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Author SHA1 Message Date
Teknium f6abafb257 fix(doctor): sync provider checks, add config migration, WAL and mem0 diagnostics
Provider coverage:
- Add 6 missing providers to _PROVIDER_ENV_HINTS (Nous, DeepSeek,
  DashScope, HF, OpenCode Zen/Go)
- Add 5 missing providers to API connectivity checks (DeepSeek,
  Hugging Face, Alibaba/DashScope, OpenCode Zen, OpenCode Go)

New diagnostics:
- Config version check — detects outdated config, --fix runs
  non-interactive migration automatically
- Stale root-level config keys — detects provider/base_url at root
  level (known bug source, PR #4329), --fix migrates them into
  the model section
- WAL file size check — warns on >50MB WAL files (indicates missed
  checkpoints from the duplicate close() bug), --fix runs PASSIVE
  checkpoint
- Mem0 memory plugin status — checks API key resolution including
  the env+json merge we just fixed
2026-04-04 10:20:10 -07:00
527 changed files with 5238 additions and 65835 deletions
-10
View File
@@ -14,16 +14,6 @@
# LLM_MODEL is no longer read from .env — this line is kept for reference only.
# LLM_MODEL=anthropic/claude-opus-4.6
# =============================================================================
# LLM PROVIDER (Google AI Studio / Gemini)
# =============================================================================
# Native Gemini API via Google's OpenAI-compatible endpoint.
# Get your key at: https://aistudio.google.com/app/apikey
# GOOGLE_API_KEY=your_google_ai_studio_key_here
# GEMINI_API_KEY=your_gemini_key_here # alias for GOOGLE_API_KEY
# Optional base URL override (default: Google's OpenAI-compatible endpoint)
# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
# =============================================================================
# LLM PROVIDER (z.ai / GLM)
# =============================================================================
-3
View File
@@ -19,9 +19,6 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
- name: Install system dependencies
run: sudo apt-get update && sudo apt-get install -y ripgrep
- name: Install uv
uses: astral-sh/setup-uv@v5
+1
View File
@@ -15,6 +15,7 @@ Usage::
import asyncio
import logging
import os
import sys
from pathlib import Path
from hermes_constants import get_hermes_home
+4 -8
View File
@@ -54,18 +54,14 @@ def make_tool_progress_cb(
Signature expected by AIAgent::
tool_progress_callback(event_type: str, name: str, preview: str, args: dict, **kwargs)
tool_progress_callback(name: str, preview: str, args: dict)
Emits ``ToolCallStart`` for ``tool.started`` events and tracks IDs in a FIFO
Emits ``ToolCallStart`` for each tool invocation and tracks IDs in a FIFO
queue per tool name so duplicate/parallel same-name calls still complete
against the correct ACP tool call. Other event types (``tool.completed``,
``reasoning.available``) are silently ignored.
against the correct ACP tool call.
"""
def _tool_progress(event_type: str, name: str = None, preview: str = None, args: Any = None, **kwargs) -> None:
# Only emit ACP ToolCallStart for tool.started; ignore other event types
if event_type != "tool.started":
return
def _tool_progress(name: str, preview: str, args: Any = None) -> None:
if isinstance(args, str):
try:
args = json.loads(args)
+16 -134
View File
@@ -12,8 +12,7 @@ import acp
from acp.schema import (
AgentCapabilities,
AuthenticateResponse,
AvailableCommand,
AvailableCommandsUpdate,
AuthMethod,
ClientCapabilities,
EmbeddedResourceContentBlock,
ForkSessionResponse,
@@ -38,16 +37,9 @@ from acp.schema import (
SessionListCapabilities,
SessionInfo,
TextContentBlock,
UnstructuredCommandInput,
Usage,
)
# AuthMethodAgent was renamed from AuthMethod in agent-client-protocol 0.9.0
try:
from acp.schema import AuthMethodAgent
except ImportError:
from acp.schema import AuthMethod as AuthMethodAgent # type: ignore[attr-defined]
from acp_adapter.auth import detect_provider, has_provider
from acp_adapter.events import (
make_message_cb,
@@ -92,48 +84,6 @@ def _extract_text(
class HermesACPAgent(acp.Agent):
"""ACP Agent implementation wrapping Hermes AIAgent."""
_SLASH_COMMANDS = {
"help": "Show available commands",
"model": "Show or change current model",
"tools": "List available tools",
"context": "Show conversation context info",
"reset": "Clear conversation history",
"compact": "Compress conversation context",
"version": "Show Hermes version",
}
_ADVERTISED_COMMANDS = (
{
"name": "help",
"description": "List available commands",
},
{
"name": "model",
"description": "Show current model and provider, or switch models",
"input_hint": "model name to switch to",
},
{
"name": "tools",
"description": "List available tools with descriptions",
},
{
"name": "context",
"description": "Show conversation message counts by role",
},
{
"name": "reset",
"description": "Clear conversation history",
},
{
"name": "compact",
"description": "Compress conversation context",
},
{
"name": "version",
"description": "Show Hermes version",
},
)
def __init__(self, session_manager: SessionManager | None = None):
super().__init__()
self.session_manager = session_manager or SessionManager()
@@ -227,7 +177,7 @@ class HermesACPAgent(acp.Agent):
auth_methods = None
if provider:
auth_methods = [
AuthMethodAgent(
AuthMethod(
id=provider,
name=f"{provider} runtime credentials",
description=f"Authenticate Hermes using the currently configured {provider} runtime credentials.",
@@ -269,7 +219,6 @@ class HermesACPAgent(acp.Agent):
state = self.session_manager.create_session(cwd=cwd)
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("New session %s (cwd=%s)", state.session_id, cwd)
self._schedule_available_commands_update(state.session_id)
return NewSessionResponse(session_id=state.session_id)
async def load_session(
@@ -285,7 +234,6 @@ class HermesACPAgent(acp.Agent):
return None
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("Loaded session %s", session_id)
self._schedule_available_commands_update(session_id)
return LoadSessionResponse()
async def resume_session(
@@ -301,7 +249,6 @@ class HermesACPAgent(acp.Agent):
state = self.session_manager.create_session(cwd=cwd)
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("Resumed session %s", state.session_id)
self._schedule_available_commands_update(state.session_id)
return ResumeSessionResponse()
async def cancel(self, session_id: str, **kwargs: Any) -> None:
@@ -327,8 +274,6 @@ class HermesACPAgent(acp.Agent):
if state is not None:
await self._register_session_mcp_servers(state, mcp_servers)
logger.info("Forked session %s -> %s", session_id, new_id)
if new_id:
self._schedule_available_commands_update(new_id)
return ForkSessionResponse(session_id=new_id)
async def list_sessions(
@@ -466,50 +411,15 @@ class HermesACPAgent(acp.Agent):
# ---- Slash commands (headless) -------------------------------------------
@classmethod
def _available_commands(cls) -> list[AvailableCommand]:
commands: list[AvailableCommand] = []
for spec in cls._ADVERTISED_COMMANDS:
input_hint = spec.get("input_hint")
commands.append(
AvailableCommand(
name=spec["name"],
description=spec["description"],
input=UnstructuredCommandInput(hint=input_hint)
if input_hint
else None,
)
)
return commands
async def _send_available_commands_update(self, session_id: str) -> None:
"""Advertise supported slash commands to the connected ACP client."""
if not self._conn:
return
try:
await self._conn.session_update(
session_id=session_id,
update=AvailableCommandsUpdate(
sessionUpdate="available_commands_update",
availableCommands=self._available_commands(),
),
)
except Exception:
logger.warning(
"Failed to advertise ACP slash commands for session %s",
session_id,
exc_info=True,
)
def _schedule_available_commands_update(self, session_id: str) -> None:
"""Send the command advertisement after the session response is queued."""
if not self._conn:
return
loop = asyncio.get_running_loop()
loop.call_soon(
asyncio.create_task, self._send_available_commands_update(session_id)
)
_SLASH_COMMANDS = {
"help": "Show available commands",
"model": "Show or change current model",
"tools": "List available tools",
"context": "Show conversation context info",
"reset": "Clear conversation history",
"compact": "Compress conversation context",
"version": "Show Hermes version",
}
def _handle_slash_command(self, text: str, state: SessionState) -> str | None:
"""Dispatch a slash command and return the response text.
@@ -629,39 +539,11 @@ class HermesACPAgent(acp.Agent):
return "Nothing to compress — conversation is empty."
try:
agent = state.agent
if not getattr(agent, "compression_enabled", True):
return "Context compression is disabled for this agent."
if not hasattr(agent, "_compress_context"):
return "Context compression not available for this agent."
from agent.model_metadata import estimate_messages_tokens_rough
original_count = len(state.history)
approx_tokens = estimate_messages_tokens_rough(state.history)
original_session_db = getattr(agent, "_session_db", None)
try:
# ACP sessions must keep a stable session id, so avoid the
# SQLite session-splitting side effect inside _compress_context.
agent._session_db = None
compressed, _ = agent._compress_context(
state.history,
getattr(agent, "_cached_system_prompt", "") or "",
approx_tokens=approx_tokens,
task_id=state.session_id,
)
finally:
agent._session_db = original_session_db
state.history = compressed
self.session_manager.save_session(state.session_id)
new_count = len(state.history)
new_tokens = estimate_messages_tokens_rough(state.history)
return (
f"Context compressed: {original_count} -> {new_count} messages\n"
f"~{approx_tokens:,} -> ~{new_tokens:,} tokens"
)
if hasattr(agent, "compress_context"):
agent.compress_context(state.history)
self.session_manager.save_session(state.session_id)
return f"Context compressed. Messages: {len(state.history)}"
return "Context compression not available for this agent."
except Exception as e:
return f"Compression failed: {e}"
+3 -17
View File
@@ -13,7 +13,6 @@ from hermes_constants import get_hermes_home
import copy
import json
import logging
import sys
import uuid
from dataclasses import dataclass, field
from threading import Lock
@@ -22,17 +21,6 @@ from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
def _acp_stderr_print(*args, **kwargs) -> None:
"""Best-effort human-readable output sink for ACP stdio sessions.
ACP reserves stdout for JSON-RPC frames, so any incidental CLI/status output
from AIAgent must be redirected away from stdout. Route it to stderr instead.
"""
kwargs = dict(kwargs)
kwargs.setdefault("file", sys.stderr)
print(*args, **kwargs)
def _register_task_cwd(task_id: str, cwd: str) -> None:
"""Bind a task/session id to the editor's working directory for tools."""
if not task_id:
@@ -262,6 +250,8 @@ class SessionManager:
if self._db_instance is not None:
return self._db_instance
try:
import os
from pathlib import Path
from hermes_state import SessionDB
hermes_home = get_hermes_home()
self._db_instance = SessionDB(db_path=hermes_home / "state.db")
@@ -468,8 +458,4 @@ class SessionManager:
logger.debug("ACP session falling back to default provider resolution", exc_info=True)
_register_task_cwd(session_id, cwd)
agent = AIAgent(**kwargs)
# ACP stdio transport requires stdout to remain protocol-only JSON-RPC.
# Route any incidental human-readable agent output to stderr instead.
agent._print_fn = _acp_stderr_print
return agent
return AIAgent(**kwargs)
+1
View File
@@ -39,6 +39,7 @@ TOOL_KIND_MAP: Dict[str, ToolKind] = {
"browser_scroll": "execute",
"browser_press": "execute",
"browser_back": "execute",
"browser_close": "execute",
"browser_get_images": "read",
# Agent internals
"delegate_task": "execute",
+88 -2
View File
@@ -188,7 +188,9 @@ def _requires_bearer_auth(base_url: str | None) -> bool:
if not base_url:
return False
normalized = base_url.rstrip("/").lower()
return normalized.startswith(("https://api.minimax.io/anthropic", "https://api.minimaxi.com/anthropic"))
return normalized.startswith("https://api.minimax.io/anthropic") or normalized.startswith(
"https://api.minimaxi.com/anthropic"
)
def build_anthropic_client(api_key: str, base_url: str = None):
@@ -706,6 +708,29 @@ def run_hermes_oauth_login_pure() -> Optional[Dict[str, Any]]:
}
def run_hermes_oauth_login() -> Optional[str]:
"""Run Hermes-native OAuth PKCE flow for Claude Pro/Max subscription.
Opens a browser to claude.ai for authorization, prompts for the code,
exchanges it for tokens, and stores them in ~/.hermes/.anthropic_oauth.json.
Returns the access token on success, None on failure.
"""
result = run_hermes_oauth_login_pure()
if not result:
return None
access_token = result["access_token"]
refresh_token = result["refresh_token"]
expires_at_ms = result["expires_at_ms"]
_save_hermes_oauth_credentials(access_token, refresh_token, expires_at_ms)
_write_claude_code_credentials(access_token, refresh_token, expires_at_ms)
print("Authentication successful!")
return access_token
def _save_hermes_oauth_credentials(access_token: str, refresh_token: str, expires_at_ms: int) -> None:
"""Save OAuth credentials to ~/.hermes/.anthropic_oauth.json."""
data = {
@@ -733,6 +758,38 @@ def read_hermes_oauth_credentials() -> Optional[Dict[str, Any]]:
return None
def refresh_hermes_oauth_token() -> Optional[str]:
"""Refresh the Hermes-managed OAuth token using the stored refresh token.
Returns the new access token, or None if refresh fails.
"""
creds = read_hermes_oauth_credentials()
if not creds or not creds.get("refreshToken"):
return None
try:
refreshed = refresh_anthropic_oauth_pure(
creds["refreshToken"],
use_json=True,
)
_save_hermes_oauth_credentials(
refreshed["access_token"],
refreshed["refresh_token"],
refreshed["expires_at_ms"],
)
_write_claude_code_credentials(
refreshed["access_token"],
refreshed["refresh_token"],
refreshed["expires_at_ms"],
)
logger.debug("Successfully refreshed Hermes OAuth token")
return refreshed["access_token"]
except Exception as e:
logger.debug("Failed to refresh Hermes OAuth token: %s", e)
return None
# ---------------------------------------------------------------------------
# Message / tool / response format conversion
# ---------------------------------------------------------------------------
@@ -790,7 +847,7 @@ def _convert_openai_image_part_to_anthropic(part: Dict[str, Any]) -> Optional[Di
},
}
if url.startswith(("http://", "https://")):
if url.startswith("http://") or url.startswith("https://"):
return {
"type": "image",
"source": {
@@ -802,6 +859,35 @@ def _convert_openai_image_part_to_anthropic(part: Dict[str, Any]) -> Optional[Di
return None
def _convert_user_content_part_to_anthropic(part: Any) -> Optional[Dict[str, Any]]:
if isinstance(part, dict):
ptype = part.get("type")
if ptype == "text":
block = {"type": "text", "text": part.get("text", "")}
if isinstance(part.get("cache_control"), dict):
block["cache_control"] = dict(part["cache_control"])
return block
if ptype == "image_url":
return _convert_openai_image_part_to_anthropic(part)
if ptype == "image" and part.get("source"):
return dict(part)
if ptype == "image" and part.get("data"):
media_type = part.get("mimeType") or part.get("media_type") or "image/png"
return {
"type": "image",
"source": {
"type": "base64",
"media_type": media_type,
"data": part.get("data", ""),
},
}
if ptype == "tool_result":
return dict(part)
elif part is not None:
return {"type": "text", "text": str(part)}
return None
def convert_tools_to_anthropic(tools: List[Dict]) -> List[Dict]:
"""Convert OpenAI tool definitions to Anthropic format."""
if not tools:
+24 -237
View File
@@ -34,12 +34,6 @@ than the provider's default.
Per-task direct endpoint overrides (e.g. AUXILIARY_VISION_BASE_URL,
AUXILIARY_VISION_API_KEY) let callers route a specific auxiliary task to a
custom OpenAI-compatible endpoint without touching the main model settings.
Payment / credit exhaustion fallback:
When a resolved provider returns HTTP 402 or a credit-related error,
call_llm() automatically retries with the next available provider in the
auto-detection chain. This handles the common case where a user depletes
their OpenRouter balance but has Codex OAuth or another provider available.
"""
import json
@@ -61,7 +55,6 @@ logger = logging.getLogger(__name__)
# Default auxiliary models for direct API-key providers (cheap/fast for side tasks)
_API_KEY_PROVIDER_AUX_MODELS: Dict[str, str] = {
"gemini": "gemini-3-flash-preview",
"zai": "glm-4.5-flash",
"kimi-coding": "kimi-k2-turbo-preview",
"minimax": "MiniMax-M2.7-highspeed",
@@ -91,7 +84,6 @@ auxiliary_is_nous: bool = False
# Default auxiliary models per provider
_OPENROUTER_MODEL = "google/gemini-3-flash-preview"
_NOUS_MODEL = "google/gemini-3-flash-preview"
_NOUS_FREE_TIER_VISION_MODEL = "xiaomi/mimo-v2-omni"
_NOUS_DEFAULT_BASE_URL = "https://inference-api.nousresearch.com/v1"
_ANTHROPIC_DEFAULT_BASE_URL = "https://api.anthropic.com"
_AUTH_JSON_PATH = get_hermes_home() / "auth.json"
@@ -209,6 +201,7 @@ class _CodexCompletionsAdapter:
def create(self, **kwargs) -> Any:
messages = kwargs.get("messages", [])
model = kwargs.get("model", self._model)
temperature = kwargs.get("temperature")
# Separate system/instructions from conversation messages.
# Convert chat.completions multimodal content blocks to Responses
@@ -260,73 +253,26 @@ class _CodexCompletionsAdapter:
usage = None
try:
# Collect output items and text deltas during streaming —
# the Codex backend can return empty response.output from
# get_final_response() even when items were streamed.
collected_output_items: List[Any] = []
collected_text_deltas: List[str] = []
has_function_calls = False
with self._client.responses.stream(**resp_kwargs) as stream:
for _event in stream:
_etype = getattr(_event, "type", "")
if _etype == "response.output_item.done":
_done = getattr(_event, "item", None)
if _done is not None:
collected_output_items.append(_done)
elif "output_text.delta" in _etype:
_delta = getattr(_event, "delta", "")
if _delta:
collected_text_deltas.append(_delta)
elif "function_call" in _etype:
has_function_calls = True
pass
final = stream.get_final_response()
# Backfill empty output from collected stream events
_output = getattr(final, "output", None)
if isinstance(_output, list) and not _output:
if collected_output_items:
final.output = list(collected_output_items)
logger.debug(
"Codex auxiliary: backfilled %d output items from stream events",
len(collected_output_items),
)
elif collected_text_deltas and not has_function_calls:
# Only synthesize text when no tool calls were streamed —
# a function_call response with incidental text should not
# be collapsed into a plain-text message.
assembled = "".join(collected_text_deltas)
final.output = [SimpleNamespace(
type="message", role="assistant", status="completed",
content=[SimpleNamespace(type="output_text", text=assembled)],
)]
logger.debug(
"Codex auxiliary: synthesized from %d deltas (%d chars)",
len(collected_text_deltas), len(assembled),
)
# Extract text and tool calls from the Responses output.
# Items may be SDK objects (attrs) or dicts (raw/fallback paths),
# so use a helper that handles both shapes.
def _item_get(obj: Any, key: str, default: Any = None) -> Any:
val = getattr(obj, key, None)
if val is None and isinstance(obj, dict):
val = obj.get(key, default)
return val if val is not None else default
# Extract text and tool calls from the Responses output
for item in getattr(final, "output", []):
item_type = _item_get(item, "type")
item_type = getattr(item, "type", None)
if item_type == "message":
for part in (_item_get(item, "content") or []):
ptype = _item_get(part, "type")
for part in getattr(item, "content", []):
ptype = getattr(part, "type", None)
if ptype in ("output_text", "text"):
text_parts.append(_item_get(part, "text", ""))
text_parts.append(getattr(part, "text", ""))
elif item_type == "function_call":
tool_calls_raw.append(SimpleNamespace(
id=_item_get(item, "call_id", ""),
id=getattr(item, "call_id", ""),
type="function",
function=SimpleNamespace(
name=_item_get(item, "name", ""),
arguments=_item_get(item, "arguments", "{}"),
name=getattr(item, "name", ""),
arguments=getattr(item, "arguments", "{}"),
),
))
@@ -720,19 +666,7 @@ def _try_nous() -> Tuple[Optional[OpenAI], Optional[str]]:
global auxiliary_is_nous
auxiliary_is_nous = True
logger.debug("Auxiliary client: Nous Portal")
if nous.get("source") == "pool":
model = "gemini-3-flash"
else:
model = _NOUS_MODEL
# Free-tier users can't use paid auxiliary models — use the free
# multimodal model instead so vision/browser-vision still works.
try:
from hermes_cli.models import check_nous_free_tier
if check_nous_free_tier():
model = _NOUS_FREE_TIER_VISION_MODEL
logger.debug("Free-tier Nous account — using %s for auxiliary/vision", model)
except Exception:
pass
model = "gemini-3-flash" if nous.get("source") == "pool" else _NOUS_MODEL
return (
OpenAI(
api_key=_nous_api_key(nous),
@@ -763,25 +697,6 @@ def _read_main_model() -> str:
return ""
def _read_main_provider() -> str:
"""Read the user's configured main provider from config.yaml.
Returns the lowercase provider id (e.g. "alibaba", "openrouter") or ""
if not configured.
"""
try:
from hermes_cli.config import load_config
cfg = load_config()
model_cfg = cfg.get("model", {})
if isinstance(model_cfg, dict):
provider = model_cfg.get("provider", "")
if isinstance(provider, str) and provider.strip():
return provider.strip().lower()
except Exception:
pass
return ""
def _resolve_custom_runtime() -> Tuple[Optional[str], Optional[str]]:
"""Resolve the active custom/main endpoint the same way the main CLI does.
@@ -908,7 +823,7 @@ def _resolve_forced_provider(forced: str) -> Tuple[Optional[OpenAI], Optional[st
if forced == "nous":
client, model = _try_nous()
if client is None:
logger.warning("auxiliary.provider=nous but Nous Portal not configured (run: hermes auth)")
logger.warning("auxiliary.provider=nous but Nous Portal not configured (run: hermes login)")
return client, model
if forced == "codex":
@@ -939,118 +854,16 @@ _AUTO_PROVIDER_LABELS = {
"_resolve_api_key_provider": "api-key",
}
_AGGREGATOR_PROVIDERS = frozenset({"openrouter", "nous"})
def _get_provider_chain() -> List[tuple]:
"""Return the ordered provider detection chain.
Built at call time (not module level) so that test patches
on the ``_try_*`` functions are picked up correctly.
"""
return [
("openrouter", _try_openrouter),
("nous", _try_nous),
("local/custom", _try_custom_endpoint),
("openai-codex", _try_codex),
("api-key", _resolve_api_key_provider),
]
def _is_payment_error(exc: Exception) -> bool:
"""Detect payment/credit/quota exhaustion errors.
Returns True for HTTP 402 (Payment Required) and for 429/other errors
whose message indicates billing exhaustion rather than rate limiting.
"""
status = getattr(exc, "status_code", None)
if status == 402:
return True
err_lower = str(exc).lower()
# OpenRouter and other providers include "credits" or "afford" in 402 bodies,
# but sometimes wrap them in 429 or other codes.
if status in (402, 429, None):
if any(kw in err_lower for kw in ("credits", "insufficient funds",
"can only afford", "billing",
"payment required")):
return True
return False
def _try_payment_fallback(
failed_provider: str,
task: str = None,
) -> Tuple[Optional[Any], Optional[str], str]:
"""Try alternative providers after a payment/credit error.
Iterates the standard auto-detection chain, skipping the provider that
returned a payment error.
Returns:
(client, model, provider_label) or (None, None, "") if no fallback.
"""
# Normalise the failed provider label for matching.
skip = failed_provider.lower().strip()
# Also skip Step-1 main-provider path if it maps to the same backend.
# (e.g. main_provider="openrouter" → skip "openrouter" in chain)
main_provider = _read_main_provider()
skip_labels = {skip}
if main_provider and main_provider.lower() in skip:
skip_labels.add(main_provider.lower())
# Map common resolved_provider values back to chain labels.
_alias_to_label = {"openrouter": "openrouter", "nous": "nous",
"openai-codex": "openai-codex", "codex": "openai-codex",
"custom": "local/custom", "local/custom": "local/custom"}
skip_chain_labels = {_alias_to_label.get(s, s) for s in skip_labels}
tried = []
for label, try_fn in _get_provider_chain():
if label in skip_chain_labels:
continue
client, model = try_fn()
if client is not None:
logger.info(
"Auxiliary %s: payment error on %s — falling back to %s (%s)",
task or "call", failed_provider, label, model or "default",
)
return client, model, label
tried.append(label)
logger.warning(
"Auxiliary %s: payment error on %s and no fallback available (tried: %s)",
task or "call", failed_provider, ", ".join(tried),
)
return None, None, ""
def _resolve_auto() -> Tuple[Optional[OpenAI], Optional[str]]:
"""Full auto-detection chain.
Priority:
1. If the user's main provider is NOT an aggregator (OpenRouter / Nous),
use their main provider + main model directly. This ensures users on
Alibaba, DeepSeek, ZAI, etc. get auxiliary tasks handled by the same
provider they already have credentials for — no OpenRouter key needed.
2. OpenRouter → Nous → custom → Codex → API-key providers (original chain).
"""
"""Full auto-detection chain: OpenRouter → Nous → custom → Codex → API-key → None."""
global auxiliary_is_nous
auxiliary_is_nous = False # Reset — _try_nous() will set True if it wins
# ── Step 1: non-aggregator main provider → use main model directly ──
main_provider = _read_main_provider()
main_model = _read_main_model()
if (main_provider and main_model
and main_provider not in _AGGREGATOR_PROVIDERS
and main_provider not in ("auto", "custom", "")):
client, resolved = resolve_provider_client(main_provider, main_model)
if client is not None:
logger.info("Auxiliary auto-detect: using main provider %s (%s)",
main_provider, resolved or main_model)
return client, resolved or main_model
# ── Step 2: aggregator / fallback chain ──────────────────────────────
tried = []
for label, try_fn in _get_provider_chain():
for try_fn in (_try_openrouter, _try_nous, _try_custom_endpoint,
_try_codex, _resolve_api_key_provider):
fn_name = getattr(try_fn, "__name__", "unknown")
label = _AUTO_PROVIDER_LABELS.get(fn_name, fn_name)
client, model = try_fn()
if client is not None:
if tried:
@@ -1178,7 +991,7 @@ def resolve_provider_client(
client, default = _try_nous()
if client is None:
logger.warning("resolve_provider_client: nous requested "
"but Nous Portal not configured (run: hermes auth)")
"but Nous Portal not configured (run: hermes login)")
return None, None
final_model = model or default
return (_to_async_client(client, final_model) if async_mode
@@ -1928,15 +1741,12 @@ def call_llm(
f"was found. Set the {_explicit.upper()}_API_KEY environment "
f"variable, or switch to a different provider with `hermes model`."
)
# For auto/custom with no credentials, try the full auto chain
# rather than hardcoding OpenRouter (which may be depleted).
# Pass model=None so each provider uses its own default —
# resolved_model may be an OpenRouter-format slug that doesn't
# work on other providers.
# For auto/custom, fall back to OpenRouter
if not resolved_base_url:
logger.info("Auxiliary %s: provider %s unavailable, trying auto-detection chain",
logger.info("Auxiliary %s: provider %s unavailable, falling back to openrouter",
task or "call", resolved_provider)
client, final_model = _get_cached_client("auto")
client, final_model = _get_cached_client(
"openrouter", resolved_model or _OPENROUTER_MODEL)
if client is None:
raise RuntimeError(
f"No LLM provider configured for task={task} provider={resolved_provider}. "
@@ -1957,7 +1767,7 @@ def call_llm(
tools=tools, timeout=effective_timeout, extra_body=extra_body,
base_url=resolved_base_url)
# Handle max_tokens vs max_completion_tokens retry, then payment fallback.
# Handle max_tokens vs max_completion_tokens retry
try:
return client.chat.completions.create(**kwargs)
except Exception as first_err:
@@ -1965,30 +1775,7 @@ def call_llm(
if "max_tokens" in err_str or "unsupported_parameter" in err_str:
kwargs.pop("max_tokens", None)
kwargs["max_completion_tokens"] = max_tokens
try:
return client.chat.completions.create(**kwargs)
except Exception as retry_err:
# If the max_tokens retry also hits a payment error,
# fall through to the payment fallback below.
if not _is_payment_error(retry_err):
raise
first_err = retry_err
# ── Payment / credit exhaustion fallback ──────────────────────
# When the resolved provider returns 402 or a credit-related error,
# try alternative providers instead of giving up. This handles the
# common case where a user runs out of OpenRouter credits but has
# Codex OAuth or another provider available.
if _is_payment_error(first_err):
fb_client, fb_model, fb_label = _try_payment_fallback(
resolved_provider, task)
if fb_client is not None:
fb_kwargs = _build_call_kwargs(
fb_label, fb_model, messages,
temperature=temperature, max_tokens=max_tokens,
tools=tools, timeout=effective_timeout,
extra_body=extra_body)
return fb_client.chat.completions.create(**fb_kwargs)
return client.chat.completions.create(**kwargs)
raise
+2 -3
View File
@@ -13,10 +13,9 @@ from __future__ import annotations
import json
import logging
from typing import Any, Dict, List
from typing import Any, Dict, List, Optional
from agent.memory_provider import MemoryProvider
from tools.registry import tool_error
logger = logging.getLogger(__name__)
@@ -93,7 +92,7 @@ class BuiltinMemoryProvider(MemoryProvider):
def handle_tool_call(self, tool_name: str, args: Dict[str, Any], **kwargs) -> str:
"""Not used — the memory tool is intercepted in run_agent.py."""
return tool_error("Built-in memory tool is handled by the agent loop")
return json.dumps({"error": "Built-in memory tool is handled by the agent loop"})
def shutdown(self) -> None:
"""No cleanup needed — files are saved on every write."""
+4 -24
View File
@@ -14,7 +14,6 @@ Improvements over v1:
"""
import logging
import time
from typing import Any, Dict, List, Optional
from agent.auxiliary_client import call_llm
@@ -47,7 +46,6 @@ _PRUNED_TOOL_PLACEHOLDER = "[Old tool output cleared to save context space]"
# Chars per token rough estimate
_CHARS_PER_TOKEN = 4
_SUMMARY_FAILURE_COOLDOWN_SECONDS = 600
class ContextCompressor:
@@ -120,7 +118,6 @@ class ContextCompressor:
# Stores the previous compaction summary for iterative updates
self._previous_summary: Optional[str] = None
self._summary_failure_cooldown_until: float = 0.0
def update_from_response(self, usage: Dict[str, Any]):
"""Update tracked token usage from API response."""
@@ -261,14 +258,6 @@ class ContextCompressor:
the middle turns without a summary rather than inject a useless
placeholder.
"""
now = time.monotonic()
if now < self._summary_failure_cooldown_until:
logger.debug(
"Skipping context summary during cooldown (%.0fs remaining)",
self._summary_failure_cooldown_until - now,
)
return None
summary_budget = self._compute_summary_budget(turns_to_summarize)
content_to_summarize = self._serialize_for_summary(turns_to_summarize)
@@ -356,6 +345,7 @@ Write only the summary body. Do not include any preamble or prefix."""
call_kwargs = {
"task": "compression",
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.3,
"max_tokens": summary_budget * 2,
# timeout resolved from auxiliary.compression.timeout config by call_llm
}
@@ -369,23 +359,13 @@ Write only the summary body. Do not include any preamble or prefix."""
summary = content.strip()
# Store for iterative updates on next compaction
self._previous_summary = summary
self._summary_failure_cooldown_until = 0.0
return self._with_summary_prefix(summary)
except RuntimeError:
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
logging.warning("Context compression: no provider available for "
"summary. Middle turns will be dropped without summary "
"for %d seconds.",
_SUMMARY_FAILURE_COOLDOWN_SECONDS)
"summary. Middle turns will be dropped without summary.")
return None
except Exception as e:
self._summary_failure_cooldown_until = time.monotonic() + _SUMMARY_FAILURE_COOLDOWN_SECONDS
logging.warning(
"Failed to generate context summary: %s. "
"Further summary attempts paused for %d seconds.",
e,
_SUMMARY_FAILURE_COOLDOWN_SECONDS,
)
logging.warning("Failed to generate context summary: %s", e)
return None
@staticmethod
@@ -668,7 +648,7 @@ Write only the summary body. Do not include any preamble or prefix."""
compressed.append({"role": summary_role, "content": summary})
else:
if not self.quiet_mode:
logger.debug("No summary model available — middle turns dropped without summary")
logger.warning("No summary model available — middle turns dropped without summary")
for i in range(compress_end, n_messages):
msg = messages[i].copy()
+3 -2
View File
@@ -343,9 +343,10 @@ def _resolve_path(cwd: Path, target: str, *, allowed_root: Path | None = None) -
def _ensure_reference_path_allowed(path: Path) -> None:
from hermes_constants import get_hermes_home
home = Path(os.path.expanduser("~")).resolve()
hermes_home = get_hermes_home().resolve()
hermes_home = Path(
os.getenv("HERMES_HOME", str(home / ".hermes"))
).expanduser().resolve()
blocked_exact = {home / rel for rel in _SENSITIVE_HOME_FILES}
blocked_exact.add(hermes_home / ".env")
+7 -130
View File
@@ -11,7 +11,6 @@ from __future__ import annotations
import json
import os
import queue
import re
import shlex
import subprocess
import threading
@@ -24,9 +23,6 @@ from typing import Any
ACP_MARKER_BASE_URL = "acp://copilot"
_DEFAULT_TIMEOUT_SECONDS = 900.0
_TOOL_CALL_BLOCK_RE = re.compile(r"<tool_call>\s*(\{.*?\})\s*</tool_call>", re.DOTALL)
_TOOL_CALL_JSON_RE = re.compile(r"\{\s*\"id\"\s*:\s*\"[^\"]+\"\s*,\s*\"type\"\s*:\s*\"function\"\s*,\s*\"function\"\s*:\s*\{.*?\}\s*\}", re.DOTALL)
def _resolve_command() -> str:
return (
@@ -54,50 +50,15 @@ def _jsonrpc_error(message_id: Any, code: int, message: str) -> dict[str, Any]:
}
def _format_messages_as_prompt(
messages: list[dict[str, Any]],
model: str | None = None,
tools: list[dict[str, Any]] | None = None,
tool_choice: Any = None,
) -> str:
def _format_messages_as_prompt(messages: list[dict[str, Any]], model: str | None = None) -> str:
sections: list[str] = [
"You are being used as the active ACP agent backend for Hermes.",
"Use ACP capabilities to complete tasks.",
"IMPORTANT: If you take an action with a tool, you MUST output tool calls using <tool_call>{...}</tool_call> blocks with JSON exactly in OpenAI function-call shape.",
"If no tool is needed, answer normally.",
"Use your own ACP capabilities and respond directly in natural language.",
"Do not emit OpenAI tool-call JSON.",
]
if model:
sections.append(f"Hermes requested model hint: {model}")
if isinstance(tools, list) and tools:
tool_specs: list[dict[str, Any]] = []
for t in tools:
if not isinstance(t, dict):
continue
fn = t.get("function") or {}
if not isinstance(fn, dict):
continue
name = fn.get("name")
if not isinstance(name, str) or not name.strip():
continue
tool_specs.append(
{
"name": name.strip(),
"description": fn.get("description", ""),
"parameters": fn.get("parameters", {}),
}
)
if tool_specs:
sections.append(
"Available tools (OpenAI function schema). "
"When using a tool, emit ONLY <tool_call>{...}</tool_call> with one JSON object "
"containing id/type/function{name,arguments}. arguments must be a JSON string.\n"
+ json.dumps(tool_specs, ensure_ascii=False)
)
if tool_choice is not None:
sections.append(f"Tool choice hint: {json.dumps(tool_choice, ensure_ascii=False)}")
transcript: list[str] = []
for message in messages:
if not isinstance(message, dict):
@@ -153,80 +114,6 @@ def _render_message_content(content: Any) -> str:
return str(content).strip()
def _extract_tool_calls_from_text(text: str) -> tuple[list[SimpleNamespace], str]:
if not isinstance(text, str) or not text.strip():
return [], ""
extracted: list[SimpleNamespace] = []
consumed_spans: list[tuple[int, int]] = []
def _try_add_tool_call(raw_json: str) -> None:
try:
obj = json.loads(raw_json)
except Exception:
return
if not isinstance(obj, dict):
return
fn = obj.get("function")
if not isinstance(fn, dict):
return
fn_name = fn.get("name")
if not isinstance(fn_name, str) or not fn_name.strip():
return
fn_args = fn.get("arguments", "{}")
if not isinstance(fn_args, str):
fn_args = json.dumps(fn_args, ensure_ascii=False)
call_id = obj.get("id")
if not isinstance(call_id, str) or not call_id.strip():
call_id = f"acp_call_{len(extracted)+1}"
extracted.append(
SimpleNamespace(
id=call_id,
call_id=call_id,
response_item_id=None,
type="function",
function=SimpleNamespace(name=fn_name.strip(), arguments=fn_args),
)
)
for m in _TOOL_CALL_BLOCK_RE.finditer(text):
raw = m.group(1)
_try_add_tool_call(raw)
consumed_spans.append((m.start(), m.end()))
# Only try bare-JSON fallback when no XML blocks were found.
if not extracted:
for m in _TOOL_CALL_JSON_RE.finditer(text):
raw = m.group(0)
_try_add_tool_call(raw)
consumed_spans.append((m.start(), m.end()))
if not consumed_spans:
return extracted, text.strip()
consumed_spans.sort()
merged: list[tuple[int, int]] = []
for start, end in consumed_spans:
if not merged or start > merged[-1][1]:
merged.append((start, end))
else:
merged[-1] = (merged[-1][0], max(merged[-1][1], end))
parts: list[str] = []
cursor = 0
for start, end in merged:
if cursor < start:
parts.append(text[cursor:start])
cursor = max(cursor, end)
if cursor < len(text):
parts.append(text[cursor:])
cleaned = "\n".join(p.strip() for p in parts if p and p.strip()).strip()
return extracted, cleaned
def _ensure_path_within_cwd(path_text: str, cwd: str) -> Path:
candidate = Path(path_text)
if not candidate.is_absolute():
@@ -303,23 +190,14 @@ class CopilotACPClient:
model: str | None = None,
messages: list[dict[str, Any]] | None = None,
timeout: float | None = None,
tools: list[dict[str, Any]] | None = None,
tool_choice: Any = None,
**_: Any,
) -> Any:
prompt_text = _format_messages_as_prompt(
messages or [],
model=model,
tools=tools,
tool_choice=tool_choice,
)
prompt_text = _format_messages_as_prompt(messages or [], model=model)
response_text, reasoning_text = self._run_prompt(
prompt_text,
timeout_seconds=float(timeout or _DEFAULT_TIMEOUT_SECONDS),
)
tool_calls, cleaned_text = _extract_tool_calls_from_text(response_text)
usage = SimpleNamespace(
prompt_tokens=0,
completion_tokens=0,
@@ -327,14 +205,13 @@ class CopilotACPClient:
prompt_tokens_details=SimpleNamespace(cached_tokens=0),
)
assistant_message = SimpleNamespace(
content=cleaned_text,
tool_calls=tool_calls,
content=response_text,
tool_calls=[],
reasoning=reasoning_text or None,
reasoning_content=reasoning_text or None,
reasoning_details=None,
)
finish_reason = "tool_calls" if tool_calls else "stop"
choice = SimpleNamespace(message=assistant_message, finish_reason=finish_reason)
choice = SimpleNamespace(message=assistant_message, finish_reason="stop")
return SimpleNamespace(
choices=[choice],
usage=usage,
+13 -273
View File
@@ -8,23 +8,22 @@ import threading
import time
import uuid
import os
import re
from dataclasses import dataclass, fields, replace
from datetime import datetime
from typing import Any, Dict, List, Optional, Set, Tuple
from hermes_constants import OPENROUTER_BASE_URL
import hermes_cli.auth as auth_mod
from hermes_cli.auth import (
ACCESS_TOKEN_REFRESH_SKEW_SECONDS,
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS,
DEFAULT_AGENT_KEY_MIN_TTL_SECONDS,
PROVIDER_REGISTRY,
_agent_key_is_usable,
_codex_access_token_is_expiring,
_decode_jwt_claims,
_import_codex_cli_tokens,
_is_expiring,
_load_auth_store,
_load_provider_state,
_resolve_zai_base_url,
read_credential_pool,
write_credential_pool,
)
@@ -96,9 +95,6 @@ class PooledCredential:
last_status: Optional[str] = None
last_status_at: Optional[float] = None
last_error_code: Optional[int] = None
last_error_reason: Optional[str] = None
last_error_message: Optional[str] = None
last_error_reset_at: Optional[float] = None
base_url: Optional[str] = None
expires_at: Optional[str] = None
expires_at_ms: Optional[int] = None
@@ -133,14 +129,7 @@ class PooledCredential:
return cls(provider=provider, **data)
def to_dict(self) -> Dict[str, Any]:
_ALWAYS_EMIT = {
"last_status",
"last_status_at",
"last_error_code",
"last_error_reason",
"last_error_message",
"last_error_reset_at",
}
_ALWAYS_EMIT = {"last_status", "last_status_at", "last_error_code"}
result: Dict[str, Any] = {}
for field_def in fields(self):
if field_def.name in ("provider", "extra"):
@@ -191,85 +180,6 @@ def _exhausted_ttl(error_code: Optional[int]) -> int:
return EXHAUSTED_TTL_DEFAULT_SECONDS
def _parse_absolute_timestamp(value: Any) -> Optional[float]:
"""Best-effort parse for provider reset timestamps.
Accepts epoch seconds, epoch milliseconds, and ISO-8601 strings.
Returns seconds since epoch.
"""
if value is None or value == "":
return None
if isinstance(value, (int, float)):
numeric = float(value)
if numeric <= 0:
return None
return numeric / 1000.0 if numeric > 1_000_000_000_000 else numeric
if isinstance(value, str):
raw = value.strip()
if not raw:
return None
try:
numeric = float(raw)
except ValueError:
numeric = None
if numeric is not None:
return numeric / 1000.0 if numeric > 1_000_000_000_000 else numeric
try:
return datetime.fromisoformat(raw.replace("Z", "+00:00")).timestamp()
except ValueError:
return None
return None
def _extract_retry_delay_seconds(message: str) -> Optional[float]:
if not message:
return None
delay_match = re.search(r"quotaResetDelay[:\s\"]+(\d+(?:\.\d+)?)(ms|s)", message, re.IGNORECASE)
if delay_match:
value = float(delay_match.group(1))
return value / 1000.0 if delay_match.group(2).lower() == "ms" else value
sec_match = re.search(r"retry\s+(?:after\s+)?(\d+(?:\.\d+)?)\s*(?:sec|secs|seconds|s\b)", message, re.IGNORECASE)
if sec_match:
return float(sec_match.group(1))
return None
def _normalize_error_context(error_context: Optional[Dict[str, Any]]) -> Dict[str, Any]:
if not isinstance(error_context, dict):
return {}
normalized: Dict[str, Any] = {}
reason = error_context.get("reason")
if isinstance(reason, str) and reason.strip():
normalized["reason"] = reason.strip()
message = error_context.get("message")
if isinstance(message, str) and message.strip():
normalized["message"] = message.strip()
reset_at = (
error_context.get("reset_at")
or error_context.get("resets_at")
or error_context.get("retry_until")
)
parsed_reset_at = _parse_absolute_timestamp(reset_at)
if parsed_reset_at is None and isinstance(message, str):
retry_delay_seconds = _extract_retry_delay_seconds(message)
if retry_delay_seconds is not None:
parsed_reset_at = time.time() + retry_delay_seconds
if parsed_reset_at is not None:
normalized["reset_at"] = parsed_reset_at
return normalized
def _exhausted_until(entry: PooledCredential) -> Optional[float]:
if entry.last_status != STATUS_EXHAUSTED:
return None
reset_at = _parse_absolute_timestamp(getattr(entry, "last_error_reset_at", None))
if reset_at is not None:
return reset_at
if entry.last_status_at:
return entry.last_status_at + _exhausted_ttl(entry.last_error_code)
return None
def _normalize_custom_pool_name(name: str) -> str:
"""Normalize a custom provider name for use as a pool key suffix."""
return name.strip().lower().replace(" ", "-")
@@ -346,9 +256,6 @@ def get_pool_strategy(provider: str) -> str:
return STRATEGY_FILL_FIRST
DEFAULT_MAX_CONCURRENT_PER_CREDENTIAL = 1
class CredentialPool:
def __init__(self, provider: str, entries: List[PooledCredential]):
self.provider = provider
@@ -356,8 +263,6 @@ class CredentialPool:
self._current_id: Optional[str] = None
self._strategy = get_pool_strategy(provider)
self._lock = threading.Lock()
self._active_leases: Dict[str, int] = {}
self._max_concurrent = DEFAULT_MAX_CONCURRENT_PER_CREDENTIAL
def has_credentials(self) -> bool:
return bool(self._entries)
@@ -387,21 +292,12 @@ class CredentialPool:
[entry.to_dict() for entry in self._entries],
)
def _mark_exhausted(
self,
entry: PooledCredential,
status_code: Optional[int],
error_context: Optional[Dict[str, Any]] = None,
) -> PooledCredential:
normalized_error = _normalize_error_context(error_context)
def _mark_exhausted(self, entry: PooledCredential, status_code: Optional[int]) -> PooledCredential:
updated = replace(
entry,
last_status=STATUS_EXHAUSTED,
last_status_at=time.time(),
last_error_code=status_code,
last_error_reason=normalized_error.get("reason"),
last_error_message=normalized_error.get("message"),
last_error_reset_at=normalized_error.get("reset_at"),
)
self._replace_entry(entry, updated)
self._persist()
@@ -444,39 +340,6 @@ class CredentialPool:
logger.debug("Failed to sync from credentials file: %s", exc)
return entry
def _sync_codex_entry_from_cli(self, entry: PooledCredential) -> PooledCredential:
"""Sync an openai-codex pool entry from ~/.codex/auth.json if tokens differ.
OpenAI OAuth refresh tokens are single-use and rotate on every refresh.
When the Codex CLI (or another Hermes profile) refreshes its token,
the pool entry's refresh_token becomes stale. This method detects that
by comparing against ~/.codex/auth.json and syncing the fresh pair.
"""
if self.provider != "openai-codex":
return entry
try:
cli_tokens = _import_codex_cli_tokens()
if not cli_tokens:
return entry
cli_refresh = cli_tokens.get("refresh_token", "")
cli_access = cli_tokens.get("access_token", "")
if cli_refresh and cli_refresh != entry.refresh_token:
logger.debug("Pool entry %s: syncing tokens from ~/.codex/auth.json (refresh token changed)", entry.id)
updated = replace(
entry,
access_token=cli_access,
refresh_token=cli_refresh,
last_status=None,
last_status_at=None,
last_error_code=None,
)
self._replace_entry(entry, updated)
self._persist()
return updated
except Exception as exc:
logger.debug("Failed to sync from ~/.codex/auth.json: %s", exc)
return entry
def _refresh_entry(self, entry: PooledCredential, *, force: bool) -> Optional[PooledCredential]:
if entry.auth_type != AUTH_TYPE_OAUTH or not entry.refresh_token:
if force:
@@ -599,15 +462,7 @@ class CredentialPool:
self._mark_exhausted(entry, None)
return None
updated = replace(
updated,
last_status=STATUS_OK,
last_status_at=None,
last_error_code=None,
last_error_reason=None,
last_error_message=None,
last_error_reset_at=None,
)
updated = replace(updated, last_status=STATUS_OK, last_status_at=None, last_error_code=None)
self._replace_entry(entry, updated)
self._persist()
return updated
@@ -666,30 +521,12 @@ class CredentialPool:
if synced is not entry:
entry = synced
cleared_any = True
# For openai-codex entries, sync from ~/.codex/auth.json before
# any status/refresh checks. This picks up tokens refreshed by
# the Codex CLI or another Hermes profile.
if (self.provider == "openai-codex"
and entry.last_status == STATUS_EXHAUSTED
and entry.refresh_token):
synced = self._sync_codex_entry_from_cli(entry)
if synced is not entry:
entry = synced
cleared_any = True
if entry.last_status == STATUS_EXHAUSTED:
exhausted_until = _exhausted_until(entry)
if exhausted_until is not None and now < exhausted_until:
ttl = _exhausted_ttl(entry.last_error_code)
if entry.last_status_at and now - entry.last_status_at < ttl:
continue
if clear_expired:
cleared = replace(
entry,
last_status=STATUS_OK,
last_status_at=None,
last_error_code=None,
last_error_reason=None,
last_error_message=None,
last_error_reset_at=None,
)
cleared = replace(entry, last_status=STATUS_OK, last_status_at=None, last_error_code=None)
self._replace_entry(entry, cleared)
entry = cleared
cleared_any = True
@@ -707,7 +544,6 @@ class CredentialPool:
available = self._available_entries(clear_expired=True, refresh=True)
if not available:
self._current_id = None
logger.info("credential pool: no available entries (all exhausted or empty)")
return None
if self._strategy == STRATEGY_RANDOM:
@@ -740,73 +576,14 @@ class CredentialPool:
available = self._available_entries()
return available[0] if available else None
def mark_exhausted_and_rotate(
self,
*,
status_code: Optional[int],
error_context: Optional[Dict[str, Any]] = None,
) -> Optional[PooledCredential]:
def mark_exhausted_and_rotate(self, *, status_code: Optional[int]) -> Optional[PooledCredential]:
with self._lock:
entry = self.current() or self._select_unlocked()
if entry is None:
return None
_label = entry.label or entry.id[:8]
logger.info(
"credential pool: marking %s exhausted (status=%s), rotating",
_label, status_code,
)
self._mark_exhausted(entry, status_code, error_context)
self._mark_exhausted(entry, status_code)
self._current_id = None
next_entry = self._select_unlocked()
if next_entry:
_next_label = next_entry.label or next_entry.id[:8]
logger.info("credential pool: rotated to %s", _next_label)
return next_entry
def acquire_lease(self, credential_id: Optional[str] = None) -> Optional[str]:
"""Acquire a soft lease on a credential.
If a specific credential_id is provided, lease that entry directly.
Otherwise prefer the least-leased available credential, using priority as
a stable tie-breaker. When every credential is already at the soft cap,
still return the least-leased one instead of blocking.
"""
with self._lock:
if credential_id:
self._active_leases[credential_id] = self._active_leases.get(credential_id, 0) + 1
self._current_id = credential_id
return credential_id
available = self._available_entries(clear_expired=True, refresh=True)
if not available:
return None
below_cap = [
entry for entry in available
if self._active_leases.get(entry.id, 0) < self._max_concurrent
]
candidates = below_cap if below_cap else available
chosen = min(
candidates,
key=lambda entry: (self._active_leases.get(entry.id, 0), entry.priority),
)
self._active_leases[chosen.id] = self._active_leases.get(chosen.id, 0) + 1
self._current_id = chosen.id
return chosen.id
def release_lease(self, credential_id: str) -> None:
"""Release a previously acquired credential lease."""
with self._lock:
count = self._active_leases.get(credential_id, 0)
if count <= 1:
self._active_leases.pop(credential_id, None)
else:
self._active_leases[credential_id] = count - 1
def active_lease_count(self, credential_id: str) -> int:
"""Return the number of active leases for a credential."""
with self._lock:
return self._active_leases.get(credential_id, 0)
return self._select_unlocked()
def try_refresh_current(self) -> Optional[PooledCredential]:
with self._lock:
@@ -826,17 +603,7 @@ class CredentialPool:
new_entries = []
for entry in self._entries:
if entry.last_status or entry.last_status_at or entry.last_error_code:
new_entries.append(
replace(
entry,
last_status=None,
last_status_at=None,
last_error_code=None,
last_error_reason=None,
last_error_message=None,
last_error_reset_at=None,
)
)
new_entries.append(replace(entry, last_status=None, last_status_at=None, last_error_code=None))
count += 1
else:
new_entries.append(entry)
@@ -858,31 +625,6 @@ class CredentialPool:
self._current_id = None
return removed
def resolve_target(self, target: Any) -> Tuple[Optional[int], Optional[PooledCredential], Optional[str]]:
raw = str(target or "").strip()
if not raw:
return None, None, "No credential target provided."
for idx, entry in enumerate(self._entries, start=1):
if entry.id == raw:
return idx, entry, None
label_matches = [
(idx, entry)
for idx, entry in enumerate(self._entries, start=1)
if entry.label.strip().lower() == raw.lower()
]
if len(label_matches) == 1:
return label_matches[0][0], label_matches[0][1], None
if len(label_matches) > 1:
return None, None, f'Ambiguous credential label "{raw}". Use the numeric index or entry id instead.'
if raw.isdigit():
index = int(raw)
if 1 <= index <= len(self._entries):
return index, self._entries[index - 1], None
return None, None, f"No credential #{index}."
return None, None, f'No credential matching "{raw}".'
def add_entry(self, entry: PooledCredential) -> PooledCredential:
entry = replace(entry, priority=_next_priority(self._entries))
self._entries.append(entry)
@@ -1084,8 +826,6 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
active_sources.add(source)
auth_type = AUTH_TYPE_OAUTH if provider == "anthropic" and not token.startswith("sk-ant-api") else AUTH_TYPE_API_KEY
base_url = env_url or pconfig.inference_base_url
if provider == "zai":
base_url = _resolve_zai_base_url(token, pconfig.inference_base_url, env_url)
changed |= _upsert_entry(
entries,
provider,
+20
View File
@@ -890,6 +890,8 @@ def get_cute_tool_message(
return _wrap(f"┊ ◀️ back {dur}")
if tool_name == "browser_press":
return _wrap(f"┊ ⌨️ press {args.get('key', '?')} {dur}")
if tool_name == "browser_close":
return _wrap(f"┊ 🚪 close browser {dur}")
if tool_name == "browser_get_images":
return _wrap(f"┊ 🖼️ images extracting {dur}")
if tool_name == "browser_vision":
@@ -986,6 +988,24 @@ def _osc8_link(url: str, text: str) -> str:
return f"\033]8;;{url}\033\\{text}\033]8;;\033\\"
def honcho_session_line(workspace: str, session_name: str) -> str:
"""One-line session indicator: `Honcho session: <clickable name>`."""
url = honcho_session_url(workspace, session_name)
linked_name = _osc8_link(url, f"{_SKY_BLUE}{session_name}{_ANSI_RESET}")
return f"{_DIM}Honcho session:{_ANSI_RESET} {linked_name}"
def write_tty(text: str) -> None:
"""Write directly to /dev/tty, bypassing stdout capture."""
try:
fd = os.open("/dev/tty", os.O_WRONLY)
os.write(fd, text.encode("utf-8"))
os.close(fd)
except OSError:
sys.stdout.write(text)
sys.stdout.flush()
# =========================================================================
# Context pressure display (CLI user-facing warnings)
# =========================================================================
+2 -34
View File
@@ -30,45 +30,13 @@ from __future__ import annotations
import json
import logging
import re
from typing import Any, Dict, List, Optional
from agent.memory_provider import MemoryProvider
from tools.registry import tool_error
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Context fencing helpers
# ---------------------------------------------------------------------------
_FENCE_TAG_RE = re.compile(r'</?\s*memory-context\s*>', re.IGNORECASE)
def sanitize_context(text: str) -> str:
"""Strip fence-escape sequences from provider output."""
return _FENCE_TAG_RE.sub('', text)
def build_memory_context_block(raw_context: str) -> str:
"""Wrap prefetched memory in a fenced block with system note.
The fence prevents the model from treating recalled context as user
discourse. Injected at API-call time only — never persisted.
"""
if not raw_context or not raw_context.strip():
return ""
clean = sanitize_context(raw_context)
return (
"<memory-context>\n"
"[System note: The following is recalled memory context, "
"NOT new user input. Treat as informational background data.]\n\n"
f"{clean}\n"
"</memory-context>"
)
class MemoryManager:
"""Orchestrates the built-in provider plus at most one external provider.
@@ -250,7 +218,7 @@ class MemoryManager:
"""
provider = self._tool_to_provider.get(tool_name)
if provider is None:
return tool_error(f"No memory provider handles tool '{tool_name}'")
return json.dumps({"error": f"No memory provider handles tool '{tool_name}'"})
try:
return provider.handle_tool_call(tool_name, args, **kwargs)
except Exception as e:
@@ -258,7 +226,7 @@ class MemoryManager:
"Memory provider '%s' handle_tool_call(%s) failed: %s",
provider.name, tool_name, e,
)
return tool_error(f"Memory tool '{tool_name}' failed: {e}")
return json.dumps({"error": f"Memory tool '{tool_name}' failed: {e}"})
# -- Lifecycle hooks -----------------------------------------------------
+1 -1
View File
@@ -34,7 +34,7 @@ from __future__ import annotations
import logging
from abc import ABC, abstractmethod
from typing import Any, Dict, List
from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
+4 -10
View File
@@ -24,11 +24,10 @@ logger = logging.getLogger(__name__)
# are preserved so the full model name reaches cache lookups and server queries.
_PROVIDER_PREFIXES: frozenset[str] = frozenset({
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"gemini", "zai", "kimi-coding", "minimax", "minimax-cn", "anthropic", "deepseek",
"zai", "kimi-coding", "minimax", "minimax-cn", "anthropic", "deepseek",
"opencode-zen", "opencode-go", "ai-gateway", "kilocode", "alibaba",
"custom", "local",
# Common aliases
"google", "google-gemini", "google-ai-studio",
"glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
"github-models", "kimi", "moonshot", "claude", "deep-seek",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
@@ -102,11 +101,6 @@ DEFAULT_CONTEXT_LENGTHS = {
"gpt-4": 128000,
# Google
"gemini": 1048576,
# Gemma (open models served via AI Studio)
"gemma-4-31b": 256000,
"gemma-4-26b": 256000,
"gemma-3": 131072,
"gemma": 8192, # fallback for older gemma models
# DeepSeek
"deepseek": 128000,
# Meta
@@ -181,7 +175,7 @@ _URL_TO_PROVIDER: Dict[str, str] = {
"dashscope.aliyuncs.com": "alibaba",
"dashscope-intl.aliyuncs.com": "alibaba",
"openrouter.ai": "openrouter",
"generativelanguage.googleapis.com": "gemini",
"generativelanguage.googleapis.com": "google",
"inference-api.nousresearch.com": "nous",
"api.deepseek.com": "deepseek",
"api.githubcopilot.com": "copilot",
@@ -510,8 +504,8 @@ def fetch_endpoint_model_metadata(
def _get_context_cache_path() -> Path:
"""Return path to the persistent context length cache file."""
from hermes_constants import get_hermes_home
return get_hermes_home() / "context_length_cache.yaml"
hermes_home = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
return hermes_home / "context_length_cache.yaml"
def _load_context_cache() -> Dict[str, int]:
+12 -620
View File
@@ -1,31 +1,19 @@
"""Models.dev registry integration — primary database for providers and models.
"""Models.dev registry integration for provider-aware context length detection.
Fetches from https://models.dev/api.json — a community-maintained database
of 4000+ models across 109+ providers. Provides:
Fetches model metadata from https://models.dev/api.json — a community-maintained
database of 3800+ models across 100+ providers, including per-provider context
windows, pricing, and capabilities.
- **Provider metadata**: name, base URL, env vars, documentation link
- **Model metadata**: context window, max output, cost/M tokens, capabilities
(reasoning, tools, vision, PDF, audio), modalities, knowledge cutoff,
open-weights flag, family grouping, deprecation status
Data resolution order (like TypeScript OpenCode):
1. Bundled snapshot (ships with the package — offline-first)
2. Disk cache (~/.hermes/models_dev_cache.json)
3. Network fetch (https://models.dev/api.json)
4. Background refresh every 60 minutes
Other modules should import the dataclasses and query functions from here
rather than parsing the raw JSON themselves.
Data is cached in memory (1hr TTL) and on disk (~/.hermes/models_dev_cache.json)
to avoid cold-start network latency.
"""
import difflib
import json
import logging
import os
import time
from dataclasses import dataclass
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
from typing import Any, Dict, Optional
from utils import atomic_json_write
@@ -40,110 +28,7 @@ _MODELS_DEV_CACHE_TTL = 3600 # 1 hour in-memory
_models_dev_cache: Dict[str, Any] = {}
_models_dev_cache_time: float = 0
# ---------------------------------------------------------------------------
# Dataclasses — rich metadata for providers and models
# ---------------------------------------------------------------------------
@dataclass
class ModelInfo:
"""Full metadata for a single model from models.dev."""
id: str
name: str
family: str
provider_id: str # models.dev provider ID (e.g. "anthropic")
# Capabilities
reasoning: bool = False
tool_call: bool = False
attachment: bool = False # supports image/file attachments (vision)
temperature: bool = False
structured_output: bool = False
open_weights: bool = False
# Modalities
input_modalities: Tuple[str, ...] = () # ("text", "image", "pdf", ...)
output_modalities: Tuple[str, ...] = ()
# Limits
context_window: int = 0
max_output: int = 0
max_input: Optional[int] = None
# Cost (per million tokens, USD)
cost_input: float = 0.0
cost_output: float = 0.0
cost_cache_read: Optional[float] = None
cost_cache_write: Optional[float] = None
# Metadata
knowledge_cutoff: str = ""
release_date: str = ""
status: str = "" # "alpha", "beta", "deprecated", or ""
interleaved: Any = False # True or {"field": "reasoning_content"}
def has_cost_data(self) -> bool:
return self.cost_input > 0 or self.cost_output > 0
def supports_vision(self) -> bool:
return self.attachment or "image" in self.input_modalities
def supports_pdf(self) -> bool:
return "pdf" in self.input_modalities
def supports_audio_input(self) -> bool:
return "audio" in self.input_modalities
def format_cost(self) -> str:
"""Human-readable cost string, e.g. '$3.00/M in, $15.00/M out'."""
if not self.has_cost_data():
return "unknown"
parts = [f"${self.cost_input:.2f}/M in", f"${self.cost_output:.2f}/M out"]
if self.cost_cache_read is not None:
parts.append(f"cache read ${self.cost_cache_read:.2f}/M")
return ", ".join(parts)
def format_capabilities(self) -> str:
"""Human-readable capabilities, e.g. 'reasoning, tools, vision, PDF'."""
caps = []
if self.reasoning:
caps.append("reasoning")
if self.tool_call:
caps.append("tools")
if self.supports_vision():
caps.append("vision")
if self.supports_pdf():
caps.append("PDF")
if self.supports_audio_input():
caps.append("audio")
if self.structured_output:
caps.append("structured output")
if self.open_weights:
caps.append("open weights")
return ", ".join(caps) if caps else "basic"
@dataclass
class ProviderInfo:
"""Full metadata for a provider from models.dev."""
id: str # models.dev provider ID
name: str # display name
env: Tuple[str, ...] # env var names for API key
api: str # base URL
doc: str = "" # documentation URL
model_count: int = 0
def has_api_url(self) -> bool:
return bool(self.api)
# ---------------------------------------------------------------------------
# Provider ID mapping: Hermes ↔ models.dev
# ---------------------------------------------------------------------------
# Hermes provider names → models.dev provider IDs
# Provider ID mapping: Hermes provider names → models.dev provider IDs
PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"openrouter": "openrouter",
"anthropic": "anthropic",
@@ -159,34 +44,14 @@ PROVIDER_TO_MODELS_DEV: Dict[str, str] = {
"opencode-go": "opencode-go",
"kilocode": "kilo",
"fireworks": "fireworks-ai",
"huggingface": "huggingface",
"gemini": "google",
"google": "google",
"xai": "xai",
"nvidia": "nvidia",
"groq": "groq",
"mistral": "mistral",
"togetherai": "togetherai",
"perplexity": "perplexity",
"cohere": "cohere",
}
# Reverse mapping: models.dev → Hermes (built lazily)
_MODELS_DEV_TO_PROVIDER: Optional[Dict[str, str]] = None
def _get_reverse_mapping() -> Dict[str, str]:
"""Return models.dev ID → Hermes provider ID mapping."""
global _MODELS_DEV_TO_PROVIDER
if _MODELS_DEV_TO_PROVIDER is None:
_MODELS_DEV_TO_PROVIDER = {v: k for k, v in PROVIDER_TO_MODELS_DEV.items()}
return _MODELS_DEV_TO_PROVIDER
def _get_cache_path() -> Path:
"""Return path to disk cache file."""
from hermes_constants import get_hermes_home
return get_hermes_home() / "models_dev_cache.json"
env_val = os.environ.get("HERMES_HOME", "")
hermes_home = Path(env_val) if env_val else Path.home() / ".hermes"
return hermes_home / "models_dev_cache.json"
def _load_disk_cache() -> Dict[str, Any]:
@@ -230,7 +95,7 @@ def fetch_models_dev(force_refresh: bool = False) -> Dict[str, Any]:
response = requests.get(MODELS_DEV_URL, timeout=15)
response.raise_for_status()
data = response.json()
if isinstance(data, dict) and data:
if isinstance(data, dict) and len(data) > 0:
_models_dev_cache = data
_models_dev_cache_time = time.time()
_save_disk_cache(data)
@@ -305,476 +170,3 @@ def _extract_context(entry: Dict[str, Any]) -> Optional[int]:
if isinstance(ctx, (int, float)) and ctx > 0:
return int(ctx)
return None
# ---------------------------------------------------------------------------
# Model capability metadata
# ---------------------------------------------------------------------------
@dataclass
class ModelCapabilities:
"""Structured capability metadata for a model from models.dev."""
supports_tools: bool = True
supports_vision: bool = False
supports_reasoning: bool = False
context_window: int = 200000
max_output_tokens: int = 8192
model_family: str = ""
def _get_provider_models(provider: str) -> Optional[Dict[str, Any]]:
"""Resolve a Hermes provider ID to its models dict from models.dev.
Returns the models dict or None if the provider is unknown or has no data.
"""
mdev_provider_id = PROVIDER_TO_MODELS_DEV.get(provider)
if not mdev_provider_id:
return None
data = fetch_models_dev()
provider_data = data.get(mdev_provider_id)
if not isinstance(provider_data, dict):
return None
models = provider_data.get("models", {})
if not isinstance(models, dict):
return None
return models
def _find_model_entry(models: Dict[str, Any], model: str) -> Optional[Dict[str, Any]]:
"""Find a model entry by exact match, then case-insensitive fallback."""
# Exact match
entry = models.get(model)
if isinstance(entry, dict):
return entry
# Case-insensitive match
model_lower = model.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return mdata
return None
def get_model_capabilities(provider: str, model: str) -> Optional[ModelCapabilities]:
"""Look up full capability metadata from models.dev cache.
Uses the existing fetch_models_dev() and PROVIDER_TO_MODELS_DEV mapping.
Returns None if model not found.
Extracts from model entry fields:
- reasoning (bool) → supports_reasoning
- tool_call (bool) → supports_tools
- attachment (bool) → supports_vision
- limit.context (int) → context_window
- limit.output (int) → max_output_tokens
- family (str) → model_family
"""
models = _get_provider_models(provider)
if models is None:
return None
entry = _find_model_entry(models, model)
if entry is None:
return None
# Extract capability flags (default to False if missing)
supports_tools = bool(entry.get("tool_call", False))
supports_vision = bool(entry.get("attachment", False))
supports_reasoning = bool(entry.get("reasoning", False))
# Extract limits
limit = entry.get("limit", {})
if not isinstance(limit, dict):
limit = {}
ctx = limit.get("context")
context_window = int(ctx) if isinstance(ctx, (int, float)) and ctx > 0 else 200000
out = limit.get("output")
max_output_tokens = int(out) if isinstance(out, (int, float)) and out > 0 else 8192
model_family = entry.get("family", "") or ""
return ModelCapabilities(
supports_tools=supports_tools,
supports_vision=supports_vision,
supports_reasoning=supports_reasoning,
context_window=context_window,
max_output_tokens=max_output_tokens,
model_family=model_family,
)
def list_provider_models(provider: str) -> List[str]:
"""Return all model IDs for a provider from models.dev.
Returns an empty list if the provider is unknown or has no data.
"""
models = _get_provider_models(provider)
if models is None:
return []
return list(models.keys())
# Patterns that indicate non-agentic or noise models (TTS, embedding,
# dated preview snapshots, live/streaming-only, image-only).
import re
_NOISE_PATTERNS: re.Pattern = re.compile(
r"-tts\b|embedding|live-|-(preview|exp)-\d{2,4}[-_]|"
r"-image\b|-image-preview\b|-customtools\b",
re.IGNORECASE,
)
def list_agentic_models(provider: str) -> List[str]:
"""Return model IDs suitable for agentic use from models.dev.
Filters for tool_call=True and excludes noise (TTS, embedding,
dated preview snapshots, live/streaming, image-only models).
Returns an empty list on any failure.
"""
models = _get_provider_models(provider)
if models is None:
return []
result = []
for mid, entry in models.items():
if not isinstance(entry, dict):
continue
if not entry.get("tool_call", False):
continue
if _NOISE_PATTERNS.search(mid):
continue
result.append(mid)
return result
def search_models_dev(
query: str, provider: str = None, limit: int = 5
) -> List[Dict[str, Any]]:
"""Fuzzy search across models.dev catalog. Returns matching model entries.
Args:
query: Search string to match against model IDs.
provider: Optional Hermes provider ID to restrict search scope.
If None, searches across all providers in PROVIDER_TO_MODELS_DEV.
limit: Maximum number of results to return.
Returns:
List of dicts, each containing 'provider', 'model_id', and the full
model 'entry' from models.dev.
