feat: scroll aware sticky prompt

This commit is contained in:
Brooklyn Nicholson
2026-04-14 11:49:32 -05:00
141 changed files with 8867 additions and 829 deletions

View File

@@ -224,7 +224,7 @@ PROVIDER_REGISTRY: Dict[str, ProviderConfig] = {
),
"ai-gateway": ProviderConfig(
id="ai-gateway",
name="AI Gateway",
name="Vercel AI Gateway",
auth_type="api_key",
inference_base_url="https://ai-gateway.vercel.sh/v1",
api_key_env_vars=("AI_GATEWAY_API_KEY",),

View File

@@ -12,6 +12,9 @@ from __future__ import annotations
import os
import re
import shutil
import subprocess
import time
from collections.abc import Callable, Mapping
from dataclasses import dataclass
from typing import Any
@@ -614,6 +617,10 @@ class SlashCommandCompleter(Completer):
) -> None:
self._skill_commands_provider = skill_commands_provider
self._command_filter = command_filter
# Cached project file list for fuzzy @ completions
self._file_cache: list[str] = []
self._file_cache_time: float = 0.0
self._file_cache_cwd: str = ""
def _command_allowed(self, slash_command: str) -> bool:
if self._command_filter is None:
@@ -798,46 +805,138 @@ class SlashCommandCompleter(Completer):
count += 1
return
# Bare @ or @partial — show matching files/folders from cwd
# Bare @ or @partial — fuzzy project-wide file search
query = word[1:] # strip the @
if not query:
search_dir, match_prefix = ".", ""
else:
expanded = os.path.expanduser(query)
if expanded.endswith("/"):
search_dir, match_prefix = expanded, ""
else:
search_dir = os.path.dirname(expanded) or "."
match_prefix = os.path.basename(expanded)
yield from self._fuzzy_file_completions(word, query, limit)
try:
entries = os.listdir(search_dir)
except OSError:
def _get_project_files(self) -> list[str]:
"""Return cached list of project files (refreshed every 5s)."""
cwd = os.getcwd()
now = time.monotonic()
if (
self._file_cache
and self._file_cache_cwd == cwd
and now - self._file_cache_time < 5.0
):
return self._file_cache
files: list[str] = []
# Try rg first (fast, respects .gitignore), then fd, then find.
for cmd in [
["rg", "--files", "--sortr=modified", cwd],
["rg", "--files", cwd],
["fd", "--type", "f", "--base-directory", cwd],
]:
tool = cmd[0]
if not shutil.which(tool):
continue
try:
proc = subprocess.run(
cmd, capture_output=True, text=True, timeout=2,
cwd=cwd,
)
if proc.returncode == 0 and proc.stdout.strip():
raw = proc.stdout.strip().split("\n")
# Store relative paths
for p in raw[:5000]:
rel = os.path.relpath(p, cwd) if os.path.isabs(p) else p
files.append(rel)
break
except (subprocess.TimeoutExpired, OSError):
continue
self._file_cache = files
self._file_cache_time = now
self._file_cache_cwd = cwd
return files
@staticmethod
def _score_path(filepath: str, query: str) -> int:
"""Score a file path against a fuzzy query. Higher = better match."""
if not query:
return 1 # show everything when query is empty
filename = os.path.basename(filepath)
lower_file = filename.lower()
lower_path = filepath.lower()
lower_q = query.lower()
# Exact filename match
if lower_file == lower_q:
return 100
# Filename starts with query
if lower_file.startswith(lower_q):
return 80
# Filename contains query as substring
if lower_q in lower_file:
return 60
# Full path contains query
if lower_q in lower_path:
return 40
# Initials / abbreviation match: e.g. "fo" matches "file_operations"
# Check if query chars appear in order in filename
qi = 0
for c in lower_file:
if qi < len(lower_q) and c == lower_q[qi]:
qi += 1
if qi == len(lower_q):
# Bonus if matches land on word boundaries (after _, -, /, .)
boundary_hits = 0
qi = 0
prev = "_" # treat start as boundary
for c in lower_file:
if qi < len(lower_q) and c == lower_q[qi]:
if prev in "_-./":
boundary_hits += 1
qi += 1
prev = c
if boundary_hits >= len(lower_q) * 0.5:
return 35
return 25
return 0
def _fuzzy_file_completions(self, word: str, query: str, limit: int = 20):
"""Yield fuzzy file completions for bare @query."""
files = self._get_project_files()
if not query:
# No query — show recently modified files (already sorted by mtime)
for fp in files[:limit]:
is_dir = fp.endswith("/")
filename = os.path.basename(fp)
kind = "folder" if is_dir else "file"
meta = "dir" if is_dir else _file_size_label(
os.path.join(os.getcwd(), fp)
)
yield Completion(
f"@{kind}:{fp}",
start_position=-len(word),
display=filename,
display_meta=meta,
)
return
count = 0
prefix_lower = match_prefix.lower()
for entry in sorted(entries):
if match_prefix and not entry.lower().startswith(prefix_lower):
continue
if entry.startswith("."):
continue # skip hidden files in bare @ mode
if count >= limit:
break
full_path = os.path.join(search_dir, entry)
is_dir = os.path.isdir(full_path)
display_path = os.path.relpath(full_path)
suffix = "/" if is_dir else ""
# Score and rank
scored = []
for fp in files:
s = self._score_path(fp, query)
if s > 0:
scored.append((s, fp))
scored.sort(key=lambda x: (-x[0], x[1]))
for _, fp in scored[:limit]:
is_dir = fp.endswith("/")
filename = os.path.basename(fp)
kind = "folder" if is_dir else "file"
meta = "dir" if is_dir else _file_size_label(full_path)
completion = f"@{kind}:{display_path}{suffix}"
yield Completion(
completion,
start_position=-len(word),
display=entry + suffix,
display_meta=meta,
meta = "dir" if is_dir else _file_size_label(
os.path.join(os.getcwd(), fp)
)
yield Completion(
f"@{kind}:{fp}",
start_position=-len(word),
display=filename,
display_meta=f"{fp} {meta}" if meta else fp,
)
count += 1
@staticmethod
def _skin_completions(sub_text: str, sub_lower: str):

