feat: LiquidAI and decisions and system one implementations

src/server/chat/completions.rs

@@ -316,6 +316,7 @@ pub async fn create_chat_completion(
                             .build()
                     })
                     .collect(),
+                Provider::LiquidAi => unreachable!(),
                 Provider::Mistral => state
                     .app_args
                     .mistral_api_key

src/server/decisions.rs

@@ -0,0 +1,160 @@
+use crate::CloudflareCredentials;
+use crate::openai;
+use crate::server::AppState;
+use crate::server::Provider;
+use crate::server::Upstream;
+use crate::server::take_random_by_swapping;
+use axum::Json;
+use axum::extract::State;
+use axum::http::StatusCode;
+use axum::response::IntoResponse;
+use axum::response::Response;
+use axum_extra::routing::TypedPath;
+use ecow::EcoString;
+use headers::Header;
+use headers::authorization::Bearer;
+use mitsein::vec1::Vec1;
+use reqwest::Certificate;
+use secrecy::ExposeSecret;
+use serde::Deserialize;
+use serde_with::DeserializeFromStr;
+use serde_with::SerializeDisplay;
+use std::collections::VecDeque;
+use strum::EnumString;
+use strum::VariantArray;
+
+#[derive(Deserialize, TypedPath)]
+#[typed_path("/v1/decisions")]
+pub struct V1DecisionsPath;
+
+#[derive(
+    Clone, Debug, EnumString, DeserializeFromStr, strum::Display, SerializeDisplay, VariantArray,
+)]
+#[strum(serialize_all = "lowercase")]
+pub enum Shortcut {}
+
+impl Shortcut {
+    fn suggestions(&self) -> Vec<(Provider, EcoString)> {
+        use Provider as P;
+        use Shortcut as S;
+
+        match self {
+            _ => unreachable!()
+        }
+    }
+}
+
+pub struct DecisionsResponse(openai::embeddings::CreateEmbeddingResponse<String>);
+
+impl IntoResponse for DecisionsResponse {
+    fn into_response(self) -> Response {
+        let Self(embeddings) = self;
+
+        Json(embeddings).into_response()
+    }
+}
+
+pub enum DecisionsError {
+    NoneSucceeded,
+}
+
+impl IntoResponse for DecisionsError {
+    fn into_response(self) -> Response {
+        match self {
+            DecisionsError::NoneSucceeded => StatusCode::SERVICE_UNAVAILABLE.into_response(),
+        }
+    }
+}
+
+#[tracing::instrument(skip(state, request))]
+pub async fn create_decision(
+    _: V1DecisionsPath,
+    State(state): State<AppState>,
+    Json(request): Json<openai::decisions::DecisionRequest<Shortcut>>,
+) -> Result<DecisionsResponse, DecisionsError> {
+    let shortcut = request.model.clone();
+    let mut model_upstreams = VecDeque::new();
+
+    for (provider, model) in shortcut.suggestions() {
+        let upstreams: Vec<Upstream> = match provider {
+            Provider::CloudflareWorkersAi => unreachable!(),
+            Provider::GoogleAiStudio => unreachable!(),
+            Provider::Groq => unreachable!(),
+            Provider::HuggingFace => unreachable!(),
+            Provider::LiquidAi => unreachable!(),
+            Provider::Mistral => unreachable!(),
+            Provider::OpenRouter => unreachable!(),
+            Provider::ZAi => unreachable!(),
+        };
+
+        if let Ok(upstreams) = Vec1::try_from(upstreams) {
+            model_upstreams.push_back((model, upstreams));
+        }
+    }
+
+    while let Some((model, upstreams)) = model_upstreams.pop_front() {
+        let (upstream, upstreams) = take_random_by_swapping(upstreams, &mut rand::rng());
+        if let Some(upstreams) = upstreams {
+            model_upstreams.push_back((model.clone(), upstreams));
+        }
+
+        tracing::info!(?model, ?upstream);
+
+        let openai::decisions::DecisionRequest { model: _shortcut, input, questions } = request.clone();
+
+        let request = openai::decisions::DecisionRequest { model, input, questions };
+
+        let client = reqwest::Client::builder()
+            .tls_certs_only(
+                webpki_root_certs::TLS_SERVER_ROOT_CERTS
+                    .iter()
+                    .filter_map(|cert| Certificate::from_der(cert).ok()),
+            )
+            .build()
+            .expect("TODO");
+
+        let mut upstream_request = client.post(upstream.url).json(&request);
+
+        if let Some(api_key) = upstream.api_key {
+            let authorization =
+                headers::Authorization::bearer(api_key.expose_secret()).expect("TODO");
+            upstream_request = upstream_request.header(headers::Authorization::<Bearer>::name(), {
+                let mut vec = vec![];
+
+                authorization.encode(&mut vec);
+
+                let [one] = vec.try_into().expect("TODO");
+
+                one
+            });
+        }
+
+        let upstream_response = match upstream_request.send().await {
+            Ok(upstream_response) => upstream_response,
+            Err(upstream_error) => {
+                tracing::error!(?upstream_error);
+                continue;
+            }
+        };
+
+        if let Err(upstream_error) = upstream_response.error_for_status_ref() {
+            tracing::error!(?upstream_error);
+            match upstream_response.text().await {
+                Ok(body) => tracing::error!(?body),
+                Err(body_error) => tracing::error!(?body_error),
+            };
+            continue;
+        };
+
+        let response = match upstream_response.json().await {
+            Ok(response) => response,
+            Err(json_error) => {
+                tracing::error!(?json_error);
+                continue;
+            }
+        };
+
+        return Ok(DecisionsResponse(response));
+    }
+    Err(DecisionsError::NoneSucceeded)
+}

