"""Agent runtime: default tools, context management, workflows and artifacts.""" from __future__ import annotations from typing import Optional from pydantic import Field from docsgpt.core.settings._shared import SettingsGroup class AgentSettings(SettingsGroup): """What an agent may do per turn and how its context is kept within budget.""" AGENT_NAME: str = Field(default="classic", description="Default agent type for agentless chats.") DEFAULT_AGENT_LIMITS: dict[str, int] = Field( default={"token_limit": 50000, "request_limit": 500}, description="Per-agent default quotas: tokens and requests.", ) DEFAULT_CHAT_TOOLS: list[str] = Field( default=["memory", "read_webpage", "scheduler"], description=( "Config-free tools on by default in agentless chats. scheduler is dual-registered in " "BUILTIN_AGENT_TOOLS so one synthetic id resolves via defaults or the agent picker. Add " "code_executor and artifact_generator once a sandbox runner is configured; both execute through " "it and would fail on every call without one." ), ) ENABLE_TOOL_PREFETCH: bool = Field(default=True, description="Pre-fetch retrieval before the agent's first turn.") TOOL_RESULT_MAX_TOKENS: int = Field( default=20000, ge=0, description="Cap on one tool result entering the LLM context (0 disables); journal and DB keep it whole.", ) # Conversation compression. ENABLE_CONVERSATION_COMPRESSION: bool = Field( default=True, description="Compress long conversations once they approach the context window." ) COMPRESSION_THRESHOLD_PERCENTAGE: float = Field( default=0.8, gt=0, le=1, description="Fraction of the context window at which compression triggers." ) COMPRESSION_MODEL_OVERRIDE: Optional[str] = Field( default=None, description="Use a different model for compression; unset reuses the answer model." ) COMPRESSION_PROMPT_VERSION: str = Field(default="v1.0", description="Tracks compression prompt iterations.") COMPRESSION_MAX_HISTORY_POINTS: int = Field( default=3, description="Keep only the last N compression points to prevent DB bloat." ) COMPRESSION_RECENT_FIELD_MAX_TOKENS: int = Field( default=8000, ge=0, description="Per-field cap on the verbatim tail kept after a compression point (0 disables)." ) # Workflows. WORKFLOW_NODE_NATIVE_MAX_FILES: int = Field( default=5, description=( "Files per node passed natively to the LLM; past the cap they are extracted to text or dropped, to " "bound context and cost. Re-uses SANDBOX_MAX_INPUT_BYTES per file." ), ) WORKFLOW_NODE_EXTRACT_MAX_FILES: int = Field( default=5, description=( "Documents per node extracted via the parsing worker. Each issues a separate blocking parse; past " "the cap they are skipped with a truncation note." ), ) WORKFLOW_NODE_EXTRACT_BUDGET_SECONDS: int = Field( default=900, description=( "Wall clock one node may spend on blocking parses, shared across all of them. Without it a node " "could serialize WORKFLOW_NODE_EXTRACT_MAX_FILES full windows on a web threadpool slot." ), ) WORKFLOW_RUN_STALE_SECONDS: int = Field( default=3600, description=( "A run row is pre-created as running; a disconnect or crash can strand it there. The beat reaper " "fails runs still running past this. Generous so a long run is never cut off." ), ) # Per-user artifact quotas, enforced at persistence time. 0 or negative disables a quota. ARTIFACT_MAX_BYTES: int = Field( default=50 * 1024 * 1024, description="Cap on a single stored artifact version's bytes (0 disables)." ) ARTIFACT_MAX_COUNT_PER_USER: int = Field(default=5000, description="Cap on artifacts a user may own (0 disables).") ARTIFACT_MAX_TOTAL_BYTES_PER_USER: int = Field( default=5 * 1024 * 1024 * 1024, description="Cap on a user's total stored artifact bytes (0 disables)." )