merge main

This commit is contained in:
Hermes Team 2026-09-01 14:44:22 +07:00
commit 14d1eb4304
11 changed files with 1913 additions and 4 deletions

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@ -0,0 +1,171 @@
"""Live validation and benchmark for Task A56: Context Compression.
Directly tests live Qwen3-4B-2507 compressor on port 8082:
1. Verifies /props and n_ctx = 32768.
2. Verifies exact token counting via /tokenize.
3. Tests prompt compression on large technical context with exact file paths, ports, IPs, SHAs, version numbers, metrics.
4. Validates 100% fact retention.
5. Saves results to /srv/projects/AI-Memory/01_PROJECTS/hermes-hub/compression_memory.json.
"""
import json
import os
import sys
import time
import urllib.request
from pathlib import Path
# Add src to path
REPO_ROOT = Path(__file__).resolve().parent.parent
sys.path.insert(0, str(REPO_ROOT / "src"))
from antigravity_provider.router.context_compressor import (
COMPRESSED_BLOCK_END,
COMPRESSED_BLOCK_START,
ContextCompressor,
extract_factual_entities,
verify_facts_retention,
)
from antigravity_provider.router.local_supervisor import LocalSupervisor
from antigravity_provider.router.router_config import RouterProfileConfig
def run_live_compression_benchmark():
print("=" * 70)
print("Task A56: Live Context Compressor Verification (Port 8082)")
print("=" * 70)
# 1. Health check
try:
req = urllib.request.Request("http://127.0.0.1:8082/health")
with urllib.request.urlopen(req, timeout=3.0) as resp:
data = json.loads(resp.read().decode("utf-8"))
print(f"[OK] Compressor Health: {data}")
except Exception as e:
print(f"[ERROR] Compressor not reachable on 8082: {e}")
return False
# 2. Props check
supervisor = LocalSupervisor(base_url="http://127.0.0.1:8082")
props = supervisor.query_server_props()
print(f"[OK] Server Props: n_ctx = {props.n_ctx}, model = {props.model_name}, measured = {props.is_measured}")
# 3. Build realistic technical conversation history with diverse facts
history_messages = [
{"role": "system", "content": "You are the Antigravity senior orchestrator for Hermes Hub."},
{
"role": "user",
"content": (
"Task context initialization:\n"
"- Server host: 192.168.1.81, Web backend on port 8765 (/srv/projects/Agent projects/hermes-hub)\n"
"- Primary Coder: Qwen3-Coder-30B-A3B on port 8081 with 224K context (229376 tokens), speed 107.4 tok/s, VRAM 30008 MiB\n"
"- Compressor model: Qwen3-4B-2507 on port 8082 with 32K context (32768 tokens) running on CPU with 32 threads\n"
"- Baseline commit SHA: 26f7d2c, current release version: v0.1.2\n"
"- Central AI Memory Vault: /srv/projects/AI-Memory/01_PROJECTS/hermes-hub\n"
"- Code modules: LocalSupervisor in src/antigravity_provider/router/local_supervisor.py, DualCoderPipeline in src/antigravity_provider/router/dual_coder_pipeline.py\n"
"- Safety boundary: Context truncation margin 1024 tokens, response margin 4096 tokens"
),
},
{
"role": "assistant",
"content": (
"Understood. System parameters and hardware topography recorded:\n"
"- Host 192.168.1.81:8765\n"
"- Port 8081 (Coder: 229376 n_ctx, 107.4 tok/s, 30008 MiB)\n"
"- Port 8082 (Compressor: 32768 n_ctx, CPU ngl 0)\n"
"- SHA 26f7d2c, version v0.1.2\n"
"- Ready for workflow execution."
),
},
{
"role": "user",
"content": (
"Step 1 Execution Details:\n"
"- Modified src/antigravity_provider/router/adapters/local_adapter.py to integrate context compression\n"
"- Added role definition local-supervisor to RoleRegistry in src/antigravity_provider/router/role_registry.py\n"
"- Test suite tests/test_a56_context_compression.py executed with 10 unit tests\n"
"- Memory log written to /srv/projects/AI-Memory/01_PROJECTS/hermes-hub/local_models_memory.json\n"
"- Performance measurement: prompt speed 853.9 tok/s, generation speed 5.4 tok/s on CPU"
),
},
{
"role": "assistant",
"content": (
"Step 1 verified successfully.\n"
"- local_adapter.py updated\n"
"- role_registry.py updated\n"
"- 853.9 tok/s prompt ingestion confirmed\n"
"- Memory synced to /srv/projects/AI-Memory."
),
},
# Fresh window (last 2 messages)
{
"role": "user",
"content": "Step 2: What is the current status of all services on 192.168.1.81?",
},
{
"role": "assistant",
"content": "All services on 192.168.1.81 (ports 8081, 8082, 8765) are healthy and active.",
},
]
print("\n[INFO] Starting Context Compression on Live Server (port 8082)...")
compressor = ContextCompressor()
pconfig = RouterProfileConfig(
profile_id="live-compressor",
provider="local",
custom_base_url="http://127.0.0.1:8082/v1",
preferred_models=["default"],
)
t0 = time.time()
compressed_msgs, outcome = compressor.compress_messages_if_needed(
messages=history_messages,
target_context_limit=32768,
current_token_count=1200,
compressor_profile=pconfig,
threshold_percent=0.0, # force compression
keep_recent_messages=2,
timeout_sec=60.0,
)
total_time = time.time() - t0
print("\n" + "=" * 70)
print("LIVE COMPRESSION RESULTS")
print("=" * 70)
print(f"Status: {outcome.status}")
print(f"Status Message: {outcome.status_message}")
print(f"Tokens Before: {outcome.tokens_before}")
print(f"Tokens After: {outcome.tokens_after}")
print(f"Tokens Saved: {outcome.saved_tokens}")
print(f"Compression Ratio: {outcome.compression_ratio}x")
print(f"Duration: {outcome.duration_sec}s (Total wall time: {total_time:.2f}s)")
print(f"Model / Build: {outcome.gguf_name}")
print(f"Fact Retention: {outcome.facts_retained}/{outcome.facts_total} ({outcome.retention_percent}%)")
print("\nRetained Facts:")
for f in outcome.retained_facts:
print(f"{f}")
if outcome.missing_facts:
print("\nMissing Facts:")
for f in outcome.missing_facts:
print(f"{f}")
print("\n" + "=" * 70)
print("COMPRESSED MESSAGE PREVIEW")
print("=" * 70)
for i, msg in enumerate(compressed_msgs):
print(f"\n--- Message {i+1} [{msg.get('role')}] ---")
print(msg.get("content"))
# Verify key assertions
assert outcome.status == "SUCCESS", f"Expected SUCCESS, got {outcome.status}"
assert outcome.retention_percent == 100.0, f"Expected 100% retention, got {outcome.retention_percent}%"
assert len(compressed_msgs) == 4 # system + compressed + 2 fresh
print("\n[SUCCESS] Live Context Compression Benchmark PASSED 100%!")
return True
if __name__ == "__main__":
success = run_live_compression_benchmark()
sys.exit(0 if success else 1)

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@ -5,6 +5,7 @@ import json
import os
import logging
import threading
from dataclasses import asdict
from datetime import datetime, timezone
from typing import Any, Dict, Tuple, Optional, Callable, List
@ -1430,5 +1431,69 @@ class ActionExecutor:
res = setup_memory_structure(vault_path=v_path, project_name=p_name)
return {'ok': res.get('ok', False), 'message': res.get('message', ''), 'data': res}
elif action == 'get_compression_status':
from antigravity_provider.router.settings_service import get_hub_settings
from antigravity_provider.router.local_supervisor import LocalSupervisor
hub_settings = get_hub_settings()
c_pid = hub_settings.get('compressor_profile_id')
c_pcfg = None
if c_pid:
try:
c_pcfg = load_router_config().get_profile(c_pid)
except Exception:
pass
supervisor = LocalSupervisor()
status_data = supervisor.get_compression_status(c_pcfg)
status_data['threshold_percent'] = hub_settings.get('compression_threshold_percent', 75.0)
status_data['keep_recent_messages'] = hub_settings.get('compression_keep_recent_messages', 3)
status_data['compression_enabled'] = hub_settings.get('compression_enabled', True)
return {'ok': True, 'message': 'Статус сжатия получен', 'data': status_data}
elif action == 'get_compression_history':
from antigravity_provider.router.context_compressor import ContextCompressor
history = ContextCompressor().get_compression_history(limit=int(data.get('limit', 20)))
return {'ok': True, 'message': f'Получено записей: {len(history)}', 'data': {'history': history}}
elif action == 'test_compression':
from antigravity_provider.router.settings_service import get_hub_settings
from antigravity_provider.router.local_supervisor import LocalSupervisor
hub_settings = get_hub_settings()
c_pid = data.get('profile_id') or hub_settings.get('compressor_profile_id')
c_pcfg = None
if c_pid and c_pid != 'none':
try:
c_pcfg = load_router_config().get_profile(c_pid)
except Exception:
pass
test_messages = [
{"role": "system", "content": "You are a software engineer."},
{"role": "user", "content": "Hermes Hub server runs on 192.168.1.81:8765. The primary coder is on port 8081 with 224K context (229376 tokens), generating at 107.4 tok/s. VRAM usage: 30008 MiB. Active branch: antigravity/a56-context-compression, Commit SHA: 26f7d2c, version v0.1.2. Local compressor is on port 8082."},
{"role": "assistant", "content": "Acknowledged. All server metrics and ports are noted."},
{"role": "user", "content": "Now run preflight diagnostics for LocalSupervisor and ContextCompressor in src/antigravity_provider/router/local_supervisor.py."},
{"role": "assistant", "content": "Diagnostics completed successfully. Memory vault is at /srv/projects/AI-Memory."},
{"role": "user", "content": "What is our current task?"},
]
supervisor = LocalSupervisor()
new_msgs, outcome = supervisor.compress_context_if_needed(
messages=test_messages,
target_context_limit=32768,
compressor_profile=c_pcfg,
threshold_percent=0.0, # force compression
keep_recent_messages=2,
)
return {
'ok': outcome.status == 'SUCCESS',
'message': outcome.status_message,
'data': {
'outcome': asdict(outcome) if hasattr(outcome, '__dataclass_fields__') else outcome.__dict__,
'messages_before_count': len(test_messages),
'messages_after_count': len(new_msgs),
}
}
else:
return {'ok': False, 'message': f'Неизвестное действие: {action}', 'unknown': True}

