feat(integrations): add Hermes provider with shared memory utilities
This commit is contained in:
@@ -11,7 +11,6 @@ from __future__ import annotations
|
||||
import functools
|
||||
import hashlib
|
||||
import json
|
||||
import math
|
||||
import os
|
||||
import re
|
||||
import sqlite3
|
||||
@@ -27,6 +26,14 @@ from pathlib import Path
|
||||
from typing import Any, Iterable
|
||||
|
||||
import telemetry
|
||||
from message_utils import MAX_EXTRACTION_INPUT_TOKENS as MAX_EXTRACTION_INPUT_TOKENS
|
||||
from message_utils import SECRET_PATTERNS as SECRET_PATTERNS
|
||||
from message_utils import _estimated_tokens as _estimated_tokens
|
||||
from message_utils import _is_agent_assignment as _is_agent_assignment
|
||||
from message_utils import _is_agent_response as _is_agent_response
|
||||
from message_utils import _message_tokens as _message_tokens
|
||||
from message_utils import extraction_message_batches as extraction_message_batches
|
||||
from message_utils import redact as redact
|
||||
|
||||
DEFAULT_API_URL = "https://api.mem0.ai"
|
||||
PLUGIN_VERSION = "0.3.1"
|
||||
@@ -66,7 +73,6 @@ CHECKPOINT_EXCHANGES = 5
|
||||
CHECKPOINT_MESSAGES = 10
|
||||
CHECKPOINT_SOURCE_CHARS = 40000
|
||||
DEFAULT_MAX_CONTEXT_CHARS = 4000
|
||||
MAX_EXTRACTION_INPUT_TOKENS = 24000
|
||||
MAX_FLUSH_ATTEMPTS = 5
|
||||
FORGET_PAGE_SIZE = 100
|
||||
FORGET_MAX_PAGES = 50
|
||||
@@ -139,48 +145,11 @@ BUILD_COMMAND_RE = re.compile(
|
||||
re.IGNORECASE,
|
||||
)
|
||||
|
||||
SECRET_PATTERNS = [
|
||||
re.compile(r"(?i)(authorization\s*[:=]\s*(?:bearer|token)\s+)[^\s\"']+"),
|
||||
re.compile(
|
||||
r"(?i)((?:api[_-]?key|secret[_-]?access[_-]?key|session[_-]?token)\s*[:=]\s*)[^\s\"']+"
|
||||
),
|
||||
re.compile(
|
||||
r"(?i)((?:access[_-]?token|refresh[_-]?token|password|credential)"
|
||||
r"\s*[:=]\s*)[^\s&\"']+"
|
||||
),
|
||||
re.compile(r"\b(?:sk|m0|mem0_sk|psk)-[A-Za-z0-9_\-]{12,}\b"),
|
||||
re.compile(r"\b(?:ASIA|AKIA)[A-Z0-9]{12,}\b"),
|
||||
re.compile(r"\b(?:ghp_|github_pat_|xox[baprs]-)[A-Za-z0-9_\-]{12,}\b"),
|
||||
re.compile(
|
||||
r"-----BEGIN [^-]*PRIVATE KEY-----.*?-----END [^-]*PRIVATE KEY-----",
|
||||
re.DOTALL,
|
||||
),
|
||||
re.compile(
|
||||
r'(?i)("(?:api[_-]?key|password|secret(?:[_-]?access[_-]?key)?'
|
||||
r'|(?:access|refresh|session)[_-]?token|token|authorization|credential'
|
||||
r')"\s*:\s*")(?:\\.|[^"\\])*'
|
||||
),
|
||||
]
|
||||
|
||||
|
||||
def utc_now() -> str:
|
||||
return datetime.now(timezone.utc).isoformat()
|
||||
|
||||
|
||||
def redact(value: Any) -> str:
|
||||
text = (
|
||||
value
|
||||
if isinstance(value, str)
|
||||
else json.dumps(value, ensure_ascii=False, default=str)
|
||||
)
|
||||
for pattern in SECRET_PATTERNS:
|
||||
if pattern.groups:
|
||||
text = pattern.sub(r"\1[REDACTED]", text)
|
||||
else:
|
||||
text = pattern.sub("[REDACTED]", text)
|
||||
return text
|
||||
|
||||
|
||||
def bounded(value: Any, limit: int) -> str:
|
||||
text = redact(value).strip()
|
||||
if len(text) <= limit:
|
||||
@@ -1706,100 +1675,6 @@ def build_extraction_messages(structured: dict[str, Any]) -> list[dict[str, str]
|
||||
return messages
|
||||
|
||||
|
||||
def _estimated_tokens(value: str) -> int:
|
||||
"""Conservatively estimate tokens without adding a tokenizer dependency."""
