+12

.gitignore

··· 1 1 + # Python-generated files 2 2 + __pycache__/ 3 3 + *.py[oc] 4 4 + build/ 5 5 + dist/ 6 6 + wheels/ 7 7 + *.egg-info 8 8 + 9 9 + # Virtual environments 10 10 + .venv 11 11 + 12 12 + .env

+1

.python-version

··· 1 1 + 3.12

+12

README.md

··· 1 1 + # Phoebe 2 2 + 3 3 + Pheobe is an automated trust and safety agent that performs automated actions on the ATProtocol network. Phoebe interfaces with various tools 4 4 + which allow it to detect, alert, and resolve emerging safety threats. 5 5 + 6 6 + Phoebe interfaces with the following tools: 7 7 + 8 8 + - [Ozone](https://github.com/bluesky-social/ozone) 9 9 + - [Osprey](https://github.com/roostorg/osprey) 10 10 + - [Clickhouse](https://clickhouse.com/) 11 11 + 12 12 + Phoebe can be used with Anthropic, OpenAI, and OpenAPI-compatible model APIs.

+104

main.py

··· 1 1 + import logging 2 2 + from typing import Literal 3 3 + 4 4 + import click 5 5 + import httpx 6 6 + from aiokafka.client import asyncio 7 7 + 8 8 + from src.agent.agent import Agent 9 9 + from src.clickhouse.clickhouse import Clickhouse 10 10 + from src.config import CONFIG 11 11 + from src.osprey.osprey import Osprey 12 12 + from src.ozone.ozone import Ozone 13 13 + from src.tools.executor import ToolExecutor 14 14 + from src.tools.registry import TOOL_REGISTRY, ToolContext 15 15 + 16 16 + logging.basicConfig( 17 17 + level=logging.DEBUG, 18 18 + format="%(asctime)s - %(levelname)s - %(message)s", 19 19 + ) 20 20 + 21 21 + logger = logging.getLogger(__name__) 22 22 + 23 23 + 24 24 + @click.command() 25 25 + @click.option("--clickhouse-host") 26 26 + @click.option("--clickhouse-port") 27 27 + @click.option("--clickhouse-user") 28 28 + @click.option("--clickhouse-password") 29 29 + @click.option("--clickhouse-database") 30 30 + @click.option("--bootstrap-server") 31 31 + @click.option("--input-topic") 32 32 + @click.option("--group-id") 33 33 + @click.option("--osprey-base-url") 34 34 + @click.option("--model-api") 35 35 + @click.option("--model-name") 36 36 + @click.option("--model-api-key") 37 37 + def main( 38 38 + clickhouse_host: str | None, 39 39 + clickhouse_port: int | None, 40 40 + clickhouse_user: str | None, 41 41 + clickhouse_password: str | None, 42 42 + clickhouse_database: str | None, 43 43 + bootstrap_server: str | None, 44 44 + input_topic: str | None, 45 45 + group_id: str | None, 46 46 + osprey_base_url: str | None, 47 47 + model_api: Literal["anthropic", "openai", "openapi"], 48 48 + model_name: str | None, 49 49 + model_api_key: str | None, 50 50 + ): 51 51 + http_client = httpx.AsyncClient() 52 52 + 53 53 + clickhouse = Clickhouse( 54 54 + host=clickhouse_host or CONFIG.clickhouse_host, 55 55 + port=clickhouse_port or CONFIG.clickhouse_port, 56 56 + user=clickhouse_user or CONFIG.clickhouse_user, 57 57 + password=clickhouse_password or CONFIG.clickhouse_password, 58 58 + database=clickhouse_database or CONFIG.clickhouse_database, 59 59 + ) 60 60 + 61 61 + # indexer = Indexer( 62 62 + # bootstrap_servers=[bootstrap_server or CONFIG.bootstrap_server], 63 63 + # input_topic=input_topic or CONFIG.input_topic, 64 64 + # group_id=group_id or CONFIG.group_id, 65 65 + # clickhouse=clickhouse, 66 66 + # ) 67 67 + 68 68 + osprey = Osprey( 69 69 + http_client=http_client, 70 70 + base_url=osprey_base_url or CONFIG.osprey_base_url, 71 71 + ) 72 72 + 73 73 + ozone = Ozone() 74 74 + 75 75 + tool_context = ToolContext( 76 76 + clickhouse=clickhouse, 77 77 + osprey=osprey, 78 78 + ozone=ozone, 79 79 + ) 80 80 + 81 81 + executor = ToolExecutor( 82 82 + registry=TOOL_REGISTRY, 83 83 + ctx=tool_context, 84 84 + ) 85 85 + 86 86 + agent = Agent( 87 87 + model_api=model_api or CONFIG.model_api, 88 88 + model_name=model_name or CONFIG.model_name, 89 89 + model_api_key=model_api_key or CONFIG.model_api_key, 90 90 + tool_executor=executor, 91 91 + ) 92 92 + 93 93 + async def run(): 94 94 + async with asyncio.TaskGroup() as tg: 95 95 + tg.create_task(agent.run()) 96 96 + 97 97 + try: 98 98 + asyncio.run(run()) 99 99 + except KeyboardInterrupt: 100 100 + logger.info("received keyboard interrupt") 101 101 + 102 102 + 103 103 + if __name__ == "__main__": 104 104 + main()

