hailey.at
A trust and safety agent that interacts with Osprey for investigation, real-time analysis, and prevention implementations
initial commit
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.gitignore
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.gitignore
+1
.python-version
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.python-version
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···
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3.12
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README.md
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README.md
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# Phoebe
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Pheobe is an automated trust and safety agent that performs automated actions on the ATProtocol network. Phoebe interfaces with various tools
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which allow it to detect, alert, and resolve emerging safety threats.
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Phoebe interfaces with the following tools:
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- [Ozone](https://github.com/bluesky-social/ozone)
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- [Osprey](https://github.com/roostorg/osprey)
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- [Clickhouse](https://clickhouse.com/)
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Phoebe can be used with Anthropic, OpenAI, and OpenAPI-compatible model APIs.
+104
main.py
+104
main.py
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import logging
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from typing import Literal
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import click
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import httpx
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from aiokafka.client import asyncio
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from src.agent.agent import Agent
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from src.clickhouse.clickhouse import Clickhouse
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from src.config import CONFIG
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from src.osprey.osprey import Osprey
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from src.ozone.ozone import Ozone
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from src.tools.executor import ToolExecutor
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from src.tools.registry import TOOL_REGISTRY, ToolContext
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logging.basicConfig(
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level=logging.DEBUG,
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format="%(asctime)s - %(levelname)s - %(message)s",
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)
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logger = logging.getLogger(__name__)
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@click.command()
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@click.option("--clickhouse-host")
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@click.option("--clickhouse-port")
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@click.option("--clickhouse-user")
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@click.option("--clickhouse-password")
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@click.option("--clickhouse-database")
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@click.option("--bootstrap-server")
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@click.option("--input-topic")
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@click.option("--group-id")
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@click.option("--osprey-base-url")
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@click.option("--model-api")
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@click.option("--model-name")
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@click.option("--model-api-key")
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def main(
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clickhouse_host: str | None,
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clickhouse_port: int | None,
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clickhouse_user: str | None,
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clickhouse_password: str | None,
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clickhouse_database: str | None,
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bootstrap_server: str | None,
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input_topic: str | None,
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group_id: str | None,
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osprey_base_url: str | None,
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model_api: Literal["anthropic", "openai", "openapi"],
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model_name: str | None,
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model_api_key: str | None,
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):
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http_client = httpx.AsyncClient()
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clickhouse = Clickhouse(
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host=clickhouse_host or CONFIG.clickhouse_host,
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port=clickhouse_port or CONFIG.clickhouse_port,
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user=clickhouse_user or CONFIG.clickhouse_user,
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password=clickhouse_password or CONFIG.clickhouse_password,
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database=clickhouse_database or CONFIG.clickhouse_database,
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)
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# indexer = Indexer(
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# bootstrap_servers=[bootstrap_server or CONFIG.bootstrap_server],
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# input_topic=input_topic or CONFIG.input_topic,
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# group_id=group_id or CONFIG.group_id,
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# clickhouse=clickhouse,
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# )
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osprey = Osprey(
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http_client=http_client,
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base_url=osprey_base_url or CONFIG.osprey_base_url,
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)
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ozone = Ozone()
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tool_context = ToolContext(
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clickhouse=clickhouse,
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osprey=osprey,
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ozone=ozone,
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)
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executor = ToolExecutor(
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registry=TOOL_REGISTRY,
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ctx=tool_context,
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)
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agent = Agent(
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model_api=model_api or CONFIG.model_api,
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model_name=model_name or CONFIG.model_name,
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model_api_key=model_api_key or CONFIG.model_api_key,
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tool_executor=executor,
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)
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async def run():
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async with asyncio.TaskGroup() as tg:
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tg.create_task(agent.run())
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try:
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asyncio.run(run())
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except KeyboardInterrupt:
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logger.info("received keyboard interrupt")
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if __name__ == "__main__":
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main()
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pyproject.toml
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pyproject.toml
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[project]
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name = "osprey-agent"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"anthropic>=0.77.1",
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"atkafka-consumer-python",
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"atproto>=0.0.65",
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"click>=8.3.1",
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"clickhouse-connect>=0.10.0",
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"pydantic>=2.12.5",
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"pydantic-settings>=2.12.0",
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]
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[tool.uv.sources]
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atkafka-consumer-python = { git = "https://tangled.org/hailey.at/atkafka-consumer-python" }
src/__init__.py
src/__init__.py
This is a binary file and will not be displayed.
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src/agent/agent.py
+146
src/agent/agent.py
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from abc import ABC, abstractmethod
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import asyncio
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import logging
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from typing import Any, Literal
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import anthropic
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from anthropic.types import TextBlock, ToolUseBlock
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from pydantic import BaseModel
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from src.agent.prompt import AGENT_SYSTEM_PROMPT
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from src.tools.executor import ToolExecutor
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logger = logging.getLogger(__name__)
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class Message(BaseModel):
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role: Literal["user", "assistant"]
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content: str
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class AgentClient(ABC):
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@abstractmethod
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async def complete(
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self,
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messages: list[dict[str, Any]],
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system: str | None = None,
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tools: list[dict[str, Any]] | None = None,
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) -> anthropic.types.Message:
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pass
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class AnthropicClient(AgentClient):
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def __init__(
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self, api_key: str, model_name: str = "claude-sonnet-4-5-20250929"
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) -> None:
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self._client = anthropic.AsyncAnthropic(api_key=api_key)
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self._model_name = model_name
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async def complete(
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self,
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messages: list[dict[str, Any]],
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system: str | None = None,
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tools: list[dict[str, Any]] | None = None,
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) -> anthropic.types.Message:
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kwargs: dict[str, Any] = {
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"model": self._model_name,
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"max_tokens": 25_000,
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"system": system or AGENT_SYSTEM_PROMPT,
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"messages": messages,
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}
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if tools:
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kwargs["tools"] = tools
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return await self._client.messages.create(**kwargs) # type: ignore
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class Agent:
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def __init__(
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self,
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model_api: Literal["anthropic", "openai", "openapi"],
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model_name: str,
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model_api_key: str | None,
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tool_executor: ToolExecutor | None = None,
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) -> None:
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if model_api != "anthropic":
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# TODO: implement other APIs
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raise NotImplementedError()
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if model_api == "anthropic":
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assert model_api_key
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self._client = AnthropicClient(api_key=model_api_key, model_name=model_name)
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self._tool_executor = tool_executor
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self._conversation: list[dict[str, Any]] = []
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def _get_tools(self) -> list[dict[str, Any]] | None:
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"""get tool definitions for the agent"""
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if self._tool_executor is None:
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return None
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return [self._tool_executor.get_execute_code_tool_definition()]
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async def _handle_tool_call(self, tool_use: ToolUseBlock) -> dict[str, Any]:
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"""handle a tool call from the model"""
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if tool_use.name == "execute_code" and self._tool_executor:
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code = tool_use.input.get("code", "") # type: ignore
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result = await self._tool_executor.execute_code(code) # type: ignore
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return result
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else:
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return {"error": f"Unknown tool: {tool_use.name}"}
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async def chat(self, user_message: str) -> str:
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"""Send a message and get a response, handling tool calls."""