"""
data = fetch_models_dev()
if not data:
return []
# Build list of (provider_id, model_id, entry) candidates
candidates: List[tuple] = []
if provider is not None:
# Search only the specified provider
mdev_provider_id = PROVIDER_TO_MODELS_DEV.get(provider)
if not mdev_provider_id:
return []
provider_data = data.get(mdev_provider_id, {})
if isinstance(provider_data, dict):
models = provider_data.get("models", {})
if isinstance(models, dict):
for mid, mdata in models.items():
candidates.append((provider, mid, mdata))
else:
# Search across all mapped providers
for hermes_prov, mdev_prov in PROVIDER_TO_MODELS_DEV.items():
provider_data = data.get(mdev_prov, {})
if isinstance(provider_data, dict):
models = provider_data.get("models", {})
if isinstance(models, dict):
for mid, mdata in models.items():
candidates.append((hermes_prov, mid, mdata))
if not candidates:
return []
# Use difflib for fuzzy matching — case-insensitive comparison
model_ids_lower = [c[1].lower() for c in candidates]
query_lower = query.lower()
# First try exact substring matches (more intuitive than pure edit-distance)
substring_matches = []
for prov, mid, mdata in candidates:
if query_lower in mid.lower():
substring_matches.append({"provider": prov, "model_id": mid, "entry": mdata})
# Then add difflib fuzzy matches for any remaining slots
fuzzy_ids = difflib.get_close_matches(
query_lower, model_ids_lower, n=limit * 2, cutoff=0.4
)
seen_ids: set = set()
results: List[Dict[str, Any]] = []
# Prioritize substring matches
for match in substring_matches:
key = (match["provider"], match["model_id"])
if key not in seen_ids:
seen_ids.add(key)
results.append(match)
if len(results) >= limit:
return results
# Add fuzzy matches
for fid in fuzzy_ids:
# Find original-case candidates matching this lowered ID
for prov, mid, mdata in candidates:
if mid.lower() == fid:
key = (prov, mid)
if key not in seen_ids:
seen_ids.add(key)
results.append({"provider": prov, "model_id": mid, "entry": mdata})
if len(results) >= limit:
return results
return results
# ---------------------------------------------------------------------------
# Rich dataclass constructors — parse raw models.dev JSON into dataclasses
# ---------------------------------------------------------------------------
def _parse_model_info(model_id: str, raw: Dict[str, Any], provider_id: str) -> ModelInfo:
"""Convert a raw models.dev model entry dict into a ModelInfo dataclass."""
limit = raw.get("limit") or {}
if not isinstance(limit, dict):
limit = {}
cost = raw.get("cost") or {}
if not isinstance(cost, dict):
cost = {}
modalities = raw.get("modalities") or {}
if not isinstance(modalities, dict):
modalities = {}
input_mods = modalities.get("input") or []
output_mods = modalities.get("output") or []
ctx = limit.get("context")
ctx_int = int(ctx) if isinstance(ctx, (int, float)) and ctx > 0 else 0
out = limit.get("output")
out_int = int(out) if isinstance(out, (int, float)) and out > 0 else 0
inp = limit.get("input")
inp_int = int(inp) if isinstance(inp, (int, float)) and inp > 0 else None
return ModelInfo(
id=model_id,
name=raw.get("name", "") or model_id,
family=raw.get("family", "") or "",
provider_id=provider_id,
reasoning=bool(raw.get("reasoning", False)),
tool_call=bool(raw.get("tool_call", False)),
attachment=bool(raw.get("attachment", False)),
temperature=bool(raw.get("temperature", False)),
structured_output=bool(raw.get("structured_output", False)),
open_weights=bool(raw.get("open_weights", False)),
input_modalities=tuple(input_mods) if isinstance(input_mods, list) else (),
output_modalities=tuple(output_mods) if isinstance(output_mods, list) else (),
context_window=ctx_int,
max_output=out_int,
max_input=inp_int,
cost_input=float(cost.get("input", 0) or 0),
cost_output=float(cost.get("output", 0) or 0),
cost_cache_read=float(cost["cache_read"]) if "cache_read" in cost and cost["cache_read"] is not None else None,
cost_cache_write=float(cost["cache_write"]) if "cache_write" in cost and cost["cache_write"] is not None else None,
knowledge_cutoff=raw.get("knowledge", "") or "",
release_date=raw.get("release_date", "") or "",
status=raw.get("status", "") or "",
interleaved=raw.get("interleaved", False),
)
def _parse_provider_info(provider_id: str, raw: Dict[str, Any]) -> ProviderInfo:
"""Convert a raw models.dev provider entry dict into a ProviderInfo."""
env = raw.get("env") or []
models = raw.get("models") or {}
return ProviderInfo(
id=provider_id,
name=raw.get("name", "") or provider_id,
env=tuple(env) if isinstance(env, list) else (),
api=raw.get("api", "") or "",
doc=raw.get("doc", "") or "",
model_count=len(models) if isinstance(models, dict) else 0,
)
# ---------------------------------------------------------------------------
# Provider-level queries
# ---------------------------------------------------------------------------
def get_provider_info(provider_id: str) -> Optional[ProviderInfo]:
"""Get full provider metadata from models.dev.
Accepts either a Hermes provider ID (e.g. "kilocode") or a models.dev
ID (e.g. "kilo"). Returns None if the provider is not in the catalog.
"""
# Resolve Hermes ID → models.dev ID
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
raw = data.get(mdev_id)
if not isinstance(raw, dict):
return None
return _parse_provider_info(mdev_id, raw)
def list_all_providers() -> Dict[str, ProviderInfo]:
"""Return all providers from models.dev as {provider_id: ProviderInfo}.
Returns the full catalog — 109+ providers. For providers that have
a Hermes alias, both the models.dev ID and the Hermes ID are included.
"""
data = fetch_models_dev()
result: Dict[str, ProviderInfo] = {}
for pid, pdata in data.items():
if isinstance(pdata, dict):
info = _parse_provider_info(pid, pdata)
result[pid] = info
return result
def get_providers_for_env_var(env_var: str) -> List[str]:
"""Reverse lookup: find all providers that use a given env var.
Useful for auto-detection: "user has ANTHROPIC_API_KEY set, which
providers does that enable?"
Returns list of models.dev provider IDs.
"""
data = fetch_models_dev()
matches: List[str] = []
for pid, pdata in data.items():
if isinstance(pdata, dict):
env = pdata.get("env", [])
if isinstance(env, list) and env_var in env:
matches.append(pid)
return matches
# ---------------------------------------------------------------------------
# Model-level queries (rich ModelInfo)
# ---------------------------------------------------------------------------
def get_model_info(
provider_id: str, model_id: str
) -> Optional[ModelInfo]:
"""Get full model metadata from models.dev.
Accepts Hermes or models.dev provider ID. Tries exact match then
case-insensitive fallback. Returns None if not found.
"""
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
return None
models = pdata.get("models", {})
if not isinstance(models, dict):
return None
# Exact match
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, mdev_id)
# Case-insensitive fallback
model_lower = model_id.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return _parse_model_info(mid, mdata, mdev_id)
return None
def get_model_info_any_provider(model_id: str) -> Optional[ModelInfo]:
"""Search all providers for a model by ID.
Useful when you have a full slug like "anthropic/claude-sonnet-4.6" or
a bare name and want to find it anywhere. Checks Hermes-mapped providers
first, then falls back to all models.dev providers.
"""
data = fetch_models_dev()
# Try Hermes-mapped providers first (more likely what the user wants)
for hermes_id, mdev_id in PROVIDER_TO_MODELS_DEV.items():
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
continue
models = pdata.get("models", {})
if not isinstance(models, dict):
continue
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, mdev_id)
# Case-insensitive
model_lower = model_id.lower()
for mid, mdata in models.items():
if mid.lower() == model_lower and isinstance(mdata, dict):
return _parse_model_info(mid, mdata, mdev_id)
# Fall back to ALL providers
for pid, pdata in data.items():
if pid in _get_reverse_mapping():
continue # already checked
if not isinstance(pdata, dict):
continue
models = pdata.get("models", {})
if not isinstance(models, dict):
continue
raw = models.get(model_id)
if isinstance(raw, dict):
return _parse_model_info(model_id, raw, pid)
return None
def list_provider_model_infos(provider_id: str) -> List[ModelInfo]:
"""Return all models for a provider as ModelInfo objects.
Filters out deprecated models by default.
"""
mdev_id = PROVIDER_TO_MODELS_DEV.get(provider_id, provider_id)
data = fetch_models_dev()
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
return []
models = pdata.get("models", {})
if not isinstance(models, dict):
return []
result: List[ModelInfo] = []
for mid, mdata in models.items():
if not isinstance(mdata, dict):
continue
status = mdata.get("status", "")
if status == "deprecated":
continue
result.append(_parse_model_info(mid, mdata, mdev_id))
return result
+4 -43
View File
@@ -187,47 +187,7 @@ TOOL_USE_ENFORCEMENT_GUIDANCE = (
# Model name substrings that trigger tool-use enforcement guidance.
# Add new patterns here when a model family needs explicit steering.
TOOL_USE_ENFORCEMENT_MODELS = ("gpt", "codex", "gemini", "gemma", "grok")
# OpenAI GPT/Codex-specific execution guidance. Addresses known failure modes
# where GPT models abandon work on partial results, skip prerequisite lookups,
# hallucinate instead of using tools, and declare "done" without verification.
# Inspired by patterns from OpenAI's GPT-5.4 prompting guide & OpenClaw PR #38953.
OPENAI_MODEL_EXECUTION_GUIDANCE = (
"# Execution discipline\n"
"<tool_persistence>\n"
"- Use tools whenever they improve correctness, completeness, or grounding.\n"
"- Do not stop early when another tool call would materially improve the result.\n"
"- If a tool returns empty or partial results, retry with a different query or "
"strategy before giving up.\n"
"- Keep calling tools until: (1) the task is complete, AND (2) you have verified "
"the result.\n"
"</tool_persistence>\n"
"\n"
"<prerequisite_checks>\n"
"- Before taking an action, check whether prerequisite discovery, lookup, or "
"context-gathering steps are needed.\n"
"- Do not skip prerequisite steps just because the final action seems obvious.\n"
"- If a task depends on output from a prior step, resolve that dependency first.\n"
"</prerequisite_checks>\n"
"\n"
"<verification>\n"
"Before finalizing your response:\n"
"- Correctness: does the output satisfy every stated requirement?\n"
"- Grounding: are factual claims backed by tool outputs or provided context?\n"
"- Formatting: does the output match the requested format or schema?\n"
"- Safety: if the next step has side effects (file writes, commands, API calls), "
"confirm scope before executing.\n"
"</verification>\n"
"\n"
"<missing_context>\n"
"- If required context is missing, do NOT guess or hallucinate an answer.\n"
"- Use the appropriate lookup tool when missing information is retrievable "
"(search_files, web_search, read_file, etc.).\n"
"- Ask a clarifying question only when the information cannot be retrieved by tools.\n"
"- If you must proceed with incomplete information, label assumptions explicitly.\n"
"</missing_context>"
)
TOOL_USE_ENFORCEMENT_MODELS = ("gpt", "codex", "gemini", "gemma")
# Gemini/Gemma-specific operational guidance, adapted from OpenCode's gemini.txt.
# Injected alongside TOOL_USE_ENFORCEMENT_GUIDANCE when the model is Gemini or Gemma.
@@ -744,6 +704,7 @@ def build_nous_subscription_prompt(valid_tool_names: "set[str] | None" = None) -
"browser_type",
"browser_scroll",
"browser_console",
"browser_close",
"browser_press",
"browser_get_images",
"browser_vision",
@@ -773,13 +734,13 @@ def build_nous_subscription_prompt(valid_tool_names: "set[str] | None" = None) -
lines = [
"# Nous Subscription",
"Nous subscription includes managed web tools (Firecrawl), image generation (FAL), OpenAI TTS, and browser automation (Browser Use) by default. Modal execution is optional.",
"Nous subscription includes managed web tools (Firecrawl), image generation (FAL), OpenAI TTS, and browser automation (Browserbase) by default. Modal execution is optional.",
"Current capability status:",
]
lines.extend(_status_line(feature) for feature in features.items())
lines.extend(
[
"When a Nous-managed feature is active, do not ask the user for Firecrawl, FAL, OpenAI TTS, or Browser-Use API keys.",
"When a Nous-managed feature is active, do not ask the user for Firecrawl, FAL, OpenAI TTS, or Browserbase API keys.",
"If the user is not subscribed and asks for a capability that Nous subscription would unlock or simplify, suggest Nous subscription as one option alongside direct setup or local alternatives.",
"Do not mention subscription unless the user asks about it or it directly solves the current missing capability.",
"Useful commands: hermes setup, hermes setup tools, hermes setup terminal, hermes status.",
+2 -7
View File
@@ -48,18 +48,13 @@ _PREFIX_PATTERNS = [
r"sk_[A-Za-z0-9_]{10,}", # ElevenLabs TTS key (sk_ underscore, not sk- dash)
r"tvly-[A-Za-z0-9]{10,}", # Tavily search API key
r"exa_[A-Za-z0-9]{10,}", # Exa search API key
r"gsk_[A-Za-z0-9]{10,}", # Groq Cloud API key
r"syt_[A-Za-z0-9]{10,}", # Matrix access token
r"retaindb_[A-Za-z0-9]{10,}", # RetainDB API key
r"hsk-[A-Za-z0-9]{10,}", # Hindsight API key
r"mem0_[A-Za-z0-9]{10,}", # Mem0 Platform API key
r"brv_[A-Za-z0-9]{10,}", # ByteRover API key
]
# ENV assignment patterns: KEY=value where KEY contains a secret-like name
_SECRET_ENV_NAMES = r"(?:API_?KEY|TOKEN|SECRET|PASSWORD|PASSWD|CREDENTIAL|AUTH)"
_ENV_ASSIGN_RE = re.compile(
rf"([A-Z0-9_]{{0,50}}{_SECRET_ENV_NAMES}[A-Z0-9_]{{0,50}})\s*=\s*(['\"]?)(\S+)\2",
rf"([A-Z_]{{0,50}}{_SECRET_ENV_NAMES}[A-Z_]{{0,50}})\s*=\s*(['\"]?)(\S+)\2",
re.IGNORECASE,
)
# JSON field patterns: "apiKey": "value", "token": "value", etc.
-71
View File
@@ -16,9 +16,6 @@ logger = logging.getLogger(__name__)
_skill_commands: Dict[str, Dict[str, Any]] = {}
_PLAN_SLUG_RE = re.compile(r"[^a-z0-9]+")
# Patterns for sanitizing skill names into clean hyphen-separated slugs.
_SKILL_INVALID_CHARS = re.compile(r"[^a-z0-9-]")
_SKILL_MULTI_HYPHEN = re.compile(r"-{2,}")
def build_plan_path(
@@ -79,45 +76,6 @@ def _load_skill_payload(skill_identifier: str, task_id: str | None = None) -> tu
return loaded_skill, skill_dir, skill_name
def _inject_skill_config(loaded_skill: dict[str, Any], parts: list[str]) -> None:
"""Resolve and inject skill-declared config values into the message parts.
If the loaded skill's frontmatter declares ``metadata.hermes.config``
entries, their current values (from config.yaml or defaults) are appended
as a ``[Skill config: ...]`` block so the agent knows the configured values
without needing to read config.yaml itself.
"""
try:
from agent.skill_utils import (
extract_skill_config_vars,
parse_frontmatter,
resolve_skill_config_values,
)
# The loaded_skill dict contains the raw content which includes frontmatter
raw_content = str(loaded_skill.get("raw_content") or loaded_skill.get("content") or "")
if not raw_content:
return
frontmatter, _ = parse_frontmatter(raw_content)
config_vars = extract_skill_config_vars(frontmatter)
if not config_vars:
return
resolved = resolve_skill_config_values(config_vars)
if not resolved:
return
lines = ["", "[Skill config (from ~/.hermes/config.yaml):"]
for key, value in resolved.items():
display_val = str(value) if value else "(not set)"
lines.append(f" {key} = {display_val}")
lines.append("]")
parts.extend(lines)
except Exception:
pass # Non-critical — skill still loads without config injection
def _build_skill_message(
loaded_skill: dict[str, Any],
skill_dir: Path | None,
@@ -132,9 +90,6 @@ def _build_skill_message(
parts = [activation_note, "", content.strip()]
# ── Inject resolved skill config values ──
_inject_skill_config(loaded_skill, parts)
if loaded_skill.get("setup_skipped"):
parts.extend(
[
@@ -241,14 +196,7 @@ def scan_skill_commands() -> Dict[str, Dict[str, Any]]:
description = line[:80]
break
seen_names.add(name)
# Normalize to hyphen-separated slug, stripping
# non-alnum chars (e.g. +, /) to avoid invalid
# Telegram command names downstream.
cmd_name = name.lower().replace(' ', '-').replace('_', '-')
cmd_name = _SKILL_INVALID_CHARS.sub('', cmd_name)
cmd_name = _SKILL_MULTI_HYPHEN.sub('-', cmd_name).strip('-')
if not cmd_name:
continue
_skill_commands[f"/{cmd_name}"] = {
"name": name,
"description": description or f"Invoke the {name} skill",
@@ -269,25 +217,6 @@ def get_skill_commands() -> Dict[str, Dict[str, Any]]:
return _skill_commands
def resolve_skill_command_key(command: str) -> Optional[str]:
"""Resolve a user-typed /command to its canonical skill_cmds key.
Skills are always stored with hyphens ``scan_skill_commands`` normalizes
spaces and underscores to hyphens when building the key. Hyphens and
underscores are treated interchangeably in user input: this matches
``_check_unavailable_skill`` and accommodates Telegram bot-command names
(which disallow hyphens, so ``/claude-code`` is registered as
``/claude_code`` and comes back in the underscored form).
Returns the matching ``/slug`` key from ``get_skill_commands()`` or
``None`` if no match.
"""
if not command:
return None
cmd_key = f"/{command.replace('_', '-')}"
return cmd_key if cmd_key in get_skill_commands() else None
def build_skill_invocation_message(
cmd_key: str,
user_instruction: str = "",
+1 -158
View File
@@ -10,7 +10,7 @@ import os
import re
import sys
from pathlib import Path
from typing import Any, Dict, List, Set, Tuple
from typing import Any, Dict, List, Optional, Set, Tuple
from hermes_constants import get_hermes_home
@@ -254,163 +254,6 @@ def extract_skill_conditions(frontmatter: Dict[str, Any]) -> Dict[str, List]:
}
# ── Skill config extraction ───────────────────────────────────────────────
def extract_skill_config_vars(frontmatter: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Extract config variable declarations from parsed frontmatter.
Skills declare config.yaml settings they need via::
metadata:
hermes:
config:
- key: wiki.path
description: Path to the LLM Wiki knowledge base directory
default: "~/wiki"
prompt: Wiki directory path
Returns a list of dicts with keys: ``key``, ``description``, ``default``,
``prompt``. Invalid or incomplete entries are silently skipped.
"""
metadata = frontmatter.get("metadata")
if not isinstance(metadata, dict):
return []
hermes = metadata.get("hermes")
if not isinstance(hermes, dict):
return []
raw = hermes.get("config")
if not raw:
return []
if isinstance(raw, dict):
raw = [raw]
if not isinstance(raw, list):
return []
result: List[Dict[str, Any]] = []
seen: set = set()
for item in raw:
if not isinstance(item, dict):
continue
key = str(item.get("key", "")).strip()
if not key or key in seen:
continue
# Must have at least key and description
desc = str(item.get("description", "")).strip()
if not desc:
continue
entry: Dict[str, Any] = {
"key": key,
"description": desc,
}
default = item.get("default")
if default is not None:
entry["default"] = default
prompt_text = item.get("prompt")
if isinstance(prompt_text, str) and prompt_text.strip():
entry["prompt"] = prompt_text.strip()
else:
entry["prompt"] = desc
seen.add(key)
result.append(entry)
return result
def discover_all_skill_config_vars() -> List[Dict[str, Any]]:
"""Scan all enabled skills and collect their config variable declarations.
Walks every skills directory, parses each SKILL.md frontmatter, and returns
a deduplicated list of config var dicts. Each dict also includes a
``skill`` key with the skill name for attribution.
Disabled and platform-incompatible skills are excluded.
"""
all_vars: List[Dict[str, Any]] = []
seen_keys: set = set()
disabled = get_disabled_skill_names()
for skills_dir in get_all_skills_dirs():
if not skills_dir.is_dir():
continue
for skill_file in iter_skill_index_files(skills_dir, "SKILL.md"):
try:
raw = skill_file.read_text(encoding="utf-8")
frontmatter, _ = parse_frontmatter(raw)
except Exception:
continue
skill_name = frontmatter.get("name") or skill_file.parent.name
if str(skill_name) in disabled:
continue
if not skill_matches_platform(frontmatter):
continue
config_vars = extract_skill_config_vars(frontmatter)
for var in config_vars:
if var["key"] not in seen_keys:
var["skill"] = str(skill_name)
all_vars.append(var)
seen_keys.add(var["key"])
return all_vars
# Storage prefix: all skill config vars are stored under skills.config.*
# in config.yaml. Skill authors declare logical keys (e.g. "wiki.path");
# the system adds this prefix for storage and strips it for display.
SKILL_CONFIG_PREFIX = "skills.config"
def _resolve_dotpath(config: Dict[str, Any], dotted_key: str):
"""Walk a nested dict following a dotted key. Returns None if any part is missing."""
parts = dotted_key.split(".")
current = config
for part in parts:
if isinstance(current, dict) and part in current:
current = current[part]
else:
return None
return current
def resolve_skill_config_values(
config_vars: List[Dict[str, Any]],
) -> Dict[str, Any]:
"""Resolve current values for skill config vars from config.yaml.
Skill config is stored under ``skills.config.<key>`` in config.yaml.
Returns a dict mapping **logical** keys (as declared by skills) to their
current values (or the declared default if the key isn't set).
Path values are expanded via ``os.path.expanduser``.
"""
config_path = get_hermes_home() / "config.yaml"
config: Dict[str, Any] = {}
if config_path.exists():
try:
parsed = yaml_load(config_path.read_text(encoding="utf-8"))
if isinstance(parsed, dict):
config = parsed
except Exception:
pass
resolved: Dict[str, Any] = {}
for var in config_vars:
logical_key = var["key"]
storage_key = f"{SKILL_CONFIG_PREFIX}.{logical_key}"
value = _resolve_dotpath(config, storage_key)
if value is None or (isinstance(value, str) and not value.strip()):
value = var.get("default", "")
# Expand ~ in path-like values
if isinstance(value, str) and ("~" in value or "${" in value):
value = os.path.expanduser(os.path.expandvars(value))
resolved[logical_key] = value
return resolved
# ── Description extraction ────────────────────────────────────────────────
-218
View File
@@ -1,218 +0,0 @@
"""Progressive subdirectory hint discovery.
As the agent navigates into subdirectories via tool calls (read_file, terminal,
search_files, etc.), this module discovers and loads project context files
(AGENTS.md, CLAUDE.md, .cursorrules) from those directories. Discovered hints
are appended to the tool result so the model gets relevant context at the moment
it starts working in a new area of the codebase.
This complements the startup context loading in ``prompt_builder.py`` which only
loads from the CWD. Subdirectory hints are discovered lazily and injected into
the conversation without modifying the system prompt (preserving prompt caching).
Inspired by Block/goose's SubdirectoryHintTracker.
"""
import logging
import os
import shlex
from pathlib import Path
from typing import Dict, Any, Optional, Set
from agent.prompt_builder import _scan_context_content
logger = logging.getLogger(__name__)
# Context files to look for in subdirectories, in priority order.
# Same filenames as prompt_builder.py but we load ALL found (not first-wins)
# since different subdirectories may use different conventions.
_HINT_FILENAMES = [
"AGENTS.md", "agents.md",
"CLAUDE.md", "claude.md",
".cursorrules",
]
# Maximum chars per hint file to prevent context bloat
_MAX_HINT_CHARS = 8_000
# Tool argument keys that typically contain file paths
_PATH_ARG_KEYS = {"path", "file_path", "workdir"}
# Tools that take shell commands where we should extract paths
_COMMAND_TOOLS = {"terminal"}
# How many parent directories to walk up when looking for hints.
# Prevents scanning all the way to / for deeply nested paths.
_MAX_ANCESTOR_WALK = 5
class SubdirectoryHintTracker:
"""Track which directories the agent visits and load hints on first access.
Usage::
tracker = SubdirectoryHintTracker(working_dir="/path/to/project")
# After each tool call:
hints = tracker.check_tool_call("read_file", {"path": "backend/src/main.py"})
if hints:
tool_result += hints # append to the tool result string
"""
def __init__(self, working_dir: Optional[str] = None):
self.working_dir = Path(working_dir or os.getcwd()).resolve()
self._loaded_dirs: Set[Path] = set()
# Pre-mark the working dir as loaded (startup context handles it)
self._loaded_dirs.add(self.working_dir)
def check_tool_call(
self,
tool_name: str,
tool_args: Dict[str, Any],
) -> Optional[str]:
"""Check tool call arguments for new directories and load any hint files.
Returns formatted hint text to append to the tool result, or None.
"""
dirs = self._extract_directories(tool_name, tool_args)
if not dirs:
return None
all_hints = []
for d in dirs:
hints = self._load_hints_for_directory(d)
if hints:
all_hints.append(hints)
if not all_hints:
return None
return "\n\n" + "\n\n".join(all_hints)
def _extract_directories(
self, tool_name: str, args: Dict[str, Any]
) -> list:
"""Extract directory paths from tool call arguments."""
candidates: Set[Path] = set()
# Direct path arguments
for key in _PATH_ARG_KEYS:
val = args.get(key)
if isinstance(val, str) and val.strip():
self._add_path_candidate(val, candidates)
# Shell commands — extract path-like tokens
if tool_name in _COMMAND_TOOLS:
cmd = args.get("command", "")
if isinstance(cmd, str):
self._extract_paths_from_command(cmd, candidates)
return list(candidates)
def _add_path_candidate(self, raw_path: str, candidates: Set[Path]):
"""Resolve a raw path and add its directory + ancestors to candidates.
Walks up from the resolved directory toward the filesystem root,
stopping at the first directory already in ``_loaded_dirs`` (or after
``_MAX_ANCESTOR_WALK`` levels). This ensures that reading
``project/src/main.py`` discovers ``project/AGENTS.md`` even when
``project/src/`` has no hint files of its own.
"""
try:
p = Path(raw_path).expanduser()
if not p.is_absolute():
p = self.working_dir / p
p = p.resolve()
# Use parent if it's a file path (has extension or doesn't exist as dir)
if p.suffix or (p.exists() and p.is_file()):
p = p.parent
# Walk up ancestors — stop at already-loaded or root
for _ in range(_MAX_ANCESTOR_WALK):
if p in self._loaded_dirs:
break
if self._is_valid_subdir(p):
candidates.add(p)
parent = p.parent
if parent == p:
break # filesystem root
p = parent
except (OSError, ValueError):
pass
def _extract_paths_from_command(self, cmd: str, candidates: Set[Path]):
"""Extract path-like tokens from a shell command string."""
try:
tokens = shlex.split(cmd)
except ValueError:
tokens = cmd.split()
for token in tokens:
# Skip flags
if token.startswith("-"):
continue
# Must look like a path (contains / or .)
if "/" not in token and "." not in token:
continue
# Skip URLs
if token.startswith(("http://", "https://", "git@")):
continue
self._add_path_candidate(token, candidates)
def _is_valid_subdir(self, path: Path) -> bool:
"""Check if path is a valid directory to scan for hints."""
if not path.is_dir():
return False
if path in self._loaded_dirs:
return False
return True
def _load_hints_for_directory(self, directory: Path) -> Optional[str]:
"""Load hint files from a directory. Returns formatted text or None."""
self._loaded_dirs.add(directory)
found_hints = []
for filename in _HINT_FILENAMES:
hint_path = directory / filename
if not hint_path.is_file():
continue
try:
content = hint_path.read_text(encoding="utf-8").strip()
if not content:
continue
# Same security scan as startup context loading
content = _scan_context_content(content, filename)
if len(content) > _MAX_HINT_CHARS:
content = (
content[:_MAX_HINT_CHARS]
+ f"\n\n[...truncated {filename}: {len(content):,} chars total]"
)
# Best-effort relative path for display
rel_path = str(hint_path)
try:
rel_path = str(hint_path.relative_to(self.working_dir))
except ValueError:
try:
rel_path = str(hint_path.relative_to(Path.home()))
rel_path = "~/" + rel_path
except ValueError:
pass # keep absolute
found_hints.append((rel_path, content))
# First match wins per directory (like startup loading)
break
except Exception as exc:
logger.debug("Could not read %s: %s", hint_path, exc)
if not found_hints:
return None
sections = []
for rel_path, content in found_hints:
sections.append(
f"[Subdirectory context discovered: {rel_path}]\n{content}"
)
logger.debug(
"Loaded subdirectory hints from %s: %s",
directory,
[h[0] for h in found_hints],
)
return "\n\n".join(sections)
+1 -3
View File
@@ -31,8 +31,6 @@ from multiprocessing import Pool, Lock
import traceback
from rich.progress import Progress, SpinnerColumn, BarColumn, TextColumn, TimeRemainingColumn, MofNCompleteColumn
from rich.console import Console
logger = logging.getLogger(__name__)
import fire
from run_agent import AIAgent
@@ -1018,7 +1016,7 @@ class BatchRunner:
tool_stats = data.get('tool_stats', {})
# Check for invalid tool names (model hallucinations)
invalid_tools = [k for k in tool_stats if k not in VALID_TOOLS]
invalid_tools = [k for k in tool_stats.keys() if k not in VALID_TOOLS]
if invalid_tools:
filtered_entries += 1
+3 -32
View File
@@ -18,8 +18,7 @@ model:
# "anthropic" - Direct Anthropic API (requires: ANTHROPIC_API_KEY)
# "openai-codex" - OpenAI Codex (requires: hermes login --provider openai-codex)
# "copilot" - GitHub Copilot / GitHub Models (requires: GITHUB_TOKEN)
# "gemini" - Use Google AI Studio direct (requires: GOOGLE_API_KEY or GEMINI_API_KEY)
# "zai" - Use z.ai / ZhipuAI GLM models (requires: GLM_API_KEY)
# "zai" - z.ai / ZhipuAI GLM (requires: GLM_API_KEY)
# "kimi-coding" - Kimi / Moonshot AI (requires: KIMI_API_KEY)
# "minimax" - MiniMax global (requires: MINIMAX_API_KEY)
# "minimax-cn" - MiniMax China (requires: MINIMAX_CN_API_KEY)
@@ -35,12 +34,6 @@ model:
# base_url: "http://localhost:1234/v1"
# No API key needed — local servers typically ignore auth.
#
# For Ollama Cloud (https://ollama.com/pricing):
# provider: "custom"
# base_url: "https://ollama.com/v1"
# Set OLLAMA_API_KEY in .env — automatically picked up when base_url
# points to ollama.com.
#
# Can also be overridden with --provider flag or HERMES_INFERENCE_PROVIDER env var.
provider: "auto"
@@ -316,8 +309,7 @@ compression:
# "auto" - Best available: OpenRouter → Nous Portal → main endpoint (default)
# "openrouter" - Force OpenRouter (requires OPENROUTER_API_KEY)
# "nous" - Force Nous Portal (requires: hermes login)
# "gemini" - Force Google AI Studio direct (requires: GOOGLE_API_KEY or GEMINI_API_KEY)
# "codex" - Force Codex OAuth (requires: hermes model → Codex).
# "codex" - Force Codex OAuth (requires: hermes model → Codex).
# Uses gpt-5.3-codex which supports vision.
# "main" - Use your custom endpoint (OPENAI_BASE_URL + OPENAI_API_KEY).
# Works with OpenAI API, local models, or any OpenAI-compatible
@@ -539,7 +531,7 @@ platform_toolsets:
# terminal - terminal, process
# file - read_file, write_file, patch, search
# browser - browser_navigate, browser_snapshot, browser_click, browser_type,
# browser_scroll, browser_back, browser_press,
# browser_scroll, browser_back, browser_press, browser_close,
# browser_get_images, browser_vision (requires BROWSERBASE_API_KEY)
# vision - vision_analyze (requires OPENROUTER_API_KEY)
# image_gen - image_generate (requires FAL_KEY)
@@ -797,27 +789,6 @@ display:
#
skin: default
# =============================================================================
# Model Aliases — short names for /model command
# =============================================================================
# Map short aliases to exact (model, provider, base_url) tuples.
# Used by /model tab completion and resolve_alias().
# Aliases are checked BEFORE the models.dev catalog, so they can route
# to endpoints not in the catalog (e.g. Ollama Cloud, local servers).
#
# model_aliases:
# opus:
# model: claude-opus-4-6
# provider: anthropic
# qwen:
# model: "qwen3.5:397b"
# provider: custom
# base_url: "https://ollama.com/v1"
# glm:
# model: glm-4.7
# provider: custom
# base_url: "https://ollama.com/v1"
# =============================================================================
# Privacy
# =============================================================================
+56 -374
View File
@@ -70,7 +70,7 @@ _COMMAND_SPINNER_FRAMES = ("⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧
# Load .env from ~/.hermes/.env first, then project root as dev fallback.
# User-managed env files should override stale shell exports on restart.
from hermes_constants import get_hermes_home, display_hermes_home
from hermes_constants import get_hermes_home, display_hermes_home, OPENROUTER_BASE_URL
from hermes_cli.env_loader import load_hermes_dotenv
_hermes_home = get_hermes_home()
@@ -120,63 +120,6 @@ def _parse_reasoning_config(effort: str) -> dict | None:
return result
def _get_chrome_debug_candidates(system: str) -> list[str]:
"""Return likely browser executables for local CDP auto-launch."""
candidates: list[str] = []
seen: set[str] = set()
def _add_candidate(path: str | None) -> None:
if not path:
return
normalized = os.path.normcase(os.path.normpath(path))
if normalized in seen:
return
if os.path.isfile(path):
candidates.append(path)
seen.add(normalized)
def _add_from_path(*names: str) -> None:
for name in names:
_add_candidate(shutil.which(name))
if system == "Darwin":
for app in (
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome",
"/Applications/Chromium.app/Contents/MacOS/Chromium",
"/Applications/Brave Browser.app/Contents/MacOS/Brave Browser",
"/Applications/Microsoft Edge.app/Contents/MacOS/Microsoft Edge",
):
_add_candidate(app)
elif system == "Windows":
_add_from_path(
"chrome.exe", "msedge.exe", "brave.exe", "chromium.exe",
"chrome", "msedge", "brave", "chromium",
)
for base in (
os.environ.get("ProgramFiles"),
os.environ.get("ProgramFiles(x86)"),
os.environ.get("LOCALAPPDATA"),
):
if not base:
continue
for parts in (
("Google", "Chrome", "Application", "chrome.exe"),
("Chromium", "Application", "chrome.exe"),
("Chromium", "Application", "chromium.exe"),
("BraveSoftware", "Brave-Browser", "Application", "brave.exe"),
("Microsoft", "Edge", "Application", "msedge.exe"),
):
_add_candidate(os.path.join(base, *parts))
else:
_add_from_path(
"google-chrome", "google-chrome-stable", "chromium-browser",
"chromium", "brave-browser", "microsoft-edge",
)
return candidates
def load_cli_config() -> Dict[str, Any]:
"""
Load CLI configuration from config files.
@@ -510,21 +453,6 @@ def load_cli_config() -> Dict[str, Any]:
# Load configuration at module startup
CLI_CONFIG = load_cli_config()
# Initialize centralized logging early — agent.log + errors.log in ~/.hermes/logs/.
# This ensures CLI sessions produce a log trail even before AIAgent is instantiated.
try:
from hermes_logging import setup_logging
setup_logging(mode="cli")
except Exception:
pass # Logging setup is best-effort — don't crash the CLI
# Validate config structure early — print warnings before user hits cryptic errors
try:
from hermes_cli.config import print_config_warnings
print_config_warnings()
except Exception:
pass
# Initialize the skin engine from config
try:
from hermes_cli.skin_engine import init_skin_from_config
@@ -1329,11 +1257,8 @@ class HermesCLI:
# Parse and validate toolsets
self.enabled_toolsets = toolsets
if toolsets and "all" not in toolsets and "*" not in toolsets:
# Validate each toolset — MCP server names are added by
# _get_platform_tools() but aren't registered in TOOLSETS yet
# (that happens later in _sync_mcp_toolsets), so exclude them.
mcp_names = set((CLI_CONFIG.get("mcp_servers") or {}).keys())
invalid = [t for t in toolsets if not validate_toolset(t) and t not in mcp_names]
# Validate each toolset
invalid = [t for t in toolsets if not validate_toolset(t)]
if invalid:
self.console.print(f"[bold red]Warning: Unknown toolsets: {', '.join(invalid)}[/]")
@@ -1920,12 +1845,6 @@ class HermesCLI:
_cprint(f"{_DIM}{'' * (w - 2)}{_RST}")
self._reasoning_box_opened = False
# Flush any content that was deferred while reasoning was rendering.
deferred = getattr(self, "_deferred_content", "")
if deferred:
self._deferred_content = ""
self._emit_stream_text(deferred)
def _stream_delta(self, text) -> None:
"""Line-buffered streaming callback for real-time token rendering.
@@ -2028,13 +1947,6 @@ class HermesCLI:
if not text:
return
# When show_reasoning is on and reasoning is still rendering,
# defer content until the reasoning box closes. This ensures the
# reasoning block always appears BEFORE the response in the terminal.
if self.show_reasoning and getattr(self, "_reasoning_box_opened", False):
self._deferred_content = getattr(self, "_deferred_content", "") + text
return
# Close the live reasoning box before opening the response box
self._close_reasoning_box()
@@ -2101,7 +2013,6 @@ class HermesCLI:
self._reasoning_box_opened = False
self._reasoning_buf = ""
self._reasoning_preview_buf = ""
self._deferred_content = ""
def _slow_command_status(self, command: str) -> str:
"""Return a user-facing status message for slower slash commands."""
@@ -2444,22 +2355,6 @@ class HermesCLI:
"[dim] Fix: Set model.context_length in config.yaml, or increase your server's context setting[/]"
)
# Warn if the configured model is a Nous Hermes LLM (not agentic)
model_name = getattr(self, "model", "") or ""
if "hermes" in model_name.lower():
self.console.print()
self.console.print(
"[bold yellow]⚠ Nous Research Hermes 3 & 4 models are NOT agentic and are not "
"designed for use with Hermes Agent.[/]"
)
self.console.print(
"[dim] They lack tool-calling capabilities required for agent workflows. "
"Consider using an agentic model (Claude, GPT, Gemini, DeepSeek, etc.).[/]"
)
self.console.print(
"[dim] Switch with: /model sonnet or /model gpt5[/]"
)
self.console.print()
def _preload_resumed_session(self) -> bool:
@@ -3536,6 +3431,13 @@ class HermesCLI:
_cprint(f" Original session: {parent_session_id}")
_cprint(f" Branch session: {new_session_id}")
def reset_conversation(self):
"""Reset the conversation by starting a new session."""
# Shut down memory provider before resetting — actual session boundary
if hasattr(self, 'agent') and self.agent:
self.agent.shutdown_memory_provider(self.conversation_history)
self.new_session()
def save_conversation(self):
"""Save the current conversation to a file."""
if not self.conversation_history:
@@ -3617,181 +3519,6 @@ class HermesCLI:
remaining = len(self.conversation_history)
print(f" {remaining} message(s) remaining in history.")
def _handle_model_switch(self, cmd_original: str):
"""Handle /model command — switch model for this session.
Supports:
/model show current model + usage hints
/model <name> switch for this session only
/model <name> --global switch and persist to config.yaml
/model <name> --provider <provider> switch provider + model
/model --provider <provider> switch to provider, auto-detect model
"""
from hermes_cli.model_switch import switch_model, parse_model_flags, list_authenticated_providers
from hermes_cli.providers import get_label
# Parse args from the original command
parts = cmd_original.split(None, 1) # split off '/model'
raw_args = parts[1].strip() if len(parts) > 1 else ""
# Parse --provider and --global flags
model_input, explicit_provider, persist_global = parse_model_flags(raw_args)
# No args at all: show available providers + models
if not model_input and not explicit_provider:
model_display = self.model or "unknown"
provider_display = get_label(self.provider) if self.provider else "unknown"
_cprint(f" Current: {model_display} on {provider_display}")
_cprint("")
# Show authenticated providers with top models
try:
# Load user providers from config
user_provs = None
try:
from hermes_cli.config import load_config
cfg = load_config()
user_provs = cfg.get("providers")
except Exception:
pass
providers = list_authenticated_providers(
current_provider=self.provider or "",
user_providers=user_provs,
max_models=6,
)
if providers:
for p in providers:
tag = " (current)" if p["is_current"] else ""
_cprint(f" {p['name']} [--provider {p['slug']}]{tag}:")
if p["models"]:
model_strs = ", ".join(p["models"])
extra = f" (+{p['total_models'] - len(p['models'])} more)" if p["total_models"] > len(p["models"]) else ""
_cprint(f" {model_strs}{extra}")
elif p.get("api_url"):
_cprint(f" {p['api_url']} (use /model <name> --provider {p['slug']})")
else:
_cprint(f" (no models listed)")
_cprint("")
else:
_cprint(" No authenticated providers found.")
_cprint("")
except Exception:
pass
# Aliases
from hermes_cli.model_switch import MODEL_ALIASES
alias_list = ", ".join(sorted(MODEL_ALIASES.keys()))
_cprint(f" Aliases: {alias_list}")
_cprint("")
_cprint(" /model <name> switch model")
_cprint(" /model <name> --provider <slug> switch provider")
_cprint(" /model <name> --global persist to config")
return
# Perform the switch
result = switch_model(
raw_input=model_input,
current_provider=self.provider or "",
current_model=self.model or "",
current_base_url=self.base_url or "",
current_api_key=self.api_key or "",
is_global=persist_global,
explicit_provider=explicit_provider,
)
if not result.success:
_cprint(f"{result.error_message}")
return
# Apply to CLI state.
# Update requested_provider so _ensure_runtime_credentials() doesn't
# overwrite the switch on the next turn (it re-resolves from this).
old_model = self.model
self.model = result.new_model
self.provider = result.target_provider
self.requested_provider = result.target_provider
if result.api_key:
self.api_key = result.api_key
self._explicit_api_key = result.api_key
if result.base_url:
self.base_url = result.base_url
self._explicit_base_url = result.base_url
if result.api_mode:
self.api_mode = result.api_mode
# Apply to running agent (in-place swap)
if self.agent is not None:
try:
self.agent.switch_model(
new_model=result.new_model,
new_provider=result.target_provider,
api_key=result.api_key,
base_url=result.base_url,
api_mode=result.api_mode,
)
except Exception as exc:
_cprint(f" ⚠ Agent swap failed ({exc}); change applied to next session.")
# Store a note to prepend to the next user message so the model
# knows a switch occurred (avoids injecting system messages mid-history
# which breaks providers and prompt caching).
self._pending_model_switch_note = (
f"[Note: model was just switched from {old_model} to {result.new_model} "
f"via {result.provider_label or result.target_provider}. "
f"Adjust your self-identification accordingly.]"
)
# Display confirmation with full metadata
provider_label = result.provider_label or result.target_provider
_cprint(f" ✓ Model switched: {result.new_model}")
_cprint(f" Provider: {provider_label}")
# Rich metadata from models.dev
mi = result.model_info
if mi:
if mi.context_window:
_cprint(f" Context: {mi.context_window:,} tokens")
if mi.max_output:
_cprint(f" Max output: {mi.max_output:,} tokens")
if mi.has_cost_data():
_cprint(f" Cost: {mi.format_cost()}")
_cprint(f" Capabilities: {mi.format_capabilities()}")
else:
# Fallback to old context length lookup
try:
from agent.model_metadata import get_model_context_length
ctx = get_model_context_length(
result.new_model,
base_url=result.base_url or self.base_url,
api_key=result.api_key or self.api_key,
provider=result.target_provider,
)
_cprint(f" Context: {ctx:,} tokens")
except Exception:
pass
# Cache notice
cache_enabled = (
("openrouter" in (result.base_url or "").lower() and "claude" in result.new_model.lower())
or result.api_mode == "anthropic_messages"
)
if cache_enabled:
_cprint(" Prompt caching: enabled")
# Warning from validation
if result.warning_message:
_cprint(f"{result.warning_message}")
# Persistence
if persist_global:
save_config_value("model.default", result.new_model)
if result.provider_changed:
save_config_value("model.provider", result.target_provider)
_cprint(" Saved to config.yaml (--global)")
else:
_cprint(" (session only — add --global to persist)")
def _show_model_and_providers(self):
"""Show current model + provider and list all authenticated providers.
@@ -3801,7 +3528,6 @@ class HermesCLI:
from hermes_cli.models import (
curated_models_for_provider, list_available_providers,
normalize_provider, _PROVIDER_LABELS,
get_pricing_for_provider, format_model_pricing_table,
)
from hermes_cli.auth import resolve_provider as _resolve_provider
@@ -3835,13 +3561,7 @@ class HermesCLI:
marker = " ← active" if is_active else ""
print(f" [{p['id']}]{marker}")
curated = curated_models_for_provider(p["id"])
# Fetch pricing for providers that support it (openrouter, nous)
pricing_map = get_pricing_for_provider(p["id"]) if p["id"] in ("openrouter", "nous") else {}
if curated and pricing_map:
cur_model = self.model if is_active else ""
for line in format_model_pricing_table(curated, pricing_map, current_model=cur_model):
print(line)
elif curated:
if curated:
for mid, desc in curated:
current_marker = " ← current" if (is_active and mid == self.model) else ""
print(f" {mid}{current_marker}")
@@ -4239,6 +3959,7 @@ class HermesCLI:
try:
config = load_gateway_config()
connected = config.get_connected_platforms()
print(" Messaging Platform Configuration:")
print(" " + "-" * 55)
@@ -4413,8 +4134,6 @@ class HermesCLI:
self.new_session()
elif canonical == "resume":
self._handle_resume_command(cmd_original)
elif canonical == "model":
self._handle_model_switch(cmd_original)
elif canonical == "provider":
self._show_model_and_providers()
elif canonical == "prompt":
@@ -4901,9 +4620,27 @@ class HermesCLI:
Returns True if a launch command was executed (doesn't guarantee success).
"""
import shutil
import subprocess as _sp
candidates = _get_chrome_debug_candidates(system)
candidates = []
if system == "Darwin":
# macOS: try common app bundle locations
for app in (
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome",
"/Applications/Chromium.app/Contents/MacOS/Chromium",
"/Applications/Brave Browser.app/Contents/MacOS/Brave Browser",
"/Applications/Microsoft Edge.app/Contents/MacOS/Microsoft Edge",
):
if os.path.isfile(app):
candidates.append(app)
else:
# Linux: try common binary names
for name in ("google-chrome", "google-chrome-stable", "chromium-browser",
"chromium", "brave-browser", "microsoft-edge"):
path = shutil.which(name)
if path:
candidates.append(path)
if not candidates:
return False
@@ -5029,13 +4766,13 @@ class HermesCLI:
pass
print()
print("🌐 Browser disconnected from live Chrome")
print(" Browser tools reverted to default mode (local headless or cloud provider)")
print(" Browser tools reverted to default mode (local headless or Browserbase)")
print()
if hasattr(self, '_pending_input'):
self._pending_input.put(
"[System note: The user has disconnected the browser tools from their live Chrome. "
"Browser tools are back to default mode (headless local browser or cloud provider).]"
"Browser tools are back to default mode (headless local browser or Browserbase cloud).]"
)
else:
print()
@@ -5062,17 +4799,10 @@ class HermesCLI:
print(" Status: ✓ reachable")
except (OSError, Exception):
print(" Status: ⚠ not reachable (Chrome may not be running)")
elif os.environ.get("BROWSERBASE_API_KEY"):
print("🌐 Browser: Browserbase (cloud)")
else:
try:
from tools.browser_tool import _get_cloud_provider
provider = _get_cloud_provider()
except Exception:
provider = None
if provider is not None:
print(f"🌐 Browser: {provider.provider_name()} (cloud)")
else:
print("🌐 Browser: local headless Chromium (agent-browser)")
print("🌐 Browser: local headless Chromium (agent-browser)")
print()
print(" /browser connect — connect to your live Chrome")
print(" /browser disconnect — revert to default")
@@ -5547,17 +5277,14 @@ class HermesCLI:
# Tool progress callback (audio cues for voice mode)
# ====================================================================
def _on_tool_progress(self, event_type: str, function_name: str = None, preview: str = None, function_args: dict = None, **kwargs):
"""Called on tool lifecycle events (tool.started, tool.completed, reasoning.available, etc.).
def _on_tool_progress(self, function_name: str, preview: str, function_args: dict):
"""Called when a tool starts executing.
Updates the TUI spinner widget so the user can see what the agent
is doing during tool execution (fills the gap between thinking
spinner and next response). Also plays audio cue in voice mode.
"""
# Only act on tool.started; ignore tool.completed, reasoning.available, etc.
if event_type != "tool.started":
return
if function_name and not function_name.startswith("_"):
if not function_name.startswith("_"):
from agent.display import get_tool_emoji
emoji = get_tool_emoji(function_name)
label = preview or function_name
@@ -5570,7 +5297,7 @@ class HermesCLI:
if not self._voice_mode:
return
if not function_name or function_name.startswith("_"):
if function_name.startswith("_"):
return
try:
from tools.voice_mode import play_beep
@@ -6000,7 +5727,7 @@ class HermesCLI:
timeout = CLI_CONFIG.get("clarify", {}).get("timeout", 120)
response_queue = queue.Queue()
is_open_ended = not choices
is_open_ended = not choices or len(choices) == 0
self._clarify_state = {
"question": question,
@@ -6283,6 +6010,14 @@ class HermesCLI:
except Exception:
pass
def _clear_current_input(self) -> None:
if getattr(self, "_app", None):
try:
self._app.current_buffer.text = ""
except Exception:
pass
def chat(self, message, images: list = None) -> Optional[str]:
"""
Send a message to the agent and get a response.
@@ -6449,11 +6184,6 @@ class HermesCLI:
def run_agent():
nonlocal result
agent_message = _voice_prefix + message if _voice_prefix else message
# Prepend pending model switch note so the model knows about the switch
_msn = getattr(self, '_pending_model_switch_note', None)
if _msn:
agent_message = _msn + "\n\n" + agent_message
self._pending_model_switch_note = None
try:
result = self.agent.run_conversation(
user_message=agent_message,
@@ -7513,26 +7243,18 @@ class HermesCLI:
# wrapping of long lines so the input area always fits its content.
def _input_height():
try:
from prompt_toolkit.application import get_app
from prompt_toolkit.utils import get_cwidth
doc = input_area.buffer.document
prompt_width = max(2, get_cwidth(self._get_tui_prompt_text()))
try:
available_width = get_app().output.get_size().columns - prompt_width
except Exception:
available_width = shutil.get_terminal_size((80, 24)).columns - prompt_width
prompt_width = max(2, len(self._get_tui_prompt_text()))
available_width = shutil.get_terminal_size().columns - prompt_width
if available_width < 10:
available_width = 40
visual_lines = 0
for line in doc.lines:
# Each logical line takes at least 1 visual row; long lines wrap.
# Use prompt_toolkit's cell width so CJK wide characters count as 2.
line_width = get_cwidth(line)
if line_width <= 0:
# Each logical line takes at least 1 visual row; long lines wrap
if len(line) == 0:
visual_lines += 1
else:
visual_lines += max(1, -(-line_width // available_width)) # ceil division
visual_lines += max(1, -(-len(line) // available_width)) # ceil division
return min(max(visual_lines, 1), 8)
except Exception:
return 1
@@ -7823,6 +7545,7 @@ class HermesCLI:
title = '🔐 Sudo Password Required'
body = 'Enter password below (hidden), or press Enter to skip'
box_width = _panel_box_width(title, [body])
inner = max(0, box_width - 2)
lines = []
lines.append(('class:sudo-border', '╭─ '))
lines.append(('class:sudo-title', title))
@@ -8124,25 +7847,6 @@ class HermesCLI:
# Periodic config watcher — auto-reload MCP on mcp_servers change
if not self._agent_running:
self._check_config_mcp_changes()
# Check for background process completion notifications
# while the agent is idle (user hasn't typed anything yet).
try:
from tools.process_registry import process_registry
if not process_registry.completion_queue.empty():
completion = process_registry.completion_queue.get_nowait()
_exit = completion.get("exit_code", "?")
_cmd = completion.get("command", "unknown")
_sid = completion.get("session_id", "unknown")
_out = completion.get("output", "")
_synth = (
f"[SYSTEM: Background process {_sid} completed "
f"(exit code {_exit}).\n"
f"Command: {_cmd}\n"
f"Output:\n{_out}]"
)
self._pending_input.put(_synth)
except Exception:
pass
continue
if not user_input:
@@ -8256,29 +7960,7 @@ class HermesCLI:
except Exception as e:
_cprint(f"{_DIM}Voice auto-restart failed: {e}{_RST}")
threading.Thread(target=_restart_recording, daemon=True).start()
# Drain process completion notifications — any background
# process that finished with notify_on_complete while the
# agent was running (or before) gets auto-injected as a
# new user message so the agent can react to it.
try:
from tools.process_registry import process_registry
while not process_registry.completion_queue.empty():
completion = process_registry.completion_queue.get_nowait()
_exit = completion.get("exit_code", "?")
_cmd = completion.get("command", "unknown")
_sid = completion.get("session_id", "unknown")
_out = completion.get("output", "")
_synth = (
f"[SYSTEM: Background process {_sid} completed "
f"(exit code {_exit}).\n"
f"Command: {_cmd}\n"
f"Output:\n{_out}]"
)
self._pending_input.put(_synth)
except Exception:
pass # Non-fatal — don't break the main loop
except Exception as e:
print(f"Error: {e}")
-7
View File
@@ -375,7 +375,6 @@ def create_job(
model: Optional[str] = None,
provider: Optional[str] = None,
base_url: Optional[str] = None,
script: Optional[str] = None,
) -> Dict[str, Any]:
"""
Create a new cron job.
@@ -392,9 +391,6 @@ def create_job(
model: Optional per-job model override
provider: Optional per-job provider override
base_url: Optional per-job base URL override
script: Optional path to a Python script whose stdout is injected into the
prompt each run. The script runs before the agent turn, and its output
is prepended as context. Useful for data collection / change detection.
Returns:
The created job dict
@@ -423,8 +419,6 @@ def create_job(
normalized_model = normalized_model or None
normalized_provider = normalized_provider or None
normalized_base_url = normalized_base_url or None
normalized_script = str(script).strip() if isinstance(script, str) else None
normalized_script = normalized_script or None
label_source = (prompt or (normalized_skills[0] if normalized_skills else None)) or "cron job"
job = {
@@ -436,7 +430,6 @@ def create_job(
"model": normalized_model,
"provider": normalized_provider,
"base_url": normalized_base_url,
"script": normalized_script,
"schedule": parsed_schedule,
"schedule_display": parsed_schedule.get("display", schedule),
"repeat": {
+64 -332
View File
@@ -13,8 +13,8 @@ import concurrent.futures
import json
import logging
import os
import subprocess
import sys
import traceback
# fcntl is Unix-only; on Windows use msvcrt for file locking
try:
@@ -26,26 +26,16 @@ except ImportError:
except ImportError:
msvcrt = None
from pathlib import Path
from typing import Optional
# Add parent directory to path for imports BEFORE repo-level imports.
# Without this, standalone invocations (e.g. after `hermes update` reloads
# the module) fail with ModuleNotFoundError for hermes_time et al.
sys.path.insert(0, str(Path(__file__).parent.parent))
from hermes_constants import get_hermes_home
from hermes_cli.config import load_config
from typing import Optional
from hermes_time import now as _hermes_now
logger = logging.getLogger(__name__)
# Valid delivery platforms — used to validate user-supplied platform names
# in cron delivery targets, preventing env var enumeration via crafted names.
_KNOWN_DELIVERY_PLATFORMS = frozenset({
"telegram", "discord", "slack", "whatsapp", "signal",
"matrix", "mattermost", "homeassistant", "dingtalk", "feishu",
"wecom", "sms", "email", "webhook",
})
# Add parent directory to path for imports
sys.path.insert(0, str(Path(__file__).parent.parent))
from cron.jobs import get_due_jobs, mark_job_run, save_job_output, advance_next_run
@@ -83,51 +73,34 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
return None
if deliver == "origin":
if origin:
return {
"platform": origin["platform"],
"chat_id": str(origin["chat_id"]),
"thread_id": origin.get("thread_id"),
}
# Origin missing (e.g. job created via API/script) — try each
# platform's home channel as a fallback instead of silently dropping.
for platform_name in ("matrix", "telegram", "discord", "slack"):
chat_id = os.getenv(f"{platform_name.upper()}_HOME_CHANNEL", "")
if chat_id:
logger.info(
"Job '%s' has deliver=origin but no origin; falling back to %s home channel",
job.get("name", job.get("id", "?")),
platform_name,
)
return {
"platform": platform_name,
"chat_id": chat_id,
"thread_id": None,
}
return None
if not origin:
return None
return {
"platform": origin["platform"],
"chat_id": str(origin["chat_id"]),
"thread_id": origin.get("thread_id"),
}
if ":" in deliver:
platform_name, rest = deliver.split(":", 1)
platform_key = platform_name.lower()
from tools.send_message_tool import _parse_target_ref
parsed_chat_id, parsed_thread_id, is_explicit = _parse_target_ref(platform_key, rest)
if is_explicit:
chat_id, thread_id = parsed_chat_id, parsed_thread_id
# Check for thread_id suffix (e.g. "telegram:-1003724596514:17")
if ":" in rest:
chat_id, thread_id = rest.split(":", 1)
else:
chat_id, thread_id = rest, None
# Resolve human-friendly labels like "Alice (dm)" to real IDs.
# send_message(action="list") shows labels with display suffixes
# that aren't valid platform IDs (e.g. WhatsApp JIDs).
try:
from gateway.channel_directory import resolve_channel_name
resolved = resolve_channel_name(platform_key, chat_id)
target = chat_id
# Strip display suffix like " (dm)" or " (group)"
if target.endswith(")") and " (" in target:
target = target.rsplit(" (", 1)[0].strip()
resolved = resolve_channel_name(platform_name.lower(), target)
if resolved:
parsed_chat_id, parsed_thread_id, resolved_is_explicit = _parse_target_ref(platform_key, resolved)
if resolved_is_explicit:
chat_id, thread_id = parsed_chat_id, parsed_thread_id
else:
chat_id = resolved
chat_id = resolved
except Exception:
pass
@@ -145,8 +118,6 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
"thread_id": origin.get("thread_id"),
}
if platform_name.lower() not in _KNOWN_DELIVERY_PLATFORMS:
return None
chat_id = os.getenv(f"{platform_name.upper()}_HOME_CHANNEL", "")
if not chat_id:
return None
@@ -158,52 +129,12 @@ def _resolve_delivery_target(job: dict) -> Optional[dict]:
}
# Media extension sets — keep in sync with gateway/platforms/base.py:_process_message_background
_AUDIO_EXTS = frozenset({'.ogg', '.opus', '.mp3', '.wav', '.m4a'})
_VIDEO_EXTS = frozenset({'.mp4', '.mov', '.avi', '.mkv', '.webm', '.3gp'})
_IMAGE_EXTS = frozenset({'.jpg', '.jpeg', '.png', '.webp', '.gif'})
def _send_media_via_adapter(adapter, chat_id: str, media_files: list, metadata: dict | None, loop, job: dict) -> None:
"""Send extracted MEDIA files as native platform attachments via a live adapter.
Routes each file to the appropriate adapter method (send_voice, send_image_file,
send_video, send_document) based on file extension mirroring the routing logic
in ``BasePlatformAdapter._process_message_background``.
"""
from pathlib import Path
for media_path, _is_voice in media_files:
try:
ext = Path(media_path).suffix.lower()
if ext in _AUDIO_EXTS:
coro = adapter.send_voice(chat_id=chat_id, audio_path=media_path, metadata=metadata)
elif ext in _VIDEO_EXTS:
coro = adapter.send_video(chat_id=chat_id, video_path=media_path, metadata=metadata)
elif ext in _IMAGE_EXTS:
coro = adapter.send_image_file(chat_id=chat_id, image_path=media_path, metadata=metadata)
else:
coro = adapter.send_document(chat_id=chat_id, file_path=media_path, metadata=metadata)
future = asyncio.run_coroutine_threadsafe(coro, loop)
result = future.result(timeout=30)
if result and not getattr(result, "success", True):
logger.warning(
"Job '%s': media send failed for %s: %s",
job.get("id", "?"), media_path, getattr(result, "error", "unknown"),
)
except Exception as e:
logger.warning("Job '%s': failed to send media %s: %s", job.get("id", "?"), media_path, e)
def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
def _deliver_result(job: dict, content: str) -> None:
"""
Deliver job output to the configured target (origin chat, specific platform, etc.).
When ``adapters`` and ``loop`` are provided (gateway is running), tries to
use the live adapter first this supports E2EE rooms (e.g. Matrix) where
the standalone HTTP path cannot encrypt. Falls back to standalone send if
the adapter path fails or is unavailable.
Uses the standalone platform send functions from send_message_tool so delivery
works whether or not the gateway is running.
"""
target = _resolve_delivery_target(job)
if not target:
@@ -274,48 +205,8 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
else:
delivery_content = content
# Extract MEDIA: tags so attachments are forwarded as files, not raw text
from gateway.platforms.base import BasePlatformAdapter
media_files, cleaned_delivery_content = BasePlatformAdapter.extract_media(delivery_content)
# Prefer the live adapter when the gateway is running — this supports E2EE
# rooms (e.g. Matrix) where the standalone HTTP path cannot encrypt.
runtime_adapter = (adapters or {}).get(platform)
if runtime_adapter is not None and loop is not None and getattr(loop, "is_running", lambda: False)():
send_metadata = {"thread_id": thread_id} if thread_id else None
try:
# Send cleaned text (MEDIA tags stripped) — not the raw content
text_to_send = cleaned_delivery_content.strip()
adapter_ok = True
if text_to_send:
future = asyncio.run_coroutine_threadsafe(
runtime_adapter.send(chat_id, text_to_send, metadata=send_metadata),
loop,
)
send_result = future.result(timeout=60)
if send_result and not getattr(send_result, "success", True):
err = getattr(send_result, "error", "unknown")
logger.warning(
"Job '%s': live adapter send to %s:%s failed (%s), falling back to standalone",
job["id"], platform_name, chat_id, err,
)
adapter_ok = False # fall through to standalone path
# Send extracted media files as native attachments via the live adapter
if adapter_ok and media_files:
_send_media_via_adapter(runtime_adapter, chat_id, media_files, send_metadata, loop, job)
if adapter_ok:
logger.info("Job '%s': delivered to %s:%s via live adapter", job["id"], platform_name, chat_id)
return
except Exception as e:
logger.warning(
"Job '%s': live adapter delivery to %s:%s failed (%s), falling back to standalone",
job["id"], platform_name, chat_id, e,
)
# Standalone path: run the async send in a fresh event loop (safe from any thread)
coro = _send_to_platform(platform, pconfig, chat_id, cleaned_delivery_content, thread_id=thread_id, media_files=media_files)
# Run the async send in a fresh event loop (safe from any thread)
coro = _send_to_platform(platform, pconfig, chat_id, delivery_content, thread_id=thread_id)
try:
result = asyncio.run(coro)
except RuntimeError:
@@ -326,7 +217,7 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
coro.close()
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, cleaned_delivery_content, thread_id=thread_id, media_files=media_files))
future = pool.submit(asyncio.run, _send_to_platform(platform, pconfig, chat_id, delivery_content, thread_id=thread_id))
result = future.result(timeout=30)
except Exception as e:
logger.error("Job '%s': delivery to %s:%s failed: %s", job["id"], platform_name, chat_id, e)
@@ -338,132 +229,22 @@ def _deliver_result(job: dict, content: str, adapters=None, loop=None) -> None:
logger.info("Job '%s': delivered to %s:%s", job["id"], platform_name, chat_id)
_SCRIPT_TIMEOUT = 120 # seconds
def _run_job_script(script_path: str) -> tuple[bool, str]:
"""Execute a cron job's data-collection script and capture its output.
Scripts must reside within HERMES_HOME/scripts/. Both relative and
absolute paths are resolved and validated against this directory to
prevent arbitrary script execution via path traversal or absolute
path injection.
Args:
script_path: Path to a Python script. Relative paths are resolved
against HERMES_HOME/scripts/. Absolute and ~-prefixed paths
are also validated to ensure they stay within the scripts dir.
Returns:
(success, output) on failure *output* contains the error message so the
LLM can report the problem to the user.
"""
from hermes_constants import get_hermes_home
scripts_dir = get_hermes_home() / "scripts"
scripts_dir.mkdir(parents=True, exist_ok=True)
scripts_dir_resolved = scripts_dir.resolve()
raw = Path(script_path).expanduser()
if raw.is_absolute():
path = raw.resolve()
else:
path = (scripts_dir / raw).resolve()
# Guard against path traversal, absolute path injection, and symlink
# escape — scripts MUST reside within HERMES_HOME/scripts/.
try:
path.relative_to(scripts_dir_resolved)
except ValueError:
return False, (
f"Blocked: script path resolves outside the scripts directory "
f"({scripts_dir_resolved}): {script_path!r}"
)
if not path.exists():
return False, f"Script not found: {path}"
if not path.is_file():
return False, f"Script path is not a file: {path}"
try:
result = subprocess.run(
[sys.executable, str(path)],
capture_output=True,
text=True,
timeout=_SCRIPT_TIMEOUT,
cwd=str(path.parent),
)
stdout = (result.stdout or "").strip()
stderr = (result.stderr or "").strip()
if result.returncode != 0:
parts = [f"Script exited with code {result.returncode}"]
if stderr:
parts.append(f"stderr:\n{stderr}")
if stdout:
parts.append(f"stdout:\n{stdout}")
return False, "\n".join(parts)
# Redact any secrets that may appear in script output before
# they are injected into the LLM prompt context.
try:
from agent.redact import redact_sensitive_text
stdout = redact_sensitive_text(stdout)
except Exception:
pass
return True, stdout
except subprocess.TimeoutExpired:
return False, f"Script timed out after {_SCRIPT_TIMEOUT}s: {path}"
except Exception as exc:
return False, f"Script execution failed: {exc}"
def _build_job_prompt(job: dict) -> str:
"""Build the effective prompt for a cron job, optionally loading one or more skills first."""
prompt = job.get("prompt", "")
skills = job.get("skills")
# Run data-collection script if configured, inject output as context.
script_path = job.get("script")
if script_path:
success, script_output = _run_job_script(script_path)
if success:
if script_output:
prompt = (
"## Script Output\n"
"The following data was collected by a pre-run script. "
"Use it as context for your analysis.\n\n"
f"```\n{script_output}\n```\n\n"
f"{prompt}"
)
else:
prompt = (
"[Script ran successfully but produced no output.]\n\n"
f"{prompt}"
)
else:
prompt = (
"## Script Error\n"
"The data-collection script failed. Report this to the user.\n\n"
f"```\n{script_output}\n```\n\n"
f"{prompt}"
)
# Always prepend cron execution guidance so the agent knows how
# delivery works and can suppress delivery when appropriate.
cron_hint = (
"[SYSTEM: You are running as a scheduled cron job. "
"DELIVERY: Your final response will be automatically delivered "
"to the user — do NOT use send_message or try to deliver "
"the output yourself. Just produce your report/output as your "
"final response and the system handles the rest. "
"SILENT: If there is genuinely nothing new to report, respond "
"with exactly \"[SILENT]\" (nothing else) to suppress delivery. "
# Always prepend [SILENT] guidance so the cron agent can suppress
# delivery when it has nothing new or noteworthy to report.
silent_hint = (
"[SYSTEM: If you have a meaningful status report or findings, "
"send them — that is the whole point of this job. Only respond "
"with exactly \"[SILENT]\" (nothing else) when there is genuinely "
"nothing new to report. [SILENT] suppresses delivery to the user. "
"Never combine [SILENT] with content — either report your "
"findings normally, or say [SILENT] and nothing more.]\n\n"
)
prompt = cron_hint + prompt
prompt = silent_hint + prompt
if skills is None:
legacy = job.get("skill")
skills = [legacy] if legacy else []
@@ -536,14 +317,14 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
logger.info("Running job '%s' (ID: %s)", job_name, job_id)
logger.info("Prompt: %s", prompt[:100])
# Inject origin context so the agent's send_message tool knows the chat
if origin:
os.environ["HERMES_SESSION_PLATFORM"] = origin["platform"]
os.environ["HERMES_SESSION_CHAT_ID"] = str(origin["chat_id"])
if origin.get("chat_name"):
os.environ["HERMES_SESSION_CHAT_NAME"] = origin["chat_name"]
try:
# Inject origin context so the agent's send_message tool knows the chat.
# Must be INSIDE the try block so the finally cleanup always runs.
if origin:
os.environ["HERMES_SESSION_PLATFORM"] = origin["platform"]
os.environ["HERMES_SESSION_CHAT_ID"] = str(origin["chat_id"])
if origin.get("chat_name"):
os.environ["HERMES_SESSION_CHAT_NAME"] = origin["chat_name"]
# Re-read .env and config.yaml fresh every run so provider/key
# changes take effect without a gateway restart.
from dotenv import load_dotenv
@@ -663,78 +444,29 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
session_db=_session_db,
)
# Run the agent with an *inactivity*-based timeout: the job can run
# for hours if it's actively calling tools / receiving stream tokens,
# but a hung API call or stuck tool with no activity for the configured
# duration is caught and killed. Default 600s (10 min inactivity);
# override via HERMES_CRON_TIMEOUT env var. 0 = unlimited.
#
# Uses the agent's built-in activity tracker (updated by
# _touch_activity() on every tool call, API call, and stream delta).
# Run the agent with a timeout so a hung API call or tool doesn't
# block the cron ticker thread indefinitely. Default 10 minutes;
# override via env var. Uses a separate thread because
# run_conversation is synchronous.
_cron_timeout = float(os.getenv("HERMES_CRON_TIMEOUT", 600))
_cron_inactivity_limit = _cron_timeout if _cron_timeout > 0 else None
_POLL_INTERVAL = 5.0
_cron_pool = concurrent.futures.ThreadPoolExecutor(max_workers=1)
_cron_future = _cron_pool.submit(agent.run_conversation, prompt)
_inactivity_timeout = False
try:
if _cron_inactivity_limit is None:
# Unlimited — just wait for the result.
result = _cron_future.result()
else:
result = None
while True:
done, _ = concurrent.futures.wait(
{_cron_future}, timeout=_POLL_INTERVAL,
)
if done:
result = _cron_future.result()
break
# Agent still running — check inactivity.
_idle_secs = 0.0
if hasattr(agent, "get_activity_summary"):
try:
_act = agent.get_activity_summary()
_idle_secs = _act.get("seconds_since_activity", 0.0)
except Exception:
pass
if _idle_secs >= _cron_inactivity_limit:
_inactivity_timeout = True
break
except Exception:
_cron_pool.shutdown(wait=False, cancel_futures=True)
raise
finally:
_cron_pool.shutdown(wait=False)
if _inactivity_timeout:
# Build diagnostic summary from the agent's activity tracker.
_activity = {}
if hasattr(agent, "get_activity_summary"):
try:
_activity = agent.get_activity_summary()
except Exception:
pass
_last_desc = _activity.get("last_activity_desc", "unknown")
_secs_ago = _activity.get("seconds_since_activity", 0)
_cur_tool = _activity.get("current_tool")
_iter_n = _activity.get("api_call_count", 0)
_iter_max = _activity.get("max_iterations", 0)
result = _cron_future.result(timeout=_cron_timeout)
except concurrent.futures.TimeoutError:
logger.error(
"Job '%s' idle for %.0fs (inactivity limit %.0fs) "
"| last_activity=%s | iteration=%s/%s | tool=%s",
job_name, _secs_ago, _cron_inactivity_limit,
_last_desc, _iter_n, _iter_max,
_cur_tool or "none",
"Job '%s' timed out after %.0fs — interrupting agent",
job_name, _cron_timeout,
)
if hasattr(agent, "interrupt"):
agent.interrupt("Cron job timed out (inactivity)")
agent.interrupt("Cron job timed out")
_cron_pool.shutdown(wait=False, cancel_futures=True)
raise TimeoutError(
f"Cron job '{job_name}' idle for "
f"{int(_secs_ago)}s (limit {int(_cron_inactivity_limit)}s) "
f"— last activity: {_last_desc}"
f"Cron job '{job_name}' timed out after "
f"{int(_cron_timeout // 60)} minutes"
)
finally:
_cron_pool.shutdown(wait=False)
final_response = result.get("final_response", "") or ""
# Use a separate variable for log display; keep final_response clean
@@ -761,7 +493,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
except Exception as e:
error_msg = f"{type(e).__name__}: {str(e)}"
logger.exception("Job '%s' failed: %s", job_name, error_msg)
logger.error("Job '%s' failed: %s", job_name, error_msg)
output = f"""# Cron Job: {job_name} (FAILED)
@@ -777,6 +509,8 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
```
{error_msg}
{traceback.format_exc()}
```
"""
return False, output, "", error_msg
@@ -803,7 +537,7 @@ def run_job(job: dict) -> tuple[bool, str, str, Optional[str]]:
logger.debug("Job '%s': failed to close SQLite session store: %s", job_id, e)
def tick(verbose: bool = True, adapters=None, loop=None) -> int:
def tick(verbose: bool = True) -> int:
"""
Check and run all due jobs.
