranslatingLlmClient> {
     let openai = HttpBackendConfig {
         base_url: "https://api.openai.com/v1".to_string(),
         api_key: std::env::var("OPENAI_API_KEY").ok(),
         extra_headers: BTreeMap::new(),
     };
 
-    // model → format → backend
-    let map = HashMap::from([(
-        "gpt-4o-mini".to_string(),
-        HashMap::from([(WireFormat::OpenAiChat, Backend::OpenAiChat(openai))]),
-    )]);
+    let models = [ModelConfig::new(
+        "gpt-4o-mini",
+        Backend::OpenAiChat(openai),
+        None,
+    )];
 
-    LlmModelClient::new(map)
+    TranslatingLlmClient::new(&models)
 }
 ```
 
 ### Buffered call
 
 ```rust
-use libsy_protocol::{completion_text, text_request, Request};
-use switchyard_translation::WireFormat;
+use switchyard_llm_client::{LlmClientError, TranslatingLlmClient};
+use switchyard_protocol::{completion_text, text_request, Context, LlmResponse, Request};
 
-async fn ask(client: &LlmModelClient) -> libsy_llm_client::Result<String> {
+async fn ask(client: &TranslatingLlmClient) -> switchyard_llm_client::Result<String> {
     let request = Request {
         llm_request: text_request(None, "Say hello in five words."),
         raw_request: None,
@@ -81,12 +83,15 @@ async fn ask(client: &LlmModelClient) -> libsy_llm_client::Result<String> {
 
     // model_name wins over request.llm_request.model; it is also sent upstream.
     let response = client
-        .call(request, Some("gpt-4o-mini"), WireFormat::OpenAiChat)
+        .call_rewrite_model(Context::default(), request, Some("gpt-4o-mini"))
         .await?;
 
-    // Buffered backends return `Agg`; a stream can be folded with `.aggregate()`.
-    let agg = response.llm_response.aggregate().await.unwrap();
-    Ok(completion_text(&agg))
+    match response.llm_response {
+        LlmResponse::Agg(agg) => Ok(completion_text(&agg)),
+        LlmResponse::Stream(_) => Err(LlmClientError::Stream(
+            "expected a buffered response".to_string(),
+        )),
+    }
 }
 ```
 
@@ -96,16 +101,16 @@ Set `stream` on the IR request and drive the returned chunk stream:
 
 ```rust
 use futures_util::StreamExt;
-use libsy_protocol::{text_request, LlmResponse, LlmResponseChunk, Request};
-use switchyard_translation::WireFormat;
+use switchyard_llm_client::{LlmClientError, TranslatingLlmClient};
+use switchyard_protocol::{text_request, Context, LlmResponse, LlmResponseChunk, Request};
 
-async fn stream(client: &LlmModelClient) -> libsy_llm_client::Result<()> {
+async fn stream(client: &TranslatingLlmClient) -> switchyard_llm_client::Result<()> {
     let mut llm_request = text_request(None, "Count to five.");
     llm_request.stream = true;
     let request = Request { llm_request, raw_request: None, metadata: None };
 
     let response = client
-        .call(request, Some("gpt-4o-mini"), WireFormat::OpenAiChat)
+        .call_rewrite_model(Context::default(), request, Some("gpt-4o-mini"))
         .await?;
 