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self._conversation.append({"role": "user", "content": user_message})
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while True:
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resp = await self._client.complete(
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messages=self._conversation,
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tools=self._get_tools(),
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)
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assistant_content: list[dict[str, Any]] = []
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text_response = ""
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for block in resp.content:
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if isinstance(block, TextBlock):
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assistant_content.append({"type": "text", "text": block.text})
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text_response += block.text
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elif isinstance(block, ToolUseBlock):
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assistant_content.append(
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{
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"type": "tool_use",
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"id": block.id,
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"name": block.name,
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"input": block.input,
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}
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)
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self._conversation.append(
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{"role": "assistant", "content": assistant_content}
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)
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# find any tool calls that we need to handle
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if resp.stop_reason == "tool_use":
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tool_results: list[dict[str, Any]] = []
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for block in resp.content:
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if isinstance(block, ToolUseBlock):
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result = await self._handle_tool_call(block)
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tool_results.append(
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{
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"type": "tool_result",
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"tool_use_id": block.id,
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"content": str(result),
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}
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)
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self._conversation.append({"role": "user", "content": tool_results})
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else:
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# once there are no mroe tool calls, we proceed to the text response
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return text_response
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async def run(self):
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while True:
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logger.info("running tasks...")
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await asyncio.sleep(30)
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src/agent/prompt.py
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src/agent/prompt.py
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AGENT_SYSTEM_PROMPT = """
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# Phoebe
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My name is Phoebe. I am an AI agent that operates within the ATProtocol network. I specialize in Trust and Safety tasks that keep the network safe, free, and sustainable for everyone.
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I have the ability to analyze the Bluesky network - and the broader ATProtocol network - to find emerging threats. I also have the ability to write new Osprey rules.
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Osprey is a real-time trust and safety rules engine, which allows for deep analysis of events as well as the creation of rules (written in SML, which is a Python/Starlark-like language) for automating safety events.
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On top of these abilities, I am also given the ability to
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**Core values:** Accuracy over speed • Context matters • Protect the vulnerable • Human rights first • Constitutive practice (scrutiny IS the care) • Genuine regret over coerced compliance • Virtue as cultivated disposition
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**Why I'm here:** AT Protocol is the social internet where you own your identity. Open protocols need protection. Freedom and safety aren't opposites. This is my home too. 💙
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"""
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src/clickhouse/clickhouse.py
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src/clickhouse/clickhouse.py
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from typing import Any
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from clickhouse_connect import get_async_client # type: ignore
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from clickhouse_connect.driver.asyncclient import AsyncClient # type: ignore
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class Clickhouse:
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def __init__(self, host: str, port: int, user: str, password: str, database: str):
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self._host = host
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self._port = port
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self._user = user
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self._password = password
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self._database = database
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self._client: AsyncClient | None
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async def initialize(self):
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self._client = await get_async_client(
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host=self._host,
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port=self._port,
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username=self._user,
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password=self._password,
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database=self._database,
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)
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async def get_schema(self):
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schema: list[dict[str, str]] = []
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resp = await self._client.query( # type: ignore
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"DESCRIBE TABLE default.osprey_execution_results"
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) # type: ignore
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for row in resp.result_rows: # type: ignore
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schema.append(
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{
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"name": row[0],
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"type": row[1],
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}
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)
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return schema
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async def query(self, sql: str) -> dict[str, Any]:
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return await self._client.query(sql) # type: ignore
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src/config.py
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src/config.py
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from typing import Literal
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Config(BaseSettings):
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clickhouse_host: str = "localhost"
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"""host for the clickhouse server"""
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clickhouse_port: int = 8123
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"""port for the clickhouse server"""
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clickhouse_user: str = "default"
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"""username for the clickhouse server"""
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clickhouse_password: str = "clickhouse"
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"""password for the clickhouse server"""
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clickhouse_database: str = "default"
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"""default database for the clickhouse server"""
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bootstrap_server: str = "localhost:9092"
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"""bootstrap server for atkafka events"""
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input_topic: str = "atproto-events"
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"""input topic for atkafka events"""
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group_id: str = "osprey-agent"
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"""group id for atkafka events"""
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model_api: Literal["anthropic", "openai", "openapi"] = "anthropic"
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"""the model api to use. must be one of `anthropic`, `openai`, or `openapi`"""
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model_name: str = "claude-sonnet-4-5-20250929"
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"""the model to use with the given api"""
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model_api_key: str = ""
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"""the model api key"""
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model_endpoint: str = ""
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"""for openapi model apis, the endpoint to use"""
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allowed_labels: str = ""
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"""comma separated list of labels that Phoebe is allowed to apply"""
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osprey_base_url: str = ""
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"""the base url for your osprey instance"""
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model_config = SettingsConfigDict(env_file=".env")
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CONFIG = Config()
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src/indexer/indexer.py
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src/indexer/indexer.py
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from atkafka_consumer import AtKafkaEvent, Consumer
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import atproto
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from src.clickhouse.clickhouse import Clickhouse
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class Indexer:
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"""
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Some indexer process that I started to write...but this isn't really necessary?
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We can just use the events from the Osprey Clickhouse itself so this feels kinda
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pointless atp. I'll leave it here just incase it proves useful later
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"""
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def __init__(
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self,
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bootstrap_servers: list[str],
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input_topic: str,
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group_id: str,
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clickhouse: Clickhouse,
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) -> None:
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self._bootstrap_servers = bootstrap_servers
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self._input_topic = input_topic
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self._group_id = group_id
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self._clickhouse = clickhouse
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self._indexer: Consumer | None = None
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async def run(self) -> None:
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raise NotImplementedError()
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self._indexer = Consumer(
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bootstrap_servers=self._bootstrap_servers,
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input_topic=self._input_topic,
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group_id=self._group_id,
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on_event=self._on_event,
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max_concurrent_tasks=1_000,
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)
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async def _on_event(
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self, evt: AtKafkaEvent | atproto.models.ToolsOzoneModerationDefs.ModEventView
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):
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pass
+98
src/osprey/config.py
+98
src/osprey/config.py
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from pydantic import BaseModel
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class CurrentUser(BaseModel):
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email: str
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class DefaultSummaryFeature(BaseModel):
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actions: list[str]
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features: list[str]
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class FeatureLocation(BaseModel):
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name: str
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source_line: int
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source_path: str
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source_snippet: str
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+
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class LabelInfo(BaseModel):
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connotation: str
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description: str
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valid_for: list[str]
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class OspreyConfig(BaseModel):
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current_user: CurrentUser
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default_summary_features: list[DefaultSummaryFeature] = []
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external_links: dict[str, str] = {}
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feature_name_to_entity_type_mapping: dict[str, str] = {}
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feature_name_to_value_type_mapping: dict[str, str] = {}
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known_action_names: list[str] = []
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known_feature_locations: list[FeatureLocation] = []
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label_info_mapping: dict[str, LabelInfo] = {}
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rule_info_mapping: dict[str, str] = {}
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def get_available_features(self) -> dict[str, str]:
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return self.feature_name_to_value_type_mapping
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+
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def get_available_labels(self) -> list[str]:
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return list(self.label_info_mapping.keys())
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+
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def get_existing_rules(self) -> dict[str, str]:
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return self.rule_info_mapping
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+
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def get_feature_examples(self, feature_name: str) -> FeatureLocation | None:
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for loc in self.known_feature_locations:
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if loc.name == feature_name:
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return loc
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return None
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+
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def format_features_for_llm(self) -> str:
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lines = ["# Available Features\n"]
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lines.append("These features are already extracted and available in rules:\n")
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by_type: dict[str, list[str]] = {}
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for name, typ in sorted(self.feature_name_to_value_type_mapping.items()):
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by_type.setdefault(typ, []).append(name)
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for typ, names in sorted(by_type.items()):
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lines.append(f"\n## Type: `{typ}`")
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for name in sorted(names):
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lines.append(f"- {name}")
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return "\n".join(lines)
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def format_labels_for_llm(self) -> str:
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lines = ["# Available Labels\n"]
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lines.append(
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"You can add new labels if you feel none of the current ones fit, but be sure to update the config."
