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Add scoped Agent-mode pipeline as experimental Classic fork.

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Wire specialist waves, Brain consolidation, and Classic-compatible reports so Agent mode can run end-to-end via OpenRouter without changing the default Classic path.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
woogi
2026-07-18 14:31:13 +00:00
co-authored by Cursor
parent e30522af9a
commit 82a48d99cf
24 changed files with 1522 additions and 22 deletions
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backend/config.py
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@@ -22,6 +22,31 @@ MODEL = os.getenv("MODEL", "google/gemini-2.5-pro")
# MODEL when unset.
TEXT_MODEL = os.getenv("TEXT_MODEL", "") or MODEL
# Agent-mode model overrides (OpenRouter IDs). Empty values inherit the
# matching general-purpose model so the skeleton requires no extra config.
AGENT_EXTRACT_MODEL = os.getenv("AGENT_EXTRACT_MODEL", "") or MODEL
AGENT_INDEX_MODEL = os.getenv("AGENT_INDEX_MODEL", "") or TEXT_MODEL
AGENT_JURISDICTION_MODEL = os.getenv("AGENT_JURISDICTION_MODEL", "") or TEXT_MODEL
AGENT_LINKER_MODEL = os.getenv("AGENT_LINKER_MODEL", "") or TEXT_MODEL
AGENT_CONFLICT_MODEL = os.getenv("AGENT_CONFLICT_MODEL", "") or MODEL
AGENT_CODE_MODEL = os.getenv("AGENT_CODE_MODEL", "") or TEXT_MODEL
AGENT_CONSTRUCT_MODEL = os.getenv("AGENT_CONSTRUCT_MODEL", "") or TEXT_MODEL
AGENT_COMPLETENESS_MODEL = os.getenv("AGENT_COMPLETENESS_MODEL", "") or TEXT_MODEL
AGENT_BRAIN_MODEL = os.getenv("AGENT_BRAIN_MODEL", "") or TEXT_MODEL
AGENT_RFI_MODEL = os.getenv("AGENT_RFI_MODEL", "") or TEXT_MODEL
# Agent-mode hard scope limits. These are intentionally independent of Classic
# batching so Agent workers can never grow into whole-set reasoning calls.
AGENT_LINK_MAX_ASSERTIONS = int(os.getenv("AGENT_LINK_MAX_ASSERTIONS", "60"))
AGENT_CLUSTER_MAX_ASSERTIONS = int(os.getenv("AGENT_CLUSTER_MAX_ASSERTIONS", "24"))
AGENT_CONFLICT_MAX_IMAGES = int(os.getenv("AGENT_CONFLICT_MAX_IMAGES", "6"))
AGENT_CODE_BATCH_SIZE = int(os.getenv("AGENT_CODE_BATCH_SIZE", "60"))
AGENT_BRAIN_MAX_TOKENS = int(os.getenv("AGENT_BRAIN_MAX_TOKENS", "16384"))
AGENT_LINK_CONCURRENCY = int(os.getenv("AGENT_LINK_CONCURRENCY", "4"))
AGENT_CONFLICT_CONCURRENCY = int(os.getenv("AGENT_CONFLICT_CONCURRENCY", "4"))
AGENT_SPECIALIST_CONCURRENCY = int(os.getenv("AGENT_SPECIALIST_CONCURRENCY", "4"))
AGENT_RFI_CONCURRENCY = int(os.getenv("AGENT_RFI_CONCURRENCY", "4"))
# -- Hybrid (local text LLM) ----------------------------------------
# Optional OpenAI-compatible local endpoint (e.g. a vLLM box) for the text-only
# QAQC stages. Vision stages ALWAYS use OpenRouter. The user picks hybrid per