fix: stop rejecting unlisted models, accept with warning instead

* fix: use session_key instead of chat_id for adapter interrupt lookups

monitor_for_interrupt() in _run_agent was using source.chat_id to query
the adapter's has_pending_interrupt() and get_pending_message() methods.
But the adapter stores interrupt events under build_session_key(source),
which produces a different string (e.g. 'agent:main:telegram:dm' vs '123456').

This key mismatch meant the interrupt was never detected through the
adapter path, which is the only active interrupt path for all adapter-based
platforms (Telegram, Discord, Slack, etc.). The gateway-level interrupt
path (in dispatch_message) is unreachable because the adapter intercepts
the 2nd message in handle_message() before it reaches dispatch_message().

Result: sending a new message while subagents were running had no effect —
the interrupt was silently lost.

Fix: replace all source.chat_id references in the interrupt-related code
within _run_agent() with the session_key parameter, which matches the
adapter's storage keys.

Also adds regression tests verifying session_key vs chat_id consistency.

* debug: add file-based logging to CLI interrupt path

Temporary instrumentation to diagnose why message-based interrupts
don't seem to work during subagent execution. Logs to
~/.hermes/interrupt_debug.log (immune to redirect_stdout).

Two log points:
1. When Enter handler puts message into _interrupt_queue
2. When chat() reads it and calls agent.interrupt()

This will reveal whether the message reaches the queue and
whether the interrupt is actually fired.

* fix: accept unlisted models with warning instead of rejecting

validate_requested_model() previously hard-rejected any model not found
in the provider's API listing. This was too aggressive — users on higher
plan tiers (e.g. Z.AI Pro/Max) may have access to models not shown in
the public listing (like glm-5 on coding endpoints).

Changes:
- validate_requested_model: accept unlisted models with a warning note
  instead of blocking. The model is saved to config and used immediately.
- Z.AI setup: always offer glm-5 in the model list regardless of whether
  a coding endpoint was detected. Pro/Max plans support it.
- Z.AI setup detection message: softened from 'GLM-5 is not available'
  to 'GLM-5 may still be available depending on your plan tier'

hermes_cli/models.py

@@ -327,44 +327,35 @@ def validate_requested_model(
                 "message": None,
             }
         else:
-            # API responded but model is not listed
+            # 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.
             suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
             suggestion_text = ""
             if suggestions:
-                suggestion_text = "\n  Did you mean: " + ", ".join(f"`{s}`" for s in suggestions)
+                suggestion_text = "\n  Similar models: " + ", ".join(f"`{s}`" for s in suggestions)
 
             return {
-                "accepted": False,
-                "persist": False,
+                "accepted": True,
+                "persist": True,
                 "recognized": False,
                 "message": (
-                    f"Error: `{requested}` is not a valid model for this provider."
+                    f"Note: `{requested}` was not found in this provider's model listing. "
+                    f"It may still work if your plan supports it."
                     f"{suggestion_text}"
                 ),
             }
 
-    # api_models is None — couldn't reach API, fall back to catalog check
+    # api_models is None — couldn't reach API.  Accept and persist,
+    # but warn so typos don't silently break things.
     provider_label = _PROVIDER_LABELS.get(normalized, normalized)
-    known_models = provider_model_ids(normalized)
-
-    if requested in known_models:
-        return {
-            "accepted": True,
-            "persist": True,
-            "recognized": True,
-            "message": None,
-        }
-
-    # Can't validate — accept for session only
-    suggestion = get_close_matches(requested, known_models, n=1, cutoff=0.6)
-    suggestion_text = f" Did you mean `{suggestion[0]}`?" if suggestion else ""
     return {
         "accepted": True,
-        "persist": False,
+        "persist": True,
         "recognized": False,
         "message": (
-            f"Could not validate `{requested}` against the live {provider_label} API. "
-            "Using it for this session only; config unchanged."
-            f"{suggestion_text}"
+            f"Could not reach the {provider_label} API to validate `{requested}`. "
+            f"If the service isn't down, this model may not be valid."
         ),
     }