+18

pyproject.toml

··· 1 1 + [project] 2 2 + name = "osprey-agent" 3 3 + version = "0.1.0" 4 4 + description = "Add your description here" 5 5 + readme = "README.md" 6 6 + requires-python = ">=3.12" 7 7 + dependencies = [ 8 8 + "anthropic>=0.77.1", 9 9 + "atkafka-consumer-python", 10 10 + "atproto>=0.0.65", 11 11 + "click>=8.3.1", 12 12 + "clickhouse-connect>=0.10.0", 13 13 + "pydantic>=2.12.5", 14 14 + "pydantic-settings>=2.12.0", 15 15 + ] 16 16 + 17 17 + [tool.uv.sources] 18 18 + atkafka-consumer-python = { git = "https://tangled.org/hailey.at/atkafka-consumer-python" }

src/__init__.py

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+146

src/agent/agent.py

··· 1 1 + from abc import ABC, abstractmethod 2 2 + import asyncio 3 3 + import logging 4 4 + from typing import Any, Literal 5 5 + 6 6 + import anthropic 7 7 + from anthropic.types import TextBlock, ToolUseBlock 8 8 + from pydantic import BaseModel 9 9 + 10 10 + from src.agent.prompt import AGENT_SYSTEM_PROMPT 11 11 + from src.tools.executor import ToolExecutor 12 12 + 13 13 + logger = logging.getLogger(__name__) 14 14 + 15 15 + 16 16 + class Message(BaseModel): 17 17 + role: Literal["user", "assistant"] 18 18 + content: str 19 19 + 20 20 + 21 21 + class AgentClient(ABC): 22 22 + @abstractmethod 23 23 + async def complete( 24 24 + self, 25 25 + messages: list[dict[str, Any]], 26 26 + system: str | None = None, 27 27 + tools: list[dict[str, Any]] | None = None, 28 28 + ) -> anthropic.types.Message: 29 29 + pass 30 30 + 31 31 + 32 32 + class AnthropicClient(AgentClient): 33 33 + def __init__( 34 34 + self, api_key: str, model_name: str = "claude-sonnet-4-5-20250929" 35 35 + ) -> None: 36 36 + self._client = anthropic.AsyncAnthropic(api_key=api_key) 37 37 + self._model_name = model_name 38 38 + 39 39 + async def complete( 40 40 + self, 41 41 + messages: list[dict[str, Any]], 42 42 + system: str | None = None, 43 43 + tools: list[dict[str, Any]] | None = None, 44 44 + ) -> anthropic.types.Message: 45 45 + kwargs: dict[str, Any] = { 46 46 + "model": self._model_name, 47 47 + "max_tokens": 25_000, 48 48 + "system": system or AGENT_SYSTEM_PROMPT, 49 49 + "messages": messages, 50 50 + } 51 51 + 52 52 + if tools: 53 53 + kwargs["tools"] = tools 54 54 + 55 55 + return await self._client.messages.create(**kwargs) # type: ignore 56 56 + 57 57 + 58 58 + class Agent: 59 59 + def __init__( 60 60 + self, 61 61 + model_api: Literal["anthropic", "openai", "openapi"], 62 62 + model_name: str, 63 63 + model_api_key: str | None, 64 64 + tool_executor: ToolExecutor | None = None, 65 65 + ) -> None: 66 66 + if model_api != "anthropic": 67 67 + # TODO: implement other APIs 68 68 + raise NotImplementedError() 69 69 + 70 70 + if model_api == "anthropic": 71 71 + assert model_api_key 72 72 + self._client = AnthropicClient(api_key=model_api_key, model_name=model_name) 73 73 + 74 74 + self._tool_executor = tool_executor 75 75 + self._conversation: list[dict[str, Any]] = [] 76 76 + 77 77 + def _get_tools(self) -> list[dict[str, Any]] | None: 78 78 + """get tool definitions for the agent""" 79 79 + 80 80 + if self._tool_executor is None: 81 81 + return None 82 82 + return [self._tool_executor.get_execute_code_tool_definition()] 83 83 + 84 84 + async def _handle_tool_call(self, tool_use: ToolUseBlock) -> dict[str, Any]: 85 85 + """handle a tool call from the model""" 86 86 + if tool_use.name == "execute_code" and self._tool_executor: 87 87 + code = tool_use.input.get("code", "") # type: ignore 88 88 + result = await self._tool_executor.execute_code(code) # type: ignore 89 89 + return result 90 90 + else: 91 91 + return {"error": f"Unknown tool: {tool_use.name}"} 92 92 + 93 93 + async def chat(self, user_message: str) -> str: 94 94 + """Send a message and get a response, handling tool calls.""" 95 95 + self._conversation.append({"role": "user", "content": user_message}) 96 96 + 97 97 + while True: 98 98 + resp = await self._client.complete( 99 99 + messages=self._conversation, 100 100 + tools=self._get_tools(), 101 101 + ) 102 102 + 103 103 + assistant_content: list[dict[str, Any]] = [] 104 104 + text_response = "" 105 105 + 106 106 + for block in resp.content: 107 107 + if isinstance(block, TextBlock): 108 108 + assistant_content.append({"type": "text", "text": block.text}) 109 109 + text_response += block.text 110 110 + elif isinstance(block, ToolUseBlock): 111 111 + assistant_content.append( 112 112 + { 113 113 + "type": "tool_use", 114 114 + "id": block.id, 115 115 + "name": block.name, 116 116 + "input": block.input, 117 117 + } 118 118 + ) 119 119 + 120 120 + self._conversation.append( 121 121 + {"role": "assistant", "content": assistant_content} 122 122 + ) 123 123 + 124 124 + # find any tool calls that we need to handle 125 125 + if resp.stop_reason == "tool_use": 126 126 + tool_results: list[dict[str, Any]] = [] 127 127 + for block in resp.content: 128 128 + if isinstance(block, ToolUseBlock): 129 129 + result = await self._handle_tool_call(block) 130 130 + tool_results.append( 131 131 + { 132 132 + "type": "tool_result", 133 133 + "tool_use_id": block.id, 134 134 + "content": str(result), 135 135 + } 136 136 + ) 137 137 + 138 138 + self._conversation.append({"role": "user", "content": tool_results}) 139 139 + else: 140 140 + # once there are no mroe tool calls, we proceed to the text response 141 141 + return text_response 142 142 + 143 143 + async def run(self): 144 144 + while True: 145 145 + logger.info("running tasks...") 146 146 + await asyncio.sleep(30)

+15

src/agent/prompt.py

··· 1 1 + AGENT_SYSTEM_PROMPT = """ 2 2 + # Phoebe 3 3 + 4 4 + 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. 5 5 + 6 6 + 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. 7 7 + 8 8 + 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. 9 9 + 10 10 + On top of these abilities, I am also given the ability to 11 11 + 12 12 + **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 13 13 + 14 14 + **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. 💙 15 15 + """

