aicc-py 0.1.0: initial SDK

- protocol.py: pydantic models for all AICC message types (envelope,
  session_init, tool_call, tool_result, event, error, heartbeat)
- bridge.py: Bridge with @bridge.tool registration, capability checks,
  session management, serve_forever
- client.py: AICCClient with single background reader (safe on
  concurrent transports like WebSocket), call_tool, events, manifest
- tool.py: @tool decorator with schema generation from type hints
- schema.py: JSON Schema generation (str/int/float/bool, list, dict,
  Optional, pydantic models)
- transport: Transport protocol, InProcessTransport, WebSocket client+server
- tests: 12 passing (integration, schema, websocket roundtrip)
- examples: bridge_minimal.py + agent_minimal.py (verified end-to-end)
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Emil Shanaty
2026-08-08 03:10:35 +03:00
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# aicc-py
Python SDK for the [AICC Protocol](https://github.com/emil28092005/AICC-Protocol) (AI-Controlled Character).
`aicc-py` provides client and bridge primitives for connecting language-model agents to virtual environments via the AICC wire protocol. Engine-agnostic, transport-pluggable, async-first.
## Status
`0.1.0` — matches AICC protocol `aicc/0.1`. Alpha.
## Install
```bash
pip install aicc
```
Or from source:
```bash
git clone https://github.com/emil28092005/aicc-py
cd aicc-py
pip install -e ".[dev]"
```
## Minimal example
### Bridge side
```python
from aicc import Bridge
bridge = Bridge(name="capsule-room", kind="3d")
@bridge.tool(description="Get the agent's current position and rotation.")
async def proprioception() -> dict:
return {
"position": {"x": 1.0, "y": 0.5, "z": 2.0},
"rotation": {"yaw": 0.0, "pitch": 0.0},
"velocity": {"x": 0.0, "y": 0.0, "z": 0.0},
"health": 100,
}
@bridge.tool(description="Move the agent forward by the given distance in meters.")
async def move(forward: float = 0.0) -> dict:
# your physics / path-planning code here
return {"moved": forward}
from aicc.transport import WebSocketServer
async with WebSocketServer(bridge, port=8765):
await bridge.serve_forever()
```
### Client side
```python
import asyncio
from aicc import AICCClient
from aicc.transport import WebSocketClientTransport
async def main():
async with AICCClient(WebSocketClientTransport("ws://localhost:8765")) as client:
manifest = await client.handshake()
result = await client.call_tool("proprioception", {})
print(result.output)
asyncio.run(main())
```
### In-process (for tests and embedding)
```python
from aicc import Bridge, AICCClient
from aicc.transport import InProcessTransport
bridge = Bridge(name="test")
@bridge.tool(description="noop")
async def ping() -> dict:
return {"pong": True}
async with InProcessTransport(bridge) as transport:
client = AICCClient(transport)
manifest = await client.handshake()
result = await client.call_tool("ping", {})
assert result.output == {"pong": True}
```
## Architecture
```
aicc/
protocol.py # message types, envelope, errors (pydantic models)
client.py # AICCClient — agent side
bridge.py # Bridge — environment side, tool registration
tool.py # @tool decorator and tool metadata
schema.py # JSON Schema generation utilities
transport/
base.py # Transport interface
in_process.py # In-process transport (tests, embedded)
websocket.py # WebSocket transport (client + server)
```
## Development
```bash
pip install -e ".[dev]"
pytest
ruff check .
```
## License
MIT — see `LICENSE`.