Enhance routing logic robustness and reliability for LangGraph-based multi-agent workflows #20
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Reference: cleveragents/cleveragents-core#20
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As a system architect, I want robust and fault-tolerant routing logic for LangGraph workflows so that multi-agent systems can reliably route messages even when LLM responses are inconsistent, malformed, or missing routing tags, ensuring workflows complete successfully.
Acceptance Criteria
Implement regex-based routing tag detection that handles formatting variations (case-insensitive, extra whitespace, punctuation) with 95%+ detection accuracy
Add semantic fallback routing using keyword analysis and content understanding when tags are missing or malformed
Implement state-based routing validation to prevent invalid transitions and ensure required data exists before routing (e.g., don't route to reviewer if no content written)
Handle multiple or conflicting routing tags with priority rules and validation, logging warnings for ambiguous cases
Add comprehensive logging and monitoring for all routing decisions including confidence scores, failure rates, and decision timestamps
Definition of Done (DoD)