instruktai-python-logger 0.1.5

Centralized logging utilities for InstruktAI Python services.

instruktai-python-logger

Centralized logging utilities for InstruktAI Python services.

This repo provides a shared, consistent logging contract (env vars + output format + log location) intended to keep logs highly queryable (including by AIs that only read a tail window).

Background and rationale live in docs/design.md. Publishing notes live in docs/publishing.md.

Install (editable, local workspace)

From PyPI (recommended):

pip install instruktai-python-logger

From GitHub:

pip install git+ssh://[e-mail]/InstruktAI/python-logger.git

API

• Python entrypoint: instrukt_ai_logging.configure_logging(...)
• Logger helper: instrukt_ai_logging.get_logger(name) (named **kv logging)
• CLI entrypoint: instrukt-ai-logs (reads recent log lines)

Example:

import logging
from instrukt_ai_logging import configure_logging

configure_logging("teleclaude")
logger = logging.getLogger("teleclaude.core")
logger.info("job_started", job_id="abc123", user_id=123)

Environment variables (contract)

Per-app prefix model (example uses TELECLAUDE_):

• TELECLAUDE_LOG_LEVEL
• TELECLAUDE_THIRD_PARTY_LOG_LEVEL
• TELECLAUDE_THIRD_PARTY_LOGGERS (comma-separated logger prefixes, e.g. httpcore,telegram)

Global:

• INSTRUKT_AI_LOG_ROOT (optional log root override)

Log location (contract)

Default target:

• /var/log/instrukt-ai/{app}/{app}.log

The installer for each service is expected to create the directory and set write permissions for the daemon user. If the default location is not writable, the implementation will fall back to a user-writable directory and/or require INSTRUKT_AI_LOG_ROOT.