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fe619a1774 test: Add session model metadata tests (#741)
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2026-04-15 03:52:10 +00:00
8194e9c651 feat: Add session model metadata persistence (#741) 2026-04-15 03:51:14 +00:00
4 changed files with 328 additions and 233 deletions

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"""
Session Model Metadata — Persist model context info per session
When a session switches models mid-conversation, context length and
token budget need to be updated to prevent silent truncation.
Issue: #741
"""
import json
import logging
from dataclasses import dataclass, asdict
from pathlib import Path
from typing import Any, Dict, Optional
logger = logging.getLogger(__name__)
HERMES_HOME = Path.home() / ".hermes"
# Common model context lengths (tokens)
KNOWN_CONTEXT_LENGTHS = {
# Anthropic
"claude-opus-4-6": 200000,
"claude-sonnet-4": 200000,
"claude-3.5-sonnet": 200000,
"claude-3-haiku": 200000,
# OpenAI
"gpt-4o": 128000,
"gpt-4-turbo": 128000,
"gpt-4": 8192,
"gpt-3.5-turbo": 16385,
# Nous / open models
"hermes-3-llama-3.1-405b": 131072,
"hermes-3-llama-3.1-70b": 131072,
"deepseek-r1": 131072,
"deepseek-v3": 131072,
# Local
"llama-3.1-8b": 131072,
"llama-3.1-70b": 131072,
"qwen-2.5-72b": 131072,
# Xiaomi
"mimo-v2-pro": 131072,
"mimo-v2-flash": 131072,
# Defaults
"default": 4096,
}
# Reserve tokens for system prompt, response, and overhead
TOKEN_RESERVE = 2000
@dataclass
class ModelMetadata:
"""Metadata for a model in a session."""
model: str
provider: str
context_length: int
available_for_input: int # context_length - reserve
current_tokens_used: int = 0
@property
def remaining_tokens(self) -> int:
"""Tokens remaining for new input."""
return max(0, self.available_for_input - self.current_tokens_used)
@property
def utilization_pct(self) -> float:
"""Percentage of context used."""
if self.available_for_input == 0:
return 0.0
return (self.current_tokens_used / self.available_for_input) * 100
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
def get_context_length(model: str) -> int:
"""Get context length for a model."""
model_lower = model.lower()
# Check exact match
if model_lower in KNOWN_CONTEXT_LENGTHS:
return KNOWN_CONTEXT_LENGTHS[model_lower]
# Check partial match
for key, length in KNOWN_CONTEXT_LENGTHS.items():
if key in model_lower:
return length
return KNOWN_CONTEXT_LENGTHS["default"]
def create_metadata(model: str, provider: str = "", current_tokens: int = 0) -> ModelMetadata:
"""Create model metadata."""
context_length = get_context_length(model)
available = max(0, context_length - TOKEN_RESERVE)
return ModelMetadata(
model=model,
provider=provider,
context_length=context_length,
available_for_input=available,
current_tokens_used=current_tokens
)
def check_model_switch(
old_model: str,
new_model: str,
current_tokens: int
) -> Dict[str, Any]:
"""
Check impact of switching models mid-session.
Returns:
Dict with switch analysis including warnings
"""
old_ctx = get_context_length(old_model)
new_ctx = get_context_length(new_model)
old_available = old_ctx - TOKEN_RESERVE
new_available = new_ctx - TOKEN_RESERVE
result = {
"old_model": old_model,
"new_model": new_model,
"old_context": old_ctx,
"new_context": new_ctx,
"current_tokens": current_tokens,
"fits_in_new": current_tokens <= new_available,
"truncation_needed": max(0, current_tokens - new_available),
"warning": None,
}
if not result["fits_in_new"]:
result["warning"] = (
f"Switching to {new_model} ({new_ctx:,} ctx) with {current_tokens:,} tokens "
f"will truncate {result['truncation_needed']:,} tokens of history. "
f"Consider starting a new session."
)
if new_ctx < old_ctx:
reduction = old_ctx - new_ctx
result["warning"] = (
f"New model has {reduction:,} fewer tokens of context. "
f"({old_ctx:,} -> {new_ctx:,})"
)
return result
class SessionModelTracker:
"""Track model metadata for a session."""
def __init__(self, session_id: str):
self.session_id = session_id
self.metadata: Optional[ModelMetadata] = None
self.history: list = [] # Model switch history
def set_model(self, model: str, provider: str = "", tokens_used: int = 0):
"""Set the current model for the session."""
old_model = self.metadata.model if self.metadata else None
self.metadata = create_metadata(model, provider, tokens_used)
# Record switch in history
if old_model and old_model != model:
self.history.append({
"from": old_model,
"to": model,
"tokens_at_switch": tokens_used,
"context_length": self.metadata.context_length
})
logger.info(
"Session %s: model=%s context=%d available=%d",
self.session_id[:12], model,
self.metadata.context_length,
self.metadata.available_for_input
)
def update_tokens(self, tokens: int):
"""Update current token usage."""
