Files
ragflow/rag/utils/__init__.py
Stephen Hu d86d7061ea Refactor: Improve how to get total token count for AnthropicCV (#10658)
### What problem does this PR solve?

 Improve how to get total token count for AnthropicCV

### Type of change

- [x] Refactoring
2025-10-29 09:41:15 +08:00

80 lines
2.3 KiB
Python

#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
import tiktoken
from api.utils.file_utils import get_project_base_directory
def singleton(cls, *args, **kw):
instances = {}
def _singleton():
key = str(cls) + str(os.getpid())
if key not in instances:
instances[key] = cls(*args, **kw)
return instances[key]
return _singleton
tiktoken_cache_dir = get_project_base_directory()
os.environ["TIKTOKEN_CACHE_DIR"] = tiktoken_cache_dir
# encoder = tiktoken.encoding_for_model("gpt-3.5-turbo")
encoder = tiktoken.get_encoding("cl100k_base")
def num_tokens_from_string(string: str) -> int:
"""Returns the number of tokens in a text string."""
try:
return len(encoder.encode(string))
except Exception:
return 0
def total_token_count_from_response(resp):
if hasattr(resp, "usage") and hasattr(resp.usage, "total_tokens"):
try:
return resp.usage.total_tokens
except Exception:
pass
if hasattr(resp, "usage_metadata") and hasattr(resp.usage_metadata, "total_tokens"):
try:
return resp.usage_metadata.total_tokens
except Exception:
pass
if 'usage' in resp and 'total_tokens' in resp['usage']:
try:
return resp["usage"]["total_tokens"]
except Exception:
pass
if 'usage' in resp and 'input_tokens' in resp['usage'] and 'output_tokens' in resp['usage']:
try:
return resp["usage"]["input_tokens"] + resp["usage"]["output_tokens"]
except Exception:
pass
return 0
def truncate(string: str, max_len: int) -> str:
"""Returns truncated text if the length of text exceed max_len."""
return encoder.decode(encoder.encode(string)[:max_len])