mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 18:54:30 +00:00
fix drant url
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parent
8812da04e3
commit
428a74be07
2 changed files with 104 additions and 117 deletions
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@ -1219,25 +1219,28 @@ class RedisSemanticCache(BaseCache):
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async def _index_info(self):
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return await self.index.ainfo()
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class QdrantSemanticCache(BaseCache):
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def __init__(
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self,
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qdrant_url=None,
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qdrant_api_key = None,
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collection_name=None,
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similarity_threshold=None,
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quantization_config=None,
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embedding_model="text-embedding-ada-002",
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host_type = None
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):
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self,
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qdrant_url=None,
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qdrant_api_key=None,
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collection_name=None,
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similarity_threshold=None,
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quantization_config=None,
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embedding_model="text-embedding-ada-002",
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host_type=None,
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):
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import os
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from litellm.llms.custom_httpx.http_handler import (
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_get_httpx_client,
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_get_async_httpx_client
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_get_async_httpx_client,
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_get_httpx_client,
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)
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if collection_name is None:
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raise Exception("collection_name must be provided, passed None")
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self.collection_name = collection_name
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print_verbose(
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f"qdrant semantic-cache initializing COLLECTION - {self.collection_name}"
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@ -1247,108 +1250,84 @@ class QdrantSemanticCache(BaseCache):
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raise Exception("similarity_threshold must be provided, passed None")
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self.similarity_threshold = similarity_threshold
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self.embedding_model = embedding_model
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if host_type=="cloud":
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import os
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if qdrant_url is None:
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qdrant_url = os.getenv('QDRANT_URL')
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if qdrant_api_key is None:
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qdrant_api_key = os.getenv('QDRANT_API_KEY')
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if qdrant_url is not None and qdrant_api_key is not None:
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headers = {
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"api-key": qdrant_api_key,
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"Content-Type": "application/json"
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}
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else:
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raise Exception("Qdrant url and api_key must be provided for qdrant cloud hosting")
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elif host_type=="local":
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import os
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if qdrant_url is None:
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qdrant_url = os.getenv('QDRANT_URL')
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if qdrant_url is None:
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raise Exception("Qdrant url must be provided for qdrant local hosting")
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if qdrant_api_key is None:
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qdrant_api_key = os.getenv('QDRANT_API_KEY')
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if qdrant_api_key is None:
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print_verbose('Running locally without API Key.')
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headers= {
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"Content-Type": "application/json"
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}
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else:
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print_verbose("Running locally with API Key")
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headers = {
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"api-key": qdrant_api_key,
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"Content-Type": "application/json"
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}
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headers = {}
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if qdrant_url is None:
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qdrant_url = os.getenv("QDRANT_URL")
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if qdrant_api_key is None:
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qdrant_api_key = os.getenv("QDRANT_API_KEY")
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if qdrant_url is not None and qdrant_api_key is not None:
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headers = {"api-key": qdrant_api_key, "Content-Type": "application/json"}
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else:
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raise Exception("Host type can be either 'local' or 'cloud'")
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raise Exception("Qdrant url and api_key must be")
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self.qdrant_url = qdrant_url
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self.qdrant_api_key = qdrant_api_key
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print_verbose(f"qdrant semantic-cache qdrant_url: {self.qdrant_url}")
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self.headers = headers
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self.sync_client = _get_httpx_client()
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self.async_client = _get_async_httpx_client()
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if quantization_config is None:
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print('Quantization config is not provided. Default binary quantization will be used.')
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collection_exists = self.sync_client.get(
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url= f"{self.qdrant_url}/collections/{self.collection_name}/exists",
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headers=self.headers
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print_verbose(
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"Quantization config is not provided. Default binary quantization will be used."
