Some checks failed
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "journal event verified live (total_events_created 0→1 after probe)."
## Infrastructure (scrum loop hardening)
crates/gateway/src/v1/openrouter.rs — new OpenRouter provider
Direct HTTPS to openrouter.ai/api/v1/chat/completions with OpenAI-compatible shape.
Key resolution: OPENROUTER_API_KEY env → /home/profit/.env → /root/llm_team_config.json
(shares LLM Team UI's quota). Added after iter 5 hit repeated Ollama Cloud 502s on
kimi-k2:1t — different provider backbone as rescue rung. Unit tests pin the URL
stripping and OpenAI wire shape.
crates/gateway/src/v1/mod.rs + main.rs
Added `"openrouter" | "openrouter_free"` arm to /v1/chat dispatch.
V1State.openrouter_key loaded at startup via openrouter::resolve_openrouter_key()
mirroring the Ollama Cloud pattern. Startup log:
"v1: OpenRouter key loaded — /v1/chat provider=openrouter enabled"
tests/real-world/scrum_master_pipeline.ts
* 9-rung ladder — kimi-k2:1t → qwen3-coder:480b → deepseek-v3.1:671b →
mistral-large-3:675b → gpt-oss:120b → qwen3.5:397b → openrouter/gpt-oss-120b:free
→ openrouter/gemma-3-27b-it:free → local qwen3.5:latest.
Added qwen3-coder:480b as rung 2 after live probes confirmed it rescues
kimi-k2:1t 502s cleanly (0.9s latency, substantive reviews).
Dropped devstral-2 (displaced by qwen3-coder); dropped kimi-k2.6 (not available);
dropped minimax-m2.7 (returned 0 chars / 400 thinking tokens).
Local fallback promoted qwen3.5:latest per J's direction 2026-04-24.
* MAX_ATTEMPTS bumped 6 → 9 to accommodate the rescue tier.
* Tree-split scratchpad fixed — was concatenating shard markers directly
into the reviewer input, causing kimi-k2:1t to write titles like
"Forensic Audit Report – file.rs (shard 3)". Now uses internal §N§
markers during accumulation and runs a proper reduce step that
collapses per-shard digests into ONE coherent file-level synthesis
with markers stripped. Matches the Phase 21 aibridge::tree_split
map→reduce design. Fallback to stripped scratchpad if reducer returns thin.
tests/real-world/scrum_applier.ts — NEW (737 lines)
The auto-apply pipeline. Reads scrum_reviews.jsonl, filters rows where
gradient_tier ∈ {auto, dry_run} AND confidence_avg ≥ MIN_CONF (default 90),
asks the reviewer model for concrete old_string/new_string patch JSON,
applies via text replacement, runs cargo check after each file, commits
if green and reverts if red. Deny-list: /etc/, config/, ops/, auditor/,
docs/, data/, mcp-server/, ui/, sidecar/, scripts/. Hard caps: per-patch
confidence ≥ MIN_CONF, old_string must be exactly unique, max 20 lines per
patch. Never runs on main without explicit LH_APPLIER_BRANCH override.
Audit trail in data/_kb/auto_apply.jsonl.
Empirical behavior (dry-run over iter 4 reviews):
5 eligible files → 1 green commit-ready, 2 build-red reverts, 2 all-rejected
The build-green gate caught 2 bad patches before they'd have merged.
mcp-server/observer.ts — LLM Team code_review escalation
When a sig_hash accumulates ≥3 failures (ESCALATION_THRESHOLD), fire-and-forget
POST /api/run?mode=code_review at localhost:5000 with the failure cluster context.
Parses facts/entities/relationships/file_hints from the response. Writes to a
new data/_kb/observer_escalations.jsonl surface. Answers J's vision of the
observer triggering richer LLM Team calls when failures pile up.
Non-blocking: runs parallel to existing qwen2.5 analyzer, never replaces it.
Tracks escalated sig_hashes in a session-local Set to avoid re-hammering
LLM Team when a cluster persists across observer cycles.
crates/aibridge/src/context.rs
First auto-applied patch produced by scrum_applier.ts (dry-run path —
applier writes files in dry-run mode but doesn't commit; bug noted for
iter 6 fix). Adds #[deprecated] annotation to the inline estimate_tokens
helper pointing callers to the centralized shared::model_matrix::ModelMatrix
entry point (P21-002 — duplicate token-estimator surfaces). Cargo check
passes with the annotation (verified by applier's own build gate).
