LLM helper library.
Project description
llmhelper
LLM helper library.
安装
pip install llmhelper
环境变量
- OPENAI_API_KEY
- OPENAI_BASE_URL
- OPENAI_CHAT_MODEL
- OPENAI_EMBEDDINGS_MODEL
- OPENAI_RERANK_MODEL
- LLMHELPER_REDIS_STACK_URL
工具集
- exceptions
- ParseJsonResponseError
- ChatError
- GetTextEmbeddingsError
- GetRerankScoresError
- NoneValueError
- VectorStoreNoneValueError
- EmbeddingsNoneValueError
- RerankNoneValueError
- base
- get_llmhelper_config
- set_llmhelper_default_config
- set_llmhelper_config
- get_default_llm
- get_default_chat_model
- get_default_embeddings_model
- get_default_rerank_model
- get_template_engine
- get_llm_base_url
- get_llm_api_url
- template
- get_template_prompt_by_django_template_engine
- get_template_prompt_by_jinjia2
- get_template_prompt
- llm
- get_messages
- parse_json_response
- chat
- jsonchat
- streaming_chat
- embeddings
- OpenAIEmbeddings
- get_text_embeddings
- rerank
- get_rerank_scores
- vectorestores
- RedisVectorStore
版本记录
v0.1.0
- 版本首发。
v0.2.0
- 添加embeddings模型操作支持。
- 添加rerank模型操作支持。
v0.3.0
- 添加向量数据库操作支持。
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
llmhelper-0.3.0.tar.gz
(13.8 kB
view details)
Built Distribution
llmhelper-0.3.0-py3-none-any.whl
(15.1 kB
view details)
File details
Details for the file llmhelper-0.3.0.tar.gz
.
File metadata
- Download URL: llmhelper-0.3.0.tar.gz
- Upload date:
- Size: 13.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d1d94708ea435fbe6ecbd8642a45e637d7a83228d87d7a7658bc9f342dbd961d |
|
MD5 | 26d4a07a606d594ee9862a6a80251eb4 |
|
BLAKE2b-256 | d324fb05070f436b2e4a6f9fb3797a38dd6d92e911a7d46cc88bd2f5d98c972a |
File details
Details for the file llmhelper-0.3.0-py3-none-any.whl
.
File metadata
- Download URL: llmhelper-0.3.0-py3-none-any.whl
- Upload date:
- Size: 15.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 47a9e14d6223e830ee94a588dfd0d74b84313c24b060de86fa437f2cde5c1dcd |
|
MD5 | d26a9962e152f75311c16a74d3e89910 |
|
BLAKE2b-256 | cca1409a670b4bcc84fb5d510bd0d66bc36d545474267b6f9ef2c63e118312b3 |