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enable config through .env

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ian
2024-03-27 19:04:48 +07:00
parent c6db7f5d01
commit c1b1371a68
6 changed files with 140 additions and 63 deletions
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146
libs/ktem/flowsettings.py
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@@ -31,70 +31,98 @@ KH_VECTORSTORE = {
"__type__": "kotaemon.storages.ChromaVectorStore",
"path": str(user_cache_dir / "vectorstore"),
}
KH_LLMS = {
# example for using Azure OpenAI, the config variables can set as environment
# variables or in the .env file
# "gpt4": {
# "def": {
# "__type__": "kotaemon.llms.AzureChatOpenAI",
# "temperature": 0,
# "azure_endpoint": config("AZURE_OPENAI_ENDPOINT", default=""),
# "openai_api_key": config("AZURE_OPENAI_API_KEY", default=""),
# "openai_api_version": config("OPENAI_API_VERSION", default=""),
# "deployment_name": "<your deployment name>",
# "stream": True,
# },
# "accuracy": 10,
# "cost": 10,
# "default": False,
# },
# "gpt35": {
# "def": {
# "__type__": "kotaemon.llms.AzureChatOpenAI",
# "temperature": 0,
# "azure_endpoint": config("AZURE_OPENAI_ENDPOINT", default=""),
# "openai_api_key": config("AZURE_OPENAI_API_KEY", default=""),
# "openai_api_version": config("OPENAI_API_VERSION", default=""),
# "deployment_name": "<your deployment name>",
# "request_timeout": 10,
# "stream": False,
# },
# "accuracy": 5,
# "cost": 5,
# "default": False,
# },
"local": {
KH_LLMS = {}
KH_EMBEDDINGS = {}
# populate options from config
if config("AZURE_OPENAI_API_KEY", default="") and config(
"AZURE_OPENAI_ENDPOINT", default=""
):
if config("AZURE_OPENAI_CHAT_DEPLOYMENT", default=""):
KH_LLMS["azure"] = {
"def": {
"__type__": "kotaemon.llms.AzureChatOpenAI",
"temperature": 0,
"azure_endpoint": config("AZURE_OPENAI_ENDPOINT", default=""),
"openai_api_key": config("AZURE_OPENAI_API_KEY", default=""),
"api_version": config("OPENAI_API_VERSION", default="")
or "2024-02-15-preview",
"deployment_name": config("AZURE_OPENAI_CHAT_DEPLOYMENT", default=""),
"request_timeout": 10,
"stream": False,
},
"default": False,
"accuracy": 5,
"cost": 5,
}
if config("AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT", default=""):
KH_EMBEDDINGS["azure"] = {
"def": {
"__type__": "kotaemon.embeddings.AzureOpenAIEmbeddings",
"azure_endpoint": config("AZURE_OPENAI_ENDPOINT", default=""),
"openai_api_key": config("AZURE_OPENAI_API_KEY", default=""),
"api_version": config("OPENAI_API_VERSION", default="")
or "2024-02-15-preview",
"deployment": config("AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT", default=""),
"request_timeout": 10,
"chunk_size": 16,
},
"default": False,
"accuracy": 5,
"cost": 5,
}
if config("OPENAI_API_KEY", default=""):
KH_LLMS["openai"] = {
"def": {
"__type__": "kotaemon.llms.ChatOpenAI",
"temperature": 0,
"openai_api_base": config("OPENAI_API_BASE", default="")
or "https://api.openai.com/v1",
"openai_api_key": config("OPENAI_API_KEY", default=""),
"model": config("OPENAI_CHAT_MODEL", default="") or "gpt-3.5-turbo",
"request_timeout": 10,
"stream": False,
},
"default": False,
}
if len(KH_EMBEDDINGS) < 1:
KH_EMBEDDINGS["openai"] = {
"def": {
"__type__": "kotaemon.embeddings.OpenAIEmbeddings",
"openai_api_base": config("OPENAI_API_BASE", default="")
or "https://api.openai.com/v1",
"openai_api_key": config("OPENAI_API_KEY", default=""),
"model": config(
"OPENAI_EMBEDDINGS_MODEL", default="text-embedding-ada-002"
)
or "text-embedding-ada-002",
"request_timeout": 10,
"chunk_size": 16,
},
"default": False,
}
if config("LOCAL_MODEL", default=""):
KH_LLMS["local"] = {
"def": {
"__type__": "kotaemon.llms.EndpointChatLLM",
"endpoint_url": "http://localhost:31415/v1/chat/completions",
},
"default": False,
},
}
KH_EMBEDDINGS = {
# example for using Azure OpenAI, the config variables can set as environment
# variables or in the .env file
# "ada": {
# "def": {
# "__type__": "kotaemon.embeddings.AzureOpenAIEmbeddings",
# "model": "text-embedding-ada-002",
# "azure_endpoint": config("AZURE_OPENAI_ENDPOINT", default=""),
# "openai_api_key": config("AZURE_OPENAI_API_KEY", default=""),
# "deployment": "<your deployment name>",
# "chunk_size": 16,
# },
# "accuracy": 5,
# "cost": 5,
# "default": True,
# },
"local": {
"def": {
"__type__": "kotaemon.embeddings.EndpointEmbeddings",
"endpoint_url": "http://localhost:31415/v1/embeddings",
},
"default": False,
},
}
"cost": 0,
}
if len(KH_EMBEDDINGS) < 1:
KH_EMBEDDINGS["local"] = {
"def": {
"__type__": "kotaemon.embeddings.EndpointEmbeddings",
"endpoint_url": "http://localhost:31415/v1/embeddings",
},
"default": False,
"cost": 0,
}
KH_REASONINGS = ["ktem.reasoning.simple.FullQAPipeline"]