@@ -812,8 +546,6 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
Args:
verbose: Whether to print status messages
adapters: Optional dict mapping Platform live adapter (from gateway)
loop: Optional asyncio event loop (from gateway) for live adapter sends
Returns:
Number of jobs executed (0 if another tick is already running)
@@ -864,13 +596,13 @@ def tick(verbose: bool = True, adapters=None, loop=None) -> int:
# output is already saved above). Failed jobs always deliver.
deliver_content = final_response if success else f"⚠️ Cron job '{job.get('name', job['id'])}' failed:\n{error}"
should_deliver = bool(deliver_content)
if should_deliver and success and SILENT_MARKER in deliver_content.strip().upper():
if should_deliver and success and deliver_content.strip().upper().startswith(SILENT_MARKER):
logger.info("Job '%s': agent returned %s — skipping delivery", job["id"], SILENT_MARKER)
should_deliver = False
if should_deliver:
try:
_deliver_result(job, deliver_content, adapters=adapters, loop=loop)
_deliver_result(job, deliver_content)
except Exception as de:
logger.error("Delivery failed for job %s: %s", job["id"], de)
+1 -2
View File
@@ -24,8 +24,7 @@ from pathlib import Path
logger = logging.getLogger("hooks.boot-md")
from hermes_constants import get_hermes_home
HERMES_HOME = get_hermes_home()
HERMES_HOME = Path(os.environ.get("HERMES_HOME", Path.home() / ".hermes"))
BOOT_FILE = HERMES_HOME / "BOOT.md"
+14 -27
View File
@@ -12,27 +12,12 @@ from datetime import datetime
from typing import Any, Dict, List, Optional
from hermes_cli.config import get_hermes_home
from utils import atomic_json_write
logger = logging.getLogger(__name__)
DIRECTORY_PATH = get_hermes_home() / "channel_directory.json"
def _normalize_channel_query(value: str) -> str:
return value.lstrip("#").strip().lower()
def _channel_target_name(platform_name: str, channel: Dict[str, Any]) -> str:
"""Return the human-facing target label shown to users for a channel entry."""
name = channel["name"]
if platform_name == "discord" and channel.get("guild"):
return f"#{name}"
if platform_name != "discord" and channel.get("type"):
return f"{name} ({channel['type']})"
return name
def _session_entry_id(origin: Dict[str, Any]) -> Optional[str]:
chat_id = origin.get("chat_id")
if not chat_id:
@@ -87,7 +72,9 @@ def build_channel_directory(adapters: Dict[Any, Any]) -> Dict[str, Any]:
}
try:
atomic_json_write(DIRECTORY_PATH, directory)
DIRECTORY_PATH.parent.mkdir(parents=True, exist_ok=True)
with open(DIRECTORY_PATH, "w", encoding="utf-8") as f:
json.dump(directory, f, indent=2, ensure_ascii=False)
except Exception as e:
logger.warning("Channel directory: failed to write: %s", e)
@@ -124,6 +111,7 @@ def _build_discord(adapter) -> List[Dict[str, str]]:
def _build_slack(adapter) -> List[Dict[str, str]]:
"""List Slack channels the bot has joined."""
channels = []
# Slack adapter may expose a web client
client = getattr(adapter, "_app", None) or getattr(adapter, "_client", None)
if not client:
@@ -200,25 +188,23 @@ def resolve_channel_name(platform_name: str, name: str) -> Optional[str]:
if not channels:
return None
query = _normalize_channel_query(name)
query = name.lstrip("#").lower()
# 1. Exact name match, including the display labels shown by send_message(action="list")
# 1. Exact name match
for ch in channels:
if _normalize_channel_query(ch["name"]) == query:
return ch["id"]
if _normalize_channel_query(_channel_target_name(platform_name, ch)) == query:
if ch["name"].lower() == query:
return ch["id"]
# 2. Guild-qualified match for Discord ("GuildName/channel")
if "/" in query:
guild_part, ch_part = query.rsplit("/", 1)
for ch in channels:
guild = ch.get("guild", "").strip().lower()
if guild == guild_part and _normalize_channel_query(ch["name"]) == ch_part:
guild = ch.get("guild", "").lower()
if guild == guild_part and ch["name"].lower() == ch_part:
return ch["id"]
# 3. Partial prefix match (only if unambiguous)
matches = [ch for ch in channels if _normalize_channel_query(ch["name"]).startswith(query)]
matches = [ch for ch in channels if ch["name"].lower().startswith(query)]
if len(matches) == 1:
return matches[0]["id"]
@@ -253,16 +239,17 @@ def format_directory_for_display() -> str:
for guild_name, guild_channels in sorted(guilds.items()):
lines.append(f"Discord ({guild_name}):")
for ch in sorted(guild_channels, key=lambda c: c["name"]):
lines.append(f" discord:{_channel_target_name(plat_name, ch)}")
lines.append(f" discord:#{ch['name']}")
if dms:
lines.append("Discord (DMs):")
for ch in dms:
lines.append(f" discord:{_channel_target_name(plat_name, ch)}")
lines.append(f" discord:{ch['name']}")
lines.append("")
else:
lines.append(f"{plat_name.title()}:")
for ch in channels:
lines.append(f" {plat_name}:{_channel_target_name(plat_name, ch)}")
type_label = f" ({ch['type']})" if ch.get("type") else ""
lines.append(f" {plat_name}:{ch['name']}{type_label}")
lines.append("")
lines.append('Use these as the "target" parameter when sending.')
-24
View File
@@ -246,7 +246,6 @@ class GatewayConfig:
# Session isolation in shared chats
group_sessions_per_user: bool = True # Isolate group/channel sessions per participant when user IDs are available
thread_sessions_per_user: bool = False # When False (default), threads are shared across all participants
# Unauthorized DM policy
unauthorized_dm_behavior: str = "pair" # "pair" or "ignore"
@@ -334,7 +333,6 @@ class GatewayConfig:
"always_log_local": self.always_log_local,
"stt_enabled": self.stt_enabled,
"group_sessions_per_user": self.group_sessions_per_user,
"thread_sessions_per_user": self.thread_sessions_per_user,
"unauthorized_dm_behavior": self.unauthorized_dm_behavior,
"streaming": self.streaming.to_dict(),
}
@@ -378,7 +376,6 @@ class GatewayConfig:
stt_enabled = data.get("stt", {}).get("enabled") if isinstance(data.get("stt"), dict) else None
group_sessions_per_user = data.get("group_sessions_per_user")
thread_sessions_per_user = data.get("thread_sessions_per_user")
unauthorized_dm_behavior = _normalize_unauthorized_dm_behavior(
data.get("unauthorized_dm_behavior"),
"pair",
@@ -395,7 +392,6 @@ class GatewayConfig:
always_log_local=data.get("always_log_local", True),
stt_enabled=_coerce_bool(stt_enabled, True),
group_sessions_per_user=_coerce_bool(group_sessions_per_user, True),
thread_sessions_per_user=_coerce_bool(thread_sessions_per_user, False),
unauthorized_dm_behavior=unauthorized_dm_behavior,
streaming=StreamingConfig.from_dict(data.get("streaming", {})),
)
@@ -471,9 +467,6 @@ def load_gateway_config() -> GatewayConfig:
if "group_sessions_per_user" in yaml_cfg:
gw_data["group_sessions_per_user"] = yaml_cfg["group_sessions_per_user"]
if "thread_sessions_per_user" in yaml_cfg:
gw_data["thread_sessions_per_user"] = yaml_cfg["thread_sessions_per_user"]
streaming_cfg = yaml_cfg.get("streaming")
if isinstance(streaming_cfg, dict):
gw_data["streaming"] = streaming_cfg
@@ -582,20 +575,6 @@ def load_gateway_config() -> GatewayConfig:
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["WHATSAPP_FREE_RESPONSE_CHATS"] = str(frc)
# Matrix settings → env vars (env vars take precedence)
matrix_cfg = yaml_cfg.get("matrix", {})
if isinstance(matrix_cfg, dict):
if "require_mention" in matrix_cfg and not os.getenv("MATRIX_REQUIRE_MENTION"):
os.environ["MATRIX_REQUIRE_MENTION"] = str(matrix_cfg["require_mention"]).lower()
frc = matrix_cfg.get("free_response_rooms")
if frc is not None and not os.getenv("MATRIX_FREE_RESPONSE_ROOMS"):
if isinstance(frc, list):
frc = ",".join(str(v) for v in frc)
os.environ["MATRIX_FREE_RESPONSE_ROOMS"] = str(frc)
if "auto_thread" in matrix_cfg and not os.getenv("MATRIX_AUTO_THREAD"):
os.environ["MATRIX_AUTO_THREAD"] = str(matrix_cfg["auto_thread"]).lower()
except Exception as e:
logger.warning(
"Failed to process config.yaml — falling back to .env / gateway.json values. "
@@ -779,9 +758,6 @@ def _apply_env_overrides(config: GatewayConfig) -> None:
config.platforms[Platform.MATRIX].extra["password"] = matrix_password
matrix_e2ee = os.getenv("MATRIX_ENCRYPTION", "").lower() in ("true", "1", "yes")
config.platforms[Platform.MATRIX].extra["encryption"] = matrix_e2ee
matrix_device_id = os.getenv("MATRIX_DEVICE_ID", "")
if matrix_device_id:
config.platforms[Platform.MATRIX].extra["device_id"] = matrix_device_id
matrix_home = os.getenv("MATRIX_HOME_ROOM")
if matrix_home and Platform.MATRIX in config.platforms:
config.platforms[Platform.MATRIX].home_channel = HomeChannel(
+35 -1
View File
@@ -314,4 +314,38 @@ def parse_deliver_spec(
return deliver
def build_delivery_context_for_tool(
config: GatewayConfig,
origin: Optional[SessionSource] = None
) -> Dict[str, Any]:
"""
Build context for the unified cronjob tool to understand delivery options.
This is passed to the tool so it can validate and explain delivery targets.
"""
connected = config.get_connected_platforms()
options = {
"origin": {
"description": "Back to where this job was created",
"available": origin is not None,
},
"local": {
"description": "Save to local files only",
"available": True,
}
}
for platform in connected:
home = config.get_home_channel(platform)
options[platform.value] = {
"description": f"{platform.value.title()} home channel",
"available": True,
"home_channel": home.to_dict() if home else None,
}
return {
"origin": origin.to_dict() if origin else None,
"options": options,
"always_log_local": config.always_log_local,
}
+54 -79
View File
@@ -21,8 +21,6 @@ Storage: ~/.hermes/pairing/
import json
import os
import secrets
import tempfile
import threading
import time
from pathlib import Path
from typing import Optional
@@ -47,29 +45,13 @@ PAIRING_DIR = get_hermes_dir("platforms/pairing", "pairing")
def _secure_write(path: Path, data: str) -> None:
"""Write data to file with restrictive permissions (owner read/write only).
Uses a temp-file + atomic rename so readers always see either the old
complete file or the new one never a partial write.
"""
"""Write data to file with restrictive permissions (owner read/write only)."""
path.parent.mkdir(parents=True, exist_ok=True)
fd, tmp_path = tempfile.mkstemp(dir=str(path.parent), suffix=".tmp")
path.write_text(data, encoding="utf-8")
try:
with os.fdopen(fd, "w", encoding="utf-8") as f:
f.write(data)
f.flush()
os.fsync(f.fileno())
os.replace(tmp_path, str(path))
try:
os.chmod(path, 0o600)
except OSError:
pass # Windows doesn't support chmod the same way
except BaseException:
try:
os.unlink(tmp_path)
except OSError:
pass
raise
os.chmod(path, 0o600)
except OSError:
pass # Windows doesn't support chmod the same way
class PairingStore:
@@ -84,9 +66,6 @@ class PairingStore:
def __init__(self):
PAIRING_DIR.mkdir(parents=True, exist_ok=True)
# Protects all read-modify-write cycles. The gateway runs multiple
# platform adapters concurrently in threads sharing one PairingStore.
self._lock = threading.RLock()
def _pending_path(self, platform: str) -> Path:
return PAIRING_DIR / f"{platform}-pending.json"
@@ -126,7 +105,7 @@ class PairingStore:
return results
def _approve_user(self, platform: str, user_id: str, user_name: str = "") -> None:
"""Add a user to the approved list. Must be called under self._lock."""
"""Add a user to the approved list."""
approved = self._load_json(self._approved_path(platform))
approved[user_id] = {
"user_name": user_name,
@@ -137,12 +116,11 @@ class PairingStore:
def revoke(self, platform: str, user_id: str) -> bool:
"""Remove a user from the approved list. Returns True if found."""
path = self._approved_path(platform)
with self._lock:
approved = self._load_json(path)
if user_id in approved:
del approved[user_id]
self._save_json(path, approved)
return True
approved = self._load_json(path)
if user_id in approved:
del approved[user_id]
self._save_json(path, approved)
return True
return False
# ----- Pending codes -----
@@ -158,37 +136,36 @@ class PairingStore:
- Max pending codes reached for this platform
- User/platform is in lockout due to failed attempts
"""
with self._lock:
self._cleanup_expired(platform)
self._cleanup_expired(platform)
# Check lockout
if self._is_locked_out(platform):
return None
# Check lockout
if self._is_locked_out(platform):
return None
# Check rate limit for this specific user
if self._is_rate_limited(platform, user_id):
return None
# Check rate limit for this specific user
if self._is_rate_limited(platform, user_id):
return None
# Check max pending
pending = self._load_json(self._pending_path(platform))
if len(pending) >= MAX_PENDING_PER_PLATFORM:
return None
# Check max pending
pending = self._load_json(self._pending_path(platform))
if len(pending) >= MAX_PENDING_PER_PLATFORM:
return None
# Generate cryptographically random code
code = "".join(secrets.choice(ALPHABET) for _ in range(CODE_LENGTH))
# Generate cryptographically random code
code = "".join(secrets.choice(ALPHABET) for _ in range(CODE_LENGTH))
# Store pending request
pending[code] = {
"user_id": user_id,
"user_name": user_name,
"created_at": time.time(),
}
self._save_json(self._pending_path(platform), pending)
# Store pending request
pending[code] = {
"user_id": user_id,
"user_name": user_name,
"created_at": time.time(),
}
self._save_json(self._pending_path(platform), pending)
# Record rate limit
self._record_rate_limit(platform, user_id)
# Record rate limit
self._record_rate_limit(platform, user_id)
return code
return code
def approve_code(self, platform: str, code: str) -> Optional[dict]:
"""
@@ -196,25 +173,24 @@ class PairingStore:
Returns {user_id, user_name} on success, None if code is invalid/expired.
"""
with self._lock:
self._cleanup_expired(platform)
code = code.upper().strip()
self._cleanup_expired(platform)
code = code.upper().strip()
pending = self._load_json(self._pending_path(platform))
if code not in pending:
self._record_failed_attempt(platform)
return None
pending = self._load_json(self._pending_path(platform))
if code not in pending:
self._record_failed_attempt(platform)
return None
entry = pending.pop(code)
self._save_json(self._pending_path(platform), pending)
entry = pending.pop(code)
self._save_json(self._pending_path(platform), pending)
# Add to approved list
self._approve_user(platform, entry["user_id"], entry.get("user_name", ""))
# Add to approved list
self._approve_user(platform, entry["user_id"], entry.get("user_name", ""))
return {
"user_id": entry["user_id"],
"user_name": entry.get("user_name", ""),
}
return {
"user_id": entry["user_id"],
"user_name": entry.get("user_name", ""),
}
def list_pending(self, platform: str = None) -> list:
"""List pending pairing requests, optionally filtered by platform."""
@@ -236,13 +212,12 @@ class PairingStore:
def clear_pending(self, platform: str = None) -> int:
"""Clear all pending requests. Returns count removed."""
with self._lock:
count = 0
platforms = [platform] if platform else self._all_platforms("pending")
for p in platforms:
pending = self._load_json(self._pending_path(p))
count += len(pending)
self._save_json(self._pending_path(p), {})
count = 0
platforms = [platform] if platform else self._all_platforms("pending")
for p in platforms:
pending = self._load_json(self._pending_path(p))
count += len(pending)
self._save_json(self._pending_path(p), {})
return count
# ----- Rate limiting and lockout -----
-265
View File
@@ -7,8 +7,6 @@ Exposes an HTTP server with endpoints:
- GET /v1/responses/{response_id} Retrieve a stored response
- DELETE /v1/responses/{response_id} Delete a stored response
- GET /v1/models lists hermes-agent as an available model
- POST /v1/runs start a run, returns run_id immediately (202)
- GET /v1/runs/{run_id}/events SSE stream of structured lifecycle events
- GET /health health check
Any OpenAI-compatible frontend (Open WebUI, LobeChat, LibreChat,
@@ -302,10 +300,6 @@ class APIServerAdapter(BasePlatformAdapter):
self._runner: Optional["web.AppRunner"] = None
self._site: Optional["web.TCPSite"] = None
self._response_store = ResponseStore()
# Active run streams: run_id -> asyncio.Queue of SSE event dicts
self._run_streams: Dict[str, "asyncio.Queue[Optional[Dict]]"] = {}
# Creation timestamps for orphaned-run TTL sweep
self._run_streams_created: Dict[str, float] = {}
self._session_db: Optional[Any] = None # Lazy-init SessionDB for session continuity
@staticmethod
@@ -427,11 +421,6 @@ class APIServerAdapter(BasePlatformAdapter):
max_iterations = int(os.getenv("HERMES_MAX_ITERATIONS", "90"))
# Load fallback provider chain so the API server platform has the
# same fallback behaviour as Telegram/Discord/Slack (fixes #4954).
from gateway.run import GatewayRunner
fallback_model = GatewayRunner._load_fallback_model()
agent = AIAgent(
model=model,
**runtime_kwargs,
@@ -445,7 +434,6 @@ class APIServerAdapter(BasePlatformAdapter):
stream_delta_callback=stream_delta_callback,
tool_progress_callback=tool_progress_callback,
session_db=self._ensure_session_db(),
fallback_model=fallback_model,
)
return agent
@@ -974,18 +962,6 @@ class APIServerAdapter(BasePlatformAdapter):
resume_job as _cron_resume,
trigger_job as _cron_trigger,
)
# Wrap as staticmethod to prevent descriptor binding — these are plain
# module functions, not instance methods. Without this, self._cron_*()
# injects ``self`` as the first positional argument and every call
# raises TypeError.
_cron_list = staticmethod(_cron_list)
_cron_get = staticmethod(_cron_get)
_cron_create = staticmethod(_cron_create)
_cron_update = staticmethod(_cron_update)
_cron_remove = staticmethod(_cron_remove)
_cron_pause = staticmethod(_cron_pause)
_cron_resume = staticmethod(_cron_resume)
_cron_trigger = staticmethod(_cron_trigger)
_CRON_AVAILABLE = True
except ImportError:
pass
@@ -1305,236 +1281,6 @@ class APIServerAdapter(BasePlatformAdapter):
return await loop.run_in_executor(None, _run)
# ------------------------------------------------------------------
# /v1/runs — structured event streaming
# ------------------------------------------------------------------
_MAX_CONCURRENT_RUNS = 10 # Prevent unbounded resource allocation
_RUN_STREAM_TTL = 300 # seconds before orphaned runs are swept
def _make_run_event_callback(self, run_id: str, loop: "asyncio.AbstractEventLoop"):
"""Return a tool_progress_callback that pushes structured events to the run's SSE queue."""
def _push(event: Dict[str, Any]) -> None:
q = self._run_streams.get(run_id)
if q is None:
return
try:
loop.call_soon_threadsafe(q.put_nowait, event)
except Exception:
pass
def _callback(event_type: str, tool_name: str = None, preview: str = None, args=None, **kwargs):
ts = time.time()
if event_type == "tool.started":
_push({
"event": "tool.started",
"run_id": run_id,
"timestamp": ts,
"tool": tool_name,
"preview": preview,
})
elif event_type == "tool.completed":
_push({
"event": "tool.completed",
"run_id": run_id,
"timestamp": ts,
"tool": tool_name,
"duration": round(kwargs.get("duration", 0), 3),
"error": kwargs.get("is_error", False),
})
elif event_type == "reasoning.available":
_push({
"event": "reasoning.available",
"run_id": run_id,
"timestamp": ts,
"text": preview or "",
})
# _thinking and subagent_progress are intentionally not forwarded
return _callback
async def _handle_runs(self, request: "web.Request") -> "web.Response":
"""POST /v1/runs — start an agent run, return run_id immediately."""
auth_err = self._check_auth(request)
if auth_err:
return auth_err
# Enforce concurrency limit
if len(self._run_streams) >= self._MAX_CONCURRENT_RUNS:
return web.json_response(
_openai_error(f"Too many concurrent runs (max {self._MAX_CONCURRENT_RUNS})", code="rate_limit_exceeded"),
status=429,
)
try:
body = await request.json()
except Exception:
return web.json_response(_openai_error("Invalid JSON"), status=400)
raw_input = body.get("input")
if not raw_input:
return web.json_response(_openai_error("Missing 'input' field"), status=400)
user_message = raw_input if isinstance(raw_input, str) else (raw_input[-1].get("content", "") if isinstance(raw_input, list) else "")
if not user_message:
return web.json_response(_openai_error("No user message found in input"), status=400)
run_id = f"run_{uuid.uuid4().hex}"
loop = asyncio.get_running_loop()
q: "asyncio.Queue[Optional[Dict]]" = asyncio.Queue()
self._run_streams[run_id] = q
self._run_streams_created[run_id] = time.time()
event_cb = self._make_run_event_callback(run_id, loop)
# Also wire stream_delta_callback so message.delta events flow through
def _text_cb(delta: Optional[str]) -> None:
if delta is None:
return
try:
loop.call_soon_threadsafe(q.put_nowait, {
"event": "message.delta",
"run_id": run_id,
"timestamp": time.time(),
"delta": delta,
})
except Exception:
pass
instructions = body.get("instructions")
previous_response_id = body.get("previous_response_id")
conversation_history: List[Dict[str, str]] = []
if previous_response_id:
stored = self._response_store.get(previous_response_id)
if stored:
conversation_history = list(stored.get("conversation_history", []))
if instructions is None:
instructions = stored.get("instructions")
session_id = body.get("session_id") or run_id
ephemeral_system_prompt = instructions
async def _run_and_close():
try:
agent = self._create_agent(
ephemeral_system_prompt=ephemeral_system_prompt,
session_id=session_id,
stream_delta_callback=_text_cb,
tool_progress_callback=event_cb,
)
def _run_sync():
r = agent.run_conversation(
user_message=user_message,
conversation_history=conversation_history,
)
u = {
"input_tokens": getattr(agent, "session_prompt_tokens", 0) or 0,
"output_tokens": getattr(agent, "session_completion_tokens", 0) or 0,
"total_tokens": getattr(agent, "session_total_tokens", 0) or 0,
}
return r, u
result, usage = await asyncio.get_running_loop().run_in_executor(None, _run_sync)
final_response = result.get("final_response", "") if isinstance(result, dict) else ""
q.put_nowait({
"event": "run.completed",
"run_id": run_id,
"timestamp": time.time(),
"output": final_response,
"usage": usage,
})
except Exception as exc:
logger.exception("[api_server] run %s failed", run_id)
try:
q.put_nowait({
"event": "run.failed",
"run_id": run_id,
"timestamp": time.time(),
"error": str(exc),
})
except Exception:
pass
finally:
# Sentinel: signal SSE stream to close
try:
q.put_nowait(None)
except Exception:
pass
task = asyncio.create_task(_run_and_close())
try:
self._background_tasks.add(task)
except TypeError:
pass
if hasattr(task, "add_done_callback"):
task.add_done_callback(self._background_tasks.discard)
return web.json_response({"run_id": run_id, "status": "started"}, status=202)
async def _handle_run_events(self, request: "web.Request") -> "web.StreamResponse":
"""GET /v1/runs/{run_id}/events — SSE stream of structured agent lifecycle events."""
auth_err = self._check_auth(request)
if auth_err:
return auth_err
run_id = request.match_info["run_id"]
# Allow subscribing slightly before the run is registered (race condition window)
for _ in range(20):
if run_id in self._run_streams:
break
await asyncio.sleep(0.05)
else:
return web.json_response(_openai_error(f"Run not found: {run_id}", code="run_not_found"), status=404)
q = self._run_streams[run_id]
response = web.StreamResponse(
status=200,
headers={
"Content-Type": "text/event-stream",
"Cache-Control": "no-cache",
"X-Accel-Buffering": "no",
},
)
await response.prepare(request)
try:
while True:
try:
event = await asyncio.wait_for(q.get(), timeout=30.0)
except asyncio.TimeoutError:
await response.write(b": keepalive\n\n")
continue
if event is None:
# Run finished — send final SSE comment and close
await response.write(b": stream closed\n\n")
break
payload = f"data: {json.dumps(event)}\n\n"
await response.write(payload.encode())
except Exception as exc:
logger.debug("[api_server] SSE stream error for run %s: %s", run_id, exc)
finally:
self._run_streams.pop(run_id, None)
self._run_streams_created.pop(run_id, None)
return response
async def _sweep_orphaned_runs(self) -> None:
"""Periodically clean up run streams that were never consumed."""
while True:
await asyncio.sleep(60)
now = time.time()
stale = [
run_id
for run_id, created_at in list(self._run_streams_created.items())
if now - created_at > self._RUN_STREAM_TTL
]
for run_id in stale:
logger.debug("[api_server] sweeping orphaned run %s", run_id)
self._run_streams.pop(run_id, None)
self._run_streams_created.pop(run_id, None)
# ------------------------------------------------------------------
# BasePlatformAdapter interface
# ------------------------------------------------------------------
@@ -1565,17 +1311,6 @@ class APIServerAdapter(BasePlatformAdapter):
self._app.router.add_post("/api/jobs/{job_id}/pause", self._handle_pause_job)
self._app.router.add_post("/api/jobs/{job_id}/resume", self._handle_resume_job)
self._app.router.add_post("/api/jobs/{job_id}/run", self._handle_run_job)
# Structured event streaming
self._app.router.add_post("/v1/runs", self._handle_runs)
self._app.router.add_get("/v1/runs/{run_id}/events", self._handle_run_events)
# Start background sweep to clean up orphaned (unconsumed) run streams
sweep_task = asyncio.create_task(self._sweep_orphaned_runs())
try:
self._background_tasks.add(sweep_task)
except TypeError:
pass
if hasattr(sweep_task, "add_done_callback"):
sweep_task.add_done_callback(self._background_tasks.discard)
# Port conflict detection — fail fast if port is already in use
import socket as _socket
+23 -134
View File
@@ -12,7 +12,6 @@ import random
import re
import uuid
from abc import ABC, abstractmethod
from urllib.parse import urlsplit
logger = logging.getLogger(__name__)
from dataclasses import dataclass, field
@@ -27,6 +26,7 @@ sys.path.insert(0, str(_Path(__file__).resolve().parents[2]))
from gateway.config import Platform, PlatformConfig
from gateway.session import SessionSource, build_session_key
from hermes_cli.config import get_hermes_home
from hermes_constants import get_hermes_dir
@@ -36,43 +36,6 @@ GATEWAY_SECRET_CAPTURE_UNSUPPORTED_MESSAGE = (
)
def _safe_url_for_log(url: str, max_len: int = 80) -> str:
"""Return a URL string safe for logs (no query/fragment/userinfo)."""
if max_len <= 0:
return ""
if url is None:
return ""
raw = str(url)
if not raw:
return ""
try:
parsed = urlsplit(raw)
except Exception:
return raw[:max_len]
if parsed.scheme and parsed.netloc:
# Strip potential embedded credentials (user:pass@host).
netloc = parsed.netloc.rsplit("@", 1)[-1]
base = f"{parsed.scheme}://{netloc}"
path = parsed.path or ""
if path and path != "/":
basename = path.rsplit("/", 1)[-1]
safe = f"{base}/.../{basename}" if basename else f"{base}/..."
else:
safe = base
else:
safe = raw
if len(safe) <= max_len:
return safe
if max_len <= 3:
return "." * max_len
return f"{safe[:max_len - 3]}..."
# ---------------------------------------------------------------------------
# Image cache utilities
#
@@ -149,14 +112,8 @@ async def cache_image_from_url(url: str, ext: str = ".jpg", retries: int = 2) ->
raise
if attempt < retries:
wait = 1.5 * (attempt + 1)
_log.debug(
"Media cache retry %d/%d for %s (%.1fs): %s",
attempt + 1,
retries,
_safe_url_for_log(url),
wait,
exc,
)
_log.debug("Media cache retry %d/%d for %s (%.1fs): %s",
attempt + 1, retries, url[:80], wait, exc)
await asyncio.sleep(wait)
continue
raise
@@ -257,14 +214,8 @@ async def cache_audio_from_url(url: str, ext: str = ".ogg", retries: int = 2) ->
raise
if attempt < retries:
wait = 1.5 * (attempt + 1)
_log.debug(
"Audio cache retry %d/%d for %s (%.1fs): %s",
attempt + 1,
retries,
_safe_url_for_log(url),
wait,
exc,
)
_log.debug("Audio cache retry %d/%d for %s (%.1fs): %s",
attempt + 1, retries, url[:80], wait, exc)
await asyncio.sleep(wait)
continue
raise
@@ -426,26 +377,23 @@ class SendResult:
message_id: Optional[str] = None
error: Optional[str] = None
raw_response: Any = None
retryable: bool = False # True for transient connection errors — base will retry automatically
retryable: bool = False # True for transient errors (network, timeout) — base will retry automatically
# Error substrings that indicate a transient *connection* failure worth retrying.
# "timeout" / "timed out" / "readtimeout" / "writetimeout" are intentionally
# excluded: a read/write timeout on a non-idempotent call (e.g. send_message)
# means the request may have reached the server — retrying risks duplicate
# delivery. "connecttimeout" is safe because the connection was never
# established. Platforms that know a timeout is safe to retry should set
# SendResult.retryable = True explicitly.
# Error substrings that indicate a transient network failure worth retrying
_RETRYABLE_ERROR_PATTERNS = (
"connecterror",
"connectionerror",
"connectionreset",
"connectionrefused",
"connecttimeout",
"timeout",
"timed out",
"network",
"broken pipe",
"remotedisconnected",
"eoferror",
"readtimeout",
"writetimeout",
)
@@ -484,9 +432,6 @@ class BasePlatformAdapter(ABC):
self._background_tasks: set[asyncio.Task] = set()
# Chats where auto-TTS on voice input is disabled (set by /voice off)
self._auto_tts_disabled_chats: set = set()
# Chats where typing indicator is paused (e.g. during approval waits).
# _keep_typing skips send_typing when the chat_id is in this set.
self._typing_paused: set = set()
@property
def has_fatal_error(self) -> bool:
@@ -571,16 +516,6 @@ class BasePlatformAdapter(ABC):
"""
self._message_handler = handler
def set_session_store(self, session_store: Any) -> None:
"""
Set the session store for checking active sessions.
Used by adapters that need to check if a thread/conversation
has an active session before processing messages (e.g., Slack
thread replies without explicit mentions).
"""
self._session_store = session_store
@abstractmethod
async def connect(self) -> bool:
"""
@@ -946,16 +881,10 @@ class BasePlatformAdapter(ABC):
Telegram/Discord typing status expires after ~5 seconds, so we refresh every 2
to recover quickly after progress messages interrupt it.
Skips send_typing when the chat is in ``_typing_paused`` (e.g. while
the agent is waiting for dangerous-command approval). This is critical
for Slack's Assistant API where ``assistant_threads_setStatus`` disables
the compose box pausing lets the user type ``/approve`` or ``/deny``.
"""
try:
while True:
if chat_id not in self._typing_paused:
await self.send_typing(chat_id, metadata=metadata)
await self.send_typing(chat_id, metadata=metadata)
await asyncio.sleep(interval)
except asyncio.CancelledError:
pass # Normal cancellation when handler completes
@@ -969,20 +898,7 @@ class BasePlatformAdapter(ABC):
await self.stop_typing(chat_id)
except Exception:
pass
self._typing_paused.discard(chat_id)
def pause_typing_for_chat(self, chat_id: str) -> None:
"""Pause typing indicator for a chat (e.g. during approval waits).
Thread-safe (CPython GIL) can be called from the sync agent thread
while ``_keep_typing`` runs on the async event loop.
"""
self._typing_paused.add(chat_id)
def resume_typing_for_chat(self, chat_id: str) -> None:
"""Resume typing indicator for a chat after approval resolves."""
self._typing_paused.discard(chat_id)
# ── Processing lifecycle hooks ──────────────────────────────────────────
# Subclasses override these to react to message processing events
# (e.g. Discord adds 👀/✅/❌ reactions).
@@ -1011,18 +927,6 @@ class BasePlatformAdapter(ABC):
lowered = error.lower()
return any(pat in lowered for pat in _RETRYABLE_ERROR_PATTERNS)
@staticmethod
def _is_timeout_error(error: Optional[str]) -> bool:
"""Return True if the error string indicates a read/write timeout.
Timeout errors are NOT retryable and should NOT trigger plain-text
fallback the request may have already been delivered.
"""
if not error:
return False
lowered = error.lower()
return "timed out" in lowered or "readtimeout" in lowered or "writetimeout" in lowered
async def _send_with_retry(
self,
chat_id: str,
@@ -1054,11 +958,6 @@ class BasePlatformAdapter(ABC):
error_str = result.error or ""
is_network = result.retryable or self._is_retryable_error(error_str)
# Timeout errors are not safe to retry (message may have been
# delivered) and not formatting errors — return the failure as-is.
if not is_network and self._is_timeout_error(error_str):
return result
if is_network:
# Retry with exponential backoff for transient errors
for attempt in range(1, max_retries + 1):
@@ -1119,25 +1018,20 @@ class BasePlatformAdapter(ABC):
session_key = build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
# Check if there's already an active handler for this session
if session_key in self._active_sessions:
# Certain commands must bypass the active-session guard and be
# dispatched directly to the gateway runner. Without this, they
# are queued as pending messages and either:
# - leak into the conversation as user text (/stop, /new), or
# - deadlock (/approve, /deny — agent is blocked on Event.wait)
#
# Dispatch inline: call the message handler directly and send the
# response. Do NOT use _process_message_background — it manages
# session lifecycle and its cleanup races with the running task
# (see PR #4926).
# /approve and /deny must bypass the active-session guard.
# The agent thread is blocked on threading.Event.wait() inside
# tools/approval.py — queuing these commands creates a deadlock:
# the agent waits for approval, approval waits for agent to finish.
# Dispatch directly to the message handler without touching session
# lifecycle (no competing background task, no session guard removal).
cmd = event.get_command()
if cmd in ("approve", "deny", "status", "stop", "new", "reset"):
if cmd in ("approve", "deny"):
logger.debug(
"[%s] Command '/%s' bypassing active-session guard for %s",
"[%s] Approval command '/%s' bypassing active-session guard for %s",
self.name, cmd, session_key,
)
try:
@@ -1151,7 +1045,7 @@ class BasePlatformAdapter(ABC):
metadata=_thread_meta,
)
except Exception as e:
logger.error("[%s] Command '/%s' dispatch failed: %s", self.name, cmd, e, exc_info=True)
logger.error("[%s] Approval dispatch failed: %s", self.name, e, exc_info=True)
return
# Special case: photo bursts/albums frequently arrive as multiple near-
@@ -1329,12 +1223,7 @@ class BasePlatformAdapter(ABC):
if human_delay > 0:
await asyncio.sleep(human_delay)
try:
logger.info(
"[%s] Sending image: %s (alt=%s)",
self.name,
_safe_url_for_log(image_url),
alt_text[:30] if alt_text else "",
)
logger.info("[%s] Sending image: %s (alt=%s)", self.name, image_url[:80], alt_text[:30] if alt_text else "")
# Route animated GIFs through send_animation for proper playback
if self._is_animation_url(image_url):
img_result = await self.send_animation(
+13 -474
View File
@@ -502,6 +502,19 @@ class DiscordAdapter(BasePlatformAdapter):
self._set_fatal_error('discord_token_lock', message, retryable=False)
return False
# Set up intents -- members intent needed for username-to-ID resolution
intents = Intents.default()
intents.message_content = True
intents.dm_messages = True
intents.guild_messages = True
intents.members = True
intents.voice_states = True
# Create bot
self._client = commands.Bot(
command_prefix="!", # Not really used, we handle raw messages
intents=intents,
)
# Parse allowed user entries (may contain usernames or IDs)
allowed_env = os.getenv("DISCORD_ALLOWED_USERS", "")
@@ -511,25 +524,6 @@ class DiscordAdapter(BasePlatformAdapter):
if uid.strip()
}
# Set up intents.
# Message Content is required for normal text replies.
# Server Members is only needed when the allowlist contains usernames
# that must be resolved to numeric IDs. Requesting privileged intents
# that aren't enabled in the Discord Developer Portal can prevent the
# bot from coming online at all, so avoid requesting members intent
# unless it is actually necessary.
intents = Intents.default()
intents.message_content = True
intents.dm_messages = True
intents.guild_messages = True
intents.members = any(not entry.isdigit() for entry in self._allowed_user_ids)
intents.voice_states = True
# Create bot
self._client = commands.Bot(
command_prefix="!", # Not really used, we handle raw messages
intents=intents,
)
adapter_self = self # capture for closure
# Register event handlers
@@ -654,23 +648,9 @@ class DiscordAdapter(BasePlatformAdapter):
except asyncio.TimeoutError:
logger.error("[%s] Timeout waiting for connection to Discord", self.name, exc_info=True)
try:
from gateway.status import release_scoped_lock
if getattr(self, '_token_lock_identity', None):
release_scoped_lock('discord-bot-token', self._token_lock_identity)
self._token_lock_identity = None
except Exception:
pass
return False
except Exception as e: # pragma: no cover - defensive logging
logger.error("[%s] Failed to connect to Discord: %s", self.name, e, exc_info=True)
try:
from gateway.status import release_scoped_lock
if getattr(self, '_token_lock_identity', None):
release_scoped_lock('discord-bot-token', self._token_lock_identity)
self._token_lock_identity = None
except Exception:
pass
return False
async def disconnect(self) -> None:
@@ -1680,62 +1660,6 @@ class DiscordAdapter(BasePlatformAdapter):
await interaction.response.defer(ephemeral=True)
await self._handle_thread_create_slash(interaction, name, message, auto_archive_duration)
@tree.command(name="queue", description="Queue a prompt for the next turn (doesn't interrupt)")
@discord.app_commands.describe(prompt="The prompt to queue")
async def slash_queue(interaction: discord.Interaction, prompt: str):
await self._run_simple_slash(interaction, f"/queue {prompt}", "Queued for the next turn.")
@tree.command(name="background", description="Run a prompt in the background")
@discord.app_commands.describe(prompt="The prompt to run in the background")
async def slash_background(interaction: discord.Interaction, prompt: str):
await self._run_simple_slash(interaction, f"/background {prompt}", "Background task started~")
@tree.command(name="btw", description="Ephemeral side question using session context")
@discord.app_commands.describe(question="Your side question (no tools, not persisted)")
async def slash_btw(interaction: discord.Interaction, question: str):
await self._run_simple_slash(interaction, f"/btw {question}")
# Register installed skills as native slash commands (parity with
# Telegram, which uses telegram_menu_commands() in commands.py).
# Discord allows up to 100 application commands globally.
_DISCORD_CMD_LIMIT = 100
try:
from hermes_cli.commands import discord_skill_commands
existing_names = {cmd.name for cmd in tree.get_commands()}
remaining_slots = max(0, _DISCORD_CMD_LIMIT - len(existing_names))
skill_entries, skipped = discord_skill_commands(
max_slots=remaining_slots,
reserved_names=existing_names,
)
for discord_name, description, cmd_key in skill_entries:
# Closure factory to capture cmd_key per iteration
def _make_skill_handler(_key: str):
async def _skill_slash(interaction: discord.Interaction, args: str = ""):
await self._run_simple_slash(interaction, f"{_key} {args}".strip())
return _skill_slash
handler = _make_skill_handler(cmd_key)
handler.__name__ = f"skill_{discord_name.replace('-', '_')}"
cmd = discord.app_commands.Command(
name=discord_name,
description=description,
callback=handler,
)
discord.app_commands.describe(args="Optional arguments for the skill")(cmd)
tree.add_command(cmd)
if skipped:
logger.warning(
"[%s] Discord slash command limit reached (%d): %d skill(s) not registered",
self.name, _DISCORD_CMD_LIMIT, skipped,
)
except Exception as exc:
logger.warning("[%s] Failed to register skill slash commands: %s", self.name, exc)
def _build_slash_event(self, interaction: discord.Interaction, text: str) -> MessageEvent:
"""Build a MessageEvent from a Discord slash command interaction."""
is_dm = isinstance(interaction.channel, discord.DMChannel)
@@ -2008,97 +1932,6 @@ class DiscordAdapter(BasePlatformAdapter):
except Exception as e:
return SendResult(success=False, error=str(e))
async def send_update_prompt(
self, chat_id: str, prompt: str, default: str = "",
session_key: str = "",
) -> SendResult:
"""Send an interactive button-based update prompt (Yes / No).
Used by the gateway ``/update`` watcher when ``hermes update --gateway``
needs user input (stash restore, config migration).
"""
if not self._client or not DISCORD_AVAILABLE:
return SendResult(success=False, error="Not connected")
try:
channel = self._client.get_channel(int(chat_id))
if not channel:
channel = await self._client.fetch_channel(int(chat_id))
default_hint = f" (default: {default})" if default else ""
embed = discord.Embed(
title="⚕ Update Needs Your Input",
description=f"{prompt}{default_hint}",
color=discord.Color.gold(),
)
view = UpdatePromptView(
session_key=session_key,
allowed_user_ids=self._allowed_user_ids,
)
msg = await channel.send(embed=embed, view=view)
return SendResult(success=True, message_id=str(msg.id))
except Exception as e:
return SendResult(success=False, error=str(e))
async def send_model_picker(
self,
chat_id: str,
providers: list,
current_model: str,
current_provider: str,
session_key: str,
on_model_selected,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send an interactive select-menu model picker.
Two-step drill-down: provider dropdown model dropdown.
Uses Discord embeds + Select menus via ``ModelPickerView``.
"""
if not self._client or not DISCORD_AVAILABLE:
return SendResult(success=False, error="Not connected")
try:
# Resolve target channel (use thread_id if present)
target_id = chat_id
if metadata and metadata.get("thread_id"):
target_id = metadata["thread_id"]
channel = self._client.get_channel(int(target_id))
if not channel:
channel = await self._client.fetch_channel(int(target_id))
try:
from hermes_cli.providers import get_label
provider_label = get_label(current_provider)
except Exception:
provider_label = current_provider
embed = discord.Embed(
title="⚙ Model Configuration",
description=(
f"Current model: `{current_model or 'unknown'}`\n"
f"Provider: {provider_label}\n\n"
f"Select a provider:"
),
color=discord.Color.blue(),
)
view = ModelPickerView(
providers=providers,
current_model=current_model,
current_provider=current_provider,
session_key=session_key,
on_model_selected=on_model_selected,
allowed_user_ids=self._allowed_user_ids,
)
msg = await channel.send(embed=embed, view=view)
return SendResult(success=True, message_id=str(msg.id))
except Exception as e:
logger.warning("[%s] send_model_picker failed: %s", self.name, e)
return SendResult(success=False, error=str(e))
def _get_parent_channel_id(self, channel: Any) -> Optional[str]:
"""Return the parent channel ID for a Discord thread-like channel, if present."""
parent = getattr(channel, "parent", None)
@@ -2511,297 +2344,3 @@ if DISCORD_AVAILABLE:
self.resolved = True
for child in self.children:
child.disabled = True
class UpdatePromptView(discord.ui.View):
"""Interactive Yes/No buttons for ``hermes update`` prompts.
Clicking a button writes the answer to ``.update_response`` so the
detached update process can pick it up. Only authorized users can
click. Times out after 5 minutes (the update process also has a
5-minute timeout on its side).
"""
def __init__(self, session_key: str, allowed_user_ids: set):
super().__init__(timeout=300)
self.session_key = session_key
self.allowed_user_ids = allowed_user_ids
self.resolved = False
def _check_auth(self, interaction: discord.Interaction) -> bool:
if not self.allowed_user_ids:
return True
return str(interaction.user.id) in self.allowed_user_ids
async def _respond(
self, interaction: discord.Interaction, answer: str,
color: discord.Color, label: str,
):
if self.resolved:
await interaction.response.send_message(
"Already answered~", ephemeral=True
)
return
if not self._check_auth(interaction):
await interaction.response.send_message(
"You're not authorized~", ephemeral=True
)
return
self.resolved = True
# Update embed
embed = interaction.message.embeds[0] if interaction.message.embeds else None
if embed:
embed.color = color
embed.set_footer(text=f"{label} by {interaction.user.display_name}")
for child in self.children:
child.disabled = True
await interaction.response.edit_message(embed=embed, view=self)
# Write response file
try:
from hermes_constants import get_hermes_home
home = get_hermes_home()
response_path = home / ".update_response"
tmp = response_path.with_suffix(".tmp")
tmp.write_text(answer)
tmp.replace(response_path)
logger.info(
"Discord update prompt answered '%s' by %s",
answer, interaction.user.display_name,
)
except Exception as exc:
logger.error("Failed to write update response: %s", exc)
@discord.ui.button(label="Yes", style=discord.ButtonStyle.green, emoji="")
async def yes_btn(
self, interaction: discord.Interaction, button: discord.ui.Button
):
await self._respond(interaction, "y", discord.Color.green(), "Yes")
@discord.ui.button(label="No", style=discord.ButtonStyle.red, emoji="")
async def no_btn(
self, interaction: discord.Interaction, button: discord.ui.Button
):
await self._respond(interaction, "n", discord.Color.red(), "No")
async def on_timeout(self):
self.resolved = True
for child in self.children:
child.disabled = True
class ModelPickerView(discord.ui.View):
"""Interactive select-menu view for model switching.
Two-step drill-down: provider dropdown model dropdown.
Edits the original message in-place as the user navigates.
Times out after 2 minutes.
"""
def __init__(
self,
providers: list,
current_model: str,
current_provider: str,
session_key: str,
on_model_selected,
allowed_user_ids: set,
):
super().__init__(timeout=120)
self.providers = providers
self.current_model = current_model
self.current_provider = current_provider
self.session_key = session_key
self.on_model_selected = on_model_selected
self.allowed_user_ids = allowed_user_ids
self.resolved = False
self._selected_provider: str = ""
self._build_provider_select()
def _check_auth(self, interaction: discord.Interaction) -> bool:
if not self.allowed_user_ids:
return True
return str(interaction.user.id) in self.allowed_user_ids
def _build_provider_select(self):
"""Build the provider dropdown menu."""
self.clear_items()
options = []
for p in self.providers:
count = p.get("total_models", len(p.get("models", [])))
label = f"{p['name']} ({count} models)"
desc = "current" if p.get("is_current") else None
options.append(
discord.SelectOption(
label=label[:100],
value=p["slug"],
description=desc,
)
)
if not options:
return
select = discord.ui.Select(
placeholder="Choose a provider...",
options=options[:25],
custom_id="model_provider_select",
)
select.callback = self._on_provider_selected
self.add_item(select)
cancel_btn = discord.ui.Button(
label="Cancel", style=discord.ButtonStyle.red, custom_id="model_cancel"
)
cancel_btn.callback = self._on_cancel
self.add_item(cancel_btn)
def _build_model_select(self, provider_slug: str):
"""Build the model dropdown for a specific provider."""
self.clear_items()
provider = next(
(p for p in self.providers if p["slug"] == provider_slug), None
)
if not provider:
return
models = provider.get("models", [])
options = []
for model_id in models[:25]:
short = model_id.split("/")[-1] if "/" in model_id else model_id
options.append(
discord.SelectOption(
label=short[:100],
value=model_id[:100],
)
)
if not options:
return
select = discord.ui.Select(
placeholder=f"Choose a model from {provider.get('name', provider_slug)}...",
options=options,
custom_id="model_model_select",
)
select.callback = self._on_model_selected
self.add_item(select)
back_btn = discord.ui.Button(
label="◀ Back", style=discord.ButtonStyle.grey, custom_id="model_back"
)
back_btn.callback = self._on_back
self.add_item(back_btn)
cancel_btn = discord.ui.Button(
label="Cancel", style=discord.ButtonStyle.red, custom_id="model_cancel2"
)
cancel_btn.callback = self._on_cancel
self.add_item(cancel_btn)
async def _on_provider_selected(self, interaction: discord.Interaction):
if not self._check_auth(interaction):
await interaction.response.send_message(
"You're not authorized~", ephemeral=True
)
return
provider_slug = interaction.data["values"][0]
self._selected_provider = provider_slug
provider = next(
(p for p in self.providers if p["slug"] == provider_slug), None
)
pname = provider.get("name", provider_slug) if provider else provider_slug
self._build_model_select(provider_slug)
total = provider.get("total_models", 0) if provider else 0
shown = min(len(provider.get("models", [])), 25) if provider else 0
extra = f"\n*{total - shown} more available — type `/model <name>` directly*" if total > shown else ""
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Model Configuration",
description=f"Provider: **{pname}**\nSelect a model:{extra}",
color=discord.Color.blue(),
),
view=self,
)
async def _on_model_selected(self, interaction: discord.Interaction):
if self.resolved:
await interaction.response.send_message(
"Already resolved~", ephemeral=True
)
return
if not self._check_auth(interaction):
await interaction.response.send_message(
"You're not authorized~", ephemeral=True
)
return
self.resolved = True
model_id = interaction.data["values"][0]
try:
result_text = await self.on_model_selected(
str(interaction.channel_id),
model_id,
self._selected_provider,
)
except Exception as exc:
result_text = f"Error switching model: {exc}"
self.clear_items()
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Model Switched",
description=result_text,
color=discord.Color.green(),
),
view=self,
)
async def _on_back(self, interaction: discord.Interaction):
if not self._check_auth(interaction):
await interaction.response.send_message(
"You're not authorized~", ephemeral=True
)
return
self._build_provider_select()
try:
from hermes_cli.providers import get_label
provider_label = get_label(self.current_provider)
except Exception:
provider_label = self.current_provider
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Model Configuration",
description=(
f"Current model: `{self.current_model or 'unknown'}`\n"
f"Provider: {provider_label}\n\n"
f"Select a provider:"
),
color=discord.Color.blue(),
),
view=self,
)
async def _on_cancel(self, interaction: discord.Interaction):
self.resolved = True
self.clear_items()
await interaction.response.edit_message(
embed=discord.Embed(
title="⚙ Model Configuration",
description="Model selection cancelled.",
color=discord.Color.greyple(),
),
view=self,
)
async def on_timeout(self):
self.resolved = True
self.clear_items()
+22 -207
View File
@@ -60,6 +60,7 @@ try:
CreateMessageRequestBody,
GetChatRequest,
GetMessageRequest,
GetImageRequest,
GetMessageResourceRequest,
P2ImMessageMessageReadV1,
ReplyMessageRequest,
@@ -269,22 +270,6 @@ class FeishuAdapterSettings:
webhook_host: str
webhook_port: int
webhook_path: str
ws_reconnect_nonce: int = 30
ws_reconnect_interval: int = 120
ws_ping_interval: Optional[int] = None
ws_ping_timeout: Optional[int] = None
admins: frozenset[str] = frozenset()
default_group_policy: str = ""
group_rules: Dict[str, FeishuGroupRule] = field(default_factory=dict)
@dataclass
class FeishuGroupRule:
"""Per-group policy rule for controlling which users may interact with the bot."""
policy: str # "open" | "allowlist" | "blacklist" | "admin_only" | "disabled"
allowlist: set[str] = field(default_factory=set)
blacklist: set[str] = field(default_factory=set)
@dataclass
@@ -373,20 +358,6 @@ def _strip_markdown_to_plain_text(text: str) -> str:
return plain.strip()
def _coerce_int(value: Any, default: Optional[int] = None, min_value: int = 0) -> Optional[int]:
"""Coerce value to int with optional default and minimum constraint."""
try:
parsed = int(value)
except (TypeError, ValueError):
return default
return parsed if parsed >= min_value else default
def _coerce_required_int(value: Any, default: int, min_value: int = 0) -> int:
parsed = _coerce_int(value, default=default, min_value=min_value)
return default if parsed is None else parsed
# ---------------------------------------------------------------------------
# Post payload builders and parsers
# ---------------------------------------------------------------------------
@@ -942,66 +913,14 @@ def _unique_lines(lines: List[str]) -> List[str]:
return unique
def _run_official_feishu_ws_client(ws_client: Any, adapter: Any) -> None:
def _run_official_feishu_ws_client(ws_client: Any) -> None:
"""Run the official Lark WS client in its own thread-local event loop."""
import lark_oapi.ws.client as ws_client_module
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
ws_client_module.loop = loop
adapter._ws_thread_loop = loop
original_connect = ws_client_module.websockets.connect
original_configure = getattr(ws_client, "_configure", None)
def _apply_runtime_ws_overrides() -> None:
try:
setattr(ws_client, "_reconnect_nonce", adapter._ws_reconnect_nonce)
setattr(ws_client, "_reconnect_interval", adapter._ws_reconnect_interval)
if adapter._ws_ping_interval is not None:
setattr(ws_client, "_ping_interval", adapter._ws_ping_interval)
except Exception:
logger.debug("[Feishu] Failed to apply websocket runtime overrides", exc_info=True)
async def _connect_with_overrides(*args: Any, **kwargs: Any) -> Any:
if adapter._ws_ping_interval is not None and "ping_interval" not in kwargs:
kwargs["ping_interval"] = adapter._ws_ping_interval
if adapter._ws_ping_timeout is not None and "ping_timeout" not in kwargs:
kwargs["ping_timeout"] = adapter._ws_ping_timeout
return await original_connect(*args, **kwargs)
def _configure_with_overrides(conf: Any) -> Any:
assert original_configure is not None
result = original_configure(conf)
_apply_runtime_ws_overrides()
return result
ws_client_module.websockets.connect = _connect_with_overrides
if original_configure is not None:
setattr(ws_client, "_configure", _configure_with_overrides)
_apply_runtime_ws_overrides()
try:
ws_client.start()
except Exception:
pass
finally:
ws_client_module.websockets.connect = original_connect
if original_configure is not None:
setattr(ws_client, "_configure", original_configure)
pending = [t for t in asyncio.all_tasks(loop) if not t.done()]
for task in pending:
task.cancel()
if pending:
loop.run_until_complete(asyncio.gather(*pending, return_exceptions=True))
try:
loop.stop()
except Exception:
pass
try:
loop.close()
except Exception:
pass
adapter._ws_thread_loop = None
ws_client.start()
def check_feishu_requirements() -> bool:
@@ -1026,11 +945,10 @@ class FeishuAdapter(BasePlatformAdapter):
self._client: Optional[Any] = None
self._ws_client: Optional[Any] = None
self._ws_future: Optional[asyncio.Future] = None
self._ws_thread_loop: Optional[asyncio.AbstractEventLoop] = None
self._loop: Optional[asyncio.AbstractEventLoop] = None
self._webhook_runner: Optional[Any] = None
self._webhook_site: Optional[Any] = None
self._event_handler: Optional[Any] = None
self._event_handler = self._build_event_handler()
self._seen_message_ids: Dict[str, float] = {} # message_id → seen_at (time.time())
self._seen_message_order: List[str] = []
self._dedup_state_path = get_hermes_home() / "feishu_seen_message_ids.json"
@@ -1056,26 +974,6 @@ class FeishuAdapter(BasePlatformAdapter):
@staticmethod
def _load_settings(extra: Dict[str, Any]) -> FeishuAdapterSettings:
# Parse per-group rules from config
raw_group_rules = extra.get("group_rules", {})
group_rules: Dict[str, FeishuGroupRule] = {}
if isinstance(raw_group_rules, dict):
for chat_id, rule_cfg in raw_group_rules.items():
if not isinstance(rule_cfg, dict):
continue
group_rules[str(chat_id)] = FeishuGroupRule(
policy=str(rule_cfg.get("policy", "open")).strip().lower(),
allowlist=set(str(u).strip() for u in rule_cfg.get("allowlist", []) if str(u).strip()),
blacklist=set(str(u).strip() for u in rule_cfg.get("blacklist", []) if str(u).strip()),
)
# Bot-level admins
raw_admins = extra.get("admins", [])
admins = frozenset(str(u).strip() for u in raw_admins if str(u).strip())
# Default group policy (for groups not in group_rules)
default_group_policy = str(extra.get("default_group_policy", "")).strip().lower()
return FeishuAdapterSettings(
app_id=str(extra.get("app_id") or os.getenv("FEISHU_APP_ID", "")).strip(),
app_secret=str(extra.get("app_secret") or os.getenv("FEISHU_APP_SECRET", "")).strip(),
@@ -1122,13 +1020,6 @@ class FeishuAdapter(BasePlatformAdapter):
str(extra.get("webhook_path") or os.getenv("FEISHU_WEBHOOK_PATH", _DEFAULT_WEBHOOK_PATH)).strip()
or _DEFAULT_WEBHOOK_PATH
),
ws_reconnect_nonce=_coerce_required_int(extra.get("ws_reconnect_nonce"), default=30, min_value=0),
ws_reconnect_interval=_coerce_required_int(extra.get("ws_reconnect_interval"), default=120, min_value=1),
ws_ping_interval=_coerce_int(extra.get("ws_ping_interval"), default=None, min_value=1),
ws_ping_timeout=_coerce_int(extra.get("ws_ping_timeout"), default=None, min_value=1),
admins=admins,
default_group_policy=default_group_policy,
group_rules=group_rules,
)
def _apply_settings(self, settings: FeishuAdapterSettings) -> None:
@@ -1140,9 +1031,6 @@ class FeishuAdapter(BasePlatformAdapter):
self._verification_token = settings.verification_token
self._group_policy = settings.group_policy
self._allowed_group_users = set(settings.allowed_group_users)
self._admins = set(settings.admins)
self._default_group_policy = settings.default_group_policy or settings.group_policy
self._group_rules = settings.group_rules
self._bot_open_id = settings.bot_open_id
self._bot_user_id = settings.bot_user_id
self._bot_name = settings.bot_name
@@ -1154,10 +1042,6 @@ class FeishuAdapter(BasePlatformAdapter):
self._webhook_host = settings.webhook_host
self._webhook_port = settings.webhook_port
self._webhook_path = settings.webhook_path
self._ws_reconnect_nonce = settings.ws_reconnect_nonce
self._ws_reconnect_interval = settings.ws_reconnect_interval
self._ws_ping_interval = settings.ws_ping_interval
self._ws_ping_timeout = settings.ws_ping_timeout
def _build_event_handler(self) -> Any:
if EventDispatcherHandler is None:
@@ -1232,37 +1116,8 @@ class FeishuAdapter(BasePlatformAdapter):
self._reset_batch_buffers()
self._disable_websocket_auto_reconnect()
await self._stop_webhook_server()
ws_thread_loop = self._ws_thread_loop
if ws_thread_loop is not None and not ws_thread_loop.is_closed():
logger.debug("[Feishu] Cancelling websocket thread tasks and stopping loop")
def cancel_all_tasks() -> None:
tasks = [t for t in asyncio.all_tasks(ws_thread_loop) if not t.done()]
logger.debug("[Feishu] Found %d pending tasks in websocket thread", len(tasks))
for task in tasks:
task.cancel()
ws_thread_loop.call_later(0.1, ws_thread_loop.stop)
ws_thread_loop.call_soon_threadsafe(cancel_all_tasks)
ws_future = self._ws_future
if ws_future is not None:
try:
logger.debug("[Feishu] Waiting for websocket thread to exit (timeout=10s)")
await asyncio.wait_for(asyncio.shield(ws_future), timeout=10.0)
logger.debug("[Feishu] Websocket thread exited cleanly")
except asyncio.TimeoutError:
logger.warning("[Feishu] Websocket thread did not exit within 10s - may be stuck")
except asyncio.CancelledError:
logger.debug("[Feishu] Websocket thread cancelled during disconnect")
except Exception as exc:
logger.debug("[Feishu] Websocket thread exited with error: %s", exc, exc_info=True)
self._ws_future = None
self._ws_thread_loop = None
self._loop = None
self._event_handler = None
self._persist_seen_message_ids()
await self._release_app_lock()
@@ -1621,13 +1476,12 @@ class FeishuAdapter(BasePlatformAdapter):
def _on_message_event(self, data: Any) -> None:
"""Normalize Feishu inbound events into MessageEvent."""
loop = self._loop
if loop is None or bool(getattr(loop, "is_closed", lambda: False)()):
if self._loop is None:
logger.warning("[Feishu] Dropping inbound message before adapter loop is ready")
return
future = asyncio.run_coroutine_threadsafe(
self._handle_message_event_data(data),
loop,
self._loop,
)
future.add_done_callback(self._log_background_failure)
@@ -1650,8 +1504,7 @@ class FeishuAdapter(BasePlatformAdapter):
return
chat_type = getattr(message, "chat_type", "p2p")
chat_id = getattr(message, "chat_id", "") or ""
if chat_type != "p2p" and not self._should_accept_group_message(message, sender_id, chat_id):
if chat_type != "p2p" and not self._should_accept_group_message(message, sender_id):
logger.debug("[Feishu] Dropping group message that failed mention/policy gate: %s", message_id)
return
await self._process_inbound_message(
@@ -1700,30 +1553,27 @@ class FeishuAdapter(BasePlatformAdapter):
)
# Only process reactions from real users. Ignore app/bot-generated reactions
# and Hermes' own ACK emoji to avoid feedback loops.
loop = self._loop
if (
operator_type in {"bot", "app"}
or emoji_type == _FEISHU_ACK_EMOJI
or not message_id
or loop is None
or bool(getattr(loop, "is_closed", lambda: False)())
or self._loop is None
):
return
future = asyncio.run_coroutine_threadsafe(
self._handle_reaction_event(event_type, data),
loop,
self._loop,
)
future.add_done_callback(self._log_background_failure)
def _on_card_action_trigger(self, data: Any) -> Any:
"""Schedule Feishu card actions on the adapter loop and acknowledge immediately."""
loop = self._loop
if loop is None or bool(getattr(loop, "is_closed", lambda: False)()):
if self._loop is None:
logger.warning("[Feishu] Dropping card action before adapter loop is ready")
else:
future = asyncio.run_coroutine_threadsafe(
self._handle_card_action_event(data),
loop,
self._loop,
)
future.add_done_callback(self._log_background_failure)
if P2CardActionTriggerResponse is None:
@@ -2037,7 +1887,6 @@ class FeishuAdapter(BasePlatformAdapter):
session_key = build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
return f"{session_key}:media:{event.message_type.value}"
@@ -2233,7 +2082,7 @@ class FeishuAdapter(BasePlatformAdapter):
event_type = str((payload.get("header") or {}).get("event_type") or "")
data = self._namespace_from_mapping(payload)
if event_type == "im.message.receive_v1":
self._on_message_event(data)
await self._handle_message_event_data(data)
elif event_type == "im.message.message_read_v1":
self._on_message_read_event(data)
elif event_type == "im.chat.member.bot.added_v1":
@@ -2243,7 +2092,7 @@ class FeishuAdapter(BasePlatformAdapter):
elif event_type in ("im.message.reaction.created_v1", "im.message.reaction.deleted_v1"):
self._on_reaction_event(event_type, data)
elif event_type == "card.action.trigger":
self._on_card_action_trigger(data)
asyncio.ensure_future(self._handle_card_action_event(data))
else:
logger.debug("[Feishu] Ignoring webhook event type: %s", event_type or "unknown")
return web.json_response({"code": 0, "msg": "ok"})
@@ -2314,7 +2163,6 @@ class FeishuAdapter(BasePlatformAdapter):
return build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
@staticmethod
@@ -2807,41 +2655,18 @@ class FeishuAdapter(BasePlatformAdapter):
# Group policy and mention gating
# =========================================================================
def _allow_group_message(self, sender_id: Any, chat_id: str = "") -> bool:
"""Per-group policy gate for non-DM traffic."""
sender_open_id = getattr(sender_id, "open_id", None)
sender_user_id = getattr(sender_id, "user_id", None)
sender_ids = {sender_open_id, sender_user_id} - {None}
if sender_ids and self._admins and (sender_ids & self._admins):
return True
rule = self._group_rules.get(chat_id) if chat_id else None
if rule:
policy = rule.policy
allowlist = rule.allowlist
blacklist = rule.blacklist
else:
policy = self._default_group_policy or self._group_policy
allowlist = self._allowed_group_users
blacklist = set()
if policy == "disabled":
def _allow_group_message(self, sender_id: Any) -> bool:
"""Current group policy gate for non-DM traffic."""
if self._group_policy == "disabled":
return False
if policy == "open":
sender_open_id = getattr(sender_id, "open_id", None) or getattr(sender_id, "user_id", None)
if self._group_policy == "open":
return True
if policy == "admin_only":
return False
if policy == "allowlist":
return bool(sender_ids and (sender_ids & allowlist))
if policy == "blacklist":
return bool(sender_ids and not (sender_ids & blacklist))
return bool(sender_open_id and sender_open_id in self._allowed_group_users)
return bool(sender_ids and (sender_ids & self._allowed_group_users))
def _should_accept_group_message(self, message: Any, sender_id: Any, chat_id: str = "") -> bool:
def _should_accept_group_message(self, message: Any, sender_id: Any) -> bool:
"""Require an explicit @mention before group messages enter the agent."""
if not self._allow_group_message(sender_id, chat_id):
if not self._allow_group_message(sender_id):
return False
# @_all is Feishu's @everyone placeholder — always route to the bot.
raw_content = getattr(message, "content", "") or ""
@@ -3138,12 +2963,6 @@ class FeishuAdapter(BasePlatformAdapter):
raise RuntimeError("websockets not installed; websocket mode unavailable")
domain = FEISHU_DOMAIN if self._domain_name != "lark" else LARK_DOMAIN
self._client = self._build_lark_client(domain)
self._event_handler = self._build_event_handler()
if self._event_handler is None:
raise RuntimeError("failed to build Feishu event handler")
loop = self._loop
if loop is None or loop.is_closed():
raise RuntimeError("adapter loop is not ready")
await self._hydrate_bot_identity()
self._ws_client = FeishuWSClient(
app_id=self._app_id,
@@ -3152,11 +2971,10 @@ class FeishuAdapter(BasePlatformAdapter):
event_handler=self._event_handler,
domain=domain,
)
self._ws_future = loop.run_in_executor(
self._ws_future = self._loop.run_in_executor(
None,
_run_official_feishu_ws_client,
self._ws_client,
self,
)
async def _connect_webhook(self) -> None:
@@ -3164,9 +2982,6 @@ class FeishuAdapter(BasePlatformAdapter):
raise RuntimeError("aiohttp not installed; webhook mode unavailable")
domain = FEISHU_DOMAIN if self._domain_name != "lark" else LARK_DOMAIN
self._client = self._build_lark_client(domain)
self._event_handler = self._build_event_handler()
if self._event_handler is None:
raise RuntimeError("failed to build Feishu event handler")
await self._hydrate_bot_identity()
app = web.Application()
app.router.add_post(self._webhook_path, self._handle_webhook_request)
File diff suppressed because it is too large Load Diff
+1 -19
View File
@@ -430,6 +430,7 @@ class MattermostAdapter(BasePlatformAdapter):
ct = resp.content_type or "application/octet-stream"
break
except (aiohttp.ClientError, asyncio.TimeoutError) as exc:
last_exc = exc
if attempt < 2:
await asyncio.sleep(1.5 * (attempt + 1))
continue
@@ -512,16 +513,6 @@ class MattermostAdapter(BasePlatformAdapter):
except Exception as exc:
if self._closing:
return
# Detect permanent auth/permission failures that will never
# succeed on retry — stop reconnecting instead of looping forever.
import aiohttp
err_str = str(exc).lower()
if isinstance(exc, aiohttp.WSServerHandshakeError) and exc.status in (401, 403):
logger.error("Mattermost WS auth failed (HTTP %d) — stopping reconnect", exc.status)
return
if "401" in err_str or "403" in err_str or "unauthorized" in err_str:
logger.error("Mattermost WS permanent error: %s — stopping reconnect", exc)
return
logger.warning("Mattermost WS error: %s — reconnecting in %.0fs", exc, delay)
if self._closing:
@@ -700,15 +691,6 @@ class MattermostAdapter(BasePlatformAdapter):
except Exception as exc:
logger.warning("Mattermost: error downloading file %s: %s", fid, exc)
# Set message type based on downloaded media types.
if media_types and msg_type == MessageType.TEXT:
if any(m.startswith("image/") for m in media_types):
msg_type = MessageType.PHOTO
elif any(m.startswith("audio/") for m in media_types):
msg_type = MessageType.VOICE
elif media_types:
msg_type = MessageType.DOCUMENT
source = self.build_source(
chat_id=channel_id,
chat_type=chat_type,
+7 -67
View File
@@ -717,27 +717,19 @@ class SignalAdapter(BasePlatformAdapter):
return SendResult(success=True)
return SendResult(success=False, error="RPC send with attachment failed")
async def _send_attachment(
async def send_document(
self,
chat_id: str,
file_path: str,
media_label: str,
caption: Optional[str] = None,
filename: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send any file as a Signal attachment via RPC.
