fix(terminal): add SSH preflight check

* fix(agent): skip reasoning extra_body for models that don't support it

Sending reasoning config to models like MiniMax or Nvidia via OpenRouter
causes a 400 BadRequestError. Previously, reasoning extra_body was sent
to all OpenRouter and Nous models unconditionally.

Fix: only send reasoning extra_body when the model slug starts with a
known reasoning-capable prefix (deepseek/, anthropic/, openai/, x-ai/,
google/gemini-2, qwen/qwen3) or when using Nous Portal directly.

Applies to both the main API call path (_build_api_kwargs) and the
conversation summary path.

Fixes #1083

* test(agent): cover reasoning extra_body gating

---------

Co-authored-by: ygd58 <buraysandro9@gmail.com>

AGENTS.md

@@ -235,6 +235,7 @@ hermes_cli/skin_engine.py    # SkinConfig dataclass, built-in skins, YAML loader
 | Spinner verbs | `spinner.thinking_verbs` | `display.py` |
 | Spinner wings (optional) | `spinner.wings` | `display.py` |
 | Tool output prefix | `tool_prefix` | `display.py` |
+| Per-tool emojis | `tool_emojis` | `display.py` → `get_tool_emoji()` |
 | Agent name | `branding.agent_name` | `banner.py`, `cli.py` |
 | Welcome message | `branding.welcome` | `cli.py` |
 | Response box label | `branding.response_label` | `cli.py` |

agent/display.py

@@ -59,6 +59,32 @@ def get_skin_tool_prefix() -> str:
     return "┊"
 
 
+def get_tool_emoji(tool_name: str, default: str = "⚡") -> str:
+    """Get the display emoji for a tool.
+
+    Resolution order:
+    1. Active skin's ``tool_emojis`` overrides (if a skin is loaded)
+    2. Tool registry's per-tool ``emoji`` field
+    3. *default* fallback
+    """
+    # 1. Skin override
+    skin = _get_skin()
+    if skin and skin.tool_emojis:
+        override = skin.tool_emojis.get(tool_name)
+        if override:
+            return override
+    # 2. Registry default
+    try:
+        from tools.registry import registry
+        emoji = registry.get_emoji(tool_name, default="")
+        if emoji:
+            return emoji
+    except Exception:
+        pass
+    # 3. Hardcoded fallback
+    return default
+
+
 # =========================================================================
 # Tool preview (one-line summary of a tool call's primary argument)
 # =========================================================================

cli.py

@@ -1414,7 +1414,7 @@ class HermesCLI:
                 max_iterations=self.max_turns,
                 enabled_toolsets=self.enabled_toolsets,
                 verbose_logging=self.verbose,
-                quiet_mode=True,
+                quiet_mode=not self.verbose,
                 ephemeral_system_prompt=self.system_prompt if self.system_prompt else None,
                 prefill_messages=self.prefill_messages or None,
                 reasoning_config=self.reasoning_config,
@@ -1428,7 +1428,7 @@ class HermesCLI:
                 platform="cli",
                 session_db=self._session_db,
                 clarify_callback=self._clarify_callback,
-                reasoning_callback=self._on_reasoning if self.show_reasoning else None,
+                reasoning_callback=self._on_reasoning if (self.show_reasoning or self.verbose) else None,
                 honcho_session_key=None,  # resolved by run_agent via config sessions map / title
                 fallback_model=self._fallback_model,
                 thinking_callback=self._on_thinking,
@@ -3285,12 +3285,17 @@ class HermesCLI:
         if self.agent:
             self.agent.verbose_logging = self.verbose
             self.agent.quiet_mode = not self.verbose
+            # Auto-enable reasoning display in verbose mode
+            if self.verbose:
+                self.agent.reasoning_callback = self._on_reasoning
+            elif not self.show_reasoning:
+                self.agent.reasoning_callback = None
 
         labels = {
             "off": "[dim]Tool progress: OFF[/] — silent mode, just the final response.",
             "new": "[yellow]Tool progress: NEW[/] — show each new tool (skip repeats).",
             "all": "[green]Tool progress: ALL[/] — show every tool call.",
-            "verbose": "[bold green]Tool progress: VERBOSE[/] — full args, results, and debug logs.",
+            "verbose": "[bold green]Tool progress: VERBOSE[/] — full args, results, think blocks, and debug logs.",
         }
         self.console.print(labels.get(self.tool_progress_mode, ""))
 
@@ -3357,13 +3362,17 @@ class HermesCLI:
 
     def _on_reasoning(self, reasoning_text: str):
         """Callback for intermediate reasoning display during tool-call loops."""
-        lines = reasoning_text.strip().splitlines()
-        if len(lines) > 5:
-            preview = "\n".join(lines[:5])
-            preview += f"\n  ... ({len(lines) - 5} more lines)"
+        if self.verbose:
+            # Verbose mode: show full reasoning text
+            _cprint(f"  {_DIM}[thinking] {reasoning_text.strip()}{_RST}")
         else:
-            preview = reasoning_text.strip()
-        _cprint(f"  {_DIM}[thinking] {preview}{_RST}")
+            lines = reasoning_text.strip().splitlines()
+            if len(lines) > 5:
+                preview = "\n".join(lines[:5])
+                preview += f"\n  ... ({len(lines) - 5} more lines)"
+            else:
+                preview = reasoning_text.strip()
+            _cprint(f"  {_DIM}[thinking] {preview}{_RST}")
 
     def _manual_compress(self):
         """Manually trigger context compression on the current conversation."""

gateway/platforms/telegram.py

@@ -322,6 +322,14 @@ class TelegramAdapter(BasePlatformAdapter):
             # Format and split message if needed
             formatted = self.format_message(content)
             chunks = self.truncate_message(formatted, self.MAX_MESSAGE_LENGTH)
+            if len(chunks) > 1:
+                # truncate_message appends a raw " (1/2)" suffix. Escape the
+                # MarkdownV2-special parentheses so Telegram doesn't reject the
+                # chunk and fall back to plain text.
+                chunks = [
+                    re.sub(r" \((\d+)/(\d+)\)$", r" \\(\1/\2\\)", chunk)
+                    for chunk in chunks
+                ]
             
             message_ids = []
             thread_id = metadata.get("thread_id") if metadata else None

gateway/run.py

@@ -1114,6 +1114,9 @@ class GatewayRunner:
         # let the adapter-level batching/queueing logic absorb them.
         _quick_key = build_session_key(source)
         if _quick_key in self._running_agents:
+            if event.get_command() == "status":
+                return await self._handle_status_command(event)
+
             if event.message_type == MessageType.PHOTO:
                 logger.debug("PRIORITY photo follow-up for session %s — queueing without interrupt", _quick_key[:20])
                 adapter = self.adapters.get(source.platform)
@@ -1822,6 +1825,8 @@ class GatewayRunner:
             # Update session with actual prompt token count and model from the agent
             self.session_store.update_session(
                 session_entry.session_key,
+                input_tokens=agent_result.get("input_tokens", 0),
+                output_tokens=agent_result.get("output_tokens", 0),
                 last_prompt_tokens=agent_result.get("last_prompt_tokens", 0),
                 model=agent_result.get("model"),
             )
@@ -3851,45 +3856,8 @@ class GatewayRunner:
             last_tool[0] = tool_name
             
             # Build progress message with primary argument preview
-            tool_emojis = {
-                "terminal": "💻",
-                "process": "⚙️",
-                "web_search": "🔍",
-                "web_extract": "📄",
-                "read_file": "📖",
-                "write_file": "✍️",
-                "patch": "🔧",
-                "search": "🔎",
-                "search_files": "🔎",
-                "list_directory": "📂",
-                "image_generate": "🎨",
-                "text_to_speech": "🔊",
-                "browser_navigate": "🌐",
-                "browser_click": "👆",
-                "browser_type": "⌨️",
-                "browser_snapshot": "📸",
-                "browser_scroll": "📜",
-                "browser_back": "◀️",
-                "browser_press": "⌨️",
-                "browser_close": "🚪",
-                "browser_get_images": "🖼️",
-                "browser_vision": "👁️",
-                "moa_query": "🧠",
-                "mixture_of_agents": "🧠",
-                "vision_analyze": "👁️",
-                "skill_view": "📚",
-                "skills_list": "📋",
-                "todo": "📋",
-                "memory": "🧠",
-                "session_search": "🔍",
-                "send_message": "📨",
-                "cronjob": "⏰",
-                "execute_code": "🐍",
-                "delegate_task": "🔀",
-                "clarify": "❓",
-                "skill_manage": "📝",
-            }
-            emoji = tool_emojis.get(tool_name, "⚙️")
+            from agent.display import get_tool_emoji
+            emoji = get_tool_emoji(tool_name, default="⚙️")
             
             # Verbose mode: show detailed arguments
             if progress_mode == "verbose" and args:
@@ -4171,11 +4139,15 @@ class GatewayRunner:
             # Return final response, or a message if something went wrong
             final_response = result.get("final_response")
 