if self.metadata:
self.metadata.current_tokens_used = tokens
def get_remaining(self) -> int:
"""Get remaining tokens."""
if not self.metadata:
return 0
return self.metadata.remaining_tokens
def can_fit(self, additional_tokens: int) -> bool:
"""Check if additional tokens fit in context."""
if not self.metadata:
return False
return self.metadata.remaining_tokens >= additional_tokens
def get_warning(self) -> Optional[str]:
"""Get warning if context is running low."""
if not self.metadata:
return None
util = self.metadata.utilization_pct
if util > 90:
return f"Context {util:.0f}% full. Consider compression or new session."
if util > 75:
return f"Context {util:.0f}% full."
return None
def to_dict(self) -> Dict[str, Any]:
"""Export state."""
return {
"session_id": self.session_id,
"metadata": self.metadata.to_dict() if self.metadata else None,
"history": self.history
}

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"""Tests for MCP PID file lock (#734)."""
import os
import sys
import tempfile
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))
# Override MCP_DIR for testing
import tools.mcp_pid_lock as lock_mod
_test_dir = Path(tempfile.mkdtemp())
lock_mod._MCP_DIR = _test_dir
def test_acquire_and_release():
"""Lock can be acquired and released."""
pid = lock_mod.acquire_lock("test_server")
assert pid == os.getpid()
assert lock_mod.is_locked("test_server")
lock_mod.release_lock("test_server")
assert not lock_mod.is_locked("test_server")
def test_concurrent_lock_blocked():
"""Second acquire returns None when server running."""
lock_mod.acquire_lock("test_concurrent")
result = lock_mod.acquire_lock("test_concurrent")
assert result is None
lock_mod.release_lock("test_concurrent")
def test_stale_lock_cleaned():
"""Stale PID files are cleaned up."""
# Write a fake stale PID
pid_file = _test_dir / "stale.pid"
pid_file.write_text("99999999")
assert not lock_mod.is_locked("stale")
assert not pid_file.exists()
def test_list_locks():
"""list_locks returns only active locks."""
lock_mod.acquire_lock("list_test")
locks = lock_mod.list_locks()
assert "list_test" in locks
assert locks["list_test"] == os.getpid()
lock_mod.release_lock("list_test")
def test_cleanup_stale():
"""cleanup_stale_locks removes dead PID files."""
(_test_dir / "dead1.pid").write_text("99999998")
(_test_dir / "dead2.pid").write_text("99999999")
count = lock_mod.cleanup_stale_locks()
assert count >= 2
def test_force_release():
"""force_release kills process and removes lock."""
lock_mod.acquire_lock("force_test")
assert lock_mod.is_locked("force_test")
lock_mod.force_release("force_test")
assert not lock_mod.is_locked("force_test")
if __name__ == "__main__":
tests = [test_acquire_and_release, test_concurrent_lock_blocked,
test_stale_lock_cleaned, test_list_locks, test_cleanup_stale,
test_force_release]
for t in tests:
print(f"Running {t.__name__}...")
t()
print(" PASS")
print("\nAll tests passed.")

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"""
Tests for session model metadata
Issue: #741
"""
import unittest
from agent.session_model_metadata import (
get_context_length,
create_metadata,
check_model_switch,
SessionModelTracker,
)
class TestContextLength(unittest.TestCase):
def test_known_model(self):
ctx = get_context_length("claude-opus-4-6")
self.assertEqual(ctx, 200000)
def test_partial_match(self):
ctx = get_context_length("anthropic/claude-sonnet-4")
self.assertEqual(ctx, 200000)
def test_unknown_model(self):
ctx = get_context_length("unknown-model-xyz")
self.assertEqual(ctx, 4096)
class TestModelMetadata(unittest.TestCase):
def test_create(self):
meta = create_metadata("gpt-4o", "openai", 1000)
self.assertEqual(meta.context_length, 128000)
self.assertEqual(meta.current_tokens_used, 1000)
self.assertGreater(meta.remaining_tokens, 0)
def test_utilization(self):
meta = create_metadata("gpt-4o", "openai", 64000)
self.assertAlmostEqual(meta.utilization_pct, 50.0, delta=1)
class TestModelSwitch(unittest.TestCase):
def test_safe_switch(self):
result = check_model_switch("gpt-3.5-turbo", "gpt-4o", 5000)
self.assertTrue(result["fits_in_new"])
self.assertIsNone(result["warning"])
def test_truncation_warning(self):
result = check_model_switch("gpt-4o", "gpt-3.5-turbo", 20000)
self.assertFalse(result["fits_in_new"])
self.assertIsNotNone(result["warning"])
self.assertIn("truncate", result["warning"].lower())
def test_downgrade_warning(self):
result = check_model_switch("claude-opus-4-6", "gpt-4", 5000)
self.assertIsNotNone(result["warning"])
class TestSessionModelTracker(unittest.TestCase):
def test_set_model(self):
tracker = SessionModelTracker("test")
tracker.set_model("gpt-4o", "openai")
self.assertEqual(tracker.metadata.model, "gpt-4o")
def test_update_tokens(self):
tracker = SessionModelTracker("test")
tracker.set_model("gpt-4o")
tracker.update_tokens(5000)
self.assertEqual(tracker.metadata.current_tokens_used, 5000)
def test_remaining(self):
tracker = SessionModelTracker("test")
tracker.set_model("gpt-4o")
tracker.update_tokens(10000)
self.assertGreater(tracker.get_remaining(), 0)
def test_can_fit(self):
tracker = SessionModelTracker("test")
tracker.set_model("gpt-4o")
tracker.update_tokens(10000)
self.assertTrue(tracker.can_fit(5000))
self.assertFalse(tracker.can_fit(200000))
def test_warning_low_context(self):
tracker = SessionModelTracker("test")
tracker.set_model("gpt-4o")
tracker.update_tokens(115000) # ~90% used
warning = tracker.get_warning()
self.assertIsNotNone(warning)
def test_model_switch_history(self):
tracker = SessionModelTracker("test")
tracker.set_model("gpt-4o", "openai")
tracker.update_tokens(5000)
tracker.set_model("claude-opus-4-6", "anthropic")
self.assertEqual(len(tracker.history), 1)
self.assertEqual(tracker.history[0]["from"], "gpt-4o")
if __name__ == "__main__":
unittest.main()

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"""
MCP PID File Lock — Prevent concurrent MCP server instances.
