AI coding

Testing and monitoring AI tool calls

• Contract Tests Between Your App and an Inference API
• Replaying Recorded Error Payloads Against Every Model
• Testing a Retry Counter with Fixed Attempt Sequences
• Testing a Tool Contract with Recorded Runs
• A Canary for Model Upgrades: Shadow Calls on Real Tool Traffic
• A Thin Client That Replays One Tool Call Outside the Agent
• Asserting on the Wrapper Log, Not Just the Return Value
• Comparing Wrong-Type Arguments Across the Models You Route To
• Contract Tests Between an Agent and Its MCP Server
• Keeping Recorded Fixtures Fresh as a Tool Changes
• One Retry Event per Attempt: A Log Schema for Wrappers
• Reading the Full Request Payload an Agent Sends a Tool
• Replaying Tool Errors Through a Thin Client Before You Ship
• Sampling Real Tool Calls for a Schema Comparison
• Testing MCP Servers with Recorded Tool Calls
• What an Agent Learns from a Failed Tool Call in a Trace