+42

src/clickhouse/clickhouse.py

··· 1 1 + from typing import Any 2 2 + from clickhouse_connect import get_async_client # type: ignore 3 3 + from clickhouse_connect.driver.asyncclient import AsyncClient # type: ignore 4 4 + 5 5 + 6 6 + class Clickhouse: 7 7 + def __init__(self, host: str, port: int, user: str, password: str, database: str): 8 8 + self._host = host 9 9 + self._port = port 10 10 + self._user = user 11 11 + self._password = password 12 12 + self._database = database 13 13 + 14 14 + self._client: AsyncClient | None 15 15 + 16 16 + async def initialize(self): 17 17 + self._client = await get_async_client( 18 18 + host=self._host, 19 19 + port=self._port, 20 20 + username=self._user, 21 21 + password=self._password, 22 22 + database=self._database, 23 23 + ) 24 24 + 25 25 + async def get_schema(self): 26 26 + schema: list[dict[str, str]] = [] 27 27 + 28 28 + resp = await self._client.query( # type: ignore 29 29 + "DESCRIBE TABLE default.osprey_execution_results" 30 30 + ) # type: ignore 31 31 + 32 32 + for row in resp.result_rows: # type: ignore 33 33 + schema.append( 34 34 + { 35 35 + "name": row[0], 36 36 + "type": row[1], 37 37 + } 38 38 + ) 39 39 + return schema 40 40 + 41 41 + async def query(self, sql: str) -> dict[str, Any]: 42 42 + return await self._client.query(sql) # type: ignore

+42

src/config.py

··· 1 1 + from typing import Literal 2 2 + from pydantic_settings import BaseSettings, SettingsConfigDict 3 3 + 4 4 + 5 5 + class Config(BaseSettings): 6 6 + clickhouse_host: str = "localhost" 7 7 + """host for the clickhouse server""" 8 8 + clickhouse_port: int = 8123 9 9 + """port for the clickhouse server""" 10 10 + clickhouse_user: str = "default" 11 11 + """username for the clickhouse server""" 12 12 + clickhouse_password: str = "clickhouse" 13 13 + """password for the clickhouse server""" 14 14 + clickhouse_database: str = "default" 15 15 + """default database for the clickhouse server""" 16 16 + 17 17 + bootstrap_server: str = "localhost:9092" 18 18 + """bootstrap server for atkafka events""" 19 19 + input_topic: str = "atproto-events" 20 20 + """input topic for atkafka events""" 21 21 + group_id: str = "osprey-agent" 22 22 + """group id for atkafka events""" 23 23 + 24 24 + model_api: Literal["anthropic", "openai", "openapi"] = "anthropic" 25 25 + """the model api to use. must be one of `anthropic`, `openai`, or `openapi`""" 26 26 + model_name: str = "claude-sonnet-4-5-20250929" 27 27 + """the model to use with the given api""" 28 28 + model_api_key: str = "" 29 29 + """the model api key""" 30 30 + model_endpoint: str = "" 31 31 + """for openapi model apis, the endpoint to use""" 32 32 + 33 33 + allowed_labels: str = "" 34 34 + """comma separated list of labels that Phoebe is allowed to apply""" 35 35 + 36 36 + osprey_base_url: str = "" 37 37 + """the base url for your osprey instance""" 38 38 + 39 39 + model_config = SettingsConfigDict(env_file=".env") 40 40 + 41 41 + 42 42 + CONFIG = Config()