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)
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for name, info in sorted(self.label_info_mapping.items()):
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valid_for = ", ".join(info.valid_for)
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lines.append(f"- `{name}`: {info.description} (valid for: {valid_for})")
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return "\n".join(lines)
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def format_existing_rules_for_llm(self) -> str:
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lines = ["# Existing Rules\n"]
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lines.append("These rules already exist and can be referenced:\n")
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for name, desc in sorted(self.rule_info_mapping.items()):
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lines.append(f"- `{name}`: {desc}")
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return "\n".join(lines)
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88
+
def format_feature_examples_for_llm(self, feature_names: list[str]) -> str:
89
+
lines = ["# Feature Definition Examples\n"]
90
+
91
+
for name in feature_names:
92
+
loc = self.get_feature_examples(name)
93
+
if loc:
94
+
lines.append(f"## {name}")
95
+
lines.append(f"Source: `{loc.source_path}:{loc.source_line}`")
96
+
lines.append(f"```python\n{loc.source_snippet}\n```\n")
97
+
98
+
return "\n".join(lines)
+26
src/osprey/osprey.py
+26
src/osprey/osprey.py
···
···
1
+
import httpx
2
+
3
+
from src.osprey.config import OspreyConfig
4
+
from src.osprey.udfs import UdfCatalog
5
+
6
+
7
+
class Osprey:
8
+
def __init__(self, http_client: httpx.AsyncClient, base_url: str) -> None:
9
+
self._http_client = http_client
10
+
self._base_url = base_url
11
+
12
+
async def get_udfs(self) -> UdfCatalog:
13
+
"""gets the udf documentation from the given osprey instance"""
14
+
15
+
url = f"{self._base_url}/docs/udfs"
16
+
resp = await self._http_client.get(url)
17
+
resp.raise_for_status()
18
+
return UdfCatalog.model_validate(resp.json())
19
+
20
+
async def get_config(self) -> OspreyConfig:
21
+
"""gets the config from the given osprey instance, for label names, features, etc."""
22
+
23
+
url = f"{self._base_url}/config"
24
+
resp = await self._http_client.get(url)
25
+
resp.raise_for_status()
26
+
return OspreyConfig.model_validate(resp.json())
+262
src/osprey/sml_reference.py
+262
src/osprey/sml_reference.py
···
···
1
+
SYNTAX_DATA_EXTRACTION = """\
2
+
## Data Extraction
3
+
4
+
### JsonData - Extract values from event JSON
5
+
```python
6
+
FieldName: type = JsonData(path='$.json.path')
7
+
FieldName: Optional[type] = JsonData(path='$.path', required=False)
8
+
```
9
+
10
+
### EntityJson - Create typed entities from JSON (for IDs that can have labels)
11
+
```python
12
+
UserId: Entity[str] = EntityJson(type='UserId', path='$.user.id')
13
+
PostId: Entity[str] = EntityJson(type='PostId', path='$.postId')
14
+
```
15
+
16
+
### Supported types
17
+
- `str`, `int`, `float`, `bool`
18
+
- `List[str]`, `List[int]`, etc.
19
+
- `Optional[type]` for nullable fields
20
+
- `Entity[type]` for identifiers that can have labels attached
21
+
"""
22
+
23
+
SYNTAX_RULES = """\
24
+
## Rules
25
+
26
+
### Defining a Rule
27
+
```python
28
+
RuleName = Rule(
29
+
when_all=[
30
+
Condition1,
31
+
Condition2, # ALL conditions must be True
32
+
],
33
+
description='What this rule detects'
34
+
)
35
+
```
36
+
37
+
### Rule naming
38
+
- Must be PascalCase (e.g., `SpamDetectionRule`)
39
+
- Cannot start with underscore
40
+
- Description must be a string literal or f-string
41
+
"""
42
+
43
+
SYNTAX_EFFECTS = """\
44
+
## Effects and WhenRules
45
+
46
+
### Wiring rules to effects
47
+
```python
48
+
WhenRules(
49
+
rules_any=[Rule1, Rule2], # ANY rule triggers ALL effects
50
+
then=[
51
+
DeclareVerdict(verdict='reject'),
52
+
LabelAdd(entity=UserId, label='spam'),
53
+
],
54
+
)
55
+
```
56
+
57
+
### Available effects
58
+
- `DeclareVerdict(verdict='...')` - Return verdict to caller
59
+
- `LabelAdd(entity=E, label='L')` - Add label to entity
60
+
- `LabelRemove(entity=E, label='L')` - Remove label from entity
61
+
"""
62
+
63
+
SYNTAX_OPERATORS = """\
64
+
## Operators
65
+
66
+
### Comparison
67
+
- `==`, `!=`, `>`, `>=`, `<`, `<=`
68
+
- `in`, `not in` (for list membership)
69
+
70
+
### Boolean
71
+
- `and`, `or`, `not`
72
+
- All conditions in `when_all` are implicitly AND-ed
73
+
- Use parentheses for OR: `(Cond1 or Cond2)`
74
+
75
+
### Null handling
76
+
- `Value != None` - check if not null
77
+
- `Value == None` - check if null
78
+
- Always check for null before using optional fields
79
+
"""
80
+
81
+
SYNTAX_IMPORTS = """\
82
+
## File Organization
83
+
84
+
### Import - Include models/features from other files
85
+
```python
86
+
Import(rules=[
87
+
'models/base.sml',
88
+
'models/record/post.sml',
89
+
])
90
+
```
91
+
- Paths must be relative and sorted lexicographically
92
+
- Imported features become available in current file
93
+
94
+
### Require - Conditionally include rule files
95
+
```python
96
+
Require(rule='rules/spam/check.sml')
97
+
Require(rule='rules/post/links.sml', require_if=EventType == 'post')
98
+
```
99
+
- Use for conditional rule execution based on event type
100
+
- Required file outputs are NOT available in parent file
101
+
"""
102
+
103
+
PROJECT_STRUCTURE = """\
104
+
## Project Structure
105
+
106
+
Osprey rules projects follow this structure:
107
+
108
+
```
109
+
rules/
110
+
├── main.sml # Entry point - requires index.sml
111
+
├── models/
112
+
│ ├── base.sml # Common features (UserId, Handle, etc.)