     if let LlmResponse::Stream(mut chunks) = response.llm_response {
@@ -113,7 +118,7 @@ async fn stream(client: &LlmModelClient) -> libsy_llm_client::Result<()> {
             match item {
                 Ok(LlmResponseChunk::TextDelta { text, .. }) => print!("{text}"),
                 Ok(_) => {}                       // usage, tool-call deltas, message start/stop
-                Err(error) => return Err(libsy_llm_client::LlmClientError::Stream(error.to_string())),
+                Err(error) => return Err(LlmClientError::Stream(error.to_string())),
             }
         }
     }
@@ -126,18 +131,31 @@ async fn stream(client: &LlmModelClient) -> libsy_llm_client::Result<()> {
 The request/response are translated through the neutral IR, so the inbound shape
 you build and the backend's wire format are independent. Pointing a
 `WireFormat::AnthropicMessages` backend at an Anthropic endpoint while building
-requests with the same helpers works the same way — pass the matching format to
-`call`. Register several formats under one model to serve it over more than one
-upstream API:
+requests with the same helpers works the same way. Set `request.metadata.wire_format`
+to select a non-default backend before calling `call_rewrite_model`. Register several
+formats under one model to serve it over more than one upstream API:
 
 ```rust
-let backends = HashMap::from([
-    (WireFormat::OpenAiChat,      Backend::OpenAiChat(openai_chat_cfg)),
-    (WireFormat::OpenAiResponses, Backend::OpenAiResponses(openai_resp_cfg)),
-    (WireFormat::AnthropicMessages, Backend::Anthropic(anthropic_cfg)),
-]);
-let map = HashMap::from([("my-model".to_string(), backends)]);
-// client.formats_for("my-model") -> the configured formats
+use switchyard_llm_client::{
+    Backend, HttpBackendConfig, ModelConfig, TranslatingLlmClient,
+};
+
+fn build_multi_format_client(
+    openai_chat: HttpBackendConfig,
+    openai_responses: HttpBackendConfig,
+    anthropic: HttpBackendConfig,
+) -> switchyard_llm_client::Result<TranslatingLlmClient> {
+    let models = [ModelConfig::new(
+        "my-model",
+        Backend::OpenAiChat(openai_chat),
+        Some(vec![
+            Backend::OpenAiResponses(openai_responses),
+            Backend::Anthropic(anthropic),
+        ]),
+    )];
+
+    TranslatingLlmClient::new(&models)
+}
 ```
 
 ## Headers & auth
@@ -152,7 +170,7 @@ let map = HashMap::from([("my-model".to_string(), backends)]);
 
 ## Errors
 
-`call` returns [`LlmClientError`]:
+`call_rewrite_model` returns [`LlmClientError`]:
 
 | Variant | When |
 |---------|------|
@@ -165,10 +183,11 @@ let map = HashMap::from([("my-model".to_string(), backends)]);
 | `UpstreamHttp { status, body }` | any other non-2xx upstream response |
 | `Stream(msg)` | mid-stream read / malformed frame |
 
-[`libsy_protocol::Request`]: ../libsy-protocol
-[`libsy_protocol::Response`]: ../libsy-protocol
+[`switchyard_protocol::Request`]: ../libsy-protocol
+[`switchyard_protocol::Response`]: ../libsy-protocol
 [`libsy-proxy`]: ../libsy-proxy
 [`Backend`]: src/backend.rs
 [`HttpBackendConfig`]: src/backend.rs
-[`LlmModelClient`]: src/client.rs
+[`ModelConfig`]: src/client.rs
+[`TranslatingLlmClient::call_rewrite_model`]: src/client.rs
 [`LlmClientError`]: src/error.rs
diff --git a/crates/libsy-llm-client/src/backend.rs b/crates/libsy-llm-client/src/backend.rs
index 0512f2ac..c907f290 100644
--- a/crates/libsy-llm-client/src/backend.rs
+++ b/crates/libsy-llm-client/src/backend.rs
@@ -3,7 +3,7 @@
 
 //! Per-provider backend configuration: wire format, upstream URL, and auth.
 
-use std::collections::BTreeMap;
+use std::{collections::BTreeMap, fmt};
 
 use reqwest::RequestBuilder;
 use switchyard_protocol::WireFormat;
@@ -31,7 +31,7 @@ const ANTHROPIC_OVERFLOW_PHRASES: &[&str] = &[
 ];
 
 /// Shared HTTP configuration for one upstream backend.
-#[derive(Clone, Debug)]
+#[derive(Clone)]
 pub struct HttpBackendConfig {
     /// Base URL of the provider API (e.g. `https://api.openai.com/v1`).
     pub base_url: String,
@@ -41,6 +41,16 @@ pub struct HttpBackendConfig {
     pub extra_headers: BTreeMap<String, String>,
 }
 
+impl fmt::Debug for HttpBackendConfig {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.debug_struct("HttpBackendConfig")
+            .field("base_url", &self.base_url)
+            .field("api_key", &self.api_key.as_ref().map(|_| "[REDACTED]"))
+            .field("extra_headers", &self.extra_headers)
+            .finish()
+    }
+}
+
 /// A configured upstream backend, one variant per built-in wire format.
 ///
 /// The variant fixes the wire format, URL path, and auth scheme together so no
diff --git a/crates/libsy-llm-client/src/client.rs b/crates/libsy-llm-client/src/client.rs
index f3bfc3e4..a745ddef 100644
--- a/crates/libsy-llm-client/src/client.rs
+++ b/crates/libsy-llm-client/src/client.rs
@@ -22,6 +22,7 @@ use crate::backend::Backend;
 use crate::error::{LlmClientError, Result};
 use crate::raw::RawResponse;
 
