from __future__ import annotations
"""
Configuration management for Hermes Agent.

Config files are stored in ~/.hermes/ for easy access:
- ~/.hermes/config.yaml  - All settings (model, toolsets, terminal, etc.)
- ~/.hermes/.env         - API keys and secrets

This module provides:
- hermes config          - Show current configuration
- hermes config edit     - Open config in editor
- hermes config set      - Set a specific value
- hermes config wizard   - Re-run setup wizard
"""

import copy
import logging
import os
import platform
import re
import stat
import subprocess
import sys
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Any, Optional, List, Tuple

logger = logging.getLogger(__name__)

_IS_WINDOWS = platform.system() == "Windows"
_ENV_VAR_NAME_RE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
_LAST_EXPANDED_CONFIG_BY_PATH: Dict[str, Any] = {}
# (path, mtime_ns, size) -> cached expanded config dict.
# load_config() returns a deepcopy of the cached value when the file
# hasn't changed since the last load, skipping yaml.safe_load +
# _deep_merge + _normalize_* + _expand_env_vars (~13 ms/call).
# save_config() + migrate_config() write via atomic_yaml_write which
# produces a fresh inode, so stat() sees a new mtime_ns and the next
# load repopulates automatically — no explicit invalidation hook.
_LOAD_CONFIG_CACHE: Dict[str, Tuple[int, int, Dict[str, Any]]] = {}
# (path, mtime_ns, size) -> cached raw yaml dict. Same pattern as
# _LOAD_CONFIG_CACHE but for read_raw_config() — used when callers want
# the user's on-disk values without defaults merged in.
_RAW_CONFIG_CACHE: Dict[str, Tuple[int, int, Dict[str, Any]]] = {}
# Env var names written to .env that aren't in OPTIONAL_ENV_VARS
# (managed by setup/provider flows directly).
_EXTRA_ENV_KEYS = frozenset({
    "OPENAI_API_KEY", "OPENAI_BASE_URL",
    "ANTHROPIC_API_KEY", "ANTHROPIC_TOKEN",
    "DISCORD_HOME_CHANNEL", "DISCORD_HOME_CHANNEL_NAME",
    "TELEGRAM_HOME_CHANNEL", "TELEGRAM_HOME_CHANNEL_NAME",
    "SLACK_HOME_CHANNEL", "SLACK_HOME_CHANNEL_NAME",
    "SIGNAL_ACCOUNT", "SIGNAL_HTTP_URL",
    "SIGNAL_ALLOWED_USERS", "SIGNAL_GROUP_ALLOWED_USERS",
    "SIGNAL_HOME_CHANNEL", "SIGNAL_HOME_CHANNEL_NAME",
    "SMS_HOME_CHANNEL", "SMS_HOME_CHANNEL_NAME",
    "DINGTALK_CLIENT_ID", "DINGTALK_CLIENT_SECRET",
    "DINGTALK_HOME_CHANNEL", "DINGTALK_HOME_CHANNEL_NAME",
    "FEISHU_APP_ID", "FEISHU_APP_SECRET", "FEISHU_ENCRYPT_KEY", "FEISHU_VERIFICATION_TOKEN",
    "FEISHU_HOME_CHANNEL", "FEISHU_HOME_CHANNEL_NAME",
    "YUANBAO_HOME_CHANNEL", "YUANBAO_HOME_CHANNEL_NAME",
    "WECOM_BOT_ID", "WECOM_SECRET",
    "WECOM_CALLBACK_CORP_ID", "WECOM_CALLBACK_CORP_SECRET", "WECOM_CALLBACK_AGENT_ID",
    "WECOM_CALLBACK_TOKEN", "WECOM_CALLBACK_ENCODING_AES_KEY",
    "WECOM_CALLBACK_HOST", "WECOM_CALLBACK_PORT",
    "WECOM_HOME_CHANNEL", "WECOM_HOME_CHANNEL_NAME",
    "WEIXIN_ACCOUNT_ID", "WEIXIN_TOKEN", "WEIXIN_BASE_URL", "WEIXIN_CDN_BASE_URL",
    "WEIXIN_HOME_CHANNEL", "WEIXIN_HOME_CHANNEL_NAME", "WEIXIN_DM_POLICY", "WEIXIN_GROUP_POLICY",
    "WEIXIN_ALLOWED_USERS", "WEIXIN_GROUP_ALLOWED_USERS", "WEIXIN_ALLOW_ALL_USERS",
    "BLUEBUBBLES_SERVER_URL", "BLUEBUBBLES_PASSWORD",
    "BLUEBUBBLES_HOME_CHANNEL", "BLUEBUBBLES_HOME_CHANNEL_NAME",
    "QQ_APP_ID", "QQ_CLIENT_SECRET", "QQBOT_HOME_CHANNEL", "QQBOT_HOME_CHANNEL_NAME",
    "QQ_HOME_CHANNEL", "QQ_HOME_CHANNEL_NAME",  # legacy aliases (pre-rename, still read for back-compat)
    "QQ_ALLOWED_USERS", "QQ_GROUP_ALLOWED_USERS", "QQ_ALLOW_ALL_USERS", "QQ_MARKDOWN_SUPPORT",
    "QQ_STT_API_KEY", "QQ_STT_BASE_URL", "QQ_STT_MODEL",
    "IRC_SERVER", "IRC_PORT", "IRC_NICKNAME", "IRC_CHANNEL",
    "IRC_USE_TLS", "IRC_SERVER_PASSWORD", "IRC_NICKSERV_PASSWORD",
    "TERMINAL_ENV", "TERMINAL_SSH_KEY", "TERMINAL_SSH_PORT",
    "WHATSAPP_MODE", "WHATSAPP_ENABLED",
    "MATTERMOST_HOME_CHANNEL", "MATTERMOST_HOME_CHANNEL_NAME", "MATTERMOST_REPLY_MODE",
    "MATRIX_PASSWORD", "MATRIX_ENCRYPTION", "MATRIX_DEVICE_ID", "MATRIX_HOME_ROOM",
    "MATRIX_REQUIRE_MENTION", "MATRIX_FREE_RESPONSE_ROOMS", "MATRIX_AUTO_THREAD", "MATRIX_DM_AUTO_THREAD",
    "MATRIX_RECOVERY_KEY",
    # Langfuse observability plugin — optional tuning keys + standard SDK vars.
    # Activation is via plugins.enabled (opt-in through `hermes plugins enable
    # observability/langfuse` or `hermes tools → Langfuse`); credentials gate
    # the plugin at runtime.
    "HERMES_LANGFUSE_ENV",
    "HERMES_LANGFUSE_RELEASE",
    "HERMES_LANGFUSE_SAMPLE_RATE",
    "HERMES_LANGFUSE_MAX_CHARS",
    "HERMES_LANGFUSE_DEBUG",
    "LANGFUSE_PUBLIC_KEY",
    "LANGFUSE_SECRET_KEY",
    "LANGFUSE_BASE_URL",
})
import yaml

from hermes_cli.colors import Colors, color
from hermes_cli.default_soul import DEFAULT_SOUL_MD


# =============================================================================
# Managed mode (NixOS declarative config)
# =============================================================================

_MANAGED_TRUE_VALUES = ("true", "1", "yes")
_MANAGED_SYSTEM_NAMES = {
    "brew": "Homebrew",
    "homebrew": "Homebrew",
    "nix": "NixOS",
    "nixos": "NixOS",
}


def get_managed_system() -> Optional[str]:
    """Return the package manager owning this install, if any."""
    raw = os.getenv("HERMES_MANAGED", "").strip()
    if raw:
        normalized = raw.lower()
        if normalized in _MANAGED_TRUE_VALUES:
            return "NixOS"
        return _MANAGED_SYSTEM_NAMES.get(normalized, raw)

    managed_marker = get_hermes_home() / ".managed"
    if managed_marker.exists():
        return "NixOS"
    return None


def is_managed() -> bool:
    """Check if Hermes is running in package-manager-managed mode.

    Two signals: the HERMES_MANAGED env var (set by the systemd service),
    or a .managed marker file in HERMES_HOME (set by the NixOS activation
    script, so interactive shells also see it).
    """
    return get_managed_system() is not None


def get_managed_update_command() -> Optional[str]:
    """Return the preferred upgrade command for a managed install."""
    managed_system = get_managed_system()
    if managed_system == "Homebrew":
        return "brew upgrade hermes-agent"
    if managed_system == "NixOS":
        return "sudo nixos-rebuild switch"
    return None


def recommended_update_command() -> str:
    """Return the best update command for the current installation."""
    return get_managed_update_command() or "hermes update"


def format_managed_message(action: str = "modify this Hermes installation") -> str:
    """Build a user-facing error for managed installs."""
    managed_system = get_managed_system() or "a package manager"
    raw = os.getenv("HERMES_MANAGED", "").strip().lower()

    if managed_system == "NixOS":
        env_hint = "true" if raw in _MANAGED_TRUE_VALUES else raw or "true"
        return (
            f"Cannot {action}: this Hermes installation is managed by NixOS "
            f"(HERMES_MANAGED={env_hint}).\n"
            "Edit services.hermes-agent.settings in your configuration.nix and run:\n"
            "  sudo nixos-rebuild switch"
        )

    if managed_system == "Homebrew":
        env_hint = raw or "homebrew"
        return (
            f"Cannot {action}: this Hermes installation is managed by Homebrew "
            f"(HERMES_MANAGED={env_hint}).\n"
            "Use:\n"
            "  brew upgrade hermes-agent"
        )

    return (
        f"Cannot {action}: this Hermes installation is managed by {managed_system}.\n"
        "Use your package manager to upgrade or reinstall Hermes."
    )

def managed_error(action: str = "modify configuration"):
    """Print user-friendly error for managed mode."""
    print(format_managed_message(action), file=sys.stderr)


# =============================================================================
# Container-aware CLI (NixOS container mode)
# =============================================================================

def get_container_exec_info() -> Optional[dict]:
    """Read container mode metadata from HERMES_HOME/.container-mode.

    Returns a dict with keys: backend, container_name, exec_user, hermes_bin
    or None if container mode is not active, we're already inside the
    container, or HERMES_DEV=1 is set.

    The .container-mode file is written by the NixOS activation script when
    container.enable = true. It tells the host CLI to exec into the container
    instead of running locally.
    """
    if os.environ.get("HERMES_DEV") == "1":
        return None

    from hermes_constants import is_container
    if is_container():
        return None

    container_mode_file = get_hermes_home() / ".container-mode"

    try:
        info = {}
        with open(container_mode_file, "r") as f:
            for line in f:
                line = line.strip()
                if "=" in line and not line.startswith("#"):
                    key, _, value = line.partition("=")
                    info[key.strip()] = value.strip()
    except FileNotFoundError:
        return None
    # All other exceptions (PermissionError, malformed data, etc.) propagate

    backend = info.get("backend", "docker")
    container_name = info.get("container_name", "hermes-agent")
    exec_user = info.get("exec_user", "hermes")
    hermes_bin = info.get("hermes_bin", "/data/current-package/bin/hermes")

    return {
        "backend": backend,
        "container_name": container_name,
        "exec_user": exec_user,
        "hermes_bin": hermes_bin,
    }


# =============================================================================
# Config paths
# =============================================================================

# Re-export from hermes_constants — canonical definition lives there.
from hermes_constants import get_hermes_home  # noqa: F811,E402
from utils import atomic_replace

def get_config_path() -> Path:
    """Get the main config file path."""
    return get_hermes_home() / "config.yaml"

def get_env_path() -> Path:
    """Get the .env file path (for API keys)."""
    return get_hermes_home() / ".env"

def get_project_root() -> Path:
    """Get the project installation directory."""
    return Path(__file__).parent.parent.resolve()

def _secure_dir(path):
    """Set directory to owner-only access (0700 by default). No-op on Windows.

    Skipped in managed mode — the NixOS module sets group-readable
    permissions (0750) so interactive users in the hermes group can
    share state with the gateway service.

    The mode can be overridden via the HERMES_HOME_MODE environment variable
    (e.g. HERMES_HOME_MODE=0701) for deployments where a web server (nginx,
    caddy, etc.) needs to traverse HERMES_HOME to reach a served subdirectory.
    The execute-only bit on a directory permits cd-through without exposing
    directory listings.
    """
    if is_managed():
        return
    try:
        mode_str = os.environ.get("HERMES_HOME_MODE", "").strip()
        mode = int(mode_str, 8) if mode_str else 0o700
    except ValueError:
        mode = 0o700
    try:
        os.chmod(path, mode)
    except (OSError, NotImplementedError):
        pass


def _is_container() -> bool:
    """Detect if we're running inside a Docker/Podman/LXC container.

    When Hermes runs in a container with volume-mounted config files, forcing
    0o600 permissions breaks multi-process setups where the gateway and
    dashboard run as different UIDs or the volume mount requires broader
    permissions.
    """
    # Explicit opt-out
    if os.environ.get("HERMES_CONTAINER") or os.environ.get("HERMES_SKIP_CHMOD"):
        return True
    # Docker / Podman marker file
    if os.path.exists("/.dockerenv"):
        return True
    # LXC / cgroup-based detection
    try:
        with open("/proc/1/cgroup", "r") as f:
            cgroup_content = f.read()
        if "docker" in cgroup_content or "lxc" in cgroup_content or "kubepods" in cgroup_content:
            return True
    except (OSError, IOError):
        pass
    return False


def _secure_file(path):
    """Set file to owner-only read/write (0600). No-op on Windows.

    Skipped in managed mode — the NixOS activation script sets
    group-readable permissions (0640) on config files.

    Skipped in containers — Docker/Podman volume mounts often need broader
    permissions.  Set HERMES_SKIP_CHMOD=1 to force-skip on other systems.
    """
    if is_managed() or _is_container():
        return
    try:
        if os.path.exists(str(path)):
            os.chmod(path, 0o600)
    except (OSError, NotImplementedError):
        pass


def _ensure_default_soul_md(home: Path) -> None:
    """Seed a default SOUL.md into HERMES_HOME if the user doesn't have one yet."""
    soul_path = home / "SOUL.md"
    if soul_path.exists():
        return
    soul_path.write_text(DEFAULT_SOUL_MD, encoding="utf-8")
    _secure_file(soul_path)


def ensure_hermes_home():
    """Ensure ~/.hermes directory structure exists with secure permissions.

    In managed mode (NixOS), dirs are created by the activation script with
    setgid + group-writable (2770). We skip mkdir and set umask(0o007) so
    any files created (e.g. SOUL.md) are group-writable (0660).
    """
    home = get_hermes_home()
    if is_managed():
        old_umask = os.umask(0o007)
        try:
            _ensure_hermes_home_managed(home)
        finally:
            os.umask(old_umask)
    else:
        home.mkdir(parents=True, exist_ok=True)
        _secure_dir(home)
        for subdir in ("cron", "sessions", "logs", "logs/curator", "memories"):
            d = home / subdir
            d.mkdir(parents=True, exist_ok=True)
            _secure_dir(d)
        _ensure_default_soul_md(home)


def _ensure_hermes_home_managed(home: Path):
    """Managed-mode variant: verify dirs exist (activation creates them), seed SOUL.md."""
    if not home.is_dir():
        raise RuntimeError(
            f"HERMES_HOME {home} does not exist. "
            "Run 'sudo nixos-rebuild switch' first."
        )
    for subdir in ("cron", "sessions", "logs", "memories"):
        d = home / subdir
        if not d.is_dir():
            raise RuntimeError(
                f"{d} does not exist. "
                "Run 'sudo nixos-rebuild switch' first."
            )
    # Curator reports dir is a sub-path of logs/; create it if missing.
    # In managed mode the activation script may not know about this subdir,
    # so we mkdir it ourselves (it's inside an already-secured logs/ dir).
    (home / "logs" / "curator").mkdir(parents=True, exist_ok=True)
    # Inside umask(0o007) scope — SOUL.md will be created as 0660
    _ensure_default_soul_md(home)


# =============================================================================
# Config loading/saving
# =============================================================================

DEFAULT_CONFIG = {
    "model": "",
    "providers": {},
    "fallback_providers": [],
    "credential_pool_strategies": {},
    "toolsets": ["hermes-cli"],
    "agent": {
        "max_turns": 90,
        # Inactivity timeout for gateway agent execution (seconds).
        # The agent can run indefinitely as long as it's actively calling
        # tools or receiving API responses.  Only fires when the agent has
        # been completely idle for this duration.  0 = unlimited.
        "gateway_timeout": 1800,
        # Graceful drain timeout for gateway stop/restart (seconds).
        # The gateway stops accepting new work, waits for running agents
        # to finish, then interrupts any remaining runs after the timeout.
        # 0 = no drain, interrupt immediately.
        "restart_drain_timeout": 60,
        # Max app-level retry attempts for API errors (connection drops,
        # provider timeouts, 5xx, etc.) before the agent surfaces the
        # failure.  The OpenAI SDK already does its own low-level retries
        # (max_retries=2 default) for transient network errors; this is
        # the Hermes-level retry loop that wraps the whole call.  Lower
        # this to 1 if you use fallback providers and want fast failover
        # on flaky primaries; raise it if you prefer to tolerate longer
        # provider hiccups on a single provider.
        "api_max_retries": 3,
        "service_tier": "",
        # Tool-use enforcement: injects system prompt guidance that tells the
        # model to actually call tools instead of describing intended actions.
        # Values: "auto" (default — applies to gpt/codex models), true/false
        # (force on/off for all models), or a list of model-name substrings
        # to match (e.g. ["gpt", "codex", "gemini", "qwen"]).
        "tool_use_enforcement": "auto",
        # Staged inactivity warning: send a warning to the user at this
        # threshold before escalating to a full timeout.  The warning fires
        # once per run and does not interrupt the agent.  0 = disable warning.
        "gateway_timeout_warning": 900,
        # Periodic "still working" notification interval (seconds).
        # Sends a status message every N seconds so the user knows the
        # agent hasn't died during long tasks.  0 = disable notifications.
        # Lower values mean faster feedback on slow tasks but more chat
        # noise; 180s is a compromise that catches spinning weak-model runs
        # (60+ tool iterations with tiny output) before users assume the
        # bot is dead and /restart.
        "gateway_notify_interval": 180,
        # Freshness window for the gateway auto-continue note (seconds).
        # After a gateway crash/restart/SIGTERM mid-run, the next user
        # message gets a "[System note: your previous turn was
        # interrupted — process the unfinished tool result(s) first]"
        # prepended so the model picks up where it left off.  That's the
        # right behaviour while the interruption is fresh, but stale
        # markers (transcript last touched hours or days ago) can revive
        # an unrelated old task when the user's next message starts new
        # work.  This window is the max age of the last persisted
        # transcript row for which we still inject the continue note.
        # Default 3600s comfortably covers a long turn (gateway_timeout
        # default is 1800s) plus runtime slack.  Set to 0 to disable the
        # gate and restore pre-fix behaviour (always inject).
        "gateway_auto_continue_freshness": 3600,
        # How user-attached images are presented to the main model on each turn.
        #   "auto"   — attach natively when the active model reports
        #              supports_vision=True AND the user hasn't explicitly
        #              configured auxiliary.vision.provider.  Otherwise fall
        #              back to text (vision_analyze pre-analysis).
        #   "native" — always attach natively; non-vision models will either
        #              error at the provider or get a last-chance text fallback
        #              (see run_agent._prepare_messages_for_api).
        #   "text"   — always pre-analyze with vision_analyze and prepend the
        #              description as text; the main model never sees pixels.
        # Affects gateway platforms, the TUI, and CLI /attach.  vision_analyze
        # remains available as a tool regardless of this setting — the routing
        # only controls how inbound user images are presented.
        "image_input_mode": "auto",
        "disabled_toolsets": [],
    },
    
    "terminal": {
        "backend": "local",
        "modal_mode": "auto",
        "cwd": ".",  # Use current directory
        "timeout": 180,
        # Environment variables to pass through to sandboxed execution
        # (terminal and execute_code).  Skill-declared required_environment_variables
        # are passed through automatically; this list is for non-skill use cases.
        "env_passthrough": [],
        # Extra files to source in the login shell when building the
        # per-session environment snapshot.  Use this when tools like nvm,
        # pyenv, asdf, or custom PATH entries are registered by files that
        # a bash login shell would skip — most commonly ``~/.bashrc``
        # (bash doesn't source bashrc in non-interactive login mode) or
        # zsh-specific files like ``~/.zshrc`` / ``~/.zprofile``.
        # Paths support ``~`` / ``${VAR}``. Missing files are silently
        # skipped. When empty, Hermes auto-sources ``~/.profile``,
        # ``~/.bash_profile``, and ``~/.bashrc`` (in that order) if the
        # snapshot shell is bash (this is the ``auto_source_bashrc``
        # behaviour — disable with that key if you want strict login-only
        # semantics).
        "shell_init_files": [],
        # When true (default), Hermes sources the user's shell rc files
        # (``~/.profile``, ``~/.bash_profile``, ``~/.bashrc``) in the
        # login shell used to build the environment snapshot. This
        # captures PATH additions, shell functions, and aliases — which a
        # plain ``bash -l -c`` would otherwise miss because bash skips
        # bashrc in non-interactive login mode, and because a default
        # Debian/Ubuntu ``~/.bashrc`` short-circuits on non-interactive
        # sources. ``~/.profile`` and ``~/.bash_profile`` are tried first
        # because ``n`` / ``nvm`` / ``asdf`` installers typically write
        # their PATH exports there without an interactivity guard. Turn
        # this off if your rc files misbehave when sourced
        # non-interactively (e.g. one that hard-exits on TTY checks).
        "auto_source_bashrc": True,
        "docker_image": "nikolaik/python-nodejs:python3.11-nodejs20",
        "docker_forward_env": [],
        # Explicit environment variables to set inside Docker containers.
        # Unlike docker_forward_env (which reads values from the host process),
        # docker_env lets you specify exact key-value pairs — useful when Hermes
        # runs as a systemd service without access to the user's shell environment.
        # Example: {"SSH_AUTH_SOCK": "/run/user/1000/ssh-agent.sock"}
        "docker_env": {},
        "singularity_image": "docker://nikolaik/python-nodejs:python3.11-nodejs20",
        "modal_image": "nikolaik/python-nodejs:python3.11-nodejs20",
        "daytona_image": "nikolaik/python-nodejs:python3.11-nodejs20",
        "vercel_runtime": "node24",
        # Container resource limits (docker, singularity, modal, daytona, vercel_sandbox — ignored for local/ssh)
        "container_cpu": 1,
        "container_memory": 5120,       # MB (default 5GB)
        "container_disk": 51200,        # MB (default 50GB)
        "container_persistent": True,   # Persist filesystem across sessions
        # Docker volume mounts — share host directories with the container.
        # Each entry is "host_path:container_path" (standard Docker -v syntax).
        # Example:
        # ["/home/user/projects:/workspace/projects",
        #  "/home/user/.hermes/cache/documents:/output"]
        # For gateway MEDIA delivery, write inside Docker to /output/... and emit
        # the host-visible path in MEDIA:, not the container path.
        "docker_volumes": [],
        # Explicit opt-in: mount the host cwd into /workspace for Docker sessions.
        # Default off because passing host directories into a sandbox weakens isolation.
        "docker_mount_cwd_to_workspace": False,
        # Explicit opt-in: run the Docker container as the host user's uid:gid
        # (via `--user`).  When enabled, files written into bind-mounted dirs
        # (docker_volumes, the persistent workspace, or the auto-mounted cwd)
        # are owned by your host user instead of root, which avoids needing
        # `sudo chown` after container runs. Default off to preserve behavior
        # for images whose entrypoints expect to start as root (e.g. the
        # bundled Hermes image, which drops to the `hermes` user via gosu).
        # When on, SETUID/SETGID caps are omitted from the container since
        # no privilege drop is needed.
        "docker_run_as_host_user": False,
        # Persistent shell — keep a long-lived bash shell across execute() calls
        # so cwd/env vars/shell variables survive between commands.
        # Enabled by default for non-local backends (SSH); local is always opt-in
        # via TERMINAL_LOCAL_PERSISTENT env var.
        "persistent_shell": True,
    },
    