View File

@@ -45,6 +45,9 @@ _EXTRA_ENV_KEYS = frozenset({
"WEIXIN_HOME_CHANNEL", "WEIXIN_HOME_CHANNEL_NAME", "WEIXIN_DM_POLICY", "WEIXIN_GROUP_POLICY",
"WEIXIN_ALLOWED_USERS", "WEIXIN_GROUP_ALLOWED_USERS", "WEIXIN_ALLOW_ALL_USERS",
"BLUEBUBBLES_SERVER_URL", "BLUEBUBBLES_PASSWORD",
"QQ_APP_ID", "QQ_CLIENT_SECRET", "QQ_HOME_CHANNEL", "QQ_HOME_CHANNEL_NAME",
"QQ_ALLOWED_USERS", "QQ_GROUP_ALLOWED_USERS", "QQ_ALLOW_ALL_USERS", "QQ_MARKDOWN_SUPPORT",
"QQ_STT_API_KEY", "QQ_STT_BASE_URL", "QQ_STT_MODEL",
"TERMINAL_ENV", "TERMINAL_SSH_KEY", "TERMINAL_SSH_PORT",
"WHATSAPP_MODE", "WHATSAPP_ENABLED",
"MATTERMOST_HOME_CHANNEL", "MATTERMOST_REPLY_MODE",
@@ -1331,6 +1334,53 @@ OPTIONAL_ENV_VARS = {
"password": False,
"category": "messaging",
},
"BLUEBUBBLES_ALLOW_ALL_USERS": {
"description": "Allow all BlueBubbles users without allowlist",
"prompt": "Allow All BlueBubbles Users",
"category": "messaging",
},
"QQ_APP_ID": {
"description": "QQ Bot App ID from QQ Open Platform (q.qq.com)",
"prompt": "QQ App ID",
"url": "https://q.qq.com",
"category": "messaging",
},
"QQ_CLIENT_SECRET": {
"description": "QQ Bot Client Secret from QQ Open Platform",
"prompt": "QQ Client Secret",
"password": True,
"category": "messaging",
},
"QQ_ALLOWED_USERS": {
"description": "Comma-separated QQ user IDs allowed to use the bot",
"prompt": "QQ Allowed Users",
"category": "messaging",
},
"QQ_GROUP_ALLOWED_USERS": {
"description": "Comma-separated QQ group IDs allowed to interact with the bot",
"prompt": "QQ Group Allowed Users",
"category": "messaging",
},
"QQ_ALLOW_ALL_USERS": {
"description": "Allow all QQ users without an allowlist (true/false)",
"prompt": "Allow All QQ Users",
"category": "messaging",
},
"QQ_HOME_CHANNEL": {
"description": "Default QQ channel/group for cron delivery and notifications",
"prompt": "QQ Home Channel",
"category": "messaging",
},
"QQ_HOME_CHANNEL_NAME": {
"description": "Display name for the QQ home channel",
"prompt": "QQ Home Channel Name",
"category": "messaging",
},
"QQ_SANDBOX": {
"description": "Enable QQ sandbox mode for development testing (true/false)",
"prompt": "QQ Sandbox Mode",
"category": "messaging",
},
"GATEWAY_ALLOW_ALL_USERS": {
"description": "Allow all users to interact with messaging bots (true/false). Default: false.",
"prompt": "Allow all users (true/false)",

View File

@@ -729,7 +729,7 @@ def run_doctor(args):
# MiniMax: the /anthropic endpoint doesn't support /models, but the /v1 endpoint does.
("MiniMax", ("MINIMAX_API_KEY",), "https://api.minimax.io/v1/models", "MINIMAX_BASE_URL", True),
("MiniMax (China)", ("MINIMAX_CN_API_KEY",), "https://api.minimaxi.com/v1/models", "MINIMAX_CN_BASE_URL", True),
("AI Gateway", ("AI_GATEWAY_API_KEY",), "https://ai-gateway.vercel.sh/v1/models", "AI_GATEWAY_BASE_URL", True),
("Vercel AI Gateway", ("AI_GATEWAY_API_KEY",), "https://ai-gateway.vercel.sh/v1/models", "AI_GATEWAY_BASE_URL", True),
("Kilo Code", ("KILOCODE_API_KEY",), "https://api.kilo.ai/api/gateway/models", "KILOCODE_BASE_URL", True),
("OpenCode Zen", ("OPENCODE_ZEN_API_KEY",), "https://opencode.ai/zen/v1/models", "OPENCODE_ZEN_BASE_URL", True),
("OpenCode Go", ("OPENCODE_GO_API_KEY",), "https://opencode.ai/zen/go/v1/models", "OPENCODE_GO_BASE_URL", True),