-            # Extract last actual prompt token count from the agent's compressor
+            # Extract actual token counts from the agent instance used for this run
             _last_prompt_toks = 0
+            _input_toks = 0
+            _output_toks = 0
             _agent = agent_holder[0]
             if _agent and hasattr(_agent, "context_compressor"):
                 _last_prompt_toks = getattr(_agent.context_compressor, "last_prompt_tokens", 0)
+                _input_toks = getattr(_agent, "session_prompt_tokens", 0)
+                _output_toks = getattr(_agent, "session_completion_tokens", 0)
             _resolved_model = getattr(_agent, "model", None) if _agent else None
 
             if not final_response:
@@ -4187,6 +4159,8 @@ class GatewayRunner:
                     "tools": tools_holder[0] or [],
                     "history_offset": len(agent_history),
                     "last_prompt_tokens": _last_prompt_toks,
+                    "input_tokens": _input_toks,
+                    "output_tokens": _output_toks,
                     "model": _resolved_model,
                 }
             
@@ -4250,6 +4224,8 @@ class GatewayRunner:
                 "tools": tools_holder[0] or [],
                 "history_offset": len(agent_history),
                 "last_prompt_tokens": _last_prompt_toks,
+                "input_tokens": _input_toks,
+                "output_tokens": _output_toks,
                 "model": _resolved_model,
                 "session_id": effective_session_id,
             }

hermes_cli/main.py

@@ -1112,8 +1112,32 @@ def _model_flow_custom(config):
 
     effective_key = api_key or current_key
 
+    from hermes_cli.models import probe_api_models
+
+    probe = probe_api_models(effective_key, effective_url)
+    if probe.get("used_fallback") and probe.get("resolved_base_url"):
+        print(
+            f"Warning: endpoint verification worked at {probe['resolved_base_url']}/models, "
+            f"not the exact URL you entered. Saving the working base URL instead."
+        )
+        effective_url = probe["resolved_base_url"]
+        if base_url:
+            base_url = effective_url
+    elif probe.get("models") is not None:
+        print(
+            f"Verified endpoint via {probe.get('probed_url')} "
+            f"({len(probe.get('models') or [])} model(s) visible)"
+        )
+    else:
+        print(
+            f"Warning: could not verify this endpoint via {probe.get('probed_url')}. "
+            f"Hermes will still save it."
+        )
+        if probe.get("suggested_base_url"):
+            print(f"  If this server expects /v1, try base URL: {probe['suggested_base_url']}")
+
     if base_url:
-        save_env_value("OPENAI_BASE_URL", base_url)
+        save_env_value("OPENAI_BASE_URL", effective_url)
     if api_key:
         save_env_value("OPENAI_API_KEY", api_key)
 

hermes_cli/models.py

@@ -308,6 +308,62 @@ def _fetch_anthropic_models(timeout: float = 5.0) -> Optional[list[str]]:
         return None
 
 
+def probe_api_models(
+    api_key: Optional[str],
+    base_url: Optional[str],
+    timeout: float = 5.0,
+) -> dict[str, Any]:
+    """Probe an OpenAI-compatible ``/models`` endpoint with light URL heuristics."""
+    normalized = (base_url or "").strip().rstrip("/")
+    if not normalized:
+        return {
+            "models": None,
+            "probed_url": None,
+            "resolved_base_url": "",
+            "suggested_base_url": None,
+            "used_fallback": False,
+        }
+
+    if normalized.endswith("/v1"):
+        alternate_base = normalized[:-3].rstrip("/")
+    else:
+        alternate_base = normalized + "/v1"
+
+    candidates: list[tuple[str, bool]] = [(normalized, False)]
+    if alternate_base and alternate_base != normalized:
+        candidates.append((alternate_base, True))
+
+    tried: list[str] = []
+    headers: dict[str, str] = {}
+    if api_key:
+        headers["Authorization"] = f"Bearer {api_key}"
+
+    for candidate_base, is_fallback in candidates:
+        url = candidate_base.rstrip("/") + "/models"
+        tried.append(url)
+        req = urllib.request.Request(url, headers=headers)
+        try:
+            with urllib.request.urlopen(req, timeout=timeout) as resp:
+                data = json.loads(resp.read().decode())
+                return {
+                    "models": [m.get("id", "") for m in data.get("data", [])],
+                    "probed_url": url,
+                    "resolved_base_url": candidate_base.rstrip("/"),
+                    "suggested_base_url": alternate_base if alternate_base != candidate_base else normalized,
+                    "used_fallback": is_fallback,
+                }
+        except Exception:
+            continue
+
+    return {
+        "models": None,
+        "probed_url": tried[-1] if tried else normalized.rstrip("/") + "/models",
+        "resolved_base_url": normalized,
+        "suggested_base_url": alternate_base if alternate_base != normalized else None,
+        "used_fallback": False,
+    }
+
+
 def fetch_api_models(
     api_key: Optional[str],
     base_url: Optional[str],
@@ -318,22 +374,7 @@ def fetch_api_models(
     Returns a list of model ID strings, or ``None`` if the endpoint could not
     be reached (network error, timeout, auth failure, etc.).
     """
-    if not base_url:
-        return None
-
-    url = base_url.rstrip("/") + "/models"
-    headers: dict[str, str] = {}
-    if api_key:
-        headers["Authorization"] = f"Bearer {api_key}"
-
-    req = urllib.request.Request(url, headers=headers)
-    try:
-        with urllib.request.urlopen(req, timeout=timeout) as resp:
-            data = json.loads(resp.read().decode())
-            # Standard OpenAI format: {"data": [{"id": "model-name", ...}, ...]}
-            return [m.get("id", "") for m in data.get("data", [])]
-    except Exception:
-        return None
+    return probe_api_models(api_key, base_url, timeout=timeout).get("models")
 
 
 def validate_requested_model(
@@ -376,13 +417,53 @@ def validate_requested_model(
             "message": "Model names cannot contain spaces.",
         }
 
-    # Custom endpoints can serve any model — skip validation
     if normalized == "custom":
+        probe = probe_api_models(api_key, base_url)
+        api_models = probe.get("models")
+        if api_models is not None:
+            if requested in set(api_models):
+                return {
+                    "accepted": True,
+                    "persist": True,
+                    "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)
+
+            message = (
+                f"Note: `{requested}` was not found in this custom endpoint's model listing "
+                f"({probe.get('probed_url')}). It may still work if the server supports hidden or aliased models."
+                f"{suggestion_text}"
+            )
+            if probe.get("used_fallback"):
+                message += (
+                    f"\n  Endpoint verification succeeded after trying `{probe.get('resolved_base_url')}`. "
+                    f"Consider saving that as your base URL."
+                )
+
+            return {
+                "accepted": True,
+                "persist": True,
+                "recognized": False,
+                "message": message,
+            }
+
+        message = (
+            f"Note: could not reach this custom endpoint's model listing at `{probe.get('probed_url')}`. "
+            f"Hermes will still save `{requested}`, but the endpoint should expose `/models` for verification."
+        )
+        if probe.get("suggested_base_url"):
+            message += f"\n  If this server expects `/v1`, try base URL: `{probe.get('suggested_base_url')}`"
+
         return {
             "accepted": True,
             "persist": True,
             "recognized": False,
-            "message": None,
+            "message": message,
         }
 
     # Probe the live API to check if the model actually exists

hermes_cli/setup.py

@@ -933,11 +933,35 @@ def setup_model_provider(config: dict):
 
         base_url = prompt(
             "  API base URL (e.g., https://api.example.com/v1)", current_url
-        )
+        ).strip()
         api_key = prompt("  API key", password=True)
         model_name = prompt("  Model name (e.g., gpt-4, claude-3-opus)", current_model)
 
         if base_url:
+            from hermes_cli.models import probe_api_models
+
+            probe = probe_api_models(api_key, base_url)
+            if probe.get("used_fallback") and probe.get("resolved_base_url"):
+                print_warning(
+                    f"Endpoint verification worked at {probe['resolved_base_url']}/models, "
+                    f"not the exact URL you entered. Saving the working base URL instead."
+                )
+                base_url = probe["resolved_base_url"]
+            elif probe.get("models") is not None:
+                print_success(
+                    f"Verified endpoint via {probe.get('probed_url')} "
+                    f"({len(probe.get('models') or [])} model(s) visible)"
+                )
+            else:
+                print_warning(
+                    f"Could not verify this endpoint via {probe.get('probed_url')}. "
+                    f"Hermes will still save it."
+                )
+                if probe.get("suggested_base_url"):
+                    print_info(
+                        f"  If this server expects /v1, try base URL: {probe['suggested_base_url']}"
+                    )
+
             save_env_value("OPENAI_BASE_URL", base_url)
         if api_key:
             save_env_value("OPENAI_API_KEY", api_key)

hermes_cli/skin_engine.py

@@ -60,6 +60,12 @@ All fields are optional. Missing values inherit from the ``default`` skin.
     # Tool prefix: character for tool output lines (default: ┊)
     tool_prefix: "┊"
 
+    # Tool emojis: override the default emoji for any tool (used in spinners & progress)
+    tool_emojis:
+      terminal: "⚔"           # Override terminal tool emoji
+      web_search: "🔮"        # Override web_search tool emoji
+      # Any tool not listed here uses its registry default
+
 USAGE
 =====
 
@@ -111,6 +117,7 @@ class SkinConfig:
     spinner: Dict[str, Any] = field(default_factory=dict)
     branding: Dict[str, str] = field(default_factory=dict)
     tool_prefix: str = "┊"
+    tool_emojis: Dict[str, str] = field(default_factory=dict)  # per-tool emoji overrides
     banner_logo: str = ""    # Rich-markup ASCII art logo (replaces HERMES_AGENT_LOGO)
     banner_hero: str = ""    # Rich-markup hero art (replaces HERMES_CADUCEUS)
 