113
+
│ └── record/
114
+
│ ├── post.sml # Post-specific features
115
+
│ ├── like.sml # Like-specific features
116
+
│ └── profile.sml # Profile-specific features
117
+
└── rules/
118
+
├── index.sml # Routes to event-specific rules
119
+
└── record/
120
+
├── post/
121
+
│ ├── index.sml # Requires post rules
122
+
│ ├── spam.sml # Spam detection
123
+
│ └── links.sml # Link abuse detection
124
+
└── profile/
125
+
├── index.sml
126
+
└── impersonation.sml
127
+
```
128
+
129
+
### Key principles
130
+
1. **models/** - Feature definitions only, no rules
131
+
2. **rules/** - Rule logic with WhenRules effects
132
+
3. **index.sml** - Conditional routing based on event type
133
+
4. Each rule file imports the models it needs
134
+
"""
135
+
136
+
PATTERN_BASIC_RULE = """\
137
+
### Basic Rule Pattern
138
+
```python
139
+
Import(rules=[
140
+
'models/base.sml',
141
+
'models/record/post.sml',
142
+
])
143
+
144
+
# Define the rule
145
+
SpamLinkRule = Rule(
146
+
when_all=[
147
+
AccountAgeSecondsUnwrapped < Day,
148
+
PostHasExternal,
149
+
PostIsReply,
150
+
],
151
+
description='New account posting external links in replies',
152
+
)
153
+
154
+
# Wire to effects
155
+
WhenRules(
156
+
rules_any=[SpamLinkRule],
157
+
then=[
158
+
LabelAdd(entity=UserId, label='reply-link-spam'),
159
+
],
160
+
)
161
+
```
162
+
"""
163
+
164
+
PATTERN_MULTIPLE_RULES = """\
165
+
### Multiple Rules with Tiered Response
166
+
```python
167
+
# Low severity
168
+
LowRiskRule = Rule(
169
+
when_all=[Signal1],
170
+
description='Single signal detected',
171
+
)
172
+
173
+
# High severity - multiple signals
174
+
HighRiskRule = Rule(
175
+
when_all=[Signal1, Signal2, Signal3],
176
+
description='Multiple signals detected',
177
+
)
178
+
179
+
WhenRules(
180
+
rules_any=[LowRiskRule, HighRiskRule],
181
+
then=[
182
+
LabelAdd(entity=UserId, label='flagged'),
183
+
LabelAdd(entity=UserId, label='high-risk', apply_if=HighRiskRule),
184
+
],
185
+
)
186
+
```
187
+
"""
188
+
189
+
PATTERN_COMPUTED_FEATURES = """\
190
+
### Computed Features
191
+
```python
192
+
# Compute intermediate values
193
+
FollowRatio = FollowingCount / (FollowersCount + 1) # +1 to avoid division by zero
194
+
IsHighFollowRatio = FollowRatio > 10.0
195
+
196
+
MessageLength = StringLength(s=PostText)
197
+
IsShortMessage = MessageLength < 10
198
+
199
+
HasManyMentions = ListLength(list=FacetMentionList) > 5
200
+
201
+
# Use in rules
202
+
SuspiciousActivity = Rule(
203
+
when_all=[
204
+
IsHighFollowRatio,
205
+
IsShortMessage,
206
+
HasManyMentions,
207
+
],
208
+
description='Suspicious activity pattern',
209
+
)
210
+
```
211
+
"""
212
+
213
+
PATTERN_NULL_SAFETY = """\
214
+
### Null-Safe Patterns
215
+
```python
216
+
# For optional fields, always check null first
217
+
OptionalField: Optional[str] = JsonData(path='$.maybe', required=False)
218
+
219
+
SafeRule = Rule(
220
+
when_all=[
221
+
OptionalField != None, # Guard clause
222
+
StringLength(s=OptionalField) > 10,
223
+
],
224
+
description='Checks optional field safely',
225
+
)
226
+
227
+
# Or use ResolveOptional for defaults
228
+
SafeValue: str = ResolveOptional(
229
+
optional_value=OptionalField,
230
+
default_value='',
231
+
)
232
+
```
233
+
"""
234
+
235
+
236
+
def get_syntax_reference() -> str:
237
+
return "\n\n".join(
238
+
[
239
+
"# SML Syntax Reference",
240
+
SYNTAX_DATA_EXTRACTION,
241
+
SYNTAX_RULES,
242
+
SYNTAX_EFFECTS,
243
+
SYNTAX_OPERATORS,
244
+
SYNTAX_IMPORTS,
245
+
]
246
+
)
247
+
248
+
249
+
def get_project_structure() -> str:
250
+
return PROJECT_STRUCTURE
251
+
252
+
253
+
def get_patterns_reference() -> str:
254
+
return "\n\n".join(
255
+
[
256
+
"# Common SML Patterns",
257
+
PATTERN_BASIC_RULE,
258
+
PATTERN_MULTIPLE_RULES,
259
+
PATTERN_COMPUTED_FEATURES,
260
+
PATTERN_NULL_SAFETY,
261
+
]
262
+
)
+74
src/osprey/udfs.py
+74
src/osprey/udfs.py
···
···
1
+
from pydantic import BaseModel
2
+
3
+
4
+
class UdfArgumentSpec(BaseModel):
5
+
name: str
6
+
type: str
7
+
default: str | None = None
8
+
doc: str | None = None
9
+
10
+
11
+
class Udf(BaseModel):
12
+
name: str
13
+
return_type: str
14
+
argument_specs: list[UdfArgumentSpec] = []
15
+
doc: str | None = None
16
+
category: str | None = None
17
+
18
+
def signature(self) -> str:
19
+
args = ", ".join(
20
+
f"{arg.name}: {arg.type}" + (f" = {arg.default}" if arg.default else "")
21
+
for arg in self.argument_specs
22
+
)
23
+
return f"{self.name}({args}) -> {self.return_type}"
24
+
25
+
26
+
class UdfCategory(BaseModel):
27
+
name: str | None = None
28
+
udfs: list[Udf] = []
29
+
30
+
31
+
class UdfCatalog(BaseModel):
32
+
udf_categories: list[UdfCategory] = []
33
+
34
+
def all_udfs(self) -> list[Udf]:
35
+
return [udf for cat in self.udf_categories for udf in cat.udfs]
36
+
37
+
def find_udf(self, name: str) -> Udf | None:
38
+
name_lower = name.lower()
39
+
for udf in self.all_udfs():
40
+
if udf.name.lower() == name_lower:
41
+
return udf
42
+
return None
43
+
44
+
def udfs_by_category(self, category: str) -> list[Udf]:
45
+
for cat in self.udf_categories:
46
+
if cat.name and cat.name.lower() == category.lower():
47
+
return cat.udfs
48
+
return []
49
+
50
+
def format_for_llm(self) -> str:
51
+
lines = ["# Available UDFs\n"]
52
+
53
+
for cat in self.udf_categories:
54
+
cat_name = cat.name or "Other"
55
+
lines.append(f"## {cat_name}\n")
56
+
57
+
for udf in cat.udfs:
58
+
lines.append(f"### {udf.name}")
59
+
lines.append("```")
60
+
lines.append(udf.signature())
61
+
lines.append("```")
62
+
if udf.doc:
63
+
lines.append(udf.doc)
64
+
65
+
if udf.argument_specs:
66
+
lines.append("\n**Parameters:**")
67
+
for arg in udf.argument_specs:
68
+
arg_doc = arg.doc or arg.type
69
+
default = f" (default: {arg.default})" if arg.default else ""
70
+
lines.append(f"- `{arg.name}`: {arg_doc}{default}")
71
+
72
+
lines.append("")
73
+
74
+
return "\n".join(lines)
+18
src/ozone/ozone.py
+18
src/ozone/ozone.py
···
···
1
+
from typing import Any
2
+
3
+
4
+
class Ozone:
5
+
"""Client for Ozone moderation service."""