View File

@@ -131,6 +131,7 @@ def _configured_platforms() -> list[str]:
"wecom": "WECOM_BOT_ID",
"wecom_callback": "WECOM_CALLBACK_CORP_ID",
"weixin": "WEIXIN_ACCOUNT_ID",
"qqbot": "QQ_APP_ID",
}
return [name for name, env in checks.items() if os.getenv(env)]

View File

@@ -1913,6 +1913,29 @@ _PLATFORMS = [
"help": "Phone number or Apple ID to deliver cron results and notifications to."},
],
},
{
"key": "qqbot",
"label": "QQ Bot",
"emoji": "🐧",
"token_var": "QQ_APP_ID",
"setup_instructions": [
"1. Register a QQ Bot application at q.qq.com",
"2. Note your App ID and App Secret from the application page",
"3. Enable the required intents (C2C, Group, Guild messages)",
"4. Configure sandbox or publish the bot",
],
"vars": [
{"name": "QQ_APP_ID", "prompt": "QQ Bot App ID", "password": False,
"help": "Your QQ Bot App ID from q.qq.com."},
{"name": "QQ_CLIENT_SECRET", "prompt": "QQ Bot App Secret", "password": True,
"help": "Your QQ Bot App Secret from q.qq.com."},
{"name": "QQ_ALLOWED_USERS", "prompt": "Allowed user OpenIDs (comma-separated, leave empty for open access)", "password": False,
"is_allowlist": True,
"help": "Optional — restrict DM access to specific user OpenIDs."},
{"name": "QQ_HOME_CHANNEL", "prompt": "Home channel (user/group OpenID for cron delivery, or empty)", "password": False,
"help": "OpenID to deliver cron results and notifications to."},
],
},
]

View File

@@ -1839,6 +1839,10 @@ def _model_flow_custom(config):
model_name = input("Model name (e.g. gpt-4, llama-3-70b): ").strip()
context_length_str = input("Context length in tokens [leave blank for auto-detect]: ").strip()
# Prompt for a display name — shown in the provider menu on future runs
default_name = _auto_provider_name(effective_url)
display_name = input(f"Display name [{default_name}]: ").strip() or default_name
except (KeyboardInterrupt, EOFError):
print("\nCancelled.")
return
@@ -1894,15 +1898,37 @@ def _model_flow_custom(config):
print("Endpoint saved. Use `/model` in chat or `hermes model` to set a model.")
# Auto-save to custom_providers so it appears in the menu next time
_save_custom_provider(effective_url, effective_key, model_name or "", context_length=context_length)
_save_custom_provider(effective_url, effective_key, model_name or "",
context_length=context_length, name=display_name)
def _save_custom_provider(base_url, api_key="", model="", context_length=None):
def _auto_provider_name(base_url: str) -> str:
"""Generate a display name from a custom endpoint URL.
Returns a human-friendly label like "Local (localhost:11434)" or
"RunPod (xyz.runpod.io)". Used as the default when prompting the
user for a display name during custom endpoint setup.
"""
import re
clean = base_url.replace("https://", "").replace("http://", "").rstrip("/")
clean = re.sub(r"/v1/?$", "", clean)
name = clean.split("/")[0]
if "localhost" in name or "127.0.0.1" in name:
name = f"Local ({name})"
elif "runpod" in name.lower():
name = f"RunPod ({name})"
else:
name = name.capitalize()
return name
def _save_custom_provider(base_url, api_key="", model="", context_length=None,
name=None):
"""Save a custom endpoint to custom_providers in config.yaml.
Deduplicates by base_url — if the URL already exists, updates the
model name and context_length but doesn't add a duplicate entry.
Auto-generates a display name from the URL hostname.
Uses *name* when provided, otherwise auto-generates from the URL.
"""
from hermes_cli.config import load_config, save_config
@@ -1930,20 +1956,9 @@ def _save_custom_provider(base_url, api_key="", model="", context_length=None):
save_config(cfg)
return # already saved, updated if needed
# Auto-generate a name from the URL
import re
clean = base_url.replace("https://", "").replace("http://", "").rstrip("/")
# Remove /v1 suffix for cleaner names
clean = re.sub(r"/v1/?$", "", clean)
# Use hostname:port as the name
name = clean.split("/")[0]
# Capitalize for readability
if "localhost" in name or "127.0.0.1" in name:
name = f"Local ({name})"
elif "runpod" in name.lower():
name = f"RunPod ({name})"
else:
name = name.capitalize()
# Use provided name or auto-generate from URL
if not name:
name = _auto_provider_name(base_url)
entry = {"name": name, "base_url": base_url}
if api_key:

View File

@@ -705,6 +705,10 @@ def switch_model(
error_message=msg,
)
# Apply auto-correction if validation found a closer match
if validation.get("corrected_model"):
new_model = validation["corrected_model"]
# --- OpenCode api_mode override ---
if target_provider in {"opencode-zen", "opencode-go", "opencode", "opencode-go"}:
api_mode = opencode_model_api_mode(target_provider, new_model)