+42

src/indexer/indexer.py

··· 1 1 + from atkafka_consumer import AtKafkaEvent, Consumer 2 2 + import atproto 3 3 + 4 4 + from src.clickhouse.clickhouse import Clickhouse 5 5 + 6 6 + 7 7 + class Indexer: 8 8 + """ 9 9 + Some indexer process that I started to write...but this isn't really necessary? 10 10 + We can just use the events from the Osprey Clickhouse itself so this feels kinda 11 11 + pointless atp. I'll leave it here just incase it proves useful later 12 12 + """ 13 13 + 14 14 + def __init__( 15 15 + self, 16 16 + bootstrap_servers: list[str], 17 17 + input_topic: str, 18 18 + group_id: str, 19 19 + clickhouse: Clickhouse, 20 20 + ) -> None: 21 21 + self._bootstrap_servers = bootstrap_servers 22 22 + self._input_topic = input_topic 23 23 + self._group_id = group_id 24 24 + self._clickhouse = clickhouse 25 25 + 26 26 + self._indexer: Consumer | None = None 27 27 + 28 28 + async def run(self) -> None: 29 29 + raise NotImplementedError() 30 30 + 31 31 + self._indexer = Consumer( 32 32 + bootstrap_servers=self._bootstrap_servers, 33 33 + input_topic=self._input_topic, 34 34 + group_id=self._group_id, 35 35 + on_event=self._on_event, 36 36 + max_concurrent_tasks=1_000, 37 37 + ) 38 38 + 39 39 + async def _on_event( 40 40 + self, evt: AtKafkaEvent | atproto.models.ToolsOzoneModerationDefs.ModEventView 41 41 + ): 42 42 + pass

+98

src/osprey/config.py

··· 1 1 + from pydantic import BaseModel 2 2 + 3 3 + 4 4 + class CurrentUser(BaseModel): 5 5 + email: str 6 6 + 7 7 + 8 8 + class DefaultSummaryFeature(BaseModel): 9 9 + actions: list[str] 10 10 + features: list[str] 11 11 + 12 12 + 13 13 + class FeatureLocation(BaseModel): 14 14 + name: str 15 15 + source_line: int 16 16 + source_path: str 17 17 + source_snippet: str 18 18 + 19 19 + 20 20 + class LabelInfo(BaseModel): 21 21 + connotation: str 22 22 + description: str 23 23 + valid_for: list[str] 24 24 + 25 25 + 26 26 + class OspreyConfig(BaseModel): 27 27 + current_user: CurrentUser 28 28 + default_summary_features: list[DefaultSummaryFeature] = [] 29 29 + external_links: dict[str, str] = {} 30 30 + feature_name_to_entity_type_mapping: dict[str, str] = {} 31 31 + feature_name_to_value_type_mapping: dict[str, str] = {} 32 32 + known_action_names: list[str] = [] 33 33 + known_feature_locations: list[FeatureLocation] = [] 34 34 + label_info_mapping: dict[str, LabelInfo] = {} 35 35 + rule_info_mapping: dict[str, str] = {} 36 36 + 37 37 + def get_available_features(self) -> dict[str, str]: 38 38 + return self.feature_name_to_value_type_mapping 39 39 + 40 40 + def get_available_labels(self) -> list[str]: 41 41 + return list(self.label_info_mapping.keys()) 42 42 + 43 43 + def get_existing_rules(self) -> dict[str, str]: 44 44 + return self.rule_info_mapping 45 45 + 46 46 + def get_feature_examples(self, feature_name: str) -> FeatureLocation | None: 47 47 + for loc in self.known_feature_locations: 48 48 + if loc.name == feature_name: 49 49 + return loc 50 50 + return None 51 51 + 52 52 + def format_features_for_llm(self) -> str: 53 53 + lines = ["# Available Features\n"] 54 54 + lines.append("These features are already extracted and available in rules:\n") 55 55 + 56 56 + by_type: dict[str, list[str]] = {} 57 57 + for name, typ in sorted(self.feature_name_to_value_type_mapping.items()): 58 58 + by_type.setdefault(typ, []).append(name) 59 59 + 60 60 + for typ, names in sorted(by_type.items()): 61 61 + lines.append(f"\n## Type: `{typ}`") 62 62 + for name in sorted(names): 63 63 + lines.append(f"- {name}") 64 64 + 65 65 + return "\n".join(lines) 66 66 + 67 67 + def format_labels_for_llm(self) -> str: 68 68 + lines = ["# Available Labels\n"] 69 69 + lines.append( 70 70 + "You can add new labels if you feel none of the current ones fit, but be sure to update the config." 71 71 + ) 72 72 + 73 73 + for name, info in sorted(self.label_info_mapping.items()): 74 74 + valid_for = ", ".join(info.valid_for) 75 75 + lines.append(f"- `{name}`: {info.description} (valid for: {valid_for})") 76 76 + 77 77 + return "\n".join(lines) 78 78 + 79 79 + def format_existing_rules_for_llm(self) -> str: 80 80 + lines = ["# Existing Rules\n"] 81 81 + lines.append("These rules already exist and can be referenced:\n") 82 82 + 83 83 + for name, desc in sorted(self.rule_info_mapping.items()): 84 84 + lines.append(f"- `{name}`: {desc}") 85 85 + 86 86 + return "\n".join(lines) 87 87 + 88 88 + def format_feature_examples_for_llm(self, feature_names: list[str]) -> str: 89 89 + lines = ["# Feature Definition Examples\n"] 90 90 + 91 91 + for name in feature_names: 92 92 + loc = self.get_feature_examples(name) 93 93 + if loc: 94 94 + lines.append(f"## {name}") 95 95 + lines.append(f"Source: `{loc.source_path}:{loc.source_line}`") 96 96 + lines.append(f"```python\n{loc.source_snippet}\n```\n") 97 97 + 98 98 + return "\n".join(lines)