## Visual Control Plane (UI)
ui/server.ts — Bun.serve on :3950 with /data/* fan-out:
/data/services, /data/reviews, /data/metrics, /data/trust, /data/overrides,
/data/findings, /data/outcomes, /data/audit_facts, /data/file/:path,
/data/refactor_signals, /data/search?q=, /data/signal_classes,
/data/logs/:svc (journalctl tail per systemd unit), /data/scrum_log.
Bug fix: tryFetch always attempts JSON.parse before falling back to text
— observer's Bun.serve returns JSON without application/json content-type,
which was displaying stats as a raw string ("0 ops" on map) before.
ui/index.html + ui.css — dark neo-brutalist shell. 6 views:
MAP (D3 force-graph + overlays) / TRACE (per-file iter history) /
TRAJECTORY (signal-class cards + refactor-signals table + reverse-index
search box) / METRICS (every card has SOURCE + GOOD lines explaining
where the number comes from and what target trajectory means) /
KB (card grid with tooltips on every field) / CONSOLE (per-service
journalctl tabs).
ui/ui.js — polling client, D3 wiring, signal-class panel, refactor-signals
table, reverse-index search, per-service console tabs. Bug fix:
renderNodeContext had Object.entries() iterating string characters when
/health returned a plain string — now guards with typeof check so
"lakehouse ok" renders as one row instead of "0 l / 1 a / 2 k / ...".
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
218 lines
7.4 KiB
Rust
218 lines
7.4 KiB
Rust
//! OpenRouter adapter — free-tier rescue rung for /v1/chat.
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//!
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//! Direct HTTPS call to `https://openrouter.ai/api/v1/chat/completions`
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//! with Bearer auth. Mirrors the OpenAI-compatible shape so the model
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//! list can be expanded without code changes. Added 2026-04-24 after
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//! iter 5 hit repeated Ollama Cloud 502s on kimi-k2:1t — OpenRouter
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//! free-tier models give us a different provider backbone as fallback.
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//!
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//! Key sourcing priority:
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//! 1. Env var `OPENROUTER_API_KEY`
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//! 2. `/home/profit/.env` (LLM Team convention)
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//! 3. `/root/llm_team_config.json` → providers.openrouter.api_key
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//!
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//! First hit wins. Key is resolved once at gateway startup and stored
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//! on `V1State.openrouter_key`.
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use std::time::Duration;
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use serde::{Deserialize, Serialize};
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use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
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const OR_BASE_URL: &str = "https://openrouter.ai/api/v1";
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const OR_TIMEOUT_SECS: u64 = 180;
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pub fn resolve_openrouter_key() -> Option<String> {
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if let Ok(k) = std::env::var("OPENROUTER_API_KEY") {
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if !k.trim().is_empty() { return Some(k.trim().to_string()); }
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}
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// LLM Team UI writes its key to ~/.env on the host user — pick it up
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// from the same source so the free-tier rescue path works without
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// an explicit systemd Environment= line.
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for path in ["/home/profit/.env", "/root/.env"] {
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if let Ok(raw) = std::fs::read_to_string(path) {
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for line in raw.lines() {
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if let Some(rest) = line.strip_prefix("OPENROUTER_API_KEY=") {
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let k = rest.trim().trim_matches('"').trim_matches('\'');
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if !k.is_empty() { return Some(k.to_string()); }
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}
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}
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}
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}
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if let Ok(raw) = std::fs::read_to_string("/root/llm_team_config.json") {
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if let Ok(v) = serde_json::from_str::<serde_json::Value>(&raw) {
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if let Some(k) = v.pointer("/providers/openrouter/api_key").and_then(|x| x.as_str()) {
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if !k.trim().is_empty() { return Some(k.trim().to_string()); }
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}
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}
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}
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None
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}
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pub async fn chat(
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key: &str,
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req: &ChatRequest,
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) -> Result<ChatResponse, String> {
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// Strip the "openrouter/" prefix if the caller used the namespaced
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// form so OpenRouter sees the raw model id (e.g. "openai/gpt-oss-120b:free").
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let model = req.model.strip_prefix("openrouter/").unwrap_or(&req.model).to_string();
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let body = ORChatBody {
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model: model.clone(),
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messages: req.messages.iter().map(|m| ORMessage {
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role: m.role.clone(),
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content: m.content.clone(),
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}).collect(),
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max_tokens: req.max_tokens.unwrap_or(800),
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temperature: req.temperature.unwrap_or(0.3),
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stream: false,
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};
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let client = reqwest::Client::builder()
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.timeout(Duration::from_secs(OR_TIMEOUT_SECS))
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.build()
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.map_err(|e| format!("build client: {e}"))?;
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let t0 = std::time::Instant::now();
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let resp = client
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.post(format!("{}/chat/completions", OR_BASE_URL))
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.bearer_auth(key)
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// OpenRouter recommends Referer + Title for attribution; absent
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// headers do not fail the call but help us see our traffic in
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// their dashboard.