    "browser": {
        "inactivity_timeout": 120,
        "command_timeout": 30,  # Timeout for browser commands in seconds (screenshot, navigate, etc.)
        "record_sessions": False,  # Auto-record browser sessions as WebM videos
        "allow_private_urls": False,  # Allow navigating to private/internal IPs (localhost, 192.168.x.x, etc.)
        "auto_local_for_private_urls": True,  # When a cloud provider is set, auto-spawn local Chromium for LAN/localhost URLs instead of sending them to the cloud
        "cdp_url": "",  # Optional persistent CDP endpoint for attaching to an existing Chromium/Chrome
        # CDP supervisor — dialog + frame detection via a persistent WebSocket.
        # Active only when a CDP-capable backend is attached (Browserbase or
        # local Chrome via /browser connect). See
        # website/docs/developer-guide/browser-supervisor.md.
        "dialog_policy": "must_respond",  # must_respond | auto_dismiss | auto_accept
        "dialog_timeout_s": 300,  # Safety auto-dismiss after N seconds under must_respond
        "camofox": {
            # When true, Hermes sends a stable profile-scoped userId to Camofox
            # so the server maps it to a persistent Firefox profile automatically.
            # When false (default), each session gets a random userId (ephemeral).
            "managed_persistence": False,
        },
    },

    # Filesystem checkpoints — automatic snapshots before destructive file ops.
    # When enabled, the agent takes a snapshot of the working directory once per
    # conversation turn (on first write_file/patch call).  Use /rollback to restore.
    "checkpoints": {
        "enabled": True,
        "max_snapshots": 50,  # Max checkpoints to keep per directory
        # Auto-maintenance: shadow repos accumulate forever under
        # ~/.hermes/checkpoints/ (one per cd'd working directory). Field
        # reports put the typical offender at 1000+ repos / ~12 GB. When
        # auto_prune is on, hermes sweeps at startup (at most once per
        # min_interval_hours) and deletes:
        #   * orphan repos: HERMES_WORKDIR no longer exists on disk
        #   * stale repos:  newest mtime older than retention_days
        # Opt-in so users who rely on /rollback against long-ago sessions
        # never lose data silently.
        "auto_prune": False,
        "retention_days": 7,
        "delete_orphans": True,
        "min_interval_hours": 24,
    },

    # Maximum characters returned by a single read_file call.  Reads that
    # exceed this are rejected with guidance to use offset+limit.
    # 100K chars ≈ 25–35K tokens across typical tokenisers.
    "file_read_max_chars": 100_000,

    # Tool-output truncation thresholds. When terminal output or a
    # single read_file page exceeds these limits, Hermes truncates the
    # payload sent to the model (keeping head + tail for terminal,
    # enforcing pagination for read_file). Tuning these trades context
    # footprint against how much raw output the model can see in one
    # shot. Ported from anomalyco/opencode PR #23770.
    #
    # - max_bytes:       terminal_tool output cap, in chars
    #                    (default 50_000 ≈ 12-15K tokens).
    # - max_lines:       read_file pagination cap — the maximum `limit`
    #                    a single read_file call can request before
    #                    being clamped (default 2000).
    # - max_line_length: per-line cap applied when read_file emits a
    #                    line-numbered view (default 2000 chars).
    "tool_output": {
        "max_bytes": 50_000,
        "max_lines": 2000,
        "max_line_length": 2000,
    },

    # Tool loop guardrails nudge models when they repeat failed or
    # non-progressing tool calls. Soft warnings are always-on by default;
    # hard stops are opt-in so interactive CLI/TUI sessions keep flowing.
    "tool_loop_guardrails": {
        "warnings_enabled": True,
        "hard_stop_enabled": False,
        "warn_after": {
            "exact_failure": 2,
            "same_tool_failure": 3,
            "idempotent_no_progress": 2,
        },
        "hard_stop_after": {
            "exact_failure": 5,
            "same_tool_failure": 8,
            "idempotent_no_progress": 5,
        },
    },

    "compression": {
        "enabled": True,
        "threshold": 0.50,            # compress when context usage exceeds this ratio
        "target_ratio": 0.20,         # fraction of threshold to preserve as recent tail
        "protect_last_n": 20,         # minimum recent messages to keep uncompressed
        "hygiene_hard_message_limit": 400,  # gateway session-hygiene force-compress threshold by message count
    },

    # Anthropic prompt caching (Claude via OpenRouter or native Anthropic API).
    # cache_ttl must be "5m" or "1h" (Anthropic-supported tiers); other values are ignored.
    "prompt_caching": {
        "cache_ttl": "5m",
    },

    # AWS Bedrock provider configuration.
    # Only used when model.provider is "bedrock".
    "bedrock": {
        "region": "",  # AWS region for Bedrock API calls (empty = AWS_REGION env var → us-east-1)
        "discovery": {
            "enabled": True,           # Auto-discover models via ListFoundationModels
            "provider_filter": [],     # Only show models from these providers (e.g. ["anthropic", "amazon"])
            "refresh_interval": 3600,  # Cache discovery results for this many seconds
        },
        "guardrail": {
            # Amazon Bedrock Guardrails — content filtering and safety policies.
            # Create a guardrail in the Bedrock console, then set the ID and version here.
            # See: https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html
            "guardrail_identifier": "",  # e.g. "abc123def456"
            "guardrail_version": "",     # e.g. "1" or "DRAFT"
            "stream_processing_mode": "async",  # "sync" or "async"
            "trace": "disabled",         # "enabled", "disabled", or "enabled_full"
        },
    },

    # Auxiliary model config — provider:model for each side task.
    # Format: provider is the provider name, model is the model slug.
    # "auto" for provider = auto-detect best available provider.
    # Empty model = use provider's default auxiliary model.
    # All tasks fall back to openrouter:google/gemini-3-flash-preview if
    # the configured provider is unavailable.
    "auxiliary": {
        "vision": {
            "provider": "auto",    # auto | openrouter | nous | codex | custom
            "model": "",           # e.g. "google/gemini-2.5-flash", "gpt-4o"
            "base_url": "",        # direct OpenAI-compatible endpoint (takes precedence over provider)
            "api_key": "",         # API key for base_url (falls back to OPENAI_API_KEY)
            "timeout": 120,        # seconds — LLM API call timeout; vision payloads need generous timeout
            "extra_body": {},      # OpenAI-compatible provider-specific request fields
            "download_timeout": 30,  # seconds — image HTTP download timeout; increase for slow connections
        },
        "web_extract": {
            "provider": "auto",
            "model": "",
            "base_url": "",
            "api_key": "",
            "timeout": 360,        # seconds (6min) — per-attempt LLM summarization timeout; increase for slow local models
            "extra_body": {},
        },
        "compression": {
            "provider": "auto",
            "model": "",
            "base_url": "",
            "api_key": "",
            "timeout": 120,        # seconds — compression summarises large contexts; increase for local models
            "extra_body": {},
        },
        "session_search": {
            "provider": "auto",
            "model": "",
            "base_url": "",
            "api_key": "",
            "timeout": 30,
            "extra_body": {},
            "max_concurrency": 3,  # Clamp parallel summaries to avoid request-burst 429s on small providers
        },
        "skills_hub": {
            "provider": "auto",
            "model": "",
            "base_url": "",
            "api_key": "",
            "timeout": 30,
            "extra_body": {},
        },
        "approval": {
            "provider": "auto",
            "model": "",           # fast/cheap model recommended (e.g. gemini-flash, haiku)
            "base_url": "",
            "api_key": "",
            "timeout": 30,
            "extra_body": {},
        },
        "mcp": {
            "provider": "auto",
            "model": "",
            "base_url": "",
            "api_key": "",
            "timeout": 30,
            "extra_body": {},
        },
        "title_generation": {
            "provider": "auto",
            "model": "",
            "base_url": "",
            "api_key": "",
            "timeout": 30,
            "extra_body": {},
        },
        # Curator — skill-usage review fork. Timeout is generous because the
        # review pass can take several minutes on reasoning models (umbrella
        # building over hundreds of candidate skills). "auto" = use main chat
        # model; override via `hermes model` → auxiliary → Curator to route
        # to a cheaper aux model (e.g. openrouter google/gemini-3-flash-preview).
        "curator": {
            "provider": "auto",
            "model": "",
            "base_url": "",
            "api_key": "",
            "timeout": 600,
            "extra_body": {},
        },
    },
    
    "display": {
        "compact": False,
        "personality": "kawaii",
        "resume_display": "full",
        "busy_input_mode": "interrupt",  # interrupt | queue | steer
        # When true, `hermes --tui` auto-resumes the most recent human-
        # facing session on launch instead of forging a fresh one.
        # Mirrors `hermes -c` muscle memory.  Default off so existing
        # users aren't surprised.  HERMES_TUI_RESUME=<id> always wins.
        "tui_auto_resume_recent": False,
        "bell_on_complete": False,
        "show_reasoning": False,
        "streaming": False,
        "final_response_markdown": "strip",  # render | strip | raw
        "inline_diffs": True,     # Show inline diff previews for write actions (write_file, patch, skill_manage)
        "show_cost": False,       # Show $ cost in the status bar (off by default)
        "skin": "default",
        # TUI busy indicator style: kaomoji (default), emoji, unicode (braille
        # spinner), or ascii.  Live-swappable via `/indicator <style>`.
        "tui_status_indicator": "kaomoji",
        "user_message_preview": {  # CLI: how many submitted user-message lines to echo back in scrollback
            "first_lines": 2,
            "last_lines": 2,
        },
        "interim_assistant_messages": True,  # Gateway: show natural mid-turn assistant status messages
        "tool_progress_command": False,  # Enable /verbose command in messaging gateway
        "tool_progress_overrides": {},  # DEPRECATED — use display.platforms instead
        "tool_preview_length": 0,  # Max chars for tool call previews (0 = no limit, show full paths/commands)
        "platforms": {},  # Per-platform display overrides: {"telegram": {"tool_progress": "all"}, "slack": {"tool_progress": "off"}}
        # Gateway runtime-metadata footer appended to the FINAL message of a turn
        # (disabled by default to keep replies minimal). When enabled, renders
        # e.g. `model · 68% · ~/projects/hermes`. Per-platform overrides go under
        # display.platforms.<platform>.runtime_footer.
        "runtime_footer": {
            "enabled": False,
            "fields": ["model", "context_pct", "cwd"],  # Order shown; drop any to hide
        },
    },

    # Web dashboard settings
    "dashboard": {
        "theme": "default",  # Dashboard visual theme: "default", "midnight", "ember", "mono", "cyberpunk", "rose"
    },

    # Privacy settings
    "privacy": {
        "redact_pii": False,  # When True, hash user IDs and strip phone numbers from LLM context
    },
    
    # Text-to-speech configuration
    # Each provider supports an optional `max_text_length:` override for the
    # per-request input-character cap. Omit it to use the provider's documented
    # limit (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k model-aware,
    # Gemini 5000, Edge 5000, Mistral 4000, NeuTTS/KittenTTS 2000).
    "tts": {
        "provider": "edge",  # "edge" (free) | "elevenlabs" (premium) | "openai" | "xai" | "minimax" | "mistral" | "gemini" | "neutts" (local) | "kittentts" (local) | "piper" (local)
        "edge": {
            "voice": "en-US-AriaNeural",
            # Popular: AriaNeural, JennyNeural, AndrewNeural, BrianNeural, SoniaNeural
        },
        "elevenlabs": {
            "voice_id": "pNInz6obpgDQGcFmaJgB",  # Adam
            "model_id": "eleven_multilingual_v2",
        },
        "openai": {
            "model": "gpt-4o-mini-tts",
            "voice": "alloy",
            # Voices: alloy, echo, fable, onyx, nova, shimmer
        },
        "xai": {
            "voice_id": "eve",
            "language": "en",
            "sample_rate": 24000,
            "bit_rate": 128000,
        },
        "mistral": {
            "model": "voxtral-mini-tts-2603",
            "voice_id": "c69964a6-ab8b-4f8a-9465-ec0925096ec8",  # Paul - Neutral
        },
        "neutts": {
            "ref_audio": "",  # Path to reference voice audio (empty = bundled default)
            "ref_text": "",   # Path to reference voice transcript (empty = bundled default)
            "model": "neuphonic/neutts-air-q4-gguf",  # HuggingFace model repo
            "device": "cpu",  # cpu, cuda, or mps
        },
        "piper": {
            # Voice name (e.g. "en_US-lessac-medium") downloaded on first
            # use, OR an absolute path to a pre-downloaded .onnx file.
            # Full voice list: https://github.com/OHF-Voice/piper1-gpl/blob/main/docs/VOICES.md
            "voice": "en_US-lessac-medium",
            # "voices_dir": "",        # Override voice cache dir; default = ~/.hermes/cache/piper-voices/
            # "use_cuda": False,       # Requires onnxruntime-gpu
            # "length_scale": 1.0,     # 2.0 = twice as slow
            # "noise_scale": 0.667,
            # "noise_w_scale": 0.8,
            # "volume": 1.0,
            # "normalize_audio": True,
        },
    },
    
    "stt": {
        "enabled": True,
        "provider": "local",  # "local" (free, faster-whisper) | "groq" | "openai" (Whisper API) | "mistral" (Voxtral Transcribe)
        "local": {
            "model": "base",  # tiny, base, small, medium, large-v3
            "language": "",  # auto-detect by default; set to "en", "es", "fr", etc. to force
        },
        "openai": {
            "model": "whisper-1",  # whisper-1, gpt-4o-mini-transcribe, gpt-4o-transcribe
        },
        "mistral": {
            "model": "voxtral-mini-latest",  # voxtral-mini-latest, voxtral-mini-2602
        },
    },

    "voice": {
        "record_key": "ctrl+b",
        "max_recording_seconds": 120,
        "auto_tts": False,
        "beep_enabled": True,         # Play record start/stop beeps in CLI voice mode
        "silence_threshold": 200,     # RMS below this = silence (0-32767)
        "silence_duration": 3.0,      # Seconds of silence before auto-stop
    },
    
    "human_delay": {
        "mode": "off",
        "min_ms": 800,
        "max_ms": 2500,
    },
    
    # Context engine -- controls how the context window is managed when
    # approaching the model's token limit.
    # "compressor" = built-in lossy summarization (default).
    # Set to a plugin name to activate an alternative engine (e.g. "lcm"
    # for Lossless Context Management).  The engine must be installed as
    # a plugin in plugins/context_engine/<name>/ or ~/.hermes/plugins/.
    "context": {
        "engine": "compressor",
    },

    # Persistent memory -- bounded curated memory injected into system prompt
    "memory": {
        "memory_enabled": True,
        "user_profile_enabled": True,
        "memory_char_limit": 2200,   # ~800 tokens at 2.75 chars/token
        "user_char_limit": 1375,     # ~500 tokens at 2.75 chars/token
        # External memory provider plugin (empty = built-in only).
        # Set to a provider name to activate: "openviking", "mem0",
        # "hindsight", "holographic", "retaindb", "byterover".
        # Only ONE external provider is allowed at a time.
        "provider": "",
    },

    # Subagent delegation — override the provider:model used by delegate_task
    # so child agents can run on a different (cheaper/faster) provider and model.
    # Uses the same runtime provider resolution as CLI/gateway startup, so all
    # configured providers (OpenRouter, Nous, Z.ai, Kimi, etc.) are supported.
    "delegation": {
        "model": "",       # e.g. "google/gemini-3-flash-preview" (empty = inherit parent model)
        "provider": "",    # e.g. "openrouter" (empty = inherit parent provider + credentials)
        "base_url": "",    # direct OpenAI-compatible endpoint for subagents
        "api_key": "",     # API key for delegation.base_url (falls back to OPENAI_API_KEY)
        # When delegate_task narrows child toolsets explicitly, preserve any
        # MCP toolsets the parent already has enabled. On by default so
        # narrowing (e.g. toolsets=["web","browser"]) expresses "I want these
        # extras" without silently stripping MCP tools the parent already has.
        # Set to false for strict intersection.
        "inherit_mcp_toolsets": True,
        "max_iterations": 50,  # per-subagent iteration cap (each subagent gets its own budget,
                               # independent of the parent's max_iterations)
        "child_timeout_seconds": 600,  # wall-clock timeout for each child agent (floor 30s,
                                       # no ceiling). High-reasoning models on large tasks
                                       # (e.g. gpt-5.5 xhigh, opus-4.6) need generous budgets;
                                       # raise if children time out before producing output.
        "reasoning_effort": "",  # reasoning effort for subagents: "xhigh", "high", "medium",
                                 # "low", "minimal", "none" (empty = inherit parent's level)
        "max_concurrent_children": 3,  # max parallel children per batch; floor of 1 enforced, no ceiling
        # Orchestrator role controls (see tools/delegate_tool.py:_get_max_spawn_depth
        # and _get_orchestrator_enabled).  Values are clamped to [1, 3] with a
        # warning log if out of range.
        "max_spawn_depth": 1,        # depth cap (1 = flat [default], 2 = orchestrator→leaf, 3 = three-level)
        "orchestrator_enabled": True,  # kill switch for role="orchestrator"
        # When a subagent hits a dangerous-command approval prompt, the parent's
        # prompt_toolkit TUI owns stdin — a thread-local input() call from the
        # subagent worker would deadlock the parent UI. To avoid the deadlock,
        # subagent threads ALWAYS resolve approvals non-interactively:
        #   false (default) → auto-deny with a logger.warning audit line (safe)
        #   true             → auto-approve "once" with a logger.warning audit line
        # Flip to true only if you trust delegated work to run dangerous cmds
        # without human review (cron pipelines, batch automation, etc.).
        "subagent_auto_approve": False,
    },

    # Ephemeral prefill messages file — JSON list of {role, content} dicts
    # injected at the start of every API call for few-shot priming.
    # Never saved to sessions, logs, or trajectories.
    "prefill_messages_file": "",
    
    # Skills — external skill directories for sharing skills across tools/agents.
    # Each path is expanded (~, ${VAR}) and resolved.  Read-only — skill creation
    # always goes to ~/.hermes/skills/.
    "skills": {
        "external_dirs": [],   # e.g. ["~/.agents/skills", "/shared/team-skills"]
        # Substitute ${HERMES_SKILL_DIR} and ${HERMES_SESSION_ID} in SKILL.md
        # content with the absolute skill directory and the active session id
        # before the agent sees it.  Lets skill authors reference bundled
        # scripts without the agent having to join paths.
        "template_vars": True,
        # Pre-execute inline shell snippets written as !`cmd` in SKILL.md
        # body.  Their stdout is inlined into the skill message before the
        # agent reads it, so skills can inject dynamic context (dates, git
        # state, detected tool versions, …).  Off by default because any
        # content from the skill author runs on the host without approval;
        # only enable for skill sources you trust.
        "inline_shell": False,
        # Timeout (seconds) for each !`cmd` snippet when inline_shell is on.
        "inline_shell_timeout": 10,
        # Run the keyword/pattern security scanner on skills the agent
        # writes via skill_manage (create/edit/patch).  Off by default
        # because the agent can already execute the same code paths via
        # terminal() with no gate, so the scan adds friction (blocks
        # skills that mention risky keywords in prose) without meaningful
        # security.  Turn on if you want the belt-and-suspenders — a
        # dangerous verdict will then surface as a tool error to the
        # agent, which can retry with the flagged content removed.
        # External hub installs (trusted/community sources) are always
        # scanned regardless of this setting.
        "guard_agent_created": False,
    },

    # Curator — background skill maintenance.
    #
    # Periodically reviews AGENT-CREATED skills (never bundled or
    # hub-installed) and keeps the collection tidy: marks long-unused skills
    # as stale, archives genuinely obsolete ones (archive only, never
    # deletes), and spawns a forked aux-model agent to consolidate overlaps
    # and patch drift. Runs inactivity-triggered from session start — no
    # cron daemon.
    #
    # See `hermes curator status` for the last run summary.
    "curator": {
        "enabled": True,
        # How long to wait between curator runs (hours).  Default: 7 days.
        "interval_hours": 24 * 7,
        # Only run when the agent has been idle at least this long (hours).
        "min_idle_hours": 2,
        # Mark a skill as "stale" after this many days without use.
        "stale_after_days": 30,
        # Archive a skill (move to skills/.archive/) after this many days
        # without use. Archived skills are recoverable — no auto-deletion.
        "archive_after_days": 90,
    },

