Developer Tools●●Solid
EnvSentinel – contract-driven .env validation, zero dependencies
Solves a real CI/CD pain, but dotenv validation already exists (python-dotenv, pydantic).
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tweakyourpc
104mo ago
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Deterministic, CI-safe API key resolution with optional runtime validation (stdlib-only)
2 starsPython
API-pilot – deterministic API key resolution with runtime validation
by avi7777·Feb 13, 2026·1 point·1 comment
AI Analysis
●●SolidNiche GemSolve My ProblemShip It
The Take
Deterministic fallback order (ENV → .env → vault) plus an opt-in validation mode and a strict CI-friendly option is a practical combo I wish I'd had in several projects. The doctor CLI that lists found keys and minimal provider probes (e.g., GET /v1/models for OpenAI) is a nice touch — useful for catching bad tokens before a pipeline runs. It’s not reinventing secret managers, but the zero-deps, stdlib-only approach and CI strictness make it an immediately usable tool for small teams.
Category
Target Audience
Backend developers, AI/ML engineers, DevOps/CI engineers who manage API keys in development and CI environments
Post Description
I built a small stdlib-only tool to make API key handling deterministic and CI-safe.
Resolves from ENV → .env → vault, with optional runtime validation probes. No deps beyond Python stdlib.
Example:
from api_pilot import resolve_key client = OpenAI(api_key=resolve_key("openai", validate=True))
CLI doctor command:
$ api-pilot-doctor .env file found OPENAI_API_KEY found in environment
Modes: • Default: ENV → .env → vault • Validation: optional runtime API probes • Strict: fails if .env used (CI safety)
MCP integration ready.
Feedback welcome!
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