View File

@@ -29,6 +29,7 @@ OPENROUTER_MODELS: list[tuple[str, str]] = [
("qwen/qwen3.6-plus", ""),
("anthropic/claude-sonnet-4.5", ""),
("anthropic/claude-haiku-4.5", ""),
("openrouter/elephant-alpha", "free"),
("openai/gpt-5.4", ""),
("openai/gpt-5.4-mini", ""),
("xiaomi/mimo-v2-pro", ""),
@@ -97,6 +98,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"arcee-ai/trinity-large-thinking",
"openai/gpt-5.4-pro",
"openai/gpt-5.4-nano",
"openrouter/elephant-alpha",
],
"openai-codex": _codex_curated_models(),
"copilot-acp": [
@@ -512,6 +514,7 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("openrouter", "OpenRouter", "OpenRouter (100+ models, pay-per-use)"),
ProviderEntry("anthropic", "Anthropic", "Anthropic (Claude models — API key or Claude Code)"),
ProviderEntry("openai-codex", "OpenAI Codex", "OpenAI Codex"),
ProviderEntry("xiaomi", "Xiaomi MiMo", "Xiaomi MiMo (MiMo-V2 models — pro, omni, flash)"),
ProviderEntry("qwen-oauth", "Qwen OAuth (Portal)", "Qwen OAuth (reuses local Qwen CLI login)"),
ProviderEntry("copilot", "GitHub Copilot", "GitHub Copilot (uses GITHUB_TOKEN or gh auth token)"),
ProviderEntry("copilot-acp", "GitHub Copilot ACP", "GitHub Copilot ACP (spawns `copilot --acp --stdio`)"),
@@ -525,12 +528,11 @@ CANONICAL_PROVIDERS: list[ProviderEntry] = [
ProviderEntry("minimax", "MiniMax", "MiniMax (global direct API)"),
ProviderEntry("minimax-cn", "MiniMax (China)", "MiniMax China (domestic direct API)"),
ProviderEntry("alibaba", "Alibaba Cloud (DashScope)","Alibaba Cloud / DashScope Coding (Qwen + multi-provider)"),
ProviderEntry("xiaomi", "Xiaomi MiMo", "Xiaomi MiMo (MiMo-V2 models — pro, omni, flash)"),
ProviderEntry("arcee", "Arcee AI", "Arcee AI (Trinity models — direct API)"),
ProviderEntry("kilocode", "Kilo Code", "Kilo Code (Kilo Gateway API)"),
ProviderEntry("opencode-zen", "OpenCode Zen", "OpenCode Zen (35+ curated models, pay-as-you-go)"),
ProviderEntry("opencode-go", "OpenCode Go", "OpenCode Go (open models, $10/month subscription)"),
ProviderEntry("ai-gateway", "AI Gateway", "AI Gateway (Vercel — 200+ models, pay-per-use)"),
ProviderEntry("ai-gateway", "Vercel AI Gateway", "Vercel AI Gateway (200+ models, pay-per-use)"),
]
# Derived dicts — used throughout the codebase
@@ -1818,6 +1820,17 @@ def validate_requested_model(
"message": None,
}
# Auto-correct if the top match is very similar (e.g. typo)
auto = get_close_matches(requested_for_lookup, api_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
@@ -1869,6 +1882,16 @@ def validate_requested_model(
"recognized": True,
"message": None,
}
# Auto-correct if the top match is very similar (e.g. typo)
auto = get_close_matches(requested_for_lookup, codex_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested_for_lookup, codex_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
@@ -1895,10 +1918,27 @@ def validate_requested_model(
"recognized": True,
"message": None,
}
suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
suggestion_text = "\n Similar models: " + ", ".join(f"`{s}`" for s in suggestions)
else:
# API responded but model is not listed. Accept anyway —
# the user may have access to models not shown in the public
# listing (e.g. Z.AI Pro/Max plans can use glm-5 on coding
# endpoints even though it's not in /models). Warn but allow.
# Auto-correct if the top match is very similar (e.g. typo)
auto = get_close_matches(requested_for_lookup, api_models, n=1, cutoff=0.9)
if auto:
return {
"accepted": True,
"persist": True,
"recognized": True,
"corrected_model": auto[0],
"message": f"Auto-corrected `{requested}` → `{auto[0]}`",
}
suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
suggestion_text = "\n Similar models: " + ", ".join(f"`{s}`" for s in suggestions)
return {
"accepted": False,

View File

@@ -35,6 +35,7 @@ PLATFORMS: OrderedDict[str, PlatformInfo] = OrderedDict([
("wecom", PlatformInfo(label="💬 WeCom", default_toolset="hermes-wecom")),
("wecom_callback", PlatformInfo(label="💬 WeCom Callback", default_toolset="hermes-wecom-callback")),
("weixin", PlatformInfo(label="💬 Weixin", default_toolset="hermes-weixin")),
("qqbot", PlatformInfo(label="💬 QQBot", default_toolset="hermes-qqbot")),
("webhook", PlatformInfo(label="🔗 Webhook", default_toolset="hermes-webhook")),
("api_server", PlatformInfo(label="🌐 API Server", default_toolset="hermes-api-server")),
])