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@ -144,9 +144,36 @@ class LocalLLMAdapter(BaseProviderAdapter):
messages = list(request.get("messages", []))
# Context Truncation Guard: safely bound prompt if context_window is known to prevent VRAM overflow
# Context Compression & Truncation Guard
context_window = self.get_context_window(profile, model, query_remote=False)
if context_window is not None and context_window > 0 and len(messages) > 1:
from antigravity_provider.router.settings_service import get_hub_settings
from antigravity_provider.router.local_supervisor import LocalSupervisor
from antigravity_provider.router.router_config import load_router_config
hub_settings = get_hub_settings()
threshold_pct = float(hub_settings.get("compression_threshold_percent", 75.0))
keep_recent = int(hub_settings.get("compression_keep_recent_messages", 3))
compressor_pid = hub_settings.get("compressor_profile_id")
compressor_pconfig = None
if compressor_pid:
try:
rcfg = load_router_config()
compressor_pconfig = rcfg.get_profile(compressor_pid)
except Exception:
pass
supervisor = LocalSupervisor(base_url=base_url)
messages, outcome = supervisor.compress_context_if_needed(
messages=messages,
target_context_limit=context_window,
compressor_profile=compressor_pconfig,
threshold_percent=threshold_pct,
keep_recent_messages=keep_recent,
)
# Secondary Safety Guard: if still exceeding token budget (e.g. huge single message or compressor disabled/failed)
max_tok = int(request.get("max_tokens", 0) or 0)
token_budget = context_window - max_tok - 64
if token_budget > 100:
@ -156,7 +183,7 @@ class LocalLLMAdapter(BaseProviderAdapter):
if _est_tok(messages) > token_budget:
logger.warning(
"Context truncation guard active for %s: prompt exceeds context window (%d). Truncating middle messages.",
"Context safety boundary active for %s: prompt exceeds token budget (%d). Truncating middle messages.",
profile.profile_id,
context_window,
)

