mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-08-27 20:57:13 +00:00
feat(cloud): harden multi-tenant runtime resources
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@@ -7,7 +7,13 @@ from typing import Any, Dict, List
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from langbot.pkg.core import app
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from langbot.pkg.vector.vdb import VectorDatabase, SearchType
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from langbot.pkg.utils import bounded_executor
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from langbot.pkg.vector.vdb import (
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VectorDatabase,
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SearchType,
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remember_bounded_mapping,
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runtime_cache_limit,
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)
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try:
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import pyseekdb
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@@ -90,6 +96,7 @@ class SeekDBVectorDatabase(VectorDatabase):
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self._collections: Dict[str, Any] = {}
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self._collection_configs: Dict[str, HNSWConfiguration] = {}
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self._runtime_cache_limit = runtime_cache_limit(ap)
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self._escape_table = str.maketrans(
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{
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@@ -103,6 +110,13 @@ class SeekDBVectorDatabase(VectorDatabase):
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}
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)
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async def close(self) -> None:
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self._collections.clear()
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self._collection_configs.clear()
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close = getattr(self.client, 'close', None)
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if callable(close):
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await bounded_executor.run_blocking_cleanup(close)
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def _normalize_collection_name(self, collection: str) -> str:
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"""SeekDB only accepts [a-zA-Z0-9_], while LangBot uses UUID-like KB IDs."""
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normalized = re.sub(r'[^A-Za-z0-9_]', '_', collection)
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@@ -132,7 +146,12 @@ class SeekDBVectorDatabase(VectorDatabase):
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if await asyncio.to_thread(self.client.has_collection, collection):
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# Collection exists, get it
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coll = await asyncio.to_thread(self.client.get_collection, collection, embedding_function=None)
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self._collections[collection] = coll
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remember_bounded_mapping(
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self._collections,
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collection,
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coll,
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self._runtime_cache_limit,
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)
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self.ap.logger.info(f"SeekDB collection '{collection}' retrieved.")
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return coll
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@@ -145,7 +164,12 @@ class SeekDBVectorDatabase(VectorDatabase):
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# Create HNSW configuration
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config = HNSWConfiguration(dimension=vector_size, distance='cosine')
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self._collection_configs[collection] = config
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remember_bounded_mapping(
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self._collection_configs,
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collection,
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config,
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self._runtime_cache_limit,
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)
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# Create collection without embedding function (we manage embeddings externally)
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coll = await asyncio.to_thread(
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@@ -155,7 +179,12 @@ class SeekDBVectorDatabase(VectorDatabase):
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embedding_function=None, # Disable automatic embedding
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)
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self._collections[collection] = coll
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remember_bounded_mapping(
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self._collections,
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collection,
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coll,
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self._runtime_cache_limit,
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)
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self.ap.logger.info(f"SeekDB collection '{collection}' created with dimension={vector_size}, distance='cosine'")
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return coll
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@@ -243,7 +272,12 @@ class SeekDBVectorDatabase(VectorDatabase):
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# Get collection
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if collection not in self._collections:
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coll = await asyncio.to_thread(self.client.get_collection, collection, embedding_function=None)
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self._collections[collection] = coll
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remember_bounded_mapping(
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self._collections,
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collection,
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coll,
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self._runtime_cache_limit,
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)
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else:
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coll = self._collections[collection]
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@@ -349,7 +383,12 @@ class SeekDBVectorDatabase(VectorDatabase):
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# Get collection
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if collection not in self._collections:
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coll = await asyncio.to_thread(self.client.get_collection, collection, embedding_function=None)
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self._collections[collection] = coll
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remember_bounded_mapping(
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self._collections,
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collection,
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coll,
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self._runtime_cache_limit,
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)
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else:
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coll = self._collections[collection]
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@@ -374,7 +413,12 @@ class SeekDBVectorDatabase(VectorDatabase):
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if collection not in self._collections:
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coll = await asyncio.to_thread(self.client.get_collection, collection, embedding_function=None)
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self._collections[collection] = coll
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remember_bounded_mapping(
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self._collections,
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collection,
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coll,
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self._runtime_cache_limit,
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)
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else:
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coll = self._collections[collection]
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@@ -396,7 +440,12 @@ class SeekDBVectorDatabase(VectorDatabase):
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if collection not in self._collections:
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coll = await asyncio.to_thread(self.client.get_collection, collection, embedding_function=None)
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self._collections[collection] = coll
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remember_bounded_mapping(
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self._collections,
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collection,
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coll,
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self._runtime_cache_limit,
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)
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else:
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coll = self._collections[collection]
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