View File

@@ -584,6 +584,45 @@ def invoke_hook(hook_name: str, **kwargs: Any) -> List[Any]:
def get_pre_tool_call_block_message(
tool_name: str,
args: Optional[Dict[str, Any]],
task_id: str = "",
session_id: str = "",
tool_call_id: str = "",
) -> Optional[str]:
"""Check ``pre_tool_call`` hooks for a blocking directive.
Plugins that need to enforce policy (rate limiting, security
restrictions, approval workflows) can return::
{"action": "block", "message": "Reason the tool was blocked"}
from their ``pre_tool_call`` callback. The first valid block
directive wins. Invalid or irrelevant hook return values are
silently ignored so existing observer-only hooks are unaffected.
"""
hook_results = invoke_hook(
"pre_tool_call",
tool_name=tool_name,
args=args if isinstance(args, dict) else {},
task_id=task_id,
session_id=session_id,
tool_call_id=tool_call_id,
)
for result in hook_results:
if not isinstance(result, dict):
continue
if result.get("action") != "block":
continue
message = result.get("message")
if isinstance(message, str) and message:
return message
return None
def get_plugin_context_engine():
"""Return the plugin-registered context engine, or None."""
return get_plugin_manager()._context_engine
@@ -608,7 +647,7 @@ def get_plugin_toolsets() -> List[tuple]:
toolset_tools: Dict[str, List[str]] = {}
toolset_plugin: Dict[str, LoadedPlugin] = {}
for tool_name in manager._plugin_tool_names:
entry = registry._tools.get(tool_name)
entry = registry.get_entry(tool_name)
if not entry:
continue
ts = entry.toolset
@@ -617,7 +656,7 @@ def get_plugin_toolsets() -> List[tuple]:
# Map toolsets back to the plugin that registered them
for _name, loaded in manager._plugins.items():
for tool_name in loaded.tools_registered:
entry = registry._tools.get(tool_name)
entry = registry.get_entry(tool_name)
if entry and entry.toolset in toolset_tools:
toolset_plugin.setdefault(entry.toolset, loaded)

View File

@@ -287,6 +287,9 @@ def _get_named_custom_provider(requested_provider: str) -> Optional[Dict[str, An
# Resolve the API key from the env var name stored in key_env
key_env = str(entry.get("key_env", "") or "").strip()
resolved_api_key = os.getenv(key_env, "").strip() if key_env else ""
# Fall back to inline api_key when key_env is absent or unresolvable
if not resolved_api_key:
resolved_api_key = str(entry.get("api_key", "") or "").strip()
if requested_norm in {ep_name, name_norm, f"custom:{name_norm}"}:
# Found match by provider key

View File

@@ -776,7 +776,7 @@ def setup_model_provider(config: dict, *, quick: bool = False):
"minimax": "MiniMax",
"minimax-cn": "MiniMax CN",
"anthropic": "Anthropic",
"ai-gateway": "AI Gateway",
"ai-gateway": "Vercel AI Gateway",
"custom": "your custom endpoint",
}
_prov_display = _prov_names.get(selected_provider, selected_provider or "your provider")
@@ -1969,6 +1969,54 @@ def _setup_wecom_callback():
_gw_setup()
def _setup_qqbot():
"""Configure QQ Bot gateway."""
print_header("QQ Bot")
existing = get_env_value("QQ_APP_ID")
if existing:
print_info("QQ Bot: already configured")
if not prompt_yes_no("Reconfigure QQ Bot?", False):
return
print_info("Connects Hermes to QQ via the Official QQ Bot API (v2).")
print_info(" Requires a QQ Bot application at q.qq.com")
print_info(" Reference: https://bot.q.qq.com/wiki/develop/api-v2/")
print()
app_id = prompt("QQ Bot App ID")
if not app_id:
print_warning("App ID is required — skipping QQ Bot setup")
return
save_env_value("QQ_APP_ID", app_id.strip())
client_secret = prompt("QQ Bot App Secret", password=True)
if not client_secret:
print_warning("App Secret is required — skipping QQ Bot setup")
return
save_env_value("QQ_CLIENT_SECRET", client_secret)
print_success("QQ Bot credentials saved")
print()
print_info("🔒 Security: Restrict who can DM your bot")
print_info(" Use QQ user OpenIDs (found in event payloads)")
print()
allowed_users = prompt("Allowed user OpenIDs (comma-separated, leave empty for open access)")
if allowed_users:
save_env_value("QQ_ALLOWED_USERS", allowed_users.replace(" ", ""))
print_success("QQ Bot allowlist configured")
else:
print_info("⚠️ No allowlist set — anyone can DM the bot!")
print()
print_info("📬 Home Channel: OpenID for cron job delivery and notifications.")
home_channel = prompt("Home channel OpenID (leave empty to set later)")
if home_channel:
save_env_value("QQ_HOME_CHANNEL", home_channel)
print()
print_success("QQ Bot configured!")
def _setup_bluebubbles():
"""Configure BlueBubbles iMessage gateway."""
print_header("BlueBubbles (iMessage)")
@@ -2034,6 +2082,15 @@ def _setup_bluebubbles():
print_info(" Install: https://docs.bluebubbles.app/helper-bundle/installation")
def _setup_qqbot():
"""Configure QQ Bot (Official API v2) via standard platform setup."""
from hermes_cli.gateway import _PLATFORMS
qq_platform = next((p for p in _PLATFORMS if p["key"] == "qqbot"), None)
if qq_platform:
from hermes_cli.gateway import _setup_standard_platform
_setup_standard_platform(qq_platform)
def _setup_webhooks():
"""Configure webhook integration."""
print_header("Webhooks")
@@ -2097,6 +2154,7 @@ _GATEWAY_PLATFORMS = [
("WeCom Callback (Self-Built App)", "WECOM_CALLBACK_CORP_ID", _setup_wecom_callback),
("Weixin (WeChat)", "WEIXIN_ACCOUNT_ID", _setup_weixin),
("BlueBubbles (iMessage)", "BLUEBUBBLES_SERVER_URL", _setup_bluebubbles),
("QQ Bot", "QQ_APP_ID", _setup_qqbot),
("Webhooks (GitHub, GitLab, etc.)", "WEBHOOK_ENABLED", _setup_webhooks),
]
@@ -2148,6 +2206,7 @@ def setup_gateway(config: dict):
or get_env_value("WECOM_BOT_ID")
or get_env_value("WEIXIN_ACCOUNT_ID")
or get_env_value("BLUEBUBBLES_SERVER_URL")
or get_env_value("QQ_APP_ID")
or get_env_value("WEBHOOK_ENABLED")
)
if any_messaging:
@@ -2169,6 +2228,8 @@ def setup_gateway(config: dict):
missing_home.append("Slack")
if get_env_value("BLUEBUBBLES_SERVER_URL") and not get_env_value("BLUEBUBBLES_HOME_CHANNEL"):
missing_home.append("BlueBubbles")
if get_env_value("QQ_APP_ID") and not get_env_value("QQ_HOME_CHANNEL"):
missing_home.append("QQBot")
if missing_home:
print()

