try-agaaain opened a new pull request, #277:
URL: https://github.com/apache/incubator-hugegraph-ai/pull/277
Link to #234
I'm working on replacing the `.env` configuration method with YAML and have
completed a preliminary implementation. (I'll switch to OmegaConf later)
The generated configuration file looks like this:
<details>
<summary>config.yaml</summary>
```yaml
AdminConfig:
ADMIN_TOKEN: xxxx
ENABLE_LOGIN: 'False'
USER_TOKEN: '4321'
HugeGraphConfig:
EDGE_LIMIT_PRE_LABEL: 8
GRAPH_NAME: hugegraph
GRAPH_PWD: xxx
GRAPH_SPACE: null
GRAPH_URL: 127.0.0.1:8080
GRAPH_USER: admin
LIMIT_PROPERTY: 'False'
MAX_GRAPH_ITEMS: 30
MAX_GRAPH_PATH: 10
TOPK_PER_KEYWORD: 1
TOPK_RETURN_RESULTS: 20
VECTOR_DIS_THRESHOLD: 0.9
LLMConfig:
CHAT_LLM_TYPE: openai
COHERE_BASE_URL: https://api.cohere.com/v1/rerank
EMBEDDING_TYPE: openai
EXTRACT_LLM_TYPE: openai
LITELLM_CHAT_API_BASE: null
LITELLM_CHAT_API_KEY: null
LITELLM_CHAT_LANGUAGE_MODEL: gemini-2.0-flash
LITELLM_CHAT_TOKENS: 8192
LITELLM_EMBEDDING_API_BASE: null
LITELLM_EMBEDDING_API_KEY: null
LITELLM_EMBEDDING_MODEL: openai/text-embedding-3-small
LITELLM_EXTRACT_API_BASE: null
LITELLM_EXTRACT_API_KEY: null
LITELLM_EXTRACT_LANGUAGE_MODEL: gemini-2.0-flash
LITELLM_EXTRACT_TOKENS: 256
LITELLM_TEXT2GQL_API_BASE: null
LITELLM_TEXT2GQL_API_KEY: null
LITELLM_TEXT2GQL_LANGUAGE_MODEL: gemini-2.0-flash
LITELLM_TEXT2GQL_TOKENS: 4096
OLLAMA_CHAT_HOST: 127.0.0.1
OLLAMA_CHAT_LANGUAGE_MODEL: null
OLLAMA_CHAT_PORT: 11434
OLLAMA_EMBEDDING_HOST: 127.0.0.1
OLLAMA_EMBEDDING_MODEL: null
OLLAMA_EMBEDDING_PORT: 11434
OLLAMA_EXTRACT_HOST: 127.0.0.1
OLLAMA_EXTRACT_LANGUAGE_MODEL: null
OLLAMA_EXTRACT_PORT: 11434
OLLAMA_TEXT2GQL_HOST: 127.0.0.1
OLLAMA_TEXT2GQL_LANGUAGE_MODEL: null
OLLAMA_TEXT2GQL_PORT: 11434
OPENAI_CHAT_API_BASE:
https://generativelanguage.googleapis.com/v1beta/openai
OPENAI_CHAT_API_KEY: null
OPENAI_CHAT_LANGUAGE_MODEL: gemini-2.0-flash
OPENAI_CHAT_TOKENS: 8192
OPENAI_EMBEDDING_API_BASE:
https://generativelanguage.googleapis.com/v1beta/openai
OPENAI_EMBEDDING_API_KEY: null
OPENAI_EMBEDDING_MODEL: text-embedding-004
OPENAI_EXTRACT_API_BASE:
https://generativelanguage.googleapis.com/v1beta/openai
OPENAI_EXTRACT_API_KEY: null
OPENAI_EXTRACT_LANGUAGE_MODEL: gemini-2.0-flash
OPENAI_EXTRACT_TOKENS: 8192
OPENAI_TEXT2GQL_API_BASE:
https://generativelanguage.googleapis.com/v1beta/openai
OPENAI_TEXT2GQL_API_KEY: null
OPENAI_TEXT2GQL_LANGUAGE_MODEL: gemini-2.0-flash
OPENAI_TEXT2GQL_TOKENS: 8192
QIANFAN_CHAT_ACCESS_TOKEN: null
QIANFAN_CHAT_API_KEY: null
QIANFAN_CHAT_LANGUAGE_MODEL: ERNIE-Speed-128K
QIANFAN_CHAT_SECRET_KEY: null
QIANFAN_CHAT_URL:
https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/
QIANFAN_EMBEDDING_API_KEY: null
QIANFAN_EMBEDDING_MODEL: embedding-v1
QIANFAN_EMBEDDING_SECRET_KEY: null
QIANFAN_EMBED_URL:
https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/embeddings/
QIANFAN_EXTRACT_ACCESS_TOKEN: null
QIANFAN_EXTRACT_API_KEY: null
QIANFAN_EXTRACT_LANGUAGE_MODEL: ERNIE-Speed-128K
QIANFAN_EXTRACT_SECRET_KEY: null
QIANFAN_TEXT2GQL_ACCESS_TOKEN: null
QIANFAN_TEXT2GQL_API_KEY: null
QIANFAN_TEXT2GQL_LANGUAGE_MODEL: ERNIE-Speed-128K
QIANFAN_TEXT2GQL_SECRET_KEY: null
QIANFAN_URL_PREFIX:
https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop
RERANKER_API_KEY: null
RERANKER_MODEL: null
RERANKER_TYPE: null
TEXT2GQL_LLM_TYPE: openai
```
</details>
The `LLMConfig` section has a large number of configuration items. Do there
any suggestions on how to better organize and manage these configurations?
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