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__init__.py
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"""
ForesightBench - A benchmark for evaluating LLM plan-execution faithfulness.
This benchmark measures how well language models can:
1. Create structured, multi-step plans
2. Execute their own plans faithfully
3. Maintain consistency across long-horizon tasks
"""
__version__ = "0.1.0"
__author__ = "ForesightBench Team"
from .core.task_store import TaskStore, Task
from .core.prompt_engine import PromptEngine
from .core.llm_interface import LLMClient, OpenAIClient, AnthropicClient
from .core.capture import PlanCapture, ExecutionCapture
from .evaluation.rule_validators import RuleValidator
from .evaluation.semantic_evaluator import SemanticEvaluator
from .evaluation.metrics import MetricsComputer
from .storage.experiment_tracker import ExperimentTracker
from .runner import ForesightBenchRunner
__all__ = [
"TaskStore",
"Task",
"PromptEngine",
"LLMClient",
"OpenAIClient",
"AnthropicClient",
"PlanCapture",
"ExecutionCapture",
"RuleValidator",
"SemanticEvaluator",
"MetricsComputer",
"ExperimentTracker",
"ForesightBenchRunner",
]