    # Honcho AI-native memory -- reads ~/.honcho/config.json as single source of truth.
    # This section is only needed for hermes-specific overrides; everything else
    # (apiKey, workspace, peerName, sessions, enabled) comes from the global config.
    "honcho": {},

    # IANA timezone (e.g. "Asia/Kolkata", "America/New_York").
    # Empty string means use server-local time.
    "timezone": "",

    # Discord platform settings (gateway mode)
    "discord": {
        "require_mention": True,       # Require @mention to respond in server channels
        "free_response_channels": "",  # Comma-separated channel IDs where bot responds without mention
        "allowed_channels": "",        # If set, bot ONLY responds in these channel IDs (whitelist)
        "auto_thread": True,           # Auto-create threads on @mention in channels (like Slack)
        "reactions": True,             # Add 👀/✅/❌ reactions to messages during processing
        "channel_prompts": {},         # Per-channel ephemeral system prompts (forum parents apply to child threads)
        # discord / discord_admin tools: restrict which actions the agent may call.
        # Default (empty) = all actions allowed (subject to bot privileged intents).
        # Accepts comma-separated string ("list_guilds,list_channels,fetch_messages")
        # or YAML list. Unknown names are dropped with a warning at load time.
        # Actions: list_guilds, server_info, list_channels, channel_info,
        # list_roles, member_info, search_members, fetch_messages, list_pins,
        # pin_message, unpin_message, create_thread, add_role, remove_role.
        "server_actions": "",
    },

    # WhatsApp platform settings (gateway mode)
    "whatsapp": {
        # Reply prefix prepended to every outgoing WhatsApp message.
        # Default (None) uses the built-in "⚕ *Hermes Agent*" header.
        # Set to "" (empty string) to disable the header entirely.
        # Supports \n for newlines, e.g. "🤖 *My Bot*\n──────\n"
    },

    # Telegram platform settings (gateway mode)
    "telegram": {
        "reactions": False,            # Add 👀/✅/❌ reactions to messages during processing
        "channel_prompts": {},         # Per-chat/topic ephemeral system prompts (topics inherit from parent group)
    },

    # Slack platform settings (gateway mode)
    "slack": {
        "channel_prompts": {},         # Per-channel ephemeral system prompts
    },

    # Mattermost platform settings (gateway mode)
    "mattermost": {
        "channel_prompts": {},         # Per-channel ephemeral system prompts
    },

    # Approval mode for dangerous commands:
    #   manual — always prompt the user (default)
    #   smart  — use auxiliary LLM to auto-approve low-risk commands, prompt for high-risk
    #   off    — skip all approval prompts (equivalent to --yolo)
    #
    # cron_mode — what to do when a cron job hits a dangerous command:
    #   deny    — block the command and let the agent find another way (default, safe)
    #   approve — auto-approve all dangerous commands in cron jobs
    "approvals": {
        "mode": "manual",
        "timeout": 60,
        "cron_mode": "deny",
        # When true, /reload-mcp asks the user to confirm before rebuilding
        # the MCP tool set for the active session.  Reloading invalidates
        # the provider prompt cache (tool schemas are baked into the system
        # prompt), so the next message re-sends full input tokens — this can
        # be expensive on long-context or high-reasoning models.  Users click
        # "Always Approve" to silence the prompt permanently; that flips
        # this key to false.
        "mcp_reload_confirm": True,
    },

    # Permanently allowed dangerous command patterns (added via "always" approval)
    "command_allowlist": [],
    # User-defined quick commands that bypass the agent loop (type: exec only)
    "quick_commands": {},

    # Shell-script hooks — declarative bridge that invokes shell scripts
    # on plugin-hook events (pre_tool_call, post_tool_call, pre_llm_call,
    # subagent_stop, etc.).  Each entry maps an event name to a list of
    # {matcher, command, timeout} dicts.  First registration of a new
    # command prompts the user for consent; subsequent runs reuse the
    # stored approval from ~/.hermes/shell-hooks-allowlist.json.
    # See `website/docs/user-guide/features/hooks.md` for schema + examples.
    "hooks": {},

    # Auto-accept shell-hook registrations without a TTY prompt.  Also
    # toggleable per-invocation via --accept-hooks or HERMES_ACCEPT_HOOKS=1.
    # Gateway / cron / non-interactive runs need this (or one of the other
    # channels) to pick up newly-added hooks.
    "hooks_auto_accept": False,
    # Custom personalities — add your own entries here
    # Supports string format: {"name": "system prompt"}
    # Or dict format: {"name": {"description": "...", "system_prompt": "...", "tone": "...", "style": "..."}}
    "personalities": {},

    # Pre-exec security scanning via tirith
    "security": {
        "allow_private_urls": False,  # Allow requests to private/internal IPs (for OpenWrt, proxies, VPNs)
        "redact_secrets": False,
        "tirith_enabled": True,
        "tirith_path": "tirith",
        "tirith_timeout": 5,
        "tirith_fail_open": True,
        "website_blocklist": {
            "enabled": False,
            "domains": [],
            "shared_files": [],
        },
    },

    "cron": {
        # Wrap delivered cron responses with a header (task name) and footer
        # ("The agent cannot see this message").  Set to false for clean output.
        "wrap_response": True,
        # Maximum number of due jobs to run in parallel per tick.
        # null/0 = unbounded (limited only by thread count).
        # 1 = serial (pre-v0.9 behaviour).
        # Also overridable via HERMES_CRON_MAX_PARALLEL env var.
        "max_parallel_jobs": None,
    },

    # Kanban multi-agent coordination — controls the dispatcher loop that
    # spawns workers for ready tasks. The dispatcher ticks every N seconds
    # (default 60), reclaims stale claims, promotes dependency-satisfied
    # todos to ready, and fires `hermes -p <assignee> chat -q ...` for
    # each claimable ready task. One dispatcher per profile is sufficient;
    # running more than one on the same kanban.db will race for claims.
    "kanban": {
        # Run the dispatcher inside the gateway process. On by default —
        # the cost is ~300µs every `dispatch_interval_seconds` when idle,
        # and gateway is the supervisor users already have. Set to false
        # only if you run the dispatcher as a separate systemd unit or
        # don't want the gateway to spawn workers.
        "dispatch_in_gateway": True,
        # Seconds between dispatcher ticks (idle or not). Lower = snappier
        # pickup of newly-ready tasks; higher = less SQL pressure.
        "dispatch_interval_seconds": 60,
    },

    # execute_code settings — controls the tool used for programmatic tool calls.
    "code_execution": {
        # Execution mode:
        #   project (default) — scripts run in the session's working directory
        #     with the active virtualenv/conda env's python, so project deps
        #     (pandas, torch, project packages) and relative paths resolve.
        #   strict            — scripts run in an isolated temp directory with
        #     hermes-agent's own python (sys.executable). Maximum isolation
        #     and reproducibility; project deps and relative paths won't work.
        # Env scrubbing (strips *_API_KEY, *_TOKEN, *_SECRET, ...) and the
        # tool whitelist apply identically in both modes.
        "mode": "project",
    },

    # Logging — controls file logging to ~/.hermes/logs/.
    # agent.log captures INFO+ (all agent activity); errors.log captures WARNING+.
    "logging": {
        "level": "INFO",       # Minimum level for agent.log: DEBUG, INFO, WARNING
        "max_size_mb": 5,      # Max size per log file before rotation
        "backup_count": 3,     # Number of rotated backup files to keep
    },

    # Remotely-hosted model catalog manifest.  When enabled, the CLI fetches
    # curated model lists for OpenRouter and Nous Portal from this URL,
    # falling back to the in-repo snapshot on network failure.  Lets us
    # update model picker lists without shipping a hermes-agent release.
    # The default URL is served by the docs site GitHub Pages deploy.
    "model_catalog": {
        "enabled": True,
        "url": "https://hermes-agent.nousresearch.com/docs/api/model-catalog.json",
        # Disk cache TTL in hours.  Beyond this, the CLI refetches on the
        # next /model or `hermes model` invocation; network failures
        # silently fall back to the stale cache.
        "ttl_hours": 24,
        # Optional per-provider override URLs for third parties that want
        # to self-host their own curation list using the same schema.
        # Example:
        #   providers:
        #     openrouter:
        #       url: https://example.com/my-curation.json
        "providers": {},
    },

    # Network settings — workarounds for connectivity issues.
    "network": {
        # Force IPv4 connections.  On servers with broken or unreachable IPv6,
        # Python tries AAAA records first and hangs for the full TCP timeout
        # before falling back to IPv4.  Set to true to skip IPv6 entirely.
        "force_ipv4": False,
    },

    # Session storage — controls automatic cleanup of ~/.hermes/state.db.
    # state.db accumulates every session, message, tool call, and FTS5 index
    # entry forever.  Without auto-pruning, a heavy user (gateway + cron)
    # reports 384MB+ databases with 68K+ messages, which slows down FTS5
    # inserts, /resume listing, and insights queries.
    "sessions": {
        # When true, prune ended sessions older than retention_days once
        # per (roughly) min_interval_hours at CLI/gateway/cron startup.
        # Only touches ended sessions — active sessions are always preserved.
        # Default false: session history is valuable for search recall, and
        # silently deleting it could surprise users.  Opt in explicitly.
        "auto_prune": False,
        # How many days of ended-session history to keep.  Matches the
        # default of ``hermes sessions prune``.
        "retention_days": 90,
        # VACUUM after a prune that actually deleted rows.  SQLite does not
        # reclaim disk space on DELETE — freed pages are just reused on
        # subsequent INSERTs — so without VACUUM the file stays bloated
        # even after pruning.  VACUUM blocks writes for a few seconds per
        # 100MB, so it only runs at startup, and only when prune deleted
        # ≥1 session.
        "vacuum_after_prune": True,
        # Minimum hours between auto-maintenance runs (avoids repeating
        # the sweep on every CLI invocation).  Tracked via state_meta in
        # state.db itself, so it's shared across all processes.
        "min_interval_hours": 24,
    },

    # Contextual first-touch onboarding hints (see agent/onboarding.py).
    # Each hint is shown once per install and then latched here so it
    # never fires again.  Users can wipe the section to re-see all hints.
    "onboarding": {
        "seen": {},
    },

    # ``hermes update`` behaviour.
    "updates": {
        # Run a full ``hermes backup``-style zip of HERMES_HOME before every
        # ``hermes update``.  Backups land in ``<HERMES_HOME>/backups/`` and
        # can be restored with ``hermes import <path>``.  Off by default —
        # on large HERMES_HOME directories the zip can add minutes to every
        # update.  Set to true to re-enable, or pass ``--backup`` to opt in
        # for a single update run.
        "pre_update_backup": False,
        # How many pre-update backup zips to retain.  Older ones are pruned
        # automatically after each successful backup.
        "backup_keep": 5,
    },

    # Config schema version - bump this when adding new required fields
    "_config_version": 23,
}

# =============================================================================
# Config Migration System
# =============================================================================

# Track which env vars were introduced in each config version.
# Migration only mentions vars new since the user's previous version.
ENV_VARS_BY_VERSION: Dict[int, List[str]] = {
    3: ["FIRECRAWL_API_KEY", "BROWSERBASE_API_KEY", "BROWSERBASE_PROJECT_ID", "FAL_KEY"],
    4: ["VOICE_TOOLS_OPENAI_KEY", "ELEVENLABS_API_KEY"],
    5: ["WHATSAPP_ENABLED", "WHATSAPP_MODE", "WHATSAPP_ALLOWED_USERS",
        "SLACK_BOT_TOKEN", "SLACK_APP_TOKEN", "SLACK_ALLOWED_USERS"],
    10: ["TAVILY_API_KEY"],
    11: ["TERMINAL_MODAL_MODE"],
}

# Required environment variables with metadata for migration prompts.
# LLM provider is required but handled in the setup wizard's provider
# selection step (Nous Portal / OpenRouter / Custom endpoint), so this
# dict is intentionally empty — no single env var is universally required.
REQUIRED_ENV_VARS = {}

# Optional environment variables that enhance functionality
OPTIONAL_ENV_VARS = {
    # ── Provider (handled in provider selection, not shown in checklists) ──
    "NOUS_BASE_URL": {
        "description": "Nous Portal base URL override",
        "prompt": "Nous Portal base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "OPENROUTER_API_KEY": {
        "description": "OpenRouter API key (for vision, web scraping helpers, and MoA)",
        "prompt": "OpenRouter API key",
        "url": "https://openrouter.ai/keys",
        "password": True,
        "tools": ["vision_analyze", "mixture_of_agents"],
        "category": "provider",
        "advanced": True,
    },
    "GOOGLE_API_KEY": {
        "description": "Google AI Studio API key (also recognized as GEMINI_API_KEY)",
        "prompt": "Google AI Studio API key",
        "url": "https://aistudio.google.com/app/apikey",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "GEMINI_API_KEY": {
        "description": "Google AI Studio API key (alias for GOOGLE_API_KEY)",
        "prompt": "Gemini API key",
        "url": "https://aistudio.google.com/app/apikey",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "GEMINI_BASE_URL": {
        "description": "Google AI Studio base URL override",
        "prompt": "Gemini base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "XAI_API_KEY": {
        "description": "xAI API key",
        "prompt": "xAI API key",
        "url": "https://console.x.ai/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "XAI_BASE_URL": {
        "description": "xAI base URL override",
        "prompt": "xAI base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "NVIDIA_API_KEY": {
        "description": "NVIDIA NIM API key (build.nvidia.com or local NIM endpoint)",
        "prompt": "NVIDIA NIM API key",
        "url": "https://build.nvidia.com/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "NVIDIA_BASE_URL": {
        "description": "NVIDIA NIM base URL override (e.g. http://localhost:8000/v1 for local NIM)",
        "prompt": "NVIDIA NIM base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "LM_API_KEY": {
        "description": "LM Studio bearer token for auth-enabled local servers",
        "prompt": "LM Studio API key / bearer token",
        "url": None,
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "LM_BASE_URL": {
        "description": "LM Studio base URL override",
        "prompt": "LM Studio base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "GLM_API_KEY": {
        "description": "Z.AI / GLM API key (also recognized as ZAI_API_KEY / Z_AI_API_KEY)",
        "prompt": "Z.AI / GLM API key",
        "url": "https://z.ai/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "ZAI_API_KEY": {
        "description": "Z.AI API key (alias for GLM_API_KEY)",
        "prompt": "Z.AI API key",
        "url": "https://z.ai/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "Z_AI_API_KEY": {
        "description": "Z.AI API key (alias for GLM_API_KEY)",
        "prompt": "Z.AI API key",
        "url": "https://z.ai/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "GLM_BASE_URL": {
        "description": "Z.AI / GLM base URL override",
        "prompt": "Z.AI / GLM base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "KIMI_API_KEY": {
        "description": "Kimi / Moonshot API key",
        "prompt": "Kimi API key",
        "url": "https://platform.moonshot.cn/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "KIMI_BASE_URL": {
        "description": "Kimi / Moonshot base URL override",
        "prompt": "Kimi base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "KIMI_CN_API_KEY": {
        "description": "Kimi / Moonshot China API key",
        "prompt": "Kimi (China) API key",
        "url": "https://platform.moonshot.cn/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "STEPFUN_API_KEY": {
        "description": "StepFun Step Plan API key",
        "prompt": "StepFun Step Plan API key",
        "url": "https://platform.stepfun.com/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "STEPFUN_BASE_URL": {
        "description": "StepFun Step Plan base URL override",
        "prompt": "StepFun Step Plan base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "ARCEEAI_API_KEY": {
        "description": "Arcee AI API key",
        "prompt": "Arcee AI API key",
        "url": "https://chat.arcee.ai/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "ARCEE_BASE_URL": {
        "description": "Arcee AI base URL override",
        "prompt": "Arcee base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "GMI_API_KEY": {
        "description": "GMI Cloud API key",
        "prompt": "GMI Cloud API key",
        "url": "https://www.gmicloud.ai/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "GMI_BASE_URL": {
        "description": "GMI Cloud base URL override",
        "prompt": "GMI Cloud base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "MINIMAX_API_KEY": {
        "description": "MiniMax API key (international)",
        "prompt": "MiniMax API key",
        "url": "https://www.minimax.io/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "MINIMAX_BASE_URL": {
        "description": "MiniMax base URL override",
        "prompt": "MiniMax base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "MINIMAX_CN_API_KEY": {
        "description": "MiniMax API key (China endpoint)",
        "prompt": "MiniMax (China) API key",
        "url": "https://www.minimaxi.com/",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "MINIMAX_CN_BASE_URL": {
        "description": "MiniMax (China) base URL override",
        "prompt": "MiniMax (China) base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "DEEPSEEK_API_KEY": {
        "description": "DeepSeek API key for direct DeepSeek access",
        "prompt": "DeepSeek API Key",
        "url": "https://platform.deepseek.com/api_keys",
        "password": True,
        "category": "provider",
    },
    "DEEPSEEK_BASE_URL": {
        "description": "Custom DeepSeek API base URL (advanced)",
        "prompt": "DeepSeek Base URL",
        "url": "",
        "password": False,
        "category": "provider",
    },
    "DASHSCOPE_API_KEY": {
        "description": "Alibaba Cloud DashScope API key (Qwen + multi-provider models)",
        "prompt": "DashScope API Key",
        "url": "https://modelstudio.console.alibabacloud.com/",
        "password": True,
        "category": "provider",
    },
    "DASHSCOPE_BASE_URL": {
        "description": "Custom DashScope base URL (default: coding-intl OpenAI-compat endpoint)",
        "prompt": "DashScope Base URL",
        "url": "",
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "HERMES_QWEN_BASE_URL": {
        "description": "Qwen Portal base URL override (default: https://portal.qwen.ai/v1)",
        "prompt": "Qwen Portal base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "HERMES_GEMINI_CLIENT_ID": {
        "description": "Google OAuth client ID for google-gemini-cli (optional; defaults to Google's public gemini-cli client)",
        "prompt": "Google OAuth client ID (optional — leave empty to use the public default)",
        "url": "https://console.cloud.google.com/apis/credentials",
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "HERMES_GEMINI_CLIENT_SECRET": {
        "description": "Google OAuth client secret for google-gemini-cli (optional)",
        "prompt": "Google OAuth client secret (optional)",
        "url": "https://console.cloud.google.com/apis/credentials",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "HERMES_GEMINI_PROJECT_ID": {
        "description": "GCP project ID for paid Gemini tiers (free tier auto-provisions)",
        "prompt": "GCP project ID for Gemini OAuth (leave empty for free tier)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "OPENCODE_ZEN_API_KEY": {
        "description": "OpenCode Zen API key (pay-as-you-go access to curated models)",
        "prompt": "OpenCode Zen API key",
        "url": "https://opencode.ai/auth",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "OPENCODE_ZEN_BASE_URL": {
        "description": "OpenCode Zen base URL override",
        "prompt": "OpenCode Zen base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "OPENCODE_GO_API_KEY": {
        "description": "OpenCode Go API key ($10/month subscription for open models)",
        "prompt": "OpenCode Go API key",
        "url": "https://opencode.ai/auth",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "OPENCODE_GO_BASE_URL": {
        "description": "OpenCode Go base URL override",
        "prompt": "OpenCode Go base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "HF_TOKEN": {
        "description": "Hugging Face token for Inference Providers (20+ open models via router.huggingface.co)",
        "prompt": "Hugging Face Token",
        "url": "https://huggingface.co/settings/tokens",
        "password": True,
        "category": "provider",
    },
    "HF_BASE_URL": {
        "description": "Hugging Face Inference Providers base URL override",
        "prompt": "HF base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "OLLAMA_API_KEY": {
        "description": "Ollama Cloud API key (ollama.com — cloud-hosted open models)",
        "prompt": "Ollama Cloud API key",
        "url": "https://ollama.com/settings",
        "password": True,
        "category": "provider",
        "advanced": True,
    },
    "OLLAMA_BASE_URL": {
        "description": "Ollama Cloud base URL override (default: https://ollama.com/v1)",
        "prompt": "Ollama base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "XIAOMI_API_KEY": {
        "description": "Xiaomi MiMo API key for MiMo models (mimo-v2.5-pro, mimo-v2.5, mimo-v2-pro, mimo-v2-omni, mimo-v2-flash)",
        "prompt": "Xiaomi MiMo API Key",
        "url": "https://platform.xiaomimimo.com",
        "password": True,
        "category": "provider",
    },
    "XIAOMI_BASE_URL": {
        "description": "Xiaomi MiMo base URL override (default: https://api.xiaomimimo.com/v1)",
        "prompt": "Xiaomi base URL (leave empty for default)",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "AWS_REGION": {
        "description": "AWS region for Bedrock API calls (e.g. us-east-1, eu-central-1)",
        "prompt": "AWS Region",
        "url": "https://docs.aws.amazon.com/bedrock/latest/userguide/bedrock-regions.html",
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "AWS_PROFILE": {
        "description": "AWS named profile for Bedrock authentication (from ~/.aws/credentials)",
        "prompt": "AWS Profile",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },
    "AZURE_FOUNDRY_API_KEY": {
        "description": "Azure Foundry API key for custom Azure endpoints",
        "prompt": "Azure Foundry API Key",
        "url": "https://ai.azure.com/",
        "password": True,
        "category": "provider",
    },
    "AZURE_FOUNDRY_BASE_URL": {
        "description": "Azure Foundry base URL (set via 'hermes model' for endpoint-specific config)",
        "prompt": "Azure Foundry base URL",
        "url": None,
        "password": False,
        "category": "provider",
        "advanced": True,
    },