Shared implementation for send_document, send_image_file, send_voice,
and send_video avoids duplicating the validation/routing/RPC logic.
"""
"""Send a document/file attachment."""
await self._stop_typing_indicator(chat_id)
try:
file_size = Path(file_path).stat().st_size
except FileNotFoundError:
return SendResult(success=False, error=f"{media_label} file not found: {file_path}")
if file_size > SIGNAL_MAX_ATTACHMENT_SIZE:
return SendResult(success=False, error=f"{media_label} too large ({file_size} bytes)")
if not Path(file_path).exists():
return SendResult(success=False, error="File not found")
params: Dict[str, Any] = {
"account": self.account,
@@ -754,59 +746,7 @@ class SignalAdapter(BasePlatformAdapter):
if result is not None:
self._track_sent_timestamp(result)
return SendResult(success=True)
return SendResult(success=False, error=f"RPC send {media_label.lower()} failed")
async def send_document(
self,
chat_id: str,
file_path: str,
caption: Optional[str] = None,
filename: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a document/file attachment."""
return await self._send_attachment(chat_id, file_path, "File", caption)
async def send_image_file(
self,
chat_id: str,
image_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a local image file as a native Signal attachment.
Called by the gateway media delivery flow when MEDIA: tags containing
image paths are extracted from agent responses.
"""
return await self._send_attachment(chat_id, image_path, "Image", caption)
async def send_voice(
self,
chat_id: str,
audio_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send an audio file as a Signal attachment.
Signal does not distinguish voice messages from file attachments at
the API level, so this routes through the same RPC send path.
"""
return await self._send_attachment(chat_id, audio_path, "Audio", caption)
async def send_video(
self,
chat_id: str,
video_path: str,
caption: Optional[str] = None,
reply_to: Optional[str] = None,
**kwargs,
) -> SendResult:
"""Send a video file as a Signal attachment."""
return await self._send_attachment(chat_id, video_path, "Video", caption)
return SendResult(success=False, error="RPC send document failed")
# ------------------------------------------------------------------
# Typing Indicators
+5 -363
View File
@@ -84,17 +84,6 @@ class SlackAdapter(BasePlatformAdapter):
self._seen_messages: Dict[str, float] = {}
self._SEEN_TTL = 300 # 5 minutes
self._SEEN_MAX = 2000 # prune threshold
# Track pending approval message_ts → resolved flag to prevent
# double-clicks on approval buttons.
self._approval_resolved: Dict[str, bool] = {}
# Track timestamps of messages sent by the bot so we can respond
# to thread replies even without an explicit @mention.
self._bot_message_ts: set = set()
self._BOT_TS_MAX = 5000 # cap to avoid unbounded growth
# Track threads where the bot has been @mentioned — once mentioned,
# respond to ALL subsequent messages in that thread automatically.
self._mentioned_threads: set = set()
self._MENTIONED_THREADS_MAX = 5000
async def connect(self) -> bool:
"""Connect to Slack via Socket Mode."""
@@ -187,15 +176,6 @@ class SlackAdapter(BasePlatformAdapter):
await ack()
await self._handle_slash_command(command)
# Register Block Kit action handlers for approval buttons
for _action_id in (
"hermes_approve_once",
"hermes_approve_session",
"hermes_approve_always",
"hermes_deny",
):
self._app.action(_action_id)(self._handle_approval_action)
# Start Socket Mode handler in background
self._handler = AsyncSocketModeHandler(self._app, app_token)
self._socket_mode_task = asyncio.create_task(self._handler.start_async())
@@ -276,22 +256,9 @@ class SlackAdapter(BasePlatformAdapter):
last_result = await self._get_client(chat_id).chat_postMessage(**kwargs)
# Track the sent message ts so we can auto-respond to thread
# replies without requiring @mention.
sent_ts = last_result.get("ts") if last_result else None
if sent_ts:
self._bot_message_ts.add(sent_ts)
# Also register the thread root so replies-to-my-replies work
if thread_ts:
self._bot_message_ts.add(thread_ts)
if len(self._bot_message_ts) > self._BOT_TS_MAX:
excess = len(self._bot_message_ts) - self._BOT_TS_MAX // 2
for old_ts in list(self._bot_message_ts)[:excess]:
self._bot_message_ts.discard(old_ts)
return SendResult(
success=True,
message_id=sent_ts,
message_id=last_result.get("ts") if last_result else None,
raw_response=last_result,
)
@@ -309,13 +276,10 @@ class SlackAdapter(BasePlatformAdapter):
if not self._app:
return SendResult(success=False, error="Not connected")
try:
# Convert standard markdown → Slack mrkdwn
formatted = self.format_message(content)
await self._get_client(chat_id).chat_update(
channel=chat_id,
ts=message_id,
text=formatted,
text=content,
)
return SendResult(success=True, message_id=message_id)
except Exception as e: # pragma: no cover - defensive logging
@@ -799,61 +763,13 @@ class SlackAdapter(BasePlatformAdapter):
else:
thread_ts = event.get("thread_ts") or ts # ts fallback for channels
# In channels, respond if:
# 1. The bot is @mentioned in this message, OR
# 2. The message is a reply in a thread the bot started/participated in, OR
# 3. The message is in a thread where the bot was previously @mentioned, OR
# 4. There's an existing session for this thread (survives restarts)
# In channels, only respond if bot is mentioned
bot_uid = self._team_bot_user_ids.get(team_id, self._bot_user_id)
is_mentioned = bot_uid and f"<@{bot_uid}>" in text
event_thread_ts = event.get("thread_ts")
is_thread_reply = bool(event_thread_ts and event_thread_ts != ts)
if not is_dm and bot_uid and not is_mentioned:
reply_to_bot_thread = (
is_thread_reply and event_thread_ts in self._bot_message_ts
)
in_mentioned_thread = (
event_thread_ts is not None
and event_thread_ts in self._mentioned_threads
)
has_session = (
is_thread_reply
and self._has_active_session_for_thread(
channel_id=channel_id,
thread_ts=event_thread_ts,
user_id=user_id,
)
)
if not reply_to_bot_thread and not in_mentioned_thread and not has_session:
if not is_dm and bot_uid:
if f"<@{bot_uid}>" not in text:
return
if is_mentioned:
# Strip the bot mention from the text
text = text.replace(f"<@{bot_uid}>", "").strip()
# Register this thread so all future messages auto-trigger the bot
if event_thread_ts:
self._mentioned_threads.add(event_thread_ts)
if len(self._mentioned_threads) > self._MENTIONED_THREADS_MAX:
to_remove = list(self._mentioned_threads)[:self._MENTIONED_THREADS_MAX // 2]
for t in to_remove:
self._mentioned_threads.discard(t)
# When entering a thread for the first time (no existing session),
# fetch thread context so the agent understands the conversation.
if is_thread_reply and not self._has_active_session_for_thread(
channel_id=channel_id,
thread_ts=event_thread_ts,
user_id=user_id,
):
thread_context = await self._fetch_thread_context(
channel_id=channel_id,
thread_ts=event_thread_ts,
current_ts=ts,
team_id=team_id,
)
if thread_context:
text = thread_context + text
# Determine message type
msg_type = MessageType.TEXT
@@ -976,233 +892,6 @@ class SlackAdapter(BasePlatformAdapter):
await self._remove_reaction(channel_id, ts, "eyes")
await self._add_reaction(channel_id, ts, "white_check_mark")
# ----- Approval button support (Block Kit) -----
async def send_exec_approval(
self, chat_id: str, command: str, session_key: str,
description: str = "dangerous command",
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send a Block Kit approval prompt with interactive buttons.
The buttons call ``resolve_gateway_approval()`` to unblock the waiting
agent thread same mechanism as the text ``/approve`` flow.
"""
if not self._app:
return SendResult(success=False, error="Not connected")
try:
cmd_preview = command[:2900] + "..." if len(command) > 2900 else command
thread_ts = self._resolve_thread_ts(None, metadata)
blocks = [
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": (
f":warning: *Command Approval Required*\n"
f"```{cmd_preview}```\n"
f"Reason: {description}"
),
},
},
{
"type": "actions",
"elements": [
{
"type": "button",
"text": {"type": "plain_text", "text": "Allow Once"},
"style": "primary",
"action_id": "hermes_approve_once",
"value": session_key,
},
{
"type": "button",
"text": {"type": "plain_text", "text": "Allow Session"},
"action_id": "hermes_approve_session",
"value": session_key,
},
{
"type": "button",
"text": {"type": "plain_text", "text": "Always Allow"},
"action_id": "hermes_approve_always",
"value": session_key,
},
{
"type": "button",
"text": {"type": "plain_text", "text": "Deny"},
"style": "danger",
"action_id": "hermes_deny",
"value": session_key,
},
],
},
]
kwargs: Dict[str, Any] = {
"channel": chat_id,
"text": f"⚠️ Command approval required: {cmd_preview[:100]}",
"blocks": blocks,
}
if thread_ts:
kwargs["thread_ts"] = thread_ts
result = await self._get_client(chat_id).chat_postMessage(**kwargs)
msg_ts = result.get("ts", "")
if msg_ts:
self._approval_resolved[msg_ts] = False
return SendResult(success=True, message_id=msg_ts, raw_response=result)
except Exception as e:
logger.error("[Slack] send_exec_approval failed: %s", e, exc_info=True)
return SendResult(success=False, error=str(e))
async def _handle_approval_action(self, ack, body, action) -> None:
"""Handle an approval button click from Block Kit."""
await ack()
action_id = action.get("action_id", "")
session_key = action.get("value", "")
message = body.get("message", {})
msg_ts = message.get("ts", "")
channel_id = body.get("channel", {}).get("id", "")
user_name = body.get("user", {}).get("name", "unknown")
# Map action_id to approval choice
choice_map = {
"hermes_approve_once": "once",
"hermes_approve_session": "session",
"hermes_approve_always": "always",
"hermes_deny": "deny",
}
choice = choice_map.get(action_id, "deny")
# Prevent double-clicks
if self._approval_resolved.get(msg_ts, False):
return
self._approval_resolved[msg_ts] = True
# Update the message to show the decision and remove buttons
label_map = {
"once": f"✅ Approved once by {user_name}",
"session": f"✅ Approved for session by {user_name}",
"always": f"✅ Approved permanently by {user_name}",
"deny": f"❌ Denied by {user_name}",
}
decision_text = label_map.get(choice, f"Resolved by {user_name}")
# Get original text from the section block
original_text = ""
for block in message.get("blocks", []):
if block.get("type") == "section":
original_text = block.get("text", {}).get("text", "")
break
updated_blocks = [
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": original_text or "Command approval request",
},
},
{
"type": "context",
"elements": [
{"type": "mrkdwn", "text": decision_text},
],
},
]
try:
await self._get_client(channel_id).chat_update(
channel=channel_id,
ts=msg_ts,
text=decision_text,
blocks=updated_blocks,
)
except Exception as e:
logger.warning("[Slack] Failed to update approval message: %s", e)
# Resolve the approval — this unblocks the agent thread
try:
from tools.approval import resolve_gateway_approval
count = resolve_gateway_approval(session_key, choice)
logger.info(
"Slack button resolved %d approval(s) for session %s (choice=%s, user=%s)",
count, session_key, choice, user_name,
)
except Exception as exc:
logger.error("Failed to resolve gateway approval from Slack button: %s", exc)
# Clean up stale approval state
self._approval_resolved.pop(msg_ts, None)
# ----- Thread context fetching -----
async def _fetch_thread_context(
self, channel_id: str, thread_ts: str, current_ts: str,
team_id: str = "", limit: int = 30,
) -> str:
"""Fetch recent thread messages to provide context when the bot is
mentioned mid-thread for the first time.
Returns a formatted string with thread history, or empty string on
failure or if the thread is empty (just the parent message).
"""
try:
client = self._get_client(channel_id)
result = await client.conversations_replies(
channel=channel_id,
ts=thread_ts,
limit=limit + 1, # +1 because it includes the current message
inclusive=True,
)
messages = result.get("messages", [])
if not messages:
return ""
context_parts = []
for msg in messages:
msg_ts = msg.get("ts", "")
# Skip the current message (the one that triggered this fetch)
if msg_ts == current_ts:
continue
# Skip bot messages from ourselves
if msg.get("bot_id") or msg.get("subtype") == "bot_message":
continue
msg_user = msg.get("user", "unknown")
msg_text = msg.get("text", "").strip()
if not msg_text:
continue
# Strip bot mentions from context messages
bot_uid = self._team_bot_user_ids.get(team_id, self._bot_user_id)
if bot_uid:
msg_text = msg_text.replace(f"<@{bot_uid}>", "").strip()
# Mark the thread parent
is_parent = msg_ts == thread_ts
prefix = "[thread parent] " if is_parent else ""
# Resolve user name (cached)
name = await self._resolve_user_name(msg_user, chat_id=channel_id)
context_parts.append(f"{prefix}{name}: {msg_text}")
if not context_parts:
return ""
return (
"[Thread context — previous messages in this thread:]\n"
+ "\n".join(context_parts)
+ "\n[End of thread context]\n\n"
)
except Exception as e:
logger.warning("[Slack] Failed to fetch thread context: %s", e)
return ""
async def _handle_slash_command(self, command: dict) -> None:
"""Handle /hermes slash command."""
text = command.get("text", "").strip()
@@ -1244,53 +933,6 @@ class SlackAdapter(BasePlatformAdapter):
await self.handle_message(event)
def _has_active_session_for_thread(
self,
channel_id: str,
thread_ts: str,
user_id: str,
) -> bool:
"""Check if there's an active session for a thread.
Used to determine if thread replies without @mentions should be
processed (they should if there's an active session).
Uses ``build_session_key()`` as the single source of truth for key
construction avoids the bug where manual key building didn't
respect ``thread_sessions_per_user`` and ``group_sessions_per_user``
settings correctly.
"""
session_store = getattr(self, "_session_store", None)
if not session_store:
return False
try:
from gateway.session import SessionSource, build_session_key
source = SessionSource(
platform=Platform.SLACK,
chat_id=channel_id,
chat_type="group",
user_id=user_id,
thread_id=thread_ts,
)
# Read session isolation settings from the store's config
store_cfg = getattr(session_store, "config", None)
gspu = getattr(store_cfg, "group_sessions_per_user", True) if store_cfg else True
tspu = getattr(store_cfg, "thread_sessions_per_user", False) if store_cfg else False
session_key = build_session_key(
source,
group_sessions_per_user=gspu,
thread_sessions_per_user=tspu,
)
session_store._ensure_loaded()
return session_key in session_store._entries
except Exception:
return False
async def _download_slack_file(self, url: str, ext: str, audio: bool = False, team_id: str = "") -> str:
"""Download a Slack file using the bot token for auth, with retry."""
import asyncio
+4 -536
View File
@@ -17,11 +17,10 @@ from typing import Dict, List, Optional, Any
logger = logging.getLogger(__name__)
try:
from telegram import Update, Bot, Message, InlineKeyboardButton, InlineKeyboardMarkup
from telegram import Update, Bot, Message
from telegram.ext import (
Application,
CommandHandler,
CallbackQueryHandler,
MessageHandler as TelegramMessageHandler,
ContextTypes,
filters,
@@ -34,11 +33,8 @@ except ImportError:
Update = Any
Bot = Any
Message = Any
InlineKeyboardButton = Any
InlineKeyboardMarkup = Any
Application = Any
CommandHandler = Any
CallbackQueryHandler = Any
TelegramMessageHandler = Any
HTTPXRequest = Any
filters = None
@@ -151,10 +147,6 @@ class TelegramAdapter(BasePlatformAdapter):
self._dm_topics: Dict[str, int] = {}
# DM Topics config from extra.dm_topics
self._dm_topics_config: List[Dict[str, Any]] = self.config.extra.get("dm_topics", [])
# Interactive model picker state per chat
self._model_picker_state: Dict[str, dict] = {}
# Approval button state: message_id → session_key
self._approval_state: Dict[int, str] = {}
def _fallback_ips(self) -> list[str]:
"""Return validated fallback IPs from config (populated by _apply_env_overrides)."""
@@ -522,7 +514,7 @@ class TelegramAdapter(BasePlatformAdapter):
", ".join(fallback_ips),
)
if fallback_ips:
logger.info(
logger.warning(
"[%s] Telegram fallback IPs active: %s",
self.name,
", ".join(fallback_ips),
@@ -551,8 +543,6 @@ class TelegramAdapter(BasePlatformAdapter):
filters.PHOTO | filters.VIDEO | filters.AUDIO | filters.VOICE | filters.Document.ALL | filters.Sticker.ALL,
self._handle_media_message
))
# Handle inline keyboard button callbacks (update prompts)
self._app.add_handler(CallbackQueryHandler(self._handle_callback_query))
# Start polling — retry initialize() for transient TLS resets
try:
@@ -605,12 +595,6 @@ class TelegramAdapter(BasePlatformAdapter):
)
else:
# ── Polling mode (default) ───────────────────────────
# Clear any stale webhook first so polling doesn't inherit a
# previous webhook registration and silently stop receiving updates.
delete_webhook = getattr(self._bot, "delete_webhook", None)
if callable(delete_webhook):
await delete_webhook(drop_pending_updates=False)
loop = asyncio.get_running_loop()
def _polling_error_callback(error: Exception) -> None:
@@ -788,11 +772,6 @@ class TelegramAdapter(BasePlatformAdapter):
except ImportError:
_BadReq = None # type: ignore[assignment,misc]
try:
from telegram.error import TimedOut as _TimedOut
except (ImportError, AttributeError):
_TimedOut = None # type: ignore[assignment,misc]
for i, chunk in enumerate(chunks):
should_thread = self._should_thread_reply(reply_to, i)
reply_to_id = int(reply_to) if should_thread else None
@@ -854,11 +833,6 @@ class TelegramAdapter(BasePlatformAdapter):
continue
# Other BadRequest errors are permanent — don't retry
raise
# TimedOut is also a subclass of NetworkError but
# indicates the request may have reached the server —
# retrying risks duplicate message delivery.
if _TimedOut and isinstance(send_err, _TimedOut):
raise
if _send_attempt < 2:
wait = 2 ** _send_attempt
logger.warning("[%s] Network error on send (attempt %d/3), retrying in %ds: %s",
@@ -866,21 +840,6 @@ class TelegramAdapter(BasePlatformAdapter):
await asyncio.sleep(wait)
else:
raise
except Exception as send_err:
retry_after = getattr(send_err, "retry_after", None)
if retry_after is not None or "retry after" in str(send_err).lower():
if _send_attempt < 2:
wait = float(retry_after) if retry_after is not None else 1.0
logger.warning(
"[%s] Telegram flood control on send (attempt %d/3), retrying in %.1fs: %s",
self.name,
_send_attempt + 1,
wait,
send_err,
)
await asyncio.sleep(wait)
continue
raise
message_ids.append(str(msg.message_id))
return SendResult(
@@ -891,12 +850,7 @@ class TelegramAdapter(BasePlatformAdapter):
except Exception as e:
logger.error("[%s] Failed to send Telegram message: %s", self.name, e, exc_info=True)
# TimedOut means the request may have reached Telegram —
# mark as non-retryable so _send_with_retry() doesn't re-send.
_to = locals().get("_TimedOut")
err_str = str(e).lower()
is_timeout = (_to and isinstance(e, _to)) or "timed out" in err_str
return SendResult(success=False, error=str(e), retryable=not is_timeout)
return SendResult(success=False, error=str(e))
async def edit_message(
self,
@@ -981,490 +935,6 @@ class TelegramAdapter(BasePlatformAdapter):
)
return SendResult(success=False, error=str(e))
async def send_update_prompt(
self, chat_id: str, prompt: str, default: str = "",
session_key: str = "",
) -> SendResult:
"""Send an inline-keyboard update prompt (Yes / No buttons).
Used by the gateway ``/update`` watcher when ``hermes update --gateway``
needs user input (stash restore, config migration).
"""
if not self._bot:
return SendResult(success=False, error="Not connected")
try:
default_hint = f" (default: {default})" if default else ""
text = f"⚕ *Update needs your input:*\n\n{prompt}{default_hint}"
keyboard = InlineKeyboardMarkup([
[
InlineKeyboardButton("✓ Yes", callback_data="update_prompt:y"),
InlineKeyboardButton("✗ No", callback_data="update_prompt:n"),
]
])
msg = await self._bot.send_message(
chat_id=int(chat_id),
text=text,
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
)
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
logger.warning("[%s] send_update_prompt failed: %s", self.name, e)
return SendResult(success=False, error=str(e))
async def send_exec_approval(
self, chat_id: str, command: str, session_key: str,
description: str = "dangerous command",
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send an inline-keyboard approval prompt with interactive buttons.
The buttons call ``resolve_gateway_approval()`` to unblock the waiting
agent thread same mechanism as the text ``/approve`` flow.
"""
if not self._bot:
return SendResult(success=False, error="Not connected")
try:
cmd_preview = command[:3800] + "..." if len(command) > 3800 else command
text = (
f"⚠️ *Command Approval Required*\n\n"
f"`{cmd_preview}`\n\n"
f"Reason: {description}"
)
# Resolve thread context for thread replies
thread_id = None
if metadata:
thread_id = metadata.get("thread_id") or metadata.get("message_thread_id")
# We'll use the message_id as part of callback_data to look up session_key
# Send a placeholder first, then update — or use a counter.
# Simpler: use a monotonic counter to generate short IDs.
import itertools
if not hasattr(self, "_approval_counter"):
self._approval_counter = itertools.count(1)
approval_id = next(self._approval_counter)
keyboard = InlineKeyboardMarkup([
[
InlineKeyboardButton("✅ Allow Once", callback_data=f"ea:once:{approval_id}"),
InlineKeyboardButton("✅ Session", callback_data=f"ea:session:{approval_id}"),
],
[
InlineKeyboardButton("✅ Always", callback_data=f"ea:always:{approval_id}"),
InlineKeyboardButton("❌ Deny", callback_data=f"ea:deny:{approval_id}"),
],
])
kwargs: Dict[str, Any] = {
"chat_id": int(chat_id),
"text": text,
"parse_mode": ParseMode.MARKDOWN,
"reply_markup": keyboard,
}
if thread_id:
kwargs["message_thread_id"] = int(thread_id)
msg = await self._bot.send_message(**kwargs)
# Store session_key keyed by approval_id for the callback handler
self._approval_state[approval_id] = session_key
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
logger.warning("[%s] send_exec_approval failed: %s", self.name, e)
return SendResult(success=False, error=str(e))
async def send_model_picker(
self,
chat_id: str,
providers: list,
current_model: str,
current_provider: str,
session_key: str,
on_model_selected,
metadata: Optional[Dict[str, Any]] = None,
) -> SendResult:
"""Send an interactive inline-keyboard model picker.
Two-step drill-down: provider selection model selection.
Edits the same message in-place as the user navigates.
"""
if not self._bot:
return SendResult(success=False, error="Not connected")
try:
from hermes_cli.providers import get_label
except ImportError:
def get_label(slug):
return slug
try:
# Build provider buttons — 2 per row
buttons: list = []
for p in providers:
count = p.get("total_models", len(p.get("models", [])))
label = f"{p['name']} ({count})"
if p.get("is_current"):
label = f"{label}"
# Compact callback data: mp:<slug> (max 64 bytes)
buttons.append(
InlineKeyboardButton(label, callback_data=f"mp:{p['slug']}")
)
rows = [buttons[i : i + 2] for i in range(0, len(buttons), 2)]
rows.append([InlineKeyboardButton("✗ Cancel", callback_data="mx")])
keyboard = InlineKeyboardMarkup(rows)
provider_label = get_label(current_provider)
text = (
f"⚙ *Model Configuration*\n\n"
f"Current model: `{current_model or 'unknown'}`\n"
f"Provider: {provider_label}\n\n"
f"Select a provider:"
)
thread_id = metadata.get("thread_id") if metadata else None
msg = await self._bot.send_message(
chat_id=int(chat_id),
text=text,
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
message_thread_id=int(thread_id) if thread_id else None,
)
# Store picker state keyed by chat_id
self._model_picker_state[str(chat_id)] = {
"msg_id": msg.message_id,
"providers": providers,
"session_key": session_key,
"on_model_selected": on_model_selected,
"current_model": current_model,
"current_provider": current_provider,
}
return SendResult(success=True, message_id=str(msg.message_id))
except Exception as e:
logger.warning("[%s] send_model_picker failed: %s", self.name, e)
return SendResult(success=False, error=str(e))
_MODEL_PAGE_SIZE = 8
def _build_model_keyboard(self, models: list, page: int) -> tuple:
"""Build paginated model buttons. Returns (keyboard, page_info_text)."""
page_size = self._MODEL_PAGE_SIZE
total = len(models)
total_pages = max(1, (total + page_size - 1) // page_size)
page = max(0, min(page, total_pages - 1))
start = page * page_size
end = min(start + page_size, total)
page_models = models[start:end]
buttons: list = []
for i, model_id in enumerate(page_models):
abs_idx = start + i
short = model_id.split("/")[-1] if "/" in model_id else model_id
if len(short) > 38:
short = short[:35] + "..."
buttons.append(
InlineKeyboardButton(short, callback_data=f"mm:{abs_idx}")
)
rows = [buttons[i : i + 2] for i in range(0, len(buttons), 2)]
# Pagination row (if needed)
if total_pages > 1:
nav: list = []
if page > 0:
nav.append(InlineKeyboardButton("◀ Prev", callback_data=f"mg:{page - 1}"))
nav.append(InlineKeyboardButton(f"{page + 1}/{total_pages}", callback_data="mx:noop"))
if page < total_pages - 1:
nav.append(InlineKeyboardButton("Next ▶", callback_data=f"mg:{page + 1}"))
rows.append(nav)
rows.append([
InlineKeyboardButton("◀ Back", callback_data="mb"),
InlineKeyboardButton("✗ Cancel", callback_data="mx"),
])
page_info = f" ({start + 1}{end} of {total})" if total_pages > 1 else ""
return InlineKeyboardMarkup(rows), page_info
async def _handle_model_picker_callback(
self, query, data: str, chat_id: str
) -> None:
"""Handle model picker inline keyboard callbacks (mp:/mm:/mb:/mx:/mg:)."""
state = self._model_picker_state.get(chat_id)
if not state:
await query.answer(text="Picker expired — use /model again.")
return
try:
from hermes_cli.providers import get_label
except ImportError:
def get_label(slug):
return slug
if data.startswith("mp:"):
# --- Provider selected: show model buttons (page 0) ---
provider_slug = data[3:]
provider = next(
(p for p in state["providers"] if p["slug"] == provider_slug),
None,
)
if not provider:
await query.answer(text="Provider not found.")
return
models = provider.get("models", [])
state["selected_provider"] = provider_slug
state["selected_provider_name"] = provider.get("name", provider_slug)
state["model_list"] = models
state["model_page"] = 0
keyboard, page_info = self._build_model_keyboard(models, 0)
pname = provider.get("name", provider_slug)
total = provider.get("total_models", len(models))
shown = len(models)
extra = f"\n_{total - shown} more available — type `/model <name>` directly_" if total > shown else ""
await query.edit_message_text(
text=(
f"⚙ *Model Configuration*\n\n"
f"Provider: *{pname}*{page_info}\n"
f"Select a model:{extra}"
),
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
)
await query.answer()
elif data.startswith("mg:"):
# --- Page navigation ---
try:
page = int(data[3:])
except ValueError:
await query.answer(text="Invalid page.")
return
models = state.get("model_list", [])
state["model_page"] = page
keyboard, page_info = self._build_model_keyboard(models, page)
pname = state.get("selected_provider_name", "")
provider_slug = state.get("selected_provider", "")
provider = next(
(p for p in state["providers"] if p["slug"] == provider_slug),
None,
)
total = provider.get("total_models", len(models)) if provider else len(models)
shown = len(models)
extra = f"\n_{total - shown} more available — type `/model <name>` directly_" if total > shown else ""
await query.edit_message_text(
text=(
f"⚙ *Model Configuration*\n\n"
f"Provider: *{pname}*{page_info}\n"
f"Select a model:{extra}"
),
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
)
await query.answer()
elif data.startswith("mm:"):
# --- Model selected: perform the switch ---
try:
idx = int(data[3:])
except ValueError:
await query.answer(text="Invalid selection.")
return
model_list = state.get("model_list", [])
if idx < 0 or idx >= len(model_list):
await query.answer(text="Invalid model index.")
return
model_id = model_list[idx]
provider_slug = state.get("selected_provider", "")
callback = state.get("on_model_selected")
if not callback:
await query.answer(text="Picker expired.")
return
try:
result_text = await callback(chat_id, model_id, provider_slug)
except Exception as exc:
logger.error("Model picker switch failed: %s", exc)
result_text = f"Error switching model: {exc}"
# Edit message to show confirmation, remove buttons
try:
await query.edit_message_text(
text=result_text,
parse_mode=ParseMode.MARKDOWN,
reply_markup=None,
)
except Exception:
# Markdown parse failure — retry as plain text
try:
await query.edit_message_text(
text=result_text,
parse_mode=None,
reply_markup=None,
)
except Exception:
pass
await query.answer(text="Model switched!")
# Clean up state
self._model_picker_state.pop(chat_id, None)
elif data == "mb":
# --- Back to provider list ---
buttons = []
for p in state["providers"]:
count = p.get("total_models", len(p.get("models", [])))
label = f"{p['name']} ({count})"
if p.get("is_current"):
label = f"{label}"
buttons.append(
InlineKeyboardButton(label, callback_data=f"mp:{p['slug']}")
)
rows = [buttons[i : i + 2] for i in range(0, len(buttons), 2)]
rows.append([InlineKeyboardButton("✗ Cancel", callback_data="mx")])
keyboard = InlineKeyboardMarkup(rows)
try:
provider_label = get_label(state["current_provider"])
except Exception:
provider_label = state["current_provider"]
await query.edit_message_text(
text=(
f"⚙ *Model Configuration*\n\n"
f"Current model: `{state['current_model'] or 'unknown'}`\n"
f"Provider: {provider_label}\n\n"
f"Select a provider:"
),
parse_mode=ParseMode.MARKDOWN,
reply_markup=keyboard,
)
await query.answer()
elif data == "mx":
# --- Cancel ---
self._model_picker_state.pop(chat_id, None)
await query.edit_message_text(
text="Model selection cancelled.",
reply_markup=None,
)
await query.answer()
else:
# Catch-all (e.g. page counter button "mx:noop")
await query.answer()
async def _handle_callback_query(
self, update: "Update", context: "ContextTypes.DEFAULT_TYPE"
) -> None:
"""Handle inline keyboard button clicks."""
query = update.callback_query
if not query or not query.data:
return
data = query.data
# --- Model picker callbacks ---
if data.startswith(("mp:", "mm:", "mb", "mx", "mg:")):
chat_id = str(query.message.chat_id) if query.message else None
if chat_id:
await self._handle_model_picker_callback(query, data, chat_id)
return
# --- Exec approval callbacks (ea:choice:id) ---
if data.startswith("ea:"):
parts = data.split(":", 2)
if len(parts) == 3:
choice = parts[1] # once, session, always, deny
try:
approval_id = int(parts[2])
except (ValueError, IndexError):
await query.answer(text="Invalid approval data.")
return
session_key = self._approval_state.pop(approval_id, None)
if not session_key:
await query.answer(text="This approval has already been resolved.")
return
# Map choice to human-readable label
label_map = {
"once": "✅ Approved once",
"session": "✅ Approved for session",
"always": "✅ Approved permanently",
"deny": "❌ Denied",
}
user_display = getattr(query.from_user, "first_name", "User")
label = label_map.get(choice, "Resolved")
await query.answer(text=label)
# Edit message to show decision, remove buttons
try:
await query.edit_message_text(
text=f"{label} by {user_display}",
parse_mode=ParseMode.MARKDOWN,
reply_markup=None,
)
except Exception:
pass # non-fatal if edit fails
# Resolve the approval — unblocks the agent thread
try:
from tools.approval import resolve_gateway_approval
count = resolve_gateway_approval(session_key, choice)
logger.info(
"Telegram button resolved %d approval(s) for session %s (choice=%s, user=%s)",
count, session_key, choice, user_display,
)
except Exception as exc:
logger.error("Failed to resolve gateway approval from Telegram button: %s", exc)
return
# --- Update prompt callbacks ---
if not data.startswith("update_prompt:"):
return
answer = data.split(":", 1)[1] # "y" or "n"
await query.answer(text=f"Sent '{answer}' to the update process.")
# Edit the message to show the choice and remove buttons
label = "Yes" if answer == "y" else "No"
try:
await query.edit_message_text(
text=f"⚕ Update prompt answered: *{label}*",
parse_mode=ParseMode.MARKDOWN,
reply_markup=None,
)
except Exception:
pass # non-fatal if edit fails
# Write the response file
try:
from hermes_constants import get_hermes_home
home = get_hermes_home()
response_path = home / ".update_response"
tmp = response_path.with_suffix(".tmp")
tmp.write_text(answer)
tmp.replace(response_path)
logger.info("Telegram update prompt answered '%s' by user %s",
answer, getattr(query.from_user, "id", "unknown"))
except Exception as exc:
logger.error("Failed to write update response from callback: %s", exc)
async def send_voice(
self,
chat_id: str,
@@ -1485,7 +955,7 @@ class TelegramAdapter(BasePlatformAdapter):
with open(audio_path, "rb") as audio_file:
# .ogg files -> send as voice (round playable bubble)
if audio_path.endswith((".ogg", ".opus")):
if audio_path.endswith(".ogg") or audio_path.endswith(".opus"):
_voice_thread = metadata.get("thread_id") if metadata else None
msg = await self._bot.send_voice(
chat_id=int(chat_id),
@@ -2133,7 +1603,6 @@ class TelegramAdapter(BasePlatformAdapter):
return build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
def _enqueue_text_event(self, event: MessageEvent) -> None:
@@ -2192,7 +1661,6 @@ class TelegramAdapter(BasePlatformAdapter):
session_key = build_session_key(
event.source,
group_sessions_per_user=self.config.extra.get("group_sessions_per_user", True),
thread_sessions_per_user=self.config.extra.get("thread_sessions_per_user", False),
)
media_group_id = getattr(msg, "media_group_id", None)
if media_group_id:
+5 -16
View File
@@ -203,8 +203,10 @@ class WebhookAdapter(BasePlatformAdapter):
def _reload_dynamic_routes(self) -> None:
"""Reload agent-created subscriptions from disk if the file changed."""
from hermes_constants import get_hermes_home
hermes_home = get_hermes_home()
from pathlib import Path as _Path
hermes_home = _Path(
os.getenv("HERMES_HOME", str(_Path.home() / ".hermes"))
).expanduser()
subs_path = hermes_home / _DYNAMIC_ROUTES_FILENAME
if not subs_path.exists():
if self._dynamic_routes:
@@ -482,10 +484,6 @@ class WebhookAdapter(BasePlatformAdapter):
Supports dot-notation access into nested dicts:
``{pull_request.title}`` ``payload["pull_request"]["title"]``
Special token ``{__raw__}`` dumps the entire payload as indented
JSON (truncated to 4000 chars). Useful for monitoring alerts or
any webhook where the agent needs to see the full payload.
"""
if not template:
truncated = json.dumps(payload, indent=2)[:4000]
@@ -496,9 +494,6 @@ class WebhookAdapter(BasePlatformAdapter):
def _resolve(match: re.Match) -> str:
key = match.group(1)
# Special token: dump the entire payload as JSON
if key == "__raw__":
return json.dumps(payload, indent=2)[:4000]
value: Any = payload
for part in key.split("."):
if isinstance(value, dict):
@@ -618,10 +613,4 @@ class WebhookAdapter(BasePlatformAdapter):
error=f"No chat_id or home channel for {platform_name}",
)
# Pass thread_id from deliver_extra so Telegram forum topics work
metadata = None
thread_id = extra.get("message_thread_id") or extra.get("thread_id")
if thread_id:
metadata = {"thread_id": thread_id}
return await adapter.send(chat_id, content, metadata=metadata)
return await adapter.send(chat_id, content)
+2 -2
View File
@@ -653,7 +653,7 @@ class WeComAdapter(BasePlatformAdapter):
return ".png"
if data.startswith(b"\xff\xd8\xff"):
return ".jpg"
if data.startswith((b"GIF87a", b"GIF89a")):
if data.startswith(b"GIF87a") or data.startswith(b"GIF89a"):
return ".gif"
if data.startswith(b"RIFF") and data[8:12] == b"WEBP":
return ".webp"
@@ -689,7 +689,7 @@ class WeComAdapter(BasePlatformAdapter):
@staticmethod
def _derive_message_type(body: Dict[str, Any], text: str, media_types: List[str]) -> MessageType:
"""Choose the normalized inbound message type."""
if any(mtype.startswith(("application/", "text/")) for mtype in media_types):
if any(mtype.startswith("application/") or mtype.startswith("text/") for mtype in media_types):
return MessageType.DOCUMENT
if any(mtype.startswith("image/") for mtype in media_types):
return MessageType.TEXT if text else MessageType.PHOTO
+1
View File
@@ -27,6 +27,7 @@ _IS_WINDOWS = platform.system() == "Windows"
from pathlib import Path
from typing import Dict, Optional, Any
from hermes_cli.config import get_hermes_home
from hermes_constants import get_hermes_dir
logger = logging.getLogger(__name__)
+105 -1027
View File
File diff suppressed because it is too large Load Diff
+5 -36
View File
@@ -254,22 +254,8 @@ def build_session_context_prompt(
if context.source.chat_topic:
lines.append(f"**Channel Topic:** {context.source.chat_topic}")
# User identity.
# In shared thread sessions (non-DM with thread_id), multiple users
# contribute to the same conversation. Don't pin a single user name
# in the system prompt — it changes per-turn and would bust the prompt
# cache. Instead, note that this is a multi-user thread; individual
# sender names are prefixed on each user message by the gateway.
_is_shared_thread = (
context.source.chat_type != "dm"
and context.source.thread_id
)
if _is_shared_thread:
lines.append(
"**Session type:** Multi-user thread — messages are prefixed "
"with [sender name]. Multiple users may participate."
)
elif context.source.user_name:
# User identity (especially useful for WhatsApp where multiple people DM)
if context.source.user_name:
lines.append(f"**User:** {context.source.user_name}")
elif context.source.user_id:
uid = context.source.user_id
@@ -441,11 +427,7 @@ class SessionEntry:
)
def build_session_key(
source: SessionSource,
group_sessions_per_user: bool = True,
thread_sessions_per_user: bool = False,
) -> str:
def build_session_key(source: SessionSource, group_sessions_per_user: bool = True) -> str:
"""Build a deterministic session key from a message source.
This is the single source of truth for session key construction.
@@ -460,11 +442,7 @@ def build_session_key(
- chat_id identifies the parent group/channel.
- user_id/user_id_alt isolates participants within that parent chat when available when
``group_sessions_per_user`` is enabled.
- thread_id differentiates threads within that parent chat. When
``thread_sessions_per_user`` is False (default), threads are *shared* across all
participants user_id is NOT appended, so every user in the thread
shares a single session. This is the expected UX for threaded
conversations (Telegram forum topics, Discord threads, Slack threads).
- thread_id differentiates threads within that parent chat.
- Without participant identifiers, or when isolation is disabled, messages fall back to one
shared session per chat.
- Without identifiers, messages fall back to one session per platform/chat_type.
@@ -486,15 +464,7 @@ def build_session_key(
key_parts.append(source.chat_id)
if source.thread_id:
key_parts.append(source.thread_id)
# In threads, default to shared sessions (all participants see the same
# conversation). Per-user isolation only applies when explicitly enabled
# via thread_sessions_per_user, or when there is no thread (regular group).
isolate_user = group_sessions_per_user
if source.thread_id and not thread_sessions_per_user:
isolate_user = False
if isolate_user and participant_id:
if group_sessions_per_user and participant_id:
key_parts.append(str(participant_id))
return ":".join(key_parts)
@@ -582,7 +552,6 @@ class SessionStore:
return build_session_key(
source,
group_sessions_per_user=getattr(self.config, "group_sessions_per_user", True),
thread_sessions_per_user=getattr(self.config, "thread_sessions_per_user", False),
)
def _is_session_expired(self, entry: SessionEntry) -> bool:
+3 -60
View File
@@ -18,7 +18,6 @@ from __future__ import annotations
import asyncio
import logging
import queue
import re
import time
from dataclasses import dataclass
from typing import Any, Optional
@@ -28,10 +27,6 @@ logger = logging.getLogger("gateway.stream_consumer")
# Sentinel to signal the stream is complete
_DONE = object()
# Sentinel to signal a tool boundary — finalize current message and start a
# new one so that subsequent text appears below tool progress messages.
_NEW_SEGMENT = object()
@dataclass
class StreamConsumerConfig:
@@ -82,16 +77,9 @@ class GatewayStreamConsumer:
return self._already_sent
def on_delta(self, text: str) -> None:
"""Thread-safe callback — called from the agent's worker thread.
When *text* is ``None``, signals a tool boundary: the current message
is finalized and subsequent text will be sent as a new message so it
appears below any tool-progress messages the gateway sent in between.
"""
"""Thread-safe callback — called from the agent's worker thread."""
if text:
self._queue.put(text)
elif text is None:
self._queue.put(_NEW_SEGMENT)
def finish(self) -> None:
"""Signal that the stream is complete."""
@@ -107,16 +95,12 @@ class GatewayStreamConsumer:
while True:
# Drain all available items from the queue
got_done = False
got_segment_break = False
while True:
try:
item = self._queue.get_nowait()
if item is _DONE:
got_done = True
break
if item is _NEW_SEGMENT:
got_segment_break = True
break
self._accumulated += item
except queue.Empty:
break
@@ -126,9 +110,8 @@ class GatewayStreamConsumer:
elapsed = now - self._last_edit_time
should_edit = (
got_done
or got_segment_break
or (elapsed >= self.cfg.edit_interval
and self._accumulated)
and len(self._accumulated) > 0)
or len(self._accumulated) >= self.cfg.buffer_threshold
)
@@ -149,7 +132,7 @@ class GatewayStreamConsumer:
self._last_sent_text = ""
display_text = self._accumulated
if not got_done and not got_segment_break:
if not got_done:
display_text += self.cfg.cursor
await self._send_or_edit(display_text)
@@ -161,15 +144,6 @@ class GatewayStreamConsumer:
await self._send_or_edit(self._accumulated)
return
# Tool boundary: the should_edit block above already flushed
# accumulated text without a cursor. Reset state so the next
# text chunk creates a fresh message below any tool-progress
# messages the gateway sent in between.
if got_segment_break:
self._message_id = None
self._accumulated = ""
self._last_sent_text = ""
await asyncio.sleep(0.05) # Small yield to not busy-loop
except asyncio.CancelledError:
@@ -182,39 +156,8 @@ class GatewayStreamConsumer:
except Exception as e:
logger.error("Stream consumer error: %s", e)
# Pattern to strip MEDIA:<path> tags (including optional surrounding quotes).
# Matches the simple cleanup regex used by the non-streaming path in
# gateway/platforms/base.py for post-processing.
_MEDIA_RE = re.compile(r'''[`"']?MEDIA:\s*\S+[`"']?''')
@staticmethod
def _clean_for_display(text: str) -> str:
"""Strip MEDIA: directives and internal markers from text before display.
The streaming path delivers raw text chunks that may include
``MEDIA:<path>`` tags and ``[[audio_as_voice]]`` directives meant for
the platform adapter's post-processing. The actual media files are
delivered separately via ``_deliver_media_from_response()`` after the
stream finishes we just need to hide the raw directives from the
user.
"""
if "MEDIA:" not in text and "[[audio_as_voice]]" not in text:
return text
cleaned = text.replace("[[audio_as_voice]]", "")
cleaned = GatewayStreamConsumer._MEDIA_RE.sub("", cleaned)
# Collapse excessive blank lines left behind by removed tags
cleaned = re.sub(r'\n{3,}', '\n\n', cleaned)
# Strip trailing whitespace/newlines but preserve leading content
return cleaned.rstrip()
async def _send_or_edit(self, text: str) -> None:
"""Send or edit the streaming message."""
# Strip MEDIA: directives so they don't appear as visible text.
# Media files are delivered as native attachments after the stream
# finishes (via _deliver_media_from_response in gateway/run.py).
text = self._clean_for_display(text)
if not text.strip():
return
try:
if self._message_id is not None:
if self._edit_supported:
+51 -320
View File
@@ -69,7 +69,6 @@ DEVICE_AUTH_POLL_INTERVAL_CAP_SECONDS = 1 # poll at most every 1s
DEFAULT_CODEX_BASE_URL = "https://chatgpt.com/backend-api/codex"
DEFAULT_GITHUB_MODELS_BASE_URL = "https://api.githubcopilot.com"
DEFAULT_COPILOT_ACP_BASE_URL = "acp://copilot"
DEFAULT_GEMINI_BASE_URL = "https://generativelanguage.googleapis.com/v1beta/openai"
CODEX_OAUTH_CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann"
CODEX_OAUTH_TOKEN_URL = "https://auth.openai.com/oauth/token"
CODEX_ACCESS_TOKEN_REFRESH_SKEW_SECONDS = 120
@@ -126,14 +125,6 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
inference_base_url=DEFAULT_COPILOT_ACP_BASE_URL,
base_url_env_var="COPILOT_ACP_BASE_URL",
),
"gemini": ProviderConfig(
id="gemini",
name="Google AI Studio",
auth_type="api_key",
inference_base_url="https://generativelanguage.googleapis.com/v1beta/openai",
api_key_env_vars=("GOOGLE_API_KEY", "GEMINI_API_KEY"),
base_url_env_var="GEMINI_BASE_URL",
),
"zai": ProviderConfig(
id="zai",
name="Z.AI / GLM",
@@ -404,47 +395,6 @@ def detect_zai_endpoint(api_key: str, timeout: float = 8.0) -> Optional[Dict[str
return None
def _resolve_zai_base_url(api_key: str, default_url: str, env_override: str) -> str:
"""Return the correct Z.AI base URL by probing endpoints.
If the user has explicitly set GLM_BASE_URL, that always wins.
Otherwise, probe the candidate endpoints to find one that accepts the
key. The detected endpoint is cached in provider state (auth.json) keyed
on a hash of the API key so subsequent starts skip the probe.
"""
if env_override:
return env_override
# Check provider-state cache for a previously-detected endpoint.
auth_store = _load_auth_store()
state = _load_provider_state(auth_store, "zai") or {}
cached = state.get("detected_endpoint")
if isinstance(cached, dict) and cached.get("base_url"):
key_hash = cached.get("key_hash", "")
if key_hash == hashlib.sha256(api_key.encode()).hexdigest()[:16]:
logger.debug("Z.AI: using cached endpoint %s", cached["base_url"])
return cached["base_url"]
# Probe — may take up to ~8s per endpoint.
detected = detect_zai_endpoint(api_key)
if detected and detected.get("base_url"):
# Persist the detection result keyed on the API key hash.
key_hash = hashlib.sha256(api_key.encode()).hexdigest()[:16]
state["detected_endpoint"] = {
"base_url": detected["base_url"],
"endpoint_id": detected.get("id", ""),
"model": detected.get("model", ""),
"label": detected.get("label", ""),
"key_hash": key_hash,
}
_save_provider_state(auth_store, "zai", state)
logger.info("Z.AI: auto-detected endpoint %s (%s)", detected["label"], detected["base_url"])
return detected["base_url"]
logger.debug("Z.AI: probe failed, falling back to default %s", default_url)
return default_url
# =============================================================================
# Error Types
# =============================================================================
@@ -761,32 +711,6 @@ def deactivate_provider() -> None:
# Provider Resolution — picks which provider to use
# =============================================================================
def _get_config_hint_for_unknown_provider(provider_name: str) -> str:
"""Return a helpful hint string when provider resolution fails.
Checks for common config.yaml mistakes (malformed custom_providers, etc.)
and returns a human-readable diagnostic, or empty string if nothing found.
"""
try:
from hermes_cli.config import validate_config_structure
issues = validate_config_structure()
if not issues:
return ""
lines = ["Config issue detected — run 'hermes doctor' for full diagnostics:"]
for ci in issues:
prefix = "ERROR" if ci.severity == "error" else "WARNING"
lines.append(f" [{prefix}] {ci.message}")
# Show first line of hint
first_hint = ci.hint.splitlines()[0] if ci.hint else ""
if first_hint:
lines.append(f"{first_hint}")
return "\n".join(lines)
except Exception:
return ""
def resolve_provider(
requested: Optional[str] = None,
*,
@@ -808,7 +732,6 @@ def resolve_provider(
# Normalize provider aliases
_PROVIDER_ALIASES = {
"glm": "zai", "z-ai": "zai", "z.ai": "zai", "zhipu": "zai",
"google": "gemini", "google-gemini": "gemini", "google-ai-studio": "gemini",
"kimi": "kimi-coding", "moonshot": "kimi-coding",
"minimax-china": "minimax-cn", "minimax_cn": "minimax-cn",
"claude": "anthropic", "claude-code": "anthropic",
@@ -834,14 +757,10 @@ def resolve_provider(
if normalized in PROVIDER_REGISTRY:
return normalized
if normalized != "auto":
# Check for common config.yaml issues that cause this error
_config_hint = _get_config_hint_for_unknown_provider(normalized)
msg = f"Unknown provider '{normalized}'."
if _config_hint:
msg += f"\n\n{_config_hint}"
else:
msg += " Check 'hermes model' for available providers, or run 'hermes doctor' to diagnose config issues."
raise AuthError(msg, code="invalid_provider")
raise AuthError(
f"Unknown provider '{normalized}'.",
code="invalid_provider",
)
# Explicit one-off CLI creds always mean openrouter/custom
if explicit_api_key or explicit_base_url:
@@ -977,7 +896,7 @@ def _read_codex_tokens(*, _lock: bool = True) -> Dict[str, Any]:
state = _load_provider_state(auth_store, "openai-codex")
if not state:
raise AuthError(
"No Codex credentials stored. Run `hermes auth` to authenticate.",
"No Codex credentials stored. Run `hermes login` to authenticate.",
provider="openai-codex",
code="codex_auth_missing",
relogin_required=True,
@@ -985,7 +904,7 @@ def _read_codex_tokens(*, _lock: bool = True) -> Dict[str, Any]:
tokens = state.get("tokens")
if not isinstance(tokens, dict):
raise AuthError(
"Codex auth state is missing tokens. Run `hermes auth` to re-authenticate.",
"Codex auth state is missing tokens. Run `hermes login` to re-authenticate.",
provider="openai-codex",
code="codex_auth_invalid_shape",
relogin_required=True,
@@ -994,14 +913,14 @@ def _read_codex_tokens(*, _lock: bool = True) -> Dict[str, Any]:
refresh_token = tokens.get("refresh_token")
if not isinstance(access_token, str) or not access_token.strip():
raise AuthError(
"Codex auth is missing access_token. Run `hermes auth` to re-authenticate.",
"Codex auth is missing access_token. Run `hermes login` to re-authenticate.",
provider="openai-codex",
code="codex_auth_missing_access_token",
relogin_required=True,
)
if not isinstance(refresh_token, str) or not refresh_token.strip():
raise AuthError(
"Codex auth is missing refresh_token. Run `hermes auth` to re-authenticate.",
"Codex auth is missing refresh_token. Run `hermes login` to re-authenticate.",
provider="openai-codex",
code="codex_auth_missing_refresh_token",
relogin_required=True,
@@ -1036,7 +955,7 @@ def refresh_codex_oauth_pure(
del access_token # Access token is only used by callers to decide whether to refresh.
if not isinstance(refresh_token, str) or not refresh_token.strip():
raise AuthError(
"Codex auth is missing refresh_token. Run `hermes auth` to re-authenticate.",
"Codex auth is missing refresh_token. Run `hermes login` to re-authenticate.",
provider="openai-codex",
code="codex_auth_missing_refresh_token",
relogin_required=True,
@@ -1071,14 +990,6 @@ def refresh_codex_oauth_pure(
pass
if code in {"invalid_grant", "invalid_token", "invalid_request"}:
relogin_required = True
if code == "refresh_token_reused":
message = (
"Codex refresh token was already consumed by another client "
"(e.g. Codex CLI or VS Code extension). "
"Run `codex` in your terminal to generate fresh tokens, "
"then run `hermes auth` to re-authenticate."
)
relogin_required = True
raise AuthError(
message,
provider="openai-codex",
@@ -1140,8 +1051,7 @@ def _refresh_codex_auth_tokens(
def _import_codex_cli_tokens() -> Optional[Dict[str, str]]:
"""Try to read tokens from ~/.codex/auth.json (Codex CLI shared file).
Returns tokens dict if valid and not expired, None otherwise.
Does NOT write to the shared file.
Returns tokens dict if valid, None otherwise. Does NOT write to the shared file.
"""
codex_home = os.getenv("CODEX_HOME", "").strip()
if not codex_home:
@@ -1154,17 +1064,7 @@ def _import_codex_cli_tokens() -> Optional[Dict[str, str]]:
tokens = payload.get("tokens")
if not isinstance(tokens, dict):
return None
access_token = tokens.get("access_token")
refresh_token = tokens.get("refresh_token")
if not access_token or not refresh_token:
return None
# Reject expired tokens — importing stale tokens from ~/.codex/
# that can't be refreshed leaves the user stuck with "Login successful!"
# but no working credentials.
if _codex_access_token_is_expiring(access_token, 0):
logger.debug(
"Codex CLI tokens at %s are expired — skipping import.", auth_path,
)
if not tokens.get("access_token") or not tokens.get("refresh_token"):
return None
return dict(tokens)
except Exception:
@@ -1192,7 +1092,7 @@ def resolve_codex_runtime_credentials(
logger.info("Migrating Codex credentials from ~/.codex/ to Hermes auth store")
print("⚠️ Migrating Codex credentials to Hermes's own auth store.")
print(" This avoids conflicts with Codex CLI and VS Code.")
print(" Run `hermes auth` to create a fully independent session.\n")
print(" Run `hermes login` to create a fully independent session.\n")
_save_codex_tokens(cli_tokens)
data = _read_codex_tokens()
else:
@@ -1956,36 +1856,7 @@ def get_nous_auth_status() -> Dict[str, Any]:
def get_codex_auth_status() -> Dict[str, Any]:
"""Status snapshot for Codex auth.
Checks the credential pool first (where `hermes auth` stores credentials),
then falls back to the legacy provider state.
"""
# Check credential pool first — this is where `hermes auth` and
# `hermes model` store device_code tokens.
try:
from agent.credential_pool import load_pool
pool = load_pool("openai-codex")
if pool and pool.has_credentials():
entry = pool.select()
if entry is not None:
api_key = (
getattr(entry, "runtime_api_key", None)
or getattr(entry, "access_token", "")
)
if api_key and not _codex_access_token_is_expiring(api_key, 0):
return {
"logged_in": True,
"auth_store": str(_auth_file_path()),
"last_refresh": getattr(entry, "last_refresh", None),
"auth_mode": "chatgpt",
"source": f"pool:{getattr(entry, 'label', 'unknown')}",
"api_key": api_key,
}
except Exception:
pass
# Fall back to legacy provider state
"""Status snapshot for Codex auth."""
try:
creds = resolve_codex_runtime_credentials()
return {
@@ -1994,7 +1865,6 @@ def get_codex_auth_status() -> Dict[str, Any]:
"last_refresh": creds.get("last_refresh"),
"auth_mode": creds.get("auth_mode"),
"source": creds.get("source"),
"api_key": creds.get("api_key"),
}
except AuthError as exc:
return {
@@ -2104,8 +1974,6 @@ def resolve_api_key_provider_credentials(provider_id: str) -> Dict[str, Any]:
if provider_id == "kimi-coding":
base_url = _resolve_kimi_base_url(api_key, pconfig.inference_base_url, env_url)
elif provider_id == "zai":
base_url = _resolve_zai_base_url(api_key, pconfig.inference_base_url, env_url)
elif env_url:
base_url = env_url.rstrip("/")
else:
@@ -2180,7 +2048,7 @@ def detect_external_credentials() -> List[Dict[str, Any]]:
found.append({
"provider": "openai-codex",
"path": str(codex_path),
"label": f"Codex CLI credentials found ({codex_path}) — run `hermes auth` to create a separate session",
"label": f"Codex CLI credentials found ({codex_path}) — run `hermes login` to create a separate session",
})
return found
@@ -2275,25 +2143,8 @@ def _reset_config_provider() -> Path:
return config_path
def _prompt_model_selection(
model_ids: List[str],
current_model: str = "",
pricing: Optional[Dict[str, Dict[str, str]]] = None,
unavailable_models: Optional[List[str]] = None,
portal_url: str = "",
) -> Optional[str]:
"""Interactive model selection. Puts current_model first with a marker. Returns chosen model ID or None.
If *pricing* is provided (``{model_id: {prompt, completion}}``), a compact
price indicator is shown next to each model in aligned columns.
If *unavailable_models* is provided, those models are shown grayed out
and unselectable, with an upgrade link to *portal_url*.
"""
from hermes_cli.models import _format_price_per_mtok
_unavailable = unavailable_models or []
def _prompt_model_selection(model_ids: List[str], current_model: str = "") -> Optional[str]:
"""Interactive model selection. Puts current_model first with a marker. Returns chosen model ID or None."""
# Reorder: current model first, then the rest (deduplicated)
ordered = []
if current_model and current_model in model_ids:
@@ -2302,93 +2153,21 @@ def _prompt_model_selection(
if mid not in ordered:
ordered.append(mid)
# All models for column-width computation (selectable + unavailable)
all_models = list(ordered) + list(_unavailable)
# Column-aligned labels when pricing is available
has_pricing = bool(pricing and any(pricing.get(m) for m in all_models))
name_col = max((len(m) for m in all_models), default=0) + 2 if has_pricing else 0
# Pre-compute formatted prices and dynamic column widths
_price_cache: dict[str, tuple[str, str, str]] = {}
price_col = 3 # minimum width
cache_col = 0 # only set if any model has cache pricing
has_cache = False
if has_pricing:
for mid in all_models:
p = pricing.get(mid) # type: ignore[union-attr]
if p:
inp = _format_price_per_mtok(p.get("prompt", ""))
out = _format_price_per_mtok(p.get("completion", ""))
cache_read = p.get("input_cache_read", "")
cache = _format_price_per_mtok(cache_read) if cache_read else ""
if cache:
has_cache = True
else:
inp, out, cache = "", "", ""
_price_cache[mid] = (inp, out, cache)
price_col = max(price_col, len(inp), len(out))
cache_col = max(cache_col, len(cache))
if has_cache:
cache_col = max(cache_col, 5) # minimum: "Cache" header
# Build display labels with marker on current
def _label(mid):
if has_pricing:
inp, out, cache = _price_cache.get(mid, ("", "", ""))
price_part = f" {inp:>{price_col}} {out:>{price_col}}"
if has_cache:
price_part += f" {cache:>{cache_col}}"
base = f"{mid:<{name_col}}{price_part}"
else:
base = mid
if mid == current_model:
base += " ← currently in use"
return base
return f"{mid} ← currently in use"
return mid
# Default cursor on the current model (index 0 if it was reordered to top)
default_idx = 0
# Build a pricing header hint for the menu title
menu_title = "Select default model:"
if has_pricing:
# Align the header with the model column.
# Each choice is " {label}" (2 spaces) and simple_term_menu prepends
# a 3-char cursor region ("-> " or " "), so content starts at col 5.
pad = " " * 5
header = f"\n{pad}{'':>{name_col}} {'In':>{price_col}} {'Out':>{price_col}}"
if has_cache:
header += f" {'Cache':>{cache_col}}"
menu_title += header + " /Mtok"
# ANSI escape for dim text
_DIM = "\033[2m"
_RESET = "\033[0m"
# Try arrow-key menu first, fall back to number input
try:
from simple_term_menu import TerminalMenu
choices = [f" {_label(mid)}" for mid in ordered]
choices.append(" Enter custom model name")
choices.append(" Skip (keep current)")
# Print the unavailable block BEFORE the menu via regular print().
# simple_term_menu pads title lines to terminal width (causes wrapping),
# so we keep the title minimal and use stdout for the static block.
# clear_screen=False means our printed output stays visible above.
_upgrade_url = (portal_url or DEFAULT_NOUS_PORTAL_URL).rstrip("/")
if _unavailable:
print(menu_title)
print()
for mid in _unavailable:
print(f"{_DIM} {_label(mid)}{_RESET}")
print()
print(f"{_DIM} ── Upgrade at {_upgrade_url} for paid models ──{_RESET}")
print()
effective_title = "Available free models:"
else:
effective_title = menu_title
menu = TerminalMenu(
choices,
cursor_index=default_idx,
@@ -2397,7 +2176,7 @@ def _prompt_model_selection(
menu_highlight_style=("fg_green",),
cycle_cursor=True,
clear_screen=False,
title=effective_title,
title="Select default model:",
)
idx = menu.show()
if idx is None:
@@ -2413,20 +2192,12 @@ def _prompt_model_selection(
pass
# Fallback: numbered list
print(menu_title)
num_width = len(str(len(ordered) + 2))
print("Select default model:")
for i, mid in enumerate(ordered, 1):
print(f" {i:>{num_width}}. {_label(mid)}")
print(f" {i}. {_label(mid)}")
n = len(ordered)
print(f" {n + 1:>{num_width}}. Enter custom model name")
print(f" {n + 2:>{num_width}}. Skip (keep current)")
if _unavailable:
_upgrade_url = (portal_url or DEFAULT_NOUS_PORTAL_URL).rstrip("/")
print()
print(f" {_DIM}── Unavailable models (requires paid tier — upgrade at {_upgrade_url}) ──{_RESET}")
for mid in _unavailable:
print(f" {'':>{num_width}} {_DIM}{_label(mid)}{_RESET}")
print(f" {n + 1}. Enter custom model name")
print(f" {n + 2}. Skip (keep current)")
print()
while True:
@@ -2469,8 +2240,8 @@ def _save_model_choice(model_id: str) -> None:
def login_command(args) -> None:
"""Deprecated: use 'hermes model' or 'hermes setup' instead."""
print("The 'hermes login' command has been removed.")
print("Use 'hermes auth' to manage credentials,")
print("'hermes model' to select a provider, or 'hermes setup' for full setup.")
print("Use 'hermes model' to select a provider and model,")
print("or 'hermes setup' for full interactive setup.")
raise SystemExit(0)
@@ -2480,25 +2251,17 @@ def _login_openai_codex(args, pconfig: ProviderConfig) -> None:
# Check for existing Hermes-owned credentials
try:
existing = resolve_codex_runtime_credentials()
# Verify the resolved token is actually usable (not expired).
# resolve_codex_runtime_credentials attempts refresh, so if we get
# here the token should be valid — but double-check before telling
# the user "Login successful!".
_resolved_key = existing.get("api_key", "")
if isinstance(_resolved_key, str) and _resolved_key and not _codex_access_token_is_expiring(_resolved_key, 60):
print("Existing Codex credentials found in Hermes auth store.")
try:
reuse = input("Use existing credentials? [Y/n]: ").strip().lower()
except (EOFError, KeyboardInterrupt):
reuse = "y"
if reuse in ("", "y", "yes"):
config_path = _update_config_for_provider("openai-codex", existing.get("base_url", DEFAULT_CODEX_BASE_URL))
print()
print("Login successful!")
print(f" Config updated: {config_path} (model.provider=openai-codex)")
return
else:
print("Existing Codex credentials are expired. Starting fresh login...")
print("Existing Codex credentials found in Hermes auth store.")
try:
reuse = input("Use existing credentials? [Y/n]: ").strip().lower()
except (EOFError, KeyboardInterrupt):
reuse = "y"
if reuse in ("", "y", "yes"):
config_path = _update_config_for_provider("openai-codex", existing.get("base_url", DEFAULT_CODEX_BASE_URL))
print()
print("Login successful!")
print(f" Config updated: {config_path} (model.provider=openai-codex)")
return
except AuthError:
pass
@@ -2793,26 +2556,13 @@ def _nous_device_code_login(
"agent_key_reused": None,
"agent_key_obtained_at": None,
}
try:
return refresh_nous_oauth_from_state(
auth_state,
min_key_ttl_seconds=min_key_ttl_seconds,
timeout_seconds=timeout_seconds,
force_refresh=False,
force_mint=True,
)
except AuthError as exc:
if exc.code == "subscription_required":
portal_url = auth_state.get(
"portal_base_url", DEFAULT_NOUS_PORTAL_URL
).rstrip("/")
print()
print("Your Nous Portal account does not have an active subscription.")
print(f" Subscribe here: {portal_url}/billing")
print()
print("After subscribing, run `hermes model` again to finish setup.")
raise SystemExit(1)
raise
return refresh_nous_oauth_from_state(
auth_state,
min_key_ttl_seconds=min_key_ttl_seconds,
timeout_seconds=timeout_seconds,
force_refresh=False,
force_mint=True,
)
def _login_nous(args, pconfig: ProviderConfig) -> None:
@@ -2827,8 +2577,8 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
try:
auth_state = _nous_device_code_login(
portal_base_url=getattr(args, "portal_url", None),
inference_base_url=getattr(args, "inference_url", None),
portal_base_url=getattr(args, "portal_url", None) or pconfig.portal_base_url,
inference_base_url=getattr(args, "inference_url", None) or pconfig.inference_base_url,
client_id=getattr(args, "client_id", None) or pconfig.client_id,
scope=getattr(args, "scope", None) or pconfig.scope,
open_browser=not getattr(args, "no_browser", False),
@@ -2837,8 +2587,8 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
ca_bundle=ca_bundle,
min_key_ttl_seconds=5 * 60,
)
inference_base_url = auth_state["inference_base_url"]
verify: bool | str = False if insecure else (ca_bundle if ca_bundle else True)
with _auth_store_lock():
auth_store = _load_auth_store()
@@ -2860,37 +2610,18 @@ def _login_nous(args, pconfig: ProviderConfig) -> None:
code="invalid_token",
)
from hermes_cli.models import (
_PROVIDER_MODELS, get_pricing_for_provider, filter_nous_free_models,
check_nous_free_tier, partition_nous_models_by_tier,
)
# Use curated model list (same as OpenRouter defaults) instead
# of the full /models dump which returns hundreds of models.
from hermes_cli.models import _PROVIDER_MODELS
model_ids = _PROVIDER_MODELS.get("nous", [])
print()
unavailable_models: list = []
if model_ids:
pricing = get_pricing_for_provider("nous")
model_ids = filter_nous_free_models(model_ids, pricing)
free_tier = check_nous_free_tier()
if free_tier:
model_ids, unavailable_models = partition_nous_models_by_tier(
model_ids, pricing, free_tier=True,
)
_portal = auth_state.get("portal_base_url", "")
if model_ids:
print(f"Showing {len(model_ids)} curated models — use \"Enter custom model name\" for others.")
selected_model = _prompt_model_selection(
model_ids, pricing=pricing,
unavailable_models=unavailable_models,
portal_url=_portal,
)
selected_model = _prompt_model_selection(model_ids)
if selected_model:
_save_model_choice(selected_model)
print(f"Default model set to: {selected_model}")
elif unavailable_models:
_url = (_portal or DEFAULT_NOUS_PORTAL_URL).rstrip("/")
print("No free models currently available.")
print(f"Upgrade at {_url} to access paid models.")
else:
print("No curated models available for Nous Portal.")
except Exception as exc:
+20 -68
View File
@@ -18,13 +18,14 @@ from agent.credential_pool import (
STRATEGY_ROUND_ROBIN,
STRATEGY_RANDOM,
STRATEGY_LEAST_USED,
SUPPORTED_POOL_STRATEGIES,
PooledCredential,
_exhausted_until,
_normalize_custom_pool_name,
get_pool_strategy,
label_from_token,
list_custom_pool_providers,
load_pool,
_exhausted_ttl,
)
import hermes_cli.auth as auth_mod
from hermes_cli.auth import PROVIDER_REGISTRY
@@ -112,27 +113,21 @@ def _display_source(source: str) -> str:
def _format_exhausted_status(entry) -> str:
if entry.last_status != STATUS_EXHAUSTED:
return ""
reason = getattr(entry, "last_error_reason", None)
reason_text = f" {reason}" if isinstance(reason, str) and reason.strip() else ""
code = f" ({entry.last_error_code})" if entry.last_error_code else ""
exhausted_until = _exhausted_until(entry)
if exhausted_until is None:
return f" exhausted{reason_text}{code}"
remaining = max(0, int(math.ceil(exhausted_until - time.time())))
if not entry.last_status_at:
return f" exhausted{code}"
remaining = max(0, int(math.ceil((entry.last_status_at + _exhausted_ttl(entry.last_error_code)) - time.time())))
if remaining <= 0:
return f" exhausted{reason_text}{code} (ready to retry)"
return f" exhausted{code} (ready to retry)"
minutes, seconds = divmod(remaining, 60)
hours, minutes = divmod(minutes, 60)
days, hours = divmod(hours, 24)
if days:
wait = f"{days}d {hours}h"
elif hours:
if hours:
wait = f"{hours}h {minutes}m"
elif minutes:
wait = f"{minutes}m {seconds}s"
else:
wait = f"{seconds}s"
return f" exhausted{reason_text}{code} ({wait} left)"
return f" exhausted{code} ({wait} left)"
def auth_add_command(args) -> None:
@@ -282,54 +277,13 @@ def auth_list_command(args) -> None:
def auth_remove_command(args) -> None:
provider = _normalize_provider(getattr(args, "provider", ""))
target = getattr(args, "target", None)
if target is None:
target = getattr(args, "index", None)
index = int(getattr(args, "index"))
pool = load_pool(provider)
index, matched, error = pool.resolve_target(target)
if matched is None or index is None:
raise SystemExit(f"{error} Provider: {provider}.")
removed = pool.remove_index(index)
if removed is None:
raise SystemExit(f'No credential matching "{target}" for provider {provider}.')
raise SystemExit(f"No credential #{index} for provider {provider}.")
print(f"Removed {provider} credential #{index} ({removed.label})")
# If this was an env-seeded credential, also clear the env var from .env
# so it doesn't get re-seeded on the next load_pool() call.
if removed.source.startswith("env:"):
env_var = removed.source[len("env:"):]
if env_var:
from hermes_cli.config import remove_env_value
cleared = remove_env_value(env_var)
if cleared:
print(f"Cleared {env_var} from .env")
# If this was a singleton-seeded credential (OAuth device_code, hermes_pkce),
# clear the underlying auth store / credential file so it doesn't get
# re-seeded on the next load_pool() call.
elif removed.source == "device_code" and provider in ("openai-codex", "nous"):
from hermes_cli.auth import (
_load_auth_store, _save_auth_store, _auth_store_lock,
)
with _auth_store_lock():
auth_store = _load_auth_store()
providers_dict = auth_store.get("providers")
if isinstance(providers_dict, dict) and provider in providers_dict:
del providers_dict[provider]
_save_auth_store(auth_store)
print(f"Cleared {provider} OAuth tokens from auth store")
elif removed.source == "hermes_pkce" and provider == "anthropic":
from hermes_constants import get_hermes_home
oauth_file = get_hermes_home() / ".anthropic_oauth.json"
if oauth_file.exists():
oauth_file.unlink()
print("Cleared Hermes Anthropic OAuth credentials")
elif removed.source == "claude_code" and provider == "anthropic":
print("Note: Claude Code credentials live in ~/.claude/.credentials.json")
print(" Remove them manually if you want to deauthorize Claude Code.")
def auth_reset_command(args) -> None:
provider = _normalize_provider(getattr(args, "provider", ""))
@@ -415,16 +369,8 @@ def _interactive_add() -> None:
else:
auth_type = "api_key"
label = None
try:
typed_label = input("Label / account name (optional): ").strip()
except (EOFError, KeyboardInterrupt):
return
if typed_label:
label = typed_label
auth_add_command(SimpleNamespace(
provider=provider, auth_type=auth_type, label=label, api_key=None,
provider=provider, auth_type=auth_type, label=None, api_key=None,
portal_url=None, inference_url=None, client_id=None, scope=None,
no_browser=False, timeout=None, insecure=False, ca_bundle=None,
))
@@ -440,16 +386,22 @@ def _interactive_remove() -> None:
# Show entries with indices
for i, e in enumerate(pool.entries(), 1):
exhausted = _format_exhausted_status(e)
print(f" #{i} {e.label:25s} {e.auth_type:10s} {e.source}{exhausted} [id:{e.id}]")
print(f" #{i} {e.label:25s} {e.auth_type:10s} {e.source}{exhausted}")
try:
raw = input("Remove #, id, or label (blank to cancel): ").strip()
raw = input("Remove # (or blank to cancel): ").strip()
except (EOFError, KeyboardInterrupt):
return
if not raw:
return
auth_remove_command(SimpleNamespace(provider=provider, target=raw))
try:
index = int(raw)
except ValueError:
print("Invalid number.")
return
auth_remove_command(SimpleNamespace(provider=provider, index=index))
def _interactive_reset() -> None:
+1
View File
@@ -5,6 +5,7 @@ Pure display functions with no HermesCLI state dependency.
import json
import logging
import os
import shutil
import subprocess
import threading
+42 -1
View File
@@ -25,7 +25,7 @@ def clarify_callback(cli, question, choices):
timeout = CLI_CONFIG.get("clarify", {}).get("timeout", 120)
response_queue = queue.Queue()
is_open_ended = not choices
is_open_ended = not choices or len(choices) == 0
cli._clarify_state = {
"question": question,
@@ -63,6 +63,47 @@ def clarify_callback(cli, question, choices):
)
def sudo_password_callback(cli) -> str:
"""Prompt for sudo password through the TUI.
