Files
boocode/apps/coder/src/services/arena-analyzer.ts
indifferentketchup d6d246c15b feat(web,coder): arena pane — compare 2-6 AI competitors on same prompt
Arena is a new pane kind for competitive AI evaluation. A Battle runs
the same prompt against 2-6 Contestants across two concurrent lanes:
local lane (llama-swap models, serial) and cloud lane (parallel).

Added to all three registries: @boocode/contracts WsFrameSchema,
server InferenceFrame, and web WsFrame.

Backend (apps/coder):
- arena-runner: battle scheduler, lane classifier, benchmark, results
  writer, resume, user winner override
- arena-analyzer: two-stage digest→judge analysis on DEFAULT_MODEL
- arena-decisions: status transitions and resume logic (unit-tested)
- arena-analyzer-helpers: pure helper functions (unit-tested)
- arena-model-call: model call utility for analysis
- arena routes: create/get/list/stop/analyze/cross-examine/winner/diff
- schema: battles, contestants, cross_examinations tables (idempotent)
- remove old /api/arena* routes and tasks.arena_id column

Frontend (apps/web):
- ArenaLauncherDialog: battle type, prompt, contestant selection
- ArenaPane: live roster, streaming output, analysis, cross-exam
- DiffView: unified diff with line-by-line color for coding contests
- Winner override per-row dropdown (Trophy icon)
- battle_updated WS handler for live winner/analysis updates
- arena pane kind in Workspace, ChatTabBar, useSidebar

Cross-app:
- ArenaState and ArenaContestantShape/WsFrame types (contracts)
- battle_* frames in WsFrameSchema, InferenceFrame, and web WsFrame
- manifest.json written per battle results folder
- /Arena added to .gitignore

