Skip to main content

ai-parrot-server

Server infrastructure for the AI-Parrot framework, extracted as a PEP 420 implicit namespace satellite package.

Overview

ai-parrot-server contributes server-side modules to the parrot.* namespace alongside the core ai-parrot package. All existing import paths remain unchanged — from parrot.handlers import ChatbotHandler works identically whether using the combined install or the split install.

What's Included

Module Contents
parrot.handlers ~59 aiohttp HTTP handler files (ChatbotHandler, BotHandler, etc.)
parrot.manager BotManager, EphemeralRegistry
parrot.services AgentService, delivery, heartbeat, worker pool, WhatsApp bridge, etc.
parrot.scheduler AgentSchedulerManager, schedule decorators, models, functions
parrot.autonomous AutonomousOrchestrator, transport layer (parrot-fs), deploy tools
parrot.mcp (server) MCPServer, MCPToolAdapter, MCPServerConfig, transports, CLI
parrot.a2a (server) A2AServer, A2AEnabledMixin, A2ASecurityMiddleware
parrot.server.ui Embedded Admin UI (setup_admin_ui(), /admin) — login, status dashboard, read-only agent inventory. See docs/admin-ui.md.

Installation

# Core framework only (no server infrastructure)
pip install ai-parrot

# Core + all server infrastructure
pip install ai-parrot-server

# Core + server with specific extras
pip install ai-parrot-server[scheduler]    # + APScheduler
pip install ai-parrot-server[mcp]          # + MCP server transports (QUIC, gRPC)
pip install ai-parrot-server[a2a]          # + A2A server (JWT auth)
pip install ai-parrot-server[autonomous]   # + autonomous orchestrator (aiofiles)
pip install ai-parrot-server[all]          # everything

# Via host meta-extra
pip install ai-parrot[server]             # convenience alias for ai-parrot-server[all]
pip install ai-parrot[all]               # includes ai-parrot-server[all]

How It Works

This package uses PEP 420 implicit namespace packages. It contributes to the same parrot.* namespace as ai-parrot without any __init__.py files at the namespace levels. Python's import system merges the two distributions' directory trees transparently.

The host parrot.* __init__.py files use pkgutil.extend_path and lazy __getattr__ patterns to expose server classes when this satellite is installed, and provide helpful ImportError messages when it is not.

Migration

See docs/migration/feat-203-ai-parrot-server.md for the full migration guide.

Metadata

Release files for ai-parrot-server 1.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ai-parrot-server 1.0.2
File Size Uploaded
ai_parrot_server-1.0.2.tar.gz 4.5 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for ai-parrot-server 1.0.2
File Interpreter ABI Platform
ai_parrot_server-1.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 9.2 MB

Release files / ai_parrot_server-1.0.2.tar.gz

Download URL ai_parrot_server-1.0.2.tar.gz
Size 4.5 MB
Tags Source
SHA-256 checksum
How to use checksums
fa2e313f9e53d573c08da6897dad1af7dd69c72df006833f4aded94a05087a21
BLAKE2b-256 checksum
How to use checksums
94a5c806fe841fff64065e2e776bacc356a37c92a53e398ef31e0b836d680a96
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 15, 2026.

Transparency log

Release files / ai_parrot_server-1.0.2-py3-none-any.whl

Download URL ai_parrot_server-1.0.2-py3-none-any.whl
Size 4.7 MB
Tags Python 3
SHA-256 checksum
How to use checksums
edcd344a78ea9b4c08c70699ed78d782beee48fca6fdff4c796640ae1449b9d9
BLAKE2b-256 checksum
How to use checksums
d3919de57e99b4c6ad53079e91dfa1737004a4e821646390eaf087de27e6debf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 15, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page