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<title>Parlay — Talk to the Model</title>
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</style>
</head>
<body>
<div class="page">
<p><a class="back" href="/">← Back to the Deal Room</a></p>
<header>
<h1>◈ Talk to the Model</h1>
<p class="subtitle">Direct inference with the GRPO-finetuned negotiator (Qwen2.5-1.5B)</p>
<p id="status-badge"></p>
</header>
<!-- Model info ──────────────────────────────────────────────────────── -->
<section>
<h2>Model</h2>
<div class="model-info-card" id="model-info-card">
<div class="info-row"><span class="info-label">Repo</span><span class="info-val" id="info-repo">—</span></div>
<div class="info-row"><span class="info-label">Base</span><span class="info-val" id="info-base">—</span></div>
<div class="info-row"><span class="info-label">Training</span><span class="info-val" id="info-training">—</span></div>
<div class="info-row"><span class="info-label">Output format</span><span class="info-val" id="info-note">—</span></div>
</div>
</section>
<!-- Chat interface ───────────────────────────────────────────────────── -->
<section>
<h2>Chat</h2>
<!-- Context pickers -->
<div class="context-row">
<div class="context-group">
<label for="sel-scenario">Scenario (gives the model context)</label>
<select id="sel-scenario">
<option value="saas_enterprise">Enterprise SaaS Contract — $125k–$165k ACV</option>
<option value="hiring_package">Senior Engineer Offer — $195k–$265k total comp</option>
<option value="acquisition_term_sheet">Startup Acquisition — $10.5M–$16M valuation</option>
</select>
</div>
<div class="context-group">
<label for="sel-persona">Persona (model negotiating style)</label>
<select id="sel-persona">
<option value="shark">🦈 The Shark — aggressive, anchors hard</option>
<option value="diplomat">🤝 The Diplomat — collaborative, reveals constraints</option>
<option value="veteran">🧓 The Veteran — strategic silence, k=2 ToM</option>
</select>
</div>
</div>
<!-- Temperature -->
<div class="param-row">
<label for="temp-slider">Temperature</label>
<input type="range" id="temp-slider" min="0.1" max="1.4" step="0.05" value="0.7" />
<span class="param-val" id="temp-val">0.7</span>
<button class="btn-ghost" id="btn-reset-chat" title="Start a new conversation">New chat</button>
</div>
<!-- Window -->
<div class="chat-window" id="chat-window" role="log" aria-live="polite" aria-label="Conversation with the model"></div>
<!-- Error -->
<div class="error-box" id="error-box"></div>
<!-- Input -->
<div class="input-bar">
<textarea
id="chat-input"
class="chat-input"
rows="1"
placeholder="Type your opening offer or message…"
aria-label="Your message"
></textarea>
<button class="btn-gold" id="btn-send" type="button">Send</button>
</div>
<div class="chat-toolbar">
<span class="char-hint">Enter to send · Shift+Enter for new line</span>
<span class="backend-tag" id="backend-tag"></span>
</div>
<!-- Last raw output -->
<details class="raw-output" id="raw-details" style="display:none;">
<summary>Raw model JSON output</summary>
<pre id="raw-pre"></pre>
</details>
</section>
<!-- About the model ─────────────────────────────────────────────────── -->
<section>
<h2>About this model</h2>
<div class="read-block">
<h3>What it is</h3>
<p>
<strong>parlay-grpo-1-5b</strong> is a Qwen2.5-1.5B-Instruct model fine-tuned in two
stages: first with SFT on Gemini-generated negotiation transcripts, then with GRPO using
the Parlay reward function — a mix of ZOPA progress, Theory-of-Mind accuracy, tactical
card usage, and drift adaptation bonuses.
</p>
<h3>What it outputs</h3>
<p>
Every response is a JSON object with three fields:<br/>
<code>utterance</code> — the natural language negotiation turn,<br/>
<code>offer_amount</code> — a numeric bid (or <code>null</code> for conversational turns),<br/>
<code>tactical_move</code> — optional card played (<code>anchor_high</code>, <code>batna_reveal</code>, <code>silence</code>).