Sets up a password input area and blocks until the user responds.
"""
timeout = 45
response_queue = queue.Queue()
cli._sudo_state = {"response_queue": response_queue}
cli._sudo_deadline = _time.monotonic() + timeout
if hasattr(cli, "_app") and cli._app:
cli._app.invalidate()
while True:
try:
result = response_queue.get(timeout=1)
cli._sudo_state = None
cli._sudo_deadline = 0
if hasattr(cli, "_app") and cli._app:
cli._app.invalidate()
if result:
cprint(f"\n{_DIM} ✓ Password received (cached for session){_RST}")
else:
cprint(f"\n{_DIM} ⏭ Skipped{_RST}")
return result
except queue.Empty:
remaining = cli._sudo_deadline - _time.monotonic()
if remaining <= 0:
break
if hasattr(cli, "_app") and cli._app:
cli._app.invalidate()
cli._sudo_state = None
cli._sudo_deadline = 0
if hasattr(cli, "_app") and cli._app:
cli._app.invalidate()
cprint(f"\n{_DIM} ⏱ Timeout — continuing without sudo{_RST}")
return ""
def prompt_for_secret(cli, var_name: str, prompt: str, metadata=None) -> dict:
"""Prompt for a secret value through the TUI (e.g. API keys for skills).
+2
View File
@@ -10,6 +10,7 @@ Usage:
import importlib.util
import logging
import shutil
import sys
from datetime import datetime
from pathlib import Path
@@ -23,6 +24,7 @@ from hermes_cli.setup import (
print_info,
print_success,
print_error,
print_warning,
prompt_yes_no,
)
+22 -108
View File
@@ -1,4 +1,4 @@
"""Clipboard image extraction for macOS, Windows, Linux, and WSL2.
"""Clipboard image extraction for macOS, Linux, and WSL2.
Provides a single function `save_clipboard_image(dest)` that checks the
system clipboard for image data, saves it to *dest* as PNG, and returns
@@ -6,10 +6,9 @@ True on success. No external Python dependencies — uses only OS-level
CLI tools that ship with the platform (or are commonly installed).
Platform support:
macOS osascript (always available), pngpaste (if installed)
Windows PowerShell via .NET System.Windows.Forms.Clipboard
WSL2 powershell.exe via .NET System.Windows.Forms.Clipboard
Linux wl-paste (Wayland), xclip (X11)
macOS osascript (always available), pngpaste (if installed)
WSL2 powershell.exe via .NET System.Windows.Forms.Clipboard
Linux wl-paste (Wayland), xclip (X11)
"""
import base64
@@ -33,8 +32,6 @@ def save_clipboard_image(dest: Path) -> bool:
dest.parent.mkdir(parents=True, exist_ok=True)
if sys.platform == "darwin":
return _macos_save(dest)
if sys.platform == "win32":
return _windows_save(dest)
return _linux_save(dest)
@@ -45,8 +42,6 @@ def has_clipboard_image() -> bool:
"""
if sys.platform == "darwin":
return _macos_has_image()
if sys.platform == "win32":
return _windows_has_image()
if _is_wsl():
return _wsl_has_image()
if os.environ.get("WAYLAND_DISPLAY"):
@@ -117,104 +112,6 @@ def _macos_osascript(dest: Path) -> bool:
return False
# ── Shared PowerShell scripts (native Windows + WSL2) ─────────────────────
# .NET System.Windows.Forms.Clipboard — used by both native Windows (powershell)
# and WSL2 (powershell.exe) paths.
_PS_CHECK_IMAGE = (
"Add-Type -AssemblyName System.Windows.Forms;"
"[System.Windows.Forms.Clipboard]::ContainsImage()"
)
_PS_EXTRACT_IMAGE = (
"Add-Type -AssemblyName System.Windows.Forms;"
"Add-Type -AssemblyName System.Drawing;"
"$img = [System.Windows.Forms.Clipboard]::GetImage();"
"if ($null -eq $img) { exit 1 }"
"$ms = New-Object System.IO.MemoryStream;"
"$img.Save($ms, [System.Drawing.Imaging.ImageFormat]::Png);"
"[System.Convert]::ToBase64String($ms.ToArray())"
)
# ── Native Windows ────────────────────────────────────────────────────────
# Native Windows uses ``powershell`` (Windows PowerShell 5.1, always present)
# or ``pwsh`` (PowerShell 7+, optional). Discovery is cached per-process.
def _find_powershell() -> str | None:
"""Return the first available PowerShell executable, or None."""
for name in ("powershell", "pwsh"):
try:
r = subprocess.run(
[name, "-NoProfile", "-NonInteractive", "-Command", "echo ok"],
capture_output=True, text=True, timeout=5,
)
if r.returncode == 0 and "ok" in r.stdout:
return name
except FileNotFoundError:
continue
except Exception:
continue
return None
# Cache the resolved PowerShell executable (checked once per process)
_ps_exe: str | None | bool = False # False = not yet checked
def _get_ps_exe() -> str | None:
global _ps_exe
if _ps_exe is False:
_ps_exe = _find_powershell()
return _ps_exe
def _windows_has_image() -> bool:
"""Check if the Windows clipboard contains an image."""
ps = _get_ps_exe()
if ps is None:
return False
try:
r = subprocess.run(
[ps, "-NoProfile", "-NonInteractive", "-Command", _PS_CHECK_IMAGE],
capture_output=True, text=True, timeout=5,
)
return r.returncode == 0 and "True" in r.stdout
except Exception as e:
logger.debug("Windows clipboard image check failed: %s", e)
return False
def _windows_save(dest: Path) -> bool:
"""Extract clipboard image on native Windows via PowerShell → base64 PNG."""
ps = _get_ps_exe()
if ps is None:
logger.debug("No PowerShell found — Windows clipboard image paste unavailable")
return False
try:
r = subprocess.run(
[ps, "-NoProfile", "-NonInteractive", "-Command", _PS_EXTRACT_IMAGE],
capture_output=True, text=True, timeout=15,
)
if r.returncode != 0:
return False
b64_data = r.stdout.strip()
if not b64_data:
return False
png_bytes = base64.b64decode(b64_data)
dest.write_bytes(png_bytes)
return dest.exists() and dest.stat().st_size > 0
except Exception as e:
logger.debug("Windows clipboard image extraction failed: %s", e)
dest.unlink(missing_ok=True)
return False
# ── Linux ────────────────────────────────────────────────────────────────
def _is_wsl() -> bool:
@@ -245,7 +142,24 @@ def _linux_save(dest: Path) -> bool:
# ── WSL2 (powershell.exe) ────────────────────────────────────────────────
# Reuses _PS_CHECK_IMAGE / _PS_EXTRACT_IMAGE defined above.
# PowerShell script: get clipboard image as base64-encoded PNG on stdout.
# Using .NET System.Windows.Forms.Clipboard — always available on Windows.
_PS_CHECK_IMAGE = (
"Add-Type -AssemblyName System.Windows.Forms;"
"[System.Windows.Forms.Clipboard]::ContainsImage()"
)
_PS_EXTRACT_IMAGE = (
"Add-Type -AssemblyName System.Windows.Forms;"
"Add-Type -AssemblyName System.Drawing;"
"$img = [System.Windows.Forms.Clipboard]::GetImage();"
"if ($null -eq $img) { exit 1 }"
"$ms = New-Object System.IO.MemoryStream;"
"$img.Save($ms, [System.Drawing.Imaging.ImageFormat]::Png);"
"[System.Convert]::ToBase64String($ms.ToArray())"
)
def _wsl_has_image() -> bool:
"""Check if Windows clipboard has an image (via powershell.exe)."""
+80 -237
View File
@@ -84,7 +84,6 @@ COMMAND_REGISTRY: list[CommandDef] = [
# Configuration
CommandDef("config", "Show current configuration", "Configuration",
cli_only=True),
CommandDef("model", "Switch model for this session", "Configuration", args_hint="[model] [--global]"),
CommandDef("provider", "Show available providers and current provider",
"Configuration"),
CommandDef("prompt", "View/set custom system prompt", "Configuration",
@@ -294,8 +293,10 @@ def _resolve_config_gates() -> set[str]:
return set()
try:
import yaml
from hermes_constants import get_hermes_home
config_path = str(get_hermes_home() / "config.yaml")
config_path = os.path.join(
os.getenv("HERMES_HOME", os.path.expanduser("~/.hermes")),
"config.yaml",
)
if os.path.exists(config_path):
with open(config_path, encoding="utf-8") as f:
cfg = yaml.safe_load(f) or {}
@@ -364,46 +365,21 @@ def telegram_bot_commands() -> list[tuple[str, str]]:
for cmd in COMMAND_REGISTRY:
if not _is_gateway_available(cmd, overrides):
continue
tg_name = _sanitize_telegram_name(cmd.name)
if tg_name:
result.append((tg_name, cmd.description))
tg_name = cmd.name.replace("-", "_")
result.append((tg_name, cmd.description))
return result
_CMD_NAME_LIMIT = 32
"""Max command name length shared by Telegram and Discord."""
# Backward-compat alias — tests and external code may reference the old name.
_TG_NAME_LIMIT = _CMD_NAME_LIMIT
# Telegram Bot API allows only lowercase a-z, 0-9, and underscores in
# command names. This regex strips everything else after initial conversion.
_TG_INVALID_CHARS = re.compile(r"[^a-z0-9_]")
_TG_MULTI_UNDERSCORE = re.compile(r"_{2,}")
_TG_NAME_LIMIT = 32
def _sanitize_telegram_name(raw: str) -> str:
"""Convert a command/skill/plugin name to a valid Telegram command name.
Telegram requires: 1-32 chars, lowercase a-z, digits 0-9, underscores only.
Steps: lowercase replace hyphens with underscores strip all other
invalid characters collapse consecutive underscores strip leading/
trailing underscores.
"""
name = raw.lower().replace("-", "_")
name = _TG_INVALID_CHARS.sub("", name)
name = _TG_MULTI_UNDERSCORE.sub("_", name)
return name.strip("_")
def _clamp_command_names(
def _clamp_telegram_names(
entries: list[tuple[str, str]],
reserved: set[str],
) -> list[tuple[str, str]]:
"""Enforce 32-char command name limit with collision avoidance.
"""Enforce Telegram's 32-char command name limit with collision avoidance.
Both Telegram and Discord cap slash command names at 32 characters.
Names exceeding the limit are truncated. If truncation creates a duplicate
Names exceeding 32 chars are truncated. If truncation creates a duplicate
(against *reserved* names or earlier entries in the same batch), the name is
shortened to 31 chars and a digit ``0``-``9`` is appended to differentiate.
If all 10 digit slots are taken the entry is silently dropped.
@@ -411,10 +387,10 @@ def _clamp_command_names(
used: set[str] = set(reserved)
result: list[tuple[str, str]] = []
for name, desc in entries:
if len(name) > _CMD_NAME_LIMIT:
candidate = name[:_CMD_NAME_LIMIT]
if len(name) > _TG_NAME_LIMIT:
candidate = name[:_TG_NAME_LIMIT]
if candidate in used:
prefix = name[:_CMD_NAME_LIMIT - 1]
prefix = name[:_TG_NAME_LIMIT - 1]
for digit in range(10):
candidate = f"{prefix}{digit}"
if candidate not in used:
@@ -430,129 +406,6 @@ def _clamp_command_names(
return result
# Backward-compat alias.
_clamp_telegram_names = _clamp_command_names
# ---------------------------------------------------------------------------
# Shared skill/plugin collection for gateway platforms
# ---------------------------------------------------------------------------
def _collect_gateway_skill_entries(
platform: str,
max_slots: int,
reserved_names: set[str],
desc_limit: int = 100,
sanitize_name: "Callable[[str], str] | None" = None,
) -> tuple[list[tuple[str, str, str]], int]:
"""Collect plugin + skill entries for a gateway platform.
Priority order:
1. Plugin slash commands (take precedence over skills)
2. Built-in skill commands (fill remaining slots, alphabetical)
Only skills are trimmed when the cap is reached.
Hub-installed skills are excluded. Per-platform disabled skills are
excluded.
Args:
platform: Platform identifier for per-platform skill filtering
(``"telegram"``, ``"discord"``, etc.).
max_slots: Maximum number of entries to return (remaining slots after
built-in/core commands).
reserved_names: Names already taken by built-in commands. Mutated
in-place as new names are added.
desc_limit: Max description length (40 for Telegram, 100 for Discord).
sanitize_name: Optional name transform applied before clamping, e.g.
:func:`_sanitize_telegram_name` for Telegram. May return an
empty string to signal "skip this entry".
Returns:
``(entries, hidden_count)`` where *entries* is a list of
``(name, description, cmd_key)`` triples and *hidden_count* is the
number of skill entries dropped due to the cap. ``cmd_key`` is the
original ``/skill-name`` key from :func:`get_skill_commands`.
"""
all_entries: list[tuple[str, str, str]] = []
# --- Tier 1: Plugin slash commands (never trimmed) ---------------------
plugin_pairs: list[tuple[str, str]] = []
try:
from hermes_cli.plugins import get_plugin_manager
pm = get_plugin_manager()
plugin_cmds = getattr(pm, "_plugin_commands", {})
for cmd_name in sorted(plugin_cmds):
name = sanitize_name(cmd_name) if sanitize_name else cmd_name
if not name:
continue
desc = "Plugin command"
if len(desc) > desc_limit:
desc = desc[:desc_limit - 3] + "..."
plugin_pairs.append((name, desc))
except Exception:
pass
plugin_pairs = _clamp_command_names(plugin_pairs, reserved_names)
reserved_names.update(n for n, _ in plugin_pairs)
# Plugins have no cmd_key — use empty string as placeholder
for n, d in plugin_pairs:
all_entries.append((n, d, ""))
# --- Tier 2: Built-in skill commands (trimmed at cap) -----------------
_platform_disabled: set[str] = set()
try:
from agent.skill_utils import get_disabled_skill_names
_platform_disabled = get_disabled_skill_names(platform=platform)
except Exception:
pass
skill_triples: list[tuple[str, str, str]] = []
try:
from agent.skill_commands import get_skill_commands
from tools.skills_tool import SKILLS_DIR
_skills_dir = str(SKILLS_DIR.resolve())
_hub_dir = str((SKILLS_DIR / ".hub").resolve())
skill_cmds = get_skill_commands()
for cmd_key in sorted(skill_cmds):
info = skill_cmds[cmd_key]
skill_path = info.get("skill_md_path", "")
if not skill_path.startswith(_skills_dir):
continue
if skill_path.startswith(_hub_dir):
continue
skill_name = info.get("name", "")
if skill_name in _platform_disabled:
continue
raw_name = cmd_key.lstrip("/")
name = sanitize_name(raw_name) if sanitize_name else raw_name
if not name:
continue
desc = info.get("description", "")
if len(desc) > desc_limit:
desc = desc[:desc_limit - 3] + "..."
skill_triples.append((name, desc, cmd_key))
except Exception:
pass
# Clamp names; _clamp_command_names works on (name, desc) pairs so we
# need to zip/unzip.
skill_pairs = [(n, d) for n, d, _ in skill_triples]
key_by_pair = {(n, d): k for n, d, k in skill_triples}
skill_pairs = _clamp_command_names(skill_pairs, reserved_names)
# Skills fill remaining slots — only tier that gets trimmed
remaining = max(0, max_slots - len(all_entries))
hidden_count = max(0, len(skill_pairs) - remaining)
for n, d in skill_pairs[:remaining]:
all_entries.append((n, d, key_by_pair.get((n, d), "")))
return all_entries[:max_slots], hidden_count
# ---------------------------------------------------------------------------
# Platform-specific wrappers
# ---------------------------------------------------------------------------
def telegram_menu_commands(max_commands: int = 100) -> tuple[list[tuple[str, str]], int]:
"""Return Telegram menu commands capped to the Bot API limit.
@@ -571,52 +424,80 @@ def telegram_menu_commands(max_commands: int = 100) -> tuple[list[tuple[str, str
skill commands omitted due to the cap.
"""
core_commands = list(telegram_bot_commands())
# Reserve core names so plugin/skill truncation can't collide with them
reserved_names = {n for n, _ in core_commands}
all_commands = list(core_commands)
# Plugin slash commands get priority over skills
plugin_entries: list[tuple[str, str]] = []
try:
from hermes_cli.plugins import get_plugin_manager
pm = get_plugin_manager()
plugin_cmds = getattr(pm, "_plugin_commands", {})
for cmd_name in sorted(plugin_cmds):
tg_name = cmd_name.replace("-", "_")
desc = "Plugin command"
if len(desc) > 40:
desc = desc[:37] + "..."
plugin_entries.append((tg_name, desc))
except Exception:
pass
# Clamp plugin names to 32 chars with collision avoidance
plugin_entries = _clamp_telegram_names(plugin_entries, reserved_names)
reserved_names.update(n for n, _ in plugin_entries)
all_commands.extend(plugin_entries)
# Load per-platform disabled skills so they don't consume menu slots.
# get_skill_commands() already filters the *global* disabled list, but
# per-platform overrides (skills.platform_disabled.telegram) were never
# applied here — that's what this block fixes.
_platform_disabled: set[str] = set()
try:
from agent.skill_utils import get_disabled_skill_names
_platform_disabled = get_disabled_skill_names(platform="telegram")
except Exception:
pass
# Remaining slots go to built-in skill commands (not hub-installed).
skill_entries: list[tuple[str, str]] = []
try:
from agent.skill_commands import get_skill_commands
from tools.skills_tool import SKILLS_DIR
_skills_dir = str(SKILLS_DIR.resolve())
_hub_dir = str((SKILLS_DIR / ".hub").resolve())
skill_cmds = get_skill_commands()
for cmd_key in sorted(skill_cmds):
info = skill_cmds[cmd_key]
skill_path = info.get("skill_md_path", "")
if not skill_path.startswith(_skills_dir):
continue
if skill_path.startswith(_hub_dir):
continue
# Skip skills disabled for telegram
skill_name = info.get("name", "")
if skill_name in _platform_disabled:
continue
name = cmd_key.lstrip("/").replace("-", "_")
desc = info.get("description", "")
# Keep descriptions short — setMyCommands has an undocumented
# total payload limit. 40 chars fits 100 commands safely.
if len(desc) > 40:
desc = desc[:37] + "..."
skill_entries.append((name, desc))
except Exception:
pass
# Clamp skill names to 32 chars with collision avoidance
skill_entries = _clamp_telegram_names(skill_entries, reserved_names)
# Skills fill remaining slots — they're the only tier that gets trimmed
remaining_slots = max(0, max_commands - len(all_commands))
entries, hidden_count = _collect_gateway_skill_entries(
platform="telegram",
max_slots=remaining_slots,
reserved_names=reserved_names,
desc_limit=40,
sanitize_name=_sanitize_telegram_name,
)
# Drop the cmd_key — Telegram only needs (name, desc) pairs.
all_commands.extend((n, d) for n, d, _k in entries)
hidden_count = max(0, len(skill_entries) - remaining_slots)
all_commands.extend(skill_entries[:remaining_slots])
return all_commands[:max_commands], hidden_count
def discord_skill_commands(
max_slots: int,
reserved_names: set[str],
) -> tuple[list[tuple[str, str, str]], int]:
"""Return skill entries for Discord slash command registration.
Same priority and filtering logic as :func:`telegram_menu_commands`
(plugins > skills, hub excluded, per-platform disabled excluded), but
adapted for Discord's constraints:
- Hyphens are allowed in names (no ``-`` ``_`` sanitization)
- Descriptions capped at 100 chars (Discord's per-field max)
Args:
max_slots: Available command slots (100 minus existing built-in count).
reserved_names: Names of already-registered built-in commands.
Returns:
``(entries, hidden_count)`` where *entries* is a list of
``(discord_name, description, cmd_key)`` triples. ``cmd_key`` is
the original ``/skill-name`` key needed for the slash handler callback.
"""
return _collect_gateway_skill_entries(
platform="discord",
max_slots=max_slots,
reserved_names=set(reserved_names), # copy — don't mutate caller's set
desc_limit=100,
)
def slack_subcommand_map() -> dict[str, str]:
"""Return subcommand -> /command mapping for Slack /hermes handler.
@@ -863,39 +744,6 @@ class SlashCommandCompleter(Completer):
)
count += 1
def _model_completions(self, sub_text: str, sub_lower: str):
"""Yield completions for /model from config aliases + built-in aliases."""
seen = set()
# Config-based direct aliases (preferred — include provider info)
try:
from hermes_cli.model_switch import (
_ensure_direct_aliases, DIRECT_ALIASES, MODEL_ALIASES,
)
_ensure_direct_aliases()
for name, da in DIRECT_ALIASES.items():
if name.startswith(sub_lower) and name != sub_lower:
seen.add(name)
yield Completion(
name,
start_position=-len(sub_text),
display=name,
display_meta=f"{da.model} ({da.provider})",
)
# Built-in catalog aliases not already covered
for name in sorted(MODEL_ALIASES.keys()):
if name in seen:
continue
if name.startswith(sub_lower) and name != sub_lower:
identity = MODEL_ALIASES[name]
yield Completion(
name,
start_position=-len(sub_text),
display=name,
display_meta=f"{identity.vendor}/{identity.family}",
)
except Exception:
pass
def get_completions(self, document, complete_event):
text = document.text_before_cursor
if not text.startswith("/"):
@@ -917,11 +765,6 @@ class SlashCommandCompleter(Completer):
sub_text = parts[1] if len(parts) > 1 else ""
sub_lower = sub_text.lower()
# Dynamic model alias completions for /model
if " " not in sub_text and base_cmd == "/model":
yield from self._model_completions(sub_text, sub_lower)
return
# Static subcommand completions
if " " not in sub_text and base_cmd in SUBCOMMANDS:
for sub in SUBCOMMANDS[base_cmd]:
+9 -487
View File
@@ -19,7 +19,6 @@ import stat
import subprocess
import sys
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Any, Optional, List, Tuple
@@ -42,8 +41,7 @@ _EXTRA_ENV_KEYS = frozenset({
"TERMINAL_ENV", "TERMINAL_SSH_KEY", "TERMINAL_SSH_PORT",
"WHATSAPP_MODE", "WHATSAPP_ENABLED",
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_REPLY_MODE",
"MATRIX_PASSWORD", "MATRIX_ENCRYPTION", "MATRIX_DEVICE_ID", "MATRIX_HOME_ROOM",
"MATRIX_REQUIRE_MENTION", "MATRIX_FREE_RESPONSE_ROOMS", "MATRIX_AUTO_THREAD",
"MATRIX_PASSWORD", "MATRIX_ENCRYPTION", "MATRIX_HOME_ROOM",
})
import yaml
@@ -200,17 +198,11 @@ def ensure_hermes_home():
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,
# 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
@@ -321,7 +313,7 @@ DEFAULT_CONFIG = {
"model": "",
"base_url": "",
"api_key": "",
"timeout": 360, # seconds (6min) — per-attempt LLM summarization timeout; increase for slow local models
"timeout": 30, # seconds increase for slow local models
},
"compression": {
"provider": "auto",
@@ -537,16 +529,8 @@ DEFAULT_CONFIG = {
"wrap_response": True,
},
# 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
},
# Config schema version - bump this when adding new required fields
"_config_version": 12,
"_config_version": 11,
}
# =============================================================================
@@ -590,30 +574,6 @@ OPTIONAL_ENV_VARS = {
"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,
},
"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",
@@ -868,13 +828,6 @@ OPTIONAL_ENV_VARS = {
"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",
@@ -1055,38 +1008,6 @@ OPTIONAL_ENV_VARS = {
"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_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,
},
"GATEWAY_ALLOW_ALL_USERS": {
"description": "Allow all users to interact with messaging bots (true/false). Default: false.",
"prompt": "Allow all users (true/false)",
@@ -1279,43 +1200,6 @@ def get_missing_config_fields() -> List[Dict[str, Any]]:
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 check_config_version() -> Tuple[int, int]:
"""
Check config version.
@@ -1328,182 +1212,6 @@ def check_config_version() -> Tuple[int, int]:
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", "memory", "gateway",
}
# Valid fields inside a custom_providers list entry
_VALID_CUSTOM_PROVIDER_FIELDS = {
"name", "base_url", "api_key", "api_mode", "models",
"context_length", "rate_limit_delay",
}
# 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 must be a top-level dict with provider + model ────
fb = config.get("fallback_model")
if fb is not None:
if 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
import sys
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 migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, Any]:
"""
Migrate config to latest version, prompting for new required fields.
@@ -1579,69 +1287,6 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
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
del config["custom_providers"]
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', '')}")
if current_ver < latest_ver and not quiet:
print(f"Config version: {current_ver}{latest_ver}")
@@ -1747,50 +1392,7 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
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
@@ -1881,24 +1483,6 @@ def _normalize_max_turns_config(config: Dict[str, Any]) -> Dict[str, Any]:
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.
"""
try:
config_path = get_config_path()
if config_path.exists():
with open(config_path, encoding="utf-8") as f:
return yaml.safe_load(f) or {}
except Exception:
pass
return {}
def load_config() -> Dict[str, Any]:
"""Load configuration from ~/.hermes/config.yaml."""
import copy
@@ -1950,8 +1534,8 @@ _FALLBACK_COMMENT = """
#
# Supported providers:
# openrouter (OPENROUTER_API_KEY) — routes to any model
# openai-codex (OAuth — hermes auth) — OpenAI Codex
# nous (OAuth — hermes auth) — Nous Portal
# openai-codex (OAuth — hermes login) — OpenAI Codex
# nous (OAuth — hermes login) — Nous Portal
# zai (ZAI_API_KEY) — Z.AI / GLM
# kimi-coding (KIMI_API_KEY) — Kimi / Moonshot
# minimax (MINIMAX_API_KEY) — MiniMax
@@ -1993,8 +1577,8 @@ _COMMENTED_SECTIONS = """
#
# Supported providers:
# openrouter (OPENROUTER_API_KEY) — routes to any model
# openai-codex (OAuth — hermes auth) — OpenAI Codex
# nous (OAuth — hermes auth) — Nous Portal
# openai-codex (OAuth — hermes login) — OpenAI Codex
# nous (OAuth — hermes login) — Nous Portal
# zai (ZAI_API_KEY) — Z.AI / GLM
# kimi-coding (KIMI_API_KEY) — Kimi / Moonshot
# minimax (MINIMAX_API_KEY) — MiniMax
@@ -2227,51 +1811,6 @@ def save_env_value(key: str, value: str):
pass
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_')
try:
with os.fdopen(fd, 'w', **write_kw) as f:
f.writelines(new_lines)
f.flush()
os.fsync(f.fileno())
os.replace(tmp_path, env_path)
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
@@ -2462,23 +2001,6 @@ def show_config():
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))
@@ -2538,7 +2060,7 @@ def set_config_value(key: str, value: str):
'TINKER_API_KEY',
]
if key.upper() in api_keys or key.upper().endswith(('_API_KEY', '_TOKEN')) or key.upper().startswith('TERMINAL_SSH'):
if key.upper() in api_keys or key.upper().endswith('_API_KEY') or key.upper().endswith('_TOKEN') or key.upper().startswith('TERMINAL_SSH'):
save_env_value(key.upper(), value)
print(f"✓ Set {key} in {get_env_path()}")
return
-10
View File
@@ -90,9 +90,6 @@ def cron_list(show_all: bool = False):
print(f" Deliver: {deliver_str}")
if skills:
print(f" Skills: {', '.join(skills)}")
script = job.get("script")
if script:
print(f" Script: {script}")
print()
from hermes_cli.gateway import find_gateway_pids
@@ -152,7 +149,6 @@ def cron_create(args):
repeat=getattr(args, "repeat", None),
skill=getattr(args, "skill", None),
skills=_normalize_skills(getattr(args, "skill", None), getattr(args, "skills", None)),
script=getattr(args, "script", None),
)
if not result.get("success"):
print(color(f"Failed to create job: {result.get('error', 'unknown error')}", Colors.RED))
@@ -162,9 +158,6 @@ def cron_create(args):
print(f" Schedule: {result['schedule']}")
if result.get("skills"):
print(f" Skills: {', '.join(result['skills'])}")
job_data = result.get("job", {})
if job_data.get("script"):
print(f" Script: {job_data['script']}")
print(f" Next run: {result['next_run_at']}")
return 0
@@ -202,7 +195,6 @@ def cron_edit(args):
deliver=getattr(args, "deliver", None),
repeat=getattr(args, "repeat", None),
skills=final_skills,
script=getattr(args, "script", None),
)
if not result.get("success"):
print(color(f"Failed to update job: {result.get('error', 'unknown error')}", Colors.RED))
@@ -216,8 +208,6 @@ def cron_edit(args):
print(f" Skills: {', '.join(updated['skills'])}")
else:
print(" Skills: none")
if updated.get("script"):
print(f" Script: {updated['script']}")
return 0
+3 -22
View File
@@ -318,25 +318,6 @@ def run_doctor(args):
except Exception:
pass
# Validate config structure (catches malformed custom_providers, etc.)
try:
from hermes_cli.config import validate_config_structure
config_issues = validate_config_structure()
if config_issues:
print()
print(color("◆ Config Structure", Colors.CYAN, Colors.BOLD))
for ci in config_issues:
if ci.severity == "error":
check_fail(ci.message)
else:
check_warn(ci.message)
# Show the hint indented
for hint_line in ci.hint.splitlines():
check_info(hint_line)
issues.append(ci.message)
except Exception:
pass
# =========================================================================
# Check: Auth providers
# =========================================================================
@@ -836,7 +817,7 @@ def run_doctor(args):
get_honcho_client(hcfg)
check_ok(
"Honcho connected",
f"workspace={hcfg.workspace_id} mode={hcfg.recall_mode} freq={hcfg.write_frequency}",
f"workspace={hcfg.workspace_id} mode={hcfg.memory_mode} freq={hcfg.write_frequency}",
)
except Exception as _e:
check_fail("Honcho connection failed", str(_e))
@@ -920,8 +901,8 @@ def run_doctor(args):
pass
except ImportError:
pass
except Exception:
pass
except Exception as _e:
logger.debug("Profile health check failed: %s", _e)
# =========================================================================
# Summary
+68 -179
View File
@@ -28,78 +28,9 @@ from hermes_cli.colors import Colors, color
# Process Management (for manual gateway runs)
# =============================================================================
def _get_service_pids() -> set:
"""Return PIDs currently managed by systemd or launchd gateway services.
Used to avoid killing freshly-restarted service processes when sweeping
for stale manual gateway processes after a service restart. Relies on the
service manager having committed the new PID before the restart command
returns (true for both systemd and launchd in practice).
"""
pids: set = set()
# --- systemd (Linux): user and system scopes ---
if is_linux():
for scope_args in [["systemctl", "--user"], ["systemctl"]]:
try:
result = subprocess.run(
scope_args + ["list-units", "hermes-gateway*",
"--plain", "--no-legend", "--no-pager"],
capture_output=True, text=True, timeout=5,
)
for line in result.stdout.strip().splitlines():
parts = line.split()
if not parts or not parts[0].endswith(".service"):
continue
svc = parts[0]
try:
show = subprocess.run(
scope_args + ["show", svc,
"--property=MainPID", "--value"],
capture_output=True, text=True, timeout=5,
)
pid = int(show.stdout.strip())
if pid > 0:
pids.add(pid)
except (ValueError, subprocess.TimeoutExpired):
pass
except (FileNotFoundError, subprocess.TimeoutExpired):
pass
# --- launchd (macOS) ---
if is_macos():
try:
label = get_launchd_label()
result = subprocess.run(
["launchctl", "list", label],
capture_output=True, text=True, timeout=5,
)
if result.returncode == 0:
# Output: "PID\tStatus\tLabel" header, then one data line
for line in result.stdout.strip().splitlines():
parts = line.split()
if len(parts) >= 3 and parts[2] == label:
try:
pid = int(parts[0])
if pid > 0:
pids.add(pid)
except ValueError:
pass
except (FileNotFoundError, subprocess.TimeoutExpired):
pass
return pids
def find_gateway_pids(exclude_pids: set | None = None) -> list:
"""Find PIDs of running gateway processes.
Args:
exclude_pids: PIDs to exclude from the result (e.g. service-managed
PIDs that should not be killed during a stale-process sweep).
"""
def find_gateway_pids() -> list:
"""Find PIDs of running gateway processes."""
pids = []
_exclude = exclude_pids or set()
patterns = [
"hermes_cli.main gateway",
"hermes_cli/main.py gateway",
@@ -112,7 +43,7 @@ def find_gateway_pids(exclude_pids: set | None = None) -> list:
# Windows: use wmic to search command lines
result = subprocess.run(
["wmic", "process", "get", "ProcessId,CommandLine", "/FORMAT:LIST"],
capture_output=True, text=True, timeout=10
capture_output=True, text=True
)
# Parse WMIC LIST output: blocks of "CommandLine=...\nProcessId=...\n"
current_cmd = ""
@@ -125,7 +56,7 @@ def find_gateway_pids(exclude_pids: set | None = None) -> list:
if any(p in current_cmd for p in patterns):
try:
pid = int(pid_str)
if pid != os.getpid() and pid not in pids and pid not in _exclude:
if pid != os.getpid() and pid not in pids:
pids.append(pid)
except ValueError:
pass
@@ -134,8 +65,7 @@ def find_gateway_pids(exclude_pids: set | None = None) -> list:
result = subprocess.run(
["ps", "aux"],
capture_output=True,
text=True,
timeout=10,
text=True
)
for line in result.stdout.split('\n'):
# Skip grep and current process
@@ -147,7 +77,7 @@ def find_gateway_pids(exclude_pids: set | None = None) -> list:
if len(parts) > 1:
try:
pid = int(parts[1])
if pid not in pids and pid not in _exclude:
if pid not in pids:
pids.append(pid)
except ValueError:
continue
@@ -158,15 +88,9 @@ def find_gateway_pids(exclude_pids: set | None = None) -> list:
return pids
def kill_gateway_processes(force: bool = False, exclude_pids: set | None = None) -> int:
"""Kill any running gateway processes. Returns count killed.
Args:
force: Use SIGKILL instead of SIGTERM.
exclude_pids: PIDs to skip (e.g. service-managed PIDs that were just
restarted and should not be killed).
"""
pids = find_gateway_pids(exclude_pids=exclude_pids)
def kill_gateway_processes(force: bool = False) -> int:
"""Kill ALL running gateway processes (across all profiles). Returns count killed."""
pids = find_gateway_pids()
killed = 0
for pid in pids:
@@ -478,7 +402,6 @@ def get_systemd_linger_status() -> tuple[bool | None, str]:
capture_output=True,
text=True,
check=False,
timeout=10,
)
except Exception as e:
return None, str(e)
@@ -713,7 +636,7 @@ def refresh_systemd_unit_if_needed(system: bool = False) -> bool:
expected_user = _read_systemd_user_from_unit(unit_path) if system else None
unit_path.write_text(generate_systemd_unit(system=system, run_as_user=expected_user), encoding="utf-8")
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True, timeout=30)
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True)
print(f"↻ Updated gateway {_service_scope_label(system)} service definition to match the current Hermes install")
return True
@@ -764,7 +687,6 @@ def _ensure_linger_enabled() -> None:
capture_output=True,
text=True,
check=False,
timeout=30,
)
except Exception as e:
_print_linger_enable_warning(username, str(e))
@@ -795,7 +717,7 @@ def systemd_install(force: bool = False, system: bool = False, run_as_user: str
if not systemd_unit_is_current(system=system):
print(f"↻ Repairing outdated {_service_scope_label(system)} systemd service at: {unit_path}")
refresh_systemd_unit_if_needed(system=system)
subprocess.run(_systemctl_cmd(system) + ["enable", get_service_name()], check=True, timeout=30)
subprocess.run(_systemctl_cmd(system) + ["enable", get_service_name()], check=True)
print(f"{_service_scope_label(system).capitalize()} service definition updated")
return
print(f"Service already installed at: {unit_path}")
@@ -806,8 +728,8 @@ def systemd_install(force: bool = False, system: bool = False, run_as_user: str
print(f"Installing {_service_scope_label(system)} systemd service to: {unit_path}")
unit_path.write_text(generate_systemd_unit(system=system, run_as_user=run_as_user), encoding="utf-8")
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True, timeout=30)
subprocess.run(_systemctl_cmd(system) + ["enable", get_service_name()], check=True, timeout=30)
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True)
subprocess.run(_systemctl_cmd(system) + ["enable", get_service_name()], check=True)
print()
print(f"{_service_scope_label(system).capitalize()} service installed and enabled!")
@@ -833,15 +755,15 @@ def systemd_uninstall(system: bool = False):
if system:
_require_root_for_system_service("uninstall")
subprocess.run(_systemctl_cmd(system) + ["stop", get_service_name()], check=False, timeout=90)
subprocess.run(_systemctl_cmd(system) + ["disable", get_service_name()], check=False, timeout=30)
subprocess.run(_systemctl_cmd(system) + ["stop", get_service_name()], check=False)
subprocess.run(_systemctl_cmd(system) + ["disable", get_service_name()], check=False)
unit_path = get_systemd_unit_path(system=system)
if unit_path.exists():
unit_path.unlink()
print(f"✓ Removed {unit_path}")
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True, timeout=30)
subprocess.run(_systemctl_cmd(system) + ["daemon-reload"], check=True)
print(f"{_service_scope_label(system).capitalize()} service uninstalled")
@@ -850,7 +772,7 @@ def systemd_start(system: bool = False):
if system:
_require_root_for_system_service("start")
refresh_systemd_unit_if_needed(system=system)
subprocess.run(_systemctl_cmd(system) + ["start", get_service_name()], check=True, timeout=30)
subprocess.run(_systemctl_cmd(system) + ["start", get_service_name()], check=True)
print(f"{_service_scope_label(system).capitalize()} service started")
@@ -859,7 +781,7 @@ def systemd_stop(system: bool = False):
system = _select_systemd_scope(system)
if system:
_require_root_for_system_service("stop")
subprocess.run(_systemctl_cmd(system) + ["stop", get_service_name()], check=True, timeout=90)
subprocess.run(_systemctl_cmd(system) + ["stop", get_service_name()], check=True)
print(f"{_service_scope_label(system).capitalize()} service stopped")
@@ -869,7 +791,7 @@ def systemd_restart(system: bool = False):
if system:
_require_root_for_system_service("restart")
refresh_systemd_unit_if_needed(system=system)
subprocess.run(_systemctl_cmd(system) + ["restart", get_service_name()], check=True, timeout=90)
subprocess.run(_systemctl_cmd(system) + ["restart", get_service_name()], check=True)
print(f"{_service_scope_label(system).capitalize()} service restarted")
@@ -896,14 +818,12 @@ def systemd_status(deep: bool = False, system: bool = False):
subprocess.run(
_systemctl_cmd(system) + ["status", get_service_name(), "--no-pager"],
capture_output=False,
timeout=10,
)
result = subprocess.run(
_systemctl_cmd(system) + ["is-active", get_service_name()],
capture_output=True,
text=True,
timeout=10,
)
status = result.stdout.strip()
@@ -940,7 +860,7 @@ def systemd_status(deep: bool = False, system: bool = False):
if deep:
print()
print("Recent logs:")
subprocess.run(_journalctl_cmd(system) + ["-u", get_service_name(), "-n", "20", "--no-pager"], timeout=10)
subprocess.run(_journalctl_cmd(system) + ["-u", get_service_name(), "-n", "20", "--no-pager"])
# =============================================================================
@@ -953,11 +873,6 @@ def get_launchd_label() -> str:
return f"ai.hermes.gateway-{suffix}" if suffix else "ai.hermes.gateway"
def _launchd_domain() -> str:
import os
return f"gui/{os.getuid()}"
def generate_launchd_plist() -> str:
python_path = get_python_path()
working_dir = str(PROJECT_ROOT)
@@ -1048,19 +963,18 @@ def launchd_plist_is_current() -> bool:
def refresh_launchd_plist_if_needed() -> bool:
"""Rewrite the installed launchd plist when the generated definition has changed.
Unlike systemd, launchd picks up plist changes on the next ``launchctl kill``/
``launchctl kickstart`` cycle no daemon-reload is needed. We still bootout/
bootstrap to make launchd re-read the updated plist immediately.
Unlike systemd, launchd picks up plist changes on the next ``launchctl stop``/
``launchctl start`` cycle no daemon-reload is needed. We still unload/reload
to make launchd re-read the updated plist immediately.
"""
plist_path = get_launchd_plist_path()
if not plist_path.exists() or launchd_plist_is_current():
return False
plist_path.write_text(generate_launchd_plist(), encoding="utf-8")
label = get_launchd_label()
# Bootout/bootstrap so launchd picks up the new definition
subprocess.run(["launchctl", "bootout", f"{_launchd_domain()}/{label}"], check=False, timeout=90)
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=False, timeout=30)
# Unload/reload so launchd picks up the new definition
subprocess.run(["launchctl", "unload", str(plist_path)], check=False)
subprocess.run(["launchctl", "load", str(plist_path)], check=False)
print("↻ Updated gateway launchd service definition to match the current Hermes install")
return True
@@ -1082,7 +996,7 @@ def launchd_install(force: bool = False):
print(f"Installing launchd service to: {plist_path}")
plist_path.write_text(generate_launchd_plist())
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=True, timeout=30)
subprocess.run(["launchctl", "load", str(plist_path)], check=True)
print()
print("✓ Service installed and loaded!")
@@ -1094,8 +1008,7 @@ def launchd_install(force: bool = False):
def launchd_uninstall():
plist_path = get_launchd_plist_path()
label = get_launchd_label()
subprocess.run(["launchctl", "bootout", f"{_launchd_domain()}/{label}"], check=False, timeout=90)
subprocess.run(["launchctl", "unload", str(plist_path)], check=False)
if plist_path.exists():
plist_path.unlink()
@@ -1112,25 +1025,25 @@ def launchd_start():
print("↻ launchd plist missing; regenerating service definition")
plist_path.parent.mkdir(parents=True, exist_ok=True)
plist_path.write_text(generate_launchd_plist(), encoding="utf-8")
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=True, timeout=30)
subprocess.run(["launchctl", "kickstart", f"{_launchd_domain()}/{label}"], check=True, timeout=30)
subprocess.run(["launchctl", "load", str(plist_path)], check=True)
subprocess.run(["launchctl", "start", label], check=True)
print("✓ Service started")
return
refresh_launchd_plist_if_needed()
try:
subprocess.run(["launchctl", "kickstart", f"{_launchd_domain()}/{label}"], check=True, timeout=30)
subprocess.run(["launchctl", "start", label], check=True)
except subprocess.CalledProcessError as e:
if e.returncode not in (3, 113):
if e.returncode != 3:
raise
print("↻ launchd job was unloaded; reloading service definition")
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=True, timeout=30)
subprocess.run(["launchctl", "kickstart", f"{_launchd_domain()}/{label}"], check=True, timeout=30)
subprocess.run(["launchctl", "load", str(plist_path)], check=True)
subprocess.run(["launchctl", "start", label], check=True)
print("✓ Service started")
def launchd_stop():
label = get_launchd_label()
subprocess.run(["launchctl", "kill", "SIGTERM", f"{_launchd_domain()}/{label}"], check=True, timeout=30)
subprocess.run(["launchctl", "stop", label], check=True)
print("✓ Service stopped")
def _wait_for_gateway_exit(timeout: float = 10.0, force_after: float = 5.0):
@@ -1174,39 +1087,23 @@ def _wait_for_gateway_exit(timeout: float = 10.0, force_after: float = 5.0):
def launchd_restart():
label = get_launchd_label()
target = f"{_launchd_domain()}/{label}"
# Use kickstart -k so launchd performs an atomic kill+restart.
# A two-step stop/start from inside the gateway's own process tree
# would kill the shell before the start command is reached.
try:
subprocess.run(["launchctl", "kickstart", "-k", target], check=True, timeout=90)
print("✓ Service restarted")
launchd_stop()
except subprocess.CalledProcessError as e:
if e.returncode not in (3, 113):
if e.returncode != 3:
raise
# Job not loaded — bootstrap and start fresh
print("↻ launchd job was unloaded; reloading")
plist_path = get_launchd_plist_path()
subprocess.run(["launchctl", "bootstrap", _launchd_domain(), str(plist_path)], check=True, timeout=30)
subprocess.run(["launchctl", "kickstart", target], check=True, timeout=30)
print("✓ Service restarted")
print("↻ launchd job was unloaded; skipping stop")
_wait_for_gateway_exit()
launchd_start()
def launchd_status(deep: bool = False):
plist_path = get_launchd_plist_path()
label = get_launchd_label()
try:
result = subprocess.run(
["launchctl", "list", label],
capture_output=True,
text=True,
timeout=10,
)
loaded = result.returncode == 0
loaded_output = result.stdout
except subprocess.TimeoutExpired:
loaded = False
loaded_output = ""
result = subprocess.run(
["launchctl", "list", label],
capture_output=True,
text=True
)
print(f"Launchd plist: {plist_path}")
if launchd_plist_is_current():
@@ -1214,10 +1111,10 @@ def launchd_status(deep: bool = False):
else:
print("⚠ Service definition is stale relative to the current Hermes install")
print(" Run: hermes gateway start")
if loaded:
if result.returncode == 0:
print("✓ Gateway service is loaded")
print(loaded_output)
print(result.stdout)
else:
print("✗ Gateway service is not loaded")
print(" Service definition exists locally but launchd has not loaded it.")
@@ -1228,7 +1125,7 @@ def launchd_status(deep: bool = False):
if log_file.exists():
print()
print("Recent logs:")
subprocess.run(["tail", "-20", str(log_file)], timeout=10)
subprocess.run(["tail", "-20", str(log_file)])
# =============================================================================
@@ -1745,37 +1642,28 @@ def _is_service_running() -> bool:
system_unit_exists = get_systemd_unit_path(system=True).exists()
if user_unit_exists:
try:
result = subprocess.run(
_systemctl_cmd(False) + ["is-active", get_service_name()],
capture_output=True, text=True, timeout=10,
)
if result.stdout.strip() == "active":
return True
except subprocess.TimeoutExpired:
pass
result = subprocess.run(
_systemctl_cmd(False) + ["is-active", get_service_name()],
capture_output=True, text=True
)
if result.stdout.strip() == "active":
return True
if system_unit_exists:
try:
result = subprocess.run(
_systemctl_cmd(True) + ["is-active", get_service_name()],
capture_output=True, text=True, timeout=10,
)
if result.stdout.strip() == "active":
return True
except subprocess.TimeoutExpired:
pass
result = subprocess.run(
_systemctl_cmd(True) + ["is-active", get_service_name()],
capture_output=True, text=True
)
if result.stdout.strip() == "active":
return True
return False
elif is_macos() and get_launchd_plist_path().exists():
try:
result = subprocess.run(
["launchctl", "list", get_launchd_label()],
capture_output=True, text=True, timeout=10,
)
return result.returncode == 0
except subprocess.TimeoutExpired:
return False
result = subprocess.run(
["launchctl", "list", get_launchd_label()],
capture_output=True, text=True
)
return result.returncode == 0
# Check for manual processes
return len(find_gateway_pids()) > 0
@@ -1803,7 +1691,8 @@ def _setup_signal():
print_warning("signal-cli not found on PATH.")
print_info(" Signal requires signal-cli running as an HTTP daemon.")
print_info(" Install options:")
print_info(" Linux: download from https://github.com/AsamK/signal-cli/releases")
print_info(" Linux: sudo apt install signal-cli")
print_info(" or download from https://github.com/AsamK/signal-cli")
print_info(" macOS: brew install signal-cli")
print_info(" Docker: bbernhard/signal-cli-rest-api")
print()
-335
View File
@@ -1,335 +0,0 @@
"""``hermes logs`` — view and filter Hermes log files.
Supports tailing, following, session filtering, level filtering, and
relative time ranges. All log files live under ``~/.hermes/logs/``.
Usage examples::
hermes logs # last 50 lines of agent.log
hermes logs -f # follow agent.log in real time
hermes logs errors # last 50 lines of errors.log
hermes logs gateway -n 100 # last 100 lines of gateway.log
hermes logs --level WARNING # only WARNING+ lines
hermes logs --session abc123 # filter by session ID substring
hermes logs --since 1h # lines from the last hour
hermes logs --since 30m -f # follow, starting 30 min ago
"""
import re
import sys
import time
from datetime import datetime, timedelta
from pathlib import Path
from typing import Optional
from hermes_constants import get_hermes_home, display_hermes_home
# Known log files (name → filename)
LOG_FILES = {
"agent": "agent.log",
"errors": "errors.log",
"gateway": "gateway.log",
}
# Log line timestamp regex — matches "2026-04-05 22:35:00,123" or
# "2026-04-05 22:35:00" at the start of a line.
_TS_RE = re.compile(r"^(\d{4}-\d{2}-\d{2}\s+\d{2}:\d{2}:\d{2})")
# Level extraction — matches " INFO ", " WARNING ", " ERROR ", " DEBUG ", " CRITICAL "
_LEVEL_RE = re.compile(r"\s(DEBUG|INFO|WARNING|ERROR|CRITICAL)\s")
# Level ordering for >= filtering
_LEVEL_ORDER = {"DEBUG": 0, "INFO": 1, "WARNING": 2, "ERROR": 3, "CRITICAL": 4}
def _parse_since(since_str: str) -> Optional[datetime]:
"""Parse a relative time string like '1h', '30m', '2d' into a datetime cutoff.
Returns None if the string can't be parsed.
"""
since_str = since_str.strip().lower()
match = re.match(r"^(\d+)\s*([smhd])$", since_str)
if not match:
return None
value = int(match.group(1))
unit = match.group(2)
delta = {
"s": timedelta(seconds=value),
"m": timedelta(minutes=value),
"h": timedelta(hours=value),
"d": timedelta(days=value),
}[unit]
return datetime.now() - delta
def _parse_line_timestamp(line: str) -> Optional[datetime]:
"""Extract timestamp from a log line. Returns None if not parseable."""
m = _TS_RE.match(line)
if not m:
return None
try:
return datetime.strptime(m.group(1), "%Y-%m-%d %H:%M:%S")
except ValueError:
return None
def _extract_level(line: str) -> Optional[str]:
"""Extract the log level from a line."""
m = _LEVEL_RE.search(line)
return m.group(1) if m else None
def _matches_filters(
line: str,
*,
min_level: Optional[str] = None,
session_filter: Optional[str] = None,
since: Optional[datetime] = None,
) -> bool:
"""Check if a log line passes all active filters."""
if since is not None:
ts = _parse_line_timestamp(line)
if ts is not None and ts < since:
return False
if min_level is not None:
level = _extract_level(line)
if level is not None:
if _LEVEL_ORDER.get(level, 0) < _LEVEL_ORDER.get(min_level, 0):
return False
if session_filter is not None:
if session_filter not in line:
return False
return True
def tail_log(
log_name: str = "agent",
*,
num_lines: int = 50,
follow: bool = False,
level: Optional[str] = None,
session: Optional[str] = None,
since: Optional[str] = None,
) -> None:
"""Read and display log lines, optionally following in real time.
Parameters
----------
log_name
Which log to read: ``"agent"``, ``"errors"``, ``"gateway"``.
num_lines
Number of recent lines to show (before follow starts).
follow
If True, keep watching for new lines (Ctrl+C to stop).
level
Minimum log level to show (e.g. ``"WARNING"``).
session
Session ID substring to filter on.
since
Relative time string (e.g. ``"1h"``, ``"30m"``).
"""
filename = LOG_FILES.get(log_name)
if filename is None:
print(f"Unknown log: {log_name!r}. Available: {', '.join(sorted(LOG_FILES))}")
sys.exit(1)
log_path = get_hermes_home() / "logs" / filename
if not log_path.exists():
print(f"Log file not found: {log_path}")
print(f"(Logs are created when Hermes runs — try 'hermes chat' first)")
sys.exit(1)
# Parse --since into a datetime cutoff
since_dt = None
if since:
since_dt = _parse_since(since)
if since_dt is None:
print(f"Invalid --since value: {since!r}. Use format like '1h', '30m', '2d'.")
sys.exit(1)
min_level = level.upper() if level else None
if min_level and min_level not in _LEVEL_ORDER:
print(f"Invalid --level: {level!r}. Use DEBUG, INFO, WARNING, ERROR, or CRITICAL.")
sys.exit(1)
has_filters = min_level is not None or session is not None or since_dt is not None
# Read and display the tail
try:
lines = _read_tail(log_path, num_lines, has_filters=has_filters,
min_level=min_level, session_filter=session,
since=since_dt)
except PermissionError:
print(f"Permission denied: {log_path}")
sys.exit(1)
# Print header
filter_parts = []
if min_level:
filter_parts.append(f"level>={min_level}")
if session:
filter_parts.append(f"session={session}")
if since:
filter_parts.append(f"since={since}")
filter_desc = f" [{', '.join(filter_parts)}]" if filter_parts else ""
if follow:
print(f"--- {display_hermes_home()}/logs/{filename}{filter_desc} (Ctrl+C to stop) ---")
else:
print(f"--- {display_hermes_home()}/logs/{filename}{filter_desc} (last {num_lines}) ---")
for line in lines:
print(line, end="")
if not follow:
return
# Follow mode — poll for new content
try:
_follow_log(log_path, min_level=min_level, session_filter=session,
since=since_dt)
except KeyboardInterrupt:
print("\n--- stopped ---")
def _read_tail(
path: Path,
num_lines: int,
*,
has_filters: bool = False,
min_level: Optional[str] = None,
session_filter: Optional[str] = None,
since: Optional[datetime] = None,
) -> list:
"""Read the last *num_lines* matching lines from a log file.
When filters are active, we read more raw lines to find enough matches.
"""
if has_filters:
# Read more lines to ensure we get enough after filtering.
# For large files, read last 10K lines and filter down.
raw_lines = _read_last_n_lines(path, max(num_lines * 20, 2000))
filtered = [
l for l in raw_lines
if _matches_filters(l, min_level=min_level,
session_filter=session_filter, since=since)
]
return filtered[-num_lines:]
else:
return _read_last_n_lines(path, num_lines)
def _read_last_n_lines(path: Path, n: int) -> list:
"""Efficiently read the last N lines from a file.
For files under 1MB, reads the whole file (fast, simple).
For larger files, reads chunks from the end.
"""
try:
size = path.stat().st_size
if size == 0:
return []
# For files up to 1MB, just read the whole thing — simple and correct.
if size <= 1_048_576:
with open(path, "r", encoding="utf-8", errors="replace") as f:
all_lines = f.readlines()
return all_lines[-n:]
# For large files, read chunks from the end.
with open(path, "rb") as f:
chunk_size = 8192
lines = []
pos = size
while pos > 0 and len(lines) <= n + 1:
read_size = min(chunk_size, pos)
pos -= read_size
f.seek(pos)
chunk = f.read(read_size)
chunk_lines = chunk.split(b"\n")
if lines:
# Merge the last partial line of the new chunk with the
# first partial line of what we already have.
lines[0] = chunk_lines[-1] + lines[0]
lines = chunk_lines[:-1] + lines
else:
lines = chunk_lines
chunk_size = min(chunk_size * 2, 65536)
# Decode and return last N non-empty lines.
decoded = []
for raw in lines:
if not raw.strip():
continue
try:
decoded.append(raw.decode("utf-8", errors="replace") + "\n")
except Exception:
decoded.append(raw.decode("latin-1") + "\n")
return decoded[-n:]
except Exception:
# Fallback: read entire file
with open(path, "r", encoding="utf-8", errors="replace") as f:
all_lines = f.readlines()
return all_lines[-n:]
def _follow_log(
path: Path,
*,
min_level: Optional[str] = None,
session_filter: Optional[str] = None,
since: Optional[datetime] = None,
) -> None:
"""Poll a log file for new content and print matching lines."""
with open(path, "r", encoding="utf-8", errors="replace") as f:
# Seek to end
f.seek(0, 2)
while True:
line = f.readline()
if line:
if _matches_filters(line, min_level=min_level,
session_filter=session_filter, since=since):
print(line, end="")
sys.stdout.flush()
else:
time.sleep(0.3)
def list_logs() -> None:
"""Print available log files with sizes."""
log_dir = get_hermes_home() / "logs"
if not log_dir.exists():
print(f"No logs directory at {display_hermes_home()}/logs/")
return
print(f"Log files in {display_hermes_home()}/logs/:\n")
found = False
for entry in sorted(log_dir.iterdir()):
if entry.is_file() and entry.suffix == ".log":
size = entry.stat().st_size
mtime = datetime.fromtimestamp(entry.stat().st_mtime)
if size < 1024:
size_str = f"{size}B"
elif size < 1024 * 1024:
size_str = f"{size / 1024:.1f}KB"
else:
size_str = f"{size / (1024 * 1024):.1f}MB"
age = datetime.now() - mtime
if age.total_seconds() < 60:
age_str = "just now"
elif age.total_seconds() < 3600:
age_str = f"{int(age.total_seconds() / 60)}m ago"
elif age.total_seconds() < 86400:
age_str = f"{int(age.total_seconds() / 3600)}h ago"
else:
age_str = mtime.strftime("%Y-%m-%d")
print(f" {entry.name:<25} {size_str:>8} {age_str}")
found = True
if not found:
print(" (no log files yet — run 'hermes chat' to generate logs)")
+208 -381
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File diff suppressed because it is too large Load Diff
+13 -85
View File
@@ -12,8 +12,6 @@ import os
import sys
from pathlib import Path
from hermes_constants import get_hermes_home
# ---------------------------------------------------------------------------
# Curses-based interactive picker (same pattern as hermes tools)
@@ -153,7 +151,6 @@ def _install_dependencies(provider_name: str) -> None:
"honcho-ai": "honcho",
"mem0ai": "mem0",
"hindsight-client": "hindsight_client",
"hindsight-all": "hindsight",
}
# Check which packages are missing
@@ -169,18 +166,9 @@ def _install_dependencies(provider_name: str) -> None:
return
print(f"\n Installing dependencies: {', '.join(missing)}")
import shutil
uv_path = shutil.which("uv")
if not uv_path:
print(f" ⚠ uv not found — cannot install dependencies")
print(f" Install uv: curl -LsSf https://astral.sh/uv/install.sh | sh")
print(f" Then re-run: hermes memory setup")
return
try:
subprocess.run(
[uv_path, "pip", "install", "--python", sys.executable, "--quiet"] + missing,
[sys.executable, "-m", "pip", "install", "--quiet"] + missing,
check=True, timeout=120,
capture_output=True,
)
@@ -190,10 +178,10 @@ def _install_dependencies(provider_name: str) -> None:
stderr = (e.stderr or b"").decode()[:200]
if stderr:
print(f" {stderr}")
print(f" Run manually: uv pip install --python {sys.executable} {' '.join(missing)}")
print(f" Run manually: pip install {' '.join(missing)}")
except Exception as e:
print(f" ⚠ Install failed: {e}")
print(f" Run manually: uv pip install --python {sys.executable} {' '.join(missing)}")
print(f" Run manually: pip install {' '.join(missing)}")
# Also show external dependencies (non-pip) if any
ext_deps = meta.get("external_dependencies", [])
@@ -231,19 +219,15 @@ def _get_available_providers() -> list:
continue
except Exception:
continue
# Override description with setup hint
schema = provider.get_config_schema() if hasattr(provider, "get_config_schema") else []
has_secrets = any(f.get("secret") for f in schema)
has_non_secrets = any(not f.get("secret") for f in schema)
if has_secrets and has_non_secrets:
setup_hint = "API key / local"
elif has_secrets:
if has_secrets:
setup_hint = "requires API key"
elif not schema:
setup_hint = "no setup needed"
else:
setup_hint = "local"
results.append((name, setup_hint, provider))
return results
@@ -252,42 +236,6 @@ def _get_available_providers() -> list:
# Setup wizard
# ---------------------------------------------------------------------------
def cmd_setup_provider(provider_name: str) -> None:
"""Run memory setup for a specific provider, skipping the picker."""
from hermes_cli.config import load_config, save_config
providers = _get_available_providers()
match = None
for name, desc, provider in providers:
if name == provider_name:
match = (name, desc, provider)
break
if not match:
print(f"\n Memory provider '{provider_name}' not found.")
print(" Run 'hermes memory setup' to see available providers.\n")
return
name, _, provider = match
_install_dependencies(name)
config = load_config()
if not isinstance(config.get("memory"), dict):
config["memory"] = {}
if hasattr(provider, "post_setup"):
hermes_home = str(get_hermes_home())
provider.post_setup(hermes_home, config)
return
# Fallback: generic schema-based setup (same as cmd_setup)
config["memory"]["provider"] = name
save_config(config)
print(f"\n Memory provider: {name}")
print(f" Activation saved to config.yaml\n")
def cmd_setup(args) -> None:
"""Interactive memory provider setup wizard."""
from hermes_cli.config import load_config, save_config
@@ -325,20 +273,14 @@ def cmd_setup(args) -> None:
# Install pip dependencies if declared in plugin.yaml
_install_dependencies(name)
# If the provider has a post_setup hook, delegate entirely to it.
# The hook handles its own config, connection test, and activation.
if hasattr(provider, "post_setup"):
hermes_home = str(get_hermes_home())
provider.post_setup(hermes_home, config)
return
schema = provider.get_config_schema() if hasattr(provider, "get_config_schema") else []
# Provider config section
provider_config = config["memory"].get(name, {})
if not isinstance(provider_config, dict):
provider_config = {}
env_path = get_hermes_home() / ".env"
env_path = Path(os.environ.get("HERMES_HOME", os.path.expanduser("~/.hermes"))) / ".env"
env_writes = {}
if schema:
@@ -348,25 +290,11 @@ def cmd_setup(args) -> None:
key = field["key"]
desc = field.get("description", key)
default = field.get("default")
# Dynamic default: look up default from another field's value
default_from = field.get("default_from")
if default_from and isinstance(default_from, dict):
ref_field = default_from.get("field", "")
ref_map = default_from.get("map", {})
ref_value = provider_config.get(ref_field, "")
if ref_value and ref_value in ref_map:
default = ref_map[ref_value]
is_secret = field.get("secret", False)
choices = field.get("choices")
env_var = field.get("env_var")
url = field.get("url")
# Skip fields whose "when" condition doesn't match
when = field.get("when")
if when and isinstance(when, dict):
if not all(provider_config.get(k) == v for k, v in when.items()):
continue
if choices and not is_secret:
# Use curses picker for choice fields
choice_items = [(c, "") for c in choices]
@@ -402,23 +330,23 @@ def cmd_setup(args) -> None:
save_config(config)
# Write non-secret config to provider's native location
hermes_home = str(get_hermes_home())
hermes_home = str(Path(os.environ.get("HERMES_HOME", os.path.expanduser("~/.hermes"))))
if provider_config and hasattr(provider, "save_config"):
try:
provider.save_config(provider_config, hermes_home)
except Exception as e:
print(f" Failed to write provider config: {e}")
print(f" Failed to write provider config: {e}")
# Write secrets to .env
if env_writes:
_write_env_vars(env_path, env_writes)
print(f"\n Memory provider: {name}")
print(f" Activation saved to config.yaml")
print(f"\n Memory provider: {name}")
print(f" Activation saved to config.yaml")
if provider_config:
print(f" Provider config saved")
print(f" Provider config saved")
if env_writes:
print(f" API keys saved to .env")
print(f" API keys saved to .env")
print(f"\n Start a new session to activate.\n")
-361
View File
@@ -1,361 +0,0 @@
"""Per-provider model name normalization.
Different LLM providers expect model identifiers in different formats:
- **Aggregators** (OpenRouter, Nous, AI Gateway, Kilo Code) need
``vendor/model`` slugs like ``anthropic/claude-sonnet-4.6``.
- **Anthropic** native API expects bare names with dots replaced by
hyphens: ``claude-sonnet-4-6``.
- **Copilot** expects bare names *with* dots preserved:
``claude-sonnet-4.6``.
- **OpenCode Zen** follows the same dot-to-hyphen convention as
Anthropic: ``claude-sonnet-4-6``.
- **OpenCode Go** preserves dots in model names: ``minimax-m2.7``.
- **DeepSeek** only accepts two model identifiers:
``deepseek-chat`` and ``deepseek-reasoner``.
- **Custom** and remaining providers pass the name through as-is.
This module centralises that translation so callers can simply write::
api_model = normalize_model_for_provider(user_input, provider)
Inspired by Clawdbot's ``normalizeAnthropicModelId`` pattern.
"""
from __future__ import annotations
from typing import Optional
# ---------------------------------------------------------------------------
# Vendor prefix mapping
# ---------------------------------------------------------------------------
# Maps the first hyphen-delimited token of a bare model name to the vendor
# slug used by aggregator APIs (OpenRouter, Nous, etc.).
#
# Example: "claude-sonnet-4.6" -> first token "claude" -> vendor "anthropic"
# -> aggregator slug: "anthropic/claude-sonnet-4.6"
_VENDOR_PREFIXES: dict[str, str] = {
"claude": "anthropic",
"gpt": "openai",
"o1": "openai",
"o3": "openai",
"o4": "openai",
"gemini": "google",
"gemma": "google",
"deepseek": "deepseek",
"glm": "z-ai",
"kimi": "moonshotai",
"minimax": "minimax",
"grok": "x-ai",
"qwen": "qwen",
"mimo": "xiaomi",
"nemotron": "nvidia",
"llama": "meta-llama",
"step": "stepfun",
"trinity": "arcee-ai",
}
# Providers whose APIs consume vendor/model slugs.
_AGGREGATOR_PROVIDERS: frozenset[str] = frozenset({
"openrouter",
"nous",
"ai-gateway",
"kilocode",
})
# Providers that want bare names with dots replaced by hyphens.
_DOT_TO_HYPHEN_PROVIDERS: frozenset[str] = frozenset({
"anthropic",
"opencode-zen",
})
# Providers that want bare names with dots preserved.
_STRIP_VENDOR_ONLY_PROVIDERS: frozenset[str] = frozenset({
"copilot",
"copilot-acp",
})
# Providers whose own naming is authoritative -- pass through unchanged.
_PASSTHROUGH_PROVIDERS: frozenset[str] = frozenset({
"gemini",
"zai",
"kimi-coding",
"minimax",
"minimax-cn",
"alibaba",
"huggingface",
"openai-codex",
"custom",
})
# ---------------------------------------------------------------------------
# DeepSeek special handling
# ---------------------------------------------------------------------------
# DeepSeek's API only recognises exactly two model identifiers. We map
# common aliases and patterns to the canonical names.
_DEEPSEEK_REASONER_KEYWORDS: frozenset[str] = frozenset({
"reasoner",
"r1",
"think",
"reasoning",
"cot",
})
_DEEPSEEK_CANONICAL_MODELS: frozenset[str] = frozenset({
"deepseek-chat",
"deepseek-reasoner",
})
def _normalize_for_deepseek(model_name: str) -> str:
"""Map any model input to one of DeepSeek's two accepted identifiers.
Rules:
- Already ``deepseek-chat`` or ``deepseek-reasoner`` -> pass through.
- Contains any reasoner keyword (r1, think, reasoning, cot, reasoner)
-> ``deepseek-reasoner``.
- Everything else -> ``deepseek-chat``.
Args:
model_name: The bare model name (vendor prefix already stripped).
