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This pull request introduces several significant changes to the anomaly detection system, including the addition of support for Anthropic's LLM, refactoring existing OpenAI-related code, and updating environment variables. The most important changes are summarized below:
Support for Anthropic LLM:
.example.env
file to include these variables. (.example.env
)anthropic.py
to handle anomaly detection using Anthropic's Messages API. (anomstack/llm/anthropic.py
)Refactoring and Code Improvements:
detect_anomalies
function to dispatch to the appropriate LLM platform (OpenAI or Anthropic) based on the environment variableANOMSTACK_LLM_PLATFORM
. (anomstack/llm/detect.py
)openai.py
and renamed the function todetect_anomalies_openai
. (anomstack/llm/openai.py
) [1] [2] [3] [4] [5]Model and Schema Definitions:
Anomaly
andDetectAnomaliesResponse
to standardize the response schema for detected anomalies. (anomstack/llm/models.py
)Minor Improvements:
metrics/defaults/python/prompt.py
)anthropic
library to therequirements.compile
file. (requirements.compile
)