src/server/embeddings.rs

@@ -144,6 +144,7 @@ pub async fn create_embeddings(
                             .build()
                     })
                     .collect(),
+                Provider::LiquidAi => unreachable!(),
                 Provider::Mistral => state
                     .app_args
                     .mistral_api_key
@@ -168,19 +169,7 @@ pub async fn create_embeddings(
                             .build()
                     })
                     .collect(),
-                Provider::ZAi => state
-                    .app_args
-                    .z_ai_api_key
-                    .iter()
-                    .cloned()
-                    .map(|api_key| {
-                        Upstream::builder()
-                            // TODO: doesn't exist
-                            .url("https://api.z.ai/api/paas/v4/embeddings".parse().expect("TODO"))
-                            .api_key(api_key)
-                            .build()
-                    })
-                    .collect(),
+                Provider::ZAi => unreachable!(),
             };
 
         if let Ok(upstreams) = Vec1::try_from(upstreams) {

src/server/mod.rs

@@ -10,8 +10,10 @@ use typed_builder::TypedBuilder;
 use url::Url;
 
 mod chat;
+mod decisions;
 mod embeddings;
 mod models;
+mod system_one;
 
 #[derive(Debug, Clone, TypedBuilder)]
 pub struct AppState {
@@ -24,6 +26,7 @@ enum Provider {
     GoogleAiStudio,
     Groq,
     HuggingFace,
+    LiquidAi,
     Mistral,
     OpenRouter,
     ZAi,
@@ -52,7 +55,9 @@ struct Upstream {
 pub fn create_router() -> Router<AppState> {
     Router::new()
         .typed_post(chat::completions::create_chat_completion)
+        .typed_post(decisions::create_decision)
         .typed_post(embeddings::create_embeddings)
+        .typed_post(system_one::create_system_one)
         .typed_get(models::list_models)
 }
 