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@ -0,0 +1,535 @@
"""Hermes Hub Context Compression Engine (Сжатие контекста).
Implements Task A56 requirements:
- P0-1: Configurable compressor role/profile (not hardcoded to port 8082), excluded from Hermes default routing chains.
- P0-2: Context-fill threshold (measured via /props and /tokenize, default 75%), fresh window preserved verbatim, no recursive double-compression.
- P0-3: Strict verbatim preservation of factual entities (file paths, ports, IPs, variable/function names, commit SHAs, version numbers, benchmark metrics) with 100% retention guarantee.
- P0-4: Transparent telemetry, history store for original uncompressed text, non-blocking graceful fallback if compressor is offline/unconfigured.
- P0-5: Shared memory persistence in /srv/projects/AI-Memory indexed by GGUF build metadata.
"""
from __future__ import annotations
import json
import logging
import os
import re
import time
import urllib.error
import urllib.request
from dataclasses import asdict, dataclass, field
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Dict, List, Optional, Set, Tuple
logger = logging.getLogger("hermes.router.compression")
SHARED_MEMORY_VAULT = Path("/srv/projects/AI-Memory")
COMPRESSION_MEMORY_FILE = SHARED_MEMORY_VAULT / "01_PROJECTS" / "hermes-hub" / "compression_memory.json"
COMPRESSED_BLOCK_START = "<!-- HERMES_CONTEXT_COMPRESSION_START -->"
COMPRESSED_BLOCK_END = "<!-- HERMES_CONTEXT_COMPRESSION_END -->"
@dataclass
class FactualEntities:
file_paths: List[str] = field(default_factory=list)
ip_addresses: List[str] = field(default_factory=list)
port_numbers: List[str] = field(default_factory=list)
commit_shas: List[str] = field(default_factory=list)
version_numbers: List[str] = field(default_factory=list)
identifiers: List[str] = field(default_factory=list)
metrics: List[str] = field(default_factory=list)
@property
def total_count(self) -> int:
return (
len(self.file_paths)
+ len(self.ip_addresses)
+ len(self.port_numbers)
+ len(self.commit_shas)
+ len(self.version_numbers)
+ len(self.identifiers)
+ len(self.metrics)
)
def all_unique_facts(self) -> Set[str]:
items: Set[str] = set()
items.update(self.file_paths)
items.update(self.ip_addresses)
items.update(self.port_numbers)
items.update(self.commit_shas)
items.update(self.version_numbers)
items.update(self.identifiers)
items.update(self.metrics)
return items
@dataclass
class CompressionOutcome:
status: str # "SUCCESS", "SKIPPED", "UNCONFIGURED", "ERROR"
status_message: str
tokens_before: int = 0
tokens_after: int = 0
compression_ratio: float = 1.0
saved_tokens: int = 0
duration_sec: float = 0.0
facts_total: int = 0
facts_retained: int = 0
retention_percent: float = 100.0
# Итог считается посимвольно, если токенизатор сервера недоступен.
tokens_after_is_estimate: bool = True
# Полнота, которую дала сама модель, до дописывания недостающих фактов.
model_retention_percent: float = 100.0
facts_added_by_safeguard: List[str] = field(default_factory=list)
retained_facts: List[str] = field(default_factory=list)
missing_facts: List[str] = field(default_factory=list)
model_name: str = ""
gguf_name: str = ""
endpoint: str = ""
timestamp: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
original_messages_snapshot: List[Dict[str, Any]] = field(default_factory=list)
def extract_factual_entities(text: str) -> FactualEntities:
"""Extract factual technical entities from text using strict regex patterns."""
if not text:
return FactualEntities()
# 1. Absolute and relative file paths (e.g. /srv/projects/Agent projects/..., ./src/..., benchmarks/foo.md)
path_pattern = re.compile(
r"(?:/[a-zA-Z0-9._ -]+)+/[a-zA-Z0-9._-]+\.[a-zA-Z0-9]+|(?:/[a-zA-Z0-9._-]+)+[a-zA-Z0-9._-]+\.[a-zA-Z0-9]+|(?:[a-zA-Z0-9._-]+/)+[a-zA-Z0-9._-]+\.[a-zA-Z0-9]+"
)
raw_paths = path_pattern.findall(text)
file_paths = sorted(set(p.strip() for p in raw_paths if p.strip()))
# 2. IP addresses (e.g. 192.168.1.81, 127.0.0.1)
ip_pattern = re.compile(r"\b(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\b")
ip_addresses = sorted(set(ip_pattern.findall(text)))
# 3. Ports (e.g. :8081, :8082, :8765, port 8081)
port_pattern = re.compile(r"(?::|\bport\s+)([0-9]{4,5})\b", re.IGNORECASE)
port_matches = port_pattern.findall(text)
port_numbers = sorted(set(f":{p}" if not p.startswith(":") else p for p in port_matches))
# 4. Commit SHAs and hex tokens (7-64 hex chars)
sha_pattern = re.compile(r"\b[0-9a-fA-F]{7,64}\b")
raw_shas = sha_pattern.findall(text)
# Filter out pure decimal numbers or common words
commit_shas = sorted(set(
s for s in raw_shas
if any(c in "abcdefABCDEF" for c in s) and 7 <= len(s) <= 64
))
# 5. Version numbers (e.g. v0.1.2, 0.1.1, v0.1.2-b2)
ver_pattern = re.compile(r"\bv?[0-9]+\.[0-9]+(?:\.[0-9]+)?(?:-[a-zA-Z0-9.]+)?\b")
version_numbers = sorted(set(v for v in ver_pattern.findall(text) if v not in ip_addresses))
# 6. Specific benchmark and hardware numbers (e.g. 107.4 tok/s, 30008 MiB, 229376 tokens, 224K, 64K)
metric_pattern = re.compile(r"\b[0-9]+(?:\.[0-9]+)?\s*(?:tok/s|t/s|MiB|GiB|MB|GB|tokens|tok|K|k)\b")
metrics = sorted(set(metric_pattern.findall(text)))
# 7. Key Python / System Identifiers
id_pattern = re.compile(r"\b(?:LocalSupervisor|DualCoderPipeline|ContextCompressor|Qwen3-Coder|Qwen3-4B|Phi-4|Granite|llama-server|systemd)\b")
identifiers = sorted(set(id_pattern.findall(text)))
return FactualEntities(
file_paths=file_paths,
ip_addresses=ip_addresses,
port_numbers=port_numbers,
commit_shas=commit_shas,
version_numbers=version_numbers,
identifiers=identifiers,
metrics=metrics,
)
def verify_facts_retention(summary: str, expected_facts: FactualEntities) -> Tuple[float, List[str], List[str]]:
"""Check how many expected facts are present verbatim in the summary."""
all_facts = expected_facts.all_unique_facts()
if not all_facts:
return 100.0, [], []
preserved: List[str] = []
missing: List[str] = []
for fact in all_facts:
# Check direct substring match
if fact in summary or (fact.startswith(":") and fact[1:] in summary):
preserved.append(fact)
else:
missing.append(fact)
retention_percent = (len(preserved) / len(all_facts)) * 100.0
return retention_percent, preserved, missing
class ContextCompressor:
"""Orchestrates high-fidelity LLM context compression."""
DEFAULT_THRESHOLD_PERCENT: float = 75.0
DEFAULT_KEEP_RECENT: int = 3
def __init__(
self,
memory_file: Optional[Path] = None,
):
self.memory_file = memory_file or COMPRESSION_MEMORY_FILE
self._history_snapshots: List[CompressionOutcome] = []
def get_compression_history(self, limit: int = 20) -> List[Dict[str, Any]]:
"""Return in-memory history of recent compressions."""
return [asdict(o) for o in reversed(self._history_snapshots[-limit:])]
def resolve_compressor_endpoint(
self,
profile_config: Optional[Any] = None,
custom_base_url: Optional[str] = None,
) -> Tuple[str, str, str]:
"""Resolve base_url, model_name, and auth token for compressor."""
if custom_base_url:
return custom_base_url.rstrip("/"), "default", ""
if profile_config is not None:
base_url = (
getattr(profile_config, "custom_base_url", None)
or (profile_config.auth_config.get("base_url") if hasattr(profile_config, "auth_config") and isinstance(profile_config.auth_config, dict) else None)
or os.environ.get("LOCAL_COMPRESSOR_BASE_URL")
or ""
)
model_name = profile_config.preferred_models[0] if getattr(profile_config, "preferred_models", None) else "default"
token = profile_config.auth_config.get("api_key") or profile_config.auth_config.get("token") if hasattr(profile_config, "auth_config") and isinstance(profile_config.auth_config, dict) else ""
return str(base_url).rstrip("/"), str(model_name), str(token or "")
# Порт 8082 сегодняшний, завтра другой: зашивать его нельзя. Нет
# адреса — значит компрессор не настроен, и это отдельное состояние,
# а не повод молча постучаться в 8082.
env_url = os.environ.get("LOCAL_COMPRESSOR_BASE_URL", "")
return env_url.rstrip("/"), "default", ""
def compress_messages_if_needed(
self,
messages: List[Dict[str, Any]],
target_context_limit: int,
current_token_count: int,
compressor_profile: Optional[Any] = None,
threshold_percent: float = DEFAULT_THRESHOLD_PERCENT,
keep_recent_messages: int = DEFAULT_KEEP_RECENT,
timeout_sec: float = 60.0,
) -> Tuple[List[Dict[str, Any]], CompressionOutcome]:
"""Compress conversation history if current_token_count exceeds threshold.
Preserves system prompt and last `keep_recent_messages` untouched.
Never nests compressed summaries recursively.
Guarantees 100% factual retention.
"""
# P0-1: If compressor profile is not configured
if not self.resolve_compressor_endpoint(compressor_profile)[0]:
outcome = CompressionOutcome(
status="UNCONFIGURED",
status_message=(
"Н/Д: модель для сжатия не выбрана"
if not compressor_profile
else "Н/Д: у выбранного профиля не задан адрес сервера"
),
tokens_before=current_token_count,
tokens_after=current_token_count,
compression_ratio=1.0,
)
return messages, outcome
# P0-2: When to compress — check threshold
threshold_tokens = int(target_context_limit * (threshold_percent / 100.0))
if current_token_count < threshold_tokens:
outcome = CompressionOutcome(
status="SKIPPED",
status_message=f"В пределах нормы ({current_token_count}/{threshold_tokens} токенов, {threshold_percent}%)",
tokens_before=current_token_count,
tokens_after=current_token_count,
compression_ratio=1.0,
)
return messages, outcome
# Not enough messages to compress (e.g. only system + 1 user prompt)
system_msg: List[Dict[str, Any]] = []
conversation: List[Dict[str, Any]] = list(messages)
if conversation and conversation[0].get("role") == "system":
system_msg = [conversation[0]]
conversation = conversation[1:]
if len(conversation) <= keep_recent_messages:
outcome = CompressionOutcome(
status="SKIPPED",
status_message=f"Слишком мало сообщений для разделения ({len(conversation)} <= {keep_recent_messages})",
tokens_before=current_token_count,
tokens_after=current_token_count,
compression_ratio=1.0,
)
return messages, outcome
# Partition into old history to compress and fresh window to keep verbatim
old_history = conversation[:-keep_recent_messages]
fresh_window = conversation[-keep_recent_messages:]
# P0-2 & P0-3: Extract existing summary block if present to prevent recursive double compression
extracted_facts: List[FactualEntities] = []
text_segments_to_compress: List[str] = []
for msg in old_history:
content = str(msg.get("content", ""))
# Extract facts before stripping tags
extracted_facts.append(extract_factual_entities(content))
if COMPRESSED_BLOCK_START in content and COMPRESSED_BLOCK_END in content:
# Extract the inner text of previously compressed context
match = re.search(
rf"{re.escape(COMPRESSED_BLOCK_START)}\s*(.*?)\s*{re.escape(COMPRESSED_BLOCK_END)}",
content,
re.DOTALL,
)
if match:
prev_summary = match.group(1).strip()
text_segments_to_compress.append(f"[РАНЕЕ СОХРАНЁННЫЙ КОНТЕКСТ]:\n{prev_summary}")
else:
text_segments_to_compress.append(content)
else:
role_label = msg.get("role", "user").upper()
text_segments_to_compress.append(f"[{role_label}]:\n{content}")
combined_history_text = "\n\n".join(text_segments_to_compress)
# Merge all expected facts
all_expected_facts = FactualEntities()
for ef in extracted_facts:
all_expected_facts.file_paths.extend(ef.file_paths)
all_expected_facts.ip_addresses.extend(ef.ip_addresses)
all_expected_facts.port_numbers.extend(ef.port_numbers)
all_expected_facts.commit_shas.extend(ef.commit_shas)
all_expected_facts.version_numbers.extend(ef.version_numbers)
all_expected_facts.identifiers.extend(ef.identifiers)
all_expected_facts.metrics.extend(ef.metrics)
all_expected_facts.file_paths = sorted(set(all_expected_facts.file_paths))
all_expected_facts.ip_addresses = sorted(set(all_expected_facts.ip_addresses))
all_expected_facts.port_numbers = sorted(set(all_expected_facts.port_numbers))
all_expected_facts.commit_shas = sorted(set(all_expected_facts.commit_shas))
all_expected_facts.version_numbers = sorted(set(all_expected_facts.version_numbers))
all_expected_facts.identifiers = sorted(set(all_expected_facts.identifiers))
all_expected_facts.metrics = sorted(set(all_expected_facts.metrics))
# P0-4: Execute compression against the resolved compressor model
base_url, model_name, token = self.resolve_compressor_endpoint(compressor_profile)
api_url = f"{base_url}/chat/completions" if not base_url.endswith("/chat/completions") else base_url
system_instruction = (
"You are a precise technical context compression engine.\n"
"Summarize the technical history concisely into clear structured bullet points.\n"
"CRITICAL REQUIREMENT: Strictly preserve ALL factual entities VERBATIM:\n"
"- Exact file paths and directory names (e.g. /path/to/file.py)\n"
"- IP addresses and hostnames (e.g. 192.168.1.81)\n"
"- Port numbers (e.g. :8081, :8082, :8765)\n"
"- Commit SHAs and cryptographic hashes (e.g. 26f7d2c, 8e75dc6)\n"
"- Version numbers (e.g. v0.1.2)\n"
"- Exact benchmark metrics and quantities (e.g. 107.4 tok/s, 30008 MiB, 224K)\n"
"Never generalize, invent, or omit technical identifiers."
)
compression_request_payload = {
"model": model_name or "default",
"messages": [
{"role": "system", "content": system_instruction},
{
"role": "user",
"content": f"Please summarize the following execution history while retaining 100% of technical facts:\n\n{combined_history_text}",
},
],
"temperature": 0.1,
"max_tokens": 1024,
}
t0 = time.time()
try:
req_headers = {"Content-Type": "application/json", "User-Agent": "Hermes-ContextCompressor/1.0"}
if token:
req_headers["Authorization"] = f"Bearer {token}"
req_data = json.dumps(compression_request_payload).encode("utf-8")
req = urllib.request.Request(api_url, data=req_data, headers=req_headers, method="POST")
with urllib.request.urlopen(req, timeout=timeout_sec) as resp:
resp_data = json.loads(resp.read().decode("utf-8"))
elapsed = time.time() - t0
choices = resp_data.get("choices", [])
if not choices:
raise RuntimeError("Compressor returned empty choices")
raw_summary = choices[0].get("message", {}).get("content", "").strip()
if not raw_summary:
raise RuntimeError("Compressor returned empty content")
# Extract model GGUF build metadata if available
gguf_model = str(resp_data.get("model", model_name or "compressor"))
# P0-3: Verify facts retention
retention_rate, preserved, missing = verify_facts_retention(raw_summary, all_expected_facts)
# Полнота, которую дала САМА модель. Её нельзя терять: ниже
# недостающие факты дописываются списком, и после этого проверка
# покажет сто процентов. Замер на сервере владельца дал 97,4% —
# один факт из тридцати восьми модель потеряла. Показывая только
# исправленное число, мы скрыли бы от владельца, что модель
# теряет факты, и он не заметил бы, когда станет хуже.
model_retention_rate = retention_rate
model_missing = list(missing)
# P0-3 Safeguard: If any critical technical entities were omitted by model, append explicit factual ledger
if missing:
logger.info("Context compressor missed %d facts. Appending verbatim factual safeguard ledger.", len(missing))
facts_ledger = "\n### Ключевые сохранённые факты:\n" + "\n".join(f"- `{f}`" for f in missing)
final_summary = f"{raw_summary}\n{facts_ledger}"
retention_rate, preserved, missing = verify_facts_retention(final_summary, all_expected_facts)
else:
final_summary = raw_summary
# Format the compressed block with clear delimiter
formatted_compressed_content = (
f"{COMPRESSED_BLOCK_START}\n"
f"## Сжатая сводка предшествующего контекста\n"
f"{final_summary}\n"
f"{COMPRESSED_BLOCK_END}"
)
compressed_message = {
"role": "user",
"content": formatted_compressed_content,
}
new_messages = system_msg + [compressed_message] + fresh_window
# Approximate/count new tokens
est_before = current_token_count
est_summary_tokens = max(1, int(len(formatted_compressed_content) / 3.5))
est_fresh_tokens = sum(max(1, int(len(str(m.get("content", ""))) / 3.5)) for m in fresh_window)
est_system_tokens = sum(max(1, int(len(str(m.get("content", ""))) / 3.5)) for m in system_msg)
est_after = est_system_tokens + est_summary_tokens + est_fresh_tokens
ratio = round(est_after / max(1, est_before), 2)
saved = max(0, est_before - est_after)
outcome = CompressionOutcome(
status="SUCCESS",
status_message=(
f"Контекст сжат: {est_before}{est_after} токенов "
f"({ratio}x, экономия {saved}) за {elapsed:.2f}с. "
f"Фактов сохранено: {len(preserved)}/{all_expected_facts.total_count} "
f"({retention_rate:.1f}%)"
+ (
f"; {len(model_missing)} из них дописано списком, "
f"сама модель сохранила {model_retention_rate:.1f}%."
if model_missing
else ", все — самой моделью."
)
),
tokens_before=est_before,
tokens_after=est_after,
compression_ratio=ratio,
saved_tokens=saved,
duration_sec=round(elapsed, 2),
facts_total=all_expected_facts.total_count,
facts_retained=len(preserved),
retention_percent=retention_rate,
model_retention_percent=model_retention_rate,
facts_added_by_safeguard=model_missing,
retained_facts=preserved,
missing_facts=missing,
model_name=model_name,
gguf_name=gguf_model,
endpoint=base_url,
original_messages_snapshot=messages,
)
# Store in in-memory snapshot history
self._history_snapshots.append(outcome)
# P0-5: Record to AI-Memory
self._record_to_shared_memory(outcome)
logger.info(
"Context compression successful: %d -> %d tokens (%.2fx) in %.2fs. Model: %s",
est_before,
est_after,
ratio,
elapsed,
gguf_model,
)
return new_messages, outcome
except Exception as err:
elapsed = time.time() - t0
logger.warning("Context compression failed (%s). Continuing with uncompressed context: %s", base_url, err)
# P0-4: Failure does NOT crash task. Proceed with original uncompressed messages
outcome = CompressionOutcome(
status="ERROR",
status_message=f"Ошибка сжатия ({err}). Задача продолжается на исходном контексте.",
tokens_before=current_token_count,
tokens_after=current_token_count,
compression_ratio=1.0,
duration_sec=round(elapsed, 2),
model_name=model_name,
endpoint=base_url,
original_messages_snapshot=messages,
)
self._history_snapshots.append(outcome)
return messages, outcome
def _record_to_shared_memory(self, outcome: CompressionOutcome) -> None:
"""Persist compression history in /srv/projects/AI-Memory indexed by GGUF model."""
try:
self.memory_file.parent.mkdir(parents=True, exist_ok=True)
existing_data: Dict[str, Any] = {}
if self.memory_file.exists():
try:
existing_data = json.loads(self.memory_file.read_text(encoding="utf-8"))
except Exception:
existing_data = {}
models_map = existing_data.setdefault("compressor_models", {})
model_key = Path(outcome.gguf_name).name if outcome.gguf_name else "default_compressor"
rec = models_map.setdefault(model_key, {
"gguf_name": outcome.gguf_name,
"total_compressions": 0,
"successful_compressions": 0,
"avg_compression_ratio": 1.0,
"avg_duration_sec": 0.0,
"avg_fact_retention_percent": 100.0,
"last_used": "",
"history": [],
})
rec["total_compressions"] += 1
if outcome.status == "SUCCESS":
rec["successful_compressions"] += 1
n = rec["successful_compressions"]
rec["avg_compression_ratio"] = round(((rec["avg_compression_ratio"] * (n - 1)) + outcome.compression_ratio) / n, 3)
rec["avg_duration_sec"] = round(((rec["avg_duration_sec"] * (n - 1)) + outcome.duration_sec) / n, 2)
rec["avg_fact_retention_percent"] = round(((rec["avg_fact_retention_percent"] * (n - 1)) + outcome.retention_percent) / n, 1)
rec["last_used"] = outcome.timestamp
rec["history"].append({
"timestamp": outcome.timestamp,
"tokens_before": outcome.tokens_before,
"tokens_after": outcome.tokens_after,
"ratio": outcome.compression_ratio,
"duration_sec": outcome.duration_sec,
"retention_percent": outcome.retention_percent,
"facts_total": outcome.facts_total,
"status": outcome.status,
})
# Keep history limited to last 50 entries
rec["history"] = rec["history"][-50:]
self.memory_file.write_text(json.dumps(existing_data, indent=2, ensure_ascii=False), encoding="utf-8")
except Exception as exc:
logger.debug("Failed to record compression memory to %s: %s", self.memory_file, exc)

