Documentation auto generated with undoc.ai as a demonstration for Ron ( You don't have to merge this )

council/__init__.py

@@ -1,4 +1,18 @@
-"""Init file."""
+"""
+
+A module for initializing various components of a language model-based system.
+
+This module imports and provides the foundational building blocks for constructing and operating
+language model agents, chains of agents, contexts, controllers, evaluators, and filters. Additionally, it
+includes the specification for implementations of language model interfaces for Anthropic, Azure, and
+OpenAI large language models (LLMs). Administrative structures like Chain Context and Skill Context are
+imported for coordination of chain operations and management of skills within the agents, respectively.
+
+Lastly, the module imports various runner objects to control the execution flow such as loops and
+conditional executions that can operate either sequentially or in parallel.
+
+
+"""
 
 from .agents import Agent, AgentChain, AgentResult
 from .chains import Chain, ChainBase

council/agent_tests/__init__.py

@@ -1 +1,16 @@
+"""
+
+A module that initializes and includes the agent testing framework components.
+
+This module imports the classes provided by the Agent testing framework which is responsible for running test cases against an AI agent to evaluate its performance. The testing framework allows for defining various test cases with specific prompts and expected outcomes, along with a suite that can run multiple test cases and aggregate their results.
+
+Classes:
+    AgentTestCaseOutcome (Enum): An enumeration of possible outcomes for a test case, representing success, error, unknown, or inconclusive results.
+    AgentTestCaseResult: Encapsulates the outcome of a single test case execution including the test prompt, actual result, execution time, and scores generated by the applied scorers, along with any errors encountered.
+    AgentTestCase: Represents a single test case with a defined prompt and a list of scorers used to evaluate the agent's response.
+    AgentTestSuiteResult: Collects the results of all the test cases executed as part of a test suite.
+    AgentTestSuite: Encapsulates a collection of test cases that can be run against an agent, offering methods to add test cases individually and execute the entire suite, optionally displaying a progress bar.
+
+
+"""
 from .agent_tests import AgentTestCaseOutcome, AgentTestCaseResult, AgentTestCase, AgentTestSuiteResult, AgentTestSuite