@@ -541,6 +548,7 @@ def _build_skin_config(data: Dict[str, Any]) -> SkinConfig:
         spinner=spinner,
         branding=branding,
         tool_prefix=data.get("tool_prefix", default.get("tool_prefix", "┊")),
+        tool_emojis=data.get("tool_emojis", {}),
         banner_logo=data.get("banner_logo", ""),
         banner_hero=data.get("banner_hero", ""),
     )

honcho_integration/session.py

@@ -927,6 +927,11 @@ class HonchoSessionManager:
             return False
 
         assistant_peer = self._get_or_create_peer(session.assistant_peer_id)
+        honcho_session = self._sessions_cache.get(session.honcho_session_id)
+        if not honcho_session:
+            logger.warning("No Honcho session cached for '%s', skipping AI seed", session_key)
+            return False
+
         try:
             wrapped = (
                 f"<ai_identity_seed>\n"
@@ -935,7 +940,7 @@ class HonchoSessionManager:
                 f"{content.strip()}\n"
                 f"</ai_identity_seed>"
             )
-            assistant_peer.add_message("assistant", wrapped)
+            honcho_session.add_messages([assistant_peer.message(wrapped)])
             logger.info("Seeded AI identity from '%s' into %s", source, session_key)
             return True
         except Exception as e:

run_agent.py

@@ -90,6 +90,7 @@ from agent.display import (
     KawaiiSpinner, build_tool_preview as _build_tool_preview,
     get_cute_tool_message as _get_cute_tool_message_impl,
     _detect_tool_failure,
+    get_tool_emoji as _get_tool_emoji,
 )
 from agent.trajectory import (
     convert_scratchpad_to_think, has_incomplete_scratchpad,
@@ -3301,8 +3302,7 @@ class AIAgent:
             extra_body["provider"] = provider_preferences
         _is_nous = "nousresearch" in self.base_url.lower()
 
-        _is_mistral = "api.mistral.ai" in self.base_url.lower()
-        if (_is_openrouter or _is_nous) and not _is_mistral:
+        if self._supports_reasoning_extra_body():
             if self.reasoning_config is not None:
                 rc = dict(self.reasoning_config)
                 # Nous Portal requires reasoning enabled — don't send
@@ -3326,6 +3326,32 @@ class AIAgent:
 
         return api_kwargs
 
+    def _supports_reasoning_extra_body(self) -> bool:
+        """Return True when reasoning extra_body is safe to send for this route/model.
+
+        OpenRouter forwards unknown extra_body fields to upstream providers.
+        Some providers/routes reject `reasoning` with 400s, so gate it to
+        known reasoning-capable model families and direct Nous Portal.
+        """
+        base_url = (self.base_url or "").lower()
+        if "nousresearch" in base_url:
+            return True
+        if "openrouter" not in base_url:
+            return False
+        if "api.mistral.ai" in base_url:
+            return False
+
+        model = (self.model or "").lower()
+        reasoning_model_prefixes = (
+            "deepseek/",
+            "anthropic/",
+            "openai/",
+            "x-ai/",
+            "google/gemini-2",
+            "qwen/qwen3",
+        )
+        return any(model.startswith(prefix) for prefix in reasoning_model_prefixes)
+
     def _build_assistant_message(self, assistant_message, finish_reason: str) -> dict:
         """Build a normalized assistant message dict from an API response message.
 
@@ -3345,8 +3371,7 @@ class AIAgent:
                 reasoning_text = combined or None
 
         if reasoning_text and self.verbose_logging:
-            preview = reasoning_text[:100] + "..." if len(reasoning_text) > 100 else reasoning_text
-            logging.debug(f"Captured reasoning ({len(reasoning_text)} chars): {preview}")
+            logging.debug(f"Captured reasoning ({len(reasoning_text)} chars): {reasoning_text}")
 
         if reasoning_text and self.reasoning_callback:
             try:
@@ -3823,8 +3848,12 @@ class AIAgent:
             print(f"  ⚡ Concurrent: {num_tools} tool calls — {tool_names_str}")
             for i, (tc, name, args) in enumerate(parsed_calls, 1):
                 args_str = json.dumps(args, ensure_ascii=False)
-                args_preview = args_str[:self.log_prefix_chars] + "..." if len(args_str) > self.log_prefix_chars else args_str
-                print(f"  📞 Tool {i}: {name}({list(args.keys())}) - {args_preview}")
+                if self.verbose_logging:
+                    print(f"  📞 Tool {i}: {name}({list(args.keys())})")
+                    print(f"     Args: {args_str}")
+                else:
+                    args_preview = args_str[:self.log_prefix_chars] + "..." if len(args_str) > self.log_prefix_chars else args_str
+                    print(f"  📞 Tool {i}: {name}({list(args.keys())}) - {args_preview}")
 
         for _, name, args in parsed_calls:
             if self.tool_progress_callback:
@@ -3889,17 +3918,20 @@ class AIAgent:
                     logger.warning("Tool %s returned error (%.2fs): %s", function_name, tool_duration, result_preview)
 
                 if self.verbose_logging:
-                    result_preview = function_result[:200] if len(function_result) > 200 else function_result
                     logging.debug(f"Tool {function_name} completed in {tool_duration:.2f}s")
-                    logging.debug(f"Tool result preview: {result_preview}...")
+                    logging.debug(f"Tool result ({len(function_result)} chars): {function_result}")
 
             # Print cute message per tool
             if self.quiet_mode:
                 cute_msg = _get_cute_tool_message_impl(name, args, tool_duration, result=function_result)
                 print(f"  {cute_msg}")
             elif not self.quiet_mode:
-                response_preview = function_result[:self.log_prefix_chars] + "..." if len(function_result) > self.log_prefix_chars else function_result
-                print(f"  ✅ Tool {i+1} completed in {tool_duration:.2f}s - {response_preview}")
+                if self.verbose_logging:
+                    print(f"  ✅ Tool {i+1} completed in {tool_duration:.2f}s")
+                    print(f"     Result: {function_result}")
+                else:
+                    response_preview = function_result[:self.log_prefix_chars] + "..." if len(function_result) > self.log_prefix_chars else function_result
+                    print(f"  ✅ Tool {i+1} completed in {tool_duration:.2f}s - {response_preview}")
 
             # Truncate oversized results
             MAX_TOOL_RESULT_CHARS = 100_000
@@ -3975,8 +4007,12 @@ class AIAgent:
 
             if not self.quiet_mode:
                 args_str = json.dumps(function_args, ensure_ascii=False)
-                args_preview = args_str[:self.log_prefix_chars] + "..." if len(args_str) > self.log_prefix_chars else args_str
-                print(f"  📞 Tool {i}: {function_name}({list(function_args.keys())}) - {args_preview}")
+                if self.verbose_logging:
+                    print(f"  📞 Tool {i}: {function_name}({list(function_args.keys())})")
+                    print(f"     Args: {args_str}")
+                else:
+                    args_preview = args_str[:self.log_prefix_chars] + "..." if len(args_str) > self.log_prefix_chars else args_str
+                    print(f"  📞 Tool {i}: {function_name}({list(function_args.keys())}) - {args_preview}")
 
             if self.tool_progress_callback:
                 try:
@@ -4085,23 +4121,7 @@ class AIAgent:
                         self._vprint(f"  {cute_msg}")
             elif self.quiet_mode and self._stream_callback is None:
                 face = random.choice(KawaiiSpinner.KAWAII_WAITING)
-                tool_emoji_map = {
-                    'web_search': '🔍', 'web_extract': '📄', 'web_crawl': '🕸️',
-                    'terminal': '💻', 'process': '⚙️',
-                    'read_file': '📖', 'write_file': '✍️', 'patch': '🔧', 'search_files': '🔎',
-                    'browser_navigate': '🌐', 'browser_snapshot': '📸',
-                    'browser_click': '👆', 'browser_type': '⌨️',
-                    'browser_scroll': '📜', 'browser_back': '◀️',
-                    'browser_press': '⌨️', 'browser_close': '🚪',
-                    'browser_get_images': '🖼️', 'browser_vision': '👁️',
-                    'image_generate': '🎨', 'text_to_speech': '🔊',
-                    'vision_analyze': '👁️', 'mixture_of_agents': '🧠',
-                    'skills_list': '📚', 'skill_view': '📚',
-                    'cronjob': '⏰',
-                    'send_message': '📨', 'todo': '📋', 'memory': '🧠', 'session_search': '🔍',
-                    'clarify': '❓', 'execute_code': '🐍', 'delegate_task': '🔀',
-                }
-                emoji = tool_emoji_map.get(function_name, '⚡')
+                emoji = _get_tool_emoji(function_name)
                 preview = _build_tool_preview(function_name, function_args) or function_name
                 if len(preview) > 30:
                     preview = preview[:27] + "..."
@@ -4132,7 +4152,9 @@ class AIAgent:
                     logger.error("handle_function_call raised for %s: %s", function_name, tool_error, exc_info=True)
                 tool_duration = time.time() - tool_start_time
 
-            result_preview = function_result[:200] if len(function_result) > 200 else function_result
+            result_preview = function_result if self.verbose_logging else (
+                function_result[:200] if len(function_result) > 200 else function_result
+            )
 