View File

@@ -32,6 +32,12 @@ All fields are optional. Missing values inherit from the ``default`` skin.
response_border: "#FFD700" # Response box border (ANSI)
session_label: "#DAA520" # Session label color
session_border: "#8B8682" # Session ID dim color
status_bar_bg: "#1a1a2e" # TUI status/usage bar background
voice_status_bg: "#1a1a2e" # TUI voice status background
completion_menu_bg: "#1a1a2e" # Completion menu background
completion_menu_current_bg: "#333355" # Active completion row background
completion_menu_meta_bg: "#1a1a2e" # Completion meta column background
completion_menu_meta_current_bg: "#333355" # Active completion meta background
# Spinner: customize the animated spinner during API calls
spinner:
@@ -87,6 +93,8 @@ BUILT-IN SKINS
- ``ares`` — Crimson/bronze war-god theme with custom spinner wings
- ``mono`` — Clean grayscale monochrome
- ``slate`` — Cool blue developer-focused theme
- ``daylight`` — Light background theme with dark text and blue accents
- ``warm-lightmode`` — Warm brown/gold text for light terminal backgrounds
USER SKINS
==========
@@ -304,6 +312,80 @@ _BUILTIN_SKINS: Dict[str, Dict[str, Any]] = {
},
"tool_prefix": "",
},
"daylight": {
"name": "daylight",
"description": "Light theme for bright terminals with dark text and cool blue accents",
"colors": {
"banner_border": "#2563EB",
"banner_title": "#0F172A",
"banner_accent": "#1D4ED8",
"banner_dim": "#475569",
"banner_text": "#111827",
"ui_accent": "#2563EB",
"ui_label": "#0F766E",
"ui_ok": "#15803D",
"ui_error": "#B91C1C",
"ui_warn": "#B45309",
"prompt": "#111827",
"input_rule": "#93C5FD",
"response_border": "#2563EB",
"session_label": "#1D4ED8",
"session_border": "#64748B",
"status_bar_bg": "#E5EDF8",
"voice_status_bg": "#E5EDF8",
"completion_menu_bg": "#F8FAFC",
"completion_menu_current_bg": "#DBEAFE",
"completion_menu_meta_bg": "#EEF2FF",
"completion_menu_meta_current_bg": "#BFDBFE",
},
"spinner": {},
"branding": {
"agent_name": "Hermes Agent",
"welcome": "Welcome to Hermes Agent! Type your message or /help for commands.",
"goodbye": "Goodbye! ⚕",
"response_label": " ⚕ Hermes ",
"prompt_symbol": " ",
"help_header": "[?] Available Commands",
},
"tool_prefix": "",
},
"warm-lightmode": {
"name": "warm-lightmode",
"description": "Warm light mode — dark brown/gold text for light terminal backgrounds",
"colors": {
"banner_border": "#8B6914",
"banner_title": "#5C3D11",
"banner_accent": "#8B4513",
"banner_dim": "#8B7355",
"banner_text": "#2C1810",
"ui_accent": "#8B4513",
"ui_label": "#5C3D11",
"ui_ok": "#2E7D32",
"ui_error": "#C62828",
"ui_warn": "#E65100",
"prompt": "#2C1810",
"input_rule": "#8B6914",
"response_border": "#8B6914",
"session_label": "#5C3D11",
"session_border": "#A0845C",
"status_bar_bg": "#F5F0E8",
"voice_status_bg": "#F5F0E8",
"completion_menu_bg": "#F5EFE0",
"completion_menu_current_bg": "#E8DCC8",
"completion_menu_meta_bg": "#F0E8D8",
"completion_menu_meta_current_bg": "#DFCFB0",
},
"spinner": {},
"branding": {
"agent_name": "Hermes Agent",
"welcome": "Welcome to Hermes Agent! Type your message or /help for commands.",
"goodbye": "Goodbye! \u2695",
"response_label": " \u2695 Hermes ",
"prompt_symbol": "\u276f ",
"help_header": "(^_^)? Available Commands",
},
"tool_prefix": "\u250a",
},
"poseidon": {
"name": "poseidon",
"description": "Ocean-god theme — deep blue and seafoam",
@@ -685,6 +767,12 @@ def get_prompt_toolkit_style_overrides() -> Dict[str, str]:
label = skin.get_color("ui_label", title)
warn = skin.get_color("ui_warn", "#FF8C00")
error = skin.get_color("ui_error", "#FF6B6B")
status_bg = skin.get_color("status_bar_bg", "#1a1a2e")
voice_bg = skin.get_color("voice_status_bg", status_bg)
menu_bg = skin.get_color("completion_menu_bg", "#1a1a2e")
menu_current_bg = skin.get_color("completion_menu_current_bg", "#333355")
menu_meta_bg = skin.get_color("completion_menu_meta_bg", menu_bg)
menu_meta_current_bg = skin.get_color("completion_menu_meta_current_bg", menu_current_bg)
return {
"input-area": prompt,
@@ -692,13 +780,20 @@ def get_prompt_toolkit_style_overrides() -> Dict[str, str]:
"prompt": prompt,
"prompt-working": f"{dim} italic",
"hint": f"{dim} italic",
"status-bar": f"bg:{status_bg} {text}",
"status-bar-strong": f"bg:{status_bg} {title} bold",
"status-bar-dim": f"bg:{status_bg} {dim}",
"status-bar-good": f"bg:{status_bg} {skin.get_color('ui_ok', '#8FBC8F')} bold",
"status-bar-warn": f"bg:{status_bg} {warn} bold",
"status-bar-bad": f"bg:{status_bg} {skin.get_color('banner_accent', warn)} bold",
"status-bar-critical": f"bg:{status_bg} {error} bold",
"input-rule": input_rule,
"image-badge": f"{label} bold",
"completion-menu": f"bg:#1a1a2e {text}",
"completion-menu.completion": f"bg:#1a1a2e {text}",
"completion-menu.completion.current": f"bg:#333355 {title}",
"completion-menu.meta.completion": f"bg:#1a1a2e {dim}",
"completion-menu.meta.completion.current": f"bg:#333355 {label}",
"completion-menu": f"bg:{menu_bg} {text}",
"completion-menu.completion": f"bg:{menu_bg} {text}",
"completion-menu.completion.current": f"bg:{menu_current_bg} {title}",
"completion-menu.meta.completion": f"bg:{menu_meta_bg} {dim}",
"completion-menu.meta.completion.current": f"bg:{menu_meta_current_bg} {label}",
"clarify-border": input_rule,
"clarify-title": f"{title} bold",
"clarify-question": f"{text} bold",
@@ -716,4 +811,6 @@ def get_prompt_toolkit_style_overrides() -> Dict[str, str]:
"approval-cmd": f"{dim} italic",
"approval-choice": dim,
"approval-selected": f"{title} bold",
"voice-status": f"bg:{voice_bg} {label}",
"voice-status-recording": f"bg:{voice_bg} {error} bold",
}

