agentd-cli 2.2.0

// SPDX-License-Identifier: Apache-2.0
//! RFC 0031: the configured `intelligence.headers` (and a device-login bearer)
//! reach the LLM wire. A real `IntelClient` with `with_headers(...)` dials a mock
//! OpenAI-compatible endpoint that captures the request headers; the configured
//! headers and the bearer are all present on the model call.

use agentd::intel::client::IntelClient;
use agentd::wire::intel::{Message, Request};
use std::collections::HashMap;
use std::io::{BufRead, BufReader, Read, Write};
use std::net::{TcpListener, TcpStream};
use std::sync::{Arc, Mutex};
use std::time::Duration;

fn read_http(s: &mut TcpStream) -> HashMap<String, String> {
    s.set_read_timeout(Some(Duration::from_secs(5))).ok();
    let mut r = BufReader::new(s.try_clone().unwrap());
    let mut line = String::new();
    r.read_line(&mut line).ok(); // request line
    let mut headers = HashMap::new();
    let mut clen = 0usize;
    loop {
        let mut h = String::new();
        if r.read_line(&mut h).unwrap_or(0) == 0 {
            break;
        }
        let t = h.trim_end();
        if t.is_empty() {
            break;
        }
        if let Some((k, v)) = t.split_once(':') {
            let key = k.trim().to_ascii_lowercase();
            let val = v.trim().to_string();
            if key == "content-length" {
                clen = val.parse().unwrap_or(0);
            }
            headers.insert(key, val);
        }
    }
    let mut body = vec![0u8; clen];
    let _ = r.read_exact(&mut body);
    headers
}

fn spawn_llm(captured: Arc<Mutex<Option<HashMap<String, String>>>>) -> String {
    let l = TcpListener::bind("127.0.0.1:0").unwrap();
    let port = l.local_addr().unwrap().port();
    std::thread::spawn(move || {
        for c in l.incoming().flatten() {
            let mut s = c;
            let h = read_http(&mut s);
            {
                let mut slot = captured.lock().unwrap();
                if slot.is_none() {
                    *slot = Some(h);
                }
            }
            let body = r#"{"choices":[{"message":{"content":"ok"},"finish_reason":"stop"}],"usage":{"prompt_tokens":1,"completion_tokens":1}}"#;
            let head = format!(
                "HTTP/1.1 200 OK\r\nContent-Type: application/json\r\nContent-Length: {}\r\nConnection: close\r\n\r\n",
                body.len()
            );
            let _ = s.write_all(head.as_bytes());
            let _ = s.write_all(body.as_bytes());
        }
    });
    format!("127.0.0.1:{port}")
}

#[test]
fn intelligence_headers_and_bearer_reach_the_llm() {
    let captured: Arc<Mutex<Option<HashMap<String, String>>>> = Arc::new(Mutex::new(None));
    let llm = spawn_llm(captured.clone());

    let intel = IntelClient::from_parts(&format!("http://{llm}"), Some("sk-tok".into()))
        .unwrap()
        .with_headers(vec![
            ("X-Team".into(), "ops".into()),
            ("X-Route".into(), "eu".into()),
        ]);
    let req = Request {
        model: "m".into(),
        messages: vec![Message::user("hi")],
        tools: Vec::new(),
        max_tokens: 16,
        temperature: Some(0.0),
    };
    intel.complete(&req).expect("completion succeeds");

    let h = captured
        .lock()
        .unwrap()
        .take()
        .expect("the LLM received a request");
    // The configured intelligence.headers ride the dial…
    assert_eq!(h.get("x-team").map(String::as_str), Some("ops"), "{h:?}");
    assert_eq!(h.get("x-route").map(String::as_str), Some("eu"), "{h:?}");
    // …alongside the bearer (the dialect's Authorization header).
    assert_eq!(
        h.get("authorization").map(String::as_str),
        Some("Bearer sk-tok"),
        "{h:?}"
    );
}