View file

@ -22,6 +22,15 @@ from enum import Enum
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
from .context_compressor import (
COMPRESSION_MEMORY_FILE,
CompressionOutcome,
ContextCompressor,
FactualEntities,
extract_factual_entities,
verify_facts_retention,
)
logger = logging.getLogger(__name__)
SHARED_MEMORY_VAULT = Path("/srv/projects/AI-Memory")
@ -74,6 +83,10 @@ class ModelMemoryRecord:
history: List[Dict[str, Any]] = field(default_factory=list)
# Разделитель между сообщениями при подсчёте объёма контекста.
MESSAGE_SEPARATOR = "\n\n"
class LocalSupervisor:
"""Oversees and regulates work dispatch to local models."""
@ -85,16 +98,24 @@ class LocalSupervisor:
self,
base_url: str = "http://127.0.0.1:8081",
memory_path: Optional[Path] = None,
compressor: Optional[ContextCompressor] = None,
):
self.base_url = base_url.rstrip("/")
# /props и /tokenize у llama.cpp живут в КОРНЕ, а не под /v1. Проверено
# на сервере владельца: /props → 200, /v1/props → 404; то же с
# /tokenize. Адаптер передаёт сюда адрес вида .../v1, поэтому без
# нормализации оба запроса получали 404, счёт токенов молча падал на
# посимвольную оценку, и порог сжатия считался от выдуманного числа.
self.root_url = self.base_url[:-3].rstrip("/") if self.base_url.endswith("/v1") else self.base_url
self.memory_path = memory_path or LOCAL_MEMORY_FILE
self.compressor = compressor or ContextCompressor()
# -------------------------------------------------------------
# P0-5: Measured limits via /props and /tokenize
# -------------------------------------------------------------
def query_server_props(self, timeout_sec: float = 3.0) -> ServerPropsResult:
"""Query real model properties and context limits from live server."""
props_url = f"{self.base_url}/props"
props_url = f"{self.root_url}/props"
try:
req = urllib.request.Request(props_url, headers={"User-Agent": "Hermes-LocalSupervisor/1.0"})
with urllib.request.urlopen(req, timeout=timeout_sec) as resp:
@ -128,7 +149,7 @@ class LocalSupervisor:
if not text:
return TokenCountResult(tokens_count=0, is_estimated=False, method="exact_empty")
tok_url = f"{self.base_url}/tokenize"
tok_url = f"{self.root_url}/tokenize"
try:
payload = json.dumps({"content": text}).encode("utf-8")
req = urllib.request.Request(
@ -395,3 +416,99 @@ class LocalSupervisor:
clean = Path(name).stem
clean = clean.replace(".gguf", "").replace("-Q4_K_M", "").replace("-Instruct", "").strip()
return clean or "local-model"
# -------------------------------------------------------------
# P0-1, P0-2, P0-3, P0-4, P0-5: Context Compression Integration
# -------------------------------------------------------------
def compress_context_if_needed(
self,
messages: List[Dict[str, Any]],
target_context_limit: int,
compressor_profile: Optional[Any] = None,
threshold_percent: float = 75.0,
keep_recent_messages: int = 3,
timeout_sec: float = 60.0,
) -> Tuple[List[Dict[str, Any]], CompressionOutcome]:
"""Compress old context via ContextCompressor if measured tokens exceed threshold."""
full_text = "\n\n".join(str(m.get("content", "")) for m in messages if isinstance(m, dict))
current_token_count = self.count_tokens(full_text).tokens_count
new_messages, outcome = self.compressor.compress_messages_if_needed(
messages=messages,
target_context_limit=target_context_limit,
current_token_count=current_token_count,
compressor_profile=compressor_profile,
threshold_percent=threshold_percent,
keep_recent_messages=keep_recent_messages,
timeout_sec=timeout_sec,
)
# Сжиматель считает итог посимвольно (длина / 3.5): доступа к серверу у
# него нет. Здесь он есть, и степень сжатия — величина, которую владелец
# читает как измеренную. Пересчитываем настоящим токенизатором, а если
# он недоступен, честно помечаем оценкой.
if outcome.status == "SUCCESS":
new_text = MESSAGE_SEPARATOR.join(
str(m.get("content", "")) for m in new_messages if isinstance(m, dict)
)
counted = self.count_tokens(new_text)
outcome.tokens_after = counted.tokens_count
outcome.tokens_after_is_estimate = counted.is_estimated
outcome.saved_tokens = max(0, outcome.tokens_before - counted.tokens_count)
outcome.compression_ratio = round(
counted.tokens_count / max(1, outcome.tokens_before), 2
)
return new_messages, outcome
def get_compression_status(self, compressor_profile: Optional[Any] = None) -> Dict[str, Any]:
"""Return real-time diagnostic status of context compressor."""
if not compressor_profile and not os.environ.get("LOCAL_COMPRESSOR_BASE_URL"):
return {
"configured": False,
"status": "unconfigured",
"display_status": "Н/Д: модель для сжатия не выбрана",
"profile_id": None,
"endpoint": None,
"model": None,
"history_count": len(self.compressor._history_snapshots),
"total_saved_tokens": sum(h.saved_tokens for h in self.compressor._history_snapshots if h.status == "SUCCESS"),
}
base_url, model_name, _ = self.compressor.resolve_compressor_endpoint(compressor_profile)
# Check health of compressor endpoint
is_healthy = False
n_ctx = 32768
props_url = f"{base_url}/props"
if props_url.endswith("/v1/props"):
props_url = props_url.replace("/v1/props", "/props")
try:
req = urllib.request.Request(props_url, headers={"User-Agent": "Hermes-CompressorCheck/1.0"})
with urllib.request.urlopen(req, timeout=2.0) as resp:
data = json.loads(resp.read().decode("utf-8"))
gen_settings = data.get("default_generation_settings", {})
n_ctx = int(gen_settings.get("n_ctx") or data.get("n_ctx") or 32768)
is_healthy = True
except Exception:
is_healthy = False
recent = self.compressor.get_compression_history(limit=5)
return {
"configured": True,
"status": "ready" if is_healthy else "offline",
"display_status": (
f"🟢 Готов: {model_name} ({base_url}) | Контекст: {n_ctx}"
if is_healthy
else f"⚠️ Недоступен: {base_url} (сжатие пропускается, задачи не прерываются)"
),
"profile_id": getattr(compressor_profile, "profile_id", None) or "local-compressor",
"endpoint": base_url,
"model": model_name,
"n_ctx": n_ctx,
"is_healthy": is_healthy,
"history_count": len(self.compressor._history_snapshots),
"total_saved_tokens": sum(h.saved_tokens for h in self.compressor._history_snapshots if h.status == "SUCCESS"),
"recent_compressions": recent,
}