|
||||
ascii_chars = sum(ord(char) < 128 for char in value)
|
||||
return math.ceil((ascii_chars * 0.4) + (len(value) - ascii_chars))
|
||||
|
||||
|
||||
def _message_tokens(messages: list[dict[str, str]]) -> int:
|
||||
return _estimated_tokens(json.dumps(messages, ensure_ascii=False))
|
||||
|
||||
|
||||
def _is_agent_assignment(message: dict[str, str]) -> bool:
|
||||
return message.get("role") == "assistant" and message.get(
|
||||
"content", ""
|
||||
).startswith("Subagent assignment (")
|
||||
|
||||
|
||||
def _is_agent_response(message: dict[str, str]) -> bool:
|
||||
return message.get("role") == "assistant" and message.get(
|
||||
"content", ""
|
||||
).startswith("Subagent response (")
|
||||
|
||||
|
||||
def extraction_message_batches(
|
||||
messages: list[dict[str, str]],
|
||||
*,
|
||||
max_tokens: int = MAX_EXTRACTION_INPUT_TOKENS,
|
||||
) -> list[list[dict[str, str]]]:
|
||||
"""Keep exchanges together when possible; split oversized messages to enforce the request budget."""
|
||||
if not messages or _message_tokens(messages) <= max_tokens:
|
||||
return [messages]
|
||||
|
||||
exchanges: list[list[dict[str, str]]] = []
|
||||
exchange: list[dict[str, str]] = []
|
||||
for message in messages:
|
||||
if message.get("role") == "user" and exchange:
|
||||
exchanges.append(exchange)
|
||||
exchange = []
|
||||
exchange.append(message)
|
||||
if exchange:
|
||||
exchanges.append(exchange)
|
||||
|
||||
units: list[list[dict[str, str]]] = []
|
||||
for exchange in exchanges:
|
||||
if _message_tokens(exchange) <= max_tokens:
|
||||
units.append(exchange)
|
||||
continue
|
||||
index = 0
|
||||
while index < len(exchange):
|
||||
message = exchange[index]
|
||||
if (
|
||||
_is_agent_assignment(message)
|
||||
and index + 1 < len(exchange)
|
||||
and _is_agent_response(exchange[index + 1])
|
||||
):
|
||||
units.append(exchange[index : index + 2])
|
||||
index += 2
|
||||
else:
|
||||
units.append([message])
|
||||
index += 1
|
||||
|
||||
bounded_units: list[list[dict[str, str]]] = []
|
||||
for unit in units:
|
||||
if _message_tokens(unit) <= max_tokens:
|
||||
bounded_units.append(unit)
|
||||
continue
|
||||
for message in unit:
|
||||
remaining = message["content"]
|
||||
while remaining:
|
||||
low, high = 0, len(remaining)
|
||||
while low < high:
|
||||
middle = (low + high + 1) // 2
|
||||
if _message_tokens([{**message, "content": remaining[:middle]}]) <= max_tokens:
|
||||
low = middle
|
||||
else:
|
||||
high = middle - 1
|
||||
if low == 0:
|
||||
raise ValueError("Extraction token budget cannot fit a message")
|
||||
bounded_units.append([{**message, "content": remaining[:low]}])
|
||||
remaining = remaining[low:]
|
||||
|
||||
batches: list[list[dict[str, str]]] = []
|
||||
batch: list[dict[str, str]] = []
|
||||
for unit in bounded_units:
|
||||
candidate = [*batch, *unit]
|
||||
if batch and _message_tokens(candidate) > max_tokens:
|
||||
batches.append(batch)
|
||||
batch = list(unit)
|
||||
else:
|
||||
batch = candidate
|
||||
if batch:
|
||||
batches.append(batch)
|
||||
return batches
|
||||
|
||||
|
||||
def _request_json(
|
||||
url: str, key: str, payload: dict[str, Any], timeout: float
|
||||
) -> tuple[dict[str, Any] | list[Any], int, int]:
|
||||
|
||||
@@ -0,0 +1,127 @@
|
||||
"""Shared, host-independent redaction and lossless extraction batching."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import math
|
||||
import re
|
||||
from typing import Any
|
||||
|
||||
MAX_EXTRACTION_INPUT_TOKENS = 24000
|
||||
|
||||
SECRET_PATTERNS = [
|
||||
re.compile(r"(?i)(authorization\s*[:=]\s*(?:bearer|token)\s+)[^\s\"']+"),
|
||||
re.compile(r"(?i)((?:api[_-]?key|secret[_-]?access[_-]?key|session[_-]?token)\s*[:=]\s*)[^\s\"']+"),
|
||||
re.compile(
|
||||
r"(?i)((?:access[_-]?token|refresh[_-]?token|password|credential)"
|
||||
r"\s*[:=]\s*)[^\s&\"']+"
|
||||
),
|
||||
re.compile(r"\b(?:sk|m0|mem0_sk|psk)-[A-Za-z0-9_\-]{12,}\b"),
|
||||
re.compile(r"\b(?:ASIA|AKIA)[A-Z0-9]{12,}\b"),
|
||||
re.compile(r"\b(?:ghp_|github_pat_|xox[baprs]-)[A-Za-z0-9_\-]{12,}\b"),
|
||||
re.compile(
|
||||
r"-----BEGIN [^-]*PRIVATE KEY-----.*?-----END [^-]*PRIVATE KEY-----",
|
||||
re.DOTALL,
|
||||
),
|
||||
re.compile(
|
||||
r'(?i)("(?:api[_-]?key|password|secret(?:[_-]?access[_-]?key)?'