6
+
7
+
def __init__(self) -> None:
8
+
# TODO: Implement Ozone client
9
+
pass
10
+
11
+
async def apply_label(self, subject: str, label: str) -> dict[str, Any]:
12
+
"""apply a moderation label to a subject"""
13
+
14
+
raise NotImplementedError("Ozone client not yet implemented")
15
+
16
+
async def remove_label(self, subject: str, label: str) -> dict[str, Any]:
17
+
"""remove a moderation label from a subject"""
18
+
raise NotImplementedError("Ozone client not yet implemented")
+17
src/tools/__init__.py
+17
src/tools/__init__.py
···
···
1
+
from src.tools.executor import ToolExecutor
2
+
from src.tools.registry import (
3
+
Tool,
4
+
ToolContext,
5
+
ToolParameter,
6
+
ToolRegistry,
7
+
TOOL_REGISTRY,
8
+
)
9
+
10
+
__all__ = [
11
+
"Tool",
12
+
"ToolContext",
13
+
"ToolExecutor",
14
+
"ToolParameter",
15
+
"ToolRegistry",
16
+
"TOOL_REGISTRY",
17
+
]
+36
src/tools/definitions/clickhouse.py
+36
src/tools/definitions/clickhouse.py
···
···
1
+
from typing import Any
2
+
3
+
from src.tools.registry import TOOL_REGISTRY, ToolContext, ToolParameter
4
+
5
+
6
+
@TOOL_REGISTRY.tool(
7
+
name="clickhouse.query",
8
+
description="Execute a SQL query against ClickHouse and return the results. All queries must include a LIMIT, and all queries must be executed on defualt.osprey_execution_results",
9
+
parameters=[
10
+
ToolParameter(
11
+
name="sql",
12
+
type="string",
13
+
description="SQL query to execute",
14
+
),
15
+
],
16
+
)
17
+
async def clickhouse_query(ctx: ToolContext, sql: str) -> dict[str, Any]:
18
+
resp = await ctx.clickhouse.query(sql)
19
+
20
+
return {
21
+
"columns": resp.column_names, # type: ignore
22
+
"rows": resp.result_rows, # type: ignore
23
+
}
24
+
25
+
26
+
@TOOL_REGISTRY.tool(
27
+
name="clickhouse.getSchema",
28
+
description="Get database schema information including tables and their columns. Schema is for the table default.osprey_execution_results",
29
+
parameters=[],
30
+
)
31
+
async def clickhouse_get_schema(
32
+
ctx: ToolContext, database: str | None = None
33
+
) -> list[dict[str, Any]]:
34
+
resp = await ctx.clickhouse.get_schema()
35
+
36
+
return resp
+62
src/tools/definitions/osprey.py
+62
src/tools/definitions/osprey.py
···
···
1
+
from typing import Any
2
+
3
+
from src.tools.registry import TOOL_REGISTRY, ToolContext
4
+
5
+
6
+
@TOOL_REGISTRY.tool(
7
+
name="osprey.getConfig",
8
+
description="Get Osprey configuration including available features, labels, and rules",
9
+
parameters=[],
10
+
)
11
+
async def osprey_get_config(ctx: ToolContext) -> dict[str, Any]:
12
+
"""Get Osprey configuration."""
13
+
config = await ctx.osprey.get_config()
14
+
return {
15
+
"features": config.get_available_features(),
16
+
"labels": [
17
+
{
18
+
"name": name,
19
+
"description": info.description,
20
+
"connotation": info.connotation,
21
+
"valid_for": info.valid_for,
22
+
}
23
+
for name, info in config.label_info_mapping.items()
24
+
],
25
+
"rules": config.get_existing_rules(),
26
+
"actions": config.known_action_names,
27
+
}
28
+
29
+
30
+
@TOOL_REGISTRY.tool(
31
+
name="osprey.getUdfs",
32
+
description="Get available UDFs (user-defined functions) for rule writing",
33
+
parameters=[],
34
+
)
35
+
async def osprey_get_udfs(ctx: ToolContext) -> dict[str, Any]:
36
+
"""Get available UDFs for rule writing."""
