Session infrastructure: OpenRouter + tree-split reducer + observer→LLM Team + scrum_applier #11
@ -275,12 +275,18 @@ async function escalateFailureClusterToLLMTeam(sigHash: string, cluster: Observe
|
||||
const prompt = `${kbPreamble}sig_hash=${sigHash} · ${cluster.length} failures on the same signature:\n\n${context}\n\nReview this failure cluster. Identify:\n1. Likely root cause (single sentence).\n2. Files most likely responsible (path hints).\n3. Concrete fix direction (under 3 sentences).\n4. Confidence: NN%\n\nBe specific, not generic.`;
|
||||
|
||||
try {
|
||||
// 2026-04-26: switched from ollama_cloud/qwen3-coder:480b (weekly
|
||||
// 429 quota was blocking escalations) to paid OpenRouter
|
||||
// deepseek-v3.1-terminus — 671B reasoning specialist, $0.21 in /
|
||||
// $0.79 out per M tokens (under the $0.85/M ceiling J set), 164K
|
||||
// ctx. Per-escalation cost: ~$0.0006 (typical 500-token prompt +
|
||||
// 300-token completion).
|
||||
const resp = await fetch(`${LAKEHOUSE}/v1/chat`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({
|
||||
provider: "ollama_cloud",
|
||||
model: "qwen3-coder:480b",
|
||||
provider: "openrouter",
|
||||
model: "deepseek/deepseek-v3.1-terminus",
|
||||
messages: [{ role: "user", content: prompt }],
|
||||
max_tokens: 800,
|
||||
temperature: 0.2,
|
||||
@ -302,7 +308,7 @@ async function escalateFailureClusterToLLMTeam(sigHash: string, cluster: Observe
|
||||
const row = {
|
||||
ts: new Date().toISOString(),
|
||||
source: "observer_escalation",
|
||||
mode: "direct_chat_qwen3_coder_480b",
|
||||
mode: "direct_chat_deepseek_v3_1_terminus",
|
||||
sig_hash: sigHash,
|
||||
cluster_size: cluster.length,
|
||||
cluster_staffer: cluster[0]?.staffer_id,
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user