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-06 23:25:29 +00:00

497 lines
17 KiB
TypeScript

/**
* Arena Analyzer — pluggable seam for battle analysis and cross-examination.
*
* The Analyzer interface is the plug point: a v2 Han Orchestrator flow can
* replace the v1 two-stage digest→judge implementation without a schema change.
*
* v1 implementation uses DEFAULT_MODEL via direct llama-swap calls (arenaModelCall):
* Digest stage — one call per succeeded contestant, concurrent; produces a
* bounded summary of each result (result.md + diff.patch for
* coding, result.md for Q&A).
* Judge stage — one call with all digests + the original prompt; writes
* analysis.md, names a winner (unless < 2 succeeded), and
* updates battles.winner_contestant_id.
*
* Cross-examination:
* Local model — direct arenaModelCall to llama-swap with the chosen model.
* Cloud model — inserts a tasks row (triggers the dispatcher via pg_notify);
* polls for completion; reads output_summary as the verdict.
* In both cases the verdict is written to cross_examinations.verdict, appended
* to <resultsPath>/cross-exam.md, and a battle_updated frame is published.
*
* Never throws — all errors are caught, logged, and swallowed so the caller
* (arena-runner's onBattleComplete / onCrossExamStart) is never wedged.
*/
import { readFile, writeFile, mkdir } from 'node:fs/promises';
import { join } from 'node:path';
import type { Sql } from '../db.js';
import type { Broker } from '@boocode/server/broker';
import type { WsFrame } from '@boocode/contracts/ws-frames';
import type { FastifyBaseLogger } from 'fastify';
import type { Config } from '../config.js';
import type { BattleType } from '@boocode/contracts/arena';
import { arenaModelCall } from './arena-model-call.js';
import {
buildDigestPrompt,
buildJudgePrompt,
buildCrossExamPrompt,
extractWinner,
shouldNameWinner,
type ContestantDigest,
} from './arena-analyzer-helpers.js';
// ─── Public interface ─────────────────────────────────────────────────────────
/** Pluggable analysis seam — swap to a Han Orchestrator flow in v2. */
export interface Analyzer {
/** Run the two-stage digest→judge analysis for a completed battle. */
analyze(battleId: string): Promise<void>;
/**
* Run a cross-examination for an already-inserted cross_examinations row.
* The result is written back to that row and a battle_updated frame is published.
*/
crossExamine(
battleId: string,
crossExamId: string,
opts: { identity: string; model: string },
): Promise<void>;
}
// ─── Internal DB row types ────────────────────────────────────────────────────
interface BattleRow {
id: string;
project_id: string;
battle_type: BattleType;
prompt: string;
status: string;
results_path: string | null;
winner_contestant_id: string | null;
}
interface ContestantRow {
id: string;
identity: string;
model: string;
lane: string;
status: string;
result_path: string | null;
duration_ms: number | null;
tokens_per_sec: number | null;
}
// ─── Factory ──────────────────────────────────────────────────────────────────
interface AnalyzerDeps {
sql: Sql;
broker: Broker;
log: FastifyBaseLogger;
config: Pick<Config, 'LLAMA_SWAP_URL' | 'DEFAULT_MODEL'>;
/** Model IDs served by local llama-swap — cross-exam routing uses this. */
localModels: ReadonlySet<string>;
}
export function createAnalyzer(deps: AnalyzerDeps): Analyzer {
const { sql, broker, log, config, localModels } = deps;
// ─── analyze ──────────────────────────────────────────────────────────────
async function analyze(battleId: string): Promise<void> {
try {
await runAnalysis(battleId);
} catch (err) {
log.error(
{ err: errMsg(err), battleId },
'arena-analyzer: analysis failed',
);
}
}
async function runAnalysis(battleId: string): Promise<void> {
const battle = await loadBattle(battleId);
if (!battle) {
log.warn({ battleId }, 'arena-analyzer: battle not found');
return;
}
const contestants = await loadContestants(battleId);
const succeeded = contestants.filter((c) => c.status === 'done' && c.result_path);
log.info(
{ battleId, total: contestants.length, succeeded: succeeded.length },
'arena-analyzer: starting analysis',
);
// Digest stage — concurrent, one call per succeeded contestant.
const digests = (
await Promise.all(succeeded.map((c) => digestContestant(battle, c)))
).filter((d): d is ContestantDigest => d !== null);
// Failed contestants are noted in the analysis even if they produced no digest.
const failedNotes = contestants
.filter((c) => c.status === 'error')
.map((c) => `- **${c.identity} / ${c.model}**: failed (no result)\n`);
// Judge stage — single call with all digests.
const { analysisText, winner } = await judgeContestants(battle, digests, failedNotes);
// Write analysis.md to the battle results folder.
const resultsPath = battle.results_path;
if (resultsPath) {
await mkdir(resultsPath, { recursive: true });
await writeFile(join(resultsPath, 'analysis.md'), analysisText, 'utf8');
