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2e03441 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 | """Phase runners: investigation, trial, verdict, and report generators.
Each function is a standalone generator that yields PipelineEvent objects,
keeping courtroom.py thin as an orchestrator.
"""
import logging
import time
import litellm
from crewai import Crew, Process, Task
from code_tribunal.agents import (
architecture_investigator,
defense_attorney,
judge as judge_agent,
prosecutor,
verdict_report_agent,
)
from code_tribunal.config import TribunalConfig
from code_tribunal.pipeline import Phase, PipelineEvent, Pipeline
from code_tribunal.react import react_loop_stream
log = logging.getLogger("code_tribunal")
_MAX_RETRIES = 5
_BASE_DELAY = 4.0
_MIN_YIELD_INTERVAL = 0.05
def _crew_kickoff_with_retry(crew: Crew) -> object:
"""Run crew.kickoff() with exponential backoff on rate-limit errors."""
for attempt in range(_MAX_RETRIES):
try:
return crew.kickoff()
except litellm.RateLimitError:
if attempt == _MAX_RETRIES - 1:
raise
delay = _BASE_DELAY * (2 ** attempt)
log.warning("[RETRY] Rate limited (attempt %d/%d), waiting %.0fs...", attempt + 1, _MAX_RETRIES, delay)
time.sleep(delay)
def _domain_text(report, domain: str) -> str:
"""Extract findings for a specific domain from an EvidenceReport."""
findings = report.findings_by_domain.get(domain, [])
if not findings:
return f"No {domain} findings detected."
return "\n".join(str(f) for f in findings)
INVESTIGATION_AGENT_CONFIGS = [
(
"security",
"Security Forensic Investigator",
"You are a security forensic investigator. You find vulnerabilities, assess attack vectors, "
"and determine severity. You cite specific file paths and line numbers.",
),
(
"quality",
"Code Quality Forensic Investigator",
"You are a code quality forensic investigator. You identify technical debt, dead code, "
"missing error handling, and signs of rushed development.",
),
(
"architecture",
"Architecture Forensic Investigator",
"You are an architecture forensic investigator. You identify structural problems, "
"tight coupling, missing abstractions, and scalability concerns.",
),
]
def run_investigation(config, pipeline: Pipeline, report, tools, target_dir):
"""Phase 4: Run 3 investigators using ReACT loop with real tool calling."""
evidence_text = report.to_text()
domain_evidence = {
"security": _domain_text(report, "security"),
"quality": _domain_text(report, "quality"),
"architecture": _domain_text(report, "architecture"),
}
investigation_reports = {}
for label, role, goal in INVESTIGATION_AGENT_CONFIGS:
log.debug("[INVESTIGATION] Starting %s investigator...", label)
domain_ev = domain_evidence.get(label, "No specific findings.")
task_desc = (
f"Investigate this codebase for {label} issues.\n\n"
f"{label.upper()} EVIDENCE:\n{domain_ev}\n\n"
f"FULL EVIDENCE REPORT:\n{evidence_text}\n\n"
"Use your tools to read files, search for patterns, and trace call chains. "
"Produce a detailed investigation report with specific findings, severities, and remediation."
)
last_yield = 0.0
full_output = ""
for agent_role, delta, is_tool in react_loop_stream(
config=config,
task_description=task_desc,
agent_role=role,
agent_goal=goal,
tools=tools,
max_iterations=8,
):
if pipeline.is_cancelled:
return
now = time.time()
if is_tool:
yield PipelineEvent(
Phase.INVESTIGATION,
f"{label} investigator: {delta.strip()}",
agent_role=agent_role,
delta=delta,
)
full_output += delta
last_yield = now
elif now - last_yield >= _MIN_YIELD_INTERVAL:
yield PipelineEvent(
Phase.INVESTIGATION,
f"{label} investigator analyzing...",
agent_role=agent_role,
delta=delta,
)
full_output += delta
last_yield = now
log.debug("[INVESTIGATION] %s investigator done. Output length: %d", label, len(full_output))
investigation_reports[label] = full_output
pipeline.update(investigation_reports=investigation_reports)
yield PipelineEvent(
Phase.INVESTIGATION,
f"Investigation complete: {len(investigation_reports)} reports generated.",
data={"reports": investigation_reports},
)
def run_trial(config: TribunalConfig, pipeline: Pipeline, report, tools, target_dir):
"""Phase 5: Prosecutor vs Defense — non-streaming."""
evidence_text = report.to_text()
inv_reports = pipeline.state.investigation_reports if pipeline.state else {}
investigation_text = "\n\n".join(
f"=== {k.upper()} INVESTIGATION ===\n{v}"
for k, v in (inv_reports or {}).items()
)
pros_agent = prosecutor(config, tools=tools)
def_agent = defense_attorney(config, tools=tools)
rebuttal_agent = prosecutor(config, tools=tools)
prosecution_task = Task(
description=(
"PRESENT THE PROSECUTION'S CASE\n\n"
"You are presenting evidence against a freelance developer who delivered this code.\n\n"
"RAW EVIDENCE:\n" + evidence_text + "\n\n"
"INVESTIGATION REPORTS:\n" + investigation_text + "\n\n"
"Build your case. Be specific - cite file paths, line numbers, and vulnerability types. "
"Argue that this code represents negligence, not mere imperfection."
),
agent=pros_agent,
expected_output="A compelling prosecution argument citing specific evidence.",
)
defense_task = Task(
description=(
"PRESENT THE DEFENSE\n\n"
"The prosecution has presented their case. Mount your defense.\n\n"
"RAW EVIDENCE:\n" + evidence_text + "\n\n"
"INVESTIGATION REPORTS:\n" + investigation_text + "\n\n"
"Challenge specific claims. Argue proportionality - not every issue is negligence. Be honest but vigorous."