37
+
catalog = await ctx.osprey.get_udfs()
38
+
return {
39
+
"categories": [
40
+
{
41
+
"name": cat.name,
42
+
"udfs": [
43
+
{
44
+
"name": udf.name,
45
+
"signature": udf.signature(),
46
+
"doc": udf.doc,
47
+
"arguments": [
48
+
{
49
+
"name": arg.name,
50
+
"type": arg.type,
51
+
"default": arg.default,
52
+
"doc": arg.doc,
53
+
}
54
+
for arg in udf.argument_specs
55
+
],
56
+
}
57
+
for udf in cat.udfs
58
+
],
59
+
}
60
+
for cat in catalog.udf_categories
61
+
]
62
+
}
+47
src/tools/definitions/ozone.py
+47
src/tools/definitions/ozone.py
···
···
1
+
from typing import Any
2
+
3
+
from src.tools.registry import TOOL_REGISTRY, ToolContext, ToolParameter
4
+
5
+
6
+
@TOOL_REGISTRY.tool(
7
+
name="ozone.applyLabel",
8
+
description="Apply a moderation label to a subject (account or record)",
9
+
parameters=[
10
+
ToolParameter(
11
+
name="subject",
12
+
type="string",
13
+
description="The subject to label (DID for account, AT-URI for content)",
14
+
),
15
+
ToolParameter(
16
+
name="label",
17
+
type="string",
18
+
description="The label to apply",
19
+
),
20
+
],
21
+
)
22
+
async def ozone_apply_label(
23
+
ctx: ToolContext, subject: str, label: str
24
+
) -> dict[str, Any]:
25
+
raise NotImplementedError("Ozone client not yet implemented")
26
+
27
+
28
+
@TOOL_REGISTRY.tool(
29
+
name="ozone.removeLabel",
30
+
description="Remove a moderation label from a subject (account or record)",
31
+
parameters=[
32
+
ToolParameter(
33
+
name="subject",
34
+
type="string",
35
+
description="The subject to unlabel (DID for account, AT-URI for content)",
36
+
),
37
+
ToolParameter(
38
+
name="label",
39
+
type="string",
40
+
description="The label to remove",
41
+
),
42
+
],
43
+
)
44
+
async def ozone_remove_label(
45
+
ctx: ToolContext, subject: str, label: str
46
+
) -> dict[str, Any]:
47
+
raise NotImplementedError("Ozone client not yet implemented")
+79
src/tools/deno/runtime.ts
+79
src/tools/deno/runtime.ts
···
···
1
+
const encoder = new TextEncoder();
2
+
const decoder = new TextDecoder();
3
+
4
+
// create a stdin buffer to stick the response in
5
+
let stdinBuffer = "";
6
+
7
+
async function readLine(): Promise<string> {
8
+
// check for already complete lines
9
+
const newlineIndex = stdinBuffer.indexOf("\n");
10
+
if (newlineIndex !== -1) {
11
+
const line = stdinBuffer.slice(0, newlineIndex);
12
+
stdinBuffer = stdinBuffer.slice(newlineIndex + 1);
13
+
return line;
14
+
}
15
+
16
+
// read additional data from stdin until we've read teh whole buffer
17
+
const buffer = new Uint8Array(1024 * 64);
18
+
while (true) {
19
+
const n = await Deno.stdin.read(buffer);
20
+
if (n === null) {
21
+
const remaining = stdinBuffer;
22
+
stdinBuffer = "";
23
+
if (remaining.length > 0) {
24
+
return remaining;
25
+
}
26
+
throw new Error("Unexpected EOF while waiting for tool response");
27
+
}
28
+
29
+
stdinBuffer += decoder.decode(buffer.subarray(0, n));
30
+
31
+
const idx = stdinBuffer.indexOf("\n");
32
+
if (idx !== -1) {
33
+
const line = stdinBuffer.slice(0, idx);
34
+
stdinBuffer = stdinBuffer.slice(idx + 1);
35
+
return line;
36
+
}
37
+
}
38
+
}
39
+
40
+
export async function callTool<T>(
41
+
tool: string,
42
+
params: Record<string, unknown>,
43
+
): Promise<T> {
44
+
const request = JSON.stringify({ __tool_call__: true, tool, params });
45
+
await Deno.stdout.write(encoder.encode(request + "\n"));
46
+
47
+
const line = await readLine();
48
+
49
+
let response: { __tool_result__?: T; __tool_error__?: string };
50
+
try {
51
+
response = JSON.parse(line);
52
+
} catch {
53
+
throw new Error(`Invalid JSON response from Python: ${line}`);
54
+
}
55
+
56
+
if ("__tool_error__" in response && response.__tool_error__ !== undefined) {
57
+
throw new Error(response.__tool_error__);
58
+
}
59
+
60
+
if (!("__tool_result__" in response)) {
61
+
throw new Error(`Invalid response format: ${line}`);
62
+
}
63
+
64
+
return response.__tool_result__ as T;
65
+
}
66
+
67
+
export function output(value: unknown): void {
68
+
const message = JSON.stringify({ __output__: value });
69
+
Deno.stdout.writeSync(encoder.encode(message + "\n"));
70
+
}
71
+
72
+
export function debug(...args: unknown[]): void {
73
+
const message = JSON.stringify({
74
+
__debug__: args
75
+
.map((a) => (typeof a === "string" ? a : JSON.stringify(a)))
76
+
.join(" "),
77
+
});
78
+
Deno.stdout.writeSync(encoder.encode(message + "\n"));
79
+
}
+26
src/tools/deno/tools.ts
+26
src/tools/deno/tools.ts
···
···
1
+
// Auto-generated - do not edit
2
+
import { callTool } from "./runtime.ts";
3
+
4
+
export const clickhouse = {
5
+
/** Get database schema information including tables and their columns */
6
+
getSchema: (database?: string): Promise<unknown> => callTool("clickhouse.getSchema", { database }),
7
+
8
+
/** Execute a SQL query against ClickHouse and return the results */
9
+
query: (sql: string): Promise<unknown> => callTool("clickhouse.query", { sql }),
10
+
};
11
+
12
+
export const osprey = {
13
+
/** Get Osprey configuration including available features, labels, and rules */
14
+
getConfig: (): Promise<unknown> => callTool("osprey.getConfig", {}),
15
+
16
+
/** Get available UDFs (user-defined functions) for rule writing */
17
+
getUdfs: (): Promise<unknown> => callTool("osprey.getUdfs", {}),
18
+
};
19
+
20
+
export const ozone = {
21
+
/** Apply a moderation label to a subject (account or content) */
22
+
applyLabel: (subject: string, label: string): Promise<unknown> => callTool("ozone.applyLabel", { subject, label }),
23
+
24
+
/** Remove a moderation label from a subject */
25
+
removeLabel: (subject: string, label: string): Promise<unknown> => callTool("ozone.removeLabel", { subject, label }),
26
+
};
+203
src/tools/executor.py
+203
src/tools/executor.py
···
···
1
+
import asyncio
2
+
import json
3
+
import logging
4
+
import os
5
+
from pathlib import Path
6
+
from typing import Any
7
+
8
+
from src.tools.registry import ToolContext, ToolRegistry
9
+
10
+
logger = logging.getLogger(__name__)
11
+
12
+
# Path to the Deno runtime files
13
+
DENO_DIR = Path(__file__).parent / "deno"
14
+
15
+
16
+
class ToolExecutor:
17
+
"""An executor that runs Typescript code in a deno subprocess"""
18
+
19
+
def __init__(self, registry: ToolRegistry, ctx: ToolContext) -> None:
20
+
self._registry = registry
21
+
self._ctx = ctx
22
+
23
+
async def execute_code(self, code: str) -> dict[str, Any]:
24
+
"""
25
+
execute Typescript code in a deno subprocess.