}
// Resolve the winner to a contestant id and update the battle row.
let winnerId: string | null = null;
if (winner && shouldNameWinner(succeeded.length)) {
const winnerContestant = contestants.find(
(c) => c.identity === winner.identity && c.model === winner.model,
);
if (winnerContestant) {
winnerId = winnerContestant.id;
await sql`
UPDATE battles
SET winner_contestant_id = ${winnerId}, updated_at = clock_timestamp()
WHERE id = ${battleId}
`;
log.info({ battleId, winnerId, identity: winner.identity, model: winner.model }, 'arena-analyzer: winner set');
} else {
log.warn({ battleId, winner }, 'arena-analyzer: judge named a winner not found in contestants');
}
}
publishUser({
type: 'battle_updated',
battle_id: battleId,
winner_contestant_id: winnerId,
analysis_ready: true,
});
log.info({ battleId }, 'arena-analyzer: analysis complete');
}
// ─── crossExamine ─────────────────────────────────────────────────────────
async function crossExamine(
battleId: string,
crossExamId: string,
opts: { identity: string; model: string },
): Promise<void> {
try {
await runCrossExam(battleId, crossExamId, opts);
} catch (err) {
log.error(
{ err: errMsg(err), battleId, crossExamId },
'arena-analyzer: cross-exam failed',
);
}
}
async function runCrossExam(
battleId: string,
crossExamId: string,
opts: { identity: string; model: string },
): Promise<void> {
const battle = await loadBattle(battleId);
if (!battle) {
log.warn({ battleId }, 'arena-analyzer: battle not found for cross-exam');
return;
}
const contestants = await loadContestants(battleId);
// Re-read the digests (if contestants have results) for context.
const succeeded = contestants.filter((c) => c.status === 'done' && c.result_path);
const digests = (
await Promise.all(succeeded.map((c) => digestContestant(battle, c)))
).filter((d): d is ContestantDigest => d !== null);
// Read analysis.md for the proposed analysis content.
let analysisContent = '';
if (battle.results_path) {
analysisContent = await readFile(
join(battle.results_path, 'analysis.md'), 'utf8',
).catch(() => '');
}
// Resolve proposed winner label.
let proposedWinner: string | null = null;
if (battle.winner_contestant_id) {
const w = contestants.find((c) => c.id === battle.winner_contestant_id);
if (w) proposedWinner = `${w.identity}/${w.model}`;
}
const { system, user } = buildCrossExamPrompt({
originalPrompt: battle.prompt,
digests,
analysisContent,
proposedWinner,
examinerIdentity: opts.identity,
examinerModel: opts.model,
});
log.info({ battleId, crossExamId, identity: opts.identity, model: opts.model }, 'arena-analyzer: running cross-exam');
const verdict = await executeModelCall({
battleId,
projectId: battle.project_id,
identity: opts.identity,
model: opts.model,
system,
user,
});
// Persist verdict and append to cross-exam.md.
await sql`
UPDATE cross_examinations
SET verdict = ${verdict}
WHERE id = ${crossExamId}
`;
if (battle.results_path) {
const crossExamPath = join(battle.results_path, 'cross-exam.md');
const section =
`\n---\n\n# Cross-Examination by ${opts.identity} / ${opts.model}\n\n` +
`${verdict}\n`;
await writeFile(crossExamPath, section, { flag: 'a', encoding: 'utf8' });
}
publishUser({
type: 'battle_updated',
battle_id: battleId,
cross_exam_id: crossExamId,
});
log.info({ battleId, crossExamId }, 'arena-analyzer: cross-exam complete');
}
// ─── Model call routing ───────────────────────────────────────────────────
/**
* Route a one-shot model call to llama-swap (local) or the task dispatcher
* (cloud). Cloud dispatch inserts a tasks row and polls for completion.
*/
async function executeModelCall(opts: {
battleId: string;
projectId: string;
identity: string;
model: string;
system: string;
user: string;
}): Promise<string> {
const isLocal = localModels.has(opts.model) || localModels.has(`llama-swap/${opts.model}`);
if (isLocal) {
return arenaModelCall({
config,
model: opts.model,
system: opts.system,
user: opts.user,
maxTokens: 2_000,
temperature: 0.3,
});
}
// Cloud path: dispatch through the task system and poll for completion.
return executeCloudModelCall(opts);
}
async function executeCloudModelCall(opts: {
projectId: string;
identity: string;
model: string;
system: string;
user: string;
}): Promise<string> {
// The cross-exam prompt is the full input to the external agent. We embed
// the system prompt as a preamble in the user message (external agents don't
// take a separate system arg through the tasks dispatcher).
const input = `${opts.system}\n\n${opts.user}`;
// For well-known external agents, stamp the agent name so the dispatcher
// routes via PTY/ACP. For unknown identities fall back to native inference
// (agent = null → DEFAULT_MODEL text generation).
const knownAgents = new Set(['claude', 'opencode', 'qwen', 'goose']);
const agentName = knownAgents.has(opts.identity) ? opts.identity : null;
const [task] = await sql<{ id: string }[]>`