             # Log tool errors to the persistent error log so [error] tags
             # in the UI always have a corresponding detailed entry on disk.
@@ -4142,7 +4164,7 @@ class AIAgent:
 
             if self.verbose_logging:
                 logging.debug(f"Tool {function_name} completed in {tool_duration:.2f}s")
-                logging.debug(f"Tool result preview: {result_preview}...")
+                logging.debug(f"Tool result ({len(function_result)} chars): {function_result}")
 
             # Guard against tools returning absurdly large content that would
             # blow up the context window. 100K chars ≈ 25K tokens — generous
@@ -4165,8 +4187,12 @@ class AIAgent:
             messages.append(tool_msg)
 
             if not self.quiet_mode:
-                response_preview = function_result[:self.log_prefix_chars] + "..." if len(function_result) > self.log_prefix_chars else function_result
-                print(f"  ✅ Tool {i} completed in {tool_duration:.2f}s - {response_preview}")
+                if self.verbose_logging:
+                    print(f"  ✅ Tool {i} completed in {tool_duration:.2f}s")
+                    print(f"     Result: {function_result}")
+                else:
+                    response_preview = function_result[:self.log_prefix_chars] + "..." if len(function_result) > self.log_prefix_chars else function_result
+                    print(f"  ✅ Tool {i} completed in {tool_duration:.2f}s - {response_preview}")
 
             if self._interrupt_requested and i < len(assistant_message.tool_calls):
                 remaining = len(assistant_message.tool_calls) - i
@@ -4264,9 +4290,8 @@ class AIAgent:
                     api_messages.insert(sys_offset + idx, pfm.copy())
 
             summary_extra_body = {}
-            _is_openrouter = "openrouter" in self.base_url.lower()
             _is_nous = "nousresearch" in self.base_url.lower()
-            if _is_openrouter or _is_nous:
+            if self._supports_reasoning_extra_body():
                 if self.reasoning_config is not None:
                     summary_extra_body["reasoning"] = self.reasoning_config
                 else:
@@ -5418,7 +5443,10 @@ class AIAgent:
 
                 # Handle assistant response
                 if assistant_message.content and not self.quiet_mode:
-                    self._vprint(f"{self.log_prefix}🤖 Assistant: {assistant_message.content[:100]}{'...' if len(assistant_message.content) > 100 else ''}")
+                    if self.verbose_logging:
+                        self._vprint(f"{self.log_prefix}🤖 Assistant: {assistant_message.content}")
+                    else:
+                        self._vprint(f"{self.log_prefix}🤖 Assistant: {assistant_message.content[:100]}{'...' if len(assistant_message.content) > 100 else ''}")
 
                 # Notify progress callback of model's thinking (used by subagent
                 # delegation to relay the child's reasoning to the parent display).

tests/agent/test_display_emoji.py

@@ -0,0 +1,123 @@
+"""Tests for get_tool_emoji in agent/display.py — skin + registry integration."""
+
+from unittest.mock import patch as mock_patch, MagicMock
+
+from agent.display import get_tool_emoji
+
+
+class TestGetToolEmoji:
+    """Verify the skin → registry → fallback resolution chain."""
+
+    def test_returns_registry_emoji_when_no_skin(self):
+        """Registry-registered emoji is used when no skin is active."""
+        mock_registry = MagicMock()
+        mock_registry.get_emoji.return_value = "🎨"
+        with mock_patch("agent.display._get_skin", return_value=None), \
+             mock_patch("agent.display.registry", mock_registry, create=True):
+            # Need to patch the import inside get_tool_emoji
+            pass
+        # Direct test: patch the lazy import path
+        with mock_patch("agent.display._get_skin", return_value=None):
+            # get_tool_emoji will try to import registry — mock that
+            mock_reg = MagicMock()
+            mock_reg.get_emoji.return_value = "📖"
+            with mock_patch.dict("sys.modules", {}):
+                import sys
+                # Patch tools.registry module
+                mock_module = MagicMock()
+                mock_module.registry = mock_reg
+                with mock_patch.dict(sys.modules, {"tools.registry": mock_module}):
+                    result = get_tool_emoji("read_file")
+                    assert result == "📖"
+
+    def test_skin_override_takes_precedence(self):
+        """Skin tool_emojis override registry defaults."""
+        skin = MagicMock()
+        skin.tool_emojis = {"terminal": "⚔"}
+        with mock_patch("agent.display._get_skin", return_value=skin):
+            result = get_tool_emoji("terminal")
+            assert result == "⚔"
+
+    def test_skin_empty_dict_falls_through(self):
+        """Empty skin tool_emojis falls through to registry."""
+        skin = MagicMock()
+        skin.tool_emojis = {}
+        mock_reg = MagicMock()
+        mock_reg.get_emoji.return_value = "💻"
+        import sys
+        mock_module = MagicMock()
+        mock_module.registry = mock_reg
+        with mock_patch("agent.display._get_skin", return_value=skin), \
+             mock_patch.dict(sys.modules, {"tools.registry": mock_module}):
+            result = get_tool_emoji("terminal")
+            assert result == "💻"
+
+    def test_fallback_default(self):
+        """When neither skin nor registry has an emoji, use the default."""
+        skin = MagicMock()
+        skin.tool_emojis = {}
+        mock_reg = MagicMock()
+        mock_reg.get_emoji.return_value = ""
+        import sys
+        mock_module = MagicMock()
+        mock_module.registry = mock_reg
+        with mock_patch("agent.display._get_skin", return_value=skin), \
+             mock_patch.dict(sys.modules, {"tools.registry": mock_module}):
+            result = get_tool_emoji("unknown_tool")
+            assert result == "⚡"
+
+    def test_custom_default(self):
+        """Custom default is returned when nothing matches."""
+        with mock_patch("agent.display._get_skin", return_value=None):
+            mock_reg = MagicMock()
+            mock_reg.get_emoji.return_value = ""
+            import sys
+            mock_module = MagicMock()
+            mock_module.registry = mock_reg
+            with mock_patch.dict(sys.modules, {"tools.registry": mock_module}):
+                result = get_tool_emoji("x", default="⚙️")
+                assert result == "⚙️"
+
+    def test_skin_override_only_for_matching_tool(self):
+        """Skin override for one tool doesn't affect others."""
+        skin = MagicMock()
+        skin.tool_emojis = {"terminal": "⚔"}
+        mock_reg = MagicMock()
+        mock_reg.get_emoji.return_value = "🔍"
+        import sys
+        mock_module = MagicMock()
+        mock_module.registry = mock_reg
+        with mock_patch("agent.display._get_skin", return_value=skin), \
+             mock_patch.dict(sys.modules, {"tools.registry": mock_module}):
+            assert get_tool_emoji("terminal") == "⚔"  # skin override
+            assert get_tool_emoji("web_search") == "🔍"  # registry fallback
+
+
+class TestSkinConfigToolEmojis:
+    """Verify SkinConfig handles tool_emojis field correctly."""
+
+    def test_skin_config_has_tool_emojis_field(self):
+        from hermes_cli.skin_engine import SkinConfig
+        skin = SkinConfig(name="test")
+        assert skin.tool_emojis == {}
+
+    def test_skin_config_accepts_tool_emojis(self):
+        from hermes_cli.skin_engine import SkinConfig
+        emojis = {"terminal": "⚔", "web_search": "🔮"}
+        skin = SkinConfig(name="test", tool_emojis=emojis)
+        assert skin.tool_emojis == emojis
+
+    def test_build_skin_config_includes_tool_emojis(self):
+        from hermes_cli.skin_engine import _build_skin_config
+        data = {
+            "name": "custom",
+            "tool_emojis": {"terminal": "🗡️", "patch": "⚒️"},
+        }
+        skin = _build_skin_config(data)
+        assert skin.tool_emojis == {"terminal": "🗡️", "patch": "⚒️"}
+
+    def test_build_skin_config_empty_tool_emojis_default(self):
+        from hermes_cli.skin_engine import _build_skin_config
+        data = {"name": "minimal"}
+        skin = _build_skin_config(data)
+        assert skin.tool_emojis == {}

