Files
lakehouse/crates/aibridge/src/context.rs
T
rootandClaude Opus 4.7 8b77d67c9c
lakehouse/auditor 1 blocking issue: cloud: claim not backed — "journal event verified live (total_events_created 0→1 after probe)."
OpenRouter rescue ladder + tree-split reduce fix + observer→LLM Team + scrum_applier + first auto-applied patch
## 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>
2026-04-24 03:45:35 -05:00

196 lines
7.4 KiB
Rust

//! Phase 21 — context-budget accounting for model calls.
//!
//! Ports `assertContextBudget` + `estimateTokens` + `CONTEXT_WINDOWS`
//! from `tests/multi-agent/agent.ts` so Rust-side callers (gateway
//! tool surfaces, future Rust agents) get the same loud-fail behavior
//! on window overflow instead of silent truncation.
//!
//! The token estimator is deliberately the same chars/4 heuristic as
//! the TS side. It's biased ~15% safe — pessimistic on English, correct
//! within a factor of 2 on code. Swap to a provider tokenizer only when
//! the estimator drives a decision (we're nowhere near that yet).
use std::collections::HashMap;
use std::sync::OnceLock;
/// Rough token count. `chars / 4` ceiling. See module docs for why
/// this heuristic is sufficient.
#[deprecated(note = "Use shared::model_matrix::ModelMatrix::estimate_tokens instead")]
pub fn estimate_tokens(text: &str) -> usize {
(text.chars().count() + 3) / 4
}
/// Phase 21 — per-model context windows, mirroring the TS table in
/// `tests/multi-agent/agent.ts`. Anchored on each model's documented
/// max; unknown models fall back to `DEFAULT_CONTEXT_WINDOW`.
pub const DEFAULT_CONTEXT_WINDOW: usize = 32_768;
pub const DEFAULT_SAFETY_MARGIN: usize = 2_000;
pub const DEFAULT_MAX_TOKENS: usize = 800;
fn known_windows() -> &'static HashMap<&'static str, usize> {
static TABLE: OnceLock<HashMap<&'static str, usize>> = OnceLock::new();
TABLE.get_or_init(|| {
let mut m = HashMap::new();
m.insert("mistral:latest", 32_768);
m.insert("qwen2.5:latest", 32_768);
m.insert("qwen3:latest", 40_960);
m.insert("qwen3.5:latest", 262_144);
m.insert("qwen3-embedding", 32_768);
m.insert("nomic-embed-text-v2-moe", 2_048);
m.insert("gpt-oss:20b", 131_072);
m.insert("gpt-oss:120b", 131_072);
m.insert("qwen3.5:397b", 131_072);
m.insert("kimi-k2-thinking", 200_000);
m.insert("kimi-k2.6", 200_000);
m.insert("kimi-k2:1t", 1_048_576);
m.insert("deepseek-v3.1:671b", 131_072);
m.insert("glm-4.7", 131_072);
m
})
}
pub fn context_window_for(model: &str) -> usize {
known_windows().get(model).copied().unwrap_or(DEFAULT_CONTEXT_WINDOW)
}
/// Result of a budget check — exposes the numbers so callers can log
/// how much headroom remains without re-running the estimator.
#[derive(Debug, Clone, Copy)]
pub struct BudgetCheck {
pub estimated: usize,
pub window: usize,
pub remaining: i64,
}
/// Inputs to `assert_context_budget`. `bypass` exists for call sites
/// that handle their own overflow (continuation's second pass already
/// counted the partial; T5 gatekeeper prompts have a separate policy).