|
||||
r"|(?:access|refresh|session)[_-]?token|token|authorization|credential"
|
||||
r')"\s*:\s*")(?:\\.|[^"\\])*'
|
||||
),
|
||||
]
|
||||
|
||||
|
||||
def redact(value: Any) -> str:
|
||||
text = value if isinstance(value, str) else json.dumps(value, ensure_ascii=False, default=str)
|
||||
for pattern in SECRET_PATTERNS:
|
||||
if pattern.groups:
|
||||
text = pattern.sub(r"\1[REDACTED]", text)
|
||||
else:
|
||||
text = pattern.sub("[REDACTED]", text)
|
||||
return text
|
||||
|
||||
|
||||
def _estimated_tokens(value: str) -> int:
|
||||
"""Conservatively estimate tokens without adding a tokenizer dependency."""
|
||||
ascii_chars = sum(ord(char) < 128 for char in value)
|
||||
return math.ceil((ascii_chars * 0.4) + (len(value) - ascii_chars))
|
||||
|
||||
|
||||
def _message_tokens(messages: list[dict[str, str]]) -> int:
|
||||
return _estimated_tokens(json.dumps(messages, ensure_ascii=False))
|
||||
|
||||
|
||||
def _is_agent_assignment(message: dict[str, str]) -> bool:
|
||||
return message.get("role") == "assistant" and message.get("content", "").startswith("Subagent assignment (")
|
||||
|
||||
|
||||
def _is_agent_response(message: dict[str, str]) -> bool:
|
||||
return message.get("role") == "assistant" and message.get("content", "").startswith("Subagent response (")
|
||||
|
||||
|
||||
def extraction_message_batches(
|
||||
messages: list[dict[str, str]],
|
||||
*,
|
||||
max_tokens: int = MAX_EXTRACTION_INPUT_TOKENS,
|
||||
) -> list[list[dict[str, str]]]:
|
||||
"""Keep exchanges together when possible; split oversized messages to enforce the request budget."""
|
||||
if not messages or _message_tokens(messages) <= max_tokens:
|
||||
return [messages]
|
||||
|
||||
exchanges: list[list[dict[str, str]]] = []
|
||||
exchange: list[dict[str, str]] = []
|
||||
for message in messages:
|
||||
if message.get("role") == "user" and exchange:
|
||||
exchanges.append(exchange)
|
||||
exchange = []
|
||||
exchange.append(message)
|
||||
if exchange:
|
||||
exchanges.append(exchange)
|
||||
|
||||
units: list[list[dict[str, str]]] = []
|
||||
for exchange in exchanges:
|
||||
if _message_tokens(exchange) <= max_tokens:
|
||||
units.append(exchange)
|
||||
continue
|
||||
index = 0
|
||||
while index < len(exchange):
|
||||
message = exchange[index]
|
||||
if _is_agent_assignment(message) and index + 1 < len(exchange) and _is_agent_response(exchange[index + 1]):
|
||||
units.append(exchange[index : index + 2])
|
||||
index += 2
|
||||
else:
|
||||
units.append([message])
|
||||
index += 1
|
||||
|
||||
bounded_units: list[list[dict[str, str]]] = []
|
||||
for unit in units:
|
||||
if _message_tokens(unit) <= max_tokens:
|
||||
bounded_units.append(unit)
|
||||
continue
|
||||
for message in unit:
|
||||
remaining = message["content"]
|
||||
while remaining:
|
||||
low, high = 0, len(remaining)
|
||||
while low < high:
|
||||
middle = (low + high + 1) // 2
|
||||
if _message_tokens([{**message, "content": remaining[:middle]}]) <= max_tokens:
|
||||
low = middle
|
||||
else:
|
||||
high = middle - 1
|
||||
if low == 0:
|
||||
raise ValueError("Extraction token budget cannot fit a message")
|
||||
bounded_units.append([{**message, "content": remaining[:low]}])
|
||||
remaining = remaining[low:]
|
||||
|
||||
batches: list[list[dict[str, str]]] = []
|
||||
batch: list[dict[str, str]] = []
|
||||
for unit in bounded_units:
|
||||
candidate = [*batch, *unit]
|
||||
if batch and _message_tokens(candidate) > max_tokens:
|
||||
batches.append(batch)
|
||||
batch = list(unit)
|
||||
else:
|
||||
batch = candidate
|
||||
if batch:
|
||||
batches.append(batch)
|
||||
return batches
|
||||
Reference in New Issue
Block a user