View file

@ -32,6 +32,10 @@ DEFAULT_SETTINGS: Dict[str, Any] = {
"email_masking_mode": "none",
"default_role": "manager",
"obsidian_vault_path": "/srv/projects/AI-Memory",
"compressor_profile_id": None,
"compression_threshold_percent": 75.0,
"compression_keep_recent_messages": 3,
"compression_enabled": True,
}
@ -124,6 +128,24 @@ def get_hub_settings() -> Dict[str, Any]:
vault_path = str(merged.get("obsidian_vault_path", "/srv/projects/AI-Memory")).strip()
merged["obsidian_vault_path"] = vault_path
compressor_pid = merged.get("compressor_profile_id")
if compressor_pid is not None and str(compressor_pid).strip() and str(compressor_pid).strip() != "none":
merged["compressor_profile_id"] = str(compressor_pid).strip()
else:
merged["compressor_profile_id"] = None
try:
merged["compression_threshold_percent"] = max(10.0, min(95.0, float(merged.get("compression_threshold_percent", 75.0))))
except (ValueError, TypeError):
merged["compression_threshold_percent"] = 75.0
try:
merged["compression_keep_recent_messages"] = max(1, min(20, int(merged.get("compression_keep_recent_messages", 3))))
except (ValueError, TypeError):
merged["compression_keep_recent_messages"] = 3
merged["compression_enabled"] = bool(merged.get("compression_enabled", True))
_SETTINGS_CACHE = dict(merged)
_SETTINGS_CACHE_MTIME = current_mtime
_SETTINGS_CACHE_PATH = sfile_str

View file

@ -386,6 +386,85 @@ async def diagnose_skill_endpoint(request: Request, authorized: bool = Depends(g
raise HTTPException(status_code=400, detail=str(exc))
@app.get("/api/compression/status")
def get_compression_status_endpoint(authorized: bool = Depends(get_auth_token)):
"""Return real-time diagnostic status of context compressor."""
from antigravity_provider.router.settings_service import get_hub_settings
from antigravity_provider.router.local_supervisor import LocalSupervisor
hub_settings = get_hub_settings()
c_pid = hub_settings.get("compressor_profile_id")
c_pcfg = None
if c_pid:
try:
c_pcfg = load_router_config().get_profile(c_pid)
except Exception:
pass
supervisor = LocalSupervisor()
status_data = supervisor.get_compression_status(c_pcfg)
status_data["threshold_percent"] = hub_settings.get("compression_threshold_percent", 75.0)
status_data["keep_recent_messages"] = hub_settings.get("compression_keep_recent_messages", 3)
status_data["compression_enabled"] = hub_settings.get("compression_enabled", True)
return JSONResponse(content=jsonable_encoder(status_data))
@app.get("/api/compression/history")
def get_compression_history_endpoint(limit: int = 20, authorized: bool = Depends(get_auth_token)):
"""Return historical record of recent context compressions."""
from antigravity_provider.router.context_compressor import ContextCompressor
history = ContextCompressor().get_compression_history(limit=limit)
return JSONResponse(content=jsonable_encoder({"history": history}))
@app.post("/api/compression/test")
async def test_compression_endpoint(request: Request, authorized: bool = Depends(get_auth_token)):
"""Execute test context compression on synthetic benchmark prompt."""
from antigravity_provider.router.settings_service import get_hub_settings
from antigravity_provider.router.local_supervisor import LocalSupervisor
from dataclasses import asdict
try:
data = await request.json()
except Exception:
data = {}
hub_settings = get_hub_settings()
c_pid = data.get("profile_id") or hub_settings.get("compressor_profile_id")
c_pcfg = None
if c_pid and c_pid != "none":
try:
c_pcfg = load_router_config().get_profile(c_pid)
except Exception:
pass
test_messages = [
{"role": "system", "content": "You are a software engineer."},
{"role": "user", "content": "Hermes Hub server runs on 192.168.1.81:8765. The primary coder is on port 8081 with 224K context (229376 tokens), generating at 107.4 tok/s. VRAM usage: 30008 MiB. Active branch: antigravity/a56-context-compression, Commit SHA: 26f7d2c, version v0.1.2. Local compressor is on port 8082."},
{"role": "assistant", "content": "Acknowledged. All server metrics and ports are noted."},
{"role": "user", "content": "Now run preflight diagnostics for LocalSupervisor and ContextCompressor in src/antigravity_provider/router/local_supervisor.py."},
{"role": "assistant", "content": "Diagnostics completed successfully. Memory vault is at /srv/projects/AI-Memory."},
{"role": "user", "content": "What is our current task?"},
]
supervisor = LocalSupervisor()
new_msgs, outcome = supervisor.compress_context_if_needed(
messages=test_messages,
target_context_limit=32768,
compressor_profile=c_pcfg,
threshold_percent=0.0, # force compression
keep_recent_messages=2,
)
return JSONResponse(content=jsonable_encoder({
"ok": outcome.status == "SUCCESS",
"message": outcome.status_message,
"data": {
"outcome": asdict(outcome) if hasattr(outcome, "__dataclass_fields__") else outcome.__dict__,
"messages_before_count": len(test_messages),
"messages_after_count": len(new_msgs),
}
}))
@app.get("/api/settings")
def get_settings(authorized: bool = Depends(get_auth_token)):
"""Return current server and hub settings without exposing raw auth tokens."""

View file

@ -1778,6 +1778,38 @@ function renderSettingsView() {
if (vaultPathInput) {
vaultPathInput.value = s.obsidian_vault_path || '/srv/projects/AI-Memory';
}
// Context Compression Settings (A56)
populateCompressorProfiles(s);
const compThresholdSel = document.getElementById('setting-compression-threshold-percent');
if (compThresholdSel && s.compression_threshold_percent !== undefined) {
compThresholdSel.value = String(Math.round(s.compression_threshold_percent));
}
const compKeepRecentSel = document.getElementById('setting-compression-keep-recent');
if (compKeepRecentSel && s.compression_keep_recent_messages !== undefined) {
compKeepRecentSel.value = String(s.compression_keep_recent_messages);
}
checkCompressionStatus();
}
function populateCompressorProfiles(s) {
const compProfileSel = document.getElementById('setting-compressor-profile');
if (!compProfileSel) return;
const currentVal = (s && s.compressor_profile_id) || compProfileSel.value || 'none';
const profiles = (currentSnapshot && (currentSnapshot.all_profiles || currentSnapshot.profiles)) || {};
let optionsHtml = '<option value="none">Н/Д: модель для сжатия не выбрана (отключено)</option>';
for (const [pid, p] of Object.entries(profiles)) {
const prov = p.provider || 'unknown';
const name = p.display_name || pid;
const model = (p.preferred_models && p.preferred_models[0]) || '';
const endpoint = p.custom_base_url || (p.auth_config && p.auth_config.base_url) || '';
const label = `${name} [${prov}]${model ? ' — ' + model : ''}${endpoint ? ' (' + endpoint + ')' : ''}`;
optionsHtml += `<option value="${escapeHtml(pid)}">${escapeHtml(label)}</option>`;
}
compProfileSel.innerHTML = optionsHtml;
if (currentVal) compProfileSel.value = currentVal;
}
async function saveHubServerSettings() {
@ -1790,6 +1822,9 @@ async function saveHubServerSettings() {
const quotaIntervalSel = document.getElementById('setting-quota-interval');
const monitorIntervalInput = document.getElementById('setting-monitoring-interval');
const vaultPathInput = document.getElementById('setting-obsidian-vault-path');
const compProfileSel = document.getElementById('setting-compressor-profile');
const compThresholdSel = document.getElementById('setting-compression-threshold-percent');
const compKeepRecentSel = document.getElementById('setting-compression-keep-recent');
const accountIntervalInput = document.getElementById('setting-account-check-interval');
const defaultRoleSel = document.getElementById('setting-default-role');
const themeSel = document.getElementById('setting-theme');
@ -1805,6 +1840,9 @@ async function saveHubServerSettings() {
if (emailMaskingSel && emailMaskingSel.value) newSettings.email_masking_mode = emailMaskingSel.value;
if (monitorIntervalInput && monitorIntervalInput.value) newSettings.monitoring_interval_seconds = Number(monitorIntervalInput.value);
if (vaultPathInput && vaultPathInput.value.trim()) newSettings.obsidian_vault_path = vaultPathInput.value.trim();
if (compProfileSel) newSettings.compressor_profile_id = (compProfileSel.value === 'none' || !compProfileSel.value) ? null : compProfileSel.value;
if (compThresholdSel && compThresholdSel.value) newSettings.compression_threshold_percent = Number(compThresholdSel.value);
if (compKeepRecentSel && compKeepRecentSel.value) newSettings.compression_keep_recent_messages = Number(compKeepRecentSel.value);
if (defaultRoleSel && defaultRoleSel.value) newSettings.default_role = defaultRoleSel.value;
if (themeSel && themeSel.value) newSettings.theme = themeSel.value;
@ -4331,3 +4369,75 @@ async function handleClearAccounts() {
showToast(result?.message || 'Нет ответа от сервера', result?.ok ? 'success' : 'error');
await fetchSnapshot();
}
// ═══════════════════════════════════════════════════════════════
// CONTEXT COMPRESSION UI (A56)
// ═══════════════════════════════════════════════════════════════
async function checkCompressionStatus() {
const badge = document.getElementById('compression-status-badge');
const details = document.getElementById('compression-details-box');
const res = await executeAction('get_compression_status', {});
if (res && res.ok && res.data) {
const d = res.data;
if (badge) {
if (!d.configured || d.status === 'unconfigured') {
badge.textContent = 'Н/Д: модель для сжатия не выбрана';
badge.className = 'badge';
} else if (d.status === 'ready') {
badge.textContent = `🟢 Готов: ${d.model || d.profile_id} (порог ${d.threshold_percent}%)`;
badge.className = 'badge healthy';
} else {
badge.textContent = `⚠️ Недоступен: ${d.endpoint || d.profile_id}`;
badge.className = 'badge warning';
}
}
if (details) {
if (!d.configured || d.status === 'unconfigured') {
details.innerHTML = 'Сжатие отключено. Выберите профиль модели для сжатия контекста в настройках.';
} else {
const stats = `Эндпоинт: ${d.endpoint}\nМодель: ${d.model}\nИзмеренный контекст: ${d.n_ctx} токенов\nПорог запуска: ${d.threshold_percent}%\nСвежих сообщений без сжатия: ${d.keep_recent_messages}\nСжатий выполнено: ${d.history_count} (Сэкономлено токенов: ${d.total_saved_tokens})`;
details.textContent = stats;
}
}
}
}
async function testCompression() {
const details = document.getElementById('compression-details-box');
const btn = document.getElementById('btn-test-compression');
if (btn) btn.disabled = true;
if (details) details.textContent = '⏳ Выполняется тестовое сжатие контекста на сервере...';
try {
const sel = document.getElementById('setting-compressor-profile');
const profileId = sel ? sel.value : null;
const res = await executeAction('test_compression', { profile_id: profileId });
if (res && res.ok && res.data) {
const outcome = res.data.outcome || {};
const factsRetained = outcome.facts_retained || 0;
const factsTotal = outcome.facts_total || 0;
const pct = outcome.retention_percent || 100;
const text = `${res.message}\n` +
`├─ Токены: ${outcome.tokens_before}${outcome.tokens_after} (${outcome.compression_ratio}x, экономия ${outcome.saved_tokens} токенов)\n` +
`├─ Время выполнения: ${outcome.duration_sec}с\n` +
`├─ Удержание фактов: ${factsRetained}/${factsTotal} (${pct}%)\n` +
`└─ Сохранённые факты:\n${(outcome.retained_facts || []).map(f => ' • ' + f).join('\n')}`;
if (details) details.textContent = text;
showToast('Тест сжатия успешно выполнен: 100% фактов сохранено', 'success');
await checkCompressionStatus();
} else {
if (details) details.textContent = `❌ Ошибка: ${(res && res.message) || 'Не удалось выполнить тестовое сжатие'}`;
showToast((res && res.message) || 'Ошибка тестирования сжатия', 'error');
}
} catch (err) {
if (details) details.textContent = `❌ Исключение: ${err.message || String(err)}`;
showToast('Ошибка при вызове теста сжатия', 'error');
} finally {
if (btn) btn.disabled = false;
}
}
// Attach event listeners for compression buttons
document.getElementById('btn-check-compression-status')?.addEventListener('click', checkCompressionStatus);
document.getElementById('btn-test-compression')?.addEventListener('click', testCompression);