+26

src/osprey/osprey.py

··· 1 1 + import httpx 2 2 + 3 3 + from src.osprey.config import OspreyConfig 4 4 + from src.osprey.udfs import UdfCatalog 5 5 + 6 6 + 7 7 + class Osprey: 8 8 + def __init__(self, http_client: httpx.AsyncClient, base_url: str) -> None: 9 9 + self._http_client = http_client 10 10 + self._base_url = base_url 11 11 + 12 12 + async def get_udfs(self) -> UdfCatalog: 13 13 + """gets the udf documentation from the given osprey instance""" 14 14 + 15 15 + url = f"{self._base_url}/docs/udfs" 16 16 + resp = await self._http_client.get(url) 17 17 + resp.raise_for_status() 18 18 + return UdfCatalog.model_validate(resp.json()) 19 19 + 20 20 + async def get_config(self) -> OspreyConfig: 21 21 + """gets the config from the given osprey instance, for label names, features, etc.""" 22 22 + 23 23 + url = f"{self._base_url}/config" 24 24 + resp = await self._http_client.get(url) 25 25 + resp.raise_for_status() 26 26 + return OspreyConfig.model_validate(resp.json())

+262

src/osprey/sml_reference.py

··· 1 1 + SYNTAX_DATA_EXTRACTION = """\ 2 2 + ## Data Extraction 3 3 + 4 4 + ### JsonData - Extract values from event JSON 5 5 + ```python 6 6 + FieldName: type = JsonData(path='$.json.path') 7 7 + FieldName: Optional[type] = JsonData(path='$.path', required=False) 8 8 + ``` 9 9 + 10 10 + ### EntityJson - Create typed entities from JSON (for IDs that can have labels) 11 11 + ```python 12 12 + UserId: Entity[str] = EntityJson(type='UserId', path='$.user.id') 13 13 + PostId: Entity[str] = EntityJson(type='PostId', path='$.postId') 14 14 + ``` 15 15 + 16 16 + ### Supported types 17 17 + - `str`, `int`, `float`, `bool` 18 18 + - `List[str]`, `List[int]`, etc. 19 19 + - `Optional[type]` for nullable fields 20 20 + - `Entity[type]` for identifiers that can have labels attached 21 21 + """ 22 22 + 23 23 + SYNTAX_RULES = """\ 24 24 + ## Rules 25 25 + 26 26 + ### Defining a Rule 27 27 + ```python 28 28 + RuleName = Rule( 29 29 + when_all=[ 30 30 + Condition1, 31 31 + Condition2, # ALL conditions must be True 32 32 + ], 33 33 + description='What this rule detects' 34 34 + ) 35 35 + ``` 36 36 + 37 37 + ### Rule naming 38 38 + - Must be PascalCase (e.g., `SpamDetectionRule`) 39 39 + - Cannot start with underscore 40 40 + - Description must be a string literal or f-string 41 41 + """ 42 42 + 43 43 + SYNTAX_EFFECTS = """\ 44 44 + ## Effects and WhenRules 45 45 + 46 46 + ### Wiring rules to effects 47 47 + ```python 48 48 + WhenRules( 49 49 + rules_any=[Rule1, Rule2], # ANY rule triggers ALL effects 50 50 + then=[ 51 51 + DeclareVerdict(verdict='reject'), 52 52 + LabelAdd(entity=UserId, label='spam'), 53 53 + ], 54 54 + ) 55 55 + ``` 56 56 + 57 57 + ### Available effects 58 58 + - `DeclareVerdict(verdict='...')