View File

@@ -305,6 +305,7 @@ def show_status(args):
"WeCom Callback": ("WECOM_CALLBACK_CORP_ID", None),
"Weixin": ("WEIXIN_ACCOUNT_ID", "WEIXIN_HOME_CHANNEL"),
"BlueBubbles": ("BLUEBUBBLES_SERVER_URL", "BLUEBUBBLES_HOME_CHANNEL"),
"QQBot": ("QQ_APP_ID", "QQ_HOME_CHANNEL"),
}
for name, (token_var, home_var) in platforms.items():

View File

@@ -426,6 +426,8 @@ def _get_enabled_platforms() -> List[str]:
enabled.append("slack")
if get_env_value("WHATSAPP_ENABLED"):
enabled.append("whatsapp")
if get_env_value("QQ_APP_ID"):
enabled.append("qqbot")
return enabled

View File

@@ -96,6 +96,11 @@ _SCHEMA_OVERRIDES: Dict[str, Dict[str, Any]] = {
"description": "Default model (e.g. anthropic/claude-sonnet-4.6)",
"category": "general",
},
"model_context_length": {
"type": "number",
"description": "Context window override (0 = auto-detect from model metadata)",
"category": "general",
},
"terminal.backend": {
"type": "select",
"description": "Terminal execution backend",
@@ -246,6 +251,17 @@ def _build_schema_from_config(
CONFIG_SCHEMA = _build_schema_from_config(DEFAULT_CONFIG)
# Inject virtual fields that don't live in DEFAULT_CONFIG but are surfaced
# by the normalize/denormalize cycle. Insert model_context_length right after
# the "model" key so it renders adjacent in the frontend.
_mcl_entry = _SCHEMA_OVERRIDES["model_context_length"]
_ordered_schema: Dict[str, Dict[str, Any]] = {}
for _k, _v in CONFIG_SCHEMA.items():
_ordered_schema[_k] = _v
if _k == "model":
_ordered_schema["model_context_length"] = _mcl_entry
CONFIG_SCHEMA = _ordered_schema
class ConfigUpdate(BaseModel):
config: dict
@@ -408,11 +424,19 @@ def _normalize_config_for_web(config: Dict[str, Any]) -> Dict[str, Any]:
or a dict (``{default: ..., provider: ..., base_url: ...}``). The schema is built
from DEFAULT_CONFIG where ``model`` is a string, but user configs often have the
dict form. Normalize to the string form so the frontend schema matches.
Also surfaces ``model_context_length`` as a top-level field so the web UI can
display and edit it. A value of 0 means "auto-detect".
"""
config = dict(config) # shallow copy
model_val = config.get("model")
if isinstance(model_val, dict):
# Extract context_length before flattening the dict
ctx_len = model_val.get("context_length", 0)
config["model"] = model_val.get("default", model_val.get("name", ""))
config["model_context_length"] = ctx_len if isinstance(ctx_len, int) else 0
else:
config["model_context_length"] = 0
return config
@@ -433,6 +457,93 @@ async def get_schema():
return {"fields": CONFIG_SCHEMA, "category_order": _CATEGORY_ORDER}
_EMPTY_MODEL_INFO: dict = {
"model": "",
"provider": "",
"auto_context_length": 0,
"config_context_length": 0,
"effective_context_length": 0,
"capabilities": {},
}
@app.get("/api/model/info")
def get_model_info():
"""Return resolved model metadata for the currently configured model.
Calls the same context-length resolution chain the agent uses, so the
frontend can display "Auto-detected: 200K" alongside the override field.
Also returns model capabilities (vision, reasoning, tools) when available.
"""
try:
cfg = load_config()
model_cfg = cfg.get("model", "")
# Extract model name and provider from the config
if isinstance(model_cfg, dict):
model_name = model_cfg.get("default", model_cfg.get("name", ""))
provider = model_cfg.get("provider", "")
base_url = model_cfg.get("base_url", "")
config_ctx = model_cfg.get("context_length")
else:
