context-injector-readme

Context Injector provides API functions to construct and parse broadcast contexts for multi-agent systems. Use the module's context-building functions to create structured contexts that coordinate agent communication and state sharing across parallel executions.

Context Injector documentation outlines usage patterns for multi-agent context creation and merging. The CONTEXT_INJECTOR_USAGE_GUIDE.md demonstrates how to structure contexts so agents can share state, consensus results, and decision signals across distributed executions.

Yes. Context Injector orchestrates container-based CFN Loop execution with agent spawning, loop management, and consensus collection. It supports dockerized CFN workflows requiring Loop 3 implementers and Loop 2 validators with parallel execution and gate checks.

Context Injector uses Redis-backed state management to track agent execution, gate evaluation results, and consensus data. This enables reliable state persistence and retrieval across parallel agent spawns in container environments.

Context Injector encompasses MVP, Standard, and Enterprise configurations with mode and configuration control. Each tier supports different levels of parallel execution, confidence scoring, and product owner decision workflows tailored to deployment scale.

Context Injector includes error handling and gate evaluation logic. Review the API reference and usage examples to understand failure modes, validate your context structure, and ensure agents properly report confidence scores and decision data for gate assessment.