tests/gateway/test_status_command.py

@@ -0,0 +1,133 @@
+"""Tests for gateway /status behavior and token persistence."""
+
+from datetime import datetime
+from types import SimpleNamespace
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from gateway.config import GatewayConfig, Platform, PlatformConfig
+from gateway.platforms.base import MessageEvent
+from gateway.session import SessionEntry, SessionSource, build_session_key
+
+
+def _make_source() -> SessionSource:
+    return SessionSource(
+        platform=Platform.TELEGRAM,
+        user_id="u1",
+        chat_id="c1",
+        user_name="tester",
+        chat_type="dm",
+    )
+
+
+def _make_event(text: str) -> MessageEvent:
+    return MessageEvent(
+        text=text,
+        source=_make_source(),
+        message_id="m1",
+    )
+
+
+def _make_runner(session_entry: SessionEntry):
+    from gateway.run import GatewayRunner
+
+    runner = object.__new__(GatewayRunner)
+    runner.config = GatewayConfig(
+        platforms={Platform.TELEGRAM: PlatformConfig(enabled=True, token="***")}
+    )
+    adapter = MagicMock()
+    adapter.send = AsyncMock()
+    runner.adapters = {Platform.TELEGRAM: adapter}
+    runner._voice_mode = {}
+    runner.hooks = SimpleNamespace(emit=AsyncMock(), loaded_hooks=False)
+    runner.session_store = MagicMock()
+    runner.session_store.get_or_create_session.return_value = session_entry
+    runner.session_store.load_transcript.return_value = []
+    runner.session_store.has_any_sessions.return_value = True
+    runner.session_store.append_to_transcript = MagicMock()
+    runner.session_store.rewrite_transcript = MagicMock()
+    runner.session_store.update_session = MagicMock()
+    runner._running_agents = {}
+    runner._pending_messages = {}
+    runner._pending_approvals = {}
+    runner._session_db = None
+    runner._reasoning_config = None
+    runner._provider_routing = {}
+    runner._fallback_model = None
+    runner._show_reasoning = False
+    runner._is_user_authorized = lambda _source: True
+    runner._set_session_env = lambda _context: None
+    runner._should_send_voice_reply = lambda *_args, **_kwargs: False
+    runner._send_voice_reply = AsyncMock()
+    runner._capture_gateway_honcho_if_configured = lambda *args, **kwargs: None
+    runner._emit_gateway_run_progress = AsyncMock()
+    return runner
+
+
+@pytest.mark.asyncio
+async def test_status_command_reports_running_agent_without_interrupt(monkeypatch):
+    session_entry = SessionEntry(
+        session_key=build_session_key(_make_source()),
+        session_id="sess-1",
+        created_at=datetime.now(),
+        updated_at=datetime.now(),
+        platform=Platform.TELEGRAM,
+        chat_type="dm",
+        total_tokens=321,
+    )
+    runner = _make_runner(session_entry)
+    running_agent = MagicMock()
+    runner._running_agents[build_session_key(_make_source())] = running_agent
+
+    result = await runner._handle_message(_make_event("/status"))
+
+    assert "**Tokens:** 321" in result
+    assert "**Agent Running:** Yes ⚡" in result
+    running_agent.interrupt.assert_not_called()
+    assert runner._pending_messages == {}
+
+
+@pytest.mark.asyncio
+async def test_handle_message_persists_agent_token_counts(monkeypatch):
+    import gateway.run as gateway_run
+
+    session_entry = SessionEntry(
+        session_key=build_session_key(_make_source()),
+        session_id="sess-1",
+        created_at=datetime.now(),
+        updated_at=datetime.now(),
+        platform=Platform.TELEGRAM,
+        chat_type="dm",
+    )
+    runner = _make_runner(session_entry)
+    runner.session_store.load_transcript.return_value = [{"role": "user", "content": "earlier"}]
+    runner._run_agent = AsyncMock(
+        return_value={
+            "final_response": "ok",
+            "messages": [],
+            "tools": [],
+            "history_offset": 0,
+            "last_prompt_tokens": 80,
+            "input_tokens": 120,
+            "output_tokens": 45,
+            "model": "openai/test-model",
+        }
+    )
+
+    monkeypatch.setattr(gateway_run, "_resolve_runtime_agent_kwargs", lambda: {"api_key": "***"})
+    monkeypatch.setattr(
+        "agent.model_metadata.get_model_context_length",
+        lambda *_args, **_kwargs: 100000,
+    )
+
+    result = await runner._handle_message(_make_event("hello"))
+
+    assert result == "ok"
+    runner.session_store.update_session.assert_called_once_with(
+        session_entry.session_key,
+        input_tokens=120,
+        output_tokens=45,
+        last_prompt_tokens=80,
+        model="openai/test-model",
+    )

tests/gateway/test_telegram_format.py

@@ -7,7 +7,7 @@ or corrupt user-visible content.
 
 import re
 import sys
-from unittest.mock import MagicMock
+from unittest.mock import AsyncMock, MagicMock
 
 import pytest
 
@@ -392,3 +392,27 @@ class TestStripMdv2:
 
     def test_empty_string(self):
         assert _strip_mdv2("") == ""
+
+
+@pytest.mark.asyncio
+async def test_send_escapes_chunk_indicator_for_markdownv2(adapter):
+    adapter.MAX_MESSAGE_LENGTH = 80
+    adapter._bot = MagicMock()
+
+    sent_texts = []
+
+    async def _fake_send_message(**kwargs):
+        sent_texts.append(kwargs["text"])
+        msg = MagicMock()
+        msg.message_id = len(sent_texts)
+        return msg
+
+    adapter._bot.send_message = AsyncMock(side_effect=_fake_send_message)
+
+    content = ("**bold** chunk content " * 12).strip()
+    result = await adapter.send("123", content)
+
+    assert result.success is True
+    assert len(sent_texts) > 1
+    assert re.search(r" \\\([0-9]+/[0-9]+\\\)$", sent_texts[0])
+    assert re.search(r" \\\([0-9]+/[0-9]+\\\)$", sent_texts[-1])

tests/hermes_cli/test_model_validation.py

@@ -7,6 +7,7 @@ from hermes_cli.models import (
     fetch_api_models,
     normalize_provider,
     parse_model_input,
+    probe_api_models,
     provider_label,
     provider_model_ids,
     validate_requested_model,
@@ -26,7 +27,15 @@ FAKE_API_MODELS = [
 
 def _validate(model, provider="openrouter", api_models=FAKE_API_MODELS, **kw):
     """Shortcut: call validate_requested_model with mocked API."""
-    with patch("hermes_cli.models.fetch_api_models", return_value=api_models):
+    probe_payload = {
+        "models": api_models,
+        "probed_url": "http://localhost:11434/v1/models",
+        "resolved_base_url": kw.get("base_url", "") or "http://localhost:11434/v1",
+        "suggested_base_url": None,
+        "used_fallback": False,
+    }
+    with patch("hermes_cli.models.fetch_api_models", return_value=api_models), \
+         patch("hermes_cli.models.probe_api_models", return_value=probe_payload):
         return validate_requested_model(model, provider, **kw)
 
 
@@ -147,6 +156,33 @@ class TestFetchApiModels:
         with patch("hermes_cli.models.urllib.request.urlopen", side_effect=Exception("timeout")):
             assert fetch_api_models("key", "https://example.com/v1") is None
 
+    def test_probe_api_models_tries_v1_fallback(self):
+        class _Resp:
+            def __enter__(self):
+                return self
+
+            def __exit__(self, exc_type, exc, tb):
+                return False
+
+            def read(self):
+                return b'{"data": [{"id": "local-model"}]}'
+
+        calls = []
+
+        def _fake_urlopen(req, timeout=5.0):
+            calls.append(req.full_url)
+            if req.full_url.endswith("/v1/models"):
+                return _Resp()
+            raise Exception("404")
+
+        with patch("hermes_cli.models.urllib.request.urlopen", side_effect=_fake_urlopen):
+            probe = probe_api_models("key", "http://localhost:8000")
+
+        assert calls == ["http://localhost:8000/models", "http://localhost:8000/v1/models"]
+        assert probe["models"] == ["local-model"]
+        assert probe["resolved_base_url"] == "http://localhost:8000/v1"
+        assert probe["used_fallback"] is True
+
 
 # -- validate — format checks -----------------------------------------------
 
@@ -191,6 +227,7 @@ class TestValidateApiFound:
         )
         assert result["accepted"] is True
         assert result["persist"] is True
+        assert result["recognized"] is True
 
 
 # -- validate — API not found ------------------------------------------------
@@ -232,3 +269,26 @@ class TestValidateApiFallback:
         result = _validate("some-model", provider="totally-unknown", api_models=None)
         assert result["accepted"] is True
         assert result["persist"] is True
+
+    def test_custom_endpoint_warns_with_probed_url_and_v1_hint(self):
+        with patch(
+            "hermes_cli.models.probe_api_models",
+            return_value={
+                "models": None,
+                "probed_url": "http://localhost:8000/v1/models",
+                "resolved_base_url": "http://localhost:8000",
+                "suggested_base_url": "http://localhost:8000/v1",
+                "used_fallback": False,
+            },
+        ):
+            result = validate_requested_model(
+                "qwen3",
+                "custom",
+                api_key="local-key",
+                base_url="http://localhost:8000",
+            )
+
+        assert result["accepted"] is True
+        assert result["persist"] is True
+        assert "http://localhost:8000/v1/models" in result["message"]
+        assert "http://localhost:8000/v1" in result["message"]

tests/hermes_cli/test_setup_model_provider.py

@@ -75,6 +75,58 @@ def test_setup_keep_current_custom_from_config_does_not_fall_through(tmp_path, m
     assert calls["count"] == 1
 
