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Agents for Design System Automation.
This package contains:
- Stage 1 Agents: Crawler, Extractor, Normalizer, Semantic Analyzer
- Stage 2 Agents: Rule Engine, Benchmark Researcher, LLM Analysis Agents
- Workflow Graphs: LangGraph orchestration
"""
# Stage 2 components (no langgraph dependency)
from agents.benchmark_researcher import (
BenchmarkResearcher,
BenchmarkCache,
DESIGN_SYSTEM_SOURCES,
FALLBACK_BENCHMARKS,
get_available_benchmarks,
get_benchmark_choices,
BenchmarkData,
BenchmarkComparison,
)
try:
from agents.llm_agents import (
BrandIdentifierAgent,
BenchmarkAdvisorAgent,
BestPracticesValidatorAgent,
HeadSynthesizerAgent,
BrandIdentification,
BenchmarkAdvice,
BestPracticesResult,
HeadSynthesis,
)
except ImportError:
BrandIdentifierAgent = None
BenchmarkAdvisorAgent = None
BestPracticesValidatorAgent = None
HeadSynthesizerAgent = None
BrandIdentification = None
BenchmarkAdvice = None
BestPracticesResult = None
HeadSynthesis = None
# Lazy imports for langgraph-dependent modules
def get_state_module():
"""Lazy import for state module (requires langgraph)."""
from agents import state as state_module
return state_module
def get_graph_module():
"""Lazy import for graph module (requires langgraph)."""
from agents import graph as graph_module
return graph_module
__all__ = [
# Benchmark Research
"BenchmarkResearcher",
"BenchmarkCache",
"DESIGN_SYSTEM_SOURCES",
"FALLBACK_BENCHMARKS",
"get_available_benchmarks",
"get_benchmark_choices",
"BenchmarkData",
"BenchmarkComparison",
# LLM Agents
"BrandIdentifierAgent",
"BenchmarkAdvisorAgent",
"BestPracticesValidatorAgent",
"HeadSynthesizerAgent",
"BrandIdentification",
"BenchmarkAdvice",
"BestPracticesResult",
"HeadSynthesis",
# Lazy loaders
"get_state_module",
"get_graph_module",
]
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