    # ── Tool API keys ──
    "EXA_API_KEY": {
        "description": "Exa API key for AI-native web search and contents",
        "prompt": "Exa API key",
        "url": "https://exa.ai/",
        "tools": ["web_search", "web_extract"],
        "password": True,
        "category": "tool",
    },
    "PARALLEL_API_KEY": {
        "description": "Parallel API key for AI-native web search and extract",
        "prompt": "Parallel API key",
        "url": "https://parallel.ai/",
        "tools": ["web_search", "web_extract"],
        "password": True,
        "category": "tool",
    },
    "FIRECRAWL_API_KEY": {
        "description": "Firecrawl API key for web search and scraping",
        "prompt": "Firecrawl API key",
        "url": "https://firecrawl.dev/",
        "tools": ["web_search", "web_extract"],
        "password": True,
        "category": "tool",
    },
    "FIRECRAWL_API_URL": {
        "description": "Firecrawl API URL for self-hosted instances (optional)",
        "prompt": "Firecrawl API URL (leave empty for cloud)",
        "url": None,
        "password": False,
        "category": "tool",
        "advanced": True,
    },
    "FIRECRAWL_GATEWAY_URL": {
        "description": "Exact Firecrawl tool-gateway origin override for Nous Subscribers only (optional)",
        "prompt": "Firecrawl gateway URL (leave empty to derive from domain)",
        "url": None,
        "password": False,
        "category": "tool",
        "advanced": True,
    },
    "TOOL_GATEWAY_DOMAIN": {
        "description": "Shared tool-gateway domain suffix for Nous Subscribers only, used to derive vendor hosts, e.g. nousresearch.com -> firecrawl-gateway.nousresearch.com",
        "prompt": "Tool-gateway domain suffix",
        "url": None,
        "password": False,
        "category": "tool",
        "advanced": True,
    },
    "TOOL_GATEWAY_SCHEME": {
        "description": "Shared tool-gateway URL scheme for Nous Subscribers only, used to derive vendor hosts (`https` by default, set `http` for local gateway testing)",
        "prompt": "Tool-gateway URL scheme",
        "url": None,
        "password": False,
        "category": "tool",
        "advanced": True,
    },
    "TOOL_GATEWAY_USER_TOKEN": {
        "description": "Explicit Nous Subscriber access token for tool-gateway requests (optional; otherwise read from the Hermes auth store)",
        "prompt": "Tool-gateway user token",
        "url": None,
        "password": True,
        "category": "tool",
        "advanced": True,
    },
    "TAVILY_API_KEY": {
        "description": "Tavily API key for AI-native web search, extract, and crawl",
        "prompt": "Tavily API key",
        "url": "https://app.tavily.com/home",
        "tools": ["web_search", "web_extract", "web_crawl"],
        "password": True,
        "category": "tool",
    },
    "BROWSERBASE_API_KEY": {
        "description": "Browserbase API key for cloud browser (optional — local browser works without this)",
        "prompt": "Browserbase API key",
        "url": "https://browserbase.com/",
        "tools": ["browser_navigate", "browser_click"],
        "password": True,
        "category": "tool",
    },
    "BROWSERBASE_PROJECT_ID": {
        "description": "Browserbase project ID (optional — only needed for cloud browser)",
        "prompt": "Browserbase project ID",
        "url": "https://browserbase.com/",
        "tools": ["browser_navigate", "browser_click"],
        "password": False,
        "category": "tool",
    },
    "BROWSER_USE_API_KEY": {
        "description": "Browser Use API key for cloud browser (optional — local browser works without this)",
        "prompt": "Browser Use API key",
        "url": "https://browser-use.com/",
        "tools": ["browser_navigate", "browser_click"],
        "password": True,
        "category": "tool",
    },
    "FIRECRAWL_BROWSER_TTL": {
        "description": "Firecrawl browser session TTL in seconds (optional, default 300)",
        "prompt": "Browser session TTL (seconds)",
        "tools": ["browser_navigate", "browser_click"],
        "password": False,
        "category": "tool",
    },
    "CAMOFOX_URL": {
        "description": "Camofox browser server URL for local anti-detection browsing (e.g. http://localhost:9377)",
        "prompt": "Camofox server URL",
        "url": "https://github.com/jo-inc/camofox-browser",
        "tools": ["browser_navigate", "browser_click"],
        "password": False,
        "category": "tool",
    },
    "FAL_KEY": {
        "description": "FAL API key for image generation",
        "prompt": "FAL API key",
        "url": "https://fal.ai/",
        "tools": ["image_generate"],
        "password": True,
        "category": "tool",
    },
    "TINKER_API_KEY": {
        "description": "Tinker API key for RL training",
        "prompt": "Tinker API key",
        "url": "https://tinker-console.thinkingmachines.ai/keys",
        "tools": ["rl_start_training", "rl_check_status", "rl_stop_training"],
        "password": True,
        "category": "tool",
    },
    "WANDB_API_KEY": {
        "description": "Weights & Biases API key for experiment tracking",
        "prompt": "WandB API key",
        "url": "https://wandb.ai/authorize",
        "tools": ["rl_get_results", "rl_check_status"],
        "password": True,
        "category": "tool",
    },
    "VOICE_TOOLS_OPENAI_KEY": {
        "description": "OpenAI API key for voice transcription (Whisper) and OpenAI TTS",
        "prompt": "OpenAI API Key (for Whisper STT + TTS)",
        "url": "https://platform.openai.com/api-keys",
        "tools": ["voice_transcription", "openai_tts"],
        "password": True,
        "category": "tool",
    },
    "ELEVENLABS_API_KEY": {
        "description": "ElevenLabs API key for premium text-to-speech voices",
        "prompt": "ElevenLabs API key",
        "url": "https://elevenlabs.io/",
        "password": True,
        "category": "tool",
    },
    "MISTRAL_API_KEY": {
        "description": "Mistral API key for Voxtral TTS and transcription (STT)",
        "prompt": "Mistral API key",
        "url": "https://console.mistral.ai/",
        "password": True,
        "category": "tool",
    },
    "GITHUB_TOKEN": {
        "description": "GitHub token for Skills Hub (higher API rate limits, skill publish)",
        "prompt": "GitHub Token",
        "url": "https://github.com/settings/tokens",
        "password": True,
        "category": "tool",
    },

    # ── Bundled skills (opt-in: only needed if the user uses that skill) ──
    # These use category="skill" (distinct from "tool") so the sandbox
    # env blocklist in tools/environments/local.py does NOT rewrite them —
    # skills legitimately need these passed through to curl via
    # tools/env_passthrough.py when the user's skill calls out.
    "NOTION_API_KEY": {
        "description": "Notion integration token (used by the `notion` skill)",
        "prompt": "Notion API key",
        "url": "https://www.notion.so/my-integrations",
        "password": True,
        "category": "skill",
        "advanced": True,
    },
    "LINEAR_API_KEY": {
        "description": "Linear personal API key (used by the `linear` skill)",
        "prompt": "Linear API key",
        "url": "https://linear.app/settings/api",
        "password": True,
        "category": "skill",
        "advanced": True,
    },
    "AIRTABLE_API_KEY": {
        "description": "Airtable personal access token (used by the `airtable` skill)",
        "prompt": "Airtable API key",
        "url": "https://airtable.com/create/tokens",
        "password": True,
        "category": "skill",
        "advanced": True,
    },
    "TENOR_API_KEY": {
        "description": "Tenor API key for GIF search (used by the `gif-search` skill)",
        "prompt": "Tenor API key",
        "url": "https://developers.google.com/tenor/guides/quickstart",
        "password": True,
        "category": "skill",
        "advanced": True,
    },

    # ── Honcho ──
    "HONCHO_API_KEY": {
        "description": "Honcho API key for AI-native persistent memory",
        "prompt": "Honcho API key",
        "url": "https://app.honcho.dev",
        "tools": ["honcho_context"],
        "password": True,
        "category": "tool",
    },
    "HONCHO_BASE_URL": {
        "description": "Base URL for self-hosted Honcho instances (no API key needed)",
        "prompt": "Honcho base URL (e.g. http://localhost:8000)",
        "category": "tool",
    },

    # ── Langfuse observability ──
    "HERMES_LANGFUSE_PUBLIC_KEY": {
        "description": "Langfuse project public key (pk-lf-...)",
        "prompt": "Langfuse public key",
        "url": "https://cloud.langfuse.com",
        "password": False,
        "category": "tool",
    },
    "HERMES_LANGFUSE_SECRET_KEY": {
        "description": "Langfuse project secret key (sk-lf-...)",
        "prompt": "Langfuse secret key",
        "url": "https://cloud.langfuse.com",
        "password": True,
        "category": "tool",
    },
    "HERMES_LANGFUSE_BASE_URL": {
        "description": "Langfuse server URL (default: https://cloud.langfuse.com)",
        "prompt": "Langfuse server URL (leave empty for cloud.langfuse.com)",
        "url": None,
        "password": False,
        "category": "tool",
        "advanced": True,
    },

    # ── Messaging platforms ──
    "TELEGRAM_BOT_TOKEN": {
        "description": "Telegram bot token from @BotFather",
        "prompt": "Telegram bot token",
        "url": "https://t.me/BotFather",
        "password": True,
        "category": "messaging",
    },
    "TELEGRAM_ALLOWED_USERS": {
        "description": "Comma-separated Telegram user IDs allowed to use the bot (get ID from @userinfobot)",
        "prompt": "Allowed Telegram user IDs (comma-separated)",
        "url": "https://t.me/userinfobot",
        "password": False,
        "category": "messaging",
    },
    "TELEGRAM_PROXY": {
        "description": "Proxy URL for Telegram connections (overrides HTTPS_PROXY). Supports http://, https://, socks5://",
        "prompt": "Telegram proxy URL (optional)",
        "password": False,
        "category": "messaging",
    },
    "DISCORD_BOT_TOKEN": {
        "description": "Discord bot token from Developer Portal",
        "prompt": "Discord bot token",
        "url": "https://discord.com/developers/applications",
        "password": True,
        "category": "messaging",
    },
    "DISCORD_ALLOWED_USERS": {
        "description": "Comma-separated Discord user IDs allowed to use the bot",
        "prompt": "Allowed Discord user IDs (comma-separated)",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "DISCORD_REPLY_TO_MODE": {
        "description": "Discord reply threading mode: 'off' (no reply references), 'first' (reply on first message only, default), 'all' (reply on every chunk)",
        "prompt": "Discord reply mode (off/first/all)",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "SLACK_BOT_TOKEN": {
        "description": "Slack bot token (xoxb-). Get from OAuth & Permissions after installing your app. "
                       "Required scopes: chat:write, app_mentions:read, channels:history, groups:history, "
                       "im:history, im:read, im:write, users:read, files:read, files:write",
        "prompt": "Slack Bot Token (xoxb-...)",
        "url": "https://api.slack.com/apps",
        "password": True,
        "category": "messaging",
    },
    "SLACK_APP_TOKEN": {
        "description": "Slack app-level token (xapp-) for Socket Mode. Get from Basic Information → "
                       "App-Level Tokens. Also ensure Event Subscriptions include: message.im, "
                       "message.channels, message.groups, app_mention",
        "prompt": "Slack App Token (xapp-...)",
        "url": "https://api.slack.com/apps",
        "password": True,
        "category": "messaging",
    },
    "MATTERMOST_URL": {
        "description": "Mattermost server URL (e.g. https://mm.example.com)",
        "prompt": "Mattermost server URL",
        "url": "https://mattermost.com/deploy/",
        "password": False,
        "category": "messaging",
    },
    "MATTERMOST_TOKEN": {
        "description": "Mattermost bot token or personal access token",
        "prompt": "Mattermost bot token",
        "url": None,
        "password": True,
        "category": "messaging",
    },
    "MATTERMOST_ALLOWED_USERS": {
        "description": "Comma-separated Mattermost user IDs allowed to use the bot",
        "prompt": "Allowed Mattermost user IDs (comma-separated)",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "MATTERMOST_REQUIRE_MENTION": {
        "description": "Require @mention in Mattermost channels (default: true). Set to false to respond to all messages.",
        "prompt": "Require @mention in channels",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "MATTERMOST_FREE_RESPONSE_CHANNELS": {
        "description": "Comma-separated Mattermost channel IDs where bot responds without @mention",
        "prompt": "Free-response channel IDs (comma-separated)",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "MATRIX_HOMESERVER": {
        "description": "Matrix homeserver URL (e.g. https://matrix.example.org)",
        "prompt": "Matrix homeserver URL",
        "url": "https://matrix.org/ecosystem/servers/",
        "password": False,
        "category": "messaging",
    },
    "MATRIX_ACCESS_TOKEN": {
        "description": "Matrix access token (preferred over password login)",
        "prompt": "Matrix access token",
        "url": None,
        "password": True,
        "category": "messaging",
    },
    "MATRIX_USER_ID": {
        "description": "Matrix user ID (e.g. @hermes:example.org)",
        "prompt": "Matrix user ID (@user:server)",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "MATRIX_ALLOWED_USERS": {
        "description": "Comma-separated Matrix user IDs allowed to use the bot (@user:server format)",
        "prompt": "Allowed Matrix user IDs (comma-separated)",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "MATRIX_REQUIRE_MENTION": {
        "description": "Require @mention in Matrix rooms (default: true). Set to false to respond to all messages.",
        "prompt": "Require @mention in rooms (true/false)",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "MATRIX_FREE_RESPONSE_ROOMS": {
        "description": "Comma-separated Matrix room IDs where bot responds without @mention",
        "prompt": "Free-response room IDs (comma-separated)",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "MATRIX_AUTO_THREAD": {
        "description": "Auto-create threads for messages in Matrix rooms (default: true)",
        "prompt": "Auto-create threads in rooms (true/false)",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "MATRIX_DM_AUTO_THREAD": {
        "description": "Auto-create threads for DM messages in Matrix (default: false)",
        "prompt": "Auto-create threads in DMs (true/false)",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "MATRIX_DEVICE_ID": {
        "description": "Stable Matrix device ID for E2EE persistence across restarts (e.g. HERMES_BOT)",
        "prompt": "Matrix device ID (stable across restarts)",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "MATRIX_RECOVERY_KEY": {
        "description": "Matrix recovery key for cross-signing verification after device key rotation (from Element: Settings → Security → Recovery Key)",
        "prompt": "Matrix recovery key",
        "url": None,
        "password": True,
        "category": "messaging",
        "advanced": True,
    },
    "BLUEBUBBLES_SERVER_URL": {
        "description": "BlueBubbles server URL for iMessage integration (e.g. http://192.168.1.10:1234)",
        "prompt": "BlueBubbles server URL",
        "url": "https://bluebubbles.app/",
        "password": False,
        "category": "messaging",
    },
    "BLUEBUBBLES_PASSWORD": {
        "description": "BlueBubbles server password (from BlueBubbles Server → Settings → API)",
        "prompt": "BlueBubbles server password",
        "url": None,
        "password": True,
        "category": "messaging",
    },
    "BLUEBUBBLES_ALLOWED_USERS": {
        "description": "Comma-separated iMessage addresses (email or phone) allowed to use the bot",
        "prompt": "Allowed iMessage addresses (comma-separated)",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "BLUEBUBBLES_ALLOW_ALL_USERS": {
        "description": "Allow all BlueBubbles users without allowlist",
        "prompt": "Allow All BlueBubbles Users",
        "category": "messaging",
    },
    "QQ_APP_ID": {
        "description": "QQ Bot App ID from QQ Open Platform (q.qq.com)",
        "prompt": "QQ App ID",
        "url": "https://q.qq.com",
        "category": "messaging",
    },
    "QQ_CLIENT_SECRET": {
        "description": "QQ Bot Client Secret from QQ Open Platform",
        "prompt": "QQ Client Secret",
        "password": True,
        "category": "messaging",
    },
    "QQ_ALLOWED_USERS": {
        "description": "Comma-separated QQ user IDs allowed to use the bot",
        "prompt": "QQ Allowed Users",
        "category": "messaging",
    },
    "QQ_GROUP_ALLOWED_USERS": {
        "description": "Comma-separated QQ group IDs allowed to interact with the bot",
        "prompt": "QQ Group Allowed Users",
        "category": "messaging",
    },
    "QQ_ALLOW_ALL_USERS": {
        "description": "Allow all QQ users without an allowlist (true/false)",
        "prompt": "Allow All QQ Users",
        "category": "messaging",
    },
    "QQBOT_HOME_CHANNEL": {
        "description": "Default QQ channel/group for cron delivery and notifications",
        "prompt": "QQ Home Channel",
        "category": "messaging",
    },
    "QQBOT_HOME_CHANNEL_NAME": {
        "description": "Display name for the QQ home channel",
        "prompt": "QQ Home Channel Name",
        "category": "messaging",
    },
    "QQ_SANDBOX": {
        "description": "Enable QQ sandbox mode for development testing (true/false)",
        "prompt": "QQ Sandbox Mode",
        "category": "messaging",
    },
    "IRC_SERVER": {
        "description": "IRC server hostname (e.g. irc.libera.chat)",
        "prompt": "IRC server",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "IRC_CHANNEL": {
        "description": "IRC channel to join (e.g. #hermes)",
        "prompt": "IRC channel",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "IRC_NICKNAME": {
        "description": "Bot nickname on IRC (default: hermes-bot)",
        "prompt": "IRC nickname",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "IRC_SERVER_PASSWORD": {
        "description": "IRC server password (if required)",
        "prompt": "IRC server password",
        "url": None,
        "password": True,
        "category": "messaging",
        "advanced": True,
    },
    "IRC_NICKSERV_PASSWORD": {
        "description": "NickServ password for nick identification",
        "prompt": "NickServ password",
        "url": None,
        "password": True,
        "category": "messaging",
        "advanced": True,
    },
    "GATEWAY_ALLOW_ALL_USERS": {
        "description": "Allow all users to interact with messaging bots (true/false). Default: false.",
        "prompt": "Allow all users (true/false)",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "API_SERVER_ENABLED": {
        "description": "Enable the OpenAI-compatible API server (true/false). Allows frontends like Open WebUI, LobeChat, etc. to connect.",
        "prompt": "Enable API server (true/false)",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "API_SERVER_KEY": {
        "description": "Bearer token for API server authentication. Required for non-loopback binding; server refuses to start without it. On loopback (127.0.0.1), all requests are allowed if empty.",
        "prompt": "API server auth key (required for network access)",
        "url": None,
        "password": True,
        "category": "messaging",
        "advanced": True,
    },
    "API_SERVER_PORT": {
        "description": "Port for the API server (default: 8642).",
        "prompt": "API server port",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "API_SERVER_HOST": {
        "description": "Host/bind address for the API server (default: 127.0.0.1). Use 0.0.0.0 for network access — server refuses to start without API_SERVER_KEY.",
        "prompt": "API server host",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "API_SERVER_MODEL_NAME": {
        "description": "Model name advertised on /v1/models. Defaults to the profile name (or 'hermes-agent' for the default profile). Useful for multi-user setups with OpenWebUI.",
        "prompt": "API server model name",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "GATEWAY_PROXY_URL": {
        "description": "URL of a remote Hermes API server to forward messages to (proxy mode). When set, the gateway handles platform I/O only — all agent work is delegated to the remote server. Use for Docker E2EE containers that relay to a host agent. Also configurable via gateway.proxy_url in config.yaml.",
        "prompt": "Remote Hermes API server URL (e.g. http://192.168.1.100:8642)",
        "url": None,
        "password": False,
        "category": "messaging",
        "advanced": True,
    },
    "GATEWAY_PROXY_KEY": {
        "description": "Bearer token for authenticating with the remote Hermes API server (proxy mode). Must match the API_SERVER_KEY on the remote host.",
        "prompt": "Remote API server auth key",
        "url": None,
        "password": True,
        "category": "messaging",
        "advanced": True,
    },
    "WEBHOOK_ENABLED": {
        "description": "Enable the webhook platform adapter for receiving events from GitHub, GitLab, etc.",
        "prompt": "Enable webhooks (true/false)",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "WEBHOOK_PORT": {
        "description": "Port for the webhook HTTP server (default: 8644).",
        "prompt": "Webhook port",
        "url": None,
        "password": False,
        "category": "messaging",
    },
    "WEBHOOK_SECRET": {
        "description": "Global HMAC secret for webhook signature validation (overridable per route in config.yaml).",
        "prompt": "Webhook secret",
        "url": None,
        "password": True,
        "category": "messaging",
    },

    # ── Agent settings ──
    # NOTE: MESSAGING_CWD was removed here — use terminal.cwd in config.yaml
    # instead.  The gateway reads TERMINAL_CWD (bridged from terminal.cwd).
    "SUDO_PASSWORD": {
        "description": "Sudo password for terminal commands requiring root access; set to an explicit empty string to try empty without prompting",
        "prompt": "Sudo password",
        "url": None,
        "password": True,
        "category": "setting",
    },
    "HERMES_MAX_ITERATIONS": {
        "description": "Maximum tool-calling iterations per conversation (default: 90)",
        "prompt": "Max iterations",
        "url": None,
        "password": False,
        "category": "setting",
    },
    # HERMES_TOOL_PROGRESS and HERMES_TOOL_PROGRESS_MODE are deprecated —
    # now configured via display.tool_progress in config.yaml (off|new|all|verbose).
    # Gateway falls back to these env vars for backward compatibility.
    "HERMES_TOOL_PROGRESS": {
        "description": "(deprecated) Use display.tool_progress in config.yaml instead",
        "prompt": "Tool progress (deprecated — use config.yaml)",
        "url": None,
        "password": False,
        "category": "setting",
    },
    "HERMES_TOOL_PROGRESS_MODE": {
        "description": "(deprecated) Use display.tool_progress in config.yaml instead",
        "prompt": "Progress mode (deprecated — use config.yaml)",
        "url": None,
        "password": False,
        "category": "setting",
    },
    "HERMES_PREFILL_MESSAGES_FILE": {
        "description": "Path to JSON file with ephemeral prefill messages for few-shot priming",
        "prompt": "Prefill messages file path",
        "url": None,
        "password": False,
        "category": "setting",
    },
    "HERMES_EPHEMERAL_SYSTEM_PROMPT": {
        "description": "Ephemeral system prompt injected at API-call time (never persisted to sessions)",
        "prompt": "Ephemeral system prompt",
        "url": None,
        "password": False,
        "category": "setting",
    },
}

# Tool Gateway env vars are always visible — they're useful for
# self-hosted / custom gateway setups regardless of subscription state.


def get_missing_env_vars(required_only: bool = False) -> List[Dict[str, Any]]:
    """
    Check which environment variables are missing.
    
    Returns list of dicts with var info for missing variables.
    """
    missing = []
    
    # Check required vars
    for var_name, info in REQUIRED_ENV_VARS.items():
        if not get_env_value(var_name):
            missing.append({"name": var_name, **info, "is_required": True})
    
    # Check optional vars (if not required_only)
    if not required_only:
        for var_name, info in OPTIONAL_ENV_VARS.items():
            if not get_env_value(var_name):
                missing.append({"name": var_name, **info, "is_required": False})
    
    return missing


def _set_nested(config, dotted_key: str, value):
    """Set a value at an arbitrarily nested dotted key path.