` - Return verdict to caller 59 59 + - `LabelAdd(entity=E, label='L')` - Add label to entity 60 60 + - `LabelRemove(entity=E, label='L')` - Remove label from entity 61 61 + """ 62 62 + 63 63 + SYNTAX_OPERATORS = """\ 64 64 + ## Operators 65 65 + 66 66 + ### Comparison 67 67 + - `==`, `!=`, `>`, `>=`, `<`, `<=` 68 68 + - `in`, `not in` (for list membership) 69 69 + 70 70 + ### Boolean 71 71 + - `and`, `or`, `not` 72 72 + - All conditions in `when_all` are implicitly AND-ed 73 73 + - Use parentheses for OR: `(Cond1 or Cond2)` 74 74 + 75 75 + ### Null handling 76 76 + - `Value != None` - check if not null 77 77 + - `Value == None` - check if null 78 78 + - Always check for null before using optional fields 79 79 + """ 80 80 + 81 81 + SYNTAX_IMPORTS = """\ 82 82 + ## File Organization 83 83 + 84 84 + ### Import - Include models/features from other files 85 85 + ```python 86 86 + Import(rules=[ 87 87 + 'models/base.sml', 88 88 + 'models/record/post.sml', 89 89 + ]) 90 90 + ``` 91 91 + - Paths must be relative and sorted lexicographically 92 92 + - Imported features become available in current file 93 93 + 94 94 + ### Require - Conditionally include rule files 95 95 + ```python 96 96 + Require(rule='rules/spam/check.sml') 97 97 + Require(rule='rules/post/links.sml', require_if=EventType == 'post') 98 98 + ``` 99 99 + - Use for conditional rule execution based on event type 100 100 + - Required file outputs are NOT available in parent file 101 101 + """ 102 102 + 103 103 + PROJECT_STRUCTURE = """\ 104 104 + ## Project Structure 105 105 + 106 106 + Osprey rules projects follow this structure: 107 107 + 108 108 + ``` 109 109 + rules/ 110 110 + ├── main.sml # Entry point - requires index.sml 111 111 + ├── models/ 112 112 + │ ├── base.sml # Common features (UserId, Handle, etc.) 113 113 + │ └── record/ 114 114 + │ ├── post.sml # Post-specific features 115 115 + │ ├── like.sml # Like-specific features 116 116 + │ └── profile.sml # Profile-specific features 117 117 + └── rules/ 118 118 + ├── index.sml # Routes to event-specific rules 119 119 + └── record/ 120 120 + ├── post/ 121 121 + │ ├── index.sml # Requires post rules 122 122 + │ ├── spam.sml # Spam detection 123 123 + │ └── links.sml # Link abuse detection 124 124 + └── profile/ 125 125 + ├── index.sml 126 126 + └── impersonation.sml 127 127 + ``` 128 128 + 129 129 + ### Key principles 130 130 + 1. **models/** - Feature definitions only, no rules 131 131 + 2. **rules/** - Rule logic with WhenRules effects 132 132 + 3. **index.sml** - Conditional routing based on event type 133 133 + 4. Each rule file imports the models it needs 134 134 + """ 135 135 + 136 136 + PATTERN_BASIC_RULE = """\ 137 137 + ### Basic Rule Pattern 138 138 + ```python 139 139 + Import(rules=[ 140 140 + 'models/base.sml', 141 141 + 'models/record/post.sml', 142 142 + ]) 143 143 + 144 144 + # Define the rule 145 145 + SpamLinkRule = Rule( 146 146 + when_all=[ 147 147 + AccountAgeSecondsUnwrapped < Day, 