Derives the Honcho host key from the active Hermes profile so that each profile gets its own Honcho host block, workspace, and AI peer identity. Profile "coder" resolves to host "hermes.coder", reads from hosts["hermes.coder"] in honcho.json, and defaults workspace + aiPeer to the derived host name. Resolution order: HERMES_HONCHO_HOST env var > active profile name > "hermes" (default). Complements #3681 (profiles) with the Honcho identity layer that was part of #2845 (named instances), adapted to the merged profiles system.
480 lines
17 KiB
Python
480 lines
17 KiB
Python
"""Honcho client initialization and configuration.
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Resolution order for config file:
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1. $HERMES_HOME/honcho.json (instance-local, enables isolated Hermes instances)
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2. ~/.honcho/config.json (global, shared across all Honcho-enabled apps)
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3. Environment variables (HONCHO_API_KEY, HONCHO_ENVIRONMENT)
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Resolution order for host-specific settings:
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1. Explicit host block fields (always win)
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2. Flat/global fields from config root
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3. Defaults (host name as workspace/peer)
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"""
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from __future__ import annotations
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import json
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import os
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import logging
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from dataclasses import dataclass, field
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from pathlib import Path
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from hermes_constants import get_hermes_home
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from typing import Any, TYPE_CHECKING
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if TYPE_CHECKING:
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from honcho import Honcho
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logger = logging.getLogger(__name__)
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GLOBAL_CONFIG_PATH = Path.home() / ".honcho" / "config.json"
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HOST = "hermes"
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def resolve_active_host() -> str:
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"""Derive the Honcho host key from the active Hermes profile.
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Resolution order:
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1. HERMES_HONCHO_HOST env var (explicit override)
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2. Active profile name via profiles system -> ``hermes.<profile>``
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3. Fallback: ``"hermes"`` (default profile)
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"""
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explicit = os.environ.get("HERMES_HONCHO_HOST", "").strip()
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if explicit:
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return explicit
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try:
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from hermes_cli.profiles import get_active_profile_name
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profile = get_active_profile_name()
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if profile and profile not in ("default", "custom"):
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return f"{HOST}.{profile}"
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except Exception:
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pass
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return HOST
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def resolve_config_path() -> Path:
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"""Return the active Honcho config path.
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Checks $HERMES_HOME/honcho.json first (instance-local), then falls back
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to ~/.honcho/config.json (global). Returns the global path if neither
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exists (for first-time setup writes).
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"""
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local_path = get_hermes_home() / "honcho.json"
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if local_path.exists():
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return local_path
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return GLOBAL_CONFIG_PATH
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_RECALL_MODE_ALIASES = {"auto": "hybrid"}
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_VALID_RECALL_MODES = {"hybrid", "context", "tools"}
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def _normalize_recall_mode(val: str) -> str:
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"""Normalize legacy recall mode values (e.g. 'auto' → 'hybrid')."""
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val = _RECALL_MODE_ALIASES.get(val, val)
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return val if val in _VALID_RECALL_MODES else "hybrid"
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def _resolve_memory_mode(
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global_val: str | dict,
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host_val: str | dict | None,
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) -> dict:
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"""Parse memoryMode (string or object) into memory_mode + peer_memory_modes.
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Resolution order: host-level wins over global.
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String form: applies as the default for all peers.
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Object form: { "default": "hybrid", "hermes": "honcho", ... }
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"default" key sets the fallback; other keys are per-peer overrides.
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"""
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# Pick the winning value (host beats global)
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val = host_val if host_val is not None else global_val
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if isinstance(val, dict):
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default = val.get("default", "hybrid")
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overrides = {k: v for k, v in val.items() if k != "default"}
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else:
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default = str(val) if val else "hybrid"
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overrides = {}
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return {"memory_mode": default, "peer_memory_modes": overrides}
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@dataclass
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class HonchoClientConfig:
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"""Configuration for Honcho client, resolved for a specific host."""