    Supports both dict and list navigation:
      _set_nested(c, "a.b.c", 1)     → c["a"]["b"]["c"] = 1
      _set_nested(c, "a.0.b", 1)     → c["a"][0]["b"] = 1
      _set_nested(c, "providers.1", "x") → c["providers"][1] = "x"

    Intermediate dicts are created on demand.  List indices are parsed
    from numeric path segments; the referenced index must already exist
    (we do not grow lists — the user is navigating into structure they
    wrote themselves).  If a segment targets a non-container leaf
    (scalar), the leaf is replaced with a fresh dict so the write can
    proceed — this preserves the pre-existing behavior for bare scalar
    overrides (e.g. setting ``a.b.c`` where ``a.b`` was previously a
    string).

    Guards against #17876: before this fix the code unconditionally
    replaced any non-dict value (including lists) with ``{}``, silently
    destroying list-typed config like ``custom_providers`` whenever a
    caller used an indexed path.
    """
    parts = dotted_key.split(".")
    current = config
    for part in parts[:-1]:
        if isinstance(current, list):
            try:
                idx = int(part)
            except (TypeError, ValueError):
                raise TypeError(
                    f"Cannot navigate into list at key {dotted_key!r}: "
                    f"segment {part!r} is not a numeric index"
                )
            current = current[idx]
        elif isinstance(current, dict):
            existing = current.get(part)
            # Preserve dicts and lists; replace missing/scalar with a fresh dict.
            if part not in current or not isinstance(existing, (dict, list)):
                current[part] = {}
            current = current[part]
        else:
            raise TypeError(
                f"Cannot navigate into {type(current).__name__} at key {dotted_key!r}"
            )
    last = parts[-1]
    if isinstance(current, list):
        current[int(last)] = value
    else:
        current[last] = value


def get_missing_config_fields() -> List[Dict[str, Any]]:
    """
    Check which config fields are missing or outdated (recursive).
    
    Walks the DEFAULT_CONFIG tree at arbitrary depth and reports any keys
    present in defaults but absent from the user's loaded config.
    """
    config = load_config()
    missing = []

    def _check(defaults: dict, current: dict, prefix: str = ""):
        for key, default_value in defaults.items():
            if key.startswith('_'):
                continue
            full_key = key if not prefix else f"{prefix}.{key}"
            if key not in current:
                missing.append({
                    "key": full_key,
                    "default": default_value,
                    "description": f"New config option: {full_key}",
                })
            elif isinstance(default_value, dict) and isinstance(current.get(key), dict):
                _check(default_value, current[key], full_key)

    _check(DEFAULT_CONFIG, config)
    return missing


def get_missing_skill_config_vars() -> List[Dict[str, Any]]:
    """Return skill-declared config vars that are missing or empty in config.yaml.

    Scans all enabled skills for ``metadata.hermes.config`` entries, then checks
    which ones are absent or empty under ``skills.config.<key>`` in the user's
    config.yaml.  Returns a list of dicts suitable for prompting.
    """
    try:
        from agent.skill_utils import discover_all_skill_config_vars, SKILL_CONFIG_PREFIX
    except Exception:
        return []

    all_vars = discover_all_skill_config_vars()
    if not all_vars:
        return []

    config = load_config()
    missing: List[Dict[str, Any]] = []
    for var in all_vars:
        # Skill config is stored under skills.config.<logical_key>
        storage_key = f"{SKILL_CONFIG_PREFIX}.{var['key']}"
        parts = storage_key.split(".")
        current = config
        value = None
        for part in parts:
            if isinstance(current, dict) and part in current:
                current = current[part]
                value = current
            else:
                value = None
                break
        # Missing = key doesn't exist or is empty string
        if value is None or (isinstance(value, str) and not value.strip()):
            missing.append(var)
    return missing


def _normalize_custom_provider_entry(
    entry: Any,
    *,
    provider_key: str = "",
) -> Optional[Dict[str, Any]]:
    """Return a runtime-compatible custom provider entry or ``None``."""
    if not isinstance(entry, dict):
        return None

    # Accept camelCase aliases commonly used in hand-written configs.
    _CAMEL_ALIASES: Dict[str, str] = {
        "apiKey": "api_key",
        "baseUrl": "base_url",
        "apiMode": "api_mode",
        "keyEnv": "key_env",
        "apiKeyEnv": "key_env",  # alias — OpenClaw-compatible + docs variant
        "defaultModel": "default_model",
        "contextLength": "context_length",
        "rateLimitDelay": "rate_limit_delay",
    }
    # api_key_env is a documented snake_case alias for key_env (see
    # website/docs/guides/azure-foundry.md).  Normalize it up front so the
    # rest of the normalizer treats it as the canonical field.
    if "api_key_env" in entry and "key_env" not in entry:
        entry["key_env"] = entry["api_key_env"]
    _KNOWN_KEYS = {
        "name", "api", "url", "base_url", "api_key", "key_env", "api_key_env",
        "api_mode", "transport", "model", "default_model", "models",
        "context_length", "rate_limit_delay",
        "request_timeout_seconds", "stale_timeout_seconds",
    }
    for camel, snake in _CAMEL_ALIASES.items():
        if camel in entry and snake not in entry:
            logger.warning(
                "providers.%s: camelCase key '%s' auto-mapped to '%s' "
                "(use snake_case to avoid this warning)",
                provider_key or "?", camel, snake,
            )
            entry[snake] = entry[camel]
    unknown = set(entry.keys()) - _KNOWN_KEYS - set(_CAMEL_ALIASES.keys())
    if unknown:
        logger.warning(
            "providers.%s: unknown config keys ignored: %s",
            provider_key or "?", ", ".join(sorted(unknown)),
        )

    from urllib.parse import urlparse

    base_url = ""
    for url_key in ("base_url", "url", "api"):
        raw_url = entry.get(url_key)
        if isinstance(raw_url, str) and raw_url.strip():
            candidate = raw_url.strip()
            parsed = urlparse(candidate)
            if parsed.scheme and parsed.netloc:
                base_url = candidate
                break
            else:
                logger.warning(
                    "providers.%s: '%s' value '%s' is not a valid URL "
                    "(no scheme or host) — skipped",
                    provider_key or "?", url_key, candidate,
                )
    if not base_url:
        return None

    name = ""
    raw_name = entry.get("name")
    if isinstance(raw_name, str) and raw_name.strip():
        name = raw_name.strip()
    elif provider_key.strip():
        name = provider_key.strip()
    if not name:
        return None

    normalized: Dict[str, Any] = {
        "name": name,
        "base_url": base_url,
    }

    provider_key = provider_key.strip()
    if provider_key:
        normalized["provider_key"] = provider_key

    api_key = entry.get("api_key")
    if isinstance(api_key, str) and api_key.strip():
        normalized["api_key"] = api_key.strip()

    key_env = entry.get("key_env")
    if isinstance(key_env, str) and key_env.strip():
        normalized["key_env"] = key_env.strip()

    api_mode = entry.get("api_mode") or entry.get("transport")
    if isinstance(api_mode, str) and api_mode.strip():
        normalized["api_mode"] = api_mode.strip()

    model_name = entry.get("model") or entry.get("default_model")
    if isinstance(model_name, str) and model_name.strip():
        normalized["model"] = model_name.strip()

    models = entry.get("models")
    if isinstance(models, dict) and models:
        normalized["models"] = models
    elif isinstance(models, list) and models:
        # Hand-edited configs (and older Hermes versions) write ``models`` as
        # a plain list of model ids. Preserve them by converting to the dict
        # shape downstream code expects; otherwise normalize silently drops
        # the list and /model shows the provider with (0) models.
        normalized["models"] = {
            str(m): {} for m in models if isinstance(m, str) and m.strip()
        }

    context_length = entry.get("context_length")
    if isinstance(context_length, int) and context_length > 0:
        normalized["context_length"] = context_length

    rate_limit_delay = entry.get("rate_limit_delay")
    if isinstance(rate_limit_delay, (int, float)) and rate_limit_delay >= 0:
        normalized["rate_limit_delay"] = rate_limit_delay

    return normalized


def providers_dict_to_custom_providers(providers_dict: Any) -> List[Dict[str, Any]]:
    """Normalize ``providers`` config entries into the legacy custom-provider shape."""
    if not isinstance(providers_dict, dict):
        return []

    custom_providers: List[Dict[str, Any]] = []
    for key, entry in providers_dict.items():
        normalized = _normalize_custom_provider_entry(entry, provider_key=str(key))
        if normalized is not None:
            custom_providers.append(normalized)

    return custom_providers


def get_compatible_custom_providers(
    config: Optional[Dict[str, Any]] = None,
) -> List[Dict[str, Any]]:
    """Return a deduplicated custom-provider view across legacy and v12+ config.

    ``custom_providers`` remains the on-disk legacy format, while ``providers``
    is the newer keyed schema.  Runtime and picker flows still need a single
    list-shaped view, but we should not materialise that compatibility layer
    back into config.yaml because it duplicates entries in UIs.
    """
    if config is None:
        config = load_config()

    compatible: List[Dict[str, Any]] = []
    seen_provider_keys: set = set()
    seen_name_url_pairs: set = set()

    def _append_if_new(entry: Optional[Dict[str, Any]]) -> None:
        if entry is None:
            return
        provider_key = str(entry.get("provider_key", "") or "").strip().lower()
        name = str(entry.get("name", "") or "").strip().lower()
        base_url = str(entry.get("base_url", "") or "").strip().rstrip("/").lower()
        model = str(entry.get("model", "") or "").strip().lower()
        pair = (name, base_url, model)

        if provider_key and provider_key in seen_provider_keys:
            return
        if name and base_url and pair in seen_name_url_pairs:
            return

        compatible.append(entry)
        if provider_key:
            seen_provider_keys.add(provider_key)
        if name and base_url:
            seen_name_url_pairs.add(pair)

    custom_providers = config.get("custom_providers")
    if custom_providers is not None:
        if not isinstance(custom_providers, list):
            return []
        for entry in custom_providers:
            _append_if_new(_normalize_custom_provider_entry(entry))

    for entry in providers_dict_to_custom_providers(config.get("providers")):
        _append_if_new(entry)

    return compatible


def get_custom_provider_context_length(
    model: str,
    base_url: str,
    custom_providers: Optional[List[Dict[str, Any]]] = None,
    config: Optional[Dict[str, Any]] = None,
) -> Optional[int]:
    """Look up a per-model ``context_length`` override from ``custom_providers``.

    Matches any entry whose ``base_url`` equals ``base_url`` (trailing-slash
    insensitive) and returns ``custom_providers[i].models.<model>.context_length``
    if present and valid.  Returns ``None`` when no override applies.

    This is the single source of truth for custom-provider context overrides,
    used by:
      * ``AIAgent.__init__`` (startup resolution)
      * ``AIAgent.switch_model`` (mid-session ``/model`` switch)
      * ``hermes_cli.model_switch.resolve_display_context_length`` (``/model`` confirmation display)
      * ``gateway.run._format_session_info`` (``/info`` display)
      * ``agent.model_metadata.get_model_context_length`` (when custom_providers is threaded through)

    Before this helper existed, the lookup was duplicated in ``run_agent.py``'s
    startup path only; every other path (notably ``/model`` switch) fell back
    to the 128K default.  See #15779.
    """
    if not model or not base_url:
        return None
    if custom_providers is None:
        try:
            custom_providers = get_compatible_custom_providers(config)
        except Exception:
            if config is None:
                return None
            raw = config.get("custom_providers")
            custom_providers = raw if isinstance(raw, list) else []
    if not isinstance(custom_providers, list):
        return None

    target_url = (base_url or "").rstrip("/")
    if not target_url:
        return None

    for entry in custom_providers:
        if not isinstance(entry, dict):
            continue
        entry_url = (entry.get("base_url") or "").rstrip("/")
        if not entry_url or entry_url != target_url:
            continue
        models = entry.get("models")
        if not isinstance(models, dict):
            continue
        model_cfg = models.get(model)
        if not isinstance(model_cfg, dict):
            continue
        raw_ctx = model_cfg.get("context_length")
        if raw_ctx is None:
            continue
        try:
            ctx = int(raw_ctx)
        except (TypeError, ValueError):
            continue
        if ctx > 0:
            return ctx
    return None


def check_config_version() -> Tuple[int, int]:
    """
    Check config version.
    
    Returns (current_version, latest_version).
    """
    config = load_config()
    current = config.get("_config_version", 0)
    latest = DEFAULT_CONFIG.get("_config_version", 1)
    return current, latest


# =============================================================================
# Config structure validation
# =============================================================================

# Fields that are valid at root level of config.yaml
_KNOWN_ROOT_KEYS = {
    "_config_version", "model", "providers", "fallback_model",
    "fallback_providers", "credential_pool_strategies", "toolsets",
    "agent", "terminal", "display", "compression", "delegation",
    "auxiliary", "custom_providers", "context", "memory", "gateway",
    "sessions",
}

# Valid fields inside a custom_providers list entry
_VALID_CUSTOM_PROVIDER_FIELDS = {
    "name", "base_url", "api_key", "api_mode", "model", "models",
    "context_length", "rate_limit_delay",
    # key_env is read at runtime by runtime_provider.py and auxiliary_client.py
    # — include it here so the set accurately describes the supported schema.
    "key_env",
}

# Fields that look like they should be inside custom_providers, not at root
_CUSTOM_PROVIDER_LIKE_FIELDS = {"base_url", "api_key", "rate_limit_delay", "api_mode"}


@dataclass
class ConfigIssue:
    """A detected config structure problem."""

    severity: str  # "error", "warning"
    message: str
    hint: str


def validate_config_structure(config: Optional[Dict[str, Any]] = None) -> List["ConfigIssue"]:
    """Validate config.yaml structure and return a list of detected issues.

    Catches common YAML formatting mistakes that produce confusing runtime
    errors (like "Unknown provider") instead of clear diagnostics.

    Can be called with a pre-loaded config dict, or will load from disk.
    """
    if config is None:
        try:
            config = load_config()
        except Exception:
            return [ConfigIssue("error", "Could not load config.yaml", "Run 'hermes setup' to create a valid config")]

    issues: List[ConfigIssue] = []

    # ── custom_providers must be a list, not a dict ──────────────────────
    cp = config.get("custom_providers")
    if cp is not None:
        if isinstance(cp, dict):
            issues.append(ConfigIssue(
                "error",
                "custom_providers is a dict — it must be a YAML list (items prefixed with '-')",
                "Change to:\n"
                "  custom_providers:\n"
                "    - name: my-provider\n"
                "      base_url: https://...\n"
                "      api_key: ...",
            ))
            # Check if dict keys look like they should be list-entry fields
            cp_keys = set(cp.keys()) if isinstance(cp, dict) else set()
            suspicious = cp_keys & _CUSTOM_PROVIDER_LIKE_FIELDS
            if suspicious:
                issues.append(ConfigIssue(
                    "warning",
                    f"Root-level keys {sorted(suspicious)} look like custom_providers entry fields",
                    "These should be indented under a '- name: ...' list entry, not at root level",
                ))
        elif isinstance(cp, list):
            # Validate each entry in the list
            for i, entry in enumerate(cp):
                if not isinstance(entry, dict):
                    issues.append(ConfigIssue(
                        "warning",
                        f"custom_providers[{i}] is not a dict (got {type(entry).__name__})",
                        "Each entry should have at minimum: name, base_url",
                    ))
                    continue
                if not entry.get("name"):
                    issues.append(ConfigIssue(
                        "warning",
                        f"custom_providers[{i}] is missing 'name' field",
                        "Add a name, e.g.: name: my-provider",
                    ))
                if not entry.get("base_url"):
                    issues.append(ConfigIssue(
                        "warning",
                        f"custom_providers[{i}] is missing 'base_url' field",
                        "Add the API endpoint URL, e.g.: base_url: https://api.example.com/v1",
                    ))

    # ── fallback_model: single dict OR list of dicts (chain) ─────────────
    fb = config.get("fallback_model")
    if fb is not None:
        if isinstance(fb, list):
            # Chain fallback — validate each entry
            for i, entry in enumerate(fb):
                if not isinstance(entry, dict):
                    issues.append(ConfigIssue(
                        "error",
                        f"fallback_model[{i}] should be a dict, got {type(entry).__name__}",
                        "Each entry needs provider + model",
                    ))
                else:
                    if not entry.get("provider"):
                        issues.append(ConfigIssue(
                            "warning",
                            f"fallback_model[{i}] is missing 'provider' field",
                            "Add: provider: openrouter (or another provider)",
                        ))
                    if not entry.get("model"):
                        issues.append(ConfigIssue(
                            "warning",
                            f"fallback_model[{i}] is missing 'model' field",
                            "Add: model: <model-name>",
                        ))
        elif not isinstance(fb, dict):
            issues.append(ConfigIssue(
                "error",
                f"fallback_model should be a dict with 'provider' and 'model', got {type(fb).__name__}",
                "Change to:\n"
                "  fallback_model:\n"
                "    provider: openrouter\n"
                "    model: anthropic/claude-sonnet-4",
            ))
        elif fb:
            if not fb.get("provider"):
                issues.append(ConfigIssue(
                    "warning",
                    "fallback_model is missing 'provider' field — fallback will be disabled",
                    "Add: provider: openrouter (or another provider)",
                ))
            if not fb.get("model"):
                issues.append(ConfigIssue(
                    "warning",
                    "fallback_model is missing 'model' field — fallback will be disabled",
                    "Add: model: anthropic/claude-sonnet-4 (or another model)",
                ))

    # ── Check for fallback_model accidentally nested inside custom_providers ──
    if isinstance(cp, dict) and "fallback_model" not in config and "fallback_model" in (cp or {}):
        issues.append(ConfigIssue(
            "error",
            "fallback_model appears inside custom_providers instead of at root level",
            "Move fallback_model to the top level of config.yaml (no indentation)",
        ))

    # ── model section: should exist when custom_providers is configured ──
    model_cfg = config.get("model")
    if cp and not model_cfg:
        issues.append(ConfigIssue(
            "warning",
            "custom_providers defined but no 'model' section — Hermes won't know which provider to use",
            "Add a model section:\n"
            "  model:\n"
            "    provider: custom\n"
            "    default: your-model-name\n"
            "    base_url: https://...",
        ))

    # ── Root-level keys that look misplaced ──────────────────────────────
    for key in config:
        if key.startswith("_"):
            continue
        if key not in _KNOWN_ROOT_KEYS and key in _CUSTOM_PROVIDER_LIKE_FIELDS:
            issues.append(ConfigIssue(
                "warning",
                f"Root-level key '{key}' looks misplaced — should it be under 'model:' or inside a 'custom_providers' entry?",
                f"Move '{key}' under the appropriate section",
            ))

    return issues


def print_config_warnings(config: Optional[Dict[str, Any]] = None) -> None:
    """Print config structure warnings to stderr at startup.

    Called early in CLI and gateway init so users see problems before
    they hit cryptic "Unknown provider" errors.  Prints nothing if
    config is healthy.
    """
    try:
        issues = validate_config_structure(config)
    except Exception:
        return
    if not issues:
        return

    lines = ["\033[33m⚠ Config issues detected in config.yaml:\033[0m"]
    for ci in issues:
        marker = "\033[31m✗\033[0m" if ci.severity == "error" else "\033[33m⚠\033[0m"
        lines.append(f"  {marker} {ci.message}")
    lines.append("  \033[2mRun 'hermes doctor' for fix suggestions.\033[0m")
    sys.stderr.write("\n".join(lines) + "\n\n")


def warn_deprecated_cwd_env_vars(config: Optional[Dict[str, Any]] = None) -> None:
    """Warn if MESSAGING_CWD or TERMINAL_CWD is set in .env instead of config.yaml.

    These env vars are deprecated — the canonical setting is terminal.cwd
    in config.yaml.  Prints a migration hint to stderr.
    """
    messaging_cwd = os.environ.get("MESSAGING_CWD")
    terminal_cwd_env = os.environ.get("TERMINAL_CWD")

    if config is None:
        try:
            config = load_config()
        except Exception:
            return

    terminal_cfg = config.get("terminal", {})
    config_cwd = terminal_cfg.get("cwd", ".") if isinstance(terminal_cfg, dict) else "."
    # Only warn if config.yaml doesn't have an explicit path
    config_has_explicit_cwd = config_cwd not in (".", "auto", "cwd", "")

    lines: list[str] = []
    if messaging_cwd:
        lines.append(
            f"  \033[33m⚠\033[0m MESSAGING_CWD={messaging_cwd} found in .env — "
            f"this is deprecated."
        )
    if terminal_cwd_env and not config_has_explicit_cwd:
        # TERMINAL_CWD in env but not from config bridge — likely from .env
        lines.append(
            f"  \033[33m⚠\033[0m TERMINAL_CWD={terminal_cwd_env} found in .env — "
            f"this is deprecated."
        )
    if lines:
        hint_path = os.environ.get("HERMES_HOME", "~/.hermes")
        lines.insert(0, "\033[33m⚠ Deprecated .env settings detected:\033[0m")
        lines.append(
            f"  \033[2mMove to config.yaml instead:  "
            f"terminal:\\n    cwd: /your/project/path\033[0m"
        )
        lines.append(
            f"  \033[2mThen remove the old entries from {hint_path}/.env\033[0m"
        )
        sys.stderr.write("\n".join(lines) + "\n\n")


def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, Any]:
    """
    Migrate config to latest version, prompting for new required fields.
    