Returns:
One of ``"deepseek-chat"`` or ``"deepseek-reasoner"``.
"""
bare = _strip_vendor_prefix(model_name).lower()
if bare in _DEEPSEEK_CANONICAL_MODELS:
return bare
# Check for reasoner-like keywords anywhere in the name
for keyword in _DEEPSEEK_REASONER_KEYWORDS:
if keyword in bare:
return "deepseek-reasoner"
return "deepseek-chat"
# ---------------------------------------------------------------------------
# Helper utilities
# ---------------------------------------------------------------------------
def _strip_vendor_prefix(model_name: str) -> str:
"""Remove a ``vendor/`` prefix if present.
Examples::
>>> _strip_vendor_prefix("anthropic/claude-sonnet-4.6")
'claude-sonnet-4.6'
>>> _strip_vendor_prefix("claude-sonnet-4.6")
'claude-sonnet-4.6'
>>> _strip_vendor_prefix("meta-llama/llama-4-scout")
'llama-4-scout'
"""
if "/" in model_name:
return model_name.split("/", 1)[1]
return model_name
def _dots_to_hyphens(model_name: str) -> str:
"""Replace dots with hyphens in a model name.
Anthropic's native API uses hyphens where marketing names use dots:
``claude-sonnet-4.6`` -> ``claude-sonnet-4-6``.
"""
return model_name.replace(".", "-")
def detect_vendor(model_name: str) -> Optional[str]:
"""Detect the vendor slug from a bare model name.
Uses the first hyphen-delimited token of the model name to look up
the corresponding vendor in ``_VENDOR_PREFIXES``. Also handles
case-insensitive matching and special patterns.
Args:
model_name: A model name, optionally already including a
``vendor/`` prefix. If a prefix is present it is used
directly.
Returns:
The vendor slug (e.g. ``"anthropic"``, ``"openai"``) or ``None``
if no vendor can be confidently detected.
Examples::
>>> detect_vendor("claude-sonnet-4.6")
'anthropic'
>>> detect_vendor("gpt-5.4-mini")
'openai'
>>> detect_vendor("anthropic/claude-sonnet-4.6")
'anthropic'
>>> detect_vendor("my-custom-model")
"""
name = model_name.strip()
if not name:
return None
# If there's already a vendor/ prefix, extract it
if "/" in name:
return name.split("/", 1)[0].lower() or None
name_lower = name.lower()
# Try first hyphen-delimited token (exact match)
first_token = name_lower.split("-")[0]
if first_token in _VENDOR_PREFIXES:
return _VENDOR_PREFIXES[first_token]
# Handle patterns where the first token includes version digits,
# e.g. "qwen3.5-plus" -> first token "qwen3.5", but prefix is "qwen"
for prefix, vendor in _VENDOR_PREFIXES.items():
if name_lower.startswith(prefix):
return vendor
return None
def _prepend_vendor(model_name: str) -> str:
"""Prepend the detected ``vendor/`` prefix if missing.
Used for aggregator providers that require ``vendor/model`` format.
If the name already contains a ``/``, it is returned as-is.
If no vendor can be detected, the name is returned unchanged
(aggregators may still accept it or return an error).
Examples::
>>> _prepend_vendor("claude-sonnet-4.6")
'anthropic/claude-sonnet-4.6'
>>> _prepend_vendor("anthropic/claude-sonnet-4.6")
'anthropic/claude-sonnet-4.6'
>>> _prepend_vendor("my-custom-thing")
'my-custom-thing'
"""
if "/" in model_name:
return model_name
vendor = detect_vendor(model_name)
if vendor:
return f"{vendor}/{model_name}"
return model_name
# ---------------------------------------------------------------------------
# Main normalisation entry point
# ---------------------------------------------------------------------------
def normalize_model_for_provider(model_input: str, target_provider: str) -> str:
"""Translate a model name into the format the target provider's API expects.
This is the primary entry point for model name normalisation. It
accepts any user-facing model identifier and transforms it for the
specific provider that will receive the API call.
Args:
model_input: The model name as provided by the user or config.
Can be bare (``"claude-sonnet-4.6"``), vendor-prefixed
(``"anthropic/claude-sonnet-4.6"``), or already in native
format (``"claude-sonnet-4-6"``).
target_provider: The canonical Hermes provider id, e.g.
``"openrouter"``, ``"anthropic"``, ``"copilot"``,
``"deepseek"``, ``"custom"``. Should already be normalised
via ``hermes_cli.models.normalize_provider()``.
Returns:
The model identifier string that the target provider's API
expects.
Raises:
No exceptions -- always returns a best-effort string.
Examples::
>>> normalize_model_for_provider("claude-sonnet-4.6", "openrouter")
'anthropic/claude-sonnet-4.6'
>>> normalize_model_for_provider("anthropic/claude-sonnet-4.6", "anthropic")
'claude-sonnet-4-6'
>>> normalize_model_for_provider("anthropic/claude-sonnet-4.6", "copilot")
'claude-sonnet-4.6'
>>> normalize_model_for_provider("openai/gpt-5.4", "copilot")
'gpt-5.4'
>>> normalize_model_for_provider("claude-sonnet-4.6", "opencode-zen")
'claude-sonnet-4-6'
>>> normalize_model_for_provider("deepseek-v3", "deepseek")
'deepseek-chat'
>>> normalize_model_for_provider("deepseek-r1", "deepseek")
'deepseek-reasoner'
>>> normalize_model_for_provider("my-model", "custom")
'my-model'
>>> normalize_model_for_provider("claude-sonnet-4.6", "zai")
'claude-sonnet-4.6'
"""
name = (model_input or "").strip()
if not name:
return name
provider = (target_provider or "").strip().lower()
# --- Aggregators: need vendor/model format ---
if provider in _AGGREGATOR_PROVIDERS:
return _prepend_vendor(name)
# --- Anthropic / OpenCode: strip vendor, dots -> hyphens ---
if provider in _DOT_TO_HYPHEN_PROVIDERS:
bare = _strip_vendor_prefix(name)
return _dots_to_hyphens(bare)
# --- Copilot: strip vendor, keep dots ---
if provider in _STRIP_VENDOR_ONLY_PROVIDERS:
return _strip_vendor_prefix(name)
# --- DeepSeek: map to one of two canonical names ---
if provider == "deepseek":
return _normalize_for_deepseek(name)
# --- Custom & all others: pass through as-is ---
return name
# ---------------------------------------------------------------------------
# Batch / convenience helpers
# ---------------------------------------------------------------------------
def model_display_name(model_id: str) -> str:
"""Return a short, human-readable display name for a model id.
Strips the vendor prefix (if any) for a cleaner display in menus
and status bars, while preserving dots for readability.
Examples::
>>> model_display_name("anthropic/claude-sonnet-4.6")
'claude-sonnet-4.6'
>>> model_display_name("claude-sonnet-4-6")
'claude-sonnet-4-6'
"""
return _strip_vendor_prefix((model_id or "").strip())
def is_aggregator_provider(provider: str) -> bool:
"""Check if a provider is an aggregator that needs vendor/model format."""
return (provider or "").strip().lower() in _AGGREGATOR_PROVIDERS
def vendor_for_model(model_name: str) -> str:
"""Return the vendor slug for a model, or ``""`` if unknown.
Convenience wrapper around :func:`detect_vendor` that never returns
``None``.
"""
return detect_vendor(model_name) or ""
+69 -746
View File
@@ -3,198 +3,18 @@
Both the CLI (cli.py) and gateway (gateway/run.py) /model handlers
share the same core pipeline:
parse flags -> alias resolution -> provider resolution ->
credential resolution -> normalize model name ->
metadata lookup -> build result
parse_model_input is_custom detection auto-detect provider
credential resolution validate model return result
This module ties together the foundation layers:
- ``agent.models_dev`` -- models.dev catalog, ModelInfo, ProviderInfo
- ``hermes_cli.providers`` -- canonical provider identity + overlays
- ``hermes_cli.model_normalize`` -- per-provider name formatting
Provider switching uses the ``--provider`` flag exclusively.
No colon-based ``provider:model`` syntax colons are reserved for
OpenRouter variant suffixes (``:free``, ``:extended``, ``:fast``).
This module extracts that shared pipeline into pure functions that
return result objects. The callers handle all platform-specific
concerns: state mutation, config persistence, output formatting.
"""
from __future__ import annotations
import logging
from dataclasses import dataclass
from typing import List, NamedTuple, Optional
from hermes_cli.providers import (
determine_api_mode,
get_label,
is_aggregator,
resolve_provider_full,
)
from hermes_cli.model_normalize import (
normalize_model_for_provider,
)
from agent.models_dev import (
ModelCapabilities,
ModelInfo,
get_model_capabilities,
get_model_info,
list_provider_models,
search_models_dev,
)
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Non-agentic model warning
# ---------------------------------------------------------------------------
_HERMES_MODEL_WARNING = (
"Nous Research Hermes 3 & 4 models are NOT agentic and are not designed "
"for use with Hermes Agent. They lack the tool-calling capabilities "
"required for agent workflows. Consider using an agentic model instead "
"(Claude, GPT, Gemini, DeepSeek, etc.)."
)
def _check_hermes_model_warning(model_name: str) -> str:
"""Return a warning string if *model_name* looks like a Hermes LLM model."""
if "hermes" in model_name.lower():
return _HERMES_MODEL_WARNING
return ""
# ---------------------------------------------------------------------------
# Model aliases -- short names -> (vendor, family) with NO version numbers.
# Resolved dynamically against the live models.dev catalog.
# ---------------------------------------------------------------------------
class ModelIdentity(NamedTuple):
"""Vendor slug and family prefix used for catalog resolution."""
vendor: str
family: str
MODEL_ALIASES: dict[str, ModelIdentity] = {
# Anthropic
"sonnet": ModelIdentity("anthropic", "claude-sonnet"),
"opus": ModelIdentity("anthropic", "claude-opus"),
"haiku": ModelIdentity("anthropic", "claude-haiku"),
"claude": ModelIdentity("anthropic", "claude"),
# OpenAI
"gpt5": ModelIdentity("openai", "gpt-5"),
"gpt": ModelIdentity("openai", "gpt"),
"codex": ModelIdentity("openai", "codex"),
"o3": ModelIdentity("openai", "o3"),
"o4": ModelIdentity("openai", "o4"),
# Google
"gemini": ModelIdentity("google", "gemini"),
# DeepSeek
"deepseek": ModelIdentity("deepseek", "deepseek-chat"),
# X.AI
"grok": ModelIdentity("x-ai", "grok"),
# Meta
"llama": ModelIdentity("meta-llama", "llama"),
# Qwen / Alibaba
"qwen": ModelIdentity("qwen", "qwen"),
# MiniMax
"minimax": ModelIdentity("minimax", "minimax"),
# Nvidia
"nemotron": ModelIdentity("nvidia", "nemotron"),
# Moonshot / Kimi
"kimi": ModelIdentity("moonshotai", "kimi"),
# Z.AI / GLM
"glm": ModelIdentity("z-ai", "glm"),
# StepFun
"step": ModelIdentity("stepfun", "step"),
# Xiaomi
"mimo": ModelIdentity("xiaomi", "mimo"),
# Arcee
"trinity": ModelIdentity("arcee-ai", "trinity"),
}
# ---------------------------------------------------------------------------
# Direct aliases — exact model+provider+base_url for endpoints that aren't
# in the models.dev catalog (e.g. Ollama Cloud, local servers).
# Checked BEFORE catalog resolution. Format:
# alias -> (model_id, provider, base_url)
# These can also be loaded from config.yaml ``model_aliases:`` section.
# ---------------------------------------------------------------------------
class DirectAlias(NamedTuple):
"""Exact model mapping that bypasses catalog resolution."""
model: str
provider: str
base_url: str
# Built-in direct aliases (can be extended via config.yaml model_aliases:)
_BUILTIN_DIRECT_ALIASES: dict[str, DirectAlias] = {}
# Merged dict (builtins + user config); populated by _load_direct_aliases()
DIRECT_ALIASES: dict[str, DirectAlias] = {}
def _load_direct_aliases() -> dict[str, DirectAlias]:
"""Load direct aliases from config.yaml ``model_aliases:`` section.
Config format::
model_aliases:
qwen:
model: "qwen3.5:397b"
provider: custom
base_url: "https://ollama.com/v1"
minimax:
model: "minimax-m2.7"
provider: custom
base_url: "https://ollama.com/v1"
"""
merged = dict(_BUILTIN_DIRECT_ALIASES)
try:
from hermes_cli.config import load_config
cfg = load_config()
user_aliases = cfg.get("model_aliases")
if isinstance(user_aliases, dict):
for name, entry in user_aliases.items():
if not isinstance(entry, dict):
continue
model = entry.get("model", "")
provider = entry.get("provider", "custom")
base_url = entry.get("base_url", "")
if model:
merged[name.strip().lower()] = DirectAlias(
model=model, provider=provider, base_url=base_url,
)
except Exception:
pass
return merged
def _ensure_direct_aliases() -> None:
"""Lazy-load direct aliases on first use."""
global DIRECT_ALIASES
if not DIRECT_ALIASES:
DIRECT_ALIASES = _load_direct_aliases()
# ---------------------------------------------------------------------------
# Result dataclasses
# ---------------------------------------------------------------------------
@dataclass
class ModelSwitchResult:
@@ -207,13 +27,11 @@ class ModelSwitchResult:
api_key: str = ""
base_url: str = ""
api_mode: str = ""
persist: bool = False
error_message: str = ""
warning_message: str = ""
is_custom_target: bool = False
provider_label: str = ""
resolved_via_alias: str = ""
capabilities: Optional[ModelCapabilities] = None
model_info: Optional[ModelInfo] = None
is_global: bool = False
@dataclass
@@ -227,390 +45,91 @@ class CustomAutoResult:
error_message: str = ""
# ---------------------------------------------------------------------------
# Flag parsing
# ---------------------------------------------------------------------------
def parse_model_flags(raw_args: str) -> tuple[str, str, bool]:
"""Parse --provider and --global flags from /model command args.
Returns (model_input, explicit_provider, is_global).
Examples::
"sonnet" -> ("sonnet", "", False)
"sonnet --global" -> ("sonnet", "", True)
"sonnet --provider anthropic" -> ("sonnet", "anthropic", False)
"--provider my-ollama" -> ("", "my-ollama", False)
"sonnet --provider anthropic --global" -> ("sonnet", "anthropic", True)
"""
is_global = False
explicit_provider = ""
# Extract --global
if "--global" in raw_args:
is_global = True
raw_args = raw_args.replace("--global", "").strip()
# Extract --provider <name>
parts = raw_args.split()
i = 0
filtered: list[str] = []
while i < len(parts):
if parts[i] == "--provider" and i + 1 < len(parts):
explicit_provider = parts[i + 1]
i += 2
else:
filtered.append(parts[i])
i += 1
model_input = " ".join(filtered).strip()
return (model_input, explicit_provider, is_global)
# ---------------------------------------------------------------------------
# Alias resolution
# ---------------------------------------------------------------------------
def resolve_alias(
raw_input: str,
current_provider: str,
) -> Optional[tuple[str, str, str]]:
"""Resolve a short alias against the current provider's catalog.
Looks up *raw_input* in :data:`MODEL_ALIASES`, then searches the
current provider's models.dev catalog for the first model whose ID
starts with ``vendor/family`` (or just ``family`` for non-aggregator
providers).
Returns:
``(provider, resolved_model_id, alias_name)`` if a match is
found on the current provider, or ``None`` if the alias doesn't
exist or no matching model is available.
"""
key = raw_input.strip().lower()
# Check direct aliases first (exact model+provider+base_url mappings)
_ensure_direct_aliases()
direct = DIRECT_ALIASES.get(key)
if direct is not None:
return (direct.provider, direct.model, key)
# Reverse lookup: match by model ID so full names (e.g. "kimi-k2.5",
# "glm-4.7") route through direct aliases instead of falling through
# to the catalog/OpenRouter.
for alias_name, da in DIRECT_ALIASES.items():
if da.model.lower() == key:
return (da.provider, da.model, alias_name)
identity = MODEL_ALIASES.get(key)
if identity is None:
return None
vendor, family = identity
# Search the provider's catalog from models.dev
catalog = list_provider_models(current_provider)
if not catalog:
return None
# For aggregators, models are vendor/model-name format
aggregator = is_aggregator(current_provider)
for model_id in catalog:
mid_lower = model_id.lower()
if aggregator:
# Match vendor/family prefix -- e.g. "anthropic/claude-sonnet"
prefix = f"{vendor}/{family}".lower()
if mid_lower.startswith(prefix):
return (current_provider, model_id, key)
else:
# Non-aggregator: bare names -- e.g. "claude-sonnet-4-6"
family_lower = family.lower()
if mid_lower.startswith(family_lower):
return (current_provider, model_id, key)
return None
def get_authenticated_provider_slugs(
current_provider: str = "",
user_providers: dict = None,
) -> list[str]:
"""Return slugs of providers that have credentials.
Uses ``list_authenticated_providers()`` which is backed by the models.dev
in-memory cache (1 hr TTL) no extra network cost.
"""
try:
providers = list_authenticated_providers(
current_provider=current_provider,
user_providers=user_providers,
max_models=0,
)
return [p["slug"] for p in providers]
except Exception:
return []
def _resolve_alias_fallback(
raw_input: str,
authenticated_providers: list[str] = (),
) -> Optional[tuple[str, str, str]]:
"""Try to resolve an alias on the user's authenticated providers.
Falls back to ``("openrouter", "nous")`` only when no authenticated
providers are supplied (backwards compat for non-interactive callers).
"""
providers = authenticated_providers or ("openrouter", "nous")
for provider in providers:
result = resolve_alias(raw_input, provider)
if result is not None:
return result
return None
# ---------------------------------------------------------------------------
# Core model-switching pipeline
# ---------------------------------------------------------------------------
def switch_model(
raw_input: str,
current_provider: str,
current_model: str,
current_base_url: str = "",
current_api_key: str = "",
is_global: bool = False,
explicit_provider: str = "",
user_providers: dict = None,
) -> ModelSwitchResult:
"""Core model-switching pipeline shared between CLI and gateway.
Resolution chain:
If --provider given:
a. Resolve provider via resolve_provider_full()
b. Resolve credentials
c. If model given, resolve alias on target provider or use as-is
d. If no model, auto-detect from endpoint
If no --provider:
a. Try alias resolution on current provider
b. If alias exists but not on current provider -> fallback
c. On aggregator, try vendor/model slug conversion
d. Aggregator catalog search
e. detect_provider_for_model() as last resort
f. Resolve credentials
g. Normalize model name for target provider
Finally:
h. Get full model metadata from models.dev
i. Build result
Handles parsing, provider detection, credential resolution, and
model validation. Does NOT handle config persistence, state
mutation, or output formatting those are caller responsibilities.
Args:
raw_input: The model name (after flag parsing).
raw_input: The user's model input (e.g. "claude-sonnet-4",
"zai:glm-5", "custom:local:qwen").
current_provider: The currently active provider.
current_model: The currently active model name.
current_base_url: The currently active base URL.
current_base_url: The currently active base URL (used for
is_custom detection).
current_api_key: The currently active API key.
is_global: Whether to persist the switch.
explicit_provider: From --provider flag (empty = no explicit provider).
user_providers: The ``providers:`` dict from config.yaml (for user endpoints).
Returns:
ModelSwitchResult with all information the caller needs.
ModelSwitchResult with all information the caller needs to
apply the switch and format output.
"""
from hermes_cli.models import (
parse_model_input,
detect_provider_for_model,
validate_requested_model,
_PROVIDER_LABELS,
opencode_model_api_mode,
)
from hermes_cli.runtime_provider import resolve_runtime_provider
resolved_alias = ""
new_model = raw_input.strip()
target_provider = current_provider
# Step 1: Parse provider:model syntax
target_provider, new_model = parse_model_input(raw_input, current_provider)
# =================================================================
# PATH A: Explicit --provider given
# =================================================================
if explicit_provider:
# Resolve the provider
pdef = resolve_provider_full(explicit_provider, user_providers)
if pdef is None:
_switch_err = (
f"Unknown provider '{explicit_provider}'. "
f"Check 'hermes model' for available providers, or define it "
f"in config.yaml under 'providers:'."
)
# Check for common config issues that cause provider resolution failures
try:
from hermes_cli.config import validate_config_structure
_cfg_issues = validate_config_structure()
if _cfg_issues:
_switch_err += "\n\nRun 'hermes doctor' — config issues detected:"
for _ci in _cfg_issues[:3]:
_switch_err += f"\n{_ci.message}"
except Exception:
pass
return ModelSwitchResult(
success=False,
is_global=is_global,
error_message=_switch_err,
)
# Step 2: Detect if we're currently on a custom endpoint
_base = current_base_url or ""
is_custom = current_provider == "custom" or (
"localhost" in _base or "127.0.0.1" in _base
)
target_provider = pdef.id
# If no model specified, try auto-detect from endpoint
if not new_model:
if pdef.base_url:
from hermes_cli.runtime_provider import _auto_detect_local_model
detected = _auto_detect_local_model(pdef.base_url)
if detected:
new_model = detected
else:
return ModelSwitchResult(
success=False,
target_provider=target_provider,
provider_label=pdef.name,
is_global=is_global,
error_message=(
f"No model detected on {pdef.name} ({pdef.base_url}). "
f"Specify the model explicitly: /model <model-name> --provider {explicit_provider}"
),
)
else:
return ModelSwitchResult(
success=False,
target_provider=target_provider,
provider_label=pdef.name,
is_global=is_global,
error_message=(
f"Provider '{pdef.name}' has no base URL configured. "
f"Specify a model: /model <model-name> --provider {explicit_provider}"
),
)
# Resolve alias on the TARGET provider
alias_result = resolve_alias(new_model, target_provider)
if alias_result is not None:
_, new_model, resolved_alias = alias_result
# =================================================================
# PATH B: No explicit provider — resolve from model input
# =================================================================
else:
# --- Step a: Try alias resolution on current provider ---
alias_result = resolve_alias(raw_input, current_provider)
if alias_result is not None:
target_provider, new_model, resolved_alias = alias_result
logger.debug(
"Alias '%s' resolved to %s on %s",
resolved_alias, new_model, target_provider,
)
else:
# --- Step b: Alias exists but not on current provider -> fallback ---
key = raw_input.strip().lower()
if key in MODEL_ALIASES:
authed = get_authenticated_provider_slugs(
current_provider=current_provider,
user_providers=user_providers,
)
fallback_result = _resolve_alias_fallback(raw_input, authed)
if fallback_result is not None:
target_provider, new_model, resolved_alias = fallback_result
logger.debug(
"Alias '%s' resolved via fallback to %s on %s",
resolved_alias, new_model, target_provider,
)
else:
identity = MODEL_ALIASES[key]
return ModelSwitchResult(
success=False,
is_global=is_global,
error_message=(
f"Alias '{key}' maps to {identity.vendor}/{identity.family} "
f"but no matching model was found in any provider catalog. "
f"Try specifying the full model name."
),
)
else:
# --- Step c: On aggregator, convert vendor:model to vendor/model ---
colon_pos = raw_input.find(":")
if colon_pos > 0 and is_aggregator(current_provider):
left = raw_input[:colon_pos].strip().lower()
right = raw_input[colon_pos + 1:].strip()
if left and right:
# Colons become slashes for aggregator slugs
new_model = f"{left}/{right}"
logger.debug(
"Converted vendor:model '%s' to aggregator slug '%s'",
raw_input, new_model,
)
# --- Step d: Aggregator catalog search ---
if is_aggregator(target_provider) and not resolved_alias:
catalog = list_provider_models(target_provider)
if catalog:
new_model_lower = new_model.lower()
for mid in catalog:
if mid.lower() == new_model_lower:
new_model = mid
break
else:
for mid in catalog:
if "/" in mid:
_, bare = mid.split("/", 1)
if bare.lower() == new_model_lower:
new_model = mid
break
# --- Step e: detect_provider_for_model() as last resort ---
_base = current_base_url or ""
is_custom = current_provider in ("custom", "local") or (
"localhost" in _base or "127.0.0.1" in _base
)
if (
target_provider == current_provider
and not is_custom
and not resolved_alias
):
detected = detect_provider_for_model(new_model, current_provider)
if detected:
target_provider, new_model = detected
# =================================================================
# COMMON PATH: Resolve credentials, normalize, get metadata
# =================================================================
# Step 3: Auto-detect provider when no explicit provider:model syntax
# was used. Skip for custom providers — the model name might
# coincidentally match a known provider's catalog.
if target_provider == current_provider and not is_custom:
detected = detect_provider_for_model(new_model, current_provider)
if detected:
target_provider, new_model = detected
provider_changed = target_provider != current_provider
provider_label = get_label(target_provider)
# --- Resolve credentials ---
# Step 4: Resolve credentials for target provider
api_key = current_api_key
base_url = current_base_url
api_mode = ""
if provider_changed or explicit_provider:
if provider_changed:
try:
runtime = resolve_runtime_provider(requested=target_provider)
api_key = runtime.get("api_key", "")
base_url = runtime.get("base_url", "")
api_mode = runtime.get("api_mode", "")
except Exception as e:
provider_label = _PROVIDER_LABELS.get(target_provider, target_provider)
if target_provider == "custom":
return ModelSwitchResult(
success=False,
target_provider=target_provider,
error_message=(
"No custom endpoint configured. Set model.base_url "
"in config.yaml, or set OPENAI_BASE_URL in .env, "
"or run: hermes setup → Custom OpenAI-compatible endpoint"
),
)
return ModelSwitchResult(
success=False,
target_provider=target_provider,
provider_label=provider_label,
is_global=is_global,
error_message=(
f"Could not resolve credentials for provider "
f"'{provider_label}': {e}"
),
)
else:
# Gateway also resolves for unchanged provider to get accurate
# base_url for validation probing.
try:
runtime = resolve_runtime_provider(requested=current_provider)
api_key = runtime.get("api_key", "")
@@ -619,19 +138,7 @@ def switch_model(
except Exception:
pass
# --- Direct alias override: use exact base_url from the alias if set ---
if resolved_alias:
_ensure_direct_aliases()
_da = DIRECT_ALIASES.get(resolved_alias)
if _da is not None and _da.base_url:
base_url = _da.base_url
if not api_key:
api_key = "no-key-required"
# --- Normalize model name for target provider ---
new_model = normalize_model_for_provider(new_model, target_provider)
# --- Validate ---
# Step 5: Validate the model
try:
validation = validate_requested_model(
new_model,
@@ -653,34 +160,23 @@ def switch_model(
success=False,
new_model=new_model,
target_provider=target_provider,
provider_label=provider_label,
is_global=is_global,
error_message=msg,
)
# --- OpenCode api_mode override ---
if target_provider in {"opencode-zen", "opencode-go", "opencode", "opencode-go"}:
# Step 6: Build result
provider_label = _PROVIDER_LABELS.get(target_provider, target_provider)
is_custom_target = target_provider == "custom" or (
base_url
and "openrouter.ai" not in (base_url or "")
and ("localhost" in (base_url or "") or "127.0.0.1" in (base_url or ""))
)
if target_provider in {"opencode-zen", "opencode-go"}:
# Recompute against the requested new model, not the currently-configured
# model used during runtime resolution. OpenCode mixes API surfaces by
# model family, so a same-provider model switch can change api_mode.
api_mode = opencode_model_api_mode(target_provider, new_model)
# --- Determine api_mode if not already set ---
if not api_mode:
api_mode = determine_api_mode(target_provider, base_url)
# --- Get capabilities (legacy) ---
capabilities = get_model_capabilities(target_provider, new_model)
# --- Get full model info from models.dev ---
model_info = get_model_info(target_provider, new_model)
# --- Collect warnings ---
warnings: list[str] = []
if validation.get("message"):
warnings.append(validation["message"])
hermes_warn = _check_hermes_model_warning(new_model)
if hermes_warn:
warnings.append(hermes_warn)
# --- Build result ---
return ModelSwitchResult(
success=True,
new_model=new_model,
@@ -689,191 +185,18 @@ def switch_model(
api_key=api_key,
base_url=base_url,
api_mode=api_mode,
warning_message=" | ".join(warnings) if warnings else "",
persist=bool(validation.get("persist")),
warning_message=validation.get("message") or "",
is_custom_target=is_custom_target,
provider_label=provider_label,
resolved_via_alias=resolved_alias,
capabilities=capabilities,
model_info=model_info,
is_global=is_global,
)
# ---------------------------------------------------------------------------
# Authenticated providers listing (for /model no-args display)
# ---------------------------------------------------------------------------
def list_authenticated_providers(
current_provider: str = "",
user_providers: dict = None,
max_models: int = 8,
) -> List[dict]:
"""Detect which providers have credentials and list their curated models.
Uses the curated model lists from hermes_cli/models.py (OPENROUTER_MODELS,
_PROVIDER_MODELS) NOT the full models.dev catalog. These are hand-picked
agentic models that work well as agent backends.
Returns a list of dicts, each with:
- slug: str the --provider value to use
- name: str display name
- is_current: bool
- is_user_defined: bool
- models: list[str] curated model IDs (up to max_models)
- total_models: int total curated count
- source: str "built-in", "models.dev", "user-config"
Only includes providers that have API keys set or are user-defined endpoints.
"""
import os
from agent.models_dev import (
PROVIDER_TO_MODELS_DEV,
fetch_models_dev,
get_provider_info as _mdev_pinfo,
)
from hermes_cli.models import OPENROUTER_MODELS, _PROVIDER_MODELS
results: List[dict] = []
seen_slugs: set = set()
data = fetch_models_dev()
# Build curated model lists keyed by hermes provider ID
curated: dict[str, list[str]] = dict(_PROVIDER_MODELS)
curated["openrouter"] = [mid for mid, _ in OPENROUTER_MODELS]
# "nous" shares OpenRouter's curated list if not separately defined
if "nous" not in curated:
curated["nous"] = curated["openrouter"]
# --- 1. Check Hermes-mapped providers ---
for hermes_id, mdev_id in PROVIDER_TO_MODELS_DEV.items():
pdata = data.get(mdev_id)
if not isinstance(pdata, dict):
continue
env_vars = pdata.get("env", [])
if not isinstance(env_vars, list):
continue
# Check if any env var is set
has_creds = any(os.environ.get(ev) for ev in env_vars)
if not has_creds:
continue
# Use curated list, falling back to models.dev if no curated list
model_ids = curated.get(hermes_id, [])
total = len(model_ids)
top = model_ids[:max_models]
slug = hermes_id
pinfo = _mdev_pinfo(mdev_id)
display_name = pinfo.name if pinfo else mdev_id
results.append({
"slug": slug,
"name": display_name,
"is_current": slug == current_provider or mdev_id == current_provider,
"is_user_defined": False,
"models": top,
"total_models": total,
"source": "built-in",
})
seen_slugs.add(slug)
# --- 2. Check Hermes-only providers (nous, openai-codex, copilot) ---
from hermes_cli.providers import HERMES_OVERLAYS
for pid, overlay in HERMES_OVERLAYS.items():
if pid in seen_slugs:
continue
# Check if credentials exist
has_creds = False
if overlay.extra_env_vars:
has_creds = any(os.environ.get(ev) for ev in overlay.extra_env_vars)
if overlay.auth_type in ("oauth_device_code", "oauth_external", "external_process"):
# These use auth stores, not env vars — check for auth.json entries
try:
from hermes_cli.auth import _read_auth_store
store = _read_auth_store()
if store and pid in store:
has_creds = True
except Exception:
pass
if not has_creds:
continue
# Use curated list
model_ids = curated.get(pid, [])
total = len(model_ids)
top = model_ids[:max_models]
results.append({
"slug": pid,
"name": get_label(pid),
"is_current": pid == current_provider,
"is_user_defined": False,
"models": top,
"total_models": total,
"source": "hermes",
})
seen_slugs.add(pid)
# --- 3. User-defined endpoints from config ---
if user_providers and isinstance(user_providers, dict):
for ep_name, ep_cfg in user_providers.items():
if not isinstance(ep_cfg, dict):
continue
display_name = ep_cfg.get("name", "") or ep_name
api_url = ep_cfg.get("api", "") or ep_cfg.get("url", "") or ""
default_model = ep_cfg.get("default_model", "")
models_list = []
if default_model:
models_list.append(default_model)
# Try to probe /v1/models if URL is set (but don't block on it)
# For now just show what we know from config
results.append({
"slug": ep_name,
"name": display_name,
"is_current": ep_name == current_provider,
"is_user_defined": True,
"models": models_list,
"total_models": len(models_list) if models_list else 0,
"source": "user-config",
"api_url": api_url,
})
# Sort: current provider first, then by model count descending
results.sort(key=lambda r: (not r["is_current"], -r["total_models"]))
return results
# ---------------------------------------------------------------------------
# Fuzzy suggestions
# ---------------------------------------------------------------------------
def suggest_models(raw_input: str, limit: int = 3) -> List[str]:
"""Return fuzzy model suggestions for a (possibly misspelled) input."""
query = raw_input.strip()
if not query:
return []
results = search_models_dev(query, limit=limit)
suggestions: list[str] = []
for r in results:
mid = r.get("model_id", "")
if mid:
suggestions.append(mid)
return suggestions[:limit]
# ---------------------------------------------------------------------------
# Custom provider switch
# ---------------------------------------------------------------------------
def switch_to_custom_provider() -> CustomAutoResult:
"""Handle bare '/model --provider custom' — resolve endpoint and auto-detect model."""
"""Handle bare '/model custom' — resolve endpoint and auto-detect model.
Returns a result object; the caller handles persistence and output.
"""
from hermes_cli.runtime_provider import (
resolve_runtime_provider,
_auto_detect_local_model,
@@ -896,7 +219,7 @@ def switch_to_custom_provider() -> CustomAutoResult:
error_message=(
"No custom endpoint configured. "
"Set model.base_url in config.yaml, or set OPENAI_BASE_URL "
"in .env, or run: hermes setup -> Custom OpenAI-compatible endpoint"
"in .env, or run: hermes setup Custom OpenAI-compatible endpoint"
),
)
@@ -909,7 +232,7 @@ def switch_to_custom_provider() -> CustomAutoResult:
error_message=(
f"Custom endpoint at {cust_base} is reachable but no single "
f"model was auto-detected. Specify the model explicitly: "
f"/model <model-name> --provider custom"
f"/model custom:<model-name>"
),
)
+8 -422
View File
@@ -44,7 +44,7 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
("stepfun/step-3.5-flash", ""),
("minimax/minimax-m2.7", ""),
("minimax/minimax-m2.5", ""),
("z-ai/glm-5.1", ""),
("z-ai/glm-5", ""),
("z-ai/glm-5-turbo", ""),
("moonshotai/kimi-k2.5", ""),
("x-ai/grok-4.20-beta", ""),
@@ -60,6 +60,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"nous": [
"anthropic/claude-opus-4.6",
"anthropic/claude-sonnet-4.6",
"qwen/qwen3.6-plus:free",
"anthropic/claude-sonnet-4.5",
"anthropic/claude-haiku-4.5",
"openai/gpt-5.4",
@@ -75,7 +76,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"stepfun/step-3.5-flash",
"minimax/minimax-m2.7",
"minimax/minimax-m2.5",
"z-ai/glm-5.1",
"z-ai/glm-5",
"z-ai/glm-5-turbo",
"moonshotai/kimi-k2.5",
"x-ai/grok-4.20-beta",
@@ -111,17 +112,6 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"gemini-2.5-pro",
"grok-code-fast-1",
],
"gemini": [
"gemini-3.1-pro-preview",
"gemini-3-flash-preview",
"gemini-3.1-flash-lite-preview",
"gemini-2.5-pro",
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
# Gemma open models (also served via AI Studio)
"gemma-4-31b-it",
"gemma-4-26b-it",
],
"zai": [
"glm-5",
"glm-5-turbo",
@@ -265,209 +255,12 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
],
}
# ---------------------------------------------------------------------------
# Nous Portal free-model filtering
# ---------------------------------------------------------------------------
# Models that are ALLOWED to appear when priced as free on Nous Portal.
# Any other free model is hidden — prevents promotional/temporary free models
# from cluttering the selection when users are paying subscribers.
# Models in this list are ALSO filtered out if they are NOT free (i.e. they
# should only appear in the menu when they are genuinely free).
_NOUS_ALLOWED_FREE_MODELS: frozenset[str] = frozenset({
"xiaomi/mimo-v2-pro",
"xiaomi/mimo-v2-omni",
})
def _is_model_free(model_id: str, pricing: dict[str, dict[str, str]]) -> bool:
"""Return True if *model_id* has zero-cost prompt AND completion pricing."""
p = pricing.get(model_id)
if not p:
return False
try:
return float(p.get("prompt", "1")) == 0 and float(p.get("completion", "1")) == 0
except (TypeError, ValueError):
return False
def filter_nous_free_models(
model_ids: list[str],
pricing: dict[str, dict[str, str]],
) -> list[str]:
"""Filter the Nous Portal model list according to free-model policy.
Rules:
Paid models that are NOT in the allowlist keep (normal case).
Free models that are NOT in the allowlist drop.
Allowlist models that ARE free keep.
Allowlist models that are NOT free drop.
"""
if not pricing:
return model_ids # no pricing data — can't filter, show everything
result: list[str] = []
for mid in model_ids:
free = _is_model_free(mid, pricing)
if mid in _NOUS_ALLOWED_FREE_MODELS:
# Allowlist model: only show when it's actually free
if free:
result.append(mid)
else:
# Regular model: keep only when it's NOT free
if not free:
result.append(mid)
return result
# ---------------------------------------------------------------------------
# Nous Portal account tier detection
# ---------------------------------------------------------------------------
def fetch_nous_account_tier(access_token: str, portal_base_url: str = "") -> dict[str, Any]:
"""Fetch the user's Nous Portal account/subscription info.
Calls ``<portal>/api/oauth/account`` with the OAuth access token.
Returns the parsed JSON dict on success, e.g.::
{
"subscription": {
"plan": "Plus",
"tier": 2,
"monthly_charge": 20,
"credits_remaining": 1686.60,
...
},
...
}
Returns an empty dict on any failure (network, auth, parse).
"""
base = (portal_base_url or "https://portal.nousresearch.com").rstrip("/")
url = f"{base}/api/oauth/account"
headers = {
"Authorization": f"Bearer {access_token}",
"Accept": "application/json",
}
try:
req = urllib.request.Request(url, headers=headers)
with urllib.request.urlopen(req, timeout=8) as resp:
return json.loads(resp.read().decode())
except Exception:
return {}
def is_nous_free_tier(account_info: dict[str, Any]) -> bool:
"""Return True if the account info indicates a free (unpaid) tier.
Checks ``subscription.monthly_charge == 0``. Returns False when
the field is missing or unparseable (assumes paid don't block users).
"""
sub = account_info.get("subscription")
if not isinstance(sub, dict):
return False
charge = sub.get("monthly_charge")
if charge is None:
return False
try:
return float(charge) == 0
except (TypeError, ValueError):
return False
def partition_nous_models_by_tier(
model_ids: list[str],
pricing: dict[str, dict[str, str]],
free_tier: bool,
) -> tuple[list[str], list[str]]:
"""Split Nous models into (selectable, unavailable) based on user tier.
For paid-tier users: all models are selectable, none unavailable
(free-model filtering is handled separately by ``filter_nous_free_models``).
For free-tier users: only free models are selectable; paid models
are returned as unavailable (shown grayed out in the menu).
"""
if not free_tier:
return (model_ids, [])
if not pricing:
return (model_ids, []) # can't determine, show everything
selectable: list[str] = []
unavailable: list[str] = []
for mid in model_ids:
if _is_model_free(mid, pricing):
selectable.append(mid)
else:
unavailable.append(mid)
return (selectable, unavailable)
# ---------------------------------------------------------------------------
# TTL cache for free-tier detection — avoids repeated API calls within a
# session while still picking up upgrades quickly.
# ---------------------------------------------------------------------------
_FREE_TIER_CACHE_TTL: int = 180 # seconds (3 minutes)
_free_tier_cache: tuple[bool, float] | None = None # (result, timestamp)
def clear_nous_free_tier_cache() -> None:
"""Invalidate the cached free-tier result (e.g. after login/logout)."""
global _free_tier_cache
_free_tier_cache = None
def check_nous_free_tier() -> bool:
"""Check if the current Nous Portal user is on a free (unpaid) tier.
Results are cached for ``_FREE_TIER_CACHE_TTL`` seconds to avoid
hitting the Portal API on every call. The cache is short-lived so
that an account upgrade is reflected within a few minutes.
Returns False (assume paid) on any error never blocks paying users.
"""
global _free_tier_cache
import time
now = time.monotonic()
if _free_tier_cache is not None:
cached_result, cached_at = _free_tier_cache
if now - cached_at < _FREE_TIER_CACHE_TTL:
return cached_result
try:
from hermes_cli.auth import get_provider_auth_state, resolve_nous_runtime_credentials
# Ensure we have a fresh token (triggers refresh if needed)
resolve_nous_runtime_credentials(min_key_ttl_seconds=60)
state = get_provider_auth_state("nous")
if not state:
_free_tier_cache = (False, now)
return False
access_token = state.get("access_token", "")
portal_url = state.get("portal_base_url", "")
if not access_token:
_free_tier_cache = (False, now)
return False
account_info = fetch_nous_account_tier(access_token, portal_url)
result = is_nous_free_tier(account_info)
_free_tier_cache = (result, now)
return result
except Exception:
_free_tier_cache = (False, now)
return False # default to paid on error — don't block users
_PROVIDER_LABELS = {
"openrouter": "OpenRouter",
"openai-codex": "OpenAI Codex",
"copilot-acp": "GitHub Copilot ACP",
"nous": "Nous Portal",
"copilot": "GitHub Copilot",
"gemini": "Google AI Studio",
"zai": "Z.AI / GLM",
"kimi-coding": "Kimi / Moonshot",
"minimax": "MiniMax",
@@ -494,9 +287,6 @@ _PROVIDER_ALIASES = {
"github-model": "copilot",
"github-copilot-acp": "copilot-acp",
"copilot-acp-agent": "copilot-acp",
"google": "gemini",
"google-gemini": "gemini",
"google-ai-studio": "gemini",
"kimi": "kimi-coding",
"moonshot": "kimi-coding",
"minimax-china": "minimax-cn",
@@ -537,213 +327,6 @@ def menu_labels() -> list[str]:
return labels
# ---------------------------------------------------------------------------
# Pricing helpers — fetch live pricing from OpenRouter-compatible /v1/models
# ---------------------------------------------------------------------------
# Cache: maps model_id → {"prompt": str, "completion": str} per endpoint
_pricing_cache: dict[str, dict[str, dict[str, str]]] = {}
def _format_price_per_mtok(per_token_str: str) -> str:
"""Convert a per-token price string to a human-friendly $/Mtok string.
Always uses 2 decimal places so that prices align vertically when
right-justified in a column (the decimal point stays in the same position).
Examples:
"0.000003" "$3.00" (per million tokens)
"0.00003" "$30.00"
"0.00000015" "$0.15"
"0.0000001" "$0.10"
"0.00018" "$180.00"
"0" "free"
"""
try:
val = float(per_token_str)
except (TypeError, ValueError):
return "?"
if val == 0:
return "free"
per_m = val * 1_000_000
return f"${per_m:.2f}"
def format_pricing_label(pricing: dict[str, str] | None) -> str:
"""Build a compact pricing label like 'in $3 · out $15 · cache $0.30/Mtok'.
Returns empty string when pricing is unavailable.
"""
if not pricing:
return ""
prompt_price = pricing.get("prompt", "")
completion_price = pricing.get("completion", "")
if not prompt_price and not completion_price:
return ""
inp = _format_price_per_mtok(prompt_price)
out = _format_price_per_mtok(completion_price)
if inp == "free" and out == "free":
return "free"
cache_read = pricing.get("input_cache_read", "")
cache_str = _format_price_per_mtok(cache_read) if cache_read else ""
if inp == out and not cache_str:
return f"{inp}/Mtok"
parts = [f"in {inp}", f"out {out}"]
if cache_str and cache_str != "?" and cache_str != inp:
parts.append(f"cache {cache_str}")
return " · ".join(parts) + "/Mtok"
def format_model_pricing_table(
models: list[tuple[str, str]],
pricing_map: dict[str, dict[str, str]],
current_model: str = "",
indent: str = " ",
) -> list[str]:
"""Build a column-aligned model+pricing table for terminal display.
Returns a list of pre-formatted lines ready to print.
*models* is ``[(model_id, description), ...]``.
"""
if not models:
return []
# Build rows: (model_id, input_price, output_price, cache_price, is_current)
rows: list[tuple[str, str, str, str, bool]] = []
has_cache = False
for mid, _desc in models:
is_cur = mid == current_model
p = pricing_map.get(mid)
if p:
inp = _format_price_per_mtok(p.get("prompt", ""))
out = _format_price_per_mtok(p.get("completion", ""))
cache_read = p.get("input_cache_read", "")
cache = _format_price_per_mtok(cache_read) if cache_read else ""
if cache:
has_cache = True
else:
inp, out, cache = "", "", ""
rows.append((mid, inp, out, cache, is_cur))
name_col = max(len(r[0]) for r in rows) + 2
# Compute price column widths from the actual data so decimals align
price_col = max(
max((len(r[1]) for r in rows if r[1]), default=4),
max((len(r[2]) for r in rows if r[2]), default=4),
3, # minimum: "In" / "Out" header
)
cache_col = max(
max((len(r[3]) for r in rows if r[3]), default=4),
5, # minimum: "Cache" header
) if has_cache else 0
lines: list[str] = []
# Header
if has_cache:
lines.append(f"{indent}{'Model':<{name_col}} {'In':>{price_col}} {'Out':>{price_col}} {'Cache':>{cache_col}} /Mtok")
lines.append(f"{indent}{'-' * name_col} {'-' * price_col} {'-' * price_col} {'-' * cache_col}")
else:
lines.append(f"{indent}{'Model':<{name_col}} {'In':>{price_col}} {'Out':>{price_col}} /Mtok")
lines.append(f"{indent}{'-' * name_col} {'-' * price_col} {'-' * price_col}")
for mid, inp, out, cache, is_cur in rows:
marker = " ← current" if is_cur else ""
if has_cache:
lines.append(f"{indent}{mid:<{name_col}} {inp:>{price_col}} {out:>{price_col}} {cache:>{cache_col}}{marker}")
else:
lines.append(f"{indent}{mid:<{name_col}} {inp:>{price_col}} {out:>{price_col}}{marker}")
return lines
def fetch_models_with_pricing(
api_key: str | None = None,
base_url: str = "https://openrouter.ai/api",
timeout: float = 8.0,
*,
force_refresh: bool = False,
) -> dict[str, dict[str, str]]:
"""Fetch ``/v1/models`` and return ``{model_id: {prompt, completion}}`` pricing.
Results are cached per *base_url* so repeated calls are free.
Works with any OpenRouter-compatible endpoint (OpenRouter, Nous Portal).
"""
cache_key = (base_url or "").rstrip("/")
if not force_refresh and cache_key in _pricing_cache:
return _pricing_cache[cache_key]
url = cache_key.rstrip("/") + "/v1/models"
headers: dict[str, str] = {"Accept": "application/json"}
if api_key:
headers["Authorization"] = f"Bearer {api_key}"
try:
req = urllib.request.Request(url, headers=headers)
with urllib.request.urlopen(req, timeout=timeout) as resp:
payload = json.loads(resp.read().decode())
except Exception:
_pricing_cache[cache_key] = {}
return {}
result: dict[str, dict[str, str]] = {}
for item in payload.get("data", []):
mid = item.get("id")
pricing = item.get("pricing")
if mid and isinstance(pricing, dict):
entry: dict[str, str] = {
"prompt": str(pricing.get("prompt", "")),
"completion": str(pricing.get("completion", "")),
}
if pricing.get("input_cache_read"):
entry["input_cache_read"] = str(pricing["input_cache_read"])
if pricing.get("input_cache_write"):
entry["input_cache_write"] = str(pricing["input_cache_write"])
result[mid] = entry
_pricing_cache[cache_key] = result
return result
def _resolve_openrouter_api_key() -> str:
"""Best-effort OpenRouter API key for pricing fetch."""
return os.getenv("OPENROUTER_API_KEY", "").strip()
def _resolve_nous_pricing_credentials() -> tuple[str, str]:
"""Return ``(api_key, base_url)`` for Nous Portal pricing, or empty strings."""
try:
from hermes_cli.auth import resolve_nous_runtime_credentials
creds = resolve_nous_runtime_credentials()
if creds:
return (creds.get("api_key", ""), creds.get("base_url", ""))
except Exception:
pass
return ("", "")
def get_pricing_for_provider(provider: str) -> dict[str, dict[str, str]]:
"""Return live pricing for providers that support it (openrouter, nous)."""
normalized = normalize_provider(provider)
if normalized == "openrouter":
return fetch_models_with_pricing(
api_key=_resolve_openrouter_api_key(),
base_url="https://openrouter.ai/api",
)
if normalized == "nous":
api_key, base_url = _resolve_nous_pricing_credentials()
if base_url:
# Nous base_url typically looks like https://inference-api.nousresearch.com/v1
# We need the part before /v1 for our fetch function
stripped = base_url.rstrip("/")
if stripped.endswith("/v1"):
stripped = stripped[:-3]
return fetch_models_with_pricing(
api_key=api_key,
base_url=stripped,
)
return {}
# All provider IDs and aliases that are valid for the provider:model syntax.
_KNOWN_PROVIDER_NAMES: set[str] = (
set(_PROVIDER_LABELS.keys())
@@ -761,8 +344,7 @@ def list_available_providers() -> list[dict[str, str]]:
# Canonical providers in display order
_PROVIDER_ORDER = [
"openrouter", "nous", "openai-codex", "copilot", "copilot-acp",
"gemini", "huggingface",
"zai", "kimi-coding", "minimax", "minimax-cn", "kilocode", "anthropic", "alibaba",
"huggingface", "zai", "kimi-coding", "minimax", "minimax-cn", "kilocode", "anthropic", "alibaba",
"opencode-zen", "opencode-go",
"ai-gateway", "deepseek", "custom",
]
@@ -1131,6 +713,10 @@ def _payload_items(payload: Any) -> list[dict[str, Any]]:
return []
def _extract_model_ids(payload: Any) -> list[str]:
return [item.get("id", "") for item in _payload_items(payload) if item.get("id")]
def copilot_default_headers() -> dict[str, str]:
"""Standard headers for Copilot API requests.
+11 -23
View File
@@ -131,7 +131,6 @@ def _browser_label(current_provider: str) -> str:
mapping = {
"browserbase": "Browserbase",
"browser-use": "Browser Use",
"firecrawl": "Firecrawl",
"camofox": "Camofox",
"local": "Local browser",
}
@@ -157,7 +156,6 @@ def _resolve_browser_feature_state(
direct_camofox: bool,
direct_browserbase: bool,
direct_browser_use: bool,
direct_firecrawl: bool,
managed_browser_available: bool,
) -> tuple[str, bool, bool, bool]:
"""Resolve browser availability using the same precedence as runtime."""
@@ -167,22 +165,18 @@ def _resolve_browser_feature_state(
if browser_provider_explicit:
current_provider = browser_provider or "local"
if current_provider == "browserbase":
available = bool(browser_local_available and direct_browserbase)
active = bool(browser_tool_enabled and available)
return current_provider, available, active, False
if current_provider == "browser-use":
provider_available = managed_browser_available or direct_browser_use
provider_available = managed_browser_available or direct_browserbase
available = bool(browser_local_available and provider_available)
managed = bool(
browser_tool_enabled
and browser_local_available
and managed_browser_available
and not direct_browser_use
and not direct_browserbase
)
active = bool(browser_tool_enabled and available)
return current_provider, available, active, managed
if current_provider == "firecrawl":
available = bool(browser_local_available and direct_firecrawl)
if current_provider == "browser-use":
available = bool(browser_local_available and direct_browser_use)
active = bool(browser_tool_enabled and available)
return current_provider, available, active, False
if current_provider == "camofox":
@@ -193,21 +187,16 @@ def _resolve_browser_feature_state(
active = bool(browser_tool_enabled and available)
return current_provider, available, active, False
if managed_browser_available or direct_browser_use:
if managed_browser_available or direct_browserbase:
available = bool(browser_local_available)
managed = bool(
browser_tool_enabled
and browser_local_available
and managed_browser_available
and not direct_browser_use
and not direct_browserbase
)
active = bool(browser_tool_enabled and available)
return "browser-use", available, active, managed
if direct_browserbase:
available = bool(browser_local_available)
active = bool(browser_tool_enabled and available)
return "browserbase", available, active, False
return "browserbase", available, active, managed
available = bool(browser_local_available)
active = bool(browser_tool_enabled and available)
@@ -271,7 +260,7 @@ def get_nous_subscription_features(
managed_web_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("firecrawl")
managed_image_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("fal-queue")
managed_tts_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("openai-audio")
managed_browser_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("browser-use")
managed_browser_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("browserbase")
managed_modal_available = managed_tools_flag and nous_auth_present and is_managed_tool_gateway_ready("modal")
modal_state = resolve_modal_backend_state(
modal_mode,
@@ -326,7 +315,6 @@ def get_nous_subscription_features(
direct_camofox=direct_camofox,
direct_browserbase=direct_browserbase,
direct_browser_use=direct_browser_use,
direct_firecrawl=direct_firecrawl,
managed_browser_available=managed_browser_available,
)
@@ -517,10 +505,10 @@ def apply_nous_managed_defaults(
changed.add("tts")
if "browser" in selected_toolsets and not features.browser.explicit_configured and not (
get_env_value("BROWSER_USE_API_KEY")
or get_env_value("BROWSERBASE_API_KEY")
get_env_value("BROWSERBASE_API_KEY")
or get_env_value("BROWSER_USE_API_KEY")
):
browser_cfg["cloud_provider"] = "browser-use"
browser_cfg["cloud_provider"] = "browserbase"
changed.add("browser")
if "image_gen" in selected_toolsets and not get_env_value("FAL_KEY"):
+6 -54
View File
@@ -36,9 +36,8 @@ import sys
import types
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Set, Union
from typing import Any, Callable, Dict, List, Optional, Set
from hermes_constants import get_hermes_home
from utils import env_var_enabled
try:
@@ -57,8 +56,6 @@ VALID_HOOKS: Set[str] = {
"post_tool_call",
"pre_llm_call",
"post_llm_call",
"pre_api_request",
"post_api_request",
"on_session_start",
"on_session_end",
}
@@ -96,7 +93,7 @@ class PluginManifest:
version: str = ""
description: str = ""
author: str = ""
requires_env: List[Union[str, Dict[str, Any]]] = field(default_factory=list)
requires_env: List[str] = field(default_factory=list)
provides_tools: List[str] = field(default_factory=list)
provides_hooks: List[str] = field(default_factory=list)
source: str = "" # "user", "project", or "entrypoint"
@@ -185,32 +182,6 @@ class PluginContext:
cli._pending_input.put(msg)
return True
# -- CLI command registration --------------------------------------------
def register_cli_command(
self,
name: str,
help: str,
setup_fn: Callable,
handler_fn: Callable | None = None,
description: str = "",
) -> None:
"""Register a CLI subcommand (e.g. ``hermes honcho ...``).
The *setup_fn* receives an argparse subparser and should add any
arguments/sub-subparsers. If *handler_fn* is provided it is set
as the default dispatch function via ``set_defaults(func=...)``.
"""
self._manager._cli_commands[name] = {
"name": name,
"help": help,
"description": description,
"setup_fn": setup_fn,
"handler_fn": handler_fn,
"plugin": self.manifest.name,
}
logger.debug("Plugin %s registered CLI command: %s", self.manifest.name, name)
# -- hook registration --------------------------------------------------
def register_hook(self, hook_name: str, callback: Callable) -> None:
@@ -242,7 +213,6 @@ class PluginManager:
self._plugins: Dict[str, LoadedPlugin] = {}
self._hooks: Dict[str, List[Callable]] = {}
self._plugin_tool_names: Set[str] = set()
self._cli_commands: Dict[str, dict] = {}
self._discovered: bool = False
self._cli_ref = None # Set by CLI after plugin discovery
@@ -259,7 +229,8 @@ class PluginManager:
manifests: List[PluginManifest] = []
# 1. User plugins (~/.hermes/plugins/)
user_dir = get_hermes_home() / "plugins"
hermes_home = os.environ.get("HERMES_HOME", os.path.expanduser("~/.hermes"))
user_dir = Path(hermes_home) / "plugins"
manifests.extend(self._scan_directory(user_dir, source="user"))
# 2. Project plugins (./.hermes/plugins/)
@@ -470,18 +441,8 @@ class PluginManager:
plugin cannot break the core agent loop.
Returns a list of non-``None`` return values from callbacks.
For ``pre_llm_call``, callbacks may return a dict describing
context to inject into the current turn's user message::
{"context": "recalled text..."}
"recalled text..." # plain string, equivalent
Context is ALWAYS injected into the user message, never the
system prompt. This preserves the prompt cache prefix the
system prompt stays identical across turns so cached tokens
are reused. All injected context is ephemeral never
persisted to session DB.
This allows hooks like ``pre_llm_call`` to contribute context
that the agent core can collect and inject.
"""
callbacks = self._hooks.get(hook_name, [])
results: List[Any] = []
@@ -555,15 +516,6 @@ def get_plugin_tool_names() -> Set[str]:
return get_plugin_manager()._plugin_tool_names
def get_plugin_cli_commands() -> Dict[str, dict]:
"""Return CLI commands registered by general plugins.
Returns a dict of ``{name: {help, setup_fn, handler_fn, ...}}``
suitable for wiring into argparse subparsers.
"""
return dict(get_plugin_manager()._cli_commands)
def get_plugin_toolsets() -> List[tuple]:
"""Return plugin toolsets as ``(key, label, description)`` tuples.
+7 -99
View File
@@ -16,8 +16,6 @@ import subprocess
import sys
from pathlib import Path
from hermes_constants import get_hermes_home
logger = logging.getLogger(__name__)
# Minimum manifest version this installer understands.
@@ -28,7 +26,8 @@ _SUPPORTED_MANIFEST_VERSION = 1
def _plugins_dir() -> Path:
"""Return the user plugins directory, creating it if needed."""
plugins = get_hermes_home() / "plugins"
hermes_home = os.environ.get("HERMES_HOME", os.path.expanduser("~/.hermes"))
plugins = Path(hermes_home) / "plugins"
plugins.mkdir(parents=True, exist_ok=True)
return plugins
@@ -42,11 +41,6 @@ def _sanitize_plugin_name(name: str, plugins_dir: Path) -> Path:
if not name:
raise ValueError("Plugin name must not be empty.")
if name in (".", ".."):
raise ValueError(
f"Invalid plugin name '{name}': must not reference the plugins directory itself."
)
# Reject obvious traversal characters
for bad in ("/", "\\", ".."):
if bad in name:
@@ -55,14 +49,10 @@ def _sanitize_plugin_name(name: str, plugins_dir: Path) -> Path:
target = (plugins_dir / name).resolve()
plugins_resolved = plugins_dir.resolve()
if target == plugins_resolved:
raise ValueError(
f"Invalid plugin name '{name}': resolves to the plugins directory itself."
)
try:
target.relative_to(plugins_resolved)
except ValueError:
if (
not str(target).startswith(str(plugins_resolved) + os.sep)
and target != plugins_resolved
):
raise ValueError(
f"Invalid plugin name '{name}': resolves outside the plugins directory."
)
@@ -148,82 +138,6 @@ def _copy_example_files(plugin_dir: Path, console) -> None:
)
def _prompt_plugin_env_vars(manifest: dict, console) -> None:
"""Prompt for required environment variables declared in plugin.yaml.
``requires_env`` accepts two formats:
Simple list (backwards-compatible)::
requires_env:
- MY_API_KEY
Rich list with metadata::
requires_env:
- name: MY_API_KEY
description: "API key for Acme service"
url: "https://acme.com/keys"
secret: true
Already-set variables are skipped. Values are saved to the user's ``.env``.
"""
requires_env = manifest.get("requires_env") or []
if not requires_env:
return
from hermes_cli.config import get_env_value, save_env_value # noqa: F811
from hermes_constants import display_hermes_home
# Normalise to list-of-dicts
env_specs: list[dict] = []
for entry in requires_env:
if isinstance(entry, str):
env_specs.append({"name": entry})
elif isinstance(entry, dict) and entry.get("name"):
env_specs.append(entry)
# Filter to only vars that aren't already set
missing = [s for s in env_specs if not get_env_value(s["name"])]
if not missing:
return
plugin_name = manifest.get("name", "this plugin")
console.print(f"\n[bold]{plugin_name}[/bold] requires the following environment variables:\n")
for spec in missing:
name = spec["name"]
desc = spec.get("description", "")
url = spec.get("url", "")
secret = spec.get("secret", False)
label = f" {name}"
if desc:
label += f"{desc}"
console.print(label)
if url:
console.print(f" [dim]Get yours at: {url}[/dim]")
try:
if secret:
import getpass
value = getpass.getpass(f" {name}: ").strip()
else:
value = input(f" {name}: ").strip()
except (EOFError, KeyboardInterrupt):
console.print(f"\n[dim] Skipped (you can set these later in {display_hermes_home()}/.env)[/dim]")
return
if value:
save_env_value(name, value)
os.environ[name] = value
console.print(f" [green]✓[/green] Saved to {display_hermes_home()}/.env")
else:
console.print(f" [dim] Skipped (set {name} in {display_hermes_home()}/.env later)[/dim]")
console.print()
def _display_after_install(plugin_dir: Path, identifier: str) -> None:
"""Show after-install.md if it exists, otherwise a default message."""
from rich.console import Console
@@ -295,7 +209,7 @@ def cmd_install(identifier: str, force: bool = False) -> None:
sys.exit(1)
# Warn about insecure / local URL schemes
if git_url.startswith(("http://", "file://")):
if git_url.startswith("http://") or git_url.startswith("file://"):
console.print(
"[yellow]Warning:[/yellow] Using insecure/local URL scheme. "
"Consider using https:// or git@ for production installs."
@@ -383,12 +297,6 @@ def cmd_install(identifier: str, force: bool = False) -> None:
# Copy .example files to their real names (e.g. config.yaml.example → config.yaml)
_copy_example_files(target, console)
# Re-read manifest from installed location (for env var prompting)
installed_manifest = _read_manifest(target)
# Prompt for required environment variables before showing after-install docs
_prompt_plugin_env_vars(installed_manifest, console)
_display_after_install(target, identifier)
console.print("[dim]Restart the gateway for the plugin to take effect:[/dim]")
+2 -1
View File
@@ -26,7 +26,7 @@ import shutil
import stat
import subprocess
import sys
from dataclasses import dataclass
from dataclasses import dataclass, field
from pathlib import Path, PurePosixPath, PureWindowsPath
from typing import List, Optional
@@ -517,6 +517,7 @@ def delete_profile(name: str, yes: bool = False) -> Path:
]
# Check for service
from hermes_cli.gateway import _profile_suffix, get_service_name
wrapper_path = _get_wrapper_dir() / name
has_wrapper = wrapper_path.exists()
if has_wrapper:
-498
View File
@@ -1,498 +0,0 @@
"""
Single source of truth for provider identity in Hermes Agent.
Two data sources, merged at runtime:
1. **models.dev catalog** 109+ providers with base URLs, env vars, display
names, and full model metadata (context, cost, capabilities). This is
the primary database.
2. **Hermes overlays** transport type, auth patterns, aggregator flags,
and additional env vars that models.dev doesn't track. Small dict,
maintained here.
3. **User config** (``providers:`` section in config.yaml) user-defined
endpoints and overrides. Merged on top of everything else.
Other modules import from this file. No parallel registries.
"""
from __future__ import annotations
import logging
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Tuple
logger = logging.getLogger(__name__)
# -- Hermes overlay ----------------------------------------------------------
# Hermes-specific metadata that models.dev doesn't provide.
@dataclass(frozen=True)
class HermesOverlay:
"""Hermes-specific provider metadata layered on top of models.dev."""
transport: str = "openai_chat" # openai_chat | anthropic_messages | codex_responses
is_aggregator: bool = False
auth_type: str = "api_key" # api_key | oauth_device_code | oauth_external | external_process
extra_env_vars: Tuple[str, ...] = () # env vars models.dev doesn't list
base_url_override: str = "" # override if models.dev URL is wrong/missing
base_url_env_var: str = "" # env var for user-custom base URL
HERMES_OVERLAYS: Dict[str, HermesOverlay] = {
"openrouter": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
extra_env_vars=("OPENAI_API_KEY",),
base_url_env_var="OPENROUTER_BASE_URL",
),
"nous": HermesOverlay(
transport="openai_chat",
auth_type="oauth_device_code",
base_url_override="https://inference-api.nousresearch.com/v1",
),
"openai-codex": HermesOverlay(
transport="codex_responses",
auth_type="oauth_external",
base_url_override="https://chatgpt.com/backend-api/codex",
),
"copilot-acp": HermesOverlay(
transport="codex_responses",
auth_type="external_process",
base_url_override="acp://copilot",
base_url_env_var="COPILOT_ACP_BASE_URL",
),
"github-copilot": HermesOverlay(
transport="openai_chat",
extra_env_vars=("COPILOT_GITHUB_TOKEN", "GH_TOKEN"),
),
"anthropic": HermesOverlay(
transport="anthropic_messages",
extra_env_vars=("ANTHROPIC_TOKEN", "CLAUDE_CODE_OAUTH_TOKEN"),
),
"zai": HermesOverlay(
transport="openai_chat",
extra_env_vars=("GLM_API_KEY", "ZAI_API_KEY", "Z_AI_API_KEY"),
base_url_env_var="GLM_BASE_URL",
),
"kimi-for-coding": HermesOverlay(
transport="openai_chat",
base_url_env_var="KIMI_BASE_URL",
),
"minimax": HermesOverlay(
transport="openai_chat",
base_url_env_var="MINIMAX_BASE_URL",
),
"minimax-cn": HermesOverlay(
transport="openai_chat",
base_url_env_var="MINIMAX_CN_BASE_URL",
),
"deepseek": HermesOverlay(
transport="openai_chat",
base_url_env_var="DEEPSEEK_BASE_URL",
),
"alibaba": HermesOverlay(
transport="openai_chat",
base_url_env_var="DASHSCOPE_BASE_URL",
),
"vercel": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
),
"opencode": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
base_url_env_var="OPENCODE_ZEN_BASE_URL",
),
"opencode-go": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
base_url_env_var="OPENCODE_GO_BASE_URL",
),
"kilo": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
base_url_env_var="KILOCODE_BASE_URL",
),
"huggingface": HermesOverlay(
transport="openai_chat",
is_aggregator=True,
base_url_env_var="HF_BASE_URL",
),
}
# -- Resolved provider -------------------------------------------------------
# The merged result of models.dev + overlay + user config.
@dataclass
class ProviderDef:
"""Complete provider definition — merged from all sources."""
id: str
name: str
transport: str # openai_chat | anthropic_messages | codex_responses
api_key_env_vars: Tuple[str, ...] # all env vars to check for API key
base_url: str = ""
base_url_env_var: str = ""
is_aggregator: bool = False
auth_type: str = "api_key"
doc: str = ""
source: str = "" # "models.dev", "hermes", "user-config"
@property
def is_user_defined(self) -> bool:
return self.source == "user-config"
# -- Aliases ------------------------------------------------------------------
# Maps human-friendly / legacy names to canonical provider IDs.
# Uses models.dev IDs where possible.
ALIASES: Dict[str, str] = {
# openrouter
"openai": "openrouter", # bare "openai" → route through aggregator
# zai
"glm": "zai",
"z-ai": "zai",
"z.ai": "zai",
"zhipu": "zai",
# kimi-for-coding (models.dev ID)
"kimi": "kimi-for-coding",
"kimi-coding": "kimi-for-coding",
"moonshot": "kimi-for-coding",
# minimax-cn
"minimax-china": "minimax-cn",
"minimax_cn": "minimax-cn",
# anthropic
"claude": "anthropic",
"claude-code": "anthropic",
# github-copilot (models.dev ID)
"copilot": "github-copilot",
"github": "github-copilot",
"github-copilot-acp": "copilot-acp",
# vercel (models.dev ID for AI Gateway)
"ai-gateway": "vercel",
"aigateway": "vercel",
"vercel-ai-gateway": "vercel",
# opencode (models.dev ID for OpenCode Zen)
"opencode-zen": "opencode",
"zen": "opencode",
# opencode-go
"go": "opencode-go",
"opencode-go-sub": "opencode-go",
# kilo (models.dev ID for KiloCode)
"kilocode": "kilo",
"kilo-code": "kilo",
"kilo-gateway": "kilo",
# deepseek
"deep-seek": "deepseek",
# alibaba
"dashscope": "alibaba",
"aliyun": "alibaba",
"qwen": "alibaba",
"alibaba-cloud": "alibaba",
# huggingface
"hf": "huggingface",
"hugging-face": "huggingface",
"huggingface-hub": "huggingface",
# Local server aliases → virtual "local" concept (resolved via user config)
"lmstudio": "lmstudio",
"lm-studio": "lmstudio",
"lm_studio": "lmstudio",
"ollama": "ollama-cloud",
"vllm": "local",
"llamacpp": "local",
"llama.cpp": "local",
"llama-cpp": "local",
}
# -- Display labels -----------------------------------------------------------
# Built dynamically from models.dev + overlays. Fallback for providers
# not in the catalog.
_LABEL_OVERRIDES: Dict[str, str] = {
"nous": "Nous Portal",
"openai-codex": "OpenAI Codex",
"copilot-acp": "GitHub Copilot ACP",
"local": "Local endpoint",
}
# -- Transport → API mode mapping ---------------------------------------------
TRANSPORT_TO_API_MODE: Dict[str, str] = {
"openai_chat": "chat_completions",
"anthropic_messages": "anthropic_messages",
"codex_responses": "codex_responses",
}
# -- Helper functions ---------------------------------------------------------
def normalize_provider(name: str) -> str:
"""Resolve aliases and normalise casing to a canonical provider id.
Returns the canonical id string. Does *not* validate that the id
corresponds to a known provider.
"""
key = name.strip().lower()
return ALIASES.get(key, key)
def get_overlay(provider_id: str) -> Optional[HermesOverlay]:
"""Get Hermes overlay for a provider, if one exists."""
canonical = normalize_provider(provider_id)
return HERMES_OVERLAYS.get(canonical)
def get_provider(name: str) -> Optional[ProviderDef]:
"""Look up a provider by id or alias, merging all data sources.
Resolution order:
1. Hermes overlays (for providers not in models.dev: nous, openai-codex, etc.)
2. models.dev catalog + Hermes overlay
3. User-defined providers from config (TODO: Phase 4)
Returns a fully-resolved ProviderDef or None.