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)
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if collection_exists.json()['result']['exists']:
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collection_exists = self.sync_client.get(
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url=f"{self.qdrant_url}/collections/{self.collection_name}/exists",
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headers=self.headers,
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)
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if collection_exists.status_code != 200:
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raise ValueError(
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f"Error from qdrant checking if /collections exist {collection_exists.text}"
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)
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if collection_exists.json()["result"]["exists"]:
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collection_details = self.sync_client.get(
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url=f"{self.qdrant_url}/collections/{self.collection_name}",
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headers=self.headers
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)
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url=f"{self.qdrant_url}/collections/{self.collection_name}",
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headers=self.headers,
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)
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self.collection_info = collection_details.json()
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print_verbose(f'Collection already exists.\nCollection details:{self.collection_info}')
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print_verbose(
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f"Collection already exists.\nCollection details:{self.collection_info}"
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)
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else:
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if quantization_config is None or quantization_config == 'binary':
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if quantization_config is None or quantization_config == "binary":
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quantization_params = {
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"binary": {
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"always_ram": False,
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}
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}
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elif quantization_config == 'scalar':
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elif quantization_config == "scalar":
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quantization_params = {
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"scalar": {
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"type": "int8",
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"quantile": 0.99,
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"always_ram": False
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}
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"scalar": {"type": "int8", "quantile": 0.99, "always_ram": False}
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}
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elif quantization_config == 'product':
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elif quantization_config == "product":
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quantization_params = {
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"product": {
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"compression": "x16",
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"always_ram": False
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}
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"product": {"compression": "x16", "always_ram": False}
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}
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else:
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raise Exception("Quantization config must be one of 'scalar', 'binary' or 'product'")
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else:
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raise Exception(
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"Quantization config must be one of 'scalar', 'binary' or 'product'"
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)
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new_collection_status = self.sync_client.put(
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url=f"{self.qdrant_url}/collections/{self.collection_name}",
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json={
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"vectors": {
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"size": 1536,
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"distance": "Cosine"
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},
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"quantization_config": quantization_params
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"vectors": {"size": 1536, "distance": "Cosine"},
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"quantization_config": quantization_params,
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},
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headers=self.headers
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headers=self.headers,
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)
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if new_collection_status.json()["result"]:
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collection_details = self.sync_client.get(
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url=f"{self.qdrant_url}/collections/{self.collection_name}",
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headers=self.headers
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)
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url=f"{self.qdrant_url}/collections/{self.collection_name}",
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headers=self.headers,
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)
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self.collection_info = collection_details.json()
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print_verbose(f'New collection created.\nCollection details:{self.collection_info}')
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print_verbose(
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f"New collection created.\nCollection details:{self.collection_info}"
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)
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else:
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raise Exception("Error while creating new collection")
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@ -1394,14 +1373,14 @@ class QdrantSemanticCache(BaseCache):
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"payload": {
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"text": prompt,
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"response": value,
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}
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},
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},
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]
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}
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keys = self.sync_client.put(
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url=f"{self.qdrant_url}/collections/{self.collection_name}/points",
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headers=self.headers,
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json=data
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json=data,
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)
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return
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@ -1433,14 +1412,14 @@ class QdrantSemanticCache(BaseCache):
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"oversampling": 3.0,
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}
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},
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"limit":1,
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"with_payload": True
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"limit": 1,
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"with_payload": True,
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}
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search_response = self.sync_client.post(
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url=f"{self.qdrant_url}/collections/{self.collection_name}/points/search",
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headers=self.headers,
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json=data
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json=data,
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)
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results = search_response.json()["result"]
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@ -1470,8 +1449,10 @@ class QdrantSemanticCache(BaseCache):
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pass
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async def async_set_cache(self, key, value, **kwargs):
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from litellm.proxy.proxy_server import llm_router, llm_model_list
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import uuid
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from litellm.proxy.proxy_server import llm_model_list, llm_router
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print_verbose(f"async qdrant semantic-cache set_cache, kwargs: {kwargs}")
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# get the prompt
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@ -1519,7 +1500,7 @@ class QdrantSemanticCache(BaseCache):
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"payload": {
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"text": prompt,
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"response": value,
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}
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},
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},
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]
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}
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@ -1527,13 +1508,13 @@ class QdrantSemanticCache(BaseCache):
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keys = await self.async_client.put(
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url=f"{self.qdrant_url}/collections/{self.collection_name}/points",
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headers=self.headers,
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json=data
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json=data,
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)
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return
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async def async_get_cache(self, key, **kwargs):
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print_verbose(f"async qdrant semantic-cache get_cache, kwargs: {kwargs}")
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from litellm.proxy.proxy_server import llm_router, llm_model_list
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from litellm.proxy.proxy_server import llm_model_list, llm_router
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# get the messages
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messages = kwargs["messages"]
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@ -1578,14 +1559,14 @@ class QdrantSemanticCache(BaseCache):
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"oversampling": 3.0,
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}
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},
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"limit":1,
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"with_payload": True
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"limit": 1,
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"with_payload": True,
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}
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search_response = await self.async_client.post(
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url=f"{self.qdrant_url}/collections/{self.collection_name}/points/search",
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headers=self.headers,
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json=data
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json=data,
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)
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results = search_response.json()["result"]
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@ -1624,6 +1605,7 @@ class QdrantSemanticCache(BaseCache):
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async def _collection_info(self):
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return self.collection_info
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class S3Cache(BaseCache):
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def __init__(
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self,
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@ -2134,7 +2116,7 @@ class Cache:
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qdrant_collection_name: Optional[str] = None,
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qdrant_quantization_config: Optional[str] = None,
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qdrant_semantic_cache_embedding_model="text-embedding-ada-002",
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qdrant_host_type: Optional[Literal["local","cloud"]] = "local",
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qdrant_host_type: Optional[Literal["local", "cloud"]] = "local",
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**kwargs,
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):
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"""
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@ -2176,13 +2158,13 @@ class Cache:
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)
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elif type == "qdrant-semantic":
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self.cache = QdrantSemanticCache(
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qdrant_url= qdrant_url,
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qdrant_api_key= qdrant_api_key,
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collection_name= qdrant_collection_name,
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similarity_threshold= similarity_threshold,
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quantization_config= qdrant_quantization_config,
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embedding_model= qdrant_semantic_cache_embedding_model,
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host_type=qdrant_host_type
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qdrant_url=qdrant_url,
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qdrant_api_key=qdrant_api_key,
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collection_name=qdrant_collection_name,
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similarity_threshold=similarity_threshold,
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quantization_config=qdrant_quantization_config,
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embedding_model=qdrant_semantic_cache_embedding_model,
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host_type=qdrant_host_type,
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)
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elif type == "local":
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self.cache = InMemoryCache()
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