+// TODO: Why is this here? What does it do?
 // Headers this client owns or that are hop-by-hop; never forwarded from the
 // caller's metadata. Auth/version/content-type are set by the backend or the
 // JSON body, so a forwarded copy would either be ignored or conflict. Compared
@@ -32,6 +33,10 @@ const RESERVED_HEADERS: &[&str] = &[
     "content-length",
     "connection",
     "authorization",
+    "proxy-authorization",
+    "proxy-authenticate",
+    "cookie",
+    "set-cookie",
     "x-api-key",
     "anthropic-version",
     "content-type",
@@ -333,6 +338,7 @@ fn is_reserved_header(name: &str) -> bool {
 #[cfg(test)]
 mod tests {
     use std::collections::BTreeMap;
+    use std::error::Error;
 
     use serde_json::json;
     use switchyard_protocol::{completion_text, text_request, LlmRequest};
@@ -385,17 +391,10 @@ mod tests {
         request
     }
 
-    #[test]
-    fn reserved_headers_are_case_insensitive() {
-        assert!(is_reserved_header("Authorization"));
-        assert!(is_reserved_header("content-type"));
-        assert!(is_reserved_header("X-Api-Key"));
-        assert!(!is_reserved_header("x-request-id"));
-    }
-
     #[tokio::test]
-    async fn missing_model_errors() {
-        let client = TranslatingLlmClient::new(&[]).unwrap();
+    async fn missing_model_errors(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
+        let client = TranslatingLlmClient::new(&[])?;
         let Err(error) = client
             .call_rewrite_model(Context::default(), request_for(None, false), None)
             .await
@@ -403,11 +402,13 @@ mod tests {
             panic!("expected an error");
         };
         assert!(matches!(error, LlmClientError::MissingModel));
+        Ok(())
     }
 
     #[tokio::test]
-    async fn unknown_model_errors() {
-        let client = TranslatingLlmClient::new(&[]).unwrap();
+    async fn unknown_model_errors(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
+        let client = TranslatingLlmClient::new(&[])?;
         let Err(error) = client
             .call_rewrite_model(Context::default(), request_for(Some("gpt"), false), None)
             .await
@@ -415,12 +416,14 @@ mod tests {
             panic!("expected an error");
         };
         assert!(matches!(error, LlmClientError::UnknownModel(model) if model == "gpt"));
+        Ok(())
     }
 
     #[tokio::test]
-    async fn unknown_model_format_errors() {
+    async fn unknown_model_format_errors(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         // "gpt" exists but only over OpenAI Chat; the request pins Anthropic.
-        let client = TranslatingLlmClient::new(&chat_map("https://example.test/v1")).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map("https://example.test/v1"))?;
         let Err(error) = client
             .call_rewrite_model(
                 Context::default(),
@@ -436,11 +439,13 @@ mod tests {
             LlmClientError::UnknownModelFormat { model, format }
                 if model == "gpt" && format == WireFormat::AnthropicMessages
         ));
+        Ok(())
     }
 
     #[test]
-    fn backend_for_resolves_configured_format() {
-        let client = TranslatingLlmClient::new(&chat_map("https://example.test/v1")).unwrap();
+    fn backend_for_resolves_configured_format(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
+        let client = TranslatingLlmClient::new(&chat_map("https://example.test/v1"))?;
         // "gpt" is served over OpenAI Chat only; other formats and models miss.
         assert!(client.backend_for("gpt", WireFormat::OpenAiChat).is_some());
         assert!(client
@@ -449,11 +454,13 @@ mod tests {
         assert!(client
             .backend_for("missing", WireFormat::OpenAiChat)
             .is_none());
+        Ok(())
     }
 
     #[tokio::test]
-    async fn model_name_arg_wins_over_request_model() {
-        let client = TranslatingLlmClient::new(&[]).unwrap();
+    async fn model_name_arg_wins_over_request_model(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
+        let client = TranslatingLlmClient::new(&[])?;
         // Arg "b" is looked up (and reported), not the request's "a".
         let Err(error) = client
             .call_rewrite_model(Context::default(), request_for(Some("a"), false), Some("b"))
@@ -462,10 +469,12 @@ mod tests {
             panic!("expected an error");
         };
         assert!(matches!(error, LlmClientError::UnknownModel(model) if model == "b"));
+        Ok(())
     }
 