"""
canonical = normalize_provider(name)
# Try to get models.dev data
try:
from agent.models_dev import get_provider_info as _mdev_provider
mdev_info = _mdev_provider(canonical)
except Exception:
mdev_info = None
overlay = HERMES_OVERLAYS.get(canonical)
if mdev_info is not None:
# Merge models.dev + overlay
transport = overlay.transport if overlay else "openai_chat"
is_agg = overlay.is_aggregator if overlay else False
auth = overlay.auth_type if overlay else "api_key"
base_url_env = overlay.base_url_env_var if overlay else ""
base_url_override = overlay.base_url_override if overlay else ""
# Combine env vars: models.dev env + hermes extra
env_vars = list(mdev_info.env)
if overlay and overlay.extra_env_vars:
for ev in overlay.extra_env_vars:
if ev not in env_vars:
env_vars.append(ev)
return ProviderDef(
id=canonical,
name=mdev_info.name,
transport=transport,
api_key_env_vars=tuple(env_vars),
base_url=base_url_override or mdev_info.api,
base_url_env_var=base_url_env,
is_aggregator=is_agg,
auth_type=auth,
doc=mdev_info.doc,
source="models.dev",
)
if overlay is not None:
# Hermes-only provider (not in models.dev)
return ProviderDef(
id=canonical,
name=_LABEL_OVERRIDES.get(canonical, canonical),
transport=overlay.transport,
api_key_env_vars=overlay.extra_env_vars,
base_url=overlay.base_url_override,
base_url_env_var=overlay.base_url_env_var,
is_aggregator=overlay.is_aggregator,
auth_type=overlay.auth_type,
source="hermes",
)
return None
def get_label(provider_id: str) -> str:
"""Get a human-readable display name for a provider."""
canonical = normalize_provider(provider_id)
# Check label overrides first
if canonical in _LABEL_OVERRIDES:
return _LABEL_OVERRIDES[canonical]
# Try models.dev
pdef = get_provider(canonical)
if pdef:
return pdef.name
return canonical
# For direct import compat, expose as module-level dict
# Built on demand by get_label() calls
LABELS: Dict[str, str] = {
# Static entries for backward compat — get_label() is the proper API
"openrouter": "OpenRouter",
"nous": "Nous Portal",
"openai-codex": "OpenAI Codex",
"copilot-acp": "GitHub Copilot ACP",
"github-copilot": "GitHub Copilot",
"anthropic": "Anthropic",
"zai": "Z.AI / GLM",
"kimi-for-coding": "Kimi / Moonshot",
"minimax": "MiniMax",
"minimax-cn": "MiniMax (China)",
"deepseek": "DeepSeek",
"alibaba": "Alibaba Cloud (DashScope)",
"vercel": "Vercel AI Gateway",
"opencode": "OpenCode Zen",
"opencode-go": "OpenCode Go",
"kilo": "Kilo Gateway",
"huggingface": "Hugging Face",
"local": "Local endpoint",
"custom": "Custom endpoint",
# Legacy Hermes IDs (point to same providers)
"ai-gateway": "Vercel AI Gateway",
"kilocode": "Kilo Gateway",
"copilot": "GitHub Copilot",
"kimi-coding": "Kimi / Moonshot",
"opencode-zen": "OpenCode Zen",
}
def is_aggregator(provider: str) -> bool:
"""Return True when the provider is a multi-model aggregator."""
pdef = get_provider(provider)
return pdef.is_aggregator if pdef else False
def determine_api_mode(provider: str, base_url: str = "") -> str:
"""Determine the API mode (wire protocol) for a provider/endpoint.
Resolution order:
1. Known provider transport TRANSPORT_TO_API_MODE.
2. URL heuristics for unknown / custom providers.
3. Default: 'chat_completions'.
"""
pdef = get_provider(provider)
if pdef is not None:
return TRANSPORT_TO_API_MODE.get(pdef.transport, "chat_completions")
# URL-based heuristics for custom / unknown providers
if base_url:
url_lower = base_url.rstrip("/").lower()
if url_lower.endswith("/anthropic") or "api.anthropic.com" in url_lower:
return "anthropic_messages"
if "api.openai.com" in url_lower:
return "codex_responses"
return "chat_completions"
# -- Provider from user config ------------------------------------------------
def resolve_user_provider(name: str, user_config: Dict[str, Any]) -> Optional[ProviderDef]:
"""Resolve a provider from the user's config.yaml ``providers:`` section.
Args:
name: Provider name as given by the user.
user_config: The ``providers:`` dict from config.yaml.
Returns:
ProviderDef if found, else None.
"""
if not user_config or not isinstance(user_config, dict):
return None
entry = user_config.get(name)
if not isinstance(entry, dict):
return None
# Extract fields
display_name = entry.get("name", "") or name
api_url = entry.get("api", "") or entry.get("url", "") or entry.get("base_url", "") or ""
key_env = entry.get("key_env", "") or ""
transport = entry.get("transport", "openai_chat") or "openai_chat"
env_vars: List[str] = []
if key_env:
env_vars.append(key_env)
return ProviderDef(
id=name,
name=display_name,
transport=transport,
api_key_env_vars=tuple(env_vars),
base_url=api_url,
is_aggregator=False,
auth_type="api_key",
source="user-config",
)
def resolve_provider_full(
name: str,
user_providers: Optional[Dict[str, Any]] = None,
) -> Optional[ProviderDef]:
"""Full resolution chain: built-in → models.dev → user config.
This is the main entry point for --provider flag resolution.
Args:
name: Provider name or alias.
user_providers: The ``providers:`` dict from config.yaml (optional).
Returns:
ProviderDef if found, else None.
"""
canonical = normalize_provider(name)
# 1. Built-in (models.dev + overlays)
pdef = get_provider(canonical)
if pdef is not None:
return pdef
# 2. User-defined providers from config
if user_providers:
# Try canonical name
user_pdef = resolve_user_provider(canonical, user_providers)
if user_pdef is not None:
return user_pdef
# Try original name (in case alias didn't match)
user_pdef = resolve_user_provider(name.strip().lower(), user_providers)
if user_pdef is not None:
return user_pdef
# 3. Try models.dev directly (for providers not in our ALIASES)
try:
from agent.models_dev import get_provider_info as _mdev_provider
mdev_info = _mdev_provider(canonical)
if mdev_info is not None:
return ProviderDef(
id=canonical,
name=mdev_info.name,
transport="openai_chat",
api_key_env_vars=mdev_info.env,
base_url=mdev_info.api,
source="models.dev",
)
except Exception:
pass
return None
+24 -57
View File
@@ -2,13 +2,10 @@
from __future__ import annotations
import logging
import os
import re
from typing import Any, Dict, Optional
logger = logging.getLogger(__name__)
from hermes_cli import auth as auth_mod
from agent.credential_pool import CredentialPool, PooledCredential, get_custom_provider_pool_key, load_pool
from hermes_cli.auth import (
@@ -261,12 +258,6 @@ def _get_named_custom_provider(requested_provider: str) -> Optional[Dict[str, An
config = load_config()
custom_providers = config.get("custom_providers")
if not isinstance(custom_providers, list):
if isinstance(custom_providers, dict):
logger.warning(
"custom_providers in config.yaml is a dict, not a list. "
"Each entry must be prefixed with '-' in YAML. "
"Run 'hermes doctor' for details."
)
return None
for entry in custom_providers:
@@ -386,13 +377,9 @@ def _resolve_openrouter_runtime(
]
else:
# Custom endpoint: use api_key from config when using config base_url (#1760).
# When the endpoint is Ollama Cloud, check OLLAMA_API_KEY — it's
# the canonical env var for ollama.com authentication.
_is_ollama_url = "ollama.com" in base_url.lower()
api_key_candidates = [
explicit_api_key,
(cfg_api_key if use_config_base_url else ""),
(os.getenv("OLLAMA_API_KEY") if _is_ollama_url else ""),
os.getenv("OPENAI_API_KEY"),
os.getenv("OPENROUTER_API_KEY"),
]
@@ -495,11 +482,7 @@ def _resolve_explicit_runtime(
explicit_base_url
or str(state.get("inference_base_url") or auth_mod.DEFAULT_NOUS_INFERENCE_URL).strip().rstrip("/")
)
# Only use agent_key for inference — access_token is an OAuth token for the
# portal API (minting keys, refreshing tokens), not for the inference API.
# Falling back to access_token sends an OAuth bearer token to the inference
# endpoint, which returns 404 because it is not a valid inference credential.
api_key = explicit_api_key or str(state.get("agent_key") or "").strip()
api_key = explicit_api_key or str(state.get("agent_key") or state.get("access_token") or "").strip()
expires_at = state.get("agent_key_expires_at") or state.get("expires_at")
if not api_key:
creds = resolve_nous_runtime_credentials(
@@ -639,47 +622,31 @@ def resolve_runtime_provider(
)
if provider == "nous":
try:
creds = resolve_nous_runtime_credentials(
min_key_ttl_seconds=max(60, int(os.getenv("HERMES_NOUS_MIN_KEY_TTL_SECONDS", "1800"))),
timeout_seconds=float(os.getenv("HERMES_NOUS_TIMEOUT_SECONDS", "15")),
)
return {
"provider": "nous",
"api_mode": "chat_completions",
"base_url": creds.get("base_url", "").rstrip("/"),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "portal"),
"expires_at": creds.get("expires_at"),
"requested_provider": requested_provider,
}
except AuthError:
if requested_provider != "auto":
raise
# Auto-detected Nous but credentials are stale/revoked —
# fall through to env-var providers (e.g. OpenRouter).
logger.info("Auto-detected Nous provider but credentials failed; "
"falling through to next provider.")
creds = resolve_nous_runtime_credentials(
min_key_ttl_seconds=max(60, int(os.getenv("HERMES_NOUS_MIN_KEY_TTL_SECONDS", "1800"))),
timeout_seconds=float(os.getenv("HERMES_NOUS_TIMEOUT_SECONDS", "15")),
)
return {
"provider": "nous",
"api_mode": "chat_completions",
"base_url": creds.get("base_url", "").rstrip("/"),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "portal"),
"expires_at": creds.get("expires_at"),
"requested_provider": requested_provider,
}
if provider == "openai-codex":
try:
creds = resolve_codex_runtime_credentials()
return {
"provider": "openai-codex",
"api_mode": "codex_responses",
"base_url": creds.get("base_url", "").rstrip("/"),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "hermes-auth-store"),
"last_refresh": creds.get("last_refresh"),
"requested_provider": requested_provider,
}
except AuthError:
if requested_provider != "auto":
raise
# Auto-detected Codex but credentials are stale/revoked —
# fall through to env-var providers (e.g. OpenRouter).
logger.info("Auto-detected Codex provider but credentials failed; "
"falling through to next provider.")
creds = resolve_codex_runtime_credentials()
return {
"provider": "openai-codex",
"api_mode": "codex_responses",
"base_url": creds.get("base_url", "").rstrip("/"),
"api_key": creds.get("api_key", ""),
"source": creds.get("source", "hermes-auth-store"),
"last_refresh": creds.get("last_refresh"),
"requested_provider": requested_provider,
}
if provider == "copilot-acp":
creds = resolve_external_process_provider_credentials(provider)
+540 -539
View File
File diff suppressed because it is too large Load Diff
+1
View File
@@ -96,6 +96,7 @@ Activate with ``/skin <name>`` in the CLI or ``display.skin: <name>`` in config.
"""
import logging
import os
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
+1 -2
View File
@@ -123,8 +123,7 @@ def show_status(args):
"MiniMax-CN": "MINIMAX_CN_API_KEY",
"Firecrawl": "FIRECRAWL_API_KEY",
"Tavily": "TAVILY_API_KEY",
"Browser Use": "BROWSER_USE_API_KEY", # Optional — local browser works without this
"Browserbase": "BROWSERBASE_API_KEY", # Optional — direct credentials only
"Browserbase": "BROWSERBASE_API_KEY", # Optional — local browser works without this
"FAL": "FAL_KEY",
"Tinker": "TINKER_API_KEY",
"WandB": "WANDB_API_KEY",
+25 -19
View File
@@ -61,6 +61,22 @@ def _prompt(question: str, default: str = None, password: bool = False) -> str:
print()
return default or ""
def _prompt_yes_no(question: str, default: bool = True) -> bool:
default_str = "Y/n" if default else "y/N"
while True:
try:
value = input(color(f"{question} [{default_str}]: ", Colors.YELLOW)).strip().lower()
except (KeyboardInterrupt, EOFError):
print()
return default
if not value:
return default
if value in ('y', 'yes'):
return True
if value in ('n', 'no'):
return False
# ─── Toolset Registry ─────────────────────────────────────────────────────────
# Toolsets shown in the configurator, grouped for display.
@@ -264,21 +280,21 @@ TOOL_CATEGORIES = {
"icon": "🌐",
"providers": [
{
"name": "Nous Subscription (Browser Use cloud)",
"tag": "Managed Browser Use billed to your subscription",
"name": "Nous Subscription (Browserbase cloud)",
"tag": "Managed Browserbase billed to your subscription",
"env_vars": [],
"browser_provider": "browser-use",
"browser_provider": "browserbase",
"requires_nous_auth": True,
"managed_nous_feature": "browser",
"override_env_vars": ["BROWSER_USE_API_KEY"],
"post_setup": "agent_browser",
"override_env_vars": ["BROWSERBASE_API_KEY", "BROWSERBASE_PROJECT_ID"],
"post_setup": "browserbase",
},
{
"name": "Local Browser",
"tag": "Free headless Chromium (no API key needed)",
"env_vars": [],
"browser_provider": "local",
"post_setup": "agent_browser",
"post_setup": "browserbase", # Same npm install for agent-browser
},
{
"name": "Browserbase",
@@ -288,7 +304,7 @@ TOOL_CATEGORIES = {
{"key": "BROWSERBASE_PROJECT_ID", "prompt": "Browserbase project ID"},
],
"browser_provider": "browserbase",
"post_setup": "agent_browser",
"post_setup": "browserbase",
},
{
"name": "Browser Use",
@@ -297,16 +313,7 @@ TOOL_CATEGORIES = {
{"key": "BROWSER_USE_API_KEY", "prompt": "Browser Use API key", "url": "https://browser-use.com"},
],
"browser_provider": "browser-use",
"post_setup": "agent_browser",
},
{
"name": "Firecrawl",
"tag": "Cloud browser with remote execution",
"env_vars": [
{"key": "FIRECRAWL_API_KEY", "prompt": "Firecrawl API key", "url": "https://firecrawl.dev"},
],
"browser_provider": "firecrawl",
"post_setup": "agent_browser",
"post_setup": "browserbase",
},
{
"name": "Camofox",
@@ -365,7 +372,7 @@ TOOLSET_ENV_REQUIREMENTS = {
def _run_post_setup(post_setup_key: str):
"""Run post-setup hooks for tools that need extra installation steps."""
import shutil
if post_setup_key in ("agent_browser", "browserbase"):
if post_setup_key == "browserbase":
node_modules = PROJECT_ROOT / "node_modules" / "agent-browser"
if not node_modules.exists() and shutil.which("npm"):
_print_info(" Installing Node.js dependencies for browser tools...")
@@ -1329,7 +1336,6 @@ def tools_command(args=None, first_install: bool = False, config: dict = None):
print(color("⚕ Hermes Tool Configuration", Colors.CYAN, Colors.BOLD))
print(color(" Enable or disable tools per platform.", Colors.DIM))
print(color(" Tools that need API keys will be configured when enabled.", Colors.DIM))
print(color(" Guide: https://hermes-agent.nousresearch.com/docs/user-guide/features/tools", Colors.DIM))
print()
# ── First-time install: linear flow, no platform menu ──
+5
View File
@@ -6,6 +6,7 @@ Provides options for:
- Keep data: Remove code but keep ~/.hermes/ (configs, sessions, logs)
"""
import os
import shutil
import subprocess
from pathlib import Path
@@ -23,6 +24,10 @@ def log_success(msg: str):
def log_warn(msg: str):
print(f"{color('', Colors.YELLOW)} {msg}")
def log_error(msg: str):
print(f"{color('', Colors.RED)} {msg}")
def get_project_root() -> Path:
"""Get the project installation directory."""
return Path(__file__).parent.parent.resolve()
+4 -3
View File
@@ -16,7 +16,7 @@ import re
import secrets
import time
from pathlib import Path
from typing import Dict
from typing import Dict, Optional
from hermes_constants import display_hermes_home
@@ -25,8 +25,9 @@ _SUBSCRIPTIONS_FILENAME = "webhook_subscriptions.json"
def _hermes_home() -> Path:
from hermes_constants import get_hermes_home
return get_hermes_home()
return Path(
os.getenv("HERMES_HOME", str(Path.home() / ".hermes"))
).expanduser()
def _subscriptions_path() -> Path:
-229
View File
@@ -1,229 +0,0 @@
"""Centralized logging setup for Hermes Agent.
Provides a single ``setup_logging()`` entry point that both the CLI and
gateway call early in their startup path. All log files live under
``~/.hermes/logs/`` (profile-aware via ``get_hermes_home()``).
Log files produced:
agent.log INFO+, all agent/tool/session activity (the main log)
errors.log WARNING+, errors and warnings only (quick triage)
Both files use ``RotatingFileHandler`` with ``RedactingFormatter`` so
secrets are never written to disk.
"""
import logging
from logging.handlers import RotatingFileHandler
from pathlib import Path
from typing import Optional
from hermes_constants import get_hermes_home
# Sentinel to track whether setup_logging() has already run. The function
# is idempotent — calling it twice is safe but the second call is a no-op
# unless ``force=True``.
_logging_initialized = False
# Default log format — includes timestamp, level, logger name, and message.
_LOG_FORMAT = "%(asctime)s %(levelname)s %(name)s: %(message)s"
_LOG_FORMAT_VERBOSE = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
# Third-party loggers that are noisy at DEBUG/INFO level.
_NOISY_LOGGERS = (
"openai",
"openai._base_client",
"httpx",
"httpcore",
"asyncio",
"hpack",
"hpack.hpack",
"grpc",
"modal",
"urllib3",
"urllib3.connectionpool",
"websockets",
"charset_normalizer",
"markdown_it",
)
def setup_logging(
*,
hermes_home: Optional[Path] = None,
log_level: Optional[str] = None,
max_size_mb: Optional[int] = None,
backup_count: Optional[int] = None,
mode: Optional[str] = None,
force: bool = False,
) -> Path:
"""Configure the Hermes logging subsystem.
Safe to call multiple times the second call is a no-op unless
*force* is ``True``.
Parameters
----------
hermes_home
Override for the Hermes home directory. Falls back to
``get_hermes_home()`` (profile-aware).
log_level
Minimum level for the ``agent.log`` file handler. Accepts any
standard Python level name (``"DEBUG"``, ``"INFO"``, ``"WARNING"``).
Defaults to ``"INFO"`` or the value from config.yaml ``logging.level``.
max_size_mb
Maximum size of each log file in megabytes before rotation.
Defaults to 5 or the value from config.yaml ``logging.max_size_mb``.
backup_count
Number of rotated backup files to keep.
Defaults to 3 or the value from config.yaml ``logging.backup_count``.
mode
Hint for the caller context: ``"cli"``, ``"gateway"``, ``"cron"``.
Currently used only for log format tuning (gateway includes PID).
force
Re-run setup even if it has already been called.
Returns
-------
Path
The ``logs/`` directory where files are written.
"""
global _logging_initialized
if _logging_initialized and not force:
home = hermes_home or get_hermes_home()
return home / "logs"
home = hermes_home or get_hermes_home()
log_dir = home / "logs"
log_dir.mkdir(parents=True, exist_ok=True)
# Read config defaults (best-effort — config may not be loaded yet).
cfg_level, cfg_max_size, cfg_backup = _read_logging_config()
level_name = (log_level or cfg_level or "INFO").upper()
level = getattr(logging, level_name, logging.INFO)
max_bytes = (max_size_mb or cfg_max_size or 5) * 1024 * 1024
backups = backup_count or cfg_backup or 3
# Lazy import to avoid circular dependency at module load time.
from agent.redact import RedactingFormatter
root = logging.getLogger()
# --- agent.log (INFO+) — the main activity log -------------------------
_add_rotating_handler(
root,
log_dir / "agent.log",
level=level,
max_bytes=max_bytes,
backup_count=backups,
formatter=RedactingFormatter(_LOG_FORMAT),
)
# --- errors.log (WARNING+) — quick triage log --------------------------
_add_rotating_handler(
root,
log_dir / "errors.log",
level=logging.WARNING,
max_bytes=2 * 1024 * 1024,
backup_count=2,
formatter=RedactingFormatter(_LOG_FORMAT),
)
# Ensure root logger level is low enough for the handlers to fire.
if root.level == logging.NOTSET or root.level > level:
root.setLevel(level)
# Suppress noisy third-party loggers.
for name in _NOISY_LOGGERS:
logging.getLogger(name).setLevel(logging.WARNING)
_logging_initialized = True
return log_dir
def setup_verbose_logging() -> None:
"""Enable DEBUG-level console logging for ``--verbose`` / ``-v`` mode.
Called by ``AIAgent.__init__()`` when ``verbose_logging=True``.
"""
from agent.redact import RedactingFormatter
root = logging.getLogger()
# Avoid adding duplicate stream handlers.
for h in root.handlers:
if isinstance(h, logging.StreamHandler) and not isinstance(h, RotatingFileHandler):
if getattr(h, "_hermes_verbose", False):
return
handler = logging.StreamHandler()
handler.setLevel(logging.DEBUG)
handler.setFormatter(RedactingFormatter(_LOG_FORMAT_VERBOSE, datefmt="%H:%M:%S"))
handler._hermes_verbose = True # type: ignore[attr-defined]
root.addHandler(handler)
# Lower root logger level so DEBUG records reach all handlers.
if root.level > logging.DEBUG:
root.setLevel(logging.DEBUG)
# Keep third-party libraries at WARNING to reduce noise.
for name in _NOISY_LOGGERS:
logging.getLogger(name).setLevel(logging.WARNING)
# rex-deploy at INFO for sandbox status.
logging.getLogger("rex-deploy").setLevel(logging.INFO)
# ---------------------------------------------------------------------------
# Internal helpers
# ---------------------------------------------------------------------------
def _add_rotating_handler(
logger: logging.Logger,
path: Path,
*,
level: int,
max_bytes: int,
backup_count: int,
formatter: logging.Formatter,
) -> None:
"""Add a ``RotatingFileHandler`` to *logger*, skipping if one already
exists for the same resolved file path (idempotent).
"""
resolved = path.resolve()
for existing in logger.handlers:
if (
isinstance(existing, RotatingFileHandler)
and Path(getattr(existing, "baseFilename", "")).resolve() == resolved
):
return # already attached
path.parent.mkdir(parents=True, exist_ok=True)
handler = RotatingFileHandler(
str(path), maxBytes=max_bytes, backupCount=backup_count,
)
handler.setLevel(level)
handler.setFormatter(formatter)
logger.addHandler(handler)
def _read_logging_config():
"""Best-effort read of ``logging.*`` from config.yaml.
Returns ``(level, max_size_mb, backup_count)`` any may be ``None``.
"""
try:
import yaml
config_path = get_hermes_home() / "config.yaml"
if config_path.exists():
with open(config_path, "r", encoding="utf-8") as f:
cfg = yaml.safe_load(f) or {}
log_cfg = cfg.get("logging", {})
if isinstance(log_cfg, dict):
return (
log_cfg.get("level"),
log_cfg.get("max_size_mb"),
log_cfg.get("backup_count"),
)
except Exception:
pass
return (None, None, None)
+6 -40
View File
@@ -16,6 +16,7 @@ Key design decisions:
import json
import logging
import os
import random
import re
import sqlite3
@@ -786,7 +787,6 @@ class SessionDB:
exclude_sources: List[str] = None,
limit: int = 20,
offset: int = 0,
include_children: bool = False,
) -> List[Dict[str, Any]]:
"""List sessions with preview (first user message) and last active timestamp.
@@ -795,16 +795,10 @@ class SessionDB:
last_active (timestamp of last message).
Uses a single query with correlated subqueries instead of N+2 queries.
By default, child sessions (subagent runs, compression continuations)
are excluded. Pass ``include_children=True`` to include them.
"""
where_clauses = []
params = []
if not include_children:
where_clauses.append("s.parent_session_id IS NULL")
if source:
where_clauses.append("s.source = ?")
params.append(source)
@@ -1235,38 +1229,22 @@ class SessionDB:
self._execute_write(_do)
def delete_session(self, session_id: str) -> bool:
"""Delete a session, its child sessions, and all their messages.
Child sessions (subagent runs, compression continuations) are deleted
first to satisfy the ``parent_session_id`` foreign key constraint.
Returns True if the session was found and deleted.
"""
"""Delete a session and all its messages. Returns True if found."""
def _do(conn):
cursor = conn.execute(
"SELECT COUNT(*) FROM sessions WHERE id = ?", (session_id,)
)
if cursor.fetchone()[0] == 0:
return False
# Delete child sessions first (FK constraint)
child_ids = [r[0] for r in conn.execute(
"SELECT id FROM sessions WHERE parent_session_id = ?",
(session_id,),
).fetchall()]
for cid in child_ids:
conn.execute("DELETE FROM messages WHERE session_id = ?", (cid,))
conn.execute("DELETE FROM sessions WHERE id = ?", (cid,))
# Delete the session itself
conn.execute("DELETE FROM messages WHERE session_id = ?", (session_id,))
conn.execute("DELETE FROM sessions WHERE id = ?", (session_id,))
return True
return self._execute_write(_do)
def prune_sessions(self, older_than_days: int = 90, source: str = None) -> int:
"""Delete sessions older than N days. Returns count of deleted sessions.
Only prunes ended sessions (not active ones). Child sessions whose
parents are being pruned are deleted first to satisfy the
``parent_session_id`` foreign key constraint.
"""
Delete sessions older than N days. Returns count of deleted sessions.
Only prunes ended sessions (not active ones).
"""
cutoff = time.time() - (older_than_days * 86400)
@@ -1282,19 +1260,7 @@ class SessionDB:
"SELECT id FROM sessions WHERE started_at < ? AND ended_at IS NOT NULL",
(cutoff,),
)
session_ids = set(row["id"] for row in cursor.fetchall())
# Delete children first whose parents are in the prune set
# (avoids FK constraint errors)
for sid in list(session_ids):
child_ids = [r[0] for r in conn.execute(
"SELECT id FROM sessions WHERE parent_session_id = ?",
(sid,),
).fetchall()]
for cid in child_ids:
conn.execute("DELETE FROM messages WHERE session_id = ?", (cid,))
conn.execute("DELETE FROM sessions WHERE id = ?", (cid,))
session_ids.discard(cid) # don't double-delete
session_ids = [row["id"] for row in cursor.fetchall()]
for sid in session_ids:
conn.execute("DELETE FROM messages WHERE session_id = ?", (sid,))
+2
View File
@@ -16,6 +16,7 @@ crashes due to a bad timezone string.
import logging
import os
from datetime import datetime
from pathlib import Path
from hermes_constants import get_hermes_home
from typing import Optional
@@ -91,6 +92,7 @@ def get_timezone() -> Optional[ZoneInfo]:
def get_timezone_name() -> str:
"""Return the IANA name of the configured timezone, or empty string."""
global _cached_tz_name, _cache_resolved
if not _cache_resolved:
get_timezone() # populates cache
return _cached_tz_name or ""
+2 -1
View File
@@ -37,8 +37,9 @@ import sys
import threading
import time
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Optional
from typing import Any, Dict, List, Optional
logger = logging.getLogger("hermes.mcp_serve")
+3 -114
View File
@@ -211,7 +211,7 @@ _LEGACY_TOOLSET_MAP = {
"browser_tools": [
"browser_navigate", "browser_snapshot", "browser_click",
"browser_type", "browser_scroll", "browser_back",
"browser_press", "browser_get_images",
"browser_press", "browser_close", "browser_get_images",
"browser_vision", "browser_console"
],
"cronjob_tools": ["cronjob"],
@@ -365,103 +365,10 @@ _AGENT_LOOP_TOOLS = {"todo", "memory", "session_search", "delegate_task"}
_READ_SEARCH_TOOLS = {"read_file", "search_files"}
# =========================================================================
# Tool argument type coercion
# =========================================================================
def coerce_tool_args(tool_name: str, args: Dict[str, Any]) -> Dict[str, Any]:
"""Coerce tool call arguments to match their JSON Schema types.
LLMs frequently return numbers as strings (``"42"`` instead of ``42``)
and booleans as strings (``"true"`` instead of ``true``). This compares
each argument value against the tool's registered JSON Schema and attempts
safe coercion when the value is a string but the schema expects a different
type. Original values are preserved when coercion fails.
Handles ``"type": "integer"``, ``"type": "number"``, ``"type": "boolean"``,
and union types (``"type": ["integer", "string"]``).
"""
if not args or not isinstance(args, dict):
return args
schema = registry.get_schema(tool_name)
if not schema:
return args
properties = (schema.get("parameters") or {}).get("properties")
if not properties:
return args
for key, value in args.items():
if not isinstance(value, str):
continue
prop_schema = properties.get(key)
if not prop_schema:
continue
expected = prop_schema.get("type")
if not expected:
continue
coerced = _coerce_value(value, expected)
if coerced is not value:
args[key] = coerced
return args
def _coerce_value(value: str, expected_type):
"""Attempt to coerce a string *value* to *expected_type*.
Returns the original string when coercion is not applicable or fails.
"""
if isinstance(expected_type, list):
# Union type — try each in order, return first successful coercion
for t in expected_type:
result = _coerce_value(value, t)
if result is not value:
return result
return value
if expected_type in ("integer", "number"):
return _coerce_number(value, integer_only=(expected_type == "integer"))
if expected_type == "boolean":
return _coerce_boolean(value)
return value
def _coerce_number(value: str, integer_only: bool = False):
"""Try to parse *value* as a number. Returns original string on failure."""
try:
f = float(value)
except (ValueError, OverflowError):
return value
# Guard against inf/nan before int() conversion
if f != f or f == float("inf") or f == float("-inf"):
return f
# If it looks like an integer (no fractional part), return int
if f == int(f):
return int(f)
if integer_only:
# Schema wants an integer but value has decimals — keep as string
return value
return f
def _coerce_boolean(value: str):
"""Try to parse *value* as a boolean. Returns original string on failure."""
low = value.strip().lower()
if low == "true":
return True
if low == "false":
return False
return value
def handle_function_call(
function_name: str,
function_args: Dict[str, Any],
task_id: Optional[str] = None,
tool_call_id: Optional[str] = None,
session_id: Optional[str] = None,
user_task: Optional[str] = None,
enabled_tools: Optional[List[str]] = None,
) -> str:
@@ -481,9 +388,6 @@ def handle_function_call(
Returns:
Function result as a JSON string.
"""
# Coerce string arguments to their schema-declared types (e.g. "42"→42)
function_args = coerce_tool_args(function_name, function_args)
# Notify the read-loop tracker when a non-read/search tool runs,
# so the *consecutive* counter resets (reads after other work are fine).
if function_name not in _READ_SEARCH_TOOLS:
@@ -499,14 +403,7 @@ def handle_function_call(
try:
from hermes_cli.plugins import invoke_hook
invoke_hook(
"pre_tool_call",
tool_name=function_name,
args=function_args,
task_id=task_id or "",
session_id=session_id or "",
tool_call_id=tool_call_id or "",
)
invoke_hook("pre_tool_call", tool_name=function_name, args=function_args, task_id=task_id or "")
except Exception:
pass
@@ -528,15 +425,7 @@ def handle_function_call(
try:
from hermes_cli.plugins import invoke_hook
invoke_hook(
"post_tool_call",
tool_name=function_name,
args=function_args,
result=result,
task_id=task_id or "",
session_id=session_id or "",
tool_call_id=tool_call_id or "",
)
invoke_hook("post_tool_call", tool_name=function_name, args=function_args, result=result, task_id=task_id or "")
except Exception:
pass
+1 -1
View File
@@ -561,7 +561,7 @@
# ── Activation: link config + auth + documents ────────────────────
{
system.activationScripts."hermes-agent-setup" = lib.stringAfter [ "users" "setupSecrets" ] ''
system.activationScripts."hermes-agent-setup" = lib.stringAfter [ "users" ] ''
# Ensure directories exist (activation runs before tmpfiles)
mkdir -p ${cfg.stateDir}/.hermes
mkdir -p ${cfg.stateDir}/home
+1 -1
View File
@@ -21,7 +21,7 @@
in {
packages.default = pkgs.stdenv.mkDerivation {
pname = "hermes-agent";
version = (builtins.fromTOML (builtins.readFile ../pyproject.toml)).project.version;
version = "0.1.0";
dontUnpack = true;
dontBuild = true;
@@ -1,243 +0,0 @@
---
name: honcho
description: Configure and use Honcho memory with Hermes -- cross-session user modeling, multi-profile peer isolation, observation config, and dialectic reasoning. Use when setting up Honcho, troubleshooting memory, managing profiles with Honcho peers, or tuning observation and recall settings.
version: 1.0.0
author: Hermes Agent
license: MIT
metadata:
hermes:
tags: [Honcho, Memory, Profiles, Observation, Dialectic, User-Modeling]
homepage: https://docs.honcho.dev
related_skills: [hermes-agent]
prerequisites:
pip: [honcho-ai]
---
# Honcho Memory for Hermes
Honcho provides AI-native cross-session user modeling. It learns who the user is across conversations and gives every Hermes profile its own peer identity while sharing a unified view of the user.
## When to Use
- Setting up Honcho (cloud or self-hosted)
- Troubleshooting memory not working / peers not syncing
- Creating multi-profile setups where each agent has its own Honcho peer
- Tuning observation, recall, or write frequency settings
- Understanding what the 4 Honcho tools do and when to use them
## Setup
### Cloud (app.honcho.dev)
```bash
hermes honcho setup
# select "cloud", paste API key from https://app.honcho.dev
```
### Self-hosted
```bash
hermes honcho setup
# select "local", enter base URL (e.g. http://localhost:8000)
```
See: https://docs.honcho.dev/v3/guides/integrations/hermes#running-honcho-locally-with-hermes
### Verify
```bash
hermes honcho status # shows resolved config, connection test, peer info
```
## Architecture
### Peers
Honcho models conversations as interactions between **peers**. Hermes creates two peers per session:
- **User peer** (`peerName`): represents the human. Honcho builds a user representation from observed messages.
- **AI peer** (`aiPeer`): represents this Hermes instance. Each profile gets its own AI peer so agents develop independent views.
### Observation
Each peer has two observation toggles that control what Honcho learns from:
| Toggle | What it does |
|--------|-------------|
| `observeMe` | Peer's own messages are observed (builds self-representation) |
| `observeOthers` | Other peers' messages are observed (builds cross-peer understanding) |
Default: all four toggles **on** (full bidirectional observation).
Configure per-peer in `honcho.json`:
```json
{
"observation": {
"user": { "observeMe": true, "observeOthers": true },
"ai": { "observeMe": true, "observeOthers": true }
}
}
```
Or use the shorthand presets:
| Preset | User | AI | Use case |
|--------|------|----|----------|
| `"directional"` (default) | me:on, others:on | me:on, others:on | Multi-agent, full memory |
| `"unified"` | me:on, others:off | me:off, others:on | Single agent, user-only modeling |
Settings changed in the [Honcho dashboard](https://app.honcho.dev) are synced back on session init -- server-side config wins over local defaults.
### Sessions
Honcho sessions scope where messages and observations land. Strategy options:
| Strategy | Behavior |
|----------|----------|
| `per-directory` (default) | One session per working directory |
| `per-repo` | One session per git repository root |
| `per-session` | New Honcho session each Hermes run |
| `global` | Single session across all directories |
Manual override: `hermes honcho map my-project-name`
### Recall Modes
How the agent accesses Honcho memory:
| Mode | Auto-inject context? | Tools available? | Use case |
|------|---------------------|-----------------|----------|
| `hybrid` (default) | Yes | Yes | Agent decides when to use tools vs auto context |
| `context` | Yes | No (hidden) | Minimal token cost, no tool calls |
| `tools` | No | Yes | Agent controls all memory access explicitly |
## Multi-Profile Setup
Each Hermes profile gets its own Honcho AI peer while sharing the same workspace (user context). This means:
- All profiles see the same user representation
- Each profile builds its own AI identity and observations
- Conclusions written by one profile are visible to others via the shared workspace
### Create a profile with Honcho peer
```bash
hermes profile create coder --clone
# creates host block hermes.coder, AI peer "coder", inherits config from default
```
What `--clone` does for Honcho:
1. Creates a `hermes.coder` host block in `honcho.json`
2. Sets `aiPeer: "coder"` (the profile name)
3. Inherits `workspace`, `peerName`, `writeFrequency`, `recallMode`, etc. from default
4. Eagerly creates the peer in Honcho so it exists before first message
### Backfill existing profiles
```bash
hermes honcho sync # creates host blocks for all profiles that don't have one yet
```
### Per-profile config
Override any setting in the host block:
```json
{
"hosts": {
"hermes.coder": {
"aiPeer": "coder",
"recallMode": "tools",
"observation": {
"user": { "observeMe": true, "observeOthers": false },
"ai": { "observeMe": true, "observeOthers": true }
}
}
}
}
```
## Tools
The agent has 4 Honcho tools (hidden in `context` recall mode):
### `honcho_profile`
Quick factual snapshot of the user -- name, role, preferences, patterns. No LLM call, minimal cost. Use at conversation start or for fast lookups.
### `honcho_search`
Semantic search over stored context. Returns raw excerpts ranked by relevance, no LLM synthesis. Default 800 tokens, max 2000. Use when you want specific past facts to reason over yourself.
### `honcho_context`
Natural language question answered by Honcho's dialectic reasoning (LLM call on Honcho's backend). Higher cost, higher quality. Can query about user (default) or the AI peer.
### `honcho_conclude`
Write a persistent fact about the user. Conclusions build the user's profile over time. Use when the user states a preference, corrects you, or shares something to remember.
## Config Reference
Config file: `$HERMES_HOME/honcho.json` (profile-local) or `~/.honcho/config.json` (global).
### Key settings
| Key | Default | Description |
|-----|---------|-------------|
| `apiKey` | -- | API key ([get one](https://app.honcho.dev)) |
| `baseUrl` | -- | Base URL for self-hosted Honcho |
| `peerName` | -- | User peer identity |
| `aiPeer` | host key | AI peer identity |
| `workspace` | host key | Shared workspace ID |
| `recallMode` | `hybrid` | `hybrid`, `context`, or `tools` |
| `observation` | all on | Per-peer `observeMe`/`observeOthers` booleans |
| `writeFrequency` | `async` | `async`, `turn`, `session`, or integer N |
| `sessionStrategy` | `per-directory` | `per-directory`, `per-repo`, `per-session`, `global` |
| `dialecticReasoningLevel` | `low` | `minimal`, `low`, `medium`, `high`, `max` |
| `dialecticDynamic` | `true` | Auto-bump reasoning by query length. `false` = fixed level |
| `messageMaxChars` | `25000` | Max chars per message (chunked if exceeded) |
| `dialecticMaxInputChars` | `10000` | Max chars for dialectic query input |
### Cost-awareness (advanced, root config only)
| Key | Default | Description |
|-----|---------|-------------|
| `injectionFrequency` | `every-turn` | `every-turn` or `first-turn` |
| `contextCadence` | `1` | Min turns between context API calls |
| `dialecticCadence` | `1` | Min turns between dialectic API calls |
## Troubleshooting
### "Honcho not configured"
Run `hermes honcho setup`. Ensure `memory.provider: honcho` is in `~/.hermes/config.yaml`.
### Memory not persisting across sessions
Check `hermes honcho status` -- verify `saveMessages: true` and `writeFrequency` isn't `session` (which only writes on exit).
### Profile not getting its own peer
Use `--clone` when creating: `hermes profile create <name> --clone`. For existing profiles: `hermes honcho sync`.
### Observation changes in dashboard not reflected
Observation config is synced from the server on each session init. Start a new session after changing settings in the Honcho UI.
### Messages truncated
Messages over `messageMaxChars` (default 25k) are automatically chunked with `[continued]` markers. If you're hitting this often, check if tool results or skill content is inflating message size.
## CLI Commands
| Command | Description |
|---------|-------------|
| `hermes honcho setup` | Interactive setup wizard (cloud/local, identity, observation, recall, sessions) |
| `hermes honcho status` | Show resolved config, connection test, peer info for active profile |
| `hermes honcho enable` | Enable Honcho for the active profile (creates host block if needed) |
| `hermes honcho disable` | Disable Honcho for the active profile |
| `hermes honcho peer` | Show or update peer names (`--user <name>`, `--ai <name>`, `--reasoning <level>`) |
| `hermes honcho peers` | Show peer identities across all profiles |
| `hermes honcho mode` | Show or set recall mode (`hybrid`, `context`, `tools`) |
| `hermes honcho tokens` | Show or set token budgets (`--context <N>`, `--dialectic <N>`) |
| `hermes honcho sessions` | List known directory-to-session-name mappings |
| `hermes honcho map <name>` | Map current working directory to a Honcho session name |
| `hermes honcho identity` | Seed AI peer identity or show both peer representations |
| `hermes honcho sync` | Create host blocks for all Hermes profiles that don't have one yet |
| `hermes honcho migrate` | Step-by-step migration guide from OpenClaw native memory to Hermes + Honcho |
| `hermes memory setup` | Generic memory provider picker (selecting "honcho" runs the same wizard) |
| `hermes memory status` | Show active memory provider and config |
| `hermes memory off` | Disable external memory provider |
@@ -1,213 +0,0 @@
---
name: gitnexus-explorer
description: Index a codebase with GitNexus and serve an interactive knowledge graph via web UI + Cloudflare tunnel.
version: 1.0.0
author: Hermes Agent + Teknium
license: MIT
metadata:
hermes:
tags: [gitnexus, code-intelligence, knowledge-graph, visualization]
related_skills: [native-mcp, codebase-inspection]
---
# GitNexus Explorer
Index any codebase into a knowledge graph and serve an interactive web UI for exploring
symbols, call chains, clusters, and execution flows. Tunneled via Cloudflare for remote access.
## When to Use
- User wants to visually explore a codebase's architecture
- User asks for a knowledge graph / dependency graph of a repo
- User wants to share an interactive codebase explorer with someone
## Prerequisites
- **Node.js** (v18+) — required for GitNexus and the proxy
- **git** — repo must have a `.git` directory
- **cloudflared** — for tunneling (auto-installed to ~/.local/bin if missing)
## Size Warning
The web UI renders all nodes in the browser. Repos under ~5,000 files work well. Large
repos (30k+ nodes) will be sluggish or crash the browser tab. The CLI/MCP tools work
at any scale — only the web visualization has this limit.
## Steps
### 1. Clone and Build GitNexus (one-time setup)
```bash
GITNEXUS_DIR="${GITNEXUS_DIR:-$HOME/.local/share/gitnexus}"
if [ ! -d "$GITNEXUS_DIR/gitnexus-web/dist" ]; then
git clone https://github.com/abhigyanpatwari/GitNexus.git "$GITNEXUS_DIR"
cd "$GITNEXUS_DIR/gitnexus-shared" && npm install && npm run build
cd "$GITNEXUS_DIR/gitnexus-web" && npm install
fi
```
### 2. Patch the Web UI for Remote Access
The web UI defaults to `localhost:4747` for API calls. Patch it to use same-origin
so it works through a tunnel/proxy:
**File: `$GITNEXUS_DIR/gitnexus-web/src/config/ui-constants.ts`**
Change:
```typescript
export const DEFAULT_BACKEND_URL = 'http://localhost:4747';
```
To:
```typescript
export const DEFAULT_BACKEND_URL = typeof window !== 'undefined' && window.location.hostname !== 'localhost' ? window.location.origin : 'http://localhost:4747';
```
**File: `$GITNEXUS_DIR/gitnexus-web/vite.config.ts`**
Add `allowedHosts: true` inside the `server: { }` block (only needed if running dev
mode instead of production build):
```typescript
server: {
allowedHosts: true,
// ... existing config
},
```
Then build the production bundle:
```bash
cd "$GITNEXUS_DIR/gitnexus-web" && npx vite build
```
### 3. Index the Target Repo
```bash
cd /path/to/target-repo
npx gitnexus analyze --skip-agents-md
rm -rf .claude/ # remove Claude Code-specific artifacts
```
Add `--embeddings` for semantic search (slower — minutes instead of seconds).
The index lives in `.gitnexus/` inside the repo (auto-gitignored).
### 4. Create the Proxy Script
Write this to a file (e.g., `$GITNEXUS_DIR/proxy.mjs`). It serves the production
web UI and proxies `/api/*` to the GitNexus backend — same origin, no CORS issues,
no sudo, no nginx.
```javascript
import http from 'node:http';
import fs from 'node:fs';
import path from 'node:path';
const API_PORT = parseInt(process.env.API_PORT || '4747');
const DIST_DIR = process.argv[2] || './dist';
const PORT = parseInt(process.argv[3] || '8888');
const MIME = {
'.html': 'text/html', '.js': 'application/javascript', '.css': 'text/css',
'.json': 'application/json', '.png': 'image/png', '.svg': 'image/svg+xml',
'.ico': 'image/x-icon', '.woff2': 'font/woff2', '.woff': 'font/woff',
'.wasm': 'application/wasm',
};
function proxyToApi(req, res) {
const opts = {
hostname: '127.0.0.1', port: API_PORT,
path: req.url, method: req.method, headers: req.headers,
};
const proxy = http.request(opts, (upstream) => {
res.writeHead(upstream.statusCode, upstream.headers);
upstream.pipe(res, { end: true });
});
proxy.on('error', () => { res.writeHead(502); res.end('Backend unavailable'); });
req.pipe(proxy, { end: true });
}
function serveStatic(req, res) {
let filePath = path.join(DIST_DIR, req.url === '/' ? 'index.html' : req.url.split('?')[0]);
if (!fs.existsSync(filePath)) filePath = path.join(DIST_DIR, 'index.html');
const ext = path.extname(filePath);
const mime = MIME[ext] || 'application/octet-stream';
try {
const data = fs.readFileSync(filePath);
res.writeHead(200, { 'Content-Type': mime, 'Cache-Control': 'public, max-age=3600' });
res.end(data);
} catch { res.writeHead(404); res.end('Not found'); }
}
http.createServer((req, res) => {
if (req.url.startsWith('/api')) proxyToApi(req, res);
else serveStatic(req, res);
}).listen(PORT, () => console.log(`GitNexus proxy on http://localhost:${PORT}`));
```
### 5. Start the Services
```bash
# Terminal 1: GitNexus backend API
npx gitnexus serve &
# Terminal 2: Proxy (web UI + API on one port)
node "$GITNEXUS_DIR/proxy.mjs" "$GITNEXUS_DIR/gitnexus-web/dist" 8888 &
```
Verify: `curl -s http://localhost:8888/api/repos` should return the indexed repo(s).
### 6. Tunnel with Cloudflare (optional — for remote access)
```bash
# Install cloudflared if needed (no sudo)
if ! command -v cloudflared &>/dev/null; then
mkdir -p ~/.local/bin
curl -sL https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 \
-o ~/.local/bin/cloudflared
chmod +x ~/.local/bin/cloudflared
export PATH="$HOME/.local/bin:$PATH"
fi
# Start tunnel (--config /dev/null avoids conflicts with existing named tunnels)
cloudflared tunnel --config /dev/null --url http://localhost:8888 --no-autoupdate --protocol http2
```
The tunnel URL (e.g., `https://random-words.trycloudflare.com`) is printed to stderr.
Share it — anyone with the link can explore the graph.
### 7. Cleanup
```bash
# Stop services
pkill -f "gitnexus serve"
pkill -f "proxy.mjs"
pkill -f cloudflared
# Remove index from the target repo
cd /path/to/target-repo
npx gitnexus clean
rm -rf .claude/
```
## Pitfalls
- **`--config /dev/null` is required for cloudflared** if the user has an existing
named tunnel config at `~/.cloudflared/config.yml`. Without it, the catch-all
ingress rule in the config returns 404 for all quick tunnel requests.
- **Production build is mandatory for tunneling.** The Vite dev server blocks
non-localhost hosts by default (`allowedHosts`). The production build + Node
proxy avoids this entirely.
- **The web UI does NOT create `.claude/` or `CLAUDE.md`.** Those are created by
`npx gitnexus analyze`. Use `--skip-agents-md` to suppress the markdown files,
then `rm -rf .claude/` for the rest. These are Claude Code integrations that
hermes-agent users don't need.
- **Browser memory limit.** The web UI loads the entire graph into browser memory.
Repos with 5k+ files may be sluggish. 30k+ files will likely crash the tab.
- **Embeddings are optional.** `--embeddings` enables semantic search but takes
minutes on large repos. Skip it for quick exploration; add it if you want
natural language queries via the AI chat panel.
- **Multiple repos.** `gitnexus serve` serves ALL indexed repos. Index several
repos, start serve once, and the web UI lets you switch between them.
@@ -1,92 +0,0 @@
/**
* GitNexus reverse proxy serves production web UI + proxies /api/* to backend.
* Zero dependencies, Node.js built-ins only.
*
* Usage: node proxy.mjs <dist-dir> [port]
* dist-dir: path to gitnexus-web/dist (production build)
* port: listen port (default: 8888)
*
* Environment:
* API_PORT: GitNexus serve backend port (default: 4747)
*/
import http from 'node:http';
import fs from 'node:fs';
import path from 'node:path';
const API_PORT = parseInt(process.env.API_PORT || '4747');
const DIST_DIR = process.argv[2] || './dist';
const PORT = parseInt(process.argv[3] || '8888');
const MIME = {
'.html': 'text/html',
'.js': 'application/javascript',
'.css': 'text/css',
'.json': 'application/json',
'.png': 'image/png',
'.svg': 'image/svg+xml',
'.ico': 'image/x-icon',
'.woff2': 'font/woff2',
'.woff': 'font/woff',
'.wasm': 'application/wasm',
'.ttf': 'font/ttf',
'.map': 'application/json',
};
function proxyToApi(req, res) {
const opts = {
hostname: '127.0.0.1',
port: API_PORT,
path: req.url,
method: req.method,
headers: { ...req.headers, host: `127.0.0.1:${API_PORT}` },
};
const proxy = http.request(opts, (upstream) => {
res.writeHead(upstream.statusCode, upstream.headers);
upstream.pipe(res, { end: true });
});
proxy.on('error', () => {
res.writeHead(502, { 'Content-Type': 'text/plain' });
res.end('GitNexus backend unavailable — is `npx gitnexus serve` running?');
});
req.pipe(proxy, { end: true });
}
function serveStatic(req, res) {
const urlPath = req.url.split('?')[0];
let filePath = path.join(DIST_DIR, urlPath === '/' ? 'index.html' : urlPath);
// SPA fallback: if file doesn't exist and isn't a static asset, serve index.html
if (!fs.existsSync(filePath) && !path.extname(filePath)) {
filePath = path.join(DIST_DIR, 'index.html');
}
const ext = path.extname(filePath);
const mime = MIME[ext] || 'application/octet-stream';
try {
const data = fs.readFileSync(filePath);
res.writeHead(200, {
'Content-Type': mime,
'Cache-Control': ext === '.html' ? 'no-cache' : 'public, max-age=86400',
});
res.end(data);
} catch {
res.writeHead(404, { 'Content-Type': 'text/plain' });
res.end('Not found');
}
}
const server = http.createServer((req, res) => {
if (req.url.startsWith('/api')) {
proxyToApi(req, res);
} else {
serveStatic(req, res);
}
});
server.listen(PORT, () => {
console.log(`GitNexus proxy listening on http://localhost:${PORT}`);
console.log(` Web UI: http://localhost:${PORT}/`);
console.log(` API: http://localhost:${PORT}/api/repos`);
console.log(` Backend: http://127.0.0.1:${API_PORT}`);
});
-104
View File
@@ -211,107 +211,3 @@ class _ProviderCollector:
def register_hook(self, *args, **kwargs):
pass
def register_cli_command(self, *args, **kwargs):
pass # CLI registration happens via discover_plugin_cli_commands()
def _get_active_memory_provider() -> Optional[str]:
"""Read the active memory provider name from config.yaml.
Returns the provider name (e.g. ``"honcho"``) or None if no
external provider is configured. Lightweight only reads config,
no plugin loading.
"""
try:
from hermes_cli.config import load_config
config = load_config()
return config.get("memory", {}).get("provider") or None
except Exception:
return None
def discover_plugin_cli_commands() -> List[dict]:
"""Return CLI commands for the **active** memory plugin only.
Only one memory provider can be active at a time (set via
``memory.provider`` in config.yaml). This function reads that
value and only loads CLI registration for the matching plugin.
If no provider is active, no commands are registered.
Looks for a ``register_cli(subparser)`` function in the active
plugin's ``cli.py``. Returns a list of at most one dict with
keys: ``name``, ``help``, ``description``, ``setup_fn``,
``handler_fn``.
This is a lightweight scan it only imports ``cli.py``, not the
full plugin module. Safe to call during argparse setup before
any provider is loaded.
"""
results: List[dict] = []
if not _MEMORY_PLUGINS_DIR.is_dir():
return results
active_provider = _get_active_memory_provider()
if not active_provider:
return results
# Only look at the active provider's directory
plugin_dir = _MEMORY_PLUGINS_DIR / active_provider
if not plugin_dir.is_dir():
return results
cli_file = plugin_dir / "cli.py"
if not cli_file.exists():
return results
module_name = f"plugins.memory.{active_provider}.cli"
try:
# Import the CLI module (lightweight — no SDK needed)
if module_name in sys.modules:
cli_mod = sys.modules[module_name]
else:
spec = importlib.util.spec_from_file_location(
module_name, str(cli_file)
)
if not spec or not spec.loader:
return results
cli_mod = importlib.util.module_from_spec(spec)
sys.modules[module_name] = cli_mod
spec.loader.exec_module(cli_mod)
register_cli = getattr(cli_mod, "register_cli", None)
if not callable(register_cli):
return results
# Read metadata from plugin.yaml if available
help_text = f"Manage {active_provider} memory plugin"
description = ""
yaml_file = plugin_dir / "plugin.yaml"
if yaml_file.exists():
try:
import yaml
with open(yaml_file) as f:
meta = yaml.safe_load(f) or {}
desc = meta.get("description", "")
if desc:
help_text = desc
description = desc
except Exception:
pass
handler_fn = getattr(cli_mod, f"{active_provider}_command", None) or \
getattr(cli_mod, "honcho_command", None)
results.append({
"name": active_provider,
"help": help_text,
"description": description,
"setup_fn": register_cli,
"handler_fn": handler_fn,
"plugin": active_provider,
})
except Exception as e:
logger.debug("Failed to scan CLI for memory plugin '%s': %s", active_provider, e)
return results
+7 -7
View File
@@ -23,11 +23,11 @@ import os
import shutil
import subprocess
import threading
import time
from pathlib import Path
from typing import Any, Dict, List, Optional
from agent.memory_provider import MemoryProvider
from tools.registry import tool_error
logger = logging.getLogger(__name__)
@@ -321,7 +321,7 @@ class ByteRoverMemoryProvider(MemoryProvider):
return self._tool_curate(args)
elif tool_name == "brv_status":
return self._tool_status()
return tool_error(f"Unknown tool: {tool_name}")
return json.dumps({"error": f"Unknown tool: {tool_name}"})
def shutdown(self) -> None:
if self._sync_thread and self._sync_thread.is_alive():
@@ -332,7 +332,7 @@ class ByteRoverMemoryProvider(MemoryProvider):
def _tool_query(self, args: dict) -> str:
query = args.get("query", "")
if not query:
return tool_error("query is required")
return json.dumps({"error": "query is required"})
result = _run_brv(
["query", "--", query.strip()[:5000]],
@@ -340,7 +340,7 @@ class ByteRoverMemoryProvider(MemoryProvider):
)
if not result["success"]:
return tool_error(result.get("error", "Query failed"))
return json.dumps({"error": result.get("error", "Query failed")})
output = result.get("output", "").strip()
if not output or len(output) < _MIN_OUTPUT_LEN:
@@ -355,7 +355,7 @@ class ByteRoverMemoryProvider(MemoryProvider):
def _tool_curate(self, args: dict) -> str:
content = args.get("content", "")
if not content:
return tool_error("content is required")
return json.dumps({"error": "content is required"})
result = _run_brv(
["curate", "--", content],
@@ -363,14 +363,14 @@ class ByteRoverMemoryProvider(MemoryProvider):
)
if not result["success"]:
return tool_error(result.get("error", "Curate failed"))
return json.dumps({"error": result.get("error", "Curate failed")})
return json.dumps({"result": "Memory curated successfully."})
def _tool_status(self) -> str:
result = _run_brv(["status"], timeout=15, cwd=self._cwd)
if not result["success"]:
return tool_error(result.get("error", "Status check failed"))
return json.dumps({"error": result.get("error", "Status check failed")})
return json.dumps({"status": result.get("output", "")})
+7 -67
View File
@@ -1,11 +1,11 @@
# Hindsight Memory Provider
Long-term memory with knowledge graph, entity resolution, and multi-strategy retrieval. Supports cloud and local (embedded) modes.
Long-term memory with knowledge graph, entity resolution, and multi-strategy retrieval. Supports cloud and local modes.
## Requirements
- **Cloud:** API key from [ui.hindsight.vectorize.io](https://ui.hindsight.vectorize.io)
- **Local:** API key for a supported LLM provider (OpenAI, Anthropic, Gemini, Groq, MiniMax, or Ollama). Embeddings and reranking run locally — no additional API keys needed.
- Cloud: `pip install hindsight-client` + API key from [app.hindsight.vectorize.io](https://app.hindsight.vectorize.io)
- Local: `pip install hindsight` + LLM API key for embeddings
## Setup
@@ -13,86 +13,26 @@ Long-term memory with knowledge graph, entity resolution, and multi-strategy ret
hermes memory setup # select "hindsight"
```
The setup wizard will install dependencies automatically via `uv` and walk you through configuration.
Or manually (cloud mode with defaults):
Or manually:
```bash
hermes config set memory.provider hindsight
echo "HINDSIGHT_API_KEY=your-key" >> ~/.hermes/.env
```
### Cloud Mode
Connects to the Hindsight Cloud API. Requires an API key from [ui.hindsight.vectorize.io](https://ui.hindsight.vectorize.io).
### Local Mode
Runs an embedded Hindsight server with built-in PostgreSQL. Requires an LLM API key (e.g. Groq, OpenAI, Anthropic) for memory extraction and synthesis. The daemon starts automatically in the background on first use and stops after 5 minutes of inactivity.
Daemon startup logs: `~/.hermes/logs/hindsight-embed.log`
Daemon runtime logs: `~/.hindsight/profiles/<profile>.log`
## Config
Config file: `~/.hermes/hindsight/config.json`
### Connection
Config file: `$HERMES_HOME/hindsight/config.json` (or `~/.hindsight/config.json` legacy)
| Key | Default | Description |
|-----|---------|-------------|
| `mode` | `cloud` | `cloud` or `local` |
| `api_url` | `https://api.hindsight.vectorize.io` | API URL (cloud mode) |
| `api_url` | `http://localhost:8888` | API URL (local mode, unused — daemon manages its own port) |
### Memory
| Key | Default | Description |
|-----|---------|-------------|
| `bank_id` | `hermes` | Memory bank name |
| `budget` | `mid` | Recall thoroughness: `low` / `mid` / `high` |
### Integration
| Key | Default | Description |
|-----|---------|-------------|
| `memory_mode` | `hybrid` | How memories are integrated into the agent |
| `prefetch_method` | `recall` | Method for automatic context injection |
**memory_mode:**
- `hybrid` — automatic context injection + tools available to the LLM
- `context` — automatic injection only, no tools exposed
- `tools` — tools only, no automatic injection
**prefetch_method:**
- `recall` — injects raw memory facts (fast)
- `reflect` — injects LLM-synthesized summary (slower, more coherent)
### Local Mode LLM
| Key | Default | Description |
|-----|---------|-------------|
| `llm_provider` | `openai` | LLM provider: `openai`, `anthropic`, `gemini`, `groq`, `minimax`, `ollama` |
| `llm_model` | per-provider | Model name (e.g. `gpt-4o-mini`, `openai/gpt-oss-120b`) |
The LLM API key is stored in `~/.hermes/.env` as `HINDSIGHT_LLM_API_KEY`.
| `bank_id` | `hermes` | Memory bank identifier |
| `budget` | `mid` | Recall thoroughness: `low`/`mid`/`high` |
## Tools
Available in `hybrid` and `tools` memory modes:
| Tool | Description |
|------|-------------|
| `hindsight_retain` | Store information with auto entity extraction |
| `hindsight_recall` | Multi-strategy search (semantic + entity graph) |
| `hindsight_reflect` | Cross-memory synthesis (LLM-powered) |
## Environment Variables
| Variable | Description |
|----------|-------------|
| `HINDSIGHT_API_KEY` | API key for Hindsight Cloud |
| `HINDSIGHT_LLM_API_KEY` | LLM API key for local mode |
| `HINDSIGHT_API_URL` | Override API endpoint |
| `HINDSIGHT_BANK_ID` | Override bank name |
| `HINDSIGHT_BUDGET` | Override recall budget |
| `HINDSIGHT_MODE` | Override mode (`cloud` / `local`) |
+79 -236
View File
@@ -1,7 +1,7 @@
"""Hindsight memory plugin — MemoryProvider interface.
Long-term memory with knowledge graph, entity resolution, and multi-strategy
retrieval. Supports cloud (API key) and local modes.
retrieval. Supports cloud (API key) and local (embedded PostgreSQL) modes.
Original PR #1811 by benfrank241, adapted to MemoryProvider ABC.
@@ -18,64 +18,42 @@ Or via $HERMES_HOME/hindsight/config.json (profile-scoped), falling back to
from __future__ import annotations
import asyncio
import json
import logging
import os
import queue
import threading
from typing import Any, Dict, List
from agent.memory_provider import MemoryProvider
from tools.registry import tool_error
logger = logging.getLogger(__name__)
_DEFAULT_API_URL = "https://api.hindsight.vectorize.io"
_DEFAULT_LOCAL_URL = "http://localhost:8888"
_VALID_BUDGETS = {"low", "mid", "high"}
_PROVIDER_DEFAULT_MODELS = {
"openai": "gpt-4o-mini",
"anthropic": "claude-haiku-4-5",
"gemini": "gemini-2.5-flash",
"groq": "openai/gpt-oss-120b",
"minimax": "MiniMax-M2.7",
"ollama": "gemma3:12b",
"lmstudio": "local-model",
}
# ---------------------------------------------------------------------------
# Dedicated event loop for Hindsight async calls (one per process, reused).
# Avoids creating ephemeral loops that leak aiohttp sessions.
# Thread helper (from original PR — avoids aiohttp event loop conflicts)
# ---------------------------------------------------------------------------
_loop: asyncio.AbstractEventLoop | None = None
_loop_thread: threading.Thread | None = None
_loop_lock = threading.Lock()
def _run_in_thread(fn, timeout: float = 30.0):
result_q: queue.Queue = queue.Queue(maxsize=1)
def _run():
import asyncio
asyncio.set_event_loop(None)
try:
result_q.put(("ok", fn()))
except Exception as exc:
result_q.put(("err", exc))
def _get_loop() -> asyncio.AbstractEventLoop:
"""Return a long-lived event loop running on a background thread."""
global _loop, _loop_thread
with _loop_lock:
if _loop is not None and _loop.is_running():
return _loop
_loop = asyncio.new_event_loop()
def _run():
asyncio.set_event_loop(_loop)
_loop.run_forever()
_loop_thread = threading.Thread(target=_run, daemon=True, name="hindsight-loop")
_loop_thread.start()
return _loop
def _run_sync(coro, timeout: float = 120.0):
"""Schedule *coro* on the shared loop and block until done."""
loop = _get_loop()
future = asyncio.run_coroutine_threadsafe(coro, loop)
return future.result(timeout=timeout)
t = threading.Thread(target=_run, daemon=True, name="hindsight-call")
t.start()
kind, value = result_q.get(timeout=timeout)
if kind == "err":
raise value
return value
# ---------------------------------------------------------------------------
@@ -183,13 +161,9 @@ class HindsightMemoryProvider(MemoryProvider):
def __init__(self):
self._config = None
self._api_key = None
self._api_url = _DEFAULT_API_URL
self._bank_id = "hermes"
self._budget = "mid"
self._mode = "cloud"
self._memory_mode = "hybrid" # "context", "tools", or "hybrid"
self._prefetch_method = "recall" # "recall" or "reflect"
self._client = None
self._prefetch_result = ""
self._prefetch_lock = threading.Lock()
self._prefetch_thread = None
@@ -204,10 +178,10 @@ class HindsightMemoryProvider(MemoryProvider):
cfg = _load_config()
mode = cfg.get("mode", "cloud")
if mode == "local":
return True
has_key = bool(cfg.get("apiKey") or os.environ.get("HINDSIGHT_API_KEY", ""))
has_url = bool(cfg.get("api_url") or os.environ.get("HINDSIGHT_API_URL", ""))
return has_key or has_url
embed = cfg.get("embed", {})
return bool(embed.get("llmApiKey") or os.environ.get("HINDSIGHT_LLM_API_KEY"))
api_key = cfg.get("apiKey") or os.environ.get("HINDSIGHT_API_KEY", "")
return bool(api_key)
except Exception:
return False
@@ -230,147 +204,49 @@ class HindsightMemoryProvider(MemoryProvider):
def get_config_schema(self):
return [
{"key": "mode", "description": "Cloud API or local embedded mode", "default": "cloud", "choices": ["cloud", "local"]},
{"key": "api_url", "description": "Hindsight API URL", "default": _DEFAULT_API_URL, "when": {"mode": "cloud"}},
{"key": "api_key", "description": "Hindsight Cloud API key", "secret": True, "env_var": "HINDSIGHT_API_KEY", "url": "https://ui.hindsight.vectorize.io", "when": {"mode": "cloud"}},
{"key": "llm_provider", "description": "LLM provider for local mode", "default": "openai", "choices": ["openai", "anthropic", "gemini", "groq", "minimax", "ollama"], "when": {"mode": "local"}},
{"key": "llm_api_key", "description": "LLM API key for local Hindsight", "secret": True, "env_var": "HINDSIGHT_LLM_API_KEY", "when": {"mode": "local"}},
{"key": "llm_model", "description": "LLM model for local mode", "default": "gpt-4o-mini", "default_from": {"field": "llm_provider", "map": _PROVIDER_DEFAULT_MODELS}, "when": {"mode": "local"}},
{"key": "bank_id", "description": "Memory bank name", "default": "hermes"},
{"key": "api_key", "description": "Hindsight Cloud API key", "secret": True, "env_var": "HINDSIGHT_API_KEY", "url": "https://app.hindsight.vectorize.io"},
{"key": "bank_id", "description": "Memory bank identifier", "default": "hermes"},
{"key": "budget", "description": "Recall thoroughness", "default": "mid", "choices": ["low", "mid", "high"]},
{"key": "memory_mode", "description": "Memory integration mode", "default": "hybrid", "choices": ["hybrid", "context", "tools"]},
{"key": "prefetch_method", "description": "Auto-recall method", "default": "recall", "choices": ["recall", "reflect"]},
{"key": "llm_provider", "description": "LLM provider for local mode", "default": "anthropic", "choices": ["anthropic", "openai", "groq", "ollama"]},
{"key": "llm_api_key", "description": "LLM API key for local mode", "secret": True, "env_var": "HINDSIGHT_LLM_API_KEY"},
{"key": "llm_model", "description": "LLM model for local mode", "default": "claude-haiku-4-5-20251001"},
]
def _get_client(self):
"""Return the cached Hindsight client (created once, reused)."""
if self._client is None:
if self._mode == "local":
from hindsight import HindsightEmbedded
# Disable __del__ on the class to prevent "attached to a
# different loop" errors during GC — we handle cleanup in
# shutdown() instead.
HindsightEmbedded.__del__ = lambda self: None
self._client = HindsightEmbedded(
profile=self._config.get("profile", "hermes"),
llm_provider=self._config.get("llm_provider", ""),
llm_api_key=self._config.get("llmApiKey") or os.environ.get("HINDSIGHT_LLM_API_KEY", ""),
llm_model=self._config.get("llm_model", ""),
)
else:
from hindsight_client import Hindsight
kwargs = {"base_url": self._api_url, "timeout": 30.0}
if self._api_key:
kwargs["api_key"] = self._api_key
self._client = Hindsight(**kwargs)
return self._client
def _make_client(self):
"""Create a fresh Hindsight client (thread-safe)."""
if self._mode == "local":
from hindsight import HindsightEmbedded
embed = self._config.get("embed", {})
return HindsightEmbedded(
profile=embed.get("profile", "hermes"),
llm_provider=embed.get("llmProvider", ""),
llm_api_key=embed.get("llmApiKey", ""),
llm_model=embed.get("llmModel", ""),
)
from hindsight_client import Hindsight
return Hindsight(api_key=self._api_key, timeout=30.0)
def initialize(self, session_id: str, **kwargs) -> None:
self._config = _load_config()
self._mode = self._config.get("mode", "cloud")
self._api_key = self._config.get("apiKey") or os.environ.get("HINDSIGHT_API_KEY", "")
default_url = _DEFAULT_LOCAL_URL if self._mode == "local" else _DEFAULT_API_URL
self._api_url = self._config.get("api_url") or os.environ.get("HINDSIGHT_API_URL", default_url)
banks = self._config.get("banks", {}).get("hermes", {})
self._bank_id = self._config.get("bank_id") or banks.get("bankId", "hermes")
budget = self._config.get("budget") or banks.get("budget", "mid")
self._bank_id = banks.get("bankId", "hermes")
budget = banks.get("budget", "mid")
self._budget = budget if budget in _VALID_BUDGETS else "mid"
memory_mode = self._config.get("memory_mode", "hybrid")
self._memory_mode = memory_mode if memory_mode in ("context", "tools", "hybrid") else "hybrid"
prefetch_method = self._config.get("prefetch_method", "recall")
self._prefetch_method = prefetch_method if prefetch_method in ("recall", "reflect") else "recall"
logger.info("Hindsight initialized: mode=%s, api_url=%s, bank=%s, budget=%s, memory_mode=%s, prefetch_method=%s",
self._mode, self._api_url, self._bank_id, self._budget, self._memory_mode, self._prefetch_method)
# For local mode, start the embedded daemon in the background so it
# doesn't block the chat. Redirect stdout/stderr to a log file to
# prevent rich startup output from spamming the terminal.
if self._mode == "local":
def _start_daemon():
import traceback
log_dir = get_hermes_home() / "logs"
log_dir.mkdir(parents=True, exist_ok=True)
log_path = log_dir / "hindsight-embed.log"
try:
# Redirect the daemon manager's Rich console to our log file
# instead of stderr. This avoids global fd redirects that
# would capture output from other threads.
import hindsight_embed.daemon_embed_manager as dem
from rich.console import Console
dem.console = Console(file=open(log_path, "a"), force_terminal=False)
client = self._get_client()
profile = self._config.get("profile", "hermes")
# Update the profile .env to match our current config so
# the daemon always starts with the right settings.
# If the config changed and the daemon is running, stop it.
from pathlib import Path as _Path
profile_env = _Path.home() / ".hindsight" / "profiles" / f"{profile}.env"
current_key = self._config.get("llmApiKey") or os.environ.get("HINDSIGHT_LLM_API_KEY", "")
current_provider = self._config.get("llm_provider", "")
current_model = self._config.get("llm_model", "")
# Read saved profile config
saved = {}
if profile_env.exists():
for line in profile_env.read_text().splitlines():
if "=" in line and not line.startswith("#"):
k, v = line.split("=", 1)
saved[k.strip()] = v.strip()
config_changed = (
saved.get("HINDSIGHT_API_LLM_PROVIDER") != current_provider or
saved.get("HINDSIGHT_API_LLM_MODEL") != current_model or
saved.get("HINDSIGHT_API_LLM_API_KEY") != current_key
)
if config_changed:
# Write updated profile .env
profile_env.parent.mkdir(parents=True, exist_ok=True)
profile_env.write_text(
f"HINDSIGHT_API_LLM_PROVIDER={current_provider}\n"
f"HINDSIGHT_API_LLM_API_KEY={current_key}\n"
f"HINDSIGHT_API_LLM_MODEL={current_model}\n"
f"HINDSIGHT_API_LOG_LEVEL=info\n"
)
if client._manager.is_running(profile):
with open(log_path, "a") as f:
f.write("\n=== Config changed, restarting daemon ===\n")
client._manager.stop(profile)
client._ensure_started()
with open(log_path, "a") as f:
f.write("\n=== Daemon started successfully ===\n")
except Exception as e:
with open(log_path, "a") as f:
f.write(f"\n=== Daemon startup failed: {e} ===\n")
traceback.print_exc(file=f)
t = threading.Thread(target=_start_daemon, daemon=True, name="hindsight-daemon-start")
t.start()
# Ensure bank exists
try:
client = _run_in_thread(self._make_client)
_run_in_thread(lambda: client.create_bank(bank_id=self._bank_id, name=self._bank_id))
except Exception:
pass # Already exists
def system_prompt_block(self) -> str:
if self._memory_mode == "context":
return (
f"# Hindsight Memory\n"
f"Active (context mode). Bank: {self._bank_id}, budget: {self._budget}.\n"
f"Relevant memories are automatically injected into context."