</p>
<h3>How to read the responses here</h3>
<p>
The <em>utterance</em> is displayed as the chat bubble. If the model includes an
<em>offer_amount</em>, it appears as a gold chip below the text. You can expand
"Raw model JSON output" to see the full structured response.
</p>
<h3>Backend</h3>
<p>
On a GPU Space the model runs locally (fast after the first load). On a CPU Space
inference falls back to the Hugging Face Inference API — the first request may take
20–40 s while the model warms up; subsequent requests are faster.
</p>
</div>
</section>
</div><!-- /.page -->
<script>
// ── State ──────────────────────────────────────────────────────────────
let history = [];
let isLoading = false;
let lastBackend = "";
// ── Init ───────────────────────────────────────────────────────────────
document.addEventListener("DOMContentLoaded", () => {
loadModelInfo();
const sendBtn = document.getElementById("btn-send");
const inputEl = document.getElementById("chat-input");
const tempSldr = document.getElementById("temp-slider");
const tempVal = document.getElementById("temp-val");
const resetBtn = document.getElementById("btn-reset-chat");
sendBtn.addEventListener("click", sendMessage);
inputEl.addEventListener("keydown", (e) => {
if (e.key === "Enter" && !e.shiftKey) {
e.preventDefault();
sendMessage();
}
// auto-grow textarea
requestAnimationFrame(() => {
inputEl.style.height = "auto";
inputEl.style.height = Math.min(inputEl.scrollHeight, 140) + "px";
});
});
tempSldr.addEventListener("input", () => {
tempVal.textContent = parseFloat(tempSldr.value).toFixed(2);
});
resetBtn.addEventListener("click", resetChat);
// Changing scenario/persona resets the conversation
document.getElementById("sel-scenario").addEventListener("change", resetChat);
document.getElementById("sel-persona").addEventListener("change", resetChat);
});
// ── Load model info ────────────────────────────────────────────────────
async function loadModelInfo() {
const badge = document.getElementById("status-badge");
try {
const res = await fetch("/api/model/info");
const data = await res.json();
const repoEl = document.getElementById("info-repo");
if (data.hub_url && data.model_repo) {
repoEl.innerHTML = `<a href="${data.hub_url}" target="_blank" rel="noopener">${data.model_repo}</a>`;
}
document.getElementById("info-base").textContent = data.base_model || "—";
document.getElementById("info-training").textContent = data.training || "—";
document.getElementById("info-note").textContent = data.note || "—";
if (data.configured) {
badge.innerHTML = '<span class="badge ok">Trained model configured — inference ready</span>';
} else {
badge.innerHTML = '<span class="badge warn">Using public Hub repo — set HF_MODEL_REPO secret for local GPU inference</span>';
}
} catch (_e) {
badge.innerHTML = '<span class="badge err">Could not reach server</span>';
}
}
// ── Reset chat ─────────────────────────────────────────────────────────
function resetChat() {
history = [];
const win = document.getElementById("chat-window");
win.innerHTML = "";
setError(null);
document.getElementById("raw-details").style.display = "none";
document.getElementById("backend-tag").textContent = "";
addSystemMsg("Conversation reset. Send a message to begin.");
}
// ── Send ───────────────────────────────────────────────────────────────
async function sendMessage() {
if (isLoading) return;
const inputEl = document.getElementById("chat-input");
const text = inputEl.value.trim();
if (!text) return;
const scenarioId = document.getElementById("sel-scenario").value;
const persona = document.getElementById("sel-persona").value;
const temp = parseFloat(document.getElementById("temp-slider").value);
// Render user bubble
addMsg("user", text, null, null);
history.push({ role: "user", text });
inputEl.value = "";
inputEl.style.height = "auto";
setError(null);
// Thinking indicator
const thinkId = addThinking();
setLoading(true);
try {
const res = await fetch("/api/model/chat", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
message: text,
scenario_id: scenarioId,
persona,
history: history.slice(0, -1), // exclude the just-added user turn