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.header("HTTP-Referer", "https://vcp.devop.live")
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.header("X-Title", "Lakehouse Scrum")
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.json(&body)
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.send()
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.await
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.map_err(|e| format!("openrouter.ai unreachable: {e}"))?;
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let status = resp.status();
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if !status.is_success() {
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let body = resp.text().await.unwrap_or_else(|_| "?".into());
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return Err(format!("openrouter.ai {}: {}", status, body));
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}
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let parsed: ORChatResponse = resp.json().await
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.map_err(|e| format!("invalid openrouter response: {e}"))?;
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let latency_ms = t0.elapsed().as_millis();
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let choice = parsed.choices.into_iter().next()
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.ok_or_else(|| "openrouter returned no choices".to_string())?;
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let text = choice.message.content;
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let prompt_tokens = parsed.usage.as_ref().map(|u| u.prompt_tokens).unwrap_or_else(|| {
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let chars: usize = req.messages.iter().map(|m| m.content.chars().count()).sum();
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((chars + 3) / 4) as u32
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});
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let completion_tokens = parsed.usage.as_ref().map(|u| u.completion_tokens).unwrap_or_else(|| {
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((text.chars().count() + 3) / 4) as u32
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});
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tracing::info!(
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target: "v1.chat",
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provider = "openrouter",
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model = %model,
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prompt_tokens,
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completion_tokens,
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latency_ms = latency_ms as u64,
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"openrouter chat completed",
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);
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Ok(ChatResponse {
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id: format!("chatcmpl-{}", chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)),
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object: "chat.completion",
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created: chrono::Utc::now().timestamp(),
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model,
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choices: vec![Choice {
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index: 0,
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message: Message { role: "assistant".into(), content: text },
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finish_reason: choice.finish_reason.unwrap_or_else(|| "stop".into()),
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}],
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usage: UsageBlock {
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prompt_tokens,
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completion_tokens,
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total_tokens: prompt_tokens + completion_tokens,
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},
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})
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}
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// -- OpenRouter wire shapes (OpenAI-compatible) --
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#[derive(Serialize)]
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struct ORChatBody {
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model: String,
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messages: Vec<ORMessage>,
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max_tokens: u32,
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temperature: f64,
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stream: bool,
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}
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#[derive(Serialize)]
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struct ORMessage { role: String, content: String }
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#[derive(Deserialize)]
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struct ORChatResponse {
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choices: Vec<ORChoice>,
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#[serde(default)]
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usage: Option<ORUsage>,
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}
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#[derive(Deserialize)]
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struct ORChoice {
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message: ORMessageResp,
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#[serde(default)]
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finish_reason: Option<String>,
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}
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#[derive(Deserialize)]
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struct ORMessageResp { content: String }
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#[derive(Deserialize)]
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struct ORUsage { prompt_tokens: u32, completion_tokens: u32 }
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn resolve_openrouter_key_does_not_panic() {
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// Smoke test — all three sources may or may not be set depending
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// on environment; just confirm the call returns cleanly.
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let _ = resolve_openrouter_key();
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}
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#[test]
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fn chat_body_serializes_to_openai_shape() {
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let body = ORChatBody {
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model: "openai/gpt-oss-120b:free".into(),
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messages: vec![
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ORMessage { role: "user".into(), content: "review this".into() },
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],
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max_tokens: 800,
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temperature: 0.3,
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stream: false,
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};
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let json = serde_json::to_string(&body).unwrap();
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assert!(json.contains("\"model\":\"openai/gpt-oss-120b:free\""));
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assert!(json.contains("\"messages\""));
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assert!(json.contains("\"max_tokens\":800"));
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assert!(json.contains("\"stream\":false"));
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}
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#[test]
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fn model_prefix_strip_preserves_unprefixed() {
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// If caller passes "openrouter/openai/gpt-oss-120b:free" we strip.
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// If caller passes "openai/gpt-oss-120b:free" unchanged, we keep.
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let cases = [
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("openrouter/openai/gpt-oss-120b:free", "openai/gpt-oss-120b:free"),
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("openai/gpt-oss-120b:free", "openai/gpt-oss-120b:free"),
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("google/gemma-3-27b-it:free", "google/gemma-3-27b-it:free"),
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];
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for (input, expected) in cases {
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let out = input.strip_prefix("openrouter/").unwrap_or(input);
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assert_eq!(out, expected, "{input} should become {expected}");
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}
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}
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}
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