Phase 3: AI integration with Ollama via Python sidecar

- sidecar: FastAPI app with /embed, /generate, /rerank hitting Ollama
- sidecar: Dockerfile, env var config (EMBED_MODEL, GEN_MODEL, RERANK_MODEL)
- aibridge: reqwest HTTP client with typed request/response structs
- aibridge: Axum proxy endpoints (POST /ai/embed, /ai/generate, /ai/rerank)
- gateway: wires AiClient with SIDECAR_URL env var
- e2e verified: nomic-embed-text returns 768d vectors, qwen2.5 generates text

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
root
2026-03-27 05:53:56 -05:00
co-authored by Claude Opus 4.6
parent 19bdfab227
commit 239e471223
21 changed files with 453 additions and 12 deletions
+1
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@@ -10,3 +10,4 @@ axum = { workspace = true }
serde = { workspace = true }
serde_json = { workspace = true }
tracing = { workspace = true }
reqwest = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
+137
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@@ -0,0 +1,137 @@
use reqwest::Client;
use serde::{Deserialize, Serialize};
use std::time::Duration;
/// HTTP client for the Python AI sidecar.
#[derive(Clone)]
pub struct AiClient {
client: Client,
base_url: String,
}
// -- Request/Response types --
#[derive(Serialize, Deserialize)]
pub struct EmbedRequest {
pub texts: Vec<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub model: Option<String>,
}
#[derive(Deserialize, Serialize, Clone)]
pub struct EmbedResponse {
pub embeddings: Vec<Vec<f64>>,
pub model: String,
pub dimensions: usize,
}
#[derive(Serialize, Deserialize)]
pub struct GenerateRequest {
pub prompt: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub model: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub system: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub temperature: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
pub max_tokens: Option<u32>,
}
#[derive(Deserialize, Serialize, Clone)]
pub struct GenerateResponse {
pub text: String,
pub model: String,
pub tokens_evaluated: Option<u64>,
pub tokens_generated: Option<u64>,
}
#[derive(Serialize, Deserialize)]
pub struct RerankRequest {
pub query: String,
pub documents: Vec<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub model: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub top_k: Option<usize>,
}
#[derive(Deserialize, Serialize, Clone)]
pub struct ScoredDocument {
pub index: usize,
pub text: String,
pub score: f64,
}
#[derive(Deserialize, Serialize, Clone)]
pub struct RerankResponse {
pub results: Vec<ScoredDocument>,
pub model: String,
}
impl AiClient {
pub fn new(base_url: &str) -> Self {
let client = Client::builder()
.timeout(Duration::from_secs(120))
.build()
.expect("failed to build HTTP client");
Self {
client,
base_url: base_url.trim_end_matches('/').to_string(),
}
}
pub async fn health(&self) -> Result<serde_json::Value, String> {
let resp = self.client
.get(format!("{}/health", self.base_url))
.send()
.await
.map_err(|e| format!("sidecar unreachable: {e}"))?;
resp.json().await.map_err(|e| format!("invalid response: {e}"))
}
pub async fn embed(&self, req: EmbedRequest) -> Result<EmbedResponse, String> {
let resp = self.client
.post(format!("{}/embed", self.base_url))
.json(&req)
.send()
.await
.map_err(|e| format!("embed request failed: {e}"))?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(format!("embed error ({}): {text}", text.len()));
}
resp.json().await.map_err(|e| format!("embed parse error: {e}"))
}
pub async fn generate(&self, req: GenerateRequest) -> Result<GenerateResponse, String> {
let resp = self.client
.post(format!("{}/generate", self.base_url))
.json(&req)
.send()
.await
.map_err(|e| format!("generate request failed: {e}"))?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(format!("generate error: {text}"));
}
resp.json().await.map_err(|e| format!("generate parse error: {e}"))
}
pub async fn rerank(&self, req: RerankRequest) -> Result<RerankResponse, String> {
let resp = self.client
.post(format!("{}/rerank", self.base_url))
.json(&req)
.send()
.await
.map_err(|e| format!("rerank request failed: {e}"))?;
if !resp.status().is_success() {
let text = resp.text().await.unwrap_or_default();
return Err(format!("rerank error: {text}"));
}
resp.json().await.map_err(|e| format!("rerank parse error: {e}"))
}
}
+1
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@@ -1 +1,2 @@
pub mod client;
pub mod service;
+56 -5
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@@ -1,9 +1,60 @@
use axum::{Router, routing::get};
use axum::{
Json, Router,
extract::State,
http::StatusCode,
response::IntoResponse,
routing::{get, post},
};
pub fn router() -> Router {
Router::new().route("/health", get(health))
use crate::client::{
AiClient, EmbedRequest, GenerateRequest, RerankRequest,
};
pub fn router(client: AiClient) -> Router {
Router::new()
.route("/health", get(health))
.route("/embed", post(embed))
.route("/generate", post(generate))
.route("/rerank", post(rerank))
.with_state(client)
}
async fn health() -> &'static str {
"aibridge ok"
async fn health(State(client): State<AiClient>) -> impl IntoResponse {
match client.health().await {
Ok(info) => Ok(Json(info)),
Err(e) => Err((StatusCode::BAD_GATEWAY, format!("sidecar down: {e}"))),
}
}
async fn embed(
State(client): State<AiClient>,
Json(req): Json<EmbedRequest>,
) -> impl IntoResponse {
tracing::info!("embedding {} texts", req.texts.len());
match client.embed(req).await {
Ok(resp) => Ok(Json(resp)),
Err(e) => Err((StatusCode::BAD_GATEWAY, e)),
}
}
async fn generate(
State(client): State<AiClient>,
Json(req): Json<GenerateRequest>,
) -> impl IntoResponse {
tracing::info!("generating with prompt len={}", req.prompt.len());
match client.generate(req).await {
Ok(resp) => Ok(Json(resp)),
Err(e) => Err((StatusCode::BAD_GATEWAY, e)),
}
}
async fn rerank(
State(client): State<AiClient>,
Json(req): Json<RerankRequest>,
) -> impl IntoResponse {
tracing::info!("reranking {} documents", req.documents.len());
match client.rerank(req).await {
Ok(resp) => Ok(Json(resp)),
Err(e) => Err((StatusCode::BAD_GATEWAY, e)),
}
}