INSERT INTO tasks (project_id, input, agent, model)
VALUES (${opts.projectId}, ${input}, ${agentName}, ${opts.model})
RETURNING id
`;
const taskId = task!.id;
log.info({ taskId, identity: opts.identity, model: opts.model }, 'arena-analyzer: cloud cross-exam task dispatched');
// Poll until terminal (up to 5 minutes).
const timeoutMs = 5 * 60 * 1_000;
const pollMs = 2_000;
const deadline = Date.now() + timeoutMs;
while (Date.now() < deadline) {
await sleep(pollMs);
const [row] = await sql<{ state: string; output_summary: string | null }[]>`
SELECT state, output_summary FROM tasks WHERE id = ${taskId}
`;
if (!row) break;
if (row.state === 'completed') return row.output_summary ?? '';
if (row.state === 'failed' || row.state === 'cancelled') {
throw new Error(`cross-exam task ${row.state}: ${row.output_summary ?? ''}`);
}
}
throw new Error(`cloud cross-exam task timed out after ${timeoutMs / 1000}s`);
}
// ─── Digest helper ────────────────────────────────────────────────────────
async function digestContestant(
battle: BattleRow,
c: ContestantRow,
): Promise<ContestantDigest | null> {
if (!c.result_path) return null;
const resultMd = await readFile(join(c.result_path, 'result.md'), 'utf8').catch(() => '');
let diffPatch: string | undefined;
if (battle.battle_type === 'coding') {
diffPatch = await readFile(join(c.result_path, 'diff.patch'), 'utf8').catch(
() => undefined,
);
}
const benchmarkLine = formatBenchmarkLine(c);
const { system, user } = buildDigestPrompt({
identity: c.identity,
model: c.model,
resultMd,
diffPatch,
benchmarkLine,
});
let digest: string;
try {
digest = await arenaModelCall({
config,
model: config.DEFAULT_MODEL,
system,
user,
maxTokens: 500,
temperature: 0.3,
});
} catch (err) {
log.warn(
{ err: errMsg(err), identity: c.identity, model: c.model },
'arena-analyzer: digest call failed — skipping contestant',
);
return null;
}
return { identity: c.identity, model: c.model, digest, benchmarkLine };
}
// ─── Judge helper ─────────────────────────────────────────────────────────
async function judgeContestants(
battle: BattleRow,
digests: ContestantDigest[],
failedNotes: string[],
): Promise<{ analysisText: string; winner: { identity: string; model: string } | null }> {
const { system, user } = buildJudgePrompt(battle.prompt, digests);
let judgeOutput = '';
try {
judgeOutput = await arenaModelCall({
config,
model: config.DEFAULT_MODEL,
system,
user,
maxTokens: 2_000,
temperature: 0.3,
});
} catch (err) {
log.error({ err: errMsg(err), battleId: battle.id }, 'arena-analyzer: judge call failed');
judgeOutput = '*(Judge call failed — no comparison produced.)*';
}
const winner = shouldNameWinner(digests.length) ? extractWinner(judgeOutput) : null;
const sections: string[] = [
`# Arena Analysis`,
`\n**Battle type:** ${battle.battle_type}`,
];
if (failedNotes.length > 0) {
sections.push('\n## Failed Contestants\n');
sections.push(...failedNotes);
}
if (digests.length > 0) {
sections.push('\n## Contestant Digests\n');
for (const d of digests) {
sections.push(`### ${d.identity} / ${d.model}`);
sections.push(`*Benchmark: ${d.benchmarkLine}*\n`);
sections.push(d.digest);
}
}
sections.push("\n## Judge's Verdict\n");
sections.push(judgeOutput);
if (winner) {
sections.push(`\n## Winner\n**${winner.identity} / ${winner.model}**`);
} else {
const reason =
digests.length < 2
? 'fewer than 2 contestants produced results'
: 'no clear winner identified';
sections.push(`\n## Winner\n*No winner named (${reason}).*`);
}
return { analysisText: sections.join('\n'), winner };
}
// ─── DB helpers ───────────────────────────────────────────────────────────
async function loadBattle(battleId: string): Promise<BattleRow | null> {
const [b] = await sql<BattleRow[]>`
SELECT id, project_id, battle_type, prompt, status, results_path, winner_contestant_id
FROM battles WHERE id = ${battleId}
`;
return b ?? null;
}
async function loadContestants(battleId: string): Promise<ContestantRow[]> {
return sql<ContestantRow[]>`
SELECT id, identity, model, lane, status, result_path, duration_ms, tokens_per_sec
FROM contestants WHERE battle_id = ${battleId}
ORDER BY created_at ASC
`;
}
// ─── Misc helpers ─────────────────────────────────────────────────────────
function formatBenchmarkLine(c: ContestantRow): string {
const parts: string[] = [];
if (c.duration_ms !== null) parts.push(`${c.duration_ms}ms`);
if (c.tokens_per_sec !== null) parts.push(`${c.tokens_per_sec.toFixed(1)} tok/s`);
return parts.length > 0 ? parts.join(', ') : 'no benchmark';
}
function publishUser(frame: Record<string, unknown>): void {
broker.publishUserFrame('default', frame as unknown as WsFrame);
}
function sleep(ms: number): Promise<void> {
return new Promise((resolve) => setTimeout(resolve, ms));
}
return { analyze, crossExamine };
}
function errMsg(e: unknown): string {
return e instanceof Error ? e.message : String(e);
}