Complete snapshot of /opt/microdao-daarion/ from NODE1 (144.76.224.179).
This represents the actual running production code that has diverged
significantly from the previous main branch.
Key changes from old main:
- Gateway (http_api.py): expanded from ~40KB to 164KB with full agent support
- Router: new /v1/agents/{id}/infer endpoint with vision + DeepSeek routing
- Behavior Policy: SOWA v2.2 (3-level: FULL/ACK/SILENT)
- Agent Registry: config/agent_registry.yml as single source of truth
- 13 agents configured (was 3)
- Memory service integration
- CrewAI teams and roles
Excluded from snapshot: venv/, .env, data/, backups, .tgz archives
Co-authored-by: Cursor <cursoragent@cursor.com>
203 lines
6.6 KiB
Python
203 lines
6.6 KiB
Python
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"""
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CrewAI Registry Loader - Variant A (Profiles per Agent)
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Loads team configurations from crewai_teams.yml with profile support.
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"""
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import os
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import json
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import yaml
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import logging
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from pathlib import Path
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from functools import lru_cache
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logger = logging.getLogger(__name__)
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CREWAI_AGENTS_PATH = os.getenv("CREWAI_AGENTS_PATH", "/app/config/crewai_agents.json")
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CREWAI_TEAMS_PATH = os.getenv("CREWAI_TEAMS_PATH", "/app/config/crewai_teams.yml")
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ROLES_BASE_PATH = os.getenv("ROLES_BASE_PATH", "/app/config/roles")
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_teams_config = None
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_agents_config = None
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def load_agents_config():
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"""Load basic agent config from crewai_agents.json"""
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global _agents_config
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if _agents_config is None:
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try:
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with open(CREWAI_AGENTS_PATH, "r") as f:
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_agents_config = json.load(f)
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logger.info(f"Loaded agents config from {CREWAI_AGENTS_PATH}")
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except Exception as e:
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logger.error(f"Failed to load agents config: {e}")
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_agents_config = {}
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return _agents_config
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def load_teams_config():
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"""Load teams/profiles config from crewai_teams.yml"""
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global _teams_config
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if _teams_config is None:
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try:
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with open(CREWAI_TEAMS_PATH, "r") as f:
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_teams_config = yaml.safe_load(f)
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version = _teams_config.get("version", "unknown")
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logger.info(f"Loaded teams config v{version} from {CREWAI_TEAMS_PATH}")
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except Exception as e:
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logger.error(f"Failed to load teams config: {e}")
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_teams_config = {}
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return _teams_config
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def load_role_prompt(prompt_ref: str) -> str:
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"""Load role prompt from .md file"""
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if not prompt_ref:
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return ""
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prompt_path = Path(ROLES_BASE_PATH) / prompt_ref
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try:
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if prompt_path.exists():
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return prompt_path.read_text(encoding="utf-8")
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else:
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logger.warning(f"Role prompt not found: {prompt_path}")
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return f"# Role: {prompt_ref}\n(prompt file missing)"
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except Exception as e:
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logger.error(f"Error loading role prompt {prompt_ref}: {e}")
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return ""
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def get_agent_profiles(agent_id: str) -> list:
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"""Get list of available profiles for an agent"""
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config = load_teams_config()
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agent_cfg = config.get(agent_id, {})
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profiles = agent_cfg.get("profiles", {})
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return list(profiles.keys())
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def get_default_profile(agent_id: str) -> str:
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"""Get default profile name for an agent"""
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config = load_teams_config()
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agent_cfg = config.get(agent_id, {})
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return agent_cfg.get("default_profile", "default")
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def get_profile_hints(agent_id: str) -> dict:
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"""Get profile selection hints (keywords) for an agent"""
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config = load_teams_config()
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agent_cfg = config.get(agent_id, {})
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return agent_cfg.get("profile_hints", {})
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def select_profile(agent_id: str, prompt: str) -> str:
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"""Select appropriate profile based on prompt keywords"""
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hints = get_profile_hints(agent_id)
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prompt_lower = prompt.lower()
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for profile_name, keywords in hints.items():
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for kw in keywords:
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if kw.lower() in prompt_lower:
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logger.info(f"Selected profile {profile_name} for {agent_id} (matched: {kw})")
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return profile_name
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return get_default_profile(agent_id)
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def get_profile_config(agent_id: str, profile: str = None) -> dict:
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"""Get full profile configuration for an agent"""
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config = load_teams_config()
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agent_cfg = config.get(agent_id, {})
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profiles = agent_cfg.get("profiles", {})
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if profile is None:
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profile = get_default_profile(agent_id)
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return profiles.get(profile, {})
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def get_team_members(agent_id: str, profile: str = None) -> list:
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"""Get team members with resolved prompts"""
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profile_cfg = get_profile_config(agent_id, profile)
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team = profile_cfg.get("team", [])
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resolved = []
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for member in team:
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resolved_member = dict(member)
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prompt_ref = member.get("system_prompt_ref", "")
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resolved_member["system_prompt"] = load_role_prompt(prompt_ref)
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resolved.append(resolved_member)
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return resolved
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def get_synthesis_config(agent_id: str, profile: str = None) -> dict:
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"""Get synthesis config with resolved prompt"""
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profile_cfg = get_profile_config(agent_id, profile)
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synthesis = profile_cfg.get("synthesis", {})
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if synthesis:
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prompt_ref = synthesis.get("system_prompt_ref", "")
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synthesis = dict(synthesis)
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synthesis["system_prompt"] = load_role_prompt(prompt_ref)
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return synthesis
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def get_team_settings(agent_id: str, profile: str = None) -> dict:
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"""Get team execution settings"""
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profile_cfg = get_profile_config(agent_id, profile)
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return {
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"team_name": profile_cfg.get("team_name", f"{agent_id} team"),
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"parallel_roles": profile_cfg.get("parallel_roles", True),
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"max_concurrency": profile_cfg.get("max_concurrency", 3)
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}
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def get_delegation_config(agent_id: str, profile: str = None) -> dict:
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"""Get delegation config for an agent"""
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profile_cfg = get_profile_config(agent_id, profile)
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return profile_cfg.get("delegation", {"enabled": False})
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def can_delegate_to(agent_id: str, target_agent_id: str, profile: str = None) -> bool:
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"""Check if agent can delegate to target"""
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deleg = get_delegation_config(agent_id, profile)
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if not deleg.get("enabled"):
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return False
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if deleg.get("forbid_self") and target_agent_id == agent_id:
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return False
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allowed = deleg.get("allow_top_level_agents", [])
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return target_agent_id in allowed
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def is_orchestrator(agent_id: str) -> bool:
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"""Check if agent has orchestrator capability"""
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config = load_teams_config()
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return agent_id in config and "profiles" in config.get(agent_id, {})
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def get_all_agents_summary() -> dict:
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"""Get summary of all agents and their profiles"""
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config = load_teams_config()
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summary = {}
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skip_keys = ["schema_version", "version", "description"]
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for agent_id, agent_cfg in config.items():
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if agent_id in skip_keys:
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continue
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if not isinstance(agent_cfg, dict):
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continue
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profiles = agent_cfg.get("profiles", {})
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summary[agent_id] = {
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"profiles": list(profiles.keys()),
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"default_profile": agent_cfg.get("default_profile", "default"),
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"has_hints": bool(agent_cfg.get("profile_hints"))
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}
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# Add role counts per profile
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for pname, pcfg in profiles.items():
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summary[agent_id][f"{pname}_roles"] = len(pcfg.get("team", []))
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return summary
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