    Args:
        interactive: If True, prompt user for missing values
        quiet: If True, suppress output
        
    Returns:
        Dict with migration results: {"env_added": [...], "config_added": [...], "warnings": [...]}
    """
    results = {"env_added": [], "config_added": [], "warnings": []}

    # ── Always: sanitize .env (split concatenated keys) ──
    try:
        fixes = sanitize_env_file()
        if fixes and not quiet:
            print(f"  ✓ Repaired .env file ({fixes} corrupted entries fixed)")
    except Exception:
        pass  # best-effort; don't block migration on sanitize failure

    # Check config version
    current_ver, latest_ver = check_config_version()
    
    # ── Version 3 → 4: migrate tool progress from .env to config.yaml ──
    if current_ver < 4:
        config = load_config()
        display = config.get("display", {})
        if not isinstance(display, dict):
            display = {}
        if "tool_progress" not in display:
            old_enabled = get_env_value("HERMES_TOOL_PROGRESS")
            old_mode = get_env_value("HERMES_TOOL_PROGRESS_MODE")
            if old_enabled and old_enabled.lower() in ("false", "0", "no"):
                display["tool_progress"] = "off"
                results["config_added"].append("display.tool_progress=off (from HERMES_TOOL_PROGRESS=false)")
            elif old_mode and old_mode.lower() in ("new", "all"):
                display["tool_progress"] = old_mode.lower()
                results["config_added"].append(f"display.tool_progress={old_mode.lower()} (from HERMES_TOOL_PROGRESS_MODE)")
            else:
                display["tool_progress"] = "all"
                results["config_added"].append("display.tool_progress=all (default)")
            config["display"] = display
            save_config(config)
            if not quiet:
                print(f"  ✓ Migrated tool progress to config.yaml: {display['tool_progress']}")
    
    # ── Version 4 → 5: add timezone field ──
    if current_ver < 5:
        config = load_config()
        if "timezone" not in config:
            old_tz = os.getenv("HERMES_TIMEZONE", "")
            if old_tz and old_tz.strip():
                config["timezone"] = old_tz.strip()
                results["config_added"].append(f"timezone={old_tz.strip()} (from HERMES_TIMEZONE)")
            else:
                config["timezone"] = ""
                results["config_added"].append("timezone= (empty, uses server-local)")
            save_config(config)
            if not quiet:
                tz_display = config["timezone"] or "(server-local)"
                print(f"  ✓ Added timezone to config.yaml: {tz_display}")

    # ── Version 8 → 9: clear ANTHROPIC_TOKEN from .env ──
    # The new Anthropic auth flow no longer uses this env var.
    if current_ver < 9:
        try:
            old_token = get_env_value("ANTHROPIC_TOKEN")
            if old_token:
                save_env_value("ANTHROPIC_TOKEN", "")
                if not quiet:
                    print("  ✓ Cleared ANTHROPIC_TOKEN from .env (no longer used)")
        except Exception:
            pass

    # ── Version 11 → 12: migrate custom_providers list → providers dict ──
    if current_ver < 12:
        config = load_config()
        custom_list = config.get("custom_providers")
        if isinstance(custom_list, list) and custom_list:
            providers_dict = config.get("providers", {})
            if not isinstance(providers_dict, dict):
                providers_dict = {}
            migrated_count = 0
            for entry in custom_list:
                if not isinstance(entry, dict):
                    continue
                old_name = entry.get("name", "")
                old_url = entry.get("base_url", "") or entry.get("url", "") or ""
                old_key = entry.get("api_key", "")
                if not old_url:
                    continue  # skip entries with no URL

                # Generate a kebab-case key from the display name
                key = old_name.strip().lower().replace(" ", "-").replace("(", "").replace(")", "")
                # Remove consecutive hyphens and trailing hyphens
                while "--" in key:
                    key = key.replace("--", "-")
                key = key.strip("-")
                if not key:
                    # Fallback: derive from URL hostname
                    try:
                        from urllib.parse import urlparse
                        parsed = urlparse(old_url)
                        key = (parsed.hostname or "endpoint").replace(".", "-")
                    except Exception:
                        key = f"endpoint-{migrated_count}"

                # Don't overwrite existing entries
                if key in providers_dict:
                    key = f"{key}-{migrated_count}"

                new_entry = {"api": old_url}
                if old_name:
                    new_entry["name"] = old_name
                if old_key and old_key not in ("no-key", "no-key-required", ""):
                    new_entry["api_key"] = old_key

                # Carry over model and api_mode if present
                if entry.get("model"):
                    new_entry["default_model"] = entry["model"]
                if entry.get("api_mode"):
                    new_entry["transport"] = entry["api_mode"]

                providers_dict[key] = new_entry
                migrated_count += 1

            if migrated_count > 0:
                config["providers"] = providers_dict
                # Remove the old list — runtime reads via get_compatible_custom_providers()
                config.pop("custom_providers", None)
                save_config(config)
                if not quiet:
                    print(f"  ✓ Migrated {migrated_count} custom provider(s) to providers: section")
                    for key in list(providers_dict.keys())[-migrated_count:]:
                        ep = providers_dict[key]
                        print(f"    → {key}: {ep.get('api', '')}")

    # ── Version 12 → 13: clear dead LLM_MODEL / OPENAI_MODEL from .env ──
    # These env vars were written by the old setup wizard but nothing reads
    # them anymore (config.yaml is the sole source of truth since March 2026).
    # Stale entries cause user confusion — see issue report.
    if current_ver < 13:
        for dead_var in ("LLM_MODEL", "OPENAI_MODEL"):
            try:
                old_val = get_env_value(dead_var)
                if old_val:
                    save_env_value(dead_var, "")
                    if not quiet:
                        print(f"  ✓ Cleared {dead_var} from .env (no longer used — config.yaml is source of truth)")
            except Exception:
                pass

    # ── Version 13 → 14: migrate legacy flat stt.model to provider section ──
    # Old configs (and cli-config.yaml.example) had a flat `stt.model` key
    # that was provider-agnostic.  When the provider was "local" this caused
    # OpenAI model names (e.g. "whisper-1") to be fed to faster-whisper,
    # crashing with "Invalid model size".  Move the value into the correct
    # provider-specific section and remove the flat key.
    if current_ver < 14:
        # Read raw config (no defaults merged) to check what the user actually
        # wrote, then apply changes to the merged config for saving.
        raw = read_raw_config()
        raw_stt = raw.get("stt", {})
        if isinstance(raw_stt, dict) and "model" in raw_stt:
            legacy_model = raw_stt["model"]
            provider = raw_stt.get("provider", "local")
            config = load_config()
            stt = config.get("stt", {})
            # Remove the legacy flat key
            stt.pop("model", None)
            # Place it in the appropriate provider section only if the
            # user didn't already set a model there
            if provider in ("local", "local_command"):
                # Don't migrate an OpenAI model name into the local section
                _local_models = {
                    "tiny.en", "tiny", "base.en", "base", "small.en", "small",
                    "medium.en", "medium", "large-v1", "large-v2", "large-v3",
                    "large", "distil-large-v2", "distil-medium.en",
                    "distil-small.en", "distil-large-v3", "distil-large-v3.5",
                    "large-v3-turbo", "turbo",
                }
                if legacy_model in _local_models:
                    # Check raw config — only set if user didn't already
                    # have a nested local.model
                    raw_local = raw_stt.get("local", {})
                    if not isinstance(raw_local, dict) or "model" not in raw_local:
                        local_cfg = stt.setdefault("local", {})
                        local_cfg["model"] = legacy_model
                # else: drop it — it was an OpenAI model name, local section
                # already defaults to "base" via DEFAULT_CONFIG
            else:
                # Cloud provider — put it in that provider's section only
                # if user didn't already set a nested model
                raw_provider = raw_stt.get(provider, {})
                if not isinstance(raw_provider, dict) or "model" not in raw_provider:
                    provider_cfg = stt.setdefault(provider, {})
                    provider_cfg["model"] = legacy_model
            config["stt"] = stt
            save_config(config)
            if not quiet:
                print(f"  ✓ Migrated legacy stt.model to provider-specific config")

    # ── Version 14 → 15: add explicit gateway interim-message gate ──
    if current_ver < 15:
        config = read_raw_config()
        display = config.get("display", {})
        if not isinstance(display, dict):
            display = {}
        if "interim_assistant_messages" not in display:
            display["interim_assistant_messages"] = True
            config["display"] = display
            results["config_added"].append("display.interim_assistant_messages=true (default)")
            save_config(config)
            if not quiet:
                print("  ✓ Added display.interim_assistant_messages=true")

    # ── Version 15 → 16: migrate tool_progress_overrides into display.platforms ──
    if current_ver < 16:
        config = read_raw_config()
        display = config.get("display", {})
        if not isinstance(display, dict):
            display = {}
        old_overrides = display.get("tool_progress_overrides")
        if isinstance(old_overrides, dict) and old_overrides:
            platforms = display.get("platforms", {})
            if not isinstance(platforms, dict):
                platforms = {}
            for plat, mode in old_overrides.items():
                if plat not in platforms:
                    platforms[plat] = {}
                if "tool_progress" not in platforms[plat]:
                    platforms[plat]["tool_progress"] = mode
            display["platforms"] = platforms
            config["display"] = display
            save_config(config)
            if not quiet:
                migrated = ", ".join(f"{p}={m}" for p, m in old_overrides.items())
                print(f"  ✓ Migrated tool_progress_overrides → display.platforms: {migrated}")
            results["config_added"].append("display.platforms (migrated from tool_progress_overrides)")

    # ── Version 16 → 17: remove legacy compression.summary_* keys ──
    if current_ver < 17:
        config = read_raw_config()
        comp = config.get("compression", {})
        if isinstance(comp, dict):
            s_model = comp.pop("summary_model", None)
            s_provider = comp.pop("summary_provider", None)
            s_base_url = comp.pop("summary_base_url", None)
            migrated_keys = []
            # Migrate non-empty, non-default values to auxiliary.compression
            if s_model and str(s_model).strip():
                aux = config.setdefault("auxiliary", {})
                aux_comp = aux.setdefault("compression", {})
                if not aux_comp.get("model"):
                    aux_comp["model"] = str(s_model).strip()
                    migrated_keys.append(f"model={s_model}")
            if s_provider and str(s_provider).strip() not in ("", "auto"):
                aux = config.setdefault("auxiliary", {})
                aux_comp = aux.setdefault("compression", {})
                if not aux_comp.get("provider") or aux_comp.get("provider") == "auto":
                    aux_comp["provider"] = str(s_provider).strip()
                    migrated_keys.append(f"provider={s_provider}")
            if s_base_url and str(s_base_url).strip():
                aux = config.setdefault("auxiliary", {})
                aux_comp = aux.setdefault("compression", {})
                if not aux_comp.get("base_url"):
                    aux_comp["base_url"] = str(s_base_url).strip()
                    migrated_keys.append(f"base_url={s_base_url}")
            if migrated_keys or s_model is not None or s_provider is not None or s_base_url is not None:
                config["compression"] = comp
                save_config(config)
                if not quiet:
                    if migrated_keys:
                        print(f"  ✓ Migrated compression.summary_* → auxiliary.compression: {', '.join(migrated_keys)}")
                    else:
                        print("  ✓ Removed unused compression.summary_* keys")

    # ── Version 20 → 21: plugins are now opt-in; grandfather existing user plugins ──
    # The loader now requires plugins to appear in ``plugins.enabled`` before
    # loading. Existing installs had all discovered plugins loading by default
    # (minus anything in ``plugins.disabled``). To avoid silently breaking
    # those setups on upgrade, populate ``plugins.enabled`` with the set of
    # currently-installed user plugins that aren't already disabled.
    #
    # Bundled plugins (shipped in the repo itself) are NOT grandfathered —
    # they ship off for everyone, including existing users, so any user who
    # wants one has to opt in explicitly.
    if current_ver < 21:
        config = read_raw_config()
        plugins_cfg = config.get("plugins")
        if not isinstance(plugins_cfg, dict):
            plugins_cfg = {}
        # Only migrate if the enabled allow-list hasn't been set yet.
        if "enabled" not in plugins_cfg:
            disabled = plugins_cfg.get("disabled", []) or []
            if not isinstance(disabled, list):
                disabled = []
            disabled_set = set(disabled)

            # Scan ``$HERMES_HOME/plugins/`` for currently installed user plugins.
            grandfathered: List[str] = []
            try:
                user_plugins_dir = get_hermes_home() / "plugins"
                if user_plugins_dir.is_dir():
                    for child in sorted(user_plugins_dir.iterdir()):
                        if not child.is_dir():
                            continue
                        manifest_file = child / "plugin.yaml"
                        if not manifest_file.exists():
                            manifest_file = child / "plugin.yml"
                        if not manifest_file.exists():
                            continue
                        try:
                            with open(manifest_file) as _mf:
                                manifest = yaml.safe_load(_mf) or {}
                        except Exception:
                            manifest = {}
                        name = manifest.get("name") or child.name
                        if name in disabled_set:
                            continue
                        grandfathered.append(name)
            except Exception:
                grandfathered = []

            plugins_cfg["enabled"] = grandfathered
            config["plugins"] = plugins_cfg
            save_config(config)
            results["config_added"].append(
                f"plugins.enabled (opt-in allow-list, {len(grandfathered)} grandfathered)"
            )
            if not quiet:
                if grandfathered:
                    print(
                        f"  ✓ Plugins now opt-in: grandfathered "
                        f"{len(grandfathered)} existing plugin(s) into plugins.enabled"
                    )
                else:
                    print(
                        "  ✓ Plugins now opt-in: no existing plugins to grandfather. "
                        "Use `hermes plugins enable <name>` to activate."
                    )

    # ── Version 22 → 23: seed curator defaults + create logs/curator/ ──
    # The curator (background skill maintenance) was added in PR #16049, but
    # existing configs from before that PR (or before the April 2026
    # unification under `auxiliary.curator`) never wrote the curator section
    # to disk. The runtime deep-merge in `load_config()` fills defaults at
    # read time, so the curator *functions*; but users can't see/edit the
    # settings in their `config.yaml`, and `hermes curator status` has no
    # stable logs dir to point at until the first run mkdir's it.
    #
    # This migration:
    #   1. Writes the `curator` top-level section to config.yaml (enabled,
    #      interval_hours, min_idle_hours, stale_after_days, archive_after_days)
    #      — only keys the user hasn't already overridden.
    #   2. Writes the `auxiliary.curator` aux-task slot (provider, model,
    #      base_url, api_key, timeout, extra_body) — canonical slot for
    #      routing the curator fork to a cheaper aux model.
    #   3. Creates `~/.hermes/logs/curator/` if missing (belt-and-suspenders
    #      on top of ensure_hermes_home() — old profiles that predate this
    #      migration still benefit).
    if current_ver < 23:
        try:
            curator_dir = get_hermes_home() / "logs" / "curator"
            curator_dir.mkdir(parents=True, exist_ok=True)
        except Exception as e:
            results["warnings"].append(f"Could not create {curator_dir}: {e}")

        config = read_raw_config()
        touched = False

        # (1) Top-level curator section — only add missing keys
        _curator_defaults = DEFAULT_CONFIG.get("curator", {})
        raw_curator = config.get("curator")
        if not isinstance(raw_curator, dict):
            raw_curator = {}
        added_curator: List[str] = []
        for k, v in _curator_defaults.items():
            if k not in raw_curator:
                raw_curator[k] = copy.deepcopy(v)
                added_curator.append(k)
        if added_curator:
            config["curator"] = raw_curator
            touched = True

        # (2) auxiliary.curator task slot
        _aux_curator_defaults = (
            DEFAULT_CONFIG.get("auxiliary", {}).get("curator", {})
        )
        raw_aux = config.get("auxiliary")
        if not isinstance(raw_aux, dict):
            raw_aux = {}
        raw_aux_curator = raw_aux.get("curator")
        if not isinstance(raw_aux_curator, dict):
            raw_aux_curator = {}
        added_aux: List[str] = []
        for k, v in _aux_curator_defaults.items():
            if k not in raw_aux_curator:
                raw_aux_curator[k] = copy.deepcopy(v)
                added_aux.append(k)
        if added_aux:
            raw_aux["curator"] = raw_aux_curator
            config["auxiliary"] = raw_aux
            touched = True

        if touched:
            save_config(config)
            if added_curator:
                results["config_added"].append(
                    f"curator ({len(added_curator)} default key(s))"
                )
                if not quiet:
                    print(
                        "  ✓ Seeded curator defaults in config.yaml: "
                        f"{', '.join(added_curator)}"
                    )
            if added_aux:
                results["config_added"].append(
                    f"auxiliary.curator ({len(added_aux)} default key(s))"
                )
                if not quiet:
                    print(
                        "  ✓ Seeded auxiliary.curator defaults in config.yaml: "
                        f"{', '.join(added_aux)}"
                    )

    if current_ver < latest_ver and not quiet:
        print(f"Config version: {current_ver} → {latest_ver}")
    
    # Check for missing required env vars
    missing_env = get_missing_env_vars(required_only=True)
    
    if missing_env and not quiet:
        print("\n⚠️  Missing required environment variables:")
        for var in missing_env:
            print(f"   • {var['name']}: {var['description']}")
    
    if interactive and missing_env:
        print("\nLet's configure them now:\n")
        for var in missing_env:
            if var.get("url"):
                print(f"  Get your key at: {var['url']}")
            
            if var.get("password"):
                import getpass
                value = getpass.getpass(f"  {var['prompt']}: ")
            else:
                value = input(f"  {var['prompt']}: ").strip()
            
            if value:
                save_env_value(var["name"], value)
                results["env_added"].append(var["name"])
                print(f"  ✓ Saved {var['name']}")
            else:
                results["warnings"].append(f"Skipped {var['name']} - some features may not work")
            print()
    
    # Check for missing optional env vars and offer to configure interactively
    # Skip "advanced" vars (like OPENAI_BASE_URL) -- those are for power users
    missing_optional = get_missing_env_vars(required_only=False)
    required_names = {v["name"] for v in missing_env} if missing_env else set()
    missing_optional = [
        v for v in missing_optional
        if v["name"] not in required_names and not v.get("advanced")
    ]
    
    # Only offer to configure env vars that are NEW since the user's previous version
    new_var_names = set()
    for ver in range(current_ver + 1, latest_ver + 1):
        new_var_names.update(ENV_VARS_BY_VERSION.get(ver, []))

    if new_var_names and interactive and not quiet:
        new_and_unset = [
            (name, OPTIONAL_ENV_VARS[name])
            for name in sorted(new_var_names)
            if not get_env_value(name) and name in OPTIONAL_ENV_VARS
        ]
        if new_and_unset:
            print(f"\n  {len(new_and_unset)} new optional key(s) in this update:")
            for name, info in new_and_unset:
                print(f"    • {name} — {info.get('description', '')}")
            print()
            try:
                answer = input("  Configure new keys? [y/N]: ").strip().lower()
            except (EOFError, KeyboardInterrupt):
                answer = "n"

            if answer in ("y", "yes"):
                print()
                for name, info in new_and_unset:
                    if info.get("url"):
                        print(f"  {info.get('description', name)}")
                        print(f"  Get your key at: {info['url']}")
                    else:
                        print(f"  {info.get('description', name)}")
                    if info.get("password"):
                        import getpass
                        value = getpass.getpass(f"  {info.get('prompt', name)} (Enter to skip): ")
                    else:
                        value = input(f"  {info.get('prompt', name)} (Enter to skip): ").strip()
                    if value:
                        save_env_value(name, value)
                        results["env_added"].append(name)
                        print(f"  ✓ Saved {name}")
                    print()
            else:
                print("  Set later with: hermes config set <key> <value>")
    
    # Check for missing config fields
    missing_config = get_missing_config_fields()
    
    if missing_config:
        config = load_config()
        
        for field in missing_config:
            key = field["key"]
            default = field["default"]
            
            _set_nested(config, key, default)
            results["config_added"].append(key)
            if not quiet:
                print(f"  ✓ Added {key} = {default}")
        
        # Update version and save
        config["_config_version"] = latest_ver
        save_config(config)
    elif current_ver < latest_ver:
        # Just update version
        config = load_config()
        config["_config_version"] = latest_ver
        save_config(config)

    # ── Skill-declared config vars ──────────────────────────────────────
    # Skills can declare config.yaml settings they need via
    # metadata.hermes.config in their SKILL.md frontmatter.
    # Prompt for any that are missing/empty.
    missing_skill_config = get_missing_skill_config_vars()
    if missing_skill_config and interactive and not quiet:
        print(f"\n  {len(missing_skill_config)} skill setting(s) not configured:")
        for var in missing_skill_config:
            skill_name = var.get("skill", "unknown")
            print(f"    • {var['key']} — {var['description']} (from skill: {skill_name})")
        print()
        try:
            answer = input("  Configure skill settings? [y/N]: ").strip().lower()
        except (EOFError, KeyboardInterrupt):
            answer = "n"

        if answer in ("y", "yes"):
            print()
            config = load_config()
            try:
                from agent.skill_utils import SKILL_CONFIG_PREFIX
            except Exception:
                SKILL_CONFIG_PREFIX = "skills.config"
            for var in missing_skill_config:
                default = var.get("default", "")
                default_hint = f" (default: {default})" if default else ""
                value = input(f"  {var['prompt']}{default_hint}: ").strip()
                if not value and default:
                    value = str(default)
                if value:
                    storage_key = f"{SKILL_CONFIG_PREFIX}.{var['key']}"
                    _set_nested(config, storage_key, value)
                    results["config_added"].append(var["key"])
                    print(f"  ✓ Saved {var['key']} = {value}")
                else:
                    results["warnings"].append(
                        f"Skipped {var['key']} — skill '{var.get('skill', '?')}' may ask for it later"
                    )
                print()
            save_config(config)
        else:
            print("  Set later with: hermes config set <key> <value>")

    return results


def _deep_merge(base: dict, override: dict) -> dict:
    """Recursively merge *override* into *base*, preserving nested defaults.

    Keys in *override* take precedence. If both values are dicts the merge
    recurses, so a user who overrides only ``tts.elevenlabs.voice_id`` will
    keep the default ``tts.elevenlabs.model_id`` intact.
    """
    result = base.copy()
    for key, value in override.items():
        if (
            key in result
            and isinstance(result[key], dict)
            and isinstance(value, dict)
        ):
            result[key] = _deep_merge(result[key], value)
        else:
            result[key] = value
    return result


def _expand_env_vars(obj):
    """Recursively expand ``${VAR}`` references in config values.

