ed472ce9a0
Adds the Gemini API orchestrator (ReAct tool loop → Claude responder):
Orchestrator engine + router:
- orchestrator_engine.py: Gemini API tool loop, Claude CLI handoff
- routers/orchestrator.py: POST /orchestrate (async job queue), GET /orchestrate/{job_id}
Tools (cortex/tools/):
- web.py: DuckDuckGo web search (no key required)
- ae_knowledge.py: ae_journal_search + ae_journal_entry_create (AE V3 API)
- ae_tasks.py: ae_task_list (reads agents_sync Kanban filesystem)
- files.py: file_read (path-allowlisted to safe dirs)
Config + deps:
- config.py: orchestrator, DuckDuckGo, and AE API settings
- requirements.txt: google-genai, duckduckgo-search
- .env.default: reference config with all new keys documented
Docs:
- CLAUDE.md, README.md, documentation/ added to repo
- Port references updated 7331 → 8000 throughout
- Default model updated to gemini-2.5-flash
Tested: ae_task_list, ae_journal_search, web_search all working end-to-end.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
80 lines
3.4 KiB
Python
80 lines
3.4 KiB
Python
from pathlib import Path
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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anthropic_api_key: str | None = None # not used — claude CLI handles auth
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# Orchestrator (Gemini API — separate from Gemini CLI)
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# Get a key at: https://aistudio.google.com/apikey (free tier is sufficient)
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gemini_api_key: str | None = None
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orchestrator_model: str = "gemini-2.5-flash" # model used for tool loop
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orchestrator_max_rounds: int = 10 # safety cap on tool iterations
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# DuckDuckGo search (used by orchestrator web_search tool)
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# Leave blank to use the free unauthenticated tier; set to your API key for higher limits
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ddg_api_key: str | None = None
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ddg_max_results: int = 5
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# Aether Platform API (used by orchestrator ae_journal_* and ae_task_list tools)
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ae_api_url: str = "https://dev-api.oneskyit.com"
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ae_api_key: str = "" # x-aether-api-key header
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ae_account_id: str = "" # x-account-id header
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ae_api_timeout: int = 15 # per-request timeout in seconds
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inara_dir: Path = Path("../inara")
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sessions_dir: Path = Path("./data/sessions")
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default_model: str = "claude-sonnet-4-6"
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default_tier: int = 2
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max_history_messages: int = 40 # rolling window — 20 turns (user + assistant)
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primary_backend: str = "claude" # "claude" or "gemini" — other is always fallback
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# Per-backend timeouts in seconds
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timeout_claude: int = 60
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timeout_gemini: int = 120 # frequently slow under load
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timeout_local: int = 300 # local models may need to load first
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# Google Chat must receive a response within 30s or shows an error to the user
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google_chat_timeout: int = 25
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# Backend forced for Google Chat — Claude is more reliable within the 25s deadline
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google_chat_backend: str = "claude"
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# Nextcloud Talk bot
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nextcloud_url: str = "https://cloud.dgrzone.com"
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nextcloud_talk_bot_secret: str = "" # set in .env
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nextcloud_talk_timeout: int = 55
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# Auto-distillation schedule — override in .env
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# AUTO_DISTILL=false disables entirely
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scheduler_timezone: str = "America/New_York" # IANA tz — override in .env if needed
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auto_distill: bool = True
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auto_distill_short: bool = True # daily at 03:00 — rolls session logs → MEMORY_SHORT
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auto_distill_mid: bool = True # weekly Sunday at 03:30 — LLM summarizes short → mid
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auto_distill_long: bool = False # monthly 1st at 04:00 — off by default (manual review recommended)
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# Memory tier token budgets — soft caps used during distillation
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# Override in .env: MEMORY_BUDGET_LONG=4000 etc.
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memory_budget_long: int = 2000
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memory_budget_mid: int = 2000
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memory_budget_short: int = 3000
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host: str = "0.0.0.0"
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port: int = 8000
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
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def inara_path(self) -> Path:
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"""Resolve inara_dir relative to this file's location if not absolute."""
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if self.inara_dir.is_absolute():
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return self.inara_dir
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return (Path(__file__).parent / self.inara_dir).resolve()
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def sessions_path(self) -> Path:
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"""Resolve sessions_dir relative to this file's location if not absolute."""
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if self.sessions_dir.is_absolute():
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return self.sessions_dir
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return (Path(__file__).parent / self.sessions_dir).resolve()
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settings = Settings()
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