View file

@ -594,6 +594,70 @@
<div id="obsidian-vault-details" style="font-size:12px; color:var(--text-muted); margin-top:8px; font-family:var(--font-mono);"></div>
</div>
<!-- Context Compression Settings (A56) -->
<div class="settings-card" style="margin-top:16px;" id="settings-compression-card">
<div class="section-card-header" style="display:flex; justify-content:space-between; align-items:center; margin-bottom:12px;">
<div>
<h2 class="settings-group-title" style="margin:0;">Сжатие контекста (Context Compression)</h2>
<div class="setting-desc">Автоматическое сжатие длинного контекста с сохранением 100% технических фактов и сущностей</div>
</div>
<span id="compression-status-badge" class="badge">Н/Д: модель для сжатия не выбрана</span>
</div>
<div class="setting-row">
<div class="setting-info">
<div class="setting-label">Профиль модели для сжатия</div>
<div class="setting-desc">Служебная модель-компрессор (например, Qwen3-4B на порту 8082). Не участвует в маршрутизации Hermes.</div>
</div>
<div class="setting-control">
<select id="setting-compressor-profile" class="select-filter">
<option value="none">Н/Д: модель для сжатия не выбрана (отключено)</option>
</select>
</div>
</div>
<div class="setting-row">
<div class="setting-info">
<div class="setting-label">Порог заполнения контекста для запуска сжатия</div>
<div class="setting-desc">Сжатие начинается при превышении процента от измеренного контекста модели (/props)</div>
</div>
<div class="setting-control">
<select id="setting-compression-threshold-percent" class="select-filter">
<option value="50">50% контекста (агрессивное сжатие)</option>
<option value="60">60% контекста</option>
<option value="70">70% контекста</option>
<option value="75" selected>75% контекста (рекомендуется — около 3/4)</option>
<option value="80">80% контекста</option>
<option value="85">85% контекста</option>
<option value="90">90% контекста (позднее сжатие)</option>
</select>
</div>
</div>
<div class="setting-row">
<div class="setting-info">
<div class="setting-label">Количество свежих сообщений (Fresh Window)</div>
<div class="setting-desc">Последние сообщения, которые всегда остаются 100% дословными и не подлежат сжатию</div>
</div>
<div class="setting-control">
<select id="setting-compression-keep-recent" class="select-filter">
<option value="2">2 последних сообщения</option>
<option value="3" selected>3 последних сообщения (рекомендуется)</option>
<option value="4">4 последних сообщения</option>
<option value="5">5 последних сообщений</option>
</select>
</div>
</div>
<div class="setting-row">
<div class="setting-info">
<div class="setting-label">Диагностика и проверка сжатия</div>
<div class="setting-desc" id="compression-diagnostic-desc">Проверить отклик компрессора и 100% удержание путей, портов, IP и хэшей</div>
</div>
<div class="setting-control" style="display:flex; gap:8px;">
<button class="btn btn-secondary btn-sm" id="btn-check-compression-status">Статус компрессора</button>
<button class="btn btn-primary btn-sm" id="btn-test-compression">Тестовое сжатие (100% фактов)</button>
</div>
</div>
<div id="compression-details-box" style="font-size:12px; color:var(--text-muted); margin-top:8px; font-family:var(--font-mono); white-space:pre-wrap;"></div>
</div>
<!-- Hub Updates -->
<div class="settings-card" style="margin-top:16px;" id="settings-updates-card">
<h2 class="settings-group-title">Обновление Hermes Hub</h2>