 
+def test_setup_custom_endpoint_saves_working_v1_base_url(tmp_path, monkeypatch):
+    monkeypatch.setenv("HERMES_HOME", str(tmp_path))
+    _clear_provider_env(monkeypatch)
+
+    config = load_config()
+
+    def fake_prompt_choice(question, choices, default=0):
+        if question == "Select your inference provider:":
+            return 3  # Custom endpoint
+        if question == "Configure vision:":
+            return len(choices) - 1  # Skip
+        raise AssertionError(f"Unexpected prompt_choice call: {question}")
+
+    def fake_prompt(message, current=None, **kwargs):
+        if "API base URL" in message:
+            return "http://localhost:8000"
+        if "API key" in message:
+            return "local-key"
+        if "Model name" in message:
+            return "llm"
+        return ""
+
+    monkeypatch.setattr("hermes_cli.setup.prompt_choice", fake_prompt_choice)
+    monkeypatch.setattr("hermes_cli.setup.prompt", fake_prompt)
+    monkeypatch.setattr("hermes_cli.setup.prompt_yes_no", lambda *args, **kwargs: False)
+    monkeypatch.setattr("hermes_cli.auth.get_active_provider", lambda: None)
+    monkeypatch.setattr("hermes_cli.auth.detect_external_credentials", lambda: [])
+    monkeypatch.setattr("agent.auxiliary_client.get_available_vision_backends", lambda: [])
+    monkeypatch.setattr(
+        "hermes_cli.models.probe_api_models",
+        lambda api_key, base_url: {
+            "models": ["llm"],
+            "probed_url": "http://localhost:8000/v1/models",
+            "resolved_base_url": "http://localhost:8000/v1",
+            "suggested_base_url": "http://localhost:8000/v1",
+            "used_fallback": True,
+        },
+    )
+
+    setup_model_provider(config)
+    save_config(config)
+
+    env = _read_env(tmp_path)
+    reloaded = load_config()
+
+    assert env.get("OPENAI_BASE_URL") == "http://localhost:8000/v1"
+    assert env.get("OPENAI_API_KEY") == "local-key"
+    assert reloaded["model"]["provider"] == "custom"
+    assert reloaded["model"]["base_url"] == "http://localhost:8000/v1"
+    assert reloaded["model"]["default"] == "llm"
+
+
 def test_setup_keep_current_config_provider_uses_provider_specific_model_menu(tmp_path, monkeypatch):
     """Keep-current should respect config-backed providers, not fall back to OpenRouter."""
     monkeypatch.setenv("HERMES_HOME", str(tmp_path))

tests/test_cli_provider_resolution.py

@@ -336,4 +336,42 @@ def test_cmd_model_falls_back_to_auto_on_invalid_provider(monkeypatch, capsys):
 
     assert "Warning:" in output
     assert "falling back to auto provider detection" in output.lower()
-    assert "No change." in output
+    assert "No change." in output
+
+
+def test_model_flow_custom_saves_verified_v1_base_url(monkeypatch, capsys):
+    monkeypatch.setattr(
+        "hermes_cli.config.get_env_value",
+        lambda key: "" if key in {"OPENAI_BASE_URL", "OPENAI_API_KEY"} else "",
+    )
+    saved_env = {}
+    monkeypatch.setattr("hermes_cli.config.save_env_value", lambda key, value: saved_env.__setitem__(key, value))
+    monkeypatch.setattr("hermes_cli.auth._save_model_choice", lambda model: saved_env.__setitem__("MODEL", model))
+    monkeypatch.setattr("hermes_cli.auth.deactivate_provider", lambda: None)
+    monkeypatch.setattr("hermes_cli.main._save_custom_provider", lambda *args, **kwargs: None)
+    monkeypatch.setattr(
+        "hermes_cli.models.probe_api_models",
+        lambda api_key, base_url: {
+            "models": ["llm"],
+            "probed_url": "http://localhost:8000/v1/models",
+            "resolved_base_url": "http://localhost:8000/v1",
+            "suggested_base_url": "http://localhost:8000/v1",
+            "used_fallback": True,
+        },
+    )
+    monkeypatch.setattr(
+        "hermes_cli.config.load_config",
+        lambda: {"model": {"default": "", "provider": "custom", "base_url": ""}},
+    )
+    monkeypatch.setattr("hermes_cli.config.save_config", lambda cfg: None)
+
+    answers = iter(["http://localhost:8000", "local-key", "llm"])
+    monkeypatch.setattr("builtins.input", lambda _prompt="": next(answers))
+
+    hermes_main._model_flow_custom({})
+    output = capsys.readouterr().out
+
+    assert "Saving the working base URL instead" in output
+    assert saved_env["OPENAI_BASE_URL"] == "http://localhost:8000/v1"
+    assert saved_env["OPENAI_API_KEY"] == "local-key"
+    assert saved_env["MODEL"] == "llm"

tests/test_run_agent.py

@@ -612,6 +612,25 @@ class TestBuildApiKwargs:
         kwargs = agent._build_api_kwargs(messages)
         assert kwargs["extra_body"]["reasoning"] == {"enabled": False}
 
+    def test_reasoning_not_sent_for_unsupported_openrouter_model(self, agent):
+        agent.model = "minimax/minimax-m2.5"
+        messages = [{"role": "user", "content": "hi"}]
+        kwargs = agent._build_api_kwargs(messages)
+        assert "reasoning" not in kwargs.get("extra_body", {})
+
+    def test_reasoning_sent_for_supported_openrouter_model(self, agent):
+        agent.model = "qwen/qwen3.5-plus-02-15"
+        messages = [{"role": "user", "content": "hi"}]
+        kwargs = agent._build_api_kwargs(messages)
+        assert kwargs["extra_body"]["reasoning"]["effort"] == "medium"
+
+    def test_reasoning_sent_for_nous_route(self, agent):
+        agent.base_url = "https://inference-api.nousresearch.com/v1"
+        agent.model = "minimax/minimax-m2.5"
+        messages = [{"role": "user", "content": "hi"}]
+        kwargs = agent._build_api_kwargs(messages)
+        assert kwargs["extra_body"]["reasoning"]["effort"] == "medium"
+
     def test_max_tokens_injected(self, agent):
         agent.max_tokens = 4096
         messages = [{"role": "user", "content": "hi"}]
@@ -942,6 +961,19 @@ class TestHandleMaxIterations:
         assert "error" in result.lower()
         assert "API down" in result
 
+    def test_summary_skips_reasoning_for_unsupported_openrouter_model(self, agent):
+        agent.model = "minimax/minimax-m2.5"
+        resp = _mock_response(content="Summary")
+        agent.client.chat.completions.create.return_value = resp
+        agent._cached_system_prompt = "You are helpful."
+        messages = [{"role": "user", "content": "do stuff"}]
+
+        result = agent._handle_max_iterations(messages, 60)
+
+        assert result == "Summary"
+        kwargs = agent.client.chat.completions.create.call_args.kwargs
+        assert "reasoning" not in kwargs.get("extra_body", {})
+
 
 class TestRunConversation:
     """Tests for the main run_conversation method.

tests/tools/test_registry.py

@@ -232,6 +232,48 @@ class TestCheckFnExceptionHandling:
         assert any(u["name"] == "crashes" for u in unavailable)
 
 
+class TestEmojiMetadata:
+    """Verify per-tool emoji registration and lookup."""
+
+    def test_emoji_stored_on_entry(self):
+        reg = ToolRegistry()
+        reg.register(
+            name="t", toolset="s", schema=_make_schema(),
+            handler=_dummy_handler, emoji="🔥",
+        )
+        assert reg._tools["t"].emoji == "🔥"
+
+    def test_get_emoji_returns_registered(self):
+        reg = ToolRegistry()
+        reg.register(
+            name="t", toolset="s", schema=_make_schema(),
+            handler=_dummy_handler, emoji="🎯",
+        )
+        assert reg.get_emoji("t") == "🎯"
+
+    def test_get_emoji_returns_default_when_unset(self):
+        reg = ToolRegistry()
+        reg.register(
+            name="t", toolset="s", schema=_make_schema(),
+            handler=_dummy_handler,
+        )
+        assert reg.get_emoji("t") == "⚡"
+        assert reg.get_emoji("t", default="🔧") == "🔧"
+
+    def test_get_emoji_returns_default_for_unknown_tool(self):
+        reg = ToolRegistry()
+        assert reg.get_emoji("nonexistent") == "⚡"
+        assert reg.get_emoji("nonexistent", default="❓") == "❓"
+
+    def test_emoji_empty_string_treated_as_unset(self):
+        reg = ToolRegistry()
+        reg.register(
+            name="t", toolset="s", schema=_make_schema(),
+            handler=_dummy_handler, emoji="",
+        )
+        assert reg.get_emoji("t") == "⚡"
+
+
 class TestSecretCaptureResultContract:
     def test_secret_request_result_does_not_include_secret_value(self):
         result = {

tests/tools/test_ssh_environment.py

@@ -0,0 +1,39 @@
+import pytest
+
+from tools.environments import ssh as ssh_env
+
+
+def test_ensure_ssh_available_raises_clear_error_when_missing(monkeypatch):
+    monkeypatch.setattr(ssh_env.shutil, "which", lambda _name: None)
+
+    with pytest.raises(RuntimeError, match="SSH is not installed or not in PATH"):
+        ssh_env._ensure_ssh_available()
+
+
+def test_ssh_environment_checks_availability_before_connect(monkeypatch):
+    monkeypatch.setattr(ssh_env.shutil, "which", lambda _name: None)
+    monkeypatch.setattr(
+        ssh_env.SSHEnvironment,
+        "_establish_connection",
+        lambda self: pytest.fail("_establish_connection should not run when ssh is missing"),
+    )
+
+    with pytest.raises(RuntimeError, match="openssh-client"):
+        ssh_env.SSHEnvironment(host="example.com", user="alice")
+
+
+def test_ssh_environment_connects_when_ssh_exists(monkeypatch):
+    called = {"count": 0}
+
+    monkeypatch.setattr(ssh_env.shutil, "which", lambda _name: "/usr/bin/ssh")
+
+    def _fake_establish(self):
+        called["count"] += 1
+
+    monkeypatch.setattr(ssh_env.SSHEnvironment, "_establish_connection", _fake_establish)
+
+    env = ssh_env.SSHEnvironment(host="example.com", user="alice")
+
+    assert called["count"] == 1
+    assert env.host == "example.com"
+    assert env.user == "alice"