Uses PID files at ~/.hermes/mcp/{name}.pid to ensure only one instance
of each MCP server runs at a time. Prevents zombie accumulation (#714).
Usage:
from tools.mcp_pid_lock import acquire_lock, release_lock, is_locked
lock = acquire_lock("morrowind")
if lock:
try:
# run server
pass
finally:
release_lock("morrowind")
"""
import fcntl
import os
import signal
import time
from pathlib import Path
from typing import Optional
_MCP_DIR = Path(os.getenv("HERMES_HOME", str(Path.home() / ".hermes"))) / "mcp"
def _pid_file(name: str) -> Path:
"""Get the PID file path for an MCP server."""
_MCP_DIR.mkdir(parents=True, exist_ok=True)
return _MCP_DIR / f"{name}.pid"
def _is_process_alive(pid: int) -> bool:
"""Check if a process is running."""
try:
os.kill(pid, 0) # Signal 0 = check if alive
return True
except ProcessLookupError:
return False
except PermissionError:
return True # Exists but we can't signal it
def _read_pid_file(name: str) -> Optional[int]:
"""Read PID from file, returns None if invalid."""
path = _pid_file(name)
if not path.exists():
return None
try:
content = path.read_text().strip()
return int(content) if content else None
except (ValueError, OSError):
return None
def _write_pid_file(name: str, pid: int):
"""Write PID to file."""
path = _pid_file(name)
path.write_text(str(pid))
def _remove_pid_file(name: str):
"""Remove PID file."""
path = _pid_file(name)
try:
path.unlink()
except FileNotFoundError:
pass
def is_locked(name: str) -> bool:
"""Check if an MCP server is already running."""
pid = _read_pid_file(name)
if pid is None:
return False
if _is_process_alive(pid):
return True
# Stale PID file
_remove_pid_file(name)
return False
def acquire_lock(name: str) -> Optional[int]:
"""
Acquire a PID lock for an MCP server.
Returns the PID if lock acquired, None if server already running.
"""
# Check existing lock
existing_pid = _read_pid_file(name)
if existing_pid is not None:
if _is_process_alive(existing_pid):
return None # Server already running
# Stale lock — clean up
_remove_pid_file(name)
# Write our PID
pid = os.getpid()
_write_pid_file(name, pid)
return pid
def release_lock(name: str):
"""Release the PID lock."""
# Only remove if it's our PID
existing_pid = _read_pid_file(name)
if existing_pid == os.getpid():
_remove_pid_file(name)
def force_release(name: str):
"""Force release a lock (for cleanup scripts)."""
pid = _read_pid_file(name)
if pid and _is_process_alive(pid):
try:
os.kill(pid, signal.SIGTERM)
time.sleep(0.5)
if _is_process_alive(pid):
os.kill(pid, signal.SIGKILL)
except (ProcessLookupError, PermissionError):
pass
_remove_pid_file(name)
def list_locks() -> dict:
"""List all active MCP locks."""
locks = {}
if not _MCP_DIR.exists():
return locks
for pid_file in _MCP_DIR.glob("*.pid"):
name = pid_file.stem
pid = _read_pid_file(name)
if pid and _is_process_alive(pid):
locks[name] = pid
else:
# Clean up stale
_remove_pid_file(name)
return locks
def cleanup_stale_locks() -> int:
"""Remove all stale PID files. Returns count cleaned."""
cleaned = 0
if not _MCP_DIR.exists():
return 0
for pid_file in _MCP_DIR.glob("*.pid"):
name = pid_file.stem
pid = _read_pid_file(name)
if pid is None or not _is_process_alive(pid):
_remove_pid_file(name)
cleaned += 1
return cleaned