msjidandClaude Sonnet 5
771280cde6
RAG + multi-agent (retrieval, policy-compliance, drafting) support assistant for a fictional shipping company, built in Rust with Qdrant for vector storage and a hand-rolled Anthropic tool-calling client (no Rust pydantic-ai equivalent exists). A deterministic supervisor orchestrates the agents and runs every response through a rule-based guardrail pipeline with an append-only audit log. Includes a 44-example golden dataset (normal/injection/policy- violation/hallucination-bait/out-of-scope) and a regression harness that scores retrieval, generation, and guardrail correctness separately, plus a write-up of the failure modes and trade-offs. Co-Authored-By: Claude Sonnet 5 <[email protected]>
14 lines
398 B
Rust
14 lines
398 B
Rust
//! The `Tool` trait agents expose to the LLM during an agentic loop.
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use async_trait::async_trait;
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use serde_json::Value;
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#[async_trait]
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pub trait Tool: Send + Sync {
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fn name(&self) -> &str;
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fn description(&self) -> &str;
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/// JSON Schema (object) describing the tool's input.
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fn input_schema(&self) -> Value;
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async fn execute(&self, input: Value) -> anyhow::Result<Value>;
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}
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