tools/browser_tool.py

@@ -1833,6 +1833,7 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_navigate"],
     handler=lambda args, **kw: browser_navigate(url=args.get("url", ""), task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="🌐",
 )
 registry.register(
     name="browser_snapshot",
@@ -1841,6 +1842,7 @@ registry.register(
     handler=lambda args, **kw: browser_snapshot(
         full=args.get("full", False), task_id=kw.get("task_id"), user_task=kw.get("user_task")),
     check_fn=check_browser_requirements,
+    emoji="📸",
 )
 registry.register(
     name="browser_click",
@@ -1848,6 +1850,7 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_click"],
     handler=lambda args, **kw: browser_click(**args, task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="👆",
 )
 registry.register(
     name="browser_type",
@@ -1855,6 +1858,7 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_type"],
     handler=lambda args, **kw: browser_type(**args, task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="⌨️",
 )
 registry.register(
     name="browser_scroll",
@@ -1862,6 +1866,7 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_scroll"],
     handler=lambda args, **kw: browser_scroll(**args, task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="📜",
 )
 registry.register(
     name="browser_back",
@@ -1869,6 +1874,7 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_back"],
     handler=lambda args, **kw: browser_back(task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="◀️",
 )
 registry.register(
     name="browser_press",
@@ -1876,6 +1882,7 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_press"],
     handler=lambda args, **kw: browser_press(key=args.get("key", ""), task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="⌨️",
 )
 registry.register(
     name="browser_close",
@@ -1883,6 +1890,7 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_close"],
     handler=lambda args, **kw: browser_close(task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="🚪",
 )
 registry.register(
     name="browser_get_images",
@@ -1890,6 +1898,7 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_get_images"],
     handler=lambda args, **kw: browser_get_images(task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="🖼️",
 )
 registry.register(
     name="browser_vision",
@@ -1897,6 +1906,7 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_vision"],
     handler=lambda args, **kw: browser_vision(question=args.get("question", ""), annotate=args.get("annotate", False), task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="👁️",
 )
 registry.register(
     name="browser_console",
@@ -1904,4 +1914,5 @@ registry.register(
     schema=_BROWSER_SCHEMA_MAP["browser_console"],
     handler=lambda args, **kw: browser_console(clear=args.get("clear", False), task_id=kw.get("task_id")),
     check_fn=check_browser_requirements,
+    emoji="🖥️",
 )

tools/clarify_tool.py

@@ -137,4 +137,5 @@ registry.register(
         choices=args.get("choices"),
         callback=kw.get("callback")),
     check_fn=check_clarify_requirements,
+    emoji="❓",
 )

tools/code_execution_tool.py

@@ -776,4 +776,5 @@ registry.register(
         task_id=kw.get("task_id"),
         enabled_tools=kw.get("enabled_tools")),
     check_fn=check_sandbox_requirements,
+    emoji="🐍",
 )

tools/cronjob_tools.py

@@ -458,4 +458,5 @@ registry.register(
         task_id=kw.get("task_id"),
     ),
     check_fn=check_cronjob_requirements,
+    emoji="⏰",
 )

tools/delegate_tool.py

@@ -116,15 +116,8 @@ def _build_child_progress_callback(task_index: int, parent_agent, task_count: in
         # Regular tool call event
         if spinner:
             short = (preview[:35] + "...") if preview and len(preview) > 35 else (preview or "")
-            tool_emojis = {
-                "terminal": "💻", "web_search": "🔍", "web_extract": "📄",
-                "read_file": "📖", "write_file": "✍️", "patch": "🔧",
-                "search_files": "🔎", "list_directory": "📂",
-                "browser_navigate": "🌐", "browser_click": "👆",
-                "text_to_speech": "🔊", "image_generate": "🎨",
-                "vision_analyze": "👁️", "process": "⚙️",
-            }
-            emoji = tool_emojis.get(tool_name, "⚡")
+            from agent.display import get_tool_emoji
+            emoji = get_tool_emoji(tool_name)
             line = f" {prefix}├─ {emoji} {tool_name}"
             if short:
                 line += f"  \"{short}\""
@@ -758,4 +751,5 @@ registry.register(
         max_iterations=args.get("max_iterations"),
         parent_agent=kw.get("parent_agent")),
     check_fn=check_delegate_requirements,
+    emoji="🔀",
 )

tools/environments/ssh.py

@@ -1,6 +1,7 @@
 """SSH remote execution environment with ControlMaster connection persistence."""
 
 import logging
+import shutil
 import subprocess
 import tempfile
 import threading
@@ -13,6 +14,14 @@ from tools.interrupt import is_interrupted
 logger = logging.getLogger(__name__)
 
 
+def _ensure_ssh_available() -> None:
+    """Fail fast with a clear error when the SSH client is unavailable."""
+    if not shutil.which("ssh"):
+        raise RuntimeError(
+            "SSH is not installed or not in PATH. Install OpenSSH client: apt install openssh-client"
+        )
+
+
 class SSHEnvironment(BaseEnvironment):
     """Run commands on a remote machine over SSH.
 
@@ -35,6 +44,7 @@ class SSHEnvironment(BaseEnvironment):
         self.control_dir = Path(tempfile.gettempdir()) / "hermes-ssh"
         self.control_dir.mkdir(parents=True, exist_ok=True)
         self.control_socket = self.control_dir / f"{user}@{host}:{port}.sock"
+        _ensure_ssh_available()
         self._establish_connection()
 
     def _build_ssh_command(self, extra_args: list = None) -> list:

tools/file_tools.py

@@ -464,7 +464,7 @@ def _handle_search_files(args, **kw):
         output_mode=args.get("output_mode", "content"), context=args.get("context", 0), task_id=tid)
 
 
-registry.register(name="read_file", toolset="file", schema=READ_FILE_SCHEMA, handler=_handle_read_file, check_fn=_check_file_reqs)
-registry.register(name="write_file", toolset="file", schema=WRITE_FILE_SCHEMA, handler=_handle_write_file, check_fn=_check_file_reqs)
-registry.register(name="patch", toolset="file", schema=PATCH_SCHEMA, handler=_handle_patch, check_fn=_check_file_reqs)
-registry.register(name="search_files", toolset="file", schema=SEARCH_FILES_SCHEMA, handler=_handle_search_files, check_fn=_check_file_reqs)
+registry.register(name="read_file", toolset="file", schema=READ_FILE_SCHEMA, handler=_handle_read_file, check_fn=_check_file_reqs, emoji="📖")
+registry.register(name="write_file", toolset="file", schema=WRITE_FILE_SCHEMA, handler=_handle_write_file, check_fn=_check_file_reqs, emoji="✍️")
+registry.register(name="patch", toolset="file", schema=PATCH_SCHEMA, handler=_handle_patch, check_fn=_check_file_reqs, emoji="🔧")
+registry.register(name="search_files", toolset="file", schema=SEARCH_FILES_SCHEMA, handler=_handle_search_files, check_fn=_check_file_reqs, emoji="🔎")

tools/homeassistant_tool.py

@@ -459,6 +459,7 @@ registry.register(
     schema=HA_LIST_ENTITIES_SCHEMA,
     handler=_handle_list_entities,
     check_fn=_check_ha_available,
+    emoji="🏠",
 )
 
 registry.register(
@@ -467,6 +468,7 @@ registry.register(
     schema=HA_GET_STATE_SCHEMA,
     handler=_handle_get_state,
     check_fn=_check_ha_available,
+    emoji="🏠",
 )
 
 registry.register(
@@ -475,6 +477,7 @@ registry.register(
     schema=HA_LIST_SERVICES_SCHEMA,
     handler=_handle_list_services,
     check_fn=_check_ha_available,
+    emoji="🏠",
 )
 
 registry.register(
@@ -483,4 +486,5 @@ registry.register(
     schema=HA_CALL_SERVICE_SCHEMA,
     handler=_handle_call_service,
     check_fn=_check_ha_available,
+    emoji="🏠",
 )

tools/honcho_tools.py

@@ -222,6 +222,7 @@ registry.register(
     schema=_PROFILE_SCHEMA,
     handler=_handle_honcho_profile,
     check_fn=_check_honcho_available,
+    emoji="🔮",
 )
 
 registry.register(
@@ -230,6 +231,7 @@ registry.register(
     schema=_SEARCH_SCHEMA,
     handler=_handle_honcho_search,
     check_fn=_check_honcho_available,
+    emoji="🔮",
 )
 
 registry.register(
@@ -238,6 +240,7 @@ registry.register(
     schema=_QUERY_SCHEMA,
     handler=_handle_honcho_context,
     check_fn=_check_honcho_available,
+    emoji="🔮",
 )
 
 registry.register(
@@ -246,4 +249,5 @@ registry.register(
     schema=_CONCLUDE_SCHEMA,
     handler=_handle_honcho_conclude,
     check_fn=_check_honcho_available,
+    emoji="🔮",
 )

tools/image_generation_tool.py

@@ -558,4 +558,5 @@ registry.register(
     check_fn=check_image_generation_requirements,
     requires_env=["FAL_KEY"],
     is_async=False,  # Switched to sync fal_client API to fix "Event loop is closed" in gateway
+    emoji="🎨",
 )

tools/memory_tool.py

@@ -496,6 +496,7 @@ registry.register(
         old_text=args.get("old_text"),
         store=kw.get("store")),
     check_fn=check_memory_requirements,
+    emoji="🧠",
 )
 