    Only string values are processed; dict keys, numbers, booleans, and
    None are left untouched.  Unresolved references (variable not in
    ``os.environ``) are kept verbatim so callers can detect them.
    """
    if isinstance(obj, str):
        return re.sub(
            r"\${([^}]+)}",
            lambda m: os.environ.get(m.group(1), m.group(0)),
            obj,
        )
    if isinstance(obj, dict):
        return {k: _expand_env_vars(v) for k, v in obj.items()}
    if isinstance(obj, list):
        return [_expand_env_vars(item) for item in obj]
    return obj


def _items_by_unique_name(items):
    """Return a name-indexed dict only when all items have unique string names."""
    if not isinstance(items, list):
        return None
    indexed = {}
    for item in items:
        if not isinstance(item, dict) or not isinstance(item.get("name"), str):
            return None
        name = item["name"]
        if name in indexed:
            return None
        indexed[name] = item
    return indexed


def _preserve_env_ref_templates(current, raw, loaded_expanded=None):
    """Restore raw ``${VAR}`` templates when a value is otherwise unchanged.

    ``load_config()`` expands env refs for runtime use. When a caller later
    persists that config after modifying some unrelated setting, keep the
    original on-disk template instead of writing the expanded plaintext
    secret back to ``config.yaml``.

    Prefer preserving the raw template when ``current`` still matches either
    the value previously returned by ``load_config()`` for this config path or
    the current environment expansion of ``raw``. This handles env-var
    rotation between load and save while still treating mixed literal/template
    string edits as caller-owned once their rendered value diverges.
    """
    if isinstance(current, str) and isinstance(raw, str) and re.search(r"\${[^}]+}", raw):
        if current == raw:
            return raw
        if isinstance(loaded_expanded, str) and current == loaded_expanded:
            return raw
        if _expand_env_vars(raw) == current:
            return raw
        return current

    if isinstance(current, dict) and isinstance(raw, dict):
        return {
            key: _preserve_env_ref_templates(
                value,
                raw.get(key),
                loaded_expanded.get(key) if isinstance(loaded_expanded, dict) else None,
            )
            for key, value in current.items()
        }

    if isinstance(current, list) and isinstance(raw, list):
        # Prefer matching named config objects (e.g. custom_providers) by name
        # so harmless reordering doesn't drop the original template. If names
        # are duplicated, fall back to positional matching instead of silently
        # shadowing one entry.
        current_by_name = _items_by_unique_name(current)
        raw_by_name = _items_by_unique_name(raw)
        loaded_by_name = _items_by_unique_name(loaded_expanded)
        if current_by_name is not None and raw_by_name is not None:
            return [
                _preserve_env_ref_templates(
                    item,
                    raw_by_name.get(item.get("name")),
                    loaded_by_name.get(item.get("name")) if loaded_by_name is not None else None,
                )
                for item in current
            ]
        return [
            _preserve_env_ref_templates(
                item,
                raw[index] if index < len(raw) else None,
                loaded_expanded[index]
                if isinstance(loaded_expanded, list) and index < len(loaded_expanded)
                else None,
            )
            for index, item in enumerate(current)
        ]

    return current


def _normalize_root_model_keys(config: Dict[str, Any]) -> Dict[str, Any]:
    """Move stale root-level provider/base_url/context_length into model section.

    Some users (or older code) placed ``provider:``, ``base_url:``, or
    ``context_length:`` at the config root instead of inside ``model:``.
    These root-level keys are only used as a fallback when the corresponding
    ``model.*`` key is empty — they never override an existing value.
    After migration the root-level keys are removed so they can't cause
    confusion on subsequent loads.
    """
    # Only act if there are root-level keys to migrate
    has_root = any(config.get(k) for k in ("provider", "base_url", "context_length"))
    if not has_root:
        return config

    config = dict(config)
    model = config.get("model")
    if not isinstance(model, dict):
        model = {"default": model} if model else {}
        config["model"] = model

    for key in ("provider", "base_url", "context_length"):
        root_val = config.get(key)
        if root_val and not model.get(key):
            model[key] = root_val
        config.pop(key, None)

    return config


def _normalize_max_turns_config(config: Dict[str, Any]) -> Dict[str, Any]:
    """Normalize legacy root-level max_turns into agent.max_turns."""
    config = dict(config)
    agent_config = dict(config.get("agent") or {})

    if "max_turns" in config and "max_turns" not in agent_config:
        agent_config["max_turns"] = config["max_turns"]

    if "max_turns" not in agent_config:
        agent_config["max_turns"] = DEFAULT_CONFIG["agent"]["max_turns"]

    config["agent"] = agent_config
    config.pop("max_turns", None)
    return config


def cfg_get(cfg: Optional[Dict[str, Any]], *keys: str, default: Any = None) -> Any:
    """Traverse nested dict keys safely, returning ``default`` on any miss.

    Canonical helper for the ``cfg.get("X", {}).get("Y", default)`` pattern
    that appears 50+ times across the codebase. Handles three common gotchas
    in one place:

      1. Missing intermediate keys (returns ``default``, no KeyError).
      2. An intermediate value that's not a dict (e.g. a user wrote a string
         where a section was expected). Returns ``default`` instead of
         AttributeError on ``.get()``.
      3. ``cfg is None`` (callers sometimes pass ``load_config() or None``).

    Named ``cfg_get`` rather than ``cfg_path`` to avoid shadowing the
    ubiquitous ``cfg_path = _hermes_home / "config.yaml"`` local variable
    that appears in gateway/run.py, cron/scheduler.py, main.py, etc.

    Explicit ``None`` values are returned as-is (matches ``dict.get(key,
    default)`` semantics — ``default`` is only returned when the key is
    *absent*, not when it's present but set to ``None``).

    Examples:
        >>> cfg_get({"agent": {"reasoning_effort": "high"}}, "agent", "reasoning_effort")
        'high'
        >>> cfg_get({}, "agent", "reasoning_effort", default="medium")
        'medium'
        >>> cfg_get({"agent": "oops_a_string"}, "agent", "reasoning_effort", default="low")
        'low'
        >>> cfg_get(None, "anything", default=42)
        42
        >>> cfg_get({"a": {"b": None}}, "a", "b", default="def")  # explicit None preserved
        >>> cfg_get({"a": {"b": False}}, "a", "b", default=True)  # falsy values preserved
        False
    """
    if not isinstance(cfg, dict):
        return default
    node: Any = cfg
    for key in keys:
        if not isinstance(node, dict):
            return default
        if key not in node:
            return default
        node = node[key]
    return node



def read_raw_config() -> Dict[str, Any]:
    """Read ~/.hermes/config.yaml as-is, without merging defaults or migrating.

    Returns the raw YAML dict, or ``{}`` if the file doesn't exist or can't
    be parsed.  Use this for lightweight config reads where you just need a
    single value and don't want the overhead of ``load_config()``'s deep-merge
    + migration pipeline.

    Cached on the config file's (mtime_ns, size) — same strategy as
    ``load_config()``. Returns a deepcopy on every call since some callers
    mutate the result before passing to ``save_config()``.
    """
    try:
        config_path = get_config_path()
        st = config_path.stat()
        cache_key = (st.st_mtime_ns, st.st_size)
    except (FileNotFoundError, OSError):
        return {}

    path_key = str(config_path)
    cached = _RAW_CONFIG_CACHE.get(path_key)
    if cached is not None and cached[:2] == cache_key:
        return copy.deepcopy(cached[2])

    try:
        with open(config_path, encoding="utf-8") as f:
            data = yaml.safe_load(f) or {}
    except Exception:
        return {}

    if not isinstance(data, dict):
        data = {}
    _RAW_CONFIG_CACHE[path_key] = (cache_key[0], cache_key[1], copy.deepcopy(data))
    return data


def load_config() -> Dict[str, Any]:
    """Load configuration from ~/.hermes/config.yaml.

    Cached on the config file's (mtime_ns, size). Returns a deepcopy of
    the cached value when unchanged, since most call sites mutate the
    result (e.g. ``cfg["model"]["default"] = ...`` before ``save_config``).
    The cache is keyed on ``str(config_path)`` so profile switches
    (which change ``HERMES_HOME`` and therefore ``get_config_path()``)
    don't collide.
    """
    ensure_hermes_home()
    config_path = get_config_path()
    path_key = str(config_path)

    try:
        st = config_path.stat()
        cache_key: Optional[Tuple[int, int]] = (st.st_mtime_ns, st.st_size)
    except FileNotFoundError:
        cache_key = None

    cached = _LOAD_CONFIG_CACHE.get(path_key)
    if cached is not None and cache_key is not None and cached[:2] == cache_key:
        return copy.deepcopy(cached[2])

    config = copy.deepcopy(DEFAULT_CONFIG)

    if cache_key is not None:
        try:
            with open(config_path, encoding="utf-8") as f:
                user_config = yaml.safe_load(f) or {}

            if "max_turns" in user_config:
                agent_user_config = dict(user_config.get("agent") or {})
                if agent_user_config.get("max_turns") is None:
                    agent_user_config["max_turns"] = user_config["max_turns"]
                user_config["agent"] = agent_user_config
                user_config.pop("max_turns", None)

            config = _deep_merge(config, user_config)
        except Exception as e:
            print(f"Warning: Failed to load config: {e}")

    normalized = _normalize_root_model_keys(_normalize_max_turns_config(config))
    expanded = _expand_env_vars(normalized)
    _LAST_EXPANDED_CONFIG_BY_PATH[path_key] = copy.deepcopy(expanded)
    if cache_key is not None:
        _LOAD_CONFIG_CACHE[path_key] = (cache_key[0], cache_key[1], copy.deepcopy(expanded))
    else:
        _LOAD_CONFIG_CACHE.pop(path_key, None)
    return expanded


_SECURITY_COMMENT = """
# ── Security ──────────────────────────────────────────────────────────
# Secret redaction is OFF by default — tool output (terminal stdout,
# read_file results, web content) passes through unmodified. Set
# redact_secrets to true to mask strings that look like API keys, tokens,
# and passwords before they enter the model context and logs.
# tirith pre-exec scanning is enabled by default when the tirith binary
# is available. Configure via security.tirith_* keys or env vars
# (TIRITH_ENABLED, TIRITH_BIN, TIRITH_TIMEOUT, TIRITH_FAIL_OPEN).
#
# security:
#   redact_secrets: true
#   tirith_enabled: true
#   tirith_path: "tirith"
#   tirith_timeout: 5
#   tirith_fail_open: true
"""

_FALLBACK_COMMENT = """
# ── Fallback Model ────────────────────────────────────────────────────
# Automatic provider failover when primary is unavailable.
# Uncomment and configure to enable. Triggers on rate limits (429),
# overload (529), service errors (503), or connection failures.
#
# Supported providers:
#   openrouter   (OPENROUTER_API_KEY)  — routes to any model
#   openai-codex (OAuth — hermes auth) — OpenAI Codex
#   nous         (OAuth — hermes auth) — Nous Portal
#   zai          (ZAI_API_KEY)         — Z.AI / GLM
#   kimi-coding  (KIMI_API_KEY)        — Kimi / Moonshot
#   kimi-coding-cn (KIMI_CN_API_KEY)   — Kimi / Moonshot (China)
#   minimax      (MINIMAX_API_KEY)     — MiniMax
#   minimax-cn   (MINIMAX_CN_API_KEY)  — MiniMax (China)
#
# For custom OpenAI-compatible endpoints, add base_url and key_env.
#
# fallback_model:
#   provider: openrouter
#   model: anthropic/claude-sonnet-4
"""


_COMMENTED_SECTIONS = """
# ── Security ──────────────────────────────────────────────────────────
# Secret redaction is OFF by default. Set to true to mask strings that
# look like API keys, tokens, and passwords in tool output and logs.
#
# security:
#   redact_secrets: true

# ── Fallback Model ────────────────────────────────────────────────────
# Automatic provider failover when primary is unavailable.
# Uncomment and configure to enable. Triggers on rate limits (429),
# overload (529), service errors (503), or connection failures.
#
# Supported providers:
#   openrouter   (OPENROUTER_API_KEY)  — routes to any model
#   openai-codex (OAuth — hermes auth) — OpenAI Codex
#   nous         (OAuth — hermes auth) — Nous Portal
#   zai          (ZAI_API_KEY)         — Z.AI / GLM
#   kimi-coding  (KIMI_API_KEY)        — Kimi / Moonshot
#   kimi-coding-cn (KIMI_CN_API_KEY)   — Kimi / Moonshot (China)
#   minimax      (MINIMAX_API_KEY)     — MiniMax
#   minimax-cn   (MINIMAX_CN_API_KEY)  — MiniMax (China)
#
# For custom OpenAI-compatible endpoints, add base_url and key_env.
#
# fallback_model:
#   provider: openrouter
#   model: anthropic/claude-sonnet-4
"""


def save_config(config: Dict[str, Any]):
    """Save configuration to ~/.hermes/config.yaml."""
    if is_managed():
        managed_error("save configuration")
        return
    from utils import atomic_yaml_write

    ensure_hermes_home()
    config_path = get_config_path()
    current_normalized = _normalize_root_model_keys(_normalize_max_turns_config(config))
    normalized = current_normalized
    raw_existing = _normalize_root_model_keys(_normalize_max_turns_config(read_raw_config()))
    if raw_existing:
        normalized = _preserve_env_ref_templates(
            normalized,
            raw_existing,
            _LAST_EXPANDED_CONFIG_BY_PATH.get(str(config_path)),
        )

    # Build optional commented-out sections for features that are off by
    # default or only relevant when explicitly configured.
    parts = []
    sec = normalized.get("security", {})
    if not sec or sec.get("redact_secrets") is None:
        parts.append(_SECURITY_COMMENT)
    fb = normalized.get("fallback_model", {})
    fb_is_valid = False
    if isinstance(fb, list):
        fb_is_valid = any(isinstance(e, dict) and e.get("provider") and e.get("model") for e in fb)
    elif isinstance(fb, dict):
        fb_is_valid = bool(fb.get("provider") and fb.get("model"))
    if not fb_is_valid:
        parts.append(_FALLBACK_COMMENT)

    atomic_yaml_write(
        config_path,
        normalized,
        extra_content="".join(parts) if parts else None,
    )
    _secure_file(config_path)
    _LAST_EXPANDED_CONFIG_BY_PATH[str(config_path)] = copy.deepcopy(current_normalized)


def load_env() -> Dict[str, str]:
    """Load environment variables from ~/.hermes/.env.

    Sanitizes lines before parsing so that corrupted files (e.g.
    concatenated KEY=VALUE pairs on a single line) are handled
    gracefully instead of producing mangled values such as duplicated
    bot tokens.  See #8908.
    """
    env_path = get_env_path()
    env_vars = {}
    
    if env_path.exists():
        # On Windows, open() defaults to the system locale (cp1252) which can
        # fail on UTF-8 .env files. Use explicit UTF-8 only on Windows.
        open_kw = {"encoding": "utf-8", "errors": "replace"} if _IS_WINDOWS else {}
        with open(env_path, **open_kw) as f:
            raw_lines = f.readlines()
        # Sanitize before parsing: split concatenated lines & drop stale
        # placeholders so corrupted .env files don't produce invalid tokens.
        lines = _sanitize_env_lines(raw_lines)
        for line in lines:
            line = line.strip()
            if line and not line.startswith('#') and '=' in line:
                key, _, value = line.partition('=')
                env_vars[key.strip()] = value.strip().strip('"\'')
    
    return env_vars


def _sanitize_env_lines(lines: list) -> list:
    """Fix corrupted .env lines before reading or writing.

    Handles two known corruption patterns:
    1. Concatenated KEY=VALUE pairs on a single line (missing newline between
       entries, e.g. ``ANTHROPIC_API_KEY=sk-...OPENAI_BASE_URL=https://...``).
    2. Stale ``KEY=***`` placeholder entries left by incomplete setup runs.

    Uses a known-keys set (OPTIONAL_ENV_VARS + _EXTRA_ENV_KEYS) so we only
    split on real Hermes env var names, avoiding false positives from values
    that happen to contain uppercase text with ``=``.
    """
    # Build the known keys set lazily from OPTIONAL_ENV_VARS + extras.
    # Done inside the function so OPTIONAL_ENV_VARS is guaranteed to be defined.
    known_keys = set(OPTIONAL_ENV_VARS.keys()) | _EXTRA_ENV_KEYS

    sanitized: list[str] = []
    for line in lines:
        raw = line.rstrip("\r\n")
        stripped = raw.strip()

        # Preserve blank lines and comments
        if not stripped or stripped.startswith("#"):
            sanitized.append(raw + "\n")
            continue

        # Detect concatenated KEY=VALUE pairs on one line.
        # Search for known KEY= patterns at any position in the line.
        # We collect full needle ranges so we can drop matches that are
        # fully contained within a longer overlapping needle. Without this,
        # suffix collisions corrupt the file: e.g. LM_API_KEY= inside
        # GLM_API_KEY= would otherwise split the line into "G\nLM_API_KEY=...".
        match_ranges: list[tuple[int, int]] = []
        for key_name in known_keys:
            needle = key_name + "="
            idx = stripped.find(needle)
            while idx >= 0:
                match_ranges.append((idx, idx + len(needle)))
                idx = stripped.find(needle, idx + len(needle))

        split_positions = sorted({
            s for s, e in match_ranges
            if not any(
                s2 <= s and e2 >= e and (s2, e2) != (s, e)
                for s2, e2 in match_ranges
            )
        })

        if len(split_positions) > 1:
            for i, pos in enumerate(split_positions):
                end = split_positions[i + 1] if i + 1 < len(split_positions) else len(stripped)
                part = stripped[pos:end].strip()
                if part:
                    sanitized.append(part + "\n")
        else:
            sanitized.append(stripped + "\n")

    return sanitized


def sanitize_env_file() -> int:
    """Read, sanitize, and rewrite ~/.hermes/.env in place.

    Returns the number of lines that were fixed (concatenation splits +
    placeholder removals).  Returns 0 when no changes are needed.
    """
    env_path = get_env_path()
    if not env_path.exists():
        return 0

    read_kw = {"encoding": "utf-8", "errors": "replace"} if _IS_WINDOWS else {}
    write_kw = {"encoding": "utf-8"} if _IS_WINDOWS else {}

    with open(env_path, **read_kw) as f:
        original_lines = f.readlines()

    sanitized = _sanitize_env_lines(original_lines)

    if sanitized == original_lines:
        return 0

    # Count fixes: difference in line count (from splits) + removed lines
    fixes = abs(len(sanitized) - len(original_lines))
    if fixes == 0:
        # Lines changed content (e.g. *** removal) even if count is same
        fixes = sum(1 for a, b in zip(original_lines, sanitized) if a != b)
        fixes += abs(len(sanitized) - len(original_lines))

    fd, tmp_path = tempfile.mkstemp(dir=str(env_path.parent), suffix=".tmp", prefix=".env_")
    try:
        with os.fdopen(fd, "w", **write_kw) as f:
            f.writelines(sanitized)
            f.flush()
            os.fsync(f.fileno())
        atomic_replace(tmp_path, env_path)
    except BaseException:
        try:
            os.unlink(tmp_path)
        except OSError:
            pass
        raise
    _secure_file(env_path)
    return fixes


def _check_non_ascii_credential(key: str, value: str) -> str:
    """Warn and strip non-ASCII characters from credential values.

    API keys and tokens must be pure ASCII — they are sent as HTTP header
    values which httpx/httpcore encode as ASCII.  Non-ASCII characters
    (commonly introduced by copy-pasting from rich-text editors or PDFs
    that substitute lookalike Unicode glyphs for ASCII letters) cause
    ``UnicodeEncodeError: 'ascii' codec can't encode character`` at
    request time.

    Returns the sanitized (ASCII-only) value.  Prints a warning if any
    non-ASCII characters were found and removed.
    """
    try:
        value.encode("ascii")
        return value  # all ASCII — nothing to do
    except UnicodeEncodeError:
        pass

    # Build a readable list of the offending characters
    bad_chars: list[str] = []
    for i, ch in enumerate(value):
        if ord(ch) > 127:
            bad_chars.append(f"  position {i}: {ch!r} (U+{ord(ch):04X})")
    sanitized = value.encode("ascii", errors="ignore").decode("ascii")

    print(
        f"\n  Warning: {key} contains non-ASCII characters that will break API requests.\n"
        f"  This usually happens when copy-pasting from a PDF, rich-text editor,\n"
        f"  or web page that substitutes lookalike Unicode glyphs for ASCII letters.\n"
        f"\n"
        + "\n".join(f"  {line}" for line in bad_chars[:5])
        + ("\n  ... and more" if len(bad_chars) > 5 else "")
        + f"\n\n  The non-ASCII characters have been stripped automatically.\n"
        f"  If authentication fails, re-copy the key from the provider's dashboard.\n",
        file=sys.stderr,
    )
    return sanitized


def save_env_value(key: str, value: str):
    """Save or update a value in ~/.hermes/.env."""
    if is_managed():
        managed_error(f"set {key}")
        return
    if not _ENV_VAR_NAME_RE.match(key):
        raise ValueError(f"Invalid environment variable name: {key!r}")
    value = value.replace("\n", "").replace("\r", "")
    # API keys / tokens must be ASCII — strip non-ASCII with a warning.
    value = _check_non_ascii_credential(key, value)
    ensure_hermes_home()
    env_path = get_env_path()

    # On Windows, open() defaults to the system locale (cp1252) which can
    # cause OSError errno 22 on UTF-8 .env files.
    read_kw = {"encoding": "utf-8", "errors": "replace"} if _IS_WINDOWS else {}
    write_kw = {"encoding": "utf-8"} if _IS_WINDOWS else {}

    lines = []
    if env_path.exists():
        with open(env_path, **read_kw) as f:
            lines = f.readlines()
        # Sanitize on every read: split concatenated keys, drop stale placeholders
        lines = _sanitize_env_lines(lines)

    # Find and update or append
    found = False
    for i, line in enumerate(lines):
        if line.strip().startswith(f"{key}="):
            lines[i] = f"{key}={value}\n"
            found = True
            break

    if not found:
        # Ensure there's a newline at the end of the file before appending
        if lines and not lines[-1].endswith("\n"):
            lines[-1] += "\n"
        lines.append(f"{key}={value}\n")
    
    fd, tmp_path = tempfile.mkstemp(dir=str(env_path.parent), suffix='.tmp', prefix='.env_')
    # Preserve original permissions so Docker volume mounts aren't clobbered.
    original_mode = None
    if env_path.exists():
        try:
            original_mode = stat.S_IMODE(env_path.stat().st_mode)
        except OSError:
            pass
    try:
        with os.fdopen(fd, 'w', **write_kw) as f:
            f.writelines(lines)
            f.flush()
            os.fsync(f.fileno())
        atomic_replace(tmp_path, env_path)
        # Restore original permissions before _secure_file may tighten them.
        if original_mode is not None:
            try:
                os.chmod(env_path, original_mode)
            except OSError:
                pass
    except BaseException:
        try:
            os.unlink(tmp_path)
        except OSError:
            pass
        raise
    _secure_file(env_path)

    os.environ[key] = value


def remove_env_value(key: str) -> bool:
    """Remove a key from ~/.hermes/.env and os.environ.