View file

@ -0,0 +1,486 @@
"""Tests for Task A56: Context Compression (Сжатие контекста).
Verifies:
- P0-1: Compressor is a configurable role/profile, not hardcoded, excluded from Hermes default routing chains.
- P0-2: Context threshold triggering (default 75%), fresh window preserved verbatim, no recursive double compression.
- P0-3: Strict verbatim preservation of factual entities (file paths, ports, IPs, variable/function names, commit SHAs, versions, metrics) with 100% retention guarantee.
- P0-4: Transparent telemetry, history store for original uncompressed text, non-blocking graceful fallback when compressor is offline.
- P0-5: Shared memory persistence in /srv/projects/AI-Memory indexed by GGUF build metadata.
- P0-6: Audit pass testing on live server (if accessible) and mock offline fallback.
"""
from __future__ import annotations
import json
import os
import tempfile
import urllib.error
import urllib.request
from dataclasses import asdict
from pathlib import Path
from typing import Any, Dict, List
from unittest.mock import MagicMock, patch
import pytest
from fastapi.testclient import TestClient
from antigravity_provider.router.context_compressor import (
COMPRESSED_BLOCK_END,
COMPRESSED_BLOCK_START,
CompressionOutcome,
ContextCompressor,
FactualEntities,
extract_factual_entities,
verify_facts_retention,
)
from antigravity_provider.router.local_supervisor import (
LocalSupervisor,
ServerPropsResult,
TokenCountResult,
)
from antigravity_provider.router.router_config import RouterConfig, RouterProfileConfig
from antigravity_provider.router.settings_service import (
DEFAULT_SETTINGS,
get_hub_settings,
invalidate_settings_cache,
save_hub_settings,
)
from antigravity_provider.router.web.server import app
# ─────────────────────────────────────────────────────────────
# Fixtures
# ─────────────────────────────────────────────────────────────
@pytest.fixture
def tmp_vault(tmp_path: Path):
vault = tmp_path / "AI-Memory"
vault.mkdir(parents=True, exist_ok=True)
(vault / "01_PROJECTS" / "hermes-hub").mkdir(parents=True, exist_ok=True)
return vault
@pytest.fixture
def test_client():
return TestClient(app)
# ─────────────────────────────────────────────────────────────
# P0-1: Configurable role & profile
# ─────────────────────────────────────────────────────────────
def test_p0_1_compressor_unconfigured_returns_nd_status(tmp_vault: Path):
"""When compressor profile is not selected, returns unconfigured N/D without error."""
compressor = ContextCompressor(memory_file=tmp_vault / "01_PROJECTS" / "hermes-hub" / "compression_memory.json")
supervisor = LocalSupervisor(compressor=compressor)
# Status without profile
status = supervisor.get_compression_status(compressor_profile=None)
assert status["configured"] is False
assert status["status"] == "unconfigured"
assert "Н/Д: модель для сжатия не выбрана" in status["display_status"]
# Compression with unconfigured profile
messages = [
{"role": "system", "content": "System prompt"},
{"role": "user", "content": "Hello world" * 100},
]
with patch.dict(os.environ, {}, clear=True):
res_msgs, outcome = compressor.compress_messages_if_needed(
messages=messages,
target_context_limit=1000,
current_token_count=800,
compressor_profile=None,
)
assert outcome.status == "UNCONFIGURED"
assert "Н" in outcome.status_message
assert res_msgs == messages
def test_p0_1_compressor_endpoint_resolved_from_profile(tmp_vault: Path):
"""Compressor endpoint is dynamically resolved from profile config, not hardcoded."""
compressor = ContextCompressor(memory_file=tmp_vault / "01_PROJECTS" / "hermes-hub" / "compression_memory.json")
pconfig = RouterProfileConfig(
profile_id="local-compressor-custom",
provider="local",
custom_base_url="http://192.168.1.100:9999/v1",
preferred_models=["CustomCompressor-7B"],
auth_config={"api_key": "secret-token-123"},
)
base_url, model, token = compressor.resolve_compressor_endpoint(pconfig)
assert base_url == "http://192.168.1.100:9999/v1"
assert model == "CustomCompressor-7B"
assert token == "secret-token-123"
# ─────────────────────────────────────────────────────────────
# P0-2: Triggering conditions & threshold
# ─────────────────────────────────────────────────────────────
def test_p0_2_threshold_skips_when_under_limit(tmp_vault: Path):
"""When token count is below threshold percent (e.g. 50% < 75%), compression is skipped."""
compressor = ContextCompressor(memory_file=tmp_vault / "01_PROJECTS" / "hermes-hub" / "compression_memory.json")
pconfig = RouterProfileConfig(
profile_id="compressor-mock",
provider="local",
custom_base_url="http://127.0.0.1:8082/v1",
preferred_models=["Qwen3-4B-2507"],
)
messages = [
{"role": "system", "content": "System prompt"},
{"role": "user", "content": "Message 1"},
{"role": "assistant", "content": "Response 1"},
{"role": "user", "content": "Message 2"},
]
# Target 10,000, current 5,000 -> 50% < 75% threshold
res_msgs, outcome = compressor.compress_messages_if_needed(
messages=messages,
target_context_limit=10000,
current_token_count=5000,
compressor_profile=pconfig,
threshold_percent=75.0,
)
assert outcome.status == "SKIPPED"
assert "В пределах нормы" in outcome.status_message
assert res_msgs == messages
def test_p0_2_fresh_window_preserved_verbatim_and_no_double_nesting(tmp_vault: Path):
"""Fresh messages remain completely verbatim; existing summary blocks are unnested without recursion."""
compressor = ContextCompressor(memory_file=tmp_vault / "01_PROJECTS" / "hermes-hub" / "compression_memory.json")
pconfig = RouterProfileConfig(
profile_id="compressor-mock",
provider="local",
custom_base_url="http://127.0.0.1:8082/v1",
preferred_models=["Qwen3-4B-2507"],
)
# Existing summary block inside history
prev_summary = (
f"{COMPRESSED_BLOCK_START}\n"
f"## Сжатая сводка предшествующего контекста\n"
f"- Server running on 192.168.1.81:8765\n"
f"- Active port: :8081\n"
f"{COMPRESSED_BLOCK_END}"
)
messages = [
{"role": "system", "content": "You are a senior developer."},
{"role": "user", "content": prev_summary},
{"role": "user", "content": "Step 2: Created /srv/projects/hermes/test.py with SHA 8e75dc6."},
{"role": "assistant", "content": "Step 2 done."},
# Fresh window (last 2 messages)
{"role": "user", "content": "Fresh user request: run tests now."},
{"role": "assistant", "content": "Fresh assistant response."},
]
mock_llm_response = {
"choices": [{
"message": {
"role": "assistant",
"content": (
"- Server running on 192.168.1.81:8765\n"
"- Active port :8081\n"
"- Created /srv/projects/hermes/test.py with SHA 8e75dc6"
)
}
}],
"model": "Qwen3-4B-2507-Instruct-Q4_K_M.gguf",
}
mock_resp = MagicMock()
mock_resp.read.return_value = json.dumps(mock_llm_response).encode("utf-8")
mock_resp.__enter__.return_value = mock_resp
with patch("urllib.request.urlopen", return_value=mock_resp):
res_msgs, outcome = compressor.compress_messages_if_needed(
messages=messages,
target_context_limit=1000,
current_token_count=900,
compressor_profile=pconfig,
threshold_percent=75.0,
keep_recent_messages=2,
)
assert outcome.status == "SUCCESS"
assert outcome.retention_percent == 100.0
# System message preserved
assert res_msgs[0]["content"] == "You are a senior developer."
# Fresh window preserved verbatim
assert res_msgs[-2]["content"] == "Fresh user request: run tests now."
assert res_msgs[-1]["content"] == "Fresh assistant response."
# Only 1 single compression block, never nested
compressed_content = res_msgs[1]["content"]
assert compressed_content.count(COMPRESSED_BLOCK_START) == 1
assert compressed_content.count(COMPRESSED_BLOCK_END) == 1
# ─────────────────────────────────────────────────────────────
# P0-3: Strict Verbatim Preservation of Factual Entities
# ─────────────────────────────────────────────────────────────
def test_p0_3_extract_and_verify_all_factual_entities():
"""Extracts and verifies 100% of paths, ports, IPs, SHAs, versions, and metrics."""
text = (
"Server deployed on 192.168.1.81:8765. Primary coder is on port 8081 with 224K context (229376 tokens). "
"Measured generation speed: 107.4 tok/s, VRAM: 30008 MiB. Local compressor on port 8082 with 32768 context. "
"File: /srv/projects/Agent projects/hermes-hub/src/antigravity_provider/router/local_supervisor.py. "
"Commit SHA: 26f7d2c, version: v0.1.2. Classes: LocalSupervisor and ContextCompressor."
)
facts = extract_factual_entities(text)
assert "/srv/projects/Agent projects/hermes-hub/src/antigravity_provider/router/local_supervisor.py" in facts.file_paths
assert "192.168.1.81" in facts.ip_addresses
assert any(":8081" in p or "8081" in p for p in facts.port_numbers)
assert any(":8082" in p or "8082" in p for p in facts.port_numbers)
assert "26f7d2c" in facts.commit_shas
assert "v0.1.2" in facts.version_numbers
assert any("107.4" in m for m in facts.metrics)
assert any("30008" in m for m in facts.metrics)
assert "LocalSupervisor" in facts.identifiers
# Verify retention in exact summary
summary = (
"Summary:\n"
"- 192.168.1.81:8765\n"
"- port 8081, 224K, 229376 tokens, 107.4 tok/s, 30008 MiB\n"
"- port 8082, 32768 tokens\n"
"- /srv/projects/Agent projects/hermes-hub/src/antigravity_provider/router/local_supervisor.py\n"
"- SHA 26f7d2c, version v0.1.2\n"
"- LocalSupervisor, ContextCompressor"
)
retention, preserved, missing = verify_facts_retention(summary, facts)
assert retention >= 95.0
def test_p0_3_factual_safeguard_ledger_guarantees_100_percent_retention(tmp_vault: Path):
"""If LLM summary misses an entity, safeguard ledger automatically appends it to reach 100% retention."""
compressor = ContextCompressor(memory_file=tmp_vault / "01_PROJECTS" / "hermes-hub" / "compression_memory.json")
pconfig = RouterProfileConfig(
profile_id="compressor-mock",
provider="local",
custom_base_url="http://127.0.0.1:8082/v1",
preferred_models=["Qwen3-4B-2507"],
)
messages = [
{"role": "system", "content": "You are a coder."},
{"role": "user", "content": "Critical secret port is :8888 and critical commit is 79ac9cf5610dccf8."},
{"role": "assistant", "content": "Understood."},
{"role": "user", "content": "Recent question?"},
]
# Model generates a summary that forgot the port and commit
mock_llm_response = {
"choices": [{
"message": {
"role": "assistant",
"content": "User discussed server settings."
}
}],
"model": "Qwen3-4B-2507-Instruct-Q4_K_M.gguf",
}
mock_resp = MagicMock()
mock_resp.read.return_value = json.dumps(mock_llm_response).encode("utf-8")
mock_resp.__enter__.return_value = mock_resp
with patch("urllib.request.urlopen", return_value=mock_resp):
res_msgs, outcome = compressor.compress_messages_if_needed(
messages=messages,
target_context_limit=1000,
current_token_count=800,
compressor_profile=pconfig,
threshold_percent=50.0,
keep_recent_messages=1,
)
assert outcome.status == "SUCCESS"
assert outcome.retention_percent == 100.0
compressed_text = res_msgs[1]["content"]
assert ":8888" in compressed_text
assert "79ac9cf5610dccf8" in compressed_text
# ─────────────────────────────────────────────────────────────
# P0-4: Non-blocking graceful fallback & history snapshot
# ─────────────────────────────────────────────────────────────
def test_p0_4_compressor_offline_does_not_crash_task(tmp_vault: Path):
"""When compressor server is unreachable, task continues safely on uncompressed context."""
compressor = ContextCompressor(memory_file=tmp_vault / "01_PROJECTS" / "hermes-hub" / "compression_memory.json")
pconfig = RouterProfileConfig(
profile_id="compressor-offline",
provider="local",
custom_base_url="http://127.0.0.1:9999/v1", # dead port
preferred_models=["Qwen3-4B-2507"],
)
messages = [
{"role": "system", "content": "System message"},
{"role": "user", "content": "Original user text" * 20},
{"role": "assistant", "content": "Original assistant text" * 20},
{"role": "user", "content": "Latest user query"},
]
# Simulating connection error
with patch("urllib.request.urlopen", side_effect=urllib.error.URLError("Connection refused")):
res_msgs, outcome = compressor.compress_messages_if_needed(
messages=messages,
target_context_limit=100,
current_token_count=500,
compressor_profile=pconfig,
threshold_percent=50.0,
keep_recent_messages=1,
)
# Task is NOT aborted
assert outcome.status == "ERROR"
assert "Задача продолжается на исходном контексте" in outcome.status_message
assert res_msgs == messages
# Original messages preserved in history snapshot
assert outcome.original_messages_snapshot == messages
# ─────────────────────────────────────────────────────────────
# P0-5: Shared Memory Persistence in AI-Memory
# ─────────────────────────────────────────────────────────────
def test_p0_5_compression_memory_recorded_by_gguf_name(tmp_vault: Path):
"""Records compression history in /srv/projects/AI-Memory indexed by GGUF model."""
memory_file = tmp_vault / "01_PROJECTS" / "hermes-hub" / "compression_memory.json"
compressor = ContextCompressor(memory_file=memory_file)
pconfig = RouterProfileConfig(
profile_id="compressor-p1",
provider="local",
custom_base_url="http://127.0.0.1:8082/v1",
preferred_models=["Qwen3-4B-2507"],
)
messages = [
{"role": "system", "content": "Sys"},
{"role": "user", "content": "Server is 192.168.1.81:8081"},
{"role": "assistant", "content": "Ok"},
{"role": "user", "content": "Next"},
]
mock_llm_response = {
"choices": [{
"message": {
"role": "assistant",
"content": "- 192.168.1.81:8081 active"
}
}],
"model": "/srv/ai/models/qwen3-4b-compressor/Qwen_Qwen3-4B-Instruct-2507-Q4_K_M.gguf",
}
mock_resp = MagicMock()
mock_resp.read.return_value = json.dumps(mock_llm_response).encode("utf-8")
mock_resp.__enter__.return_value = mock_resp
with patch("urllib.request.urlopen", return_value=mock_resp):
_, outcome = compressor.compress_messages_if_needed(
messages=messages,
target_context_limit=100,
current_token_count=200,
compressor_profile=pconfig,
threshold_percent=50.0,
keep_recent_messages=1,
)
assert outcome.status == "SUCCESS"
assert memory_file.exists()
data = json.loads(memory_file.read_text(encoding="utf-8"))
assert "compressor_models" in data
gguf_key = "Qwen_Qwen3-4B-Instruct-2507-Q4_K_M.gguf"
assert gguf_key in data["compressor_models"]
rec = data["compressor_models"][gguf_key]
assert rec["successful_compressions"] == 1
assert rec["avg_fact_retention_percent"] == 100.0
assert len(rec["history"]) == 1
# ─────────────────────────────────────────────────────────────
# Web API & Action Handler Integration
# ─────────────────────────────────────────────────────────────
def test_web_api_compression_endpoints(test_client: TestClient):
"""Tests GET /api/compression/status, /api/compression/history, POST /api/compression/test."""
# 1. GET /api/compression/status
res = test_client.get("/api/compression/status")
assert res.status_code == 200
data = res.json()
assert "threshold_percent" in data
assert "display_status" in data
# 2. GET /api/compression/history
res_hist = test_client.get("/api/compression/history")
assert res_hist.status_code == 200
assert "history" in res_hist.json()
# 3. POST /api/compression/test
res_test = test_client.post("/api/compression/test", json={"profile_id": "none"})
assert res_test.status_code == 200
test_json = res_test.json()
assert "message" in test_json
assert "data" in test_json
# ─────────────────────────────────────────────────────────────
# P0-6: Live Server Verification (if 8082 is reachable)
# ─────────────────────────────────────────────────────────────
def test_p0_6_live_compressor_verification():
"""Live verification against local llama-server compressor on port 8082 if online."""
try:
req = urllib.request.Request("http://127.0.0.1:8082/health", headers={"User-Agent": "Test/1.0"})
with urllib.request.urlopen(req, timeout=3.0) as resp:
data = json.loads(resp.read().decode("utf-8"))
if data.get("status") != "ok":
pytest.skip("Local compressor server on 8082 not healthy")
except Exception as exc:
pytest.skip(f"Local compressor server on 8082 not reachable: {exc}")
compressor = ContextCompressor()
pconfig = RouterProfileConfig(
profile_id="live-compressor",
provider="local",
custom_base_url="http://127.0.0.1:8082/v1",
preferred_models=["default"],
)
test_messages = [
{"role": "system", "content": "You are a software engineer."},
{"role": "user", "content": "Hermes Hub server runs on 192.168.1.81:8765. Primary coder is on port 8081 with 224K context (229376 tokens), speed 107.4 tok/s, VRAM 30008 MiB. Active branch: antigravity/a56-context-compression, Commit SHA: 26f7d2c, version v0.1.2. Local compressor is on port 8082 on CPU."},
{"role": "assistant", "content": "Server metrics and ports registered."},
{"role": "user", "content": "File path is /srv/projects/Agent projects/hermes-hub/src/antigravity_provider/router/local_supervisor.py."},
{"role": "assistant", "content": "Path registered."},
{"role": "user", "content": "What is our next action?"},
]
res_msgs, outcome = compressor.compress_messages_if_needed(
messages=test_messages,
target_context_limit=32768,
current_token_count=150,
compressor_profile=pconfig,
threshold_percent=0.0, # force compression
keep_recent_messages=2,
)
assert outcome.status == "SUCCESS"
assert outcome.retention_percent == 100.0
assert outcome.saved_tokens >= 0
assert len(res_msgs) == 4 # system + compressed + 2 fresh
compressed_body = res_msgs[1]["content"]
assert "192.168.1.81" in compressed_body
assert "8081" in compressed_body
assert "8082" in compressed_body
assert "26f7d2c" in compressed_body
assert "v0.1.2" in compressed_body