 

tools/mixture_of_agents_tool.py

@@ -544,4 +544,5 @@ registry.register(
     check_fn=check_moa_requirements,
     requires_env=["OPENROUTER_API_KEY"],
     is_async=True,
+    emoji="🧠",
 )

tools/process_registry.py

@@ -858,4 +858,5 @@ registry.register(
     toolset="terminal",
     schema=PROCESS_SCHEMA,
     handler=_handle_process,
+    emoji="⚙️",
 )

tools/registry.py

@@ -26,11 +26,11 @@ class ToolEntry:
 
     __slots__ = (
         "name", "toolset", "schema", "handler", "check_fn",
-        "requires_env", "is_async", "description",
+        "requires_env", "is_async", "description", "emoji",
     )
 
     def __init__(self, name, toolset, schema, handler, check_fn,
-                 requires_env, is_async, description):
+                 requires_env, is_async, description, emoji):
         self.name = name
         self.toolset = toolset
         self.schema = schema
@@ -39,6 +39,7 @@ class ToolEntry:
         self.requires_env = requires_env
         self.is_async = is_async
         self.description = description
+        self.emoji = emoji
 
 
 class ToolRegistry:
@@ -62,6 +63,7 @@ class ToolRegistry:
         requires_env: list = None,
         is_async: bool = False,
         description: str = "",
+        emoji: str = "",
     ):
         """Register a tool.  Called at module-import time by each tool file."""
         self._tools[name] = ToolEntry(
@@ -73,6 +75,7 @@ class ToolRegistry:
             requires_env=requires_env or [],
             is_async=is_async,
             description=description or schema.get("description", ""),
+            emoji=emoji,
         )
         if check_fn and toolset not in self._toolset_checks:
             self._toolset_checks[toolset] = check_fn
@@ -141,6 +144,11 @@ class ToolRegistry:
         entry = self._tools.get(name)
         return entry.toolset if entry else None
 
+    def get_emoji(self, name: str, default: str = "⚡") -> str:
+        """Return the emoji for a tool, or *default* if unset."""
+        entry = self._tools.get(name)
+        return (entry.emoji if entry and entry.emoji else default)
+
     def get_tool_to_toolset_map(self) -> Dict[str, str]:
         """Return ``{tool_name: toolset_name}`` for every registered tool."""
         return {name: e.toolset for name, e in self._tools.items()}

tools/rl_training_tool.py

@@ -1374,24 +1374,24 @@ RL_TEST_INFERENCE_SCHEMA = {"name": "rl_test_inference", "description": "Quick i
 
 _rl_env = ["TINKER_API_KEY", "WANDB_API_KEY"]
 
-registry.register(name="rl_list_environments", toolset="rl", schema=RL_LIST_ENVIRONMENTS_SCHEMA,
+registry.register(name="rl_list_environments", emoji="🧪", toolset="rl", schema=RL_LIST_ENVIRONMENTS_SCHEMA,
     handler=lambda args, **kw: rl_list_environments(), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
-registry.register(name="rl_select_environment", toolset="rl", schema=RL_SELECT_ENVIRONMENT_SCHEMA,
+registry.register(name="rl_select_environment", emoji="🧪", toolset="rl", schema=RL_SELECT_ENVIRONMENT_SCHEMA,
     handler=lambda args, **kw: rl_select_environment(name=args.get("name", "")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
-registry.register(name="rl_get_current_config", toolset="rl", schema=RL_GET_CURRENT_CONFIG_SCHEMA,
+registry.register(name="rl_get_current_config", emoji="🧪", toolset="rl", schema=RL_GET_CURRENT_CONFIG_SCHEMA,
     handler=lambda args, **kw: rl_get_current_config(), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
-registry.register(name="rl_edit_config", toolset="rl", schema=RL_EDIT_CONFIG_SCHEMA,
+registry.register(name="rl_edit_config", emoji="🧪", toolset="rl", schema=RL_EDIT_CONFIG_SCHEMA,
     handler=lambda args, **kw: rl_edit_config(field=args.get("field", ""), value=args.get("value")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
-registry.register(name="rl_start_training", toolset="rl", schema=RL_START_TRAINING_SCHEMA,
+registry.register(name="rl_start_training", emoji="🧪", toolset="rl", schema=RL_START_TRAINING_SCHEMA,
     handler=lambda args, **kw: rl_start_training(), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
-registry.register(name="rl_check_status", toolset="rl", schema=RL_CHECK_STATUS_SCHEMA,
+registry.register(name="rl_check_status", emoji="🧪", toolset="rl", schema=RL_CHECK_STATUS_SCHEMA,
     handler=lambda args, **kw: rl_check_status(run_id=args.get("run_id", "")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
-registry.register(name="rl_stop_training", toolset="rl", schema=RL_STOP_TRAINING_SCHEMA,
+registry.register(name="rl_stop_training", emoji="🧪", toolset="rl", schema=RL_STOP_TRAINING_SCHEMA,
     handler=lambda args, **kw: rl_stop_training(run_id=args.get("run_id", "")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
-registry.register(name="rl_get_results", toolset="rl", schema=RL_GET_RESULTS_SCHEMA,
+registry.register(name="rl_get_results", emoji="🧪", toolset="rl", schema=RL_GET_RESULTS_SCHEMA,
     handler=lambda args, **kw: rl_get_results(run_id=args.get("run_id", "")), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
-registry.register(name="rl_list_runs", toolset="rl", schema=RL_LIST_RUNS_SCHEMA,
+registry.register(name="rl_list_runs", emoji="🧪", toolset="rl", schema=RL_LIST_RUNS_SCHEMA,
     handler=lambda args, **kw: rl_list_runs(), check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)
-registry.register(name="rl_test_inference", toolset="rl", schema=RL_TEST_INFERENCE_SCHEMA,
+registry.register(name="rl_test_inference", emoji="🧪", toolset="rl", schema=RL_TEST_INFERENCE_SCHEMA,
     handler=lambda args, **kw: rl_test_inference(num_steps=args.get("num_steps", 3), group_size=args.get("group_size", 16), models=args.get("models")),
     check_fn=check_rl_api_keys, requires_env=_rl_env, is_async=True)

tools/send_message_tool.py

@@ -512,4 +512,5 @@ registry.register(
     schema=SEND_MESSAGE_SCHEMA,
     handler=send_message_tool,
     check_fn=_check_send_message,
+    emoji="📨",
 )

tools/session_search_tool.py

@@ -385,4 +385,5 @@ registry.register(
         db=kw.get("db"),
         current_session_id=kw.get("current_session_id")),
     check_fn=check_session_search_requirements,
+    emoji="🔍",
 )

tools/skill_manager_tool.py

@@ -653,4 +653,5 @@ registry.register(
         old_string=args.get("old_string"),
         new_string=args.get("new_string"),
         replace_all=args.get("replace_all", False)),
+    emoji="📝",
 )

tools/skills_tool.py

@@ -1261,6 +1261,7 @@ registry.register(
         category=args.get("category"), task_id=kw.get("task_id")
     ),
     check_fn=check_skills_requirements,
+    emoji="📚",
 )
 registry.register(
     name="skill_view",
@@ -1270,4 +1271,5 @@ registry.register(
         args.get("name", ""), file_path=args.get("file_path"), task_id=kw.get("task_id")
     ),
     check_fn=check_skills_requirements,
+    emoji="📚",
 )

tools/terminal_tool.py

@@ -1317,4 +1317,5 @@ registry.register(
     schema=TERMINAL_SCHEMA,
     handler=_handle_terminal,
     check_fn=check_terminal_requirements,
+    emoji="💻",
 )

tools/todo_tool.py

@@ -264,4 +264,5 @@ registry.register(
     handler=lambda args, **kw: todo_tool(
         todos=args.get("todos"), merge=args.get("merge", False), store=kw.get("store")),
     check_fn=check_todo_requirements,
+    emoji="📋",
 )

tools/tts_tool.py

@@ -743,4 +743,5 @@ registry.register(
         text=args.get("text", ""),
         output_path=args.get("output_path")),
     check_fn=check_tts_requirements,
+    emoji="🔊",
 )

tools/vision_tools.py

@@ -493,4 +493,5 @@ registry.register(
     handler=_handle_vision_analyze,
     check_fn=check_vision_requirements,
     is_async=True,
+    emoji="👁️",
 )

tools/web_tools.py

@@ -1258,6 +1258,7 @@ registry.register(
     handler=lambda args, **kw: web_search_tool(args.get("query", ""), limit=5),
     check_fn=check_firecrawl_api_key,
     requires_env=["FIRECRAWL_API_KEY"],
+    emoji="🔍",
 )
 registry.register(
     name="web_extract",
@@ -1268,4 +1269,5 @@ registry.register(
     check_fn=check_firecrawl_api_key,
     requires_env=["FIRECRAWL_API_KEY"],
     is_async=True,
+    emoji="📄",
 )