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host: str = HOST
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workspace_id: str = "hermes"
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api_key: str | None = None
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environment: str = "production"
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# Optional base URL for self-hosted Honcho (overrides environment mapping)
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base_url: str | None = None
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# Identity
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peer_name: str | None = None
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ai_peer: str = "hermes"
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linked_hosts: list[str] = field(default_factory=list)
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# Toggles
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enabled: bool = False
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save_messages: bool = True
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# memoryMode: default for all peers. "hybrid" / "honcho"
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memory_mode: str = "hybrid"
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# Per-peer overrides — any named Honcho peer. Override memory_mode when set.
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# Config object form: "memoryMode": { "default": "hybrid", "hermes": "honcho" }
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peer_memory_modes: dict[str, str] = field(default_factory=dict)
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def peer_memory_mode(self, peer_name: str) -> str:
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"""Return the effective memory mode for a named peer.
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Resolution: per-peer override → global memory_mode default.
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"""
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return self.peer_memory_modes.get(peer_name, self.memory_mode)
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# Write frequency: "async" (background thread), "turn" (sync per turn),
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# "session" (flush on session end), or int (every N turns)
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write_frequency: str | int = "async"
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# Prefetch budget
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context_tokens: int | None = None
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# Dialectic (peer.chat) settings
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# reasoning_level: "minimal" | "low" | "medium" | "high" | "max"
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# Used as the default; prefetch_dialectic may bump it dynamically.
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dialectic_reasoning_level: str = "low"
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# Max chars of dialectic result to inject into Hermes system prompt
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dialectic_max_chars: int = 600
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# Recall mode: how memory retrieval works when Honcho is active.
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# "hybrid" — auto-injected context + Honcho tools available (model decides)
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# "context" — auto-injected context only, Honcho tools removed
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# "tools" — Honcho tools only, no auto-injected context
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recall_mode: str = "hybrid"
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# Session resolution
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session_strategy: str = "per-directory"
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session_peer_prefix: bool = False
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sessions: dict[str, str] = field(default_factory=dict)
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# Raw global config for anything else consumers need
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raw: dict[str, Any] = field(default_factory=dict)
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# True when Honcho was explicitly configured for this host (hosts.hermes
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# block exists or enabled was set explicitly), vs auto-enabled from a
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# stray HONCHO_API_KEY env var.
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explicitly_configured: bool = False
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@classmethod
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def from_env(
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cls,
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workspace_id: str = "hermes",
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host: str | None = None,
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) -> HonchoClientConfig:
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"""Create config from environment variables (fallback)."""
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resolved_host = host or resolve_active_host()
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api_key = os.environ.get("HONCHO_API_KEY")
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base_url = os.environ.get("HONCHO_BASE_URL", "").strip() or None
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effective_workspace = workspace_id
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if effective_workspace == HOST and resolved_host != HOST:
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effective_workspace = resolved_host
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return cls(
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host=resolved_host,
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workspace_id=effective_workspace,
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api_key=api_key,
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environment=os.environ.get("HONCHO_ENVIRONMENT", "production"),
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base_url=base_url,
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ai_peer=resolved_host,
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enabled=bool(api_key or base_url),
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)
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@classmethod
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def from_global_config(
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cls,
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host: str | None = None,
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config_path: Path | None = None,
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) -> HonchoClientConfig:
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"""Create config from the resolved Honcho config path.
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Resolution: $HERMES_HOME/honcho.json -> ~/.honcho/config.json -> env vars.
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When host is None, derives it from the active Hermes profile.
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"""
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resolved_host = host or resolve_active_host()
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path = config_path or resolve_config_path()
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if not path.exists():
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logger.debug("No global Honcho config at %s, falling back to env", path)
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return cls.from_env(host=resolved_host)
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try:
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raw = json.loads(path.read_text(encoding="utf-8"))
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except (json.JSONDecodeError, OSError) as e:
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logger.warning("Failed to read %s: %s, falling back to env", path, e)
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return cls.from_env(host=resolved_host)
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host_block = (raw.get("hosts") or {}).get(resolved_host, {})
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# A hosts.hermes block or explicit enabled flag means the user
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# intentionally configured Honcho for this host.
