Ally AI

How to use

Config File

llm:
  api_key: '<private-key>'
  api_version: "<api-version>"
  endpoint: "<endpoint>"
  model: "<model-name>"
  deployment_name: '<deployment-name>'
  temperature: 0.7
  streaming: true

embeddings:
  api_key: '<private-key>'
  api_version: "<api-version>"
  endpoint: "<endpoint>"
  model: "<model-name>"
  deployment_name: '<deployment-name>'

Create LLM

Use Default Settings in LLM

from ally_ai_langchain import LLM

llm = LLM()
response = llm.invoke('What is an ally?')
print(response)

Use Custom Settings in LLM

my_llm:
  api_key: '<private-key>'
  api_version: "<api-version>"

from ally_ai_langchain import LLM, Settings

settings = Settings(section='my_llm')
llm = LLM(settings=settings)
print(llm.settings.path)
print(llm.settings.section)

Override Settings in LLM

from ally_ai_langchain import LLM, Settings

settings = Settings(section='my_llm', api_key='<new-api-key>')
llm = LLM(settings=settings)
response = llm.invoke('What is an ally?')
print(response)

How to Create Embeddings

from ally_ai_langchain import EmbeddingModel

model = EmbeddingModel()
response = model.embed_query('What is an ally?')
print(response)