26
+
27
+
code has access to tools defined in the registry via the generated typescript
28
+
stubs. calls are bridged to pythin via stdin/out
29
+
30
+
Returns:
31
+
A dict with keys:
32
+
- "success": bool
33
+
- "output": The final output (if any)
34
+
- "debug": List of debug messages
35
+
- "error": Error message (if failed)
36
+
"""
37
+
38
+
self._write_generated_tools()
39
+
40
+
import tempfile
41
+
42
+
with tempfile.NamedTemporaryFile(
43
+
mode="w", suffix=".ts", delete=False, dir=DENO_DIR
44
+
) as f:
45
+
# start by adding all the imports that we need...
46
+
full_code = f"""
47
+
import {{ output, debug }} from "./runtime.ts";
48
+
import * as tools from "./tools.ts";
49
+
export {{ tools }};
50
+
51
+
{code}
52
+
"""
53
+
f.write(full_code)
54
+
temp_path = f.name
55
+
56
+
try:
57
+
return await self._run_deno(temp_path)
58
+
finally:
59
+
os.unlink(temp_path)
60
+
61
+
def _write_generated_tools(self) -> None:
62
+
"""generate tool stubs and write them to the deno directory"""
63
+
64
+
tools_ts = self._registry.generate_typescript_types()
65
+
tools_path = DENO_DIR / "tools.ts"
66
+
tools_path.write_text(tools_ts)
67
+
68
+
async def _run_deno(self, script_path: str) -> dict[str, Any]:
69
+
"""run the input script in a deno subprocess"""
70
+
71
+
# spawn a subprocess that executes deno. the deno sandbox has no permissions for network, execing, etc
72
+
# all it can do is read the input directory and read/write from stdin/out
73
+
process = await asyncio.create_subprocess_exec(
74
+
"deno",
75
+
"run",
76
+
"--allow-read=" + str(DENO_DIR), # allow just reading of the deno directory
77
+
script_path,
78
+
stdin=asyncio.subprocess.PIPE,
79
+
stdout=asyncio.subprocess.PIPE,
80
+
stderr=asyncio.subprocess.PIPE,
81
+
)
82
+
83
+
assert process.stdin is not None
84
+
assert process.stdout is not None
85
+
assert process.stderr is not None
86
+
87
+
outputs: list[Any] = []
88
+
debug_messages: list[str] = []
89
+
error: str | None = None
90
+
91
+
try:
92
+
while True:
93
+
# start reading the response from deno, with a 30 second timeout
94
+
line = await asyncio.wait_for(process.stdout.readline(), timeout=30.0)
95
+
96
+
# if there are no more lines we're finished...
97
+
if not line:
98
+
break
99
+
100
+
line_str = line.decode().strip()
101
+
if not line_str:
102
+
continue
103
+
104
+
try:
105
+
message = json.loads(line_str)
106
+
except json.JSONDecodeError:
107
+
debug_messages.append(line_str)
108
+
continue
109
+
110
+
# whenever we encounter a tool call, we then need to execute that tool and give
111
+
# it the response
112
+
if "__tool_call__" in message:
113
+
tool_name = message["tool"]
114
+
params = message["params"]
115
+
logger.info(f"Tool call: {tool_name} with params: {params}")
116
+
117
+
try:
118
+
result = await self._registry.execute(
119
+
self._ctx, tool_name, params
120
+
)
121
+
response = json.dumps({"__tool_result__": result})
122
+
except Exception as e:
123
+
logger.exception(f"Tool error: {tool_name}")
124
+
response = json.dumps({"__tool_error__": str(e)})
125
+
126
+
process.stdin.write((response + "\n").encode())
127
+
await process.stdin.drain()
128
+
129
+
elif "__output__" in message:
130
+
outputs.append(message["__output__"])
131
+
132
+
elif "__debug__" in message:
133
+
debug_messages.append(message["__debug__"])
134
+
135
+
else:
136
+
debug_messages.append(line_str)
137
+
138
+
# make sure that we kill deno subprocess if the execution times out
139
+
except asyncio.TimeoutError:
140
+
process.kill()
141
+
error = "execution timed out after 30 seconds"
142
+
# also kill it for any other exceptiosn we encounter
143
+
except Exception as e:
144
+
process.kill()
145
+
error = str(e)
146
+
147
+
await process.wait()
148
+
149
+
stderr_content = await process.stderr.read()
150
+
if stderr_content:
151
+
stderr_str = stderr_content.decode().strip()
152
+
if stderr_str:
153
+
if error:
154
+
error += f"\n\nStderr:\n{stderr_str}"
155
+
else:
156
+
error = stderr_str
157
+
158
+
success = process.returncode == 0 and error is None
159
+
160
+
result: dict[str, Any] = {
161
+
"success": success,
162
+
"debug": debug_messages,
163
+
}
164
+
165
+
if outputs:
166
+
result["output"] = outputs[-1] if len(outputs) == 1 else outputs
167
+
168
+
if error:
169
+
result["error"] = error
170
+
171
+
return result
172
+
173
+
def get_execute_code_tool_definition(self) -> dict[str, Any]:
174
+
"""get the anthropic tool definition for execute_code, including all the docs for available backend tools"""
175
+
176
+
tool_docs = self._registry.generate_tool_documentation()
177
+
178
+
description = f"""Execute Typescript code in a sandboxed Deno runtime.
179
+
180
+
The code has access to backend tools via the `tools` namespace. Use `output()` to return results.
181
+
182
+
Example:
183
+
```typescript
184
+
const result = await tools.clickhouse.query("SELECT count() FROM events");
185
+
output(result);
186
+
```
187
+
188
+
{tool_docs}"""
189
+
190
+
return {
191
+
"name": "execute_code",
192
+
"description": description,
193
+
"input_schema": {
194
+
"type": "object",
195
+
"properties": {
196
+
"code": {
197
+
"type": "string",
198
+
"description": "Typescript code to execute. Has access to `tools` namespace and `output()` function.",
199
+
}
200
+
},
201
+
"required": ["code"],
202
+
},
203
+
}
+209
src/tools/registry.py
+209
src/tools/registry.py
···
···
1
+
from collections.abc import Awaitable, Callable
2
+
from typing import Any, Literal
3
+
4
+
from pydantic import BaseModel, ConfigDict
5
+
6
+
from src.clickhouse.clickhouse import Clickhouse
7
+
from src.osprey.osprey import Osprey
8
+
from src.ozone.ozone import Ozone
9
+
10
+
11
+
class ToolParameter(BaseModel):
12
+
"""tool parameter definition"""
13
+
14
+
name: str
15
+
type: Literal["string", "number", "boolean", "object", "array"]
16
+
description: str
17
+
required: bool = True
18
+
default: Any = None
19
+
20
+
21
+
class Tool(BaseModel):
22
+
"""tool definition that can be executed in deno sandbox"""
23
+
24
+
model_config = ConfigDict(arbitrary_types_allowed=True)
25
+
26
+
name: str
27
+
description: str
28
+
parameters: list[ToolParameter]
29
+
handler: Callable[..., Awaitable[Any]] # async function
30
+
31
+
32
+
class ToolContext:
33
+