     #[tokio::test]
-    async fn buffered_openai_chat_round_trips() {
+    async fn buffered_openai_chat_round_trips(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         let server = MockServer::start().await;
         Mock::given(method("POST"))
             .and(path("/v1/chat/completions"))
@@ -482,22 +491,20 @@ mod tests {
             .mount(&server)
             .await;
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
 
         let response = client
             .call_rewrite_model(Context::default(), request_for(Some("gpt"), false), None)
-            .await
-            .unwrap();
-        let agg = response
-            .llm_response
-            .into_agg()
-            .await
-            .expect("buffered response");
+            .await?;
+        let agg = response.llm_response.into_agg().await?;
         assert_eq!(completion_text(&agg), "Hi there");
+
+        Ok(())
     }
 
     #[tokio::test]
-    async fn rewrites_model_to_resolved_upstream_id() {
+    async fn rewrites_model_to_resolved_upstream_id(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         // Inbound body says "switchyard"; the upstream must receive "gpt".
         let server = MockServer::start().await;
         Mock::given(method("POST"))
@@ -511,7 +518,7 @@ mod tests {
             .mount(&server)
             .await;
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
         // Inbound model differs from the map key / resolved model.
         client
             .call_rewrite_model(
@@ -519,13 +526,14 @@ mod tests {
                 request_for(Some("switchyard"), false),
                 Some("gpt"),
             )
-            .await
-            .unwrap();
+            .await?;
         // The body_partial_json matcher asserts the upstream saw model "gpt".
+        Ok(())
     }
 
     #[tokio::test]
-    async fn streaming_openai_chat_aggregates() {
+    async fn streaming_openai_chat_aggregates(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         let server = MockServer::start().await;
         let sse = "data: {\"choices\":[{\"delta\":{\"content\":\"Hello\"}}]}\n\n\
              data: {\"choices\":[{\"delta\":{\"content\":\" world\"}}]}\n\n\
@@ -536,26 +544,27 @@ mod tests {
             .mount(&server)
             .await;
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
 
         let response = client
             .call_rewrite_model(Context::default(), request_for(Some("gpt"), true), None)
-            .await
-            .unwrap();
+            .await?;
         assert!(matches!(response.llm_response, LlmResponse::Stream(_)));
-        let agg = response.llm_response.into_agg().await.unwrap();
+        let agg = response.llm_response.into_agg().await?;
         assert_eq!(completion_text(&agg), "Hello world");
+        Ok(())
     }
 
     #[tokio::test]
-    async fn upstream_500_is_upstream_http() {
+    async fn upstream_500_is_upstream_http(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         let server = MockServer::start().await;
         Mock::given(method("POST"))
             .respond_with(ResponseTemplate::new(500).set_body_string("boom"))
             .mount(&server)
             .await;
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
 
         let Err(error) = client
             .call_rewrite_model(Context::default(), request_for(Some("gpt"), false), None)
@@ -567,10 +576,12 @@ mod tests {
             error,
             LlmClientError::UpstreamHttp { status: 500, .. }
         ));
+        Ok(())
     }
 
     #[tokio::test]
-    async fn context_overflow_400_is_mapped() {
+    async fn context_overflow_400_is_mapped(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         let server = MockServer::start().await;
         Mock::given(method("POST"))
             .respond_with(ResponseTemplate::new(400).set_body_json(json!({
@@ -579,7 +590,7 @@ mod tests {
             .mount(&server)
             .await;
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
 
         let Err(error) = client
             .call_rewrite_model(Context::default(), request_for(Some("gpt"), false), None)
@@ -591,10 +602,12 @@ mod tests {
             error,
             LlmClientError::ContextWindowExceeded { model, .. } if model == "gpt"
         ));
+        Ok(())
     }
 
     #[tokio::test]
-    async fn forwards_metadata_headers_except_reserved() {
+    async fn forwards_metadata_headers_except_reserved(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         let server = MockServer::start().await;
         Mock::given(method("POST"))
             .and(wiremock::matchers::header("x-request-id", "abc"))
@@ -628,14 +641,14 @@ mod tests {
             }),
         };
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
 