#[derive(Debug, Clone, Default)]
pub struct BudgetOpts<'a> {
pub system: Option<&'a str>,
pub max_tokens: Option<usize>,
pub safety_margin: Option<usize>,
pub bypass: bool,
}
/// Phase 21's loud-fail primitive. Returns a `BudgetCheck` on success
/// and the same struct plus over-by count on failure. The whole point
/// is to stop silent truncation — callers that expect overflow should
/// chunk BEFORE calling or set `bypass: true`.
pub fn assert_context_budget(
model: &str,
prompt: &str,
opts: BudgetOpts,
) -> Result<BudgetCheck, (BudgetCheck, usize)> {
let window = context_window_for(model);
let safety = opts.safety_margin.unwrap_or(DEFAULT_SAFETY_MARGIN);
let max_tokens = opts.max_tokens.unwrap_or(DEFAULT_MAX_TOKENS);
let sys_tokens = opts.system.map(estimate_tokens).unwrap_or(0);
let estimated = estimate_tokens(prompt) + sys_tokens + max_tokens;
let remaining = window as i64 - estimated as i64 - safety as i64;
let check = BudgetCheck { estimated, window, remaining };
if remaining < 0 && !opts.bypass {
return Err((check, (-remaining) as usize));
}
Ok(check)
}
/// Convenience — format an overflow error the same way the TS side
/// does. Exposed so downstream crates render consistent messages.
pub fn overflow_message(model: &str, check: &BudgetCheck, over_by: usize, safety: usize) -> String {
format!(
"context overflow: model={} est={}t window={}t safety={}t over={}t. \
Chunk the prompt (see config/models.json overflow_policies) or set \
bypass:true if you know the risk.",
model, check.estimated, check.window, safety, over_by,
)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn estimate_tokens_ceiling_divides_by_four() {
assert_eq!(estimate_tokens(""), 0);
assert_eq!(estimate_tokens("abc"), 1); // 3 → ceil(3/4) = 1
assert_eq!(estimate_tokens("abcd"), 1); // 4 → ceil(4/4) = 1
assert_eq!(estimate_tokens("abcde"), 2); // 5 → ceil(5/4) = 2
assert_eq!(estimate_tokens(&"x".repeat(400)), 100);
}
#[test]
fn context_window_known_and_fallback() {
assert_eq!(context_window_for("qwen3.5:latest"), 262_144);
assert_eq!(context_window_for("kimi-k2:1t"), 1_048_576);
assert_eq!(context_window_for("some-unreleased-model"), DEFAULT_CONTEXT_WINDOW);
}
#[test]
fn budget_passes_well_under_window() {
let check = assert_context_budget(
"qwen3:latest",
&"x".repeat(4_000), // ~1000 tokens
BudgetOpts { max_tokens: Some(500), ..Default::default() },
).expect("well under 40K window");
assert!(check.remaining > 30_000);
}
#[test]
fn budget_fails_when_prompt_overflows_window() {
let huge = "x".repeat(200_000); // ~50K tokens, over qwen3's 40K
let err = assert_context_budget(
"qwen3:latest",
&huge,
BudgetOpts::default(),
).expect_err("should overflow qwen3's 40K window");
assert!(err.1 > 0, "over_by must be positive");
}
#[test]
fn budget_bypass_returns_ok_even_over() {
let huge = "x".repeat(200_000);
let check = assert_context_budget(
"qwen3:latest",
&huge,
BudgetOpts { bypass: true, ..Default::default() },
).expect("bypass must suppress the error");
assert!(check.remaining < 0, "check still reports negative remaining");
}
#[test]
fn budget_counts_system_prompt() {
// 10K-char system prompt → ~2500 tokens. With a big max_tokens
// this should push us closer to the window.
let sys = "s".repeat(10_000);
let prompt = "p".repeat(4_000);
let with_sys = assert_context_budget(
"qwen3:latest",
&prompt,
BudgetOpts {
system: Some(&sys),
max_tokens: Some(500),
..Default::default()
},
).unwrap();
let without_sys = assert_context_budget(
"qwen3:latest",
&prompt,
BudgetOpts { max_tokens: Some(500), ..Default::default() },
).unwrap();
assert!(with_sys.estimated > without_sys.estimated,
"system prompt should raise estimate");
assert_eq!(with_sys.estimated - without_sys.estimated, estimate_tokens(&sys));
}
#[test]
fn overflow_message_includes_numbers() {
let check = BudgetCheck { estimated: 42_000, window: 40_960, remaining: -1_040 };
let msg = overflow_message("qwen3:latest", &check, 3_040, 2_000);
assert!(msg.contains("qwen3:latest"));
assert!(msg.contains("42000t"));
assert!(msg.contains("40960t"));
assert!(msg.contains("3040t"));
}
}