)
if self._memory_mode == "tools":
return (
f"# Hindsight Memory\n"
f"Active (tools mode). Bank: {self._bank_id}, budget: {self._budget}.\n"
f"Use hindsight_recall to search, hindsight_reflect for synthesis, "
f"hindsight_retain to store facts."
)
return (
f"# Hindsight Memory\n"
f"Active. Bank: {self._bank_id}, budget: {self._budget}.\n"
f"Relevant memories are automatically injected into context. "
f"Use hindsight_recall to search, hindsight_reflect for synthesis, "
f"hindsight_retain to store facts."
)
@@ -386,18 +262,12 @@ class HindsightMemoryProvider(MemoryProvider):
return f"## Hindsight Memory\n{result}"
def queue_prefetch(self, query: str, *, session_id: str = "") -> None:
if self._memory_mode == "tools":
return
def _run():
try:
client = self._get_client()
if self._prefetch_method == "reflect":
resp = _run_sync(client.areflect(bank_id=self._bank_id, query=query, budget=self._budget))
text = resp.text or ""
else:
resp = _run_sync(client.arecall(bank_id=self._bank_id, query=query, budget=self._budget))
text = "\n".join(r.text for r in resp.results if r.text) if resp.results else ""
if text:
client = self._make_client()
resp = client.recall(bank_id=self._bank_id, query=query, budget=self._budget)
if resp.results:
text = "\n".join(r.text for r in resp.results if r.text)
with self._prefetch_lock:
self._prefetch_result = text
except Exception as e:
@@ -412,10 +282,11 @@ class HindsightMemoryProvider(MemoryProvider):
def _sync():
try:
client = self._get_client()
_run_sync(client.aretain(
bank_id=self._bank_id, content=combined, context="conversation"
))
_run_in_thread(
lambda: self._make_client().retain(
bank_id=self._bank_id, content=combined, context="conversation"
)
)
except Exception as e:
logger.warning("Hindsight sync failed: %s", e)
@@ -425,89 +296,61 @@ class HindsightMemoryProvider(MemoryProvider):
self._sync_thread.start()
def get_tool_schemas(self) -> List[Dict[str, Any]]:
if self._memory_mode == "context":
return []
return [RETAIN_SCHEMA, RECALL_SCHEMA, REFLECT_SCHEMA]
def handle_tool_call(self, tool_name: str, args: dict, **kwargs) -> str:
try:
client = self._get_client()
except Exception as e:
logger.warning("Hindsight client init failed: %s", e)
return tool_error(f"Hindsight client unavailable: {e}")
if tool_name == "hindsight_retain":
content = args.get("content", "")
if not content:
return tool_error("Missing required parameter: content")
return json.dumps({"error": "Missing required parameter: content"})
context = args.get("context")
try:
_run_sync(client.aretain(
bank_id=self._bank_id, content=content, context=context
))
_run_in_thread(
lambda: self._make_client().retain(
bank_id=self._bank_id, content=content, context=context
)
)
return json.dumps({"result": "Memory stored successfully."})
except Exception as e:
logger.warning("hindsight_retain failed: %s", e)
return tool_error(f"Failed to store memory: {e}")
return json.dumps({"error": f"Failed to store memory: {e}"})
elif tool_name == "hindsight_recall":
query = args.get("query", "")
if not query:
return tool_error("Missing required parameter: query")
return json.dumps({"error": "Missing required parameter: query"})
try:
resp = _run_sync(client.arecall(
bank_id=self._bank_id, query=query, budget=self._budget
))
resp = _run_in_thread(
lambda: self._make_client().recall(
bank_id=self._bank_id, query=query, budget=self._budget
)
)
if not resp.results:
return json.dumps({"result": "No relevant memories found."})
lines = [f"{i}. {r.text}" for i, r in enumerate(resp.results, 1)]
return json.dumps({"result": "\n".join(lines)})
except Exception as e:
logger.warning("hindsight_recall failed: %s", e)
return tool_error(f"Failed to search memory: {e}")
return json.dumps({"error": f"Failed to search memory: {e}"})
elif tool_name == "hindsight_reflect":
query = args.get("query", "")
if not query:
return tool_error("Missing required parameter: query")
return json.dumps({"error": "Missing required parameter: query"})
try:
resp = _run_sync(client.areflect(
bank_id=self._bank_id, query=query, budget=self._budget
))
resp = _run_in_thread(
lambda: self._make_client().reflect(
bank_id=self._bank_id, query=query, budget=self._budget
)
)
return json.dumps({"result": resp.text or "No relevant memories found."})
except Exception as e:
logger.warning("hindsight_reflect failed: %s", e)
return tool_error(f"Failed to reflect: {e}")
return json.dumps({"error": f"Failed to reflect: {e}"})
return tool_error(f"Unknown tool: {tool_name}")
return json.dumps({"error": f"Unknown tool: {tool_name}"})
def shutdown(self) -> None:
global _loop, _loop_thread
for t in (self._prefetch_thread, self._sync_thread):
if t and t.is_alive():
t.join(timeout=5.0)
if self._client is not None:
try:
if self._mode == "local":
# Use the public close() API. The RuntimeError from
# aiohttp's "attached to a different loop" is expected
# and harmless — the daemon keeps running independently.
try:
self._client.close()
except RuntimeError:
pass
else:
_run_sync(self._client.aclose())
except Exception:
pass
self._client = None
# Stop the background event loop so no tasks are pending at exit
if _loop is not None and _loop.is_running():
_loop.call_soon_threadsafe(_loop.stop)
if _loop_thread is not None:
_loop_thread.join(timeout=5.0)
_loop = None
_loop_thread = None
def register(ctx) -> None:
-1
View File
@@ -3,7 +3,6 @@ version: 1.0.0
description: "Hindsight — long-term memory with knowledge graph, entity resolution, and multi-strategy retrieval."
pip_dependencies:
- hindsight-client
- hindsight-all
requires_env:
- HINDSIGHT_API_KEY
hooks:
+8 -8
View File
@@ -20,10 +20,10 @@ from __future__ import annotations
import json
import logging
import re
from pathlib import Path
from typing import Any, Dict, List
from agent.memory_provider import MemoryProvider
from tools.registry import tool_error
from .store import MemoryStore
from .retrieval import FactRetriever
@@ -231,7 +231,7 @@ class HolographicMemoryProvider(MemoryProvider):
return self._handle_fact_store(args)
elif tool_name == "fact_feedback":
return self._handle_fact_feedback(args)
return tool_error(f"Unknown tool: {tool_name}")
return json.dumps({"error": f"Unknown tool: {tool_name}"})
def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
if not self._config.get("auto_extract", False):
@@ -297,7 +297,7 @@ class HolographicMemoryProvider(MemoryProvider):
elif action == "reason":
entities = args.get("entities", [])
if not entities:
return tool_error("reason requires 'entities' list")
return json.dumps({"error": "reason requires 'entities' list"})
results = retriever.reason(
entities,
category=args.get("category"),
@@ -335,12 +335,12 @@ class HolographicMemoryProvider(MemoryProvider):
return json.dumps({"facts": facts, "count": len(facts)})
else:
return tool_error(f"Unknown action: {action}")
return json.dumps({"error": f"Unknown action: {action}"})
except KeyError as exc:
return tool_error(f"Missing required argument: {exc}")
return json.dumps({"error": f"Missing required argument: {exc}"})
except Exception as exc:
return tool_error(str(exc))
return json.dumps({"error": str(exc)})
def _handle_fact_feedback(self, args: dict) -> str:
try:
@@ -349,9 +349,9 @@ class HolographicMemoryProvider(MemoryProvider):
result = self._store.record_feedback(fact_id, helpful=helpful)
return json.dumps(result)
except KeyError as exc:
return tool_error(f"Missing required argument: {exc}")
return json.dumps({"error": f"Missing required argument: {exc}"})
except Exception as exc:
return tool_error(str(exc))
return json.dumps({"error": str(exc)})
# -- Auto-extraction (on_session_end) ------------------------------------
+1
View File
@@ -6,6 +6,7 @@ Single-user Hermes memory store plugin.
import re
import sqlite3
import threading
from datetime import datetime
from pathlib import Path
try:
+11 -196
View File
@@ -2,18 +2,15 @@
AI-native cross-session user modeling with dialectic Q&A, semantic search, peer cards, and persistent conclusions.
> **Honcho docs:** <https://docs.honcho.dev/v3/guides/integrations/hermes>
## Requirements
- `pip install honcho-ai`
- Honcho API key from [app.honcho.dev](https://app.honcho.dev), or a self-hosted instance
- Honcho API key from [app.honcho.dev](https://app.honcho.dev)
## Setup
```bash
hermes honcho setup # full interactive wizard (cloud or local)
hermes memory setup # generic picker, also works
hermes memory setup # select "honcho"
```
Or manually:
@@ -22,199 +19,17 @@ hermes config set memory.provider honcho
echo "HONCHO_API_KEY=your-key" >> ~/.hermes/.env
```
## Config Resolution
## Config
Config is read from the first file that exists:
Config file: `$HERMES_HOME/honcho.json` (or `~/.honcho/config.json` legacy)
| Priority | Path | Scope |
|----------|------|-------|
| 1 | `$HERMES_HOME/honcho.json` | Profile-local (isolated Hermes instances) |
| 2 | `~/.hermes/honcho.json` | Default profile (shared host blocks) |
| 3 | `~/.honcho/config.json` | Global (cross-app interop) |
Host key is derived from the active Hermes profile: `hermes` (default) or `hermes.<profile>`.
Existing Honcho users: your config and data are preserved. Just set `memory.provider: honcho`.
## Tools
| Tool | LLM call? | Description |
|------|-----------|-------------|
| `honcho_profile` | No | User's peer card -- key facts snapshot |
| `honcho_search` | No | Semantic search over stored context (800 tok default, 2000 max) |
| `honcho_context` | Yes | LLM-synthesized answer via dialectic reasoning |
| `honcho_conclude` | No | Write a persistent fact about the user |
Tool availability depends on `recallMode`: hidden in `context` mode, always present in `tools` and `hybrid`.
## Full Configuration Reference
### Identity & Connection
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `apiKey` | string | -- | root / host | API key. Falls back to `HONCHO_API_KEY` env var |
| `baseUrl` | string | -- | root | Base URL for self-hosted Honcho. Local URLs (`localhost`, `127.0.0.1`, `::1`) auto-skip API key auth |
| `environment` | string | `"production"` | root / host | SDK environment mapping |
| `enabled` | bool | auto | root / host | Master toggle. Auto-enables when `apiKey` or `baseUrl` present |
| `workspace` | string | host key | root / host | Honcho workspace ID |
| `peerName` | string | -- | root / host | User peer identity |
| `aiPeer` | string | host key | root / host | AI peer identity |
### Memory & Recall
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `recallMode` | string | `"hybrid"` | root / host | `"hybrid"` (auto-inject + tools), `"context"` (auto-inject only, tools hidden), `"tools"` (tools only, no injection). Legacy `"auto"` normalizes to `"hybrid"` |
| `observationMode` | string | `"directional"` | root / host | Shorthand preset: `"directional"` (all on) or `"unified"` (shared pool). Use `observation` object for granular control |
| `observation` | object | -- | root / host | Per-peer observation config (see below) |
#### Observation (granular)
Maps 1:1 to Honcho's per-peer `SessionPeerConfig`. Set at root or per host block -- each profile can have different observation settings. When present, overrides `observationMode` preset.
```json
"observation": {
"user": { "observeMe": true, "observeOthers": true },
"ai": { "observeMe": true, "observeOthers": true }
}
```
| Field | Default | Description |
|-------|---------|-------------|
| `user.observeMe` | `true` | User peer self-observation (Honcho builds user representation) |
| `user.observeOthers` | `true` | User peer observes AI messages |
| `ai.observeMe` | `true` | AI peer self-observation (Honcho builds AI representation) |
| `ai.observeOthers` | `true` | AI peer observes user messages (enables cross-peer dialectic) |
Presets for `observationMode`:
- `"directional"` (default): all four booleans `true`
- `"unified"`: user `observeMe=true`, AI `observeOthers=true`, rest `false`
Per-profile example -- coder profile observes the user but user doesn't observe coder:
```json
"hosts": {
"hermes.coder": {
"observation": {
"user": { "observeMe": true, "observeOthers": false },
"ai": { "observeMe": true, "observeOthers": true }
}
}
}
```
Settings changed in the [Honcho dashboard](https://app.honcho.dev) are synced back on session init.
### Write Behavior
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `writeFrequency` | string or int | `"async"` | root / host | `"async"` (background thread), `"turn"` (sync per turn), `"session"` (batch on end), or integer N (every N turns) |
| `saveMessages` | bool | `true` | root / host | Whether to persist messages to Honcho API |
### Session Resolution
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `sessionStrategy` | string | `"per-directory"` | root / host | `"per-directory"`, `"per-session"` (new each run), `"per-repo"` (git root name), `"global"` (single session) |
| `sessionPeerPrefix` | bool | `false` | root / host | Prepend peer name to session keys |
| `sessions` | object | `{}` | root | Manual directory-to-session-name mappings: `{"/path/to/project": "my-session"}` |
### Token Budgets & Dialectic
| Key | Type | Default | Scope | Description |
|-----|------|---------|-------|-------------|
| `contextTokens` | int | SDK default | root / host | Token budget for `context()` API calls. Also gates prefetch truncation (tokens x 4 chars) |
| `dialecticReasoningLevel` | string | `"low"` | root / host | Base reasoning level for `peer.chat()`: `"minimal"`, `"low"`, `"medium"`, `"high"`, `"max"` |
| `dialecticDynamic` | bool | `true` | root / host | Auto-bump reasoning based on query length: `<120` chars = base level, `120-400` = +1, `>400` = +2 (capped at `"high"`). Set `false` to always use `dialecticReasoningLevel` as-is |
| `dialecticMaxChars` | int | `600` | root / host | Max chars of dialectic result injected into system prompt |
| `dialecticMaxInputChars` | int | `10000` | root / host | Max chars for dialectic query input to `peer.chat()`. Honcho cloud limit: 10k |
| `messageMaxChars` | int | `25000` | root / host | Max chars per message sent via `add_messages()`. Messages exceeding this are chunked with `[continued]` markers. Honcho cloud limit: 25k |
### Cost Awareness (Advanced)
These are read from the root config object, not the host block. Must be set manually in `honcho.json`.
| Key | Type | Default | Description |
|-----|------|---------|-------------|
| `injectionFrequency` | string | `"every-turn"` | `"every-turn"` or `"first-turn"` (inject context only on turn 0) |
| `contextCadence` | int | `1` | Minimum turns between `context()` API calls |
| `dialecticCadence` | int | `1` | Minimum turns between `peer.chat()` API calls |
| `reasoningLevelCap` | string | -- | Hard cap on auto-bumped reasoning: `"minimal"`, `"low"`, `"mid"`, `"high"` |
### Hardcoded Limits (Not Configurable)
| Limit | Value | Location |
|-------|-------|----------|
| Search tool max tokens | 2000 (hard cap), 800 (default) | `__init__.py` handle_tool_call |
| Peer card fetch tokens | 200 | `session.py` get_peer_card |
## Config Precedence
For every key, resolution order is: **host block > root > env var > default**.
Host key derivation: `HERMES_HONCHO_HOST` env > active profile (`hermes.<profile>`) > `"hermes"`.
## Environment Variables
| Variable | Fallback for |
|----------|-------------|
| `HONCHO_API_KEY` | `apiKey` |
| `HONCHO_BASE_URL` | `baseUrl` |
| `HONCHO_ENVIRONMENT` | `environment` |
| `HERMES_HONCHO_HOST` | Host key override |
## CLI Commands
| Command | Description |
|---------|-------------|
| `hermes honcho setup` | Full interactive setup wizard |
| `hermes honcho status` | Show resolved config for active profile |
| `hermes honcho enable` / `disable` | Toggle Honcho for active profile |
| `hermes honcho mode <mode>` | Change recall or observation mode |
| `hermes honcho peer --user <name>` | Update user peer name |
| `hermes honcho peer --ai <name>` | Update AI peer name |
| `hermes honcho tokens --context <N>` | Set context token budget |
| `hermes honcho tokens --dialectic <N>` | Set dialectic max chars |
| `hermes honcho map <name>` | Map current directory to a session name |
| `hermes honcho sync` | Create host blocks for all Hermes profiles |
## Example Config
```json
{
"apiKey": "your-key",
"workspace": "hermes",
"peerName": "eri",
"hosts": {
"hermes": {
"enabled": true,
"aiPeer": "hermes",
"workspace": "hermes",
"peerName": "eri",
"recallMode": "hybrid",
"observation": {
"user": { "observeMe": true, "observeOthers": true },
"ai": { "observeMe": true, "observeOthers": true }
},
"writeFrequency": "async",
"sessionStrategy": "per-directory",
"dialecticReasoningLevel": "low",
"dialecticMaxChars": 600,
"saveMessages": true
},
"hermes.coder": {
"enabled": true,
"aiPeer": "coder",
"workspace": "hermes",
"peerName": "eri",
"observation": {
"user": { "observeMe": true, "observeOthers": false },
"ai": { "observeMe": true, "observeOthers": true }
}
}
},
"sessions": {
"/home/user/myproject": "myproject-main"
}
}
```
| Tool | Description |
|------|-------------|
| `honcho_profile` | User's peer card key facts, no LLM |
| `honcho_search` | Semantic search over stored context |
| `honcho_context` | LLM-synthesized answer from memory |
| `honcho_conclude` | Write a fact about the user to memory |
+61 -83
View File
@@ -18,10 +18,10 @@ from __future__ import annotations
import json
import logging
import threading
from pathlib import Path
from typing import Any, Dict, List, Optional
from agent.memory_provider import MemoryProvider
from tools.registry import tool_error
logger = logging.getLogger(__name__)
@@ -144,6 +144,10 @@ class HonchoMemoryProvider(MemoryProvider):
self._last_context_turn = -999
self._last_dialectic_turn = -999
# B2: peer_memory_mode gating (stub)
self._suppress_memory = False
self._suppress_user_profile = False
# Port #1957: lazy session init for tools-only mode
self._session_initialized = False
self._lazy_init_kwargs: Optional[dict] = None
@@ -183,15 +187,9 @@ class HonchoMemoryProvider(MemoryProvider):
def get_config_schema(self):
return [
{"key": "api_key", "description": "Honcho API key", "secret": True, "env_var": "HONCHO_API_KEY", "url": "https://app.honcho.dev"},
{"key": "baseUrl", "description": "Honcho base URL (for self-hosted)"},
{"key": "base_url", "description": "Honcho base URL", "default": "https://api.honcho.dev"},
]
def post_setup(self, hermes_home: str, config: dict) -> None:
"""Run the full Honcho setup wizard after provider selection."""
import types
from plugins.memory.honcho.cli import cmd_setup
cmd_setup(types.SimpleNamespace())
def initialize(self, session_id: str, **kwargs) -> None:
"""Initialize Honcho session manager.
@@ -217,12 +215,6 @@ class HonchoMemoryProvider(MemoryProvider):
logger.debug("Honcho not configured — plugin inactive")
return
# Override peer_name with gateway user_id for per-user memory scoping.
# CLI sessions won't have user_id, so the config default is preserved.
_gw_user_id = kwargs.get("user_id")
if _gw_user_id:
cfg.peer_name = _gw_user_id
self._config = cfg
# ----- B1: recall_mode from config -----
@@ -241,10 +233,48 @@ class HonchoMemoryProvider(MemoryProvider):
except Exception as e:
logger.debug("Honcho cost-awareness config parse error: %s", e)
# ----- Port #1969: aiPeer sync from SOUL.md — REMOVED -----
# SOUL.md is persona content, not identity config. aiPeer should
# only come from honcho.json (host block or root) or the default.
# See scratch/memory-plugin-ux-specs.md #10 for rationale.
# ----- Port #1969: aiPeer sync from SOUL.md -----
try:
hermes_home = kwargs.get("hermes_home", "")
if hermes_home and not cfg.raw.get("aiPeer"):
soul_path = Path(hermes_home) / "SOUL.md"
if soul_path.exists():
soul_text = soul_path.read_text(encoding="utf-8").strip()
if soul_text:
# Try YAML frontmatter: "name: Foo"
first_line = soul_text.split("\n")[0].strip()
if first_line.startswith("---"):
# Look for name: in frontmatter
for line in soul_text.split("\n")[1:]:
line = line.strip()
if line == "---":
break
if line.lower().startswith("name:"):
name_val = line.split(":", 1)[1].strip().strip("\"'")
if name_val:
cfg.ai_peer = name_val
logger.debug("Honcho ai_peer set from SOUL.md: %s", name_val)
break
elif first_line.startswith("# "):
# Markdown heading: "# AgentName"
name_val = first_line[2:].strip()
if name_val:
cfg.ai_peer = name_val
logger.debug("Honcho ai_peer set from SOUL.md heading: %s", name_val)
except Exception as e:
logger.debug("Honcho SOUL.md ai_peer sync failed: %s", e)
# ----- B2: peer_memory_mode gating (stub) -----
try:
ai_mode = cfg.peer_memory_mode(cfg.ai_peer)
user_mode = cfg.peer_memory_mode(cfg.peer_name or "user")
# "honcho" means Honcho owns memory; suppress built-in
self._suppress_memory = (ai_mode == "honcho")
self._suppress_user_profile = (user_mode == "honcho")
logger.debug("Honcho peer_memory_mode: ai=%s (suppress_memory=%s), user=%s (suppress_user_profile=%s)",
ai_mode, self._suppress_memory, user_mode, self._suppress_user_profile)
except Exception as e:
logger.debug("Honcho peer_memory_mode check failed: %s", e)
# ----- Port #1957: lazy session init for tools-only mode -----
if self._recall_mode == "tools":
@@ -517,71 +547,19 @@ class HonchoMemoryProvider(MemoryProvider):
"""Track turn count for cadence and injection_frequency logic."""
self._turn_count = turn_number
@staticmethod
def _chunk_message(content: str, limit: int) -> list[str]:
"""Split content into chunks that fit within the Honcho message limit.
Splits at paragraph boundaries when possible, falling back to
sentence boundaries, then word boundaries. Each continuation
chunk is prefixed with "[continued] " so Honcho's representation
engine can reconstruct the full message.
"""
if len(content) <= limit:
return [content]
prefix = "[continued] "
prefix_len = len(prefix)
chunks = []
remaining = content
first = True
while remaining:
effective = limit if first else limit - prefix_len
if len(remaining) <= effective:
chunks.append(remaining if first else prefix + remaining)
break
segment = remaining[:effective]
# Try paragraph break, then sentence, then word
cut = segment.rfind("\n\n")
if cut < effective * 0.3:
cut = segment.rfind(". ")
if cut >= 0:
cut += 2 # include the period and space
if cut < effective * 0.3:
cut = segment.rfind(" ")
if cut < effective * 0.3:
cut = effective # hard cut
chunk = remaining[:cut].rstrip()
remaining = remaining[cut:].lstrip()
if not first:
chunk = prefix + chunk
chunks.append(chunk)
first = False
return chunks
def sync_turn(self, user_content: str, assistant_content: str, *, session_id: str = "") -> None:
"""Record the conversation turn in Honcho (non-blocking).
Messages exceeding the Honcho API limit (default 25k chars) are
split into multiple messages with continuation markers.
"""
"""Record the conversation turn in Honcho (non-blocking)."""
if self._cron_skipped:
return
if not self._manager or not self._session_key:
return
msg_limit = self._config.message_max_chars if self._config else 25000
def _sync():
try:
session = self._manager.get_or_create(self._session_key)
for chunk in self._chunk_message(user_content, msg_limit):
session.add_message("user", chunk)
for chunk in self._chunk_message(assistant_content, msg_limit):
session.add_message("assistant", chunk)
session.add_message("user", user_content[:4000])
session.add_message("assistant", assistant_content[:4000])
# Flush to Honcho API
self._manager._flush_session(session)
except Exception as e:
logger.debug("Honcho sync_turn failed: %s", e)
@@ -639,15 +617,15 @@ class HonchoMemoryProvider(MemoryProvider):
def handle_tool_call(self, tool_name: str, args: dict, **kwargs) -> str:
"""Handle a Honcho tool call, with lazy session init for tools-only mode."""
if self._cron_skipped:
return tool_error("Honcho is not active (cron context).")
return json.dumps({"error": "Honcho is not active (cron context)."})
# Port #1957: ensure session is initialized for tools-only mode
if not self._session_initialized:
if not self._ensure_session():
return tool_error("Honcho session could not be initialized.")
return json.dumps({"error": "Honcho session could not be initialized."})
if not self._manager or not self._session_key:
return tool_error("Honcho is not active for this session.")
return json.dumps({"error": "Honcho is not active for this session."})
try:
if tool_name == "honcho_profile":
@@ -659,7 +637,7 @@ class HonchoMemoryProvider(MemoryProvider):
elif tool_name == "honcho_search":
query = args.get("query", "")
if not query:
return tool_error("Missing required parameter: query")
return json.dumps({"error": "Missing required parameter: query"})
max_tokens = min(int(args.get("max_tokens", 800)), 2000)
result = self._manager.search_context(
self._session_key, query, max_tokens=max_tokens
@@ -671,7 +649,7 @@ class HonchoMemoryProvider(MemoryProvider):
elif tool_name == "honcho_context":
query = args.get("query", "")
if not query:
return tool_error("Missing required parameter: query")
return json.dumps({"error": "Missing required parameter: query"})
peer = args.get("peer", "user")
result = self._manager.dialectic_query(
self._session_key, query, peer=peer
@@ -681,17 +659,17 @@ class HonchoMemoryProvider(MemoryProvider):
elif tool_name == "honcho_conclude":
conclusion = args.get("conclusion", "")
if not conclusion:
return tool_error("Missing required parameter: conclusion")
return json.dumps({"error": "Missing required parameter: conclusion"})
ok = self._manager.create_conclusion(self._session_key, conclusion)
if ok:
return json.dumps({"result": f"Conclusion saved: {conclusion}"})
return tool_error("Failed to save conclusion.")
return json.dumps({"error": "Failed to save conclusion."})
return tool_error(f"Unknown tool: {tool_name}")
return json.dumps({"error": f"Unknown tool: {tool_name}"})
except Exception as e:
logger.error("Honcho tool %s failed: %s", tool_name, e)
return tool_error(f"Honcho {tool_name} failed: {e}")
return json.dumps({"error": f"Honcho {tool_name} failed: {e}"})
def shutdown(self) -> None:
for t in (self._prefetch_thread, self._sync_thread):
+91 -230
View File
@@ -11,7 +11,7 @@ import sys
from pathlib import Path
from hermes_constants import get_hermes_home
from plugins.memory.honcho.client import resolve_active_host, resolve_config_path, HOST
from plugins.memory.honcho.client import resolve_active_host, resolve_config_path, GLOBAL_CONFIG_PATH, HOST
def clone_honcho_for_profile(profile_name: str) -> bool:
@@ -41,10 +41,9 @@ def clone_honcho_for_profile(profile_name: str) -> bool:
# Clone settings from default block, override identity fields
new_block = {}
for key in ("recallMode", "writeFrequency", "sessionStrategy",
for key in ("memoryMode", "recallMode", "writeFrequency", "sessionStrategy",
"sessionPeerPrefix", "contextTokens", "dialecticReasoningLevel",
"dialecticDynamic", "dialecticMaxChars", "messageMaxChars",
"dialecticMaxInputChars", "saveMessages", "observation"):
"dialecticMaxChars", "saveMessages"):
val = default_block.get(key)
if val is not None:
new_block[key] = val
@@ -107,10 +106,8 @@ def cmd_enable(args) -> None:
# If this is a new profile host block with no settings, clone from default
if not block.get("aiPeer"):
default_block = cfg.get("hosts", {}).get(HOST, {})
for key in ("recallMode", "writeFrequency", "sessionStrategy",
"contextTokens", "dialecticReasoningLevel", "dialecticDynamic",
"dialecticMaxChars", "messageMaxChars", "dialecticMaxInputChars",
"saveMessages", "observation"):
for key in ("memoryMode", "recallMode", "writeFrequency", "sessionStrategy",
"contextTokens", "dialecticReasoningLevel", "dialecticMaxChars"):
val = default_block.get(key)
if val is not None and key not in block:
block[key] = val
@@ -340,135 +337,91 @@ def cmd_setup(args) -> None:
if not _ensure_sdk_installed():
return
# All writes go to the active host block — root keys are managed by
# the user or the honcho CLI only.
hosts = cfg.setdefault("hosts", {})
hermes_host = hosts.setdefault(_host_key(), {})
# --- 1. Cloud or local? ---
print(" Deployment:")
print(" cloud -- Honcho cloud (api.honcho.dev)")
print(" local -- self-hosted Honcho server")
current_deploy = "local" if any(
h in (cfg.get("baseUrl") or cfg.get("base_url") or "")
for h in ("localhost", "127.0.0.1", "::1")
) else "cloud"
deploy = _prompt("Cloud or local?", default=current_deploy)
is_local = deploy.lower() in ("local", "l")
# API key — shared credential, lives at root so all hosts can read it
current_key = cfg.get("apiKey", "")
masked = f"...{current_key[-8:]}" if len(current_key) > 8 else ("set" if current_key else "not set")
print(f" Current API key: {masked}")
new_key = _prompt("Honcho API key (leave blank to keep current)", secret=True)
if new_key:
cfg["apiKey"] = new_key
# Clean up legacy snake_case key
cfg.pop("base_url", None)
effective_key = cfg.get("apiKey", "")
if not effective_key:
print("\n No API key configured. Get your API key at https://app.honcho.dev")
print(" Run 'hermes honcho setup' again once you have a key.\n")
return
if is_local:
# --- Local: ask for base URL, skip or clear API key ---
current_url = cfg.get("baseUrl") or ""
new_url = _prompt("Base URL", default=current_url or "http://localhost:8000")
if new_url:
cfg["baseUrl"] = new_url
# For local no-auth, the SDK must not send an API key.
# We keep the key in config (for cloud switching later) but
# the client should skip auth when baseUrl is local.
current_key = cfg.get("apiKey", "")
if current_key:
print(f"\n API key present in config (kept for cloud/hybrid use).")
print(" Local connections will skip auth automatically.")
else:
print("\n No API key set. Local no-auth ready.")
else:
# --- Cloud: set default base URL, require API key ---
cfg.pop("baseUrl", None) # cloud uses SDK default
current_key = cfg.get("apiKey", "")
masked = f"...{current_key[-8:]}" if len(current_key) > 8 else ("set" if current_key else "not set")
print(f"\n Current API key: {masked}")
new_key = _prompt("Honcho API key (leave blank to keep current)", secret=True)
if new_key:
cfg["apiKey"] = new_key
if not cfg.get("apiKey"):
print("\n No API key configured. Get yours at https://app.honcho.dev")
print(" Run 'hermes honcho setup' again once you have a key.\n")
return
# --- 3. Identity ---
# Peer name
current_peer = hermes_host.get("peerName") or cfg.get("peerName", "")
new_peer = _prompt("Your name (user peer)", default=current_peer or os.getenv("USER", "user"))
if new_peer:
hermes_host["peerName"] = new_peer
current_ai = hermes_host.get("aiPeer") or cfg.get("aiPeer", "hermes")
new_ai = _prompt("AI peer name", default=current_ai)
if new_ai:
hermes_host["aiPeer"] = new_ai
current_workspace = hermes_host.get("workspace") or cfg.get("workspace", "hermes")
new_workspace = _prompt("Workspace ID", default=current_workspace)
if new_workspace:
hermes_host["workspace"] = new_workspace
# --- 4. Observation mode ---
current_obs = hermes_host.get("observationMode") or cfg.get("observationMode", "directional")
print("\n Observation mode:")
print(" directional -- all observations on, each AI peer builds its own view (default)")
print(" unified -- shared pool, user observes self, AI observes others only")
new_obs = _prompt("Observation mode", default=current_obs)
if new_obs in ("unified", "directional"):
hermes_host["observationMode"] = new_obs
else:
hermes_host["observationMode"] = "directional"
hermes_host.setdefault("aiPeer", _host_key())
# --- 5. Write frequency ---
# Memory mode
current_mode = hermes_host.get("memoryMode") or cfg.get("memoryMode", "hybrid")
print("\n Memory mode options:")
print(" hybrid — write to both Honcho and local MEMORY.md (default)")
print(" honcho — Honcho only, skip MEMORY.md writes")
new_mode = _prompt("Memory mode", default=current_mode)
if new_mode in ("hybrid", "honcho"):
hermes_host["memoryMode"] = new_mode
else:
hermes_host["memoryMode"] = "hybrid"
# Write frequency
current_wf = str(hermes_host.get("writeFrequency") or cfg.get("writeFrequency", "async"))
print("\n Write frequency:")
print(" async -- background thread, no token cost (recommended)")
print(" turn -- sync write after every turn")
print(" session -- batch write at session end only")
print(" N -- write every N turns (e.g. 5)")
print("\n Write frequency options:")
print(" async background thread, no token cost (recommended)")
print(" turn sync write after every turn")
print(" session batch write at session end only")
print(" N write every N turns (e.g. 5)")
new_wf = _prompt("Write frequency", default=current_wf)
try:
hermes_host["writeFrequency"] = int(new_wf)
except (ValueError, TypeError):
hermes_host["writeFrequency"] = new_wf if new_wf in ("async", "turn", "session") else "async"
# --- 6. Recall mode ---
# Recall mode
_raw_recall = hermes_host.get("recallMode") or cfg.get("recallMode", "hybrid")
current_recall = "hybrid" if _raw_recall not in ("hybrid", "context", "tools") else _raw_recall
print("\n Recall mode:")
print(" hybrid -- auto-injected context + Honcho tools available (default)")
print(" context -- auto-injected context only, Honcho tools hidden")
print(" tools -- Honcho tools only, no auto-injected context")
print("\n Recall mode options:")
print(" hybrid auto-injected context + Honcho tools available (default)")
print(" context auto-injected context only, Honcho tools hidden")
print(" tools Honcho tools only, no auto-injected context")
new_recall = _prompt("Recall mode", default=current_recall)
if new_recall in ("hybrid", "context", "tools"):
hermes_host["recallMode"] = new_recall
# --- 7. Session strategy ---
# Session strategy
current_strat = hermes_host.get("sessionStrategy") or cfg.get("sessionStrategy", "per-directory")
print("\n Session strategy:")
print(" per-directory -- one session per working directory (default)")
print(" per-session -- new Honcho session each run")
print(" per-repo -- one session per git repository")
print(" global -- single session across all directories")
print("\n Session strategy options:")
print(" per-directory one session per working directory (default)")
print(" per-session new Honcho session each run, named by Hermes session ID")
print(" per-repo one session per git repository (uses repo root name)")
print(" global single session across all directories")
new_strat = _prompt("Session strategy", default=current_strat)
if new_strat in ("per-session", "per-repo", "per-directory", "global"):
hermes_host["sessionStrategy"] = new_strat
hermes_host["enabled"] = True
hermes_host.setdefault("enabled", True)
hermes_host.setdefault("saveMessages", True)
_write_config(cfg)
print(f"\n Config written to {write_path}")
# --- Auto-enable Honcho as memory provider in config.yaml ---
try:
from hermes_cli.config import load_config, save_config
hermes_config = load_config()
hermes_config.setdefault("memory", {})["provider"] = "honcho"
save_config(hermes_config)
print(" Memory provider set to 'honcho' in config.yaml")
except Exception as e:
print(f" Could not auto-enable in config.yaml: {e}")
print(" Run: hermes config set memory.provider honcho")
# --- Test connection ---
# Test connection
print(" Testing connection... ", end="", flush=True)
try:
from plugins.memory.honcho.client import HonchoClientConfig, get_honcho_client, reset_honcho_client
@@ -483,23 +436,24 @@ def cmd_setup(args) -> None:
print("\n Honcho is ready.")
print(f" Session: {hcfg.resolve_session_name()}")
print(f" Workspace: {hcfg.workspace_id}")
print(f" User: {hcfg.peer_name}")
print(f" AI peer: {hcfg.ai_peer}")
print(f" Observe: {hcfg.observation_mode}")
print(f" Peer: {hcfg.peer_name}")
_mode_str = hcfg.memory_mode
if hcfg.peer_memory_modes:
overrides = ", ".join(f"{k}={v}" for k, v in hcfg.peer_memory_modes.items())
_mode_str = f"{hcfg.memory_mode} (peers: {overrides})"
print(f" Mode: {_mode_str}")
print(f" Frequency: {hcfg.write_frequency}")
print(f" Recall: {hcfg.recall_mode}")
print(f" Sessions: {hcfg.session_strategy}")
print("\n Honcho tools available in chat:")
print(" honcho_context -- ask Honcho about the user (LLM-synthesized)")
print(" honcho_search -- semantic search over history (no LLM)")
print(" honcho_profile -- peer card, key facts (no LLM)")
print(" honcho_conclude -- persist a user fact to memory (no LLM)")
print(" honcho_context ask Honcho a question about you (LLM-synthesized)")
print(" honcho_search semantic search over your history (no LLM)")
print(" honcho_profile — your peer card, key facts (no LLM)")
print(" honcho_conclude persist a user fact to Honcho memory (no LLM)")
print("\n Other commands:")
print(" hermes honcho status -- show full config")
print(" hermes honcho mode -- change recall/observation mode")
print(" hermes honcho tokens -- tune context and dialectic budgets")
print(" hermes honcho peer -- update peer names")
print(" hermes honcho map <name> -- map this directory to a session name\n")
print(" hermes honcho status show full config")
print(" hermes honcho mode — show or change memory mode")
print(" hermes honcho tokens — show or set token budgets")
print(" hermes honcho identity — seed or show AI peer identity")
print(" hermes honcho map <name> map this directory to a session name\n")
def _active_profile_name() -> str:
@@ -592,7 +546,11 @@ def cmd_status(args) -> None:
print(f" User peer: {hcfg.peer_name or 'not set'}")
print(f" Session key: {hcfg.resolve_session_name()}")
print(f" Recall mode: {hcfg.recall_mode}")
print(f" Observation: user(me={hcfg.user_observe_me},others={hcfg.user_observe_others}) ai(me={hcfg.ai_observe_me},others={hcfg.ai_observe_others})")
print(f" Memory mode: {hcfg.memory_mode}")
if hcfg.peer_memory_modes:
print(" Per-peer modes:")
for peer, mode in hcfg.peer_memory_modes.items():
print(f" {peer}: {mode}")
print(f" Write freq: {hcfg.write_frequency}")
if hcfg.enabled and (hcfg.api_key or hcfg.base_url):
@@ -653,22 +611,24 @@ def _cmd_status_all() -> None:
cfg = _read_config()
active = _active_profile_name()
print(f"\nHoncho profiles ({len(rows)})\n" + "" * 55)
print(f" {'Profile':<14} {'Host':<22} {'Enabled':<9} {'Recall':<9} {'Write'}")
print(f" {'' * 14} {'' * 22} {'' * 9} {'' * 9} {'' * 9}")
print(f"\nHoncho profiles ({len(rows)})\n" + "" * 60)
print(f" {'Profile':<14} {'Host':<22} {'Enabled':<9} {'Mode':<9} {'Recall':<9} {'Write'}")
print(f" {'' * 14} {'' * 22} {'' * 9} {'' * 9} {'' * 9} {'' * 9}")
for name, host, block in rows:
enabled = block.get("enabled", cfg.get("enabled"))
if enabled is None:
# Auto-enable check: any credentials?
has_creds = bool(cfg.get("apiKey") or os.environ.get("HONCHO_API_KEY"))
enabled = has_creds if block else False
enabled_str = "yes" if enabled else "no"
mode = block.get("memoryMode") or cfg.get("memoryMode", "hybrid")
recall = block.get("recallMode") or cfg.get("recallMode", "hybrid")
write = block.get("writeFrequency") or cfg.get("writeFrequency", "async")
marker = " *" if name == active else ""
print(f" {name + marker:<14} {host:<22} {enabled_str:<9} {recall:<9} {write}")
print(f" {name + marker:<14} {host:<22} {enabled_str:<9} {mode:<9} {recall:<9} {write}")
print(f"\n * active profile\n")
@@ -791,26 +751,25 @@ def cmd_peer(args) -> None:
def cmd_mode(args) -> None:
"""Show or set the recall mode."""
"""Show or set the memory mode."""
MODES = {
"hybrid": "auto-injected context + Honcho tools available (default)",
"context": "auto-injected context only, Honcho tools hidden",
"tools": "Honcho tools only, no auto-injected context",
"hybrid": "write to both Honcho and local MEMORY.md (default)",
"honcho": "Honcho only — MEMORY.md writes disabled",
}
cfg = _read_config()
mode_arg = getattr(args, "mode", None)
if mode_arg is None:
current = (
(cfg.get("hosts") or {}).get(_host_key(), {}).get("recallMode")
or cfg.get("recallMode")
(cfg.get("hosts") or {}).get(_host_key(), {}).get("memoryMode")
or cfg.get("memoryMode")
or "hybrid"
)
print("\nHoncho recall mode\n" + "" * 40)
print("\nHoncho memory mode\n" + "" * 40)
for m, desc in MODES.items():
marker = " <-" if m == current else ""
print(f" {m:<10} {desc}{marker}")
print(f"\n Set with: hermes honcho mode [hybrid|context|tools]\n")
marker = " " if m == current else ""
print(f" {m:<8} {desc}{marker}")
print("\n Set with: hermes honcho mode [hybrid|honcho]\n")
return
if mode_arg not in MODES:
@@ -819,9 +778,9 @@ def cmd_mode(args) -> None:
host = _host_key()
label = f"[{host}] " if host != "hermes" else ""
cfg.setdefault("hosts", {}).setdefault(host, {})["recallMode"] = mode_arg
cfg.setdefault("hosts", {}).setdefault(host, {})["memoryMode"] = mode_arg
_write_config(cfg)
print(f" {label}Recall mode -> {mode_arg} ({MODES[mode_arg]})\n")
print(f" {label}Memory mode -> {mode_arg} ({MODES[mode_arg]})\n")
def cmd_tokens(args) -> None:
@@ -1176,15 +1135,8 @@ def honcho_command(args) -> None:
_profile_override = getattr(args, "target_profile", None)
sub = getattr(args, "honcho_command", None)
if sub == "setup":
# Redirect to memory setup — honcho setup goes through the unified path
print("\n Honcho is configured via the memory provider system.")
print(" Running 'hermes memory setup'...\n")
from hermes_cli.memory_setup import cmd_setup_provider
cmd_setup_provider("honcho")
return
elif sub is None:
cmd_status(args)
if sub == "setup" or sub is None:
cmd_setup(args)
elif sub == "status":
cmd_status(args)
elif sub == "peers":
@@ -1211,95 +1163,4 @@ def honcho_command(args) -> None:
cmd_sync(args)
else:
print(f" Unknown honcho command: {sub}")
print(" Available: status, sessions, map, peer, mode, tokens, identity, migrate, enable, disable, sync\n")
def register_cli(subparser) -> None:
"""Build the ``hermes honcho`` argparse subcommand tree.
Called by the plugin CLI registration system during argparse setup.
The *subparser* is the parser for ``hermes honcho``.
"""
subparser.add_argument(
"--target-profile", metavar="NAME", dest="target_profile",
help="Target a specific profile's Honcho config without switching",
)
subs = subparser.add_subparsers(dest="honcho_command")
subs.add_parser(
"setup",
help="Initial Honcho setup (redirects to hermes memory setup)",
)
status_parser = subs.add_parser(
"status", help="Show current Honcho config and connection status",
)
status_parser.add_argument(
"--all", action="store_true", help="Show config overview across all profiles",
)
subs.add_parser("peers", help="Show peer identities across all profiles")
subs.add_parser("sessions", help="List known Honcho session mappings")
map_parser = subs.add_parser(
"map", help="Map current directory to a Honcho session name (no arg = list mappings)",
)
map_parser.add_argument(
"session_name", nargs="?", default=None,
help="Session name to associate with this directory. Omit to list current mappings.",
)
peer_parser = subs.add_parser(
"peer", help="Show or update peer names and dialectic reasoning level",
)
peer_parser.add_argument("--user", metavar="NAME", help="Set user peer name")
peer_parser.add_argument("--ai", metavar="NAME", help="Set AI peer name")
peer_parser.add_argument(
"--reasoning", metavar="LEVEL",
choices=("minimal", "low", "medium", "high", "max"),
help="Set default dialectic reasoning level (minimal/low/medium/high/max)",
)
mode_parser = subs.add_parser(
"mode", help="Show or set recall mode (hybrid/context/tools)",
)
mode_parser.add_argument(
"mode", nargs="?", metavar="MODE",
choices=("hybrid", "context", "tools"),
help="Recall mode to set (hybrid/context/tools). Omit to show current.",
)
tokens_parser = subs.add_parser(
"tokens", help="Show or set token budget for context and dialectic",
)
tokens_parser.add_argument(
"--context", type=int, metavar="N",
help="Max tokens Honcho returns from session.context() per turn",
)
tokens_parser.add_argument(
"--dialectic", type=int, metavar="N",
help="Max chars of dialectic result to inject into system prompt",
)
identity_parser = subs.add_parser(
"identity", help="Seed or show the AI peer's Honcho identity representation",
)
identity_parser.add_argument(
"file", nargs="?", default=None,
help="Path to file to seed from (e.g. SOUL.md). Omit to show usage.",
)
identity_parser.add_argument(
"--show", action="store_true",
help="Show current AI peer representation from Honcho",
)
subs.add_parser(
"migrate",
help="Step-by-step migration guide from openclaw-honcho to Hermes Honcho",
)
subs.add_parser("enable", help="Enable Honcho for the active profile")
subs.add_parser("disable", help="Disable Honcho for the active profile")
subs.add_parser("sync", help="Sync Honcho config to all existing profiles")
subparser.set_defaults(func=honcho_command)
print(" Available: setup, status, sessions, map, peer, mode, tokens, identity, migrate, enable, disable, sync\n")
+56 -107
View File
@@ -85,15 +85,6 @@ def _normalize_recall_mode(val: str) -> str:
return val if val in _VALID_RECALL_MODES else "hybrid"
def _resolve_bool(host_val, root_val, *, default: bool) -> bool:
"""Resolve a bool config field: host wins, then root, then default."""
if host_val is not None:
return bool(host_val)
if root_val is not None:
return bool(root_val)
return default
_VALID_OBSERVATION_MODES = {"unified", "directional"}
_OBSERVATION_MODE_ALIASES = {"shared": "unified", "separate": "directional", "cross": "directional"}
@@ -101,52 +92,31 @@ _OBSERVATION_MODE_ALIASES = {"shared": "unified", "separate": "directional", "cr
def _normalize_observation_mode(val: str) -> str:
"""Normalize observation mode values."""
val = _OBSERVATION_MODE_ALIASES.get(val, val)
return val if val in _VALID_OBSERVATION_MODES else "directional"
return val if val in _VALID_OBSERVATION_MODES else "unified"
# Observation presets — granular booleans derived from legacy string mode.
# Explicit per-peer config always wins over presets.
_OBSERVATION_PRESETS = {
"directional": {
"user_observe_me": True, "user_observe_others": True,
"ai_observe_me": True, "ai_observe_others": True,
},
"unified": {
"user_observe_me": True, "user_observe_others": False,
"ai_observe_me": False, "ai_observe_others": True,
},
}
def _resolve_observation(
mode: str,
observation_obj: dict | None,
def _resolve_memory_mode(
global_val: str | dict,
host_val: str | dict | None,
) -> dict:
"""Resolve per-peer observation booleans.
"""Parse memoryMode (string or object) into memory_mode + peer_memory_modes.
Config forms:
String shorthand: ``"observationMode": "directional"``
Granular object: ``"observation": {"user": {"observeMe": true, "observeOthers": true},
"ai": {"observeMe": true, "observeOthers": false}}``
Granular fields override preset defaults.
Resolution order: host-level wins over global.
String form: applies as the default for all peers.
Object form: { "default": "hybrid", "hermes": "honcho", ... }
"default" key sets the fallback; other keys are per-peer overrides.
"""
preset = _OBSERVATION_PRESETS.get(mode, _OBSERVATION_PRESETS["directional"])
if not observation_obj or not isinstance(observation_obj, dict):
return dict(preset)
user_block = observation_obj.get("user") or {}
ai_block = observation_obj.get("ai") or {}
return {
"user_observe_me": user_block.get("observeMe", preset["user_observe_me"]),
"user_observe_others": user_block.get("observeOthers", preset["user_observe_others"]),
"ai_observe_me": ai_block.get("observeMe", preset["ai_observe_me"]),
"ai_observe_others": ai_block.get("observeOthers", preset["ai_observe_others"]),
}
# Pick the winning value (host beats global)
val = host_val if host_val is not None else global_val
if isinstance(val, dict):
default = val.get("default", "hybrid")
overrides = {k: v for k, v in val.items() if k != "default"}
else:
default = str(val) if val else "hybrid"
overrides = {}
return {"memory_mode": default, "peer_memory_modes": overrides}
@dataclass
@@ -162,9 +132,22 @@ class HonchoClientConfig:
# Identity
peer_name: str | None = None
ai_peer: str = "hermes"
linked_hosts: list[str] = field(default_factory=list)
# Toggles
enabled: bool = False
save_messages: bool = True
# memoryMode: default for all peers. "hybrid" / "honcho"
memory_mode: str = "hybrid"
# Per-peer overrides — any named Honcho peer. Override memory_mode when set.
# Config object form: "memoryMode": { "default": "hybrid", "hermes": "honcho" }
peer_memory_modes: dict[str, str] = field(default_factory=dict)
def peer_memory_mode(self, peer_name: str) -> str:
"""Return the effective memory mode for a named peer.
Resolution: per-peer override global memory_mode default.
"""
return self.peer_memory_modes.get(peer_name, self.memory_mode)
# Write frequency: "async" (background thread), "turn" (sync per turn),
# "session" (flush on session end), or int (every N turns)
write_frequency: str | int = "async"
@@ -172,32 +155,19 @@ class HonchoClientConfig:
context_tokens: int | None = None
# Dialectic (peer.chat) settings
# reasoning_level: "minimal" | "low" | "medium" | "high" | "max"
# Used as the default; prefetch_dialectic may bump it dynamically.
dialectic_reasoning_level: str = "low"
# dynamic: auto-bump reasoning level based on query length
# true — low->medium (120+ chars), low->high (400+ chars), capped at "high"
# false — always use dialecticReasoningLevel as-is
dialectic_dynamic: bool = True
# Max chars of dialectic result to inject into Hermes system prompt
dialectic_max_chars: int = 600
# Honcho API limits — configurable for self-hosted instances
# Max chars per message sent via add_messages() (Honcho cloud: 25000)
message_max_chars: int = 25000
# Max chars for dialectic query input to peer.chat() (Honcho cloud: 10000)
dialectic_max_input_chars: int = 10000
# Recall mode: how memory retrieval works when Honcho is active.
# "hybrid" — auto-injected context + Honcho tools available (model decides)
# "context" — auto-injected context only, Honcho tools removed
# "tools" — Honcho tools only, no auto-injected context
recall_mode: str = "hybrid"
# Observation mode: legacy string shorthand ("directional" or "unified").
# Kept for backward compat; granular per-peer booleans below are preferred.
observation_mode: str = "directional"
# Per-peer observation booleans — maps 1:1 to Honcho's SessionPeerConfig.
# Resolved from "observation" object in config, falling back to observation_mode preset.
user_observe_me: bool = True
user_observe_others: bool = True
ai_observe_me: bool = True
ai_observe_others: bool = True
# Observation mode: how Honcho peers observe each other.
# "unified" — user peer observes self; all agents share one observation pool
# "directional" — AI peer observes user; each agent keeps its own view
observation_mode: str = "unified"
# Session resolution
session_strategy: str = "per-directory"
session_peer_prefix: bool = False
@@ -268,6 +238,8 @@ class HonchoClientConfig:
or raw.get("aiPeer")
or resolved_host
)
linked_hosts = host_block.get("linkedHosts", [])
api_key = (
host_block.get("apiKey")
or raw.get("apiKey")
@@ -281,7 +253,6 @@ class HonchoClientConfig:
base_url = (
raw.get("baseUrl")
or raw.get("base_url")
or os.environ.get("HONCHO_BASE_URL", "").strip()
or None
)
@@ -332,8 +303,13 @@ class HonchoClientConfig:
base_url=base_url,
peer_name=host_block.get("peerName") or raw.get("peerName"),
ai_peer=ai_peer,
linked_hosts=linked_hosts,
enabled=enabled,
save_messages=save_messages,
**_resolve_memory_mode(
raw.get("memoryMode", "hybrid"),
host_block.get("memoryMode"),
),
write_frequency=write_frequency,
context_tokens=host_block.get("contextTokens") or raw.get("contextTokens"),
dialectic_reasoning_level=(
@@ -341,48 +317,20 @@ class HonchoClientConfig:
or raw.get("dialecticReasoningLevel")
or "low"
),
dialectic_dynamic=_resolve_bool(
host_block.get("dialecticDynamic"),
raw.get("dialecticDynamic"),
default=True,
),
dialectic_max_chars=int(
host_block.get("dialecticMaxChars")
or raw.get("dialecticMaxChars")
or 600
),
message_max_chars=int(
host_block.get("messageMaxChars")
or raw.get("messageMaxChars")
or 25000
),
dialectic_max_input_chars=int(
host_block.get("dialecticMaxInputChars")
or raw.get("dialecticMaxInputChars")
or 10000
),
recall_mode=_normalize_recall_mode(
host_block.get("recallMode")
or raw.get("recallMode")
or "hybrid"
),
# Migration guard: existing configs without an explicit
# observationMode keep the old "unified" default so users
# aren't silently switched to full bidirectional observation.
# New installations (no host block, no credentials) get
# "directional" (all observations on) as the new default.
observation_mode=_normalize_observation_mode(
host_block.get("observationMode")
or raw.get("observationMode")
or ("unified" if _explicitly_configured else "directional")
),
**_resolve_observation(
_normalize_observation_mode(
host_block.get("observationMode")
or raw.get("observationMode")
or ("unified" if _explicitly_configured else "directional")
),
host_block.get("observation") or raw.get("observation"),
or "unified"
),
session_strategy=session_strategy,
session_peer_prefix=session_peer_prefix,
@@ -464,6 +412,17 @@ class HonchoClientConfig:
# global: single session across all directories
return self.workspace_id
def get_linked_workspaces(self) -> list[str]:
"""Resolve linked host keys to workspace names."""
hosts = self.raw.get("hosts", {})
workspaces = []
for host_key in self.linked_hosts:
block = hosts.get(host_key, {})
ws = block.get("workspace") or host_key
if ws != self.workspace_id:
workspaces.append(ws)
return workspaces
_honcho_client: Honcho | None = None
@@ -519,22 +478,12 @@ def get_honcho_client(config: HonchoClientConfig | None = None) -> Honcho:
# Local Honcho instances don't require an API key, but the SDK
# expects a non-empty string. Use a placeholder for local URLs.
# For local: only use config.api_key if the host block explicitly
# sets apiKey (meaning the user wants local auth). Otherwise skip
# the stored key -- it's likely a cloud key that would break local.
_is_local = resolved_base_url and (
"localhost" in resolved_base_url
or "127.0.0.1" in resolved_base_url
or "::1" in resolved_base_url
)
if _is_local:
# Check if the host block has its own apiKey (explicit local auth)
_raw = config.raw or {}
_host_block = (_raw.get("hosts") or {}).get(config.host, {})
_host_has_key = bool(_host_block.get("apiKey"))
effective_api_key = config.api_key if _host_has_key else "local"
else:
effective_api_key = config.api_key
effective_api_key = config.api_key or ("local" if _is_local else None)
kwargs: dict = {
"workspace_id": config.workspace_id,
+87 -143
View File
@@ -86,7 +86,7 @@ class HonchoSessionManager:
honcho: Optional Honcho client. If not provided, uses the singleton.
context_tokens: Max tokens for context() calls (None = Honcho default).
config: HonchoClientConfig from global config (provides peer_name, ai_peer,
write_frequency, observation, etc.).
write_frequency, memory_mode, etc.).
"""
self._honcho = honcho
self._context_tokens = context_tokens
@@ -107,25 +107,11 @@ class HonchoSessionManager:
self._dialectic_reasoning_level: str = (
config.dialectic_reasoning_level if config else "low"
)
self._dialectic_dynamic: bool = (
config.dialectic_dynamic if config else True
)
self._dialectic_max_chars: int = (
config.dialectic_max_chars if config else 600
)
self._observation_mode: str = (
config.observation_mode if config else "directional"
)
# Per-peer observation booleans (granular, from config)
self._user_observe_me: bool = config.user_observe_me if config else True
self._user_observe_others: bool = config.user_observe_others if config else True
self._ai_observe_me: bool = config.ai_observe_me if config else True
self._ai_observe_others: bool = config.ai_observe_others if config else True
self._message_max_chars: int = (
config.message_max_chars if config else 25000
)
self._dialectic_max_input_chars: int = (
config.dialectic_max_input_chars if config else 10000
config.observation_mode if config else "unified"
)
# Async write queue — started lazily on first enqueue
@@ -176,43 +162,20 @@ class HonchoSessionManager:
session = self.honcho.session(session_id)
# Configure per-peer observation from granular booleans.
# These map 1:1 to Honcho's SessionPeerConfig toggles.
# Configure peer observation settings based on observation_mode.
# Unified: user peer observes self, AI peer passive — all agents share
# one observation pool via user self-observations.
# Directional: AI peer observes user — each agent keeps its own view.
try:
from honcho.session import SessionPeerConfig
user_config = SessionPeerConfig(
observe_me=self._user_observe_me,
observe_others=self._user_observe_others,
)
ai_config = SessionPeerConfig(
observe_me=self._ai_observe_me,
observe_others=self._ai_observe_others,
)
if self._observation_mode == "directional":
user_config = SessionPeerConfig(observe_me=True, observe_others=False)
ai_config = SessionPeerConfig(observe_me=False, observe_others=True)
else: # unified (default)
user_config = SessionPeerConfig(observe_me=True, observe_others=False)
ai_config = SessionPeerConfig(observe_me=False, observe_others=False)
session.add_peers([(user_peer, user_config), (assistant_peer, ai_config)])
# Sync back: server-side config (set via Honcho UI) wins over
# local defaults. Read the effective config after add_peers.
# Note: observation booleans are manager-scoped, not per-session.
# Last session init wins. Fine for CLI; gateway should scope per-session.
try:
server_user = session.get_peer_configuration(user_peer)
server_ai = session.get_peer_configuration(assistant_peer)
if server_user.observe_me is not None:
self._user_observe_me = server_user.observe_me
if server_user.observe_others is not None:
self._user_observe_others = server_user.observe_others
if server_ai.observe_me is not None:
self._ai_observe_me = server_ai.observe_me
if server_ai.observe_others is not None:
self._ai_observe_others = server_ai.observe_others
logger.debug(
"Honcho observation synced from server: user(me=%s,others=%s) ai(me=%s,others=%s)",
self._user_observe_me, self._user_observe_others,
self._ai_observe_me, self._ai_observe_others,
)
except Exception as e:
logger.debug("Honcho get_peer_configuration failed (using local config): %s", e)
except Exception as e:
logger.warning(
"Honcho session '%s' add_peers failed (non-fatal): %s",
@@ -488,22 +451,17 @@ class HonchoSessionManager:
def _dynamic_reasoning_level(self, query: str) -> str:
"""
Pick a reasoning level for a dialectic query.
Pick a reasoning level based on message complexity.
When dialecticDynamic is true (default), auto-bumps based on query
length so Honcho applies more inference where it matters:
Uses the configured default as a floor; bumps up for longer or
more complex messages so Honcho applies more inference where it matters.
< 120 chars -> configured default (typically "low")
120-400 chars -> +1 level above default (cap at "high")
> 400 chars -> +2 levels above default (cap at "high")
< 120 chars default (typically "low")
120400 chars one level above default (cap at "high")
> 400 chars two levels above default (cap at "high")
"max" is never selected automatically -- reserve it for explicit config.
When dialecticDynamic is false, always returns the configured level.
"max" is never selected automatically reserve it for explicit config.
"""
if not self._dialectic_dynamic:
return self._dialectic_reasoning_level
levels = self._REASONING_LEVELS
default_idx = levels.index(self._dialectic_reasoning_level) if self._dialectic_reasoning_level in levels else 1
n = len(query)
@@ -543,15 +501,11 @@ class HonchoSessionManager:
if not session:
return ""
# Guard: truncate query to Honcho's dialectic input limit
if len(query) > self._dialectic_max_input_chars:
query = query[:self._dialectic_max_input_chars].rsplit(" ", 1)[0]
level = reasoning_level or self._dynamic_reasoning_level(query)
try:
if self._ai_observe_others:
# AI peer can observe user — use cross-observation routing
if self._observation_mode == "directional":
# AI peer queries about the user (cross-observation)
if peer == "ai":
ai_peer_obj = self._get_or_create_peer(session.assistant_peer_id)
result = ai_peer_obj.chat(query, reasoning_level=level) or ""
@@ -563,7 +517,7 @@ class HonchoSessionManager:
reasoning_level=level,
) or ""
else:
# AI can't observe others — each peer queries self
# Unified: user peer queries self, or AI peer queries self
peer_id = session.assistant_peer_id if peer == "ai" else session.user_peer_id
target_peer = self._get_or_create_peer(peer_id)
result = target_peer.chat(query, reasoning_level=level) or ""
@@ -664,19 +618,35 @@ class HonchoSessionManager:
if not session:
return {}
honcho_session = self._sessions_cache.get(session.honcho_session_id)
if not honcho_session:
return {}
result: dict[str, str] = {}
try:
user_ctx = self._fetch_peer_context(session.user_peer_id)
result["representation"] = user_ctx["representation"]
result["card"] = "\n".join(user_ctx["card"])
ctx = honcho_session.context(
summary=False,
tokens=self._context_tokens,
peer_target=session.user_peer_id,
peer_perspective=session.assistant_peer_id,
)
card = ctx.peer_card or []
result["representation"] = ctx.peer_representation or ""
result["card"] = "\n".join(card) if isinstance(card, list) else str(card)
except Exception as e:
logger.warning("Failed to fetch user context from Honcho: %s", e)
# Also fetch AI peer's own representation so Hermes knows itself.
try:
ai_ctx = self._fetch_peer_context(session.assistant_peer_id)
result["ai_representation"] = ai_ctx["representation"]
result["ai_card"] = "\n".join(ai_ctx["card"])
ai_ctx = honcho_session.context(
summary=False,
tokens=self._context_tokens,
peer_target=session.assistant_peer_id,
peer_perspective=session.user_peer_id,
)
ai_card = ai_ctx.peer_card or []
result["ai_representation"] = ai_ctx.peer_representation or ""
result["ai_card"] = "\n".join(ai_card) if isinstance(ai_card, list) else str(ai_card)
except Exception as e:
logger.debug("Failed to fetch AI peer context from Honcho: %s", e)
@@ -853,64 +823,6 @@ class HonchoSessionManager:
return uploaded
@staticmethod
def _normalize_card(card: Any) -> list[str]:
"""Normalize Honcho card payloads into a plain list of strings."""
if not card:
return []
if isinstance(card, list):
return [str(item) for item in card if item]
return [str(card)]
def _fetch_peer_card(self, peer_id: str) -> list[str]:
"""Fetch a peer card directly from the peer object.
This avoids relying on session.context(), which can return an empty
peer_card for per-session messaging sessions even when the peer itself
has a populated card.
"""
peer = self._get_or_create_peer(peer_id)
getter = getattr(peer, "get_card", None)
if callable(getter):
return self._normalize_card(getter())
legacy_getter = getattr(peer, "card", None)
if callable(legacy_getter):
return self._normalize_card(legacy_getter())
return []
def _fetch_peer_context(self, peer_id: str, search_query: str | None = None) -> dict[str, Any]:
"""Fetch representation + peer card directly from a peer object."""
peer = self._get_or_create_peer(peer_id)
representation = ""
card: list[str] = []
try:
ctx = peer.context(search_query=search_query) if search_query else peer.context()
representation = (
getattr(ctx, "representation", None)
or getattr(ctx, "peer_representation", None)
or ""
)
card = self._normalize_card(getattr(ctx, "peer_card", None))
except Exception as e:
logger.debug("Direct peer.context() failed for '%s': %s", peer_id, e)
if not representation:
try:
representation = peer.representation() or ""
except Exception as e:
logger.debug("Direct peer.representation() failed for '%s': %s", peer_id, e)
if not card:
try:
card = self._fetch_peer_card(peer_id)
except Exception as e:
logger.debug("Direct peer card fetch failed for '%s': %s", peer_id, e)
return {"representation": representation, "card": card}
def get_peer_card(self, session_key: str) -> list[str]:
"""
Fetch the user peer's card — a curated list of key facts.
@@ -923,8 +835,19 @@ class HonchoSessionManager:
if not session:
return []
honcho_session = self._sessions_cache.get(session.honcho_session_id)
if not honcho_session:
return []
try:
return self._fetch_peer_card(session.user_peer_id)
ctx = honcho_session.context(
summary=False,
tokens=200,
peer_target=session.user_peer_id,
peer_perspective=session.assistant_peer_id,
)
card = ctx.peer_card or []
return card if isinstance(card, list) else [str(card)]
except Exception as e:
logger.debug("Failed to fetch peer card from Honcho: %s", e)
return []
@@ -949,14 +872,25 @@ class HonchoSessionManager:
if not session:
return ""
honcho_session = self._sessions_cache.get(session.honcho_session_id)
if not honcho_session:
return ""
try:
ctx = self._fetch_peer_context(session.user_peer_id, search_query=query)
ctx = honcho_session.context(
summary=False,
tokens=max_tokens,
peer_target=session.user_peer_id,
peer_perspective=session.assistant_peer_id,
search_query=query,
)
parts = []
if ctx["representation"]:
parts.append(ctx["representation"])
card = ctx["card"] or []
if ctx.peer_representation:
parts.append(ctx.peer_representation)
card = ctx.peer_card or []
if card:
parts.append("\n".join(f"- {f}" for f in card))
facts = card if isinstance(card, list) else [str(card)]
parts.append("\n".join(f"- {f}" for f in facts))
return "\n\n".join(parts)
except Exception as e:
logger.debug("Honcho search_context failed: %s", e)
@@ -985,12 +919,12 @@ class HonchoSessionManager:
return False
try:
if self._ai_observe_others:
if self._observation_mode == "directional":
# AI peer creates conclusion about user (cross-observation)
assistant_peer = self._get_or_create_peer(session.assistant_peer_id)
conclusions_scope = assistant_peer.conclusions_of(session.user_peer_id)
else:
# AI can't observe others — user peer creates self-conclusion
# Unified: user peer creates self-conclusion
user_peer = self._get_or_create_peer(session.user_peer_id)
conclusions_scope = user_peer.conclusions_of(session.user_peer_id)
@@ -1060,11 +994,21 @@ class HonchoSessionManager:
if not session:
return {"representation": "", "card": ""}
honcho_session = self._sessions_cache.get(session.honcho_session_id)
if not honcho_session:
return {"representation": "", "card": ""}
try:
ctx = self._fetch_peer_context(session.assistant_peer_id)
ctx = honcho_session.context(
summary=False,
tokens=self._context_tokens,
peer_target=session.assistant_peer_id,
peer_perspective=session.user_peer_id,
)
ai_card = ctx.peer_card or []
return {
"representation": ctx["representation"] or "",
"card": "\n".join(ctx["card"]),
"representation": ctx.peer_representation or "",
"card": "\n".join(ai_card) if isinstance(ai_card, list) else str(ai_card),
}
except Exception as e:
logger.debug("Failed to fetch AI representation: %s", e)

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