         // Matchers assert forwarded x-request-id survives and reserved
         // authorization is the backend's, not the client's.
         client
             .call_rewrite_model(Context::default(), request, None)
-            .await
-            .unwrap();
+            .await?;
+        Ok(())
     }
 
     // Minimal `Decision` for driving the client through the `RoutedLlmClient` trait.
@@ -656,7 +669,8 @@ mod tests {
     // Exercises the `RoutedLlmClient` impl: `call` resolves the upstream model from the
     // decision (the request carries none) and round-trips a buffered response.
     #[tokio::test]
-    async fn routed_llm_client_serves_the_decision_model() {
+    async fn routed_llm_client_serves_the_decision_model(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         let server = MockServer::start().await;
         Mock::given(method("POST"))
             .and(path("/v1/chat/completions"))
@@ -673,25 +687,22 @@ mod tests {
             .mount(&server)
             .await;
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
         let decision: std::sync::Arc<dyn Decision> = std::sync::Arc::new(FixedDecision("gpt"));
         // Called through the trait; the request has no model, so "gpt" comes from the decision.
         let response = client
             .call(Context::default(), request_for(None, false), decision)
-            .await
-            .unwrap();
-        let agg = response
-            .llm_response
-            .into_agg()
-            .await
-            .expect("buffered response");
+            .await?;
+        let agg = response.llm_response.into_agg().await?;
         assert_eq!(completion_text(&agg), "routed hi");
+        Ok(())
     }
 
     // Raw path, buffered: decode an OpenAI Chat body -> call -> encode back to OpenAI
     // Chat JSON, with the client-facing `model` restamped over the upstream id.
     #[tokio::test]
-    async fn call_rewrite_model_raw_round_trips_buffered_json() {
+    async fn call_rewrite_model_raw_round_trips_buffered_json(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         let server = MockServer::start().await;
         Mock::given(method("POST"))
             .and(path("/v1/chat/completions"))
@@ -708,7 +719,7 @@ mod tests {
             .mount(&server)
             .await;
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
         let raw = json!({
             "model": "client-facing",
             "messages": [{"role": "user", "content": "hi"}]
@@ -721,8 +732,7 @@ mod tests {
                 Some("gpt"),
                 WireFormat::OpenAiChat,
             )
-            .await
-            .unwrap()
+            .await?
         else {
             panic!("expected a buffered response");
         };
@@ -730,13 +740,15 @@ mod tests {
         assert_eq!(body["choices"][0]["message"]["content"], "Hi there");
         // The client sees the model it asked for, not the upstream "gpt".
         assert_eq!(body["model"], "client-facing");
+        Ok(())
     }
 
     // Raw path, streaming: an inbound `stream: true` request yields an unframed stream
     // of OpenAI Chat chunk objects whose deltas reassemble the completion.
     #[tokio::test]
-    async fn call_rewrite_model_raw_streams_wire_events() {
-        use futures::StreamExt;
+    async fn call_rewrite_model_raw_streams_wire_events(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
+        use futures::TryStreamExt;
 
         let server = MockServer::start().await;
         let sse = "data: {\"choices\":[{\"delta\":{\"content\":\"Hello\"}}]}\n\n\
@@ -748,7 +760,7 @@ mod tests {
             .mount(&server)
             .await;
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
         let raw = json!({
             "model": "client-facing",
             "messages": [{"role": "user", "content": "hi"}],
@@ -762,24 +774,25 @@ mod tests {
                 Some("gpt"),
                 WireFormat::OpenAiChat,
             )
-            .await
-            .unwrap()
+            .await?
         else {
             panic!("expected a streamed response");
         };
 
-        let events: Vec<Value> = stream.map(|item| item.unwrap()).collect().await;
+        let events: Vec<Value> = stream.try_collect().await?;
         assert!(!events.is_empty(), "expected at least one wire event");
         let content: String = events
             .iter()
             .filter_map(|event| event["choices"][0]["delta"]["content"].as_str())
             .collect();
         assert_eq!(content, "Hello world");
+        Ok(())
     }
 
     // Raw path forwards caller headers (minus the reserved set) to the upstream.
     #[tokio::test]
-    async fn call_rewrite_model_raw_forwards_headers() {
+    async fn call_rewrite_model_raw_forwards_headers(
+    ) -> std::result::Result<(), Box<dyn Error + Sync + Send + 'static>> {
         let server = MockServer::start().await;
         Mock::given(method("POST"))
             .and(wiremock::matchers::header("x-request-id", "abc"))
@@ -797,7 +810,7 @@ mod tests {
         headers.insert("x-request-id".to_string(), "abc".to_string());
         headers.insert("authorization".to_string(), "Bearer client-key".to_string());
 