),
agent=def_agent,
context=[prosecution_task],
expected_output="A vigorous defense argument.",
)
rebuttal_task = Task(
description=(
"REBUTTAL\n\n"
"The defense has responded. Address their strongest points. "
"End with a closing argument for the judge."
),
agent=rebuttal_agent,
context=[prosecution_task, defense_task],
expected_output="A sharp rebuttal and closing argument.",
)
crew = Crew(
agents=[pros_agent, def_agent, rebuttal_agent],
tasks=[prosecution_task, defense_task, rebuttal_task],
process=Process.sequential,
verbose=False,
)
trial_transcript = ""
round_names = ["Prosecution", "Defense", "Rebuttal"]
try:
log.debug("[TRIAL] Running crew.kickoff()...")
result = _crew_kickoff_with_retry(crew)
task_outputs = result.tasks_output if hasattr(result, "tasks_output") else []
parts = []
for i, name in enumerate(round_names):
if i < len(task_outputs):
raw = task_outputs[i].raw if hasattr(task_outputs[i], "raw") else str(task_outputs[i])
parts.append(f"=== {name} ===\n{raw}")
trial_transcript = "\n\n".join(parts)
log.debug("[TRIAL] crew.kickoff() done. Transcript length: %d", len(trial_transcript))
except Exception as e:
log.debug("[TRIAL] FAILED: %s", e, exc_info=True)
trial_transcript = f"Trial fallback: {e}"
pipeline.update(trial_transcript=trial_transcript)
yield PipelineEvent(
Phase.TRIAL,
"Trial complete. The Judge is preparing to deliberate.",
data={"transcript": trial_transcript},
)
def run_verdict(config: TribunalConfig, pipeline: Pipeline, report, target_dir):
"""Phase 6: Judge delivers verdict — non-streaming."""
evidence_text = report.to_text()
state = pipeline.state
inv_text = "\n\n".join(
f"=== {k.upper()} INVESTIGATION ===\n{v}"
for k, v in (state.investigation_reports or {}).items()
)
transcript = state.trial_transcript or ""
judge = judge_agent(config)
verdict_task = Task(
description=(
"DELIVER YOUR VERDICT\n\n"
"RAW EVIDENCE:\n" + evidence_text + "\n\n"
"INVESTIGATION REPORTS:\n" + inv_text + "\n\n"
"TRIAL TRANSCRIPT:\n" + transcript + "\n\n"
"Deliver a structured verdict:\n"
"## VERDICT\nOverall: [GUILTY / MIXED / NOT GUILTY]\n"
"Reputational Risk Score: [0-100]\n\n"
"## FINDINGS SUMMARY\n"
"For each finding: severity, impact, remediation\n\n"
"## SENTENCE\n"
"Your final assessment and recommendations."
),
agent=judge,
expected_output="A structured verdict with overall ruling, risk score, findings summary, and sentence.",
)
crew = Crew(agents=[judge], tasks=[verdict_task], verbose=False)
verdict_text = ""
try:
log.debug("[VERDICT] Running crew.kickoff()...")
result = _crew_kickoff_with_retry(crew)
verdict_text = result.raw if hasattr(result, "raw") else str(result)
log.debug("[VERDICT] crew.kickoff() done. Verdict length: %d", len(verdict_text))
except Exception as e:
log.debug("[VERDICT] FAILED: %s", e, exc_info=True)
verdict_text = f"Verdict fallback: {e}"
pipeline.update(verdict=verdict_text)
yield PipelineEvent(Phase.VERDICT, "Verdict delivered.", data={"verdict": verdict_text})
def run_report(config: TribunalConfig, pipeline: Pipeline, report, target_dir):
"""Phase 7: Verdict Report Agent — non-streaming."""
state = pipeline.state
report_ag = verdict_report_agent(config)
inv_text = "\n\n".join(
f"=== {k.upper()} INVESTIGATION ===\n{v}"
for k, v in (state.investigation_reports or {}).items()
)
report_task = Task(
description=(
"Generate the FINAL STRUCTURED REPORT from this trial.\n\n"
"The Judge has delivered a verdict. Now compile everything into a clear, "
"professional report for the client.\n\n"
"EVIDENCE:\n" + report.to_text() + "\n\n"
"INVESTIGATION REPORTS:\n" + inv_text + "\n\n"
"TRIAL TRANSCRIPT:\n" + (state.trial_transcript or "") + "\n\n"
"VERDICT:\n" + (state.verdict or "") + "\n\n"
"The report MUST include:\n"
"1. **Executive Summary** - one paragraph overview\n"
"2. **Findings Table** - all findings sorted by severity (CRITICAL first)\n"
"3. **Per-Finding Analysis** - impact, remediation, estimated fix effort\n"
"4. **Sentencing Recommendations** - what the client should do next\n"
"5. **Reputational Risk Score** - breakdown of how the score was calculated"
),
agent=report_ag,
expected_output="A comprehensive structured report.",
)
crew = Crew(agents=[report_ag], tasks=[report_task], verbose=False)
report_text = ""
try:
log.debug("[REPORT] Running crew.kickoff()...")
result = _crew_kickoff_with_retry(crew)
report_text = result.raw if hasattr(result, "raw") else str(result)
log.debug("[REPORT] crew.kickoff() done. Report length: %d", len(report_text))
except Exception as e:
log.debug("[REPORT] FAILED: %s", e, exc_info=True)
report_text = f"Report generation fallback: {e}"
pipeline.update(report=report_text)
pipeline.complete()
yield PipelineEvent(Phase.REPORT, "Report generated.", data={"report": report_text})
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