flash CLAUDE.md

Repository instructions for runpod-flash, a Python toolkit for running machine-learning inference across RunPod's serverless computers.

In plain words
What is it for?
Use them when working on runpod-flash features such as remote functions, endpoint deployment, request routing, or its command-line tools.
Why use it?
They give a coding agent the project's structure, important code entry points, and operating rules, reducing guesswork when changing the code.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/runpod/flash/claude-md
Clone the repo
git clone --depth 1 https://github.com/runpod/flash
Per session 2,865 This file is loaded in full into every session.
When invoked 2,865 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.02865 $0.02865
Opus 5 $0.01432 $0.01432
Sonnet 5 $0.00573 $0.00573
Haiku 4.5 $0.00286 $0.00286

Measured 2d ago against content hash 577d4abd586d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

flash CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 256 lines

How it starts

The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Flash (runpod-flash)

Auto-generated by /analyze-repos on 2026-02-22. Manual edits will be overwritten on next analysis.

Project Overview

runpod-flash (v1.3.0, PyPI: runpod-flash, MIT, Python >=3.10 <3.13). Python SDK for distributed inference and serving on Runpod serverless. Provides @remote decorator, CLI (flash init/run/build/deploy), runtime for serialization, endpoint provisioning, cross-endpoint routing, and load-balanced HTTP serving.

Package: runpod_flash (src layout). Key deps: cloudpickle, runpod, pydantic>=2.0, rich>=14.0, typer>=0.12.

Architecture

Key Abstractions

  1. ServerlessResource (src/runpod_flash/core/resources/serverless.py:93) -- Base Pydantic model for all serverless endpoint configs. Extends DeployableResource with config hashing, drift detection, deployment lifecycle.
  2. ResourceManager (src/runpod_flash/core/resources/resource_manager.py:22) -- Singleton managing dynamic provisioning, persistence, config drift detection, concurrent deployment locking.
  3. ServiceRegistry (src/runpod_flash/runtime/service_registry.py:21) -- Runtime service discovery for cross-endpoint function routing. Loads flash_manifest.json, queries State Manager.
  4. remote() decorator (src/runpod_flash/client.py:48) -- Primary public API. Three modes: stub creation, local execution in deployed env, LB route handler.
  5. stub_resource() singledispatch (src/runpod_flash/stubs/registry.py:22) -- Polymorphic stub factory. Dispatches on resource type to create execution stubs.

Entry Points

  • CLI: src/runpod_flash/cli/main.py:30 (flash = runpod_flash.cli.main:app). Commands: init, run, build, deploy, env, app, undeploy
  • Module entry: src/runpod_flash/cli/main.py:89
  • Programmatic: src/runpod_flash/__init__.py exports remote, LiveServerless, etc.

Module Structure

src/runpod_flash/
  __init__.py              # Package root; lazy imports, dotenv, logging
  client.py                # @remote decorator (3 modes: stub/local/LB)
  config.py                # FlashPaths NamedTuple
  execute_class.py         # RemoteClassWrapper, class serialization
  logger.py                # SensitiveDataFilter, setup_logging()
  cli/                     # CLI layer (Typer-based)
    main.py                # CLI app definition
    commands/
      init.py              # flash init
      run.py               # flash run (dev server codegen + uvicorn)
      build.py             # flash build (artifact packaging)
      deploy.py            # flash deploy (build + upload + provision)
      preview.py           # flash deploy --preview (Docker Compose)
      env.py, apps.py, undeploy.py
      _run_server_helpers.py  # lb_execute, make_input_model
      build_utils/
        scanner.py         # AST-based @remote detection for API key analysis
        manifest.py        # flash_manifest.json generation
        handler_generator.py, lb_handler_generator.py, resource_config_generator.py
    utils/                 # app.py, conda.py, deployment.py, formatting.py, ignore.py, skeleton.py
  core/                    # Core business logic
    deployment.py          # DeploymentOrchestrator
    discovery.py           # ResourceDiscovery (AST scanning)
    exceptions.py, validation.py
    api/runpod.py          # RunpodGraphQLClient, RunpodRESTClient (899 lines)
    resources/             # All resource types, ResourceManager, GPU/CPU enums, constants
    utils/                 # backoff, constants, file_lock, http, lru_cache, singleton, user_agent
  runtime/                 # Deployed runtime (runs inside workers)
    service_registry.py    # Cross-endpoint routing via manifest
    production_wrapper.py  # Production handler wrapper
    lb_handler.py          # Load balancer FastAPI handler
    circuit_breaker.py, models.py, config.py, context.py
    serialization.py, state_manager_client.py
    resource_provisioner.py, retry_manager.py, metrics.py, reliability_config.py
  stubs/                   # Execution dispatch
    registry.py            # singledispatch stub factory
    live_serverless.py, serverless.py, load_balancer_sls.py, dependency_resolver.py
  protos/                  # FunctionRequest dataclass, protobuf definitions

Read the full file on GitHub · 256 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 256 lines · 2,865 tokens per session scan A 577d4abd586d

Subscribe to this mod's changes

flash CLAUDE.md is an instructions file published in the GitHub repository runpod/flash (182 stars, last pushed 5d ago), licensed MIT. It adds 2,865 tokens to every session, about $0.0143 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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