## TongAgents Core Optimization Design ``` ┌─────────────────────────────────────────────────────────────────────────────┐ │ Original LLMAgent │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ User/Tool Message ──► LLM Generate ──► Direct Output │ │ │ │ (Single-pass generation, no validation) │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ ┌─────────────────────────────────────────────────────────────────────────────┐ │ TongAgents LLMAgent │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ User/Tool Message ──► LLM Generate ──► Multi-Stage Verify ──► Output │ │ │ │ │ ┌─────────────────┴─────────────────┐ │ │ │ │ │ │ ▼ ▼ │ │ Structural Semantic │ │ Validation Validation │ │ (Tool Schema) (Policy Compliance) │ │ │ │ │ │ └─────────────────┬─────────────────┘ │ │ │ │ │ ▼ │ │ Feedback-based │ │ Regeneration │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ ``` --- ## 1. Multi-Stage Verification Framework Introduces a **verification layer** between LLM output and final execution, upgrading the paradigm from "generate-and-execute" to "generate-verify-execute": | Stage | Validation Type | Design Objective | |:-----:|:---------------:|:-----------------| | **L1** | Structural Validation | Ensures tool call parameters conform to Schema definitions, intercepting malformed requests | | **L2** | Semantic Validation | Leverages LLM self-review to verify actions align with provided policy constraints | **Core Value**: Reduces execution errors caused by malformed tool calls or policy misinterpretation, a common failure mode in agentic systems. --- ## 2. Verification-Driven Refinement When validation fails, the agent attempts iterative refinement rather than immediate failure: ``` Validation Failed │ └─► Feedback-based regeneration with error context injected into prompt ``` **Core Value**: Enables the agent to recover from validation errors through feedback loops, improving task completion rates without modifying the underlying policy logic. ---