-        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri()))).unwrap();
+        let client = TranslatingLlmClient::new(&chat_map(&format!("{}/v1", server.uri())))?;
         let raw = json!({"model": "gpt", "messages": [{"role": "user", "content": "hi"}]});
         // Matchers assert the forwarded x-request-id survives and reserved
         // authorization is the backend's, not the client's.
@@ -809,7 +822,7 @@ mod tests {
                 Some("gpt"),
                 WireFormat::OpenAiChat,
             )
-            .await
-            .unwrap();
+            .await?;
+        Ok(())
     }
 }
diff --git a/crates/libsy-llm-client/src/lib.rs b/crates/libsy-llm-client/src/lib.rs
index 97fe5b3a..22a1c472 100644
--- a/crates/libsy-llm-client/src/lib.rs
+++ b/crates/libsy-llm-client/src/lib.rs
@@ -10,13 +10,6 @@
 //! HTTP call with a shared [`reqwest::Client`], and decodes the wire response
 //! back to a [`switchyard_protocol::Response`] — supporting both buffered and
 //! streamed responses.
-//!
-//! The crate depends only on `libsy-protocol` and `switchyard-translation`. Neutral
-//! IR encode/decode — including SSE stream decoding — lives in
-//! `switchyard-translation`; this crate is the HTTP transport around it. The
-//! context-overflow detection in [`mod@error`] is vendored from
-//! `switchyard-components` (whose copy is crate-private and unavailable here); a
-//! future refactor could promote it to a shared location.
 
 pub mod backend;
 pub mod client;

From 4ec1acfc8b672405cbf6fd5d3e4cebf81a573b52 Mon Sep 17 00:00:00 2001
From: Graham King <grahamk@nvidia.com>
Date: Tue, 21 Jul 2026 10:37:01 -0400
Subject: [PATCH 3/3] Dependency cleanup

Move one dep to dev-dependencies, remove another.

Signed-off-by: Graham King <grahamk@nvidia.com>
---
 Cargo.lock                         | 2461 ++++++++++++++++++++++++++++
 crates/libsy-llm-client/Cargo.toml |    5 +-
 crates/libsy-llm-client/README.md  |    2 +-
 3 files changed, 2464 insertions(+), 4 deletions(-)
 create mode 100644 Cargo.lock

diff --git a/Cargo.lock b/Cargo.lock
new file mode 100644
index 00000000..9662c355
--- /dev/null
+++ b/Cargo.lock
@@ -0,0 +1,2461 @@
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diff --git a/crates/libsy-llm-client/Cargo.toml b/crates/libsy-llm-client/Cargo.toml
index b930adcb..67c33893 100644
--- a/crates/libsy-llm-client/Cargo.toml
+++ b/crates/libsy-llm-client/Cargo.toml
@@ -12,16 +12,15 @@ repository.workspace = true
 rust-version.workspace = true
 
 [dependencies]
-switchyard-protocol = { path = "../libsy-protocol", version = "0.1.0" }
+switchyard-protocol = { path = "../protocol", version = "0.1.0" }
 switchyard-translation = { path = "../switchyard-translation", version = "0.1.0" }
 reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls-native-roots", "stream"] }
 async-trait = "0.1"
-futures = "0.3"
 futures-util = "0.3"
 serde_json = "1"
 thiserror = "2"
 
 [dev-dependencies]
-pretty_assertions = "1"
+futures = "0.3"
 tokio = { version = "1", features = ["macros", "rt-multi-thread"] }
 wiremock = "0.6"
diff --git a/crates/libsy-llm-client/README.md b/crates/libsy-llm-client/README.md
index b4d31a9c..e769123f 100644
--- a/crates/libsy-llm-client/README.md
+++ b/crates/libsy-llm-client/README.md
@@ -12,7 +12,7 @@ headers, makes the call with a shared `reqwest::Client`, and decodes the reply
 back into a [`switchyard_protocol::Response`] — buffered or streamed.
 
 It depends only on `switchyard-protocol` and `switchyard-translation`; no server, no
-provider SDK. For an HTTP front door built on top of it, see [`libsy-proxy`].
+provider SDK.
 
 ## Concepts