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_explicitly_configured = bool(host_block) or raw.get("enabled") is True
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# Explicit host block fields win, then flat/global, then defaults
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workspace = (
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host_block.get("workspace")
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or raw.get("workspace")
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or resolved_host
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)
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ai_peer = (
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host_block.get("aiPeer")
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or raw.get("aiPeer")
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or resolved_host
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)
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linked_hosts = host_block.get("linkedHosts", [])
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api_key = (
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host_block.get("apiKey")
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or raw.get("apiKey")
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or os.environ.get("HONCHO_API_KEY")
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)
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environment = (
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host_block.get("environment")
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or raw.get("environment", "production")
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)
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base_url = (
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raw.get("baseUrl")
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or os.environ.get("HONCHO_BASE_URL", "").strip()
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or None
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)
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# Auto-enable when API key or base_url is present (unless explicitly disabled)
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# Host-level enabled wins, then root-level, then auto-enable if key/url exists.
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host_enabled = host_block.get("enabled")
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root_enabled = raw.get("enabled")
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if host_enabled is not None:
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enabled = host_enabled
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elif root_enabled is not None:
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enabled = root_enabled
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else:
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# Not explicitly set anywhere -> auto-enable if API key or base_url exists
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enabled = bool(api_key or base_url)
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# write_frequency: accept int or string
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raw_wf = (
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host_block.get("writeFrequency")
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or raw.get("writeFrequency")
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or "async"
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)
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try:
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write_frequency: str | int = int(raw_wf)
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except (TypeError, ValueError):
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write_frequency = str(raw_wf)
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# saveMessages: host wins (None-aware since False is valid)
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host_save = host_block.get("saveMessages")
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save_messages = host_save if host_save is not None else raw.get("saveMessages", True)
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# sessionStrategy / sessionPeerPrefix: host first, root fallback
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session_strategy = (
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host_block.get("sessionStrategy")
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or raw.get("sessionStrategy", "per-directory")
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)
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host_prefix = host_block.get("sessionPeerPrefix")
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session_peer_prefix = (
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host_prefix if host_prefix is not None
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else raw.get("sessionPeerPrefix", False)
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)
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return cls(
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host=resolved_host,
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workspace_id=workspace,
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api_key=api_key,
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environment=environment,
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base_url=base_url,
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peer_name=host_block.get("peerName") or raw.get("peerName"),
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ai_peer=ai_peer,
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linked_hosts=linked_hosts,
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enabled=enabled,
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save_messages=save_messages,
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**_resolve_memory_mode(
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raw.get("memoryMode", "hybrid"),
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host_block.get("memoryMode"),
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),
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write_frequency=write_frequency,
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context_tokens=host_block.get("contextTokens") or raw.get("contextTokens"),
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dialectic_reasoning_level=(
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host_block.get("dialecticReasoningLevel")
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or raw.get("dialecticReasoningLevel")
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or "low"
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),
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dialectic_max_chars=int(
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host_block.get("dialecticMaxChars")
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or raw.get("dialecticMaxChars")
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or 600
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),
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recall_mode=_normalize_recall_mode(
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host_block.get("recallMode")
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or raw.get("recallMode")
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or "hybrid"
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),
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session_strategy=session_strategy,
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session_peer_prefix=session_peer_prefix,
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sessions=raw.get("sessions", {}),
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raw=raw,
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explicitly_configured=_explicitly_configured,
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)
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@staticmethod
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def _git_repo_name(cwd: str) -> str | None:
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"""Return the git repo root directory name, or None if not in a repo."""
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import subprocess
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try:
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root = subprocess.run(
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["git", "rev-parse", "--show-toplevel"],
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capture_output=True, text=True, cwd=cwd, timeout=5,
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)
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if root.returncode == 0:
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return Path(root.stdout.strip()).name
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except (OSError, subprocess.TimeoutExpired):
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pass
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return None
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def resolve_session_name(
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self,
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cwd: str | None = None,
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session_title: str | None = None,
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session_id: str | None = None,
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) -> str | None:
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"""Resolve Honcho session name.