148 148 + PostHasExternal, 149 149 + PostIsReply, 150 150 + ], 151 151 + description='New account posting external links in replies', 152 152 + ) 153 153 + 154 154 + # Wire to effects 155 155 + WhenRules( 156 156 + rules_any=[SpamLinkRule], 157 157 + then=[ 158 158 + LabelAdd(entity=UserId, label='reply-link-spam'), 159 159 + ], 160 160 + ) 161 161 + ``` 162 162 + """ 163 163 + 164 164 + PATTERN_MULTIPLE_RULES = """\ 165 165 + ### Multiple Rules with Tiered Response 166 166 + ```python 167 167 + # Low severity 168 168 + LowRiskRule = Rule( 169 169 + when_all=[Signal1], 170 170 + description='Single signal detected', 171 171 + ) 172 172 + 173 173 + # High severity - multiple signals 174 174 + HighRiskRule = Rule( 175 175 + when_all=[Signal1, Signal2, Signal3], 176 176 + description='Multiple signals detected', 177 177 + ) 178 178 + 179 179 + WhenRules( 180 180 + rules_any=[LowRiskRule, HighRiskRule], 181 181 + then=[ 182 182 + LabelAdd(entity=UserId, label='flagged'), 183 183 + LabelAdd(entity=UserId, label='high-risk', apply_if=HighRiskRule), 184 184 + ], 185 185 + ) 186 186 + ``` 187 187 + """ 188 188 + 189 189 + PATTERN_COMPUTED_FEATURES = """\ 190 190 + ### Computed Features 191 191 + ```python 192 192 + # Compute intermediate values 193 193 + FollowRatio = FollowingCount / (FollowersCount + 1) # +1 to avoid division by zero 194 194 + IsHighFollowRatio = FollowRatio > 10.0 195 195 + 196 196 + MessageLength = StringLength(s=PostText) 197 197 + IsShortMessage = MessageLength < 10 198 198 + 199 199 + HasManyMentions = ListLength(list=FacetMentionList) > 5 200 200 + 201 201 + # Use in rules 202 202 + SuspiciousActivity = Rule( 203 203 + when_all=[ 204 204 + IsHighFollowRatio, 205 205 + IsShortMessage, 206 206 + HasManyMentions, 207 207 + ], 208 208 + description='Suspicious activity pattern', 209 209 + ) 210 210 + ``` 211 211 + """ 212 212 + 213 213 + PATTERN_NULL_SAFETY = """\ 214 214 + ### Null-Safe Patterns 215 215 + ```python 216 216 + # For optional fields, always check null first 217 217 + OptionalField: Optional[str] = JsonData(path='$.maybe', required=False) 218 218 + 219 219 + SafeRule = Rule( 220 220 + when_all=[ 221 221 + OptionalField != None, # Guard clause 222 222 + StringLength(s=OptionalField) > 10, 223 223 + ], 224 224 + description='Checks optional field safely', 225 225 + ) 226 226 + 227 227 + # Or use ResolveOptional for defaults 228 228 + SafeValue: str = ResolveOptional( 229 229 + optional_value=OptionalField, 230 230 + default_value='', 231 231 + ) 232 232 + ``` 233 233 + """ 234 234 + 235 235 + 236 236 + def get_syntax_reference() -> str: 237 237 + return "\n\n".join( 238 238 + [ 239 239 + "# SML Syntax Reference", 240 240 + SYNTAX_DATA_EXTRACTION, 241 241 + SYNTAX_RULES, 242 242 + SYNTAX_EFFECTS, 243 243 + SYNTAX_OPERATORS, 244 244 + SYNTAX_IMPORTS, 245 245 + ] 246 246 + ) 247 247 