jpmschweitzerandClaude
4e6ca4466b
Implements Phase 1: Agent abstraction layer with multiple model support Features: - Abstract AgentInterface base class with standard contract - LoremTesterAgent: Full-featured mock agent with realistic behavior - Configurable reasoning effort levels (none to xhigh) - Random tool/function call generation - Error triggers for testing (rate_limit, context_overflow) - Temperature-based response variation - TatlockAgent: Placeholder for future PydanticAI integration - ModelRegistry: Centralized model management and discovery Testing: - 9 unit tests for lorem-tester agent behavior - 9 unit tests for registry operations - Coverage: Agent abstraction fully tested 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
12 lines
326 B
Python
12 lines
326 B
Python
"""
|
|
Agent implementations for different models.
|
|
|
|
This module provides the abstraction layer between the Responses API
|
|
and the underlying LLM implementations (PydanticAI, Ollama, etc.).
|
|
"""
|
|
|
|
from src.agents.base import AgentInterface
|
|
from src.agents.registry import ModelRegistry
|
|
|
|
__all__ = ["AgentInterface", "ModelRegistry"]
|