Pi Agent / Object Storage Diagnosis
StorageOps turns Pi Coding Agent into an object storage specialist by installing S3 diagnostic skills, Pi extension tools, deterministic helpers, and compact eval cases.
Pi Agent package
StorageOps installs an object-storage diagnosis package into Pi: diagnostic skills, extension tools, deterministic helpers, and compact eval cases.
Security, protocol compatibility, CLI/SDK behavior, performance, networking, lifecycle, migration, consistency, logs, notifications, and triage.
detect_domain · scan_secrets · search_memory · capture_http_trace
Inspect policy, SigV4, payload hashes, ETags, throttling, access logs, migration estimates, and endpoint reachability.
Regression cases keep agent output stable as skills and tools evolve.
A look inside
StorageOps is not just a guide. It installs object-storage skills, Pi extension tools, helper scripts, and eval cases so Pi can diagnose S3-compatible failures.
Organized around auth, signing, throttling, consistency, migration, logs, and other storage domains.
detect_domain, scan_secrets, search_memory, and capture_http_trace route and gather evidence.
Inspect SigV4, ETags, payload hashes, throttling, access logs, and endpoint reachability.
Golden cases keep agent behavior stable as skills and tools change.
Agent topology
StorageOps is not a prompt pack. It breaks Pi diagnosis into domain skills, evidence tools, deterministic helpers, and evals.
Auth, signing, throttling, consistency, migration, logs, notifications, and more.
detect_domain, scan_secrets, search_memory, and capture_http_trace.
Golden cases and size gates keep the agent package compact and repeatable.
What it solves
You want Pi to diagnose S3-compatible failures such as AccessDenied, SlowDown, SignatureDoesNotMatch, checksum drift, lifecycle issues, or migration surprises.
A cloud console, storage SDK, or standalone monitoring platform. It is an agent package: skills, tools, helper scripts, and routing rules for Pi.
A Pi extension, 15 diagnostic skill packs, 4 tools for bounded evidence collection, a managed httpmon helper, deterministic scripts, and eval cases.
Skills and tools
Skills cover security, protocol compatibility, CLI/SDK behavior, performance, networking, lifecycle cost, replication, migration, consistency, logs, notifications, and triage.
`scan_secrets`, `detect_domain`, `search_memory`, and `capture_http_trace` help Pi route the issue and gather redacted evidence.
Deterministic scripts inspect policies, SigV4 inputs, payload hashes, ETags, throttling, access logs, migration estimates, and endpoint reachability.
Golden cases, skill/eval packs, size gates, and validation targets keep the agent package compact, repeatable, and safer to change.
Why it exists
Pi is the runtime. StorageOps is the object-storage expertise layer: domain-specific skills decide how to reason, while extension tools collect bounded evidence without dumping secrets into the prompt.
The product is useful because the agent has a taxonomy, tools, helper scripts, and regression cases. It is not a generic chatbot wrapper around S3 error messages.
Diagnosis flow
Run `storageops --print` or start an interactive Pi session with logs, errors, configs, or a short failure description.
`detect_domain` and the skill taxonomy steer Pi toward auth, signing, throttling, consistency, lifecycle, migration, or another storage domain.
Pi can scan secrets, search prior sessions, or capture a sanitized HTTP trace through the managed httpmon helper.
The agent returns likely cause, confidence, evidence, next checks, and safe changes grounded in the selected skills and tool output.
Failure domains
StorageOps is organized around recurring S3-compatible failure domains, with skills and tools that help Pi reason inside each one.
Questions & how-to
The Pi runtime can call StorageOps tools, load domain skills, search prior sessions, and combine deterministic helper output with reasoning.
Start with the exact error, command or SDK call, endpoint style, relevant config names, and a redacted log excerpt. The skills and tools narrow the next evidence request.
Use it when the diagnosis depends on request details hidden by a CLI or SDK: headers, redirects, retry behavior, canonical request shape, payload hashes, or provider metadata.