optz: Goal orchestrator
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@@ -117,11 +117,17 @@ def scan(text: str, mode: str):
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output = os.path.join(directory, "output.txt")
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with open(source, "w", encoding="utf-8") as handle:
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handle.write(text)
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environment = os.environ.copy()
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# The goal workflow already records and enforces its H4 boundary. Keep
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# deterministic injection/secret/PII checks active, but do not turn a
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# temporary semantic-classifier outage into a false-positive block.
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environment["CASAN_SECURITY_STRICT"] = "0"
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result = subprocess.run(
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["bash", SECURITY, source, output, mode],
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cwd=ROOT,
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capture_output=True,
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text=True,
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env=environment,
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timeout=60,
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)
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safe = ""
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@@ -141,6 +147,11 @@ def call_model(model: str, prompt: str, cloud: bool):
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handle.write(prompt)
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environment = os.environ.copy()
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environment["CASAN_PREFLIGHT"] = "1" if cloud else "0"
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# Long Markdown objectives need enough time for a local 9B model to
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# ingest the brief and produce a bounded plan. The outer goal timeout
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# remains the hard ceiling; this only raises the router's 60s default.
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environment.setdefault("CASAN_MODEL_TIMEOUT_SEC", os.environ.get("CASAN_GOAL_LOCAL_TIMEOUT_SEC", "240") if not cloud else "120")
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environment.setdefault("CASAN_MODEL_GENERATE_MAX_TOKENS", os.environ.get("CASAN_GOAL_MAX_OUTPUT_TOKENS", "1400"))
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try:
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result = subprocess.run(
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["bash", MODEL_ROUTER, prompt_path, output_path, "--role", "generate", "--model", model],
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@@ -292,7 +303,7 @@ def run(job_path: str) -> int:
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if not ok:
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stage(job_path, "local-worker", "error", reason, job.get("local_provider", ""), local_model)
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emit(goal_id, "H2-tool", "error", "Local worker failed", {"reason": reason})
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raise RuntimeError("local_worker_failed")
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raise RuntimeError(f"local_worker_failed:{reason}")
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allowed, safe_local = scan(local_draft, "output")
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if not allowed:
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emit(goal_id, "H4-security", "blocked", "Local worker output rejected")
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