model_name = str(model_cfg) if model_cfg else ""
provider = ""
base_url = ""
config_ctx = None
if not model_name:
return dict(_EMPTY_MODEL_INFO, provider=provider)
# Resolve auto-detected context length (pass config_ctx=None to get
# purely auto-detected value, then separately report the override)
try:
from agent.model_metadata import get_model_context_length
auto_ctx = get_model_context_length(
model=model_name,
base_url=base_url,
provider=provider,
config_context_length=None, # ignore override — we want auto value
)
except Exception:
auto_ctx = 0
config_ctx_int = 0
if isinstance(config_ctx, int) and config_ctx > 0:
config_ctx_int = config_ctx
# Effective is what the agent actually uses
effective_ctx = config_ctx_int if config_ctx_int > 0 else auto_ctx
# Try to get model capabilities from models.dev
caps = {}
try:
from agent.models_dev import get_model_capabilities
mc = get_model_capabilities(provider=provider, model=model_name)
if mc is not None:
caps = {
"supports_tools": mc.supports_tools,
"supports_vision": mc.supports_vision,
"supports_reasoning": mc.supports_reasoning,
"context_window": mc.context_window,
"max_output_tokens": mc.max_output_tokens,
"model_family": mc.model_family,
}
except Exception:
pass
return {
"model": model_name,
"provider": provider,
"auto_context_length": auto_ctx,
"config_context_length": config_ctx_int,
"effective_context_length": effective_ctx,
"capabilities": caps,
}
except Exception:
_log.exception("GET /api/model/info failed")
return dict(_EMPTY_MODEL_INFO)
def _denormalize_config_from_web(config: Dict[str, Any]) -> Dict[str, Any]:
"""Reverse _normalize_config_for_web before saving.
@@ -440,12 +551,24 @@ def _denormalize_config_from_web(config: Dict[str, Any]) -> Dict[str, Any]:
to recover model subkeys (provider, base_url, api_mode, etc.) that were
stripped from the GET response. The frontend only sees model as a flat
string; the rest is preserved transparently.
Also handles ``model_context_length`` — writes it back into the model dict
as ``context_length``. A value of 0 or absent means "auto-detect" (omitted
from the dict so get_model_context_length() uses its normal resolution).
"""
config = dict(config)
# Remove any _model_meta that might have leaked in (shouldn't happen
# with the stripped GET response, but be defensive)
config.pop("_model_meta", None)
# Extract and remove model_context_length before processing model
ctx_override = config.pop("model_context_length", 0)
if not isinstance(ctx_override, int):
try:
ctx_override = int(ctx_override)
except (TypeError, ValueError):
ctx_override = 0
model_val = config.get("model")
if isinstance(model_val, str) and model_val:
# Read the current disk config to recover model subkeys
@@ -455,7 +578,20 @@ def _denormalize_config_from_web(config: Dict[str, Any]) -> Dict[str, Any]:
if isinstance(disk_model, dict):
# Preserve all subkeys, update default with the new value
disk_model["default"] = model_val
# Write context_length into the model dict (0 = remove/auto)
if ctx_override > 0:
disk_model["context_length"] = ctx_override
else:
disk_model.pop("context_length", None)
config["model"] = disk_model
else:
# Model was previously a bare string — upgrade to dict if
# user is setting a context_length override
if ctx_override > 0:
config["model"] = {
"default": model_val,
"context_length": ctx_override,
}
except Exception:
pass # can't read disk config — just use the string form
return config