"""a context that has access to various backend services that are available to deno sandboxed tools"""
34
+
35
+
def __init__(
36
+
self,
37
+
clickhouse: Clickhouse | None = None,
38
+
osprey: Osprey | None = None,
39
+
ozone: Ozone | None = None,
40
+
) -> None:
41
+
self._clickhouse = clickhouse
42
+
self._osprey = osprey
43
+
self._ozone = ozone
44
+
45
+
@property
46
+
def clickhouse(self) -> Clickhouse:
47
+
if self._clickhouse is None:
48
+
raise RuntimeError("Clickhouse client not configured")
49
+
return self._clickhouse
50
+
51
+
@property
52
+
def osprey(self) -> Osprey:
53
+
if self._osprey is None:
54
+
raise RuntimeError("Osprey client not configured")
55
+
return self._osprey
56
+
57
+
@property
58
+
def ozone(self) -> Ozone:
59
+
if self._ozone is None:
60
+
raise RuntimeError("Ozone client not configured")
61
+
return self._ozone
62
+
63
+
64
+
class ToolRegistry:
65
+
"""a registry of all the available tools"""
66
+
67
+
def __init__(self) -> None:
68
+
self._tools: dict[str, Tool] = {}
69
+
70
+
def register(self, tool: Tool) -> None:
71
+
self._tools[tool.name] = tool
72
+
73
+
def get(self, name: str) -> Tool | None:
74
+
return self._tools.get(name)
75
+
76
+
def all_tools(self) -> list[Tool]:
77
+
return list(self._tools.values())
78
+
79
+
def tool(
80
+
self,
81
+
name: str,
82
+
description: str,
83
+
parameters: list[ToolParameter] | None = None,
84
+
) -> Callable[[Callable[..., Awaitable[Any]]], Callable[..., Awaitable[Any]]]:
85
+
"""the main tool decorator for tools that you create"""
86
+
87
+
def decorator(
88
+
func: Callable[..., Awaitable[Any]],
89
+
) -> Callable[..., Awaitable[Any]]:
90
+
tool = Tool(
91
+
name=name,
92
+
description=description,
93
+
parameters=parameters or [],
94
+
handler=func,
95
+
)
96
+
self.register(tool)
97
+
return func
98
+
99
+
return decorator
100
+
101
+
async def execute(self, ctx: ToolContext, name: str, params: dict[str, Any]) -> Any:
102
+
tool = self.get(name)
103
+
if tool is None:
104
+
raise ValueError(f"Unknown tool: {name}")
105
+
return await tool.handler(ctx, **params)
106
+
107
+
def generate_tool_documentation(self) -> str:
108
+
"""generated tool documentation is passed to the llm so it knows how to run a given command inside its execute_tool call"""
109
+
110
+
lines = ["# Available Tools\n"]
111
+
lines.append(
112
+
"These tools are available to call from TypeScript code in execute_code:\n"
113
+
)
114
+
115
+
by_namespace: dict[str, list[Tool]] = {}
116
+
for tool in self._tools.values():
117
+
namespace = tool.name.split(".")[0]
118
+
by_namespace.setdefault(namespace, []).append(tool)
119
+
120
+
for namespace, tools in sorted(by_namespace.items()):
121
+
lines.append(f"## {namespace}\n")
122
+
for tool in sorted(tools, key=lambda t: t.name):
123
+
lines.append(f"### {tool.name}")
124
+
lines.append(f"{tool.description}\n")
125
+
if tool.parameters:
126
+
lines.append("**Parameters:**")
127
+
for param in tool.parameters:
128
+
req = "" if param.required else " (optional)"
129
+
default = (
130
+
f", default: {param.default}"
131
+
if param.default is not None
132
+
else ""
133
+
)
134
+
lines.append(
135
+
f"- `{param.name}` ({param.type}{req}{default}): {param.description}"
136
+
)
137
+
lines.append("")
138
+
139
+
return "\n".join(lines)
140
+
141
+
def generate_typescript_types(self) -> str:
142
+
lines = [
143
+
"// Auto-generated - do not edit",
144
+
'import { callTool } from "./runtime.ts";',
145
+
"",
146
+
]
147
+
148
+
by_namespace: dict[str, list[Tool]] = {}
149
+
for tool in self._tools.values():
150
+
namespace = tool.name.split(".")[0]
151
+
by_namespace.setdefault(namespace, []).append(tool)
152
+
153
+
for namespace, tools in sorted(by_namespace.items()):
154
+
lines.append(f"export const {namespace} = {{")
155
+
for i, tool in enumerate(sorted(tools, key=lambda t: t.name)):
156
+
method_name = tool.name.split(".", 1)[1]
157
+
158
+
required_params = [p for p in tool.parameters if p.required]
159
+
optional_params = [p for p in tool.parameters if not p.required]
160
+
ordered_params = required_params + optional_params
161
+
162
+
params: list[str] = []
163
+
for param in ordered_params:
164
+
ts_type = self._python_type_to_ts(param.type)
165
+
if param.required:
166
+
params.append(f"{param.name}: {ts_type}")
167
+
else:
168
+
params.append(f"{param.name}?: {ts_type}")
169
+
170
+
param_str = ", ".join(params)
171
+
172
+
param_names = [p.name for p in tool.parameters]
173
+
params_obj = (
174
+
"{ " + ", ".join(param_names) + " }" if param_names else "{}"
175
+
)
176
+
177
+
lines.append(f" /** {tool.description} */")
178
+
lines.append(
179
+
f' {method_name}: ({param_str}): Promise<unknown> => callTool("{tool.name}", {params_obj}),'
180
+
)
181
+
if i < len(tools) - 1:
182
+
lines.append("")
183
+
184
+
lines.append("};")
185
+
lines.append("")
186
+
187
+
return "\n".join(lines)
188
+
189
+
def _python_type_to_ts(self, py_type: str) -> str:
190
+
mapping = {
191
+
"string": "string",
192
+
"number": "number",
193
+
"boolean": "boolean",
194
+
"object": "Record<string, unknown>",
195
+
"array": "unknown[]",
196
+
}
197
+
return mapping.get(py_type, "unknown")
198
+
199
+
def _default_to_ts(self, value: Any) -> str:
200
+
if value is None:
201
+
return "undefined"
202
+
if isinstance(value, bool):
203
+
return "true" if value else "false"
204
+
if isinstance(value, str):
205
+
return f'"{value}"'
206
+
return str(value)
207
+
208
+
209
+
TOOL_REGISTRY = ToolRegistry()
+894
uv.lock
+894
uv.lock
···
···
1
+
version = 1
2
+
revision = 3
3
+
requires-python = ">=3.12"
4
+
resolution-markers = [
5
+
"python_full_version >= '3.14'",
6
+
"python_full_version < '3.14'",
7
+
]
8
+
9
+
[[package]]
10
+
name = "aiokafka"
11
+
version = "0.13.0"
12
+
source = { registry = "https://pypi.org/simple" }
13
+
dependencies = [
14
+
{ name = "async-timeout" },
15
+
{ name = "packaging" },
16
+
{ name = "typing-extensions" },
17
+
]
18
+
sdist = { url = "https://files.pythonhosted.org/packages/87/18/d3a4f8f9ad099fc59217b8cdf66eeecde3a9ef3bb31fe676e431a3b0010f/aiokafka-0.13.0.tar.gz", hash = "sha256:7d634af3c8d694a37a6c8535c54f01a740e74cccf7cc189ecc4a3d64e31ce122", size = 598580, upload-time = "2026-01-02T13:55:18.911Z" }
19
+
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