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Resolution order:
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1. Manual directory override from sessions map
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2. Hermes session title (from /title command)
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3. per-session strategy — Hermes session_id ({timestamp}_{hex})
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4. per-repo strategy — git repo root directory name
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5. per-directory strategy — directory basename
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6. global strategy — workspace name
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"""
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import re
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if not cwd:
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cwd = os.getcwd()
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# Manual override always wins
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manual = self.sessions.get(cwd)
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if manual:
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return manual
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# /title mid-session remap
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if session_title:
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sanitized = re.sub(r'[^a-zA-Z0-9_-]', '-', session_title).strip('-')
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if sanitized:
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if self.session_peer_prefix and self.peer_name:
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return f"{self.peer_name}-{sanitized}"
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return sanitized
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# per-session: inherit Hermes session_id (new Honcho session each run)
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if self.session_strategy == "per-session" and session_id:
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if self.session_peer_prefix and self.peer_name:
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return f"{self.peer_name}-{session_id}"
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return session_id
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# per-repo: one Honcho session per git repository
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if self.session_strategy == "per-repo":
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base = self._git_repo_name(cwd) or Path(cwd).name
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if self.session_peer_prefix and self.peer_name:
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return f"{self.peer_name}-{base}"
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return base
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# per-directory: one Honcho session per working directory (default)
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if self.session_strategy in ("per-directory", "per-session"):
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base = Path(cwd).name
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if self.session_peer_prefix and self.peer_name:
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return f"{self.peer_name}-{base}"
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return base
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# global: single session across all directories
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return self.workspace_id
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def get_linked_workspaces(self) -> list[str]:
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"""Resolve linked host keys to workspace names."""
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hosts = self.raw.get("hosts", {})
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workspaces = []
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for host_key in self.linked_hosts:
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block = hosts.get(host_key, {})
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ws = block.get("workspace") or host_key
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if ws != self.workspace_id:
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workspaces.append(ws)
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return workspaces
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_honcho_client: Honcho | None = None
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def get_honcho_client(config: HonchoClientConfig | None = None) -> Honcho:
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"""Get or create the Honcho client singleton.
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When no config is provided, attempts to load ~/.honcho/config.json
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first, falling back to environment variables.
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"""
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global _honcho_client
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if _honcho_client is not None:
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return _honcho_client
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if config is None:
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config = HonchoClientConfig.from_global_config()
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if not config.api_key and not config.base_url:
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raise ValueError(
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"Honcho API key not found. "
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"Get your API key at https://app.honcho.dev, "
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"then run 'hermes honcho setup' or set HONCHO_API_KEY. "
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"For local instances, set HONCHO_BASE_URL instead."
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)
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try:
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from honcho import Honcho
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except ImportError:
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raise ImportError(
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"honcho-ai is required for Honcho integration. "
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"Install it with: pip install honcho-ai"
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)
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# Allow config.yaml honcho.base_url to override the SDK's environment
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# mapping, enabling remote self-hosted Honcho deployments without
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# requiring the server to live on localhost.
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resolved_base_url = config.base_url
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if not resolved_base_url:
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try:
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from hermes_cli.config import load_config
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hermes_cfg = load_config()
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honcho_cfg = hermes_cfg.get("honcho", {})
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if isinstance(honcho_cfg, dict):
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resolved_base_url = honcho_cfg.get("base_url", "").strip() or None
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except Exception:
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pass
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if resolved_base_url:
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logger.info("Initializing Honcho client (base_url: %s, workspace: %s)", resolved_base_url, config.workspace_id)
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else:
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logger.info("Initializing Honcho client (host: %s, workspace: %s)", config.host, config.workspace_id)
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# Local Honcho instances don't require an API key, but the SDK
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# expects a non-empty string. Use a placeholder for local URLs.
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_is_local = resolved_base_url and (
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"localhost" in resolved_base_url
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or "127.0.0.1" in resolved_base_url
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or "::1" in resolved_base_url
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)
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effective_api_key = config.api_key or ("local" if _is_local else None)
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kwargs: dict = {
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"workspace_id": config.workspace_id,
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"api_key": effective_api_key,
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"environment": config.environment,
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}
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if resolved_base_url:
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kwargs["base_url"] = resolved_base_url
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_honcho_client = Honcho(**kwargs)
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return _honcho_client
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def reset_honcho_client() -> None:
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"""Reset the Honcho client singleton (useful for testing)."""
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global _honcho_client
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_honcho_client = None
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