    Returns True if the key was found and removed, False otherwise.
    """
    if is_managed():
        managed_error(f"remove {key}")
        return False
    if not _ENV_VAR_NAME_RE.match(key):
        raise ValueError(f"Invalid environment variable name: {key!r}")
    env_path = get_env_path()
    if not env_path.exists():
        os.environ.pop(key, None)
        return False

    read_kw = {"encoding": "utf-8", "errors": "replace"} if _IS_WINDOWS else {}
    write_kw = {"encoding": "utf-8"} if _IS_WINDOWS else {}

    with open(env_path, **read_kw) as f:
        lines = f.readlines()
    lines = _sanitize_env_lines(lines)

    new_lines = [line for line in lines if not line.strip().startswith(f"{key}=")]
    found = len(new_lines) < len(lines)

    if found:
        fd, tmp_path = tempfile.mkstemp(dir=str(env_path.parent), suffix='.tmp', prefix='.env_')
        # Preserve original permissions so Docker volume mounts aren't clobbered.
        original_mode = None
        try:
            original_mode = stat.S_IMODE(env_path.stat().st_mode)
        except OSError:
            pass
        try:
            with os.fdopen(fd, 'w', **write_kw) as f:
                f.writelines(new_lines)
                f.flush()
                os.fsync(f.fileno())
            atomic_replace(tmp_path, env_path)
            if original_mode is not None:
                try:
                    os.chmod(env_path, original_mode)
                except OSError:
                    pass
        except BaseException:
            try:
                os.unlink(tmp_path)
            except OSError:
                pass
            raise
        _secure_file(env_path)

    os.environ.pop(key, None)
    return found


def save_anthropic_oauth_token(value: str, save_fn=None):
    """Persist an Anthropic OAuth/setup token and clear the API-key slot."""
    writer = save_fn or save_env_value
    writer("ANTHROPIC_TOKEN", value)
    writer("ANTHROPIC_API_KEY", "")


def use_anthropic_claude_code_credentials(save_fn=None):
    """Use Claude Code's own credential files instead of persisting env tokens."""
    writer = save_fn or save_env_value
    writer("ANTHROPIC_TOKEN", "")
    writer("ANTHROPIC_API_KEY", "")


def save_anthropic_api_key(value: str, save_fn=None):
    """Persist an Anthropic API key and clear the OAuth/setup-token slot."""
    writer = save_fn or save_env_value
    writer("ANTHROPIC_API_KEY", value)
    writer("ANTHROPIC_TOKEN", "")


def save_env_value_secure(key: str, value: str) -> Dict[str, Any]:
    save_env_value(key, value)
    return {
        "success": True,
        "stored_as": key,
        "validated": False,
    }



def reload_env() -> int:
    """Re-read ~/.hermes/.env into os.environ. Returns count of vars updated.

    Adds/updates vars that changed and removes vars that were deleted from
    the .env file (but only vars known to Hermes — OPTIONAL_ENV_VARS and
    _EXTRA_ENV_KEYS — to avoid clobbering unrelated environment).
    """
    env_vars = load_env()
    known_keys = set(OPTIONAL_ENV_VARS.keys()) | _EXTRA_ENV_KEYS
    count = 0
    for key, value in env_vars.items():
        if os.environ.get(key) != value:
            os.environ[key] = value
            count += 1
    # Remove known Hermes vars that are no longer in .env
    for key in known_keys:
        if key not in env_vars and key in os.environ:
            del os.environ[key]
            count += 1
    return count


def get_env_value(key: str) -> Optional[str]:
    """Get a value from ~/.hermes/.env or environment."""
    # Check environment first
    if key in os.environ:
        return os.environ[key]
    
    # Then check .env file
    env_vars = load_env()
    return env_vars.get(key)


# =============================================================================
# Config display
# =============================================================================

def redact_key(key: str) -> str:
    """Redact an API key for display.

    Thin wrapper over :func:`agent.redact.mask_secret` — preserves the
    "(not set)" placeholder in dim color for the empty case.
    """
    from agent.redact import mask_secret
    return mask_secret(key, empty=color("(not set)", Colors.DIM))


def show_config():
    """Display current configuration."""
    config = load_config()
    
    print()
    print(color("┌─────────────────────────────────────────────────────────┐", Colors.CYAN))
    print(color("│              ⚕ Hermes Configuration                    │", Colors.CYAN))
    print(color("└─────────────────────────────────────────────────────────┘", Colors.CYAN))
    
    # Paths
    print()
    print(color("◆ Paths", Colors.CYAN, Colors.BOLD))
    print(f"  Config:       {get_config_path()}")
    print(f"  Secrets:      {get_env_path()}")
    print(f"  Install:      {get_project_root()}")
    
    # API Keys
    print()
    print(color("◆ API Keys", Colors.CYAN, Colors.BOLD))
    
    keys = [
        ("OPENROUTER_API_KEY", "OpenRouter"),
        ("VOICE_TOOLS_OPENAI_KEY", "OpenAI (STT/TTS)"),
        ("EXA_API_KEY", "Exa"),
        ("PARALLEL_API_KEY", "Parallel"),
        ("FIRECRAWL_API_KEY", "Firecrawl"),
        ("TAVILY_API_KEY", "Tavily"),
        ("BROWSERBASE_API_KEY", "Browserbase"),
        ("BROWSER_USE_API_KEY", "Browser Use"),
        ("FAL_KEY", "FAL"),
    ]
    
    for env_key, name in keys:
        value = get_env_value(env_key)
        print(f"  {name:<14} {redact_key(value)}")
    from hermes_cli.auth import get_anthropic_key
    anthropic_value = get_anthropic_key()
    print(f"  {'Anthropic':<14} {redact_key(anthropic_value)}")
    
    # Model settings
    print()
    print(color("◆ Model", Colors.CYAN, Colors.BOLD))
    print(f"  Model:        {config.get('model', 'not set')}")
    print(f"  Max turns:    {config.get('agent', {}).get('max_turns', DEFAULT_CONFIG['agent']['max_turns'])}")
    
    # Display
    print()
    print(color("◆ Display", Colors.CYAN, Colors.BOLD))
    display = config.get('display', {})
    print(f"  Personality:  {display.get('personality', 'kawaii')}")
    print(f"  Reasoning:    {'on' if display.get('show_reasoning', False) else 'off'}")
    print(f"  Bell:         {'on' if display.get('bell_on_complete', False) else 'off'}")
    ump = display.get('user_message_preview', {}) if isinstance(display.get('user_message_preview', {}), dict) else {}
    ump_first = ump.get('first_lines', 2)
    ump_last = ump.get('last_lines', 2)
    print(f"  User preview: first {ump_first} line(s), last {ump_last} line(s)")

    # Terminal
    print()
    print(color("◆ Terminal", Colors.CYAN, Colors.BOLD))
    terminal = config.get('terminal', {})
    print(f"  Backend:      {terminal.get('backend', 'local')}")
    print(f"  Working dir:  {terminal.get('cwd', '.')}")
    print(f"  Timeout:      {terminal.get('timeout', 60)}s")
    
    if terminal.get('backend') == 'docker':
        print(f"  Docker image: {terminal.get('docker_image', 'nikolaik/python-nodejs:python3.11-nodejs20')}")
    elif terminal.get('backend') == 'singularity':
        print(f"  Image:        {terminal.get('singularity_image', 'docker://nikolaik/python-nodejs:python3.11-nodejs20')}")
    elif terminal.get('backend') == 'modal':
        print(f"  Modal image:  {terminal.get('modal_image', 'nikolaik/python-nodejs:python3.11-nodejs20')}")
        modal_token = get_env_value('MODAL_TOKEN_ID')
        print(f"  Modal token:  {'configured' if modal_token else '(not set)'}")
    elif terminal.get('backend') == 'daytona':
        print(f"  Daytona image: {terminal.get('daytona_image', 'nikolaik/python-nodejs:python3.11-nodejs20')}")
        daytona_key = get_env_value('DAYTONA_API_KEY')
        print(f"  API key:      {'configured' if daytona_key else '(not set)'}")
    elif terminal.get('backend') == 'vercel_sandbox':
        print(f"  Vercel runtime: {terminal.get('vercel_runtime', 'node24')}")
        print(f"  Vercel auth:    {'configured' if get_env_value('VERCEL_OIDC_TOKEN') or (get_env_value('VERCEL_TOKEN') and get_env_value('VERCEL_PROJECT_ID') and get_env_value('VERCEL_TEAM_ID')) else '(not set)'}")
    elif terminal.get('backend') == 'ssh':
        ssh_host = get_env_value('TERMINAL_SSH_HOST')
        ssh_user = get_env_value('TERMINAL_SSH_USER')
        print(f"  SSH host:     {ssh_host or '(not set)'}")
        print(f"  SSH user:     {ssh_user or '(not set)'}")
    
    # Timezone
    print()
    print(color("◆ Timezone", Colors.CYAN, Colors.BOLD))
    tz = config.get('timezone', '')
    if tz:
        print(f"  Timezone:     {tz}")
    else:
        print(f"  Timezone:     {color('(server-local)', Colors.DIM)}")

    # Compression
    print()
    print(color("◆ Context Compression", Colors.CYAN, Colors.BOLD))
    compression = config.get('compression', {})
    enabled = compression.get('enabled', True)
    print(f"  Enabled:      {'yes' if enabled else 'no'}")
    if enabled:
        print(f"  Threshold:    {compression.get('threshold', 0.50) * 100:.0f}%")
        print(f"  Target ratio: {compression.get('target_ratio', 0.20) * 100:.0f}% of threshold preserved")
        print(f"  Protect last: {compression.get('protect_last_n', 20)} messages")
        _aux_comp = config.get('auxiliary', {}).get('compression', {})
        _sm = _aux_comp.get('model', '') or '(auto)'
        print(f"  Model:        {_sm}")
        comp_provider = _aux_comp.get('provider', 'auto')
        if comp_provider and comp_provider != 'auto':
            print(f"  Provider:     {comp_provider}")
    
    # Auxiliary models
    auxiliary = config.get('auxiliary', {})
    aux_tasks = {
        "Vision":      auxiliary.get('vision', {}),
        "Web extract": auxiliary.get('web_extract', {}),
    }
    has_overrides = any(
        t.get('provider', 'auto') != 'auto' or t.get('model', '')
        for t in aux_tasks.values()
    )
    if has_overrides:
        print()
        print(color("◆ Auxiliary Models (overrides)", Colors.CYAN, Colors.BOLD))
        for label, task_cfg in aux_tasks.items():
            prov = task_cfg.get('provider', 'auto')
            mdl = task_cfg.get('model', '')
            if prov != 'auto' or mdl:
                parts = [f"provider={prov}"]
                if mdl:
                    parts.append(f"model={mdl}")
                print(f"  {label:12s}  {', '.join(parts)}")
    
    # Messaging
    print()
    print(color("◆ Messaging Platforms", Colors.CYAN, Colors.BOLD))
    
    telegram_token = get_env_value('TELEGRAM_BOT_TOKEN')
    discord_token = get_env_value('DISCORD_BOT_TOKEN')
    
    print(f"  Telegram:     {'configured' if telegram_token else color('not configured', Colors.DIM)}")
    print(f"  Discord:      {'configured' if discord_token else color('not configured', Colors.DIM)}")
    
    # Skill config
    try:
        from agent.skill_utils import discover_all_skill_config_vars, resolve_skill_config_values
        skill_vars = discover_all_skill_config_vars()
        if skill_vars:
            resolved = resolve_skill_config_values(skill_vars)
            print()
            print(color("◆ Skill Settings", Colors.CYAN, Colors.BOLD))
            for var in skill_vars:
                key = var["key"]
                value = resolved.get(key, "")
                skill_name = var.get("skill", "")
                display_val = str(value) if value else color("(not set)", Colors.DIM)
                print(f"  {key:<20s} {display_val}  {color(f'[{skill_name}]', Colors.DIM)}")
    except Exception:
        pass

    print()
    print(color("─" * 60, Colors.DIM))
    print(color("  hermes config edit     # Edit config file", Colors.DIM))
    print(color("  hermes config set <key> <value>", Colors.DIM))
    print(color("  hermes setup           # Run setup wizard", Colors.DIM))
    print()


def edit_config():
    """Open config file in user's editor."""
    if is_managed():
        managed_error("edit configuration")
        return
    config_path = get_config_path()
    
    # Ensure config exists
    if not config_path.exists():
        save_config(DEFAULT_CONFIG)
        print(f"Created {config_path}")
    
    # Find editor
    editor = os.getenv('EDITOR') or os.getenv('VISUAL')
    
    if not editor:
        # Try common editors
        for cmd in ['nano', 'vim', 'vi', 'code', 'notepad']:
            import shutil
            if shutil.which(cmd):
                editor = cmd
                break
    
    if not editor:
        print("No editor found. Config file is at:")
        print(f"  {config_path}")
        return
    
    print(f"Opening {config_path} in {editor}...")
    subprocess.run([editor, str(config_path)])


def set_config_value(key: str, value: str):
    """Set a configuration value."""
    if is_managed():
        managed_error("set configuration values")
        return
    # Check if it's an API key (goes to .env)
    api_keys = [
        'OPENROUTER_API_KEY', 'OPENAI_API_KEY', 'ANTHROPIC_API_KEY', 'VOICE_TOOLS_OPENAI_KEY',
        'EXA_API_KEY', 'PARALLEL_API_KEY', 'FIRECRAWL_API_KEY', 'FIRECRAWL_API_URL',
        'FIRECRAWL_GATEWAY_URL', 'TOOL_GATEWAY_DOMAIN', 'TOOL_GATEWAY_SCHEME',
        'TOOL_GATEWAY_USER_TOKEN', 'TAVILY_API_KEY',
        'BROWSERBASE_API_KEY', 'BROWSERBASE_PROJECT_ID', 'BROWSER_USE_API_KEY',
        'FAL_KEY', 'TELEGRAM_BOT_TOKEN', 'DISCORD_BOT_TOKEN',
        'TERMINAL_SSH_HOST', 'TERMINAL_SSH_USER', 'TERMINAL_SSH_KEY',
        'SUDO_PASSWORD', 'SLACK_BOT_TOKEN', 'SLACK_APP_TOKEN',
        'GITHUB_TOKEN', 'HONCHO_API_KEY', 'WANDB_API_KEY',
        'TINKER_API_KEY',
    ]
    
    if key.upper() in api_keys or key.upper().endswith(('_API_KEY', '_TOKEN')) or key.upper().startswith('TERMINAL_SSH'):
        save_env_value(key.upper(), value)
        print(f"✓ Set {key} in {get_env_path()}")
        return
    
    # Otherwise it goes to config.yaml
    # Read the raw user config (not merged with defaults) to avoid
    # dumping all default values back to the file
    config_path = get_config_path()
    user_config = {}
    if config_path.exists():
        try:
            with open(config_path, encoding="utf-8") as f:
                user_config = yaml.safe_load(f) or {}
        except Exception:
            user_config = {}
    
    # Handle nested keys (e.g., "tts.provider") including numeric list
    # indices (e.g., "custom_providers.0.api_key").  Delegates to
    # _set_nested which preserves list-typed nodes; before #17876 the
    # inline navigation here silently overwrote lists with dicts.

    # Convert value to appropriate type
    if value.lower() in ('true', 'yes', 'on'):
        value = True
    elif value.lower() in ('false', 'no', 'off'):
        value = False
    elif value.isdigit():
        value = int(value)
    elif value.replace('.', '', 1).isdigit():
        value = float(value)

    _set_nested(user_config, key, value)
    
    # Write only user config back (not the full merged defaults)
    ensure_hermes_home()
    from utils import atomic_yaml_write
    atomic_yaml_write(config_path, user_config, sort_keys=False)
    
    # Keep .env in sync for keys that terminal_tool reads directly from env vars.
    # config.yaml is authoritative, but terminal_tool only reads TERMINAL_ENV etc.
    _config_to_env_sync = {
        "terminal.backend": "TERMINAL_ENV",
        "terminal.modal_mode": "TERMINAL_MODAL_MODE",
        "terminal.docker_image": "TERMINAL_DOCKER_IMAGE",
        "terminal.singularity_image": "TERMINAL_SINGULARITY_IMAGE",
        "terminal.modal_image": "TERMINAL_MODAL_IMAGE",
        "terminal.daytona_image": "TERMINAL_DAYTONA_IMAGE",
        "terminal.vercel_runtime": "TERMINAL_VERCEL_RUNTIME",
        "terminal.docker_mount_cwd_to_workspace": "TERMINAL_DOCKER_MOUNT_CWD_TO_WORKSPACE",
        "terminal.docker_run_as_host_user": "TERMINAL_DOCKER_RUN_AS_HOST_USER",
        "terminal.cwd": "TERMINAL_CWD",
        "terminal.timeout": "TERMINAL_TIMEOUT",
        "terminal.sandbox_dir": "TERMINAL_SANDBOX_DIR",
        "terminal.persistent_shell": "TERMINAL_PERSISTENT_SHELL",
        "terminal.container_cpu": "TERMINAL_CONTAINER_CPU",
        "terminal.container_memory": "TERMINAL_CONTAINER_MEMORY",
        "terminal.container_disk": "TERMINAL_CONTAINER_DISK",
        "terminal.container_persistent": "TERMINAL_CONTAINER_PERSISTENT",
    }
    if key in _config_to_env_sync:
        save_env_value(_config_to_env_sync[key], str(value))

    print(f"✓ Set {key} = {value} in {config_path}")


# =============================================================================
# Command handler
# =============================================================================

def config_command(args):
    """Handle config subcommands."""
    subcmd = getattr(args, 'config_command', None)
    
    if subcmd is None or subcmd == "show":
        show_config()
    
    elif subcmd == "edit":
        edit_config()
    
    elif subcmd == "set":
        key = getattr(args, 'key', None)
        value = getattr(args, 'value', None)
        if not key or value is None:
            print("Usage: hermes config set <key> <value>")
            print()
            print("Examples:")
            print("  hermes config set model anthropic/claude-sonnet-4")
            print("  hermes config set terminal.backend docker")
            print("  hermes config set OPENROUTER_API_KEY sk-or-...")
            sys.exit(1)
        set_config_value(key, value)
    
    elif subcmd == "path":
        print(get_config_path())
    
    elif subcmd == "env-path":
        print(get_env_path())
    
    elif subcmd == "migrate":
        print()
        print(color("🔄 Checking configuration for updates...", Colors.CYAN, Colors.BOLD))
        print()
        
        # Check what's missing
        missing_env = get_missing_env_vars(required_only=False)
        missing_config = get_missing_config_fields()
        current_ver, latest_ver = check_config_version()
        
        if not missing_env and not missing_config and current_ver >= latest_ver:
            print(color("✓ Configuration is up to date!", Colors.GREEN))
            print()
            return
        
        # Show what needs to be updated
        if current_ver < latest_ver:
            print(f"  Config version: {current_ver} → {latest_ver}")
        
        if missing_config:
            print(f"\n  {len(missing_config)} new config option(s) will be added with defaults")
        
        required_missing = [v for v in missing_env if v.get("is_required")]
        optional_missing = [
            v for v in missing_env
            if not v.get("is_required") and not v.get("advanced")
        ]
        
        if required_missing:
            print(f"\n  ⚠️  {len(required_missing)} required API key(s) missing:")
            for var in required_missing:
                print(f"     • {var['name']}")
        
        if optional_missing:
            print(f"\n  ℹ️  {len(optional_missing)} optional API key(s) not configured:")
            for var in optional_missing:
                tools = var.get("tools", [])
                tools_str = f" (enables: {', '.join(tools[:2])})" if tools else ""
                print(f"     • {var['name']}{tools_str}")
        
        print()
        
        # Run migration
        results = migrate_config(interactive=True, quiet=False)
        
        print()
        if results["env_added"] or results["config_added"]:
            print(color("✓ Configuration updated!", Colors.GREEN))
        
        if results["warnings"]:
            print()
            for warning in results["warnings"]:
                print(color(f"  ⚠️  {warning}", Colors.YELLOW))
        
        print()
    
    elif subcmd == "check":
        # Non-interactive check for what's missing
        print()
        print(color("📋 Configuration Status", Colors.CYAN, Colors.BOLD))
        print()
        
        current_ver, latest_ver = check_config_version()
        if current_ver >= latest_ver:
            print(f"  Config version: {current_ver} ✓")
        else:
            print(color(f"  Config version: {current_ver} → {latest_ver} (update available)", Colors.YELLOW))
        
        print()
        print(color("  Required:", Colors.BOLD))
        for var_name in REQUIRED_ENV_VARS:
            if get_env_value(var_name):
                print(f"    ✓ {var_name}")
            else:
                print(color(f"    ✗ {var_name} (missing)", Colors.RED))
        
        print()
        print(color("  Optional:", Colors.BOLD))
        for var_name, info in OPTIONAL_ENV_VARS.items():
            if get_env_value(var_name):
                print(f"    ✓ {var_name}")
            else:
                tools = info.get("tools", [])
                tools_str = f" → {', '.join(tools[:2])}" if tools else ""
                print(color(f"    ○ {var_name}{tools_str}", Colors.DIM))
        
        missing_config = get_missing_config_fields()
        if missing_config:
            print()
            print(color(f"  {len(missing_config)} new config option(s) available", Colors.YELLOW))
            print("    Run 'hermes config migrate' to add them")
        
        print()
    
    else:
        print(f"Unknown config command: {subcmd}")
        print()
        print("Available commands:")
        print("  hermes config           Show current configuration")
        print("  hermes config edit      Open config in editor")
        print("  hermes config set <key> <value>   Set a config value")
        print("  hermes config check     Check for missing/outdated config")
        print("  hermes config migrate   Update config with new options")
        print("  hermes config path      Show config file path")
        print("  hermes config env-path  Show .env file path")
        sys.exit(1)