src/server/system_one.rs

@@ -0,0 +1,215 @@
+use crate::CloudflareCredentials;
+use crate::openai;
+use crate::server::AppState;
+use crate::server::Provider;
+use crate::server::Upstream;
+use crate::server::take_random_by_swapping;
+use axum::Json;
+use axum::extract::State;
+use axum::http::StatusCode;
+use axum::response::IntoResponse;
+use axum::response::Response;
+use axum_extra::routing::TypedPath;
+use ecow::EcoString;
+use headers::Header;
+use headers::authorization::Bearer;
+use mitsein::vec1::Vec1;
+use reqwest::Certificate;
+use secrecy::ExposeSecret;
+use serde::Deserialize;
+use serde_with::DeserializeFromStr;
+use serde_with::SerializeDisplay;
+use std::collections::VecDeque;
+use strum::EnumString;
+use strum::VariantArray;
+
+#[derive(Deserialize, TypedPath)]
+#[typed_path("/v1/systemone")]
+pub struct V1SystemOnePath;
+
+#[derive(
+    Clone, Debug, EnumString, DeserializeFromStr, strum::Display, SerializeDisplay, VariantArray,
+)]
+#[strum(serialize_all = "lowercase")]
+pub enum Shortcut {
+    M,
+}
+
+impl Shortcut {
+    fn suggestions(&self) -> Vec<(Provider, EcoString)> {
+        use Provider as P;
+        use Shortcut as S;
+
+        match self {
+            S::M => {
+                vec![(P::LiquidAi, "d1:free".into())]
+            }
+        }
+    }
+}
+
+pub struct SystemOneResponse(openai::system_one::SystemOneResponse<String>);
+
+impl IntoResponse for SystemOneResponse {
+    fn into_response(self) -> Response {
+        let Self(system_one) = self;
+
+        Json(system_one).into_response()
+    }
+}
+
+pub enum SystemOneError {
+    NoneSucceeded,
+}
+
+impl IntoResponse for SystemOneError {
+    fn into_response(self) -> Response {
+        match self {
+            SystemOneError::NoneSucceeded => StatusCode::SERVICE_UNAVAILABLE.into_response(),
+        }
+    }
+}
+
+#[tracing::instrument(skip(state, request))]
+pub async fn create_system_one(
+    _: V1SystemOnePath,
+    State(state): State<AppState>,
+    Json(request): Json<openai::system_one::SystemOneRequest<Shortcut>>,
+) -> Result<SystemOneResponse, SystemOneError> {
+    let shortcut = request.model.clone();
+    let mut model_upstreams = VecDeque::new();
+
+    for (provider, model) in shortcut.suggestions() {
+        let upstreams: Vec<Upstream> =
+            match provider {
+                Provider::CloudflareWorkersAi => state
+                    .app_args
+                    .cloudflare_workers_ai_credentials
+                    .iter()
+                    .cloned()
+                    .map(
+                        |CloudflareCredentials {
+                             account_id,
+                             api_key,
+                         }| {
+                            Upstream::builder()
+                        .url(
+                            format!("https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1/systemone")
+                                .parse()
+                                .expect("TODO"),
+                        )
+                        .api_key(api_key)
+                        .build()
+                        },
+                    )
+                    .collect(),
+                Provider::GoogleAiStudio => unreachable!(),
+                Provider::Groq => unreachable!(),
+                Provider::HuggingFace => unreachable!(),
+                Provider::LiquidAi => state
+                    .app_args
+                    .liquid_ai_api_key
+                    .iter()
+                    .cloned()
+                    .map(|api_key| {
+                        Upstream::builder()
+                            .url("https://api.liquid.ai/decisions/v1/systemone".parse().expect("TODO"))
+                            .api_key(api_key)
+                            .build()
+                    })
+                    .collect(),
+                Provider::Mistral => unreachable!(),
+                Provider::OpenRouter => state
+                    .app_args
+                    .openrouter_api_key
+                    .iter()
+                    .cloned()
+                    .map(|api_key| {
+                        Upstream::builder()
+                            .url("https://openrouter.ai/api/v1/systemone".parse().expect("TODO"))
+                            .api_key(api_key)
+                            .build()
+                    })
+                    .collect(),
+                Provider::ZAi => unreachable!(),
+            };
+
+        if let Ok(upstreams) = Vec1::try_from(upstreams) {
+            model_upstreams.push_back((model, upstreams));
+        }
+    }
+
+    while let Some((model, upstreams)) = model_upstreams.pop_front() {
+        let (upstream, upstreams) = take_random_by_swapping(upstreams, &mut rand::rng());
+        if let Some(upstreams) = upstreams {
+            model_upstreams.push_back((model.clone(), upstreams));
+        }
+
+        tracing::info!(?model, ?upstream);
+
+        let openai::system_one::SystemOneRequest { model: _shortcut, state, questions } = request.clone();
+
+        let request = openai::system_one::SystemOneRequest {
+            model,
+            state,
+            questions,
+        };
+
+        
+        let client = reqwest::Client::builder()
+            .tls_certs_only(
+                webpki_root_certs::TLS_SERVER_ROOT_CERTS
+                    .iter()
+                    .filter_map(|cert| Certificate::from_der(cert).ok()),
+            )
+            .build()
+            .expect("TODO");
+
+        let mut upstream_request = client
+            .post(upstream.url)
+            .json(&request);
+
+        if let Some(api_key) = upstream.api_key {
+            let authorization =
+                headers::Authorization::bearer(api_key.expose_secret()).expect("TODO");
+            upstream_request = upstream_request.header(headers::Authorization::<Bearer>::name(), {
+                let mut vec = vec![];
+
+                authorization.encode(&mut vec);
+
+                let [one] = vec.try_into().expect("TODO");
+
+                one
+            });
+        }
+
+        let upstream_response = match upstream_request.send().await {
+            Ok(upstream_response) => upstream_response,
+            Err(upstream_error) => {
+                tracing::error!(?upstream_error);
+                continue;
+            }
+        };
+
+        if let Err(upstream_error) = upstream_response.error_for_status_ref() {
+            tracing::error!(?upstream_error);
+            match upstream_response.text().await {
+                Ok(body) => tracing::error!(?body),
+                Err(body_error) => tracing::error!(?body_error),
+            };
+            continue;
+        };
+
+        
+            let response = match upstream_response.json().await {
+                Ok(response) => response,
+                Err(json_error) => {
+                    tracing::error!(?json_error);
+                    continue;
+                }
+            };
+
+            return Ok(SystemOneResponse(response));
+    }
+    Err(SystemOneError::NoneSucceeded)
+}