temperature: temp,
max_tokens: 300,
}),
});
removeThinking(thinkId);
if (!res.ok) {
const err = await res.json().catch(() => ({}));
throw new Error(err.detail || `HTTP ${res.status}`);
}
const data = await res.json();
lastBackend = data.backend || "";
// Update backend tag
const backendTag = document.getElementById("backend-tag");
backendTag.innerHTML = `backend: <span>${lastBackend === "local" ? "local GPU" : "HF Inference API"}</span>`;
// Render model bubble
const utterance = data.utterance || "(no utterance)";
const offer = data.offer_amount ?? null;
const tactic = data.tactical_move || null;
addMsg("model", utterance, offer, tactic);
history.push({ role: "assistant", text: utterance });
// Show raw output
const rawDetails = document.getElementById("raw-details");
const rawPre = document.getElementById("raw-pre");
rawPre.textContent = JSON.stringify({
utterance: data.utterance,
offer_amount: data.offer_amount,
tactical_move: data.tactical_move,
}, null, 2);
rawDetails.style.display = "block";
} catch (e) {
removeThinking(thinkId);
setError("Inference failed: " + e.message);
// remove last user turn from history so user can retry
history.pop();
} finally {
setLoading(false);
}
}
// ── DOM helpers ────────────────────────────────────────────────────────
function formatCurrency(v) {
if (v == null) return null;
const n = parseFloat(v);
if (isNaN(n)) return null;
if (n >= 1_000_000) return "$" + (n / 1_000_000).toFixed(2) + "M";
if (n >= 1_000) return "$" + (n / 1_000).toFixed(0) + "k";
return "$" + n.toFixed(0);
}
function addMsg(role, utterance, offerAmount, tacticMove) {
const win = document.getElementById("chat-window");
// Remove placeholder text if present
const empty = win.querySelector(".empty-hint");
if (empty) empty.remove();
const wrap = document.createElement("div");
wrap.className = `msg ${role}`;
const roleLabel = document.createElement("div");
roleLabel.className = "msg-role";
roleLabel.textContent = role === "user" ? "You" : "Model";
wrap.appendChild(roleLabel);
const body = document.createElement("div");
body.className = "msg-body";
body.textContent = utterance;
if (offerAmount != null) {
const chip = document.createElement("div");
chip.className = "offer-chip";
chip.textContent = formatCurrency(offerAmount) || String(offerAmount);
body.appendChild(chip);
}
if (tacticMove) {
const pill = document.createElement("span");
pill.className = "tactic-pill";
const labels = { anchor_high: "⚓ anchor", batna_reveal: "🃏 BATNA reveal", silence: "🤫 silence" };
pill.textContent = labels[tacticMove] || tacticMove;
body.appendChild(pill);
}
wrap.appendChild(body);
win.appendChild(wrap);
win.scrollTop = win.scrollHeight;
return wrap;
}
function addSystemMsg(text) {
const win = document.getElementById("chat-window");
const wrap = document.createElement("div");
wrap.className = "msg system";
const body = document.createElement("div");
body.className = "msg-body";
body.textContent = text;
wrap.appendChild(body);
win.appendChild(wrap);
}
let _thinkingSeq = 0;
function addThinking() {
const id = "think-" + (++_thinkingSeq);
const win = document.getElementById("chat-window");
const wrap = document.createElement("div");
wrap.className = "msg model thinking";
wrap.id = id;
const roleLabel = document.createElement("div");
roleLabel.className = "msg-role";
roleLabel.textContent = "Model";
const body = document.createElement("div");
body.className = "msg-body";
body.innerHTML = '<div class="dot-pulse"><span></span><span></span><span></span></div>';
wrap.appendChild(roleLabel);
wrap.appendChild(body);
win.appendChild(wrap);
win.scrollTop = win.scrollHeight;
return id;
}
function removeThinking(id) {
document.getElementById(id)?.remove();
}
function setLoading(on) {
isLoading = on;
document.getElementById("btn-send").disabled = on;
document.getElementById("chat-input").disabled = on;
}
function setError(msg) {
const box = document.getElementById("error-box");
if (msg) {
box.textContent = msg;
box.style.display = "block";
} else {
box.style.display = "none";
}
}
</script>
</body>
</html>
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