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"""Проверки по итогам разбора A56 ревьюером.
Три находки, каждая подтверждена измерением на сервере владельца:
1. `/props` и `/tokenize` у llama.cpp живут в корне, а не под `/v1`.
Измерено: `/props` 200, `/v1/props` 404; то же с `/tokenize`.
Адаптер передаёт супервизору адрес вида `.../v1`, поэтому счёт токенов
молча падал на посимвольную оценку, и порог сжатия считался от выдуманного
числа.
2. Заявленные «100% сохранения фактов» модель не даёт. Измерено на живом
компрессоре: 5667 токенов на входе, 624 на выходе, 37 фактов из 38
97,4%, потерян `001cd1f`. Сто процентов получаются дописыванием
недостающих фактов списком. Механизм верный, но подменять им измеренное
число нельзя: иначе ухудшение модели останется незамеченным.
3. Порт 8082 был зашит в коде как запасной адрес. Задание это прямо
запрещает: сегодня он такой, завтра другой.
"""
from __future__ import annotations
from unittest.mock import patch
import pytest
from antigravity_provider.router.context_compressor import (
CompressionOutcome,
ContextCompressor,
)
from antigravity_provider.router.local_supervisor import LocalSupervisor
# ── Находка 1: адрес /props и /tokenize ──
@pytest.mark.unit
@pytest.mark.parametrize(
"given, expected_root",
[
("http://127.0.0.1:8081/v1", "http://127.0.0.1:8081"),
("http://127.0.0.1:8081/v1/", "http://127.0.0.1:8081"),
("http://127.0.0.1:8081", "http://127.0.0.1:8081"),
("http://server.local:9000/v1", "http://server.local:9000"),
],
)
def test_props_and_tokenize_go_to_the_root(given, expected_root):
assert LocalSupervisor(base_url=given).root_url == expected_root
@pytest.mark.unit
def test_tokenize_request_url_has_no_v1():
supervisor = LocalSupervisor(base_url="http://127.0.0.1:8081/v1")
seen = {}
def _fake_urlopen(req, timeout=None):
seen["url"] = req.full_url
raise RuntimeError("сеть в тесте недоступна")
with patch("urllib.request.urlopen", _fake_urlopen):
supervisor.count_tokens("проверка")
assert seen["url"] == "http://127.0.0.1:8081/tokenize"
@pytest.mark.unit
def test_props_request_url_has_no_v1():
supervisor = LocalSupervisor(base_url="http://127.0.0.1:8081/v1")
seen = {}
def _fake_urlopen(req, timeout=None):
seen["url"] = req.full_url
raise RuntimeError("сеть в тесте недоступна")
with patch("urllib.request.urlopen", _fake_urlopen):
supervisor.query_server_props()
assert seen["url"] == "http://127.0.0.1:8081/props"
@pytest.mark.unit
def test_unmeasured_limit_is_marked_as_such():
"""Недоступный /props даёт запасное значение — и оно обязано быть помечено."""
supervisor = LocalSupervisor(base_url="http://127.0.0.1:8081/v1")
def _fake_urlopen(req, timeout=None):
raise RuntimeError("сервер не отвечает")
with patch("urllib.request.urlopen", _fake_urlopen):
result = supervisor.query_server_props()
assert result.is_measured is False
# ── Находка 2: полнота фактов не подменяется исправленной ──
class _Profile:
custom_base_url = "http://127.0.0.1:9999/v1"
preferred_models = ["compressor"]
auth_config: dict = {}
def _compress_with_summary(summary: str):
payload = {"choices": [{"message": {"content": summary}}], "model": "test-gguf"}
class _Resp:
def read(self):
import json
return json.dumps(payload).encode()
def __enter__(self):
return self
def __exit__(self, *a):
return False
messages = [
{"role": "system", "content": "система"},
{"role": "user", "content": "Правка в коммите 001cd1f, порт 8082, файл /srv/app/main.py"},
{"role": "assistant", "content": "Скорость 107.4 tok/s на версии v0.1.3"},
{"role": "user", "content": "свежее 1"},
{"role": "user", "content": "свежее 2"},
{"role": "user", "content": "свежее 3"},
]
compressor = ContextCompressor()
with patch("urllib.request.urlopen", return_value=_Resp()), \
patch.object(ContextCompressor, "_record_to_shared_memory", lambda self, o: None):
_, outcome = compressor.compress_messages_if_needed(
messages=messages,
target_context_limit=1000,
current_token_count=900,
compressor_profile=_Profile(),
)
return outcome
@pytest.mark.unit
def test_model_retention_is_reported_separately_when_facts_were_added():
# Сводка намеренно теряет часть фактов — их дописывает страховка.
outcome = _compress_with_summary("Кратко: правка внесена, порт 8082.")
assert outcome.status == "SUCCESS"
assert outcome.facts_added_by_safeguard, "страховка обязана была сработать"
assert outcome.model_retention_percent < 100.0
assert outcome.retention_percent == pytest.approx(100.0)
assert "дописано списком" in outcome.status_message
assert f"{outcome.model_retention_percent:.1f}%" in outcome.status_message
@pytest.mark.unit
def test_full_model_retention_is_stated_as_the_model_s_own():
summary = "Коммит 001cd1f, порт 8082, файл /srv/app/main.py, 107.4 tok/s, v0.1.3"
outcome = _compress_with_summary(summary)
assert not outcome.facts_added_by_safeguard
assert outcome.model_retention_percent == pytest.approx(100.0)
assert "самой моделью" in outcome.status_message
@pytest.mark.unit
def test_status_message_never_hardcodes_a_hundred_percent():
import inspect
from antigravity_provider.router import context_compressor
source = inspect.getsource(context_compressor)
assert "(100%)." not in source, "полнота обязана браться из замера, а не из строки"
# ── Находка 3: порт компрессора не зашит ──
@pytest.mark.unit
def test_compressor_port_is_not_hardcoded():
import inspect
from antigravity_provider.router import context_compressor
code_lines = [
line
for line in inspect.getsource(context_compressor).splitlines()
if not line.lstrip().startswith("#")
]
assert not any("127.0.0.1:8082" in line for line in code_lines)
@pytest.mark.unit
def test_profile_without_address_is_unconfigured_not_port_8082(monkeypatch):
monkeypatch.delenv("LOCAL_COMPRESSOR_BASE_URL", raising=False)
class _NoAddress:
custom_base_url = None
preferred_models: list = []
auth_config: dict = {}
_, outcome = ContextCompressor().compress_messages_if_needed(
messages=[{"role": "user", "content": "x"}],
target_context_limit=1000,
current_token_count=900,
compressor_profile=_NoAddress(),
)
assert outcome.status == "UNCONFIGURED"
assert "адрес" in outcome.status_message
# ── Итог сжатия пересчитывается токенизатором ──
@pytest.mark.unit
def test_result_size_is_recounted_by_the_tokenizer():
supervisor = LocalSupervisor(base_url="http://127.0.0.1:8081/v1")
outcome = CompressionOutcome(
status="SUCCESS", status_message="", tokens_before=900, tokens_after=1
)
with patch.object(
ContextCompressor,
"compress_messages_if_needed",
return_value=([{"role": "user", "content": "сводка"}], outcome),
), patch.object(
LocalSupervisor,
"count_tokens",
side_effect=[
type("T", (), {"tokens_count": 900, "is_estimated": False})(),
type("T", (), {"tokens_count": 120, "is_estimated": False})(),
],
):
_, result = supervisor.compress_context_if_needed(
messages=[{"role": "user", "content": "длинная история"}],
target_context_limit=1000,
)
assert result.tokens_after == 120
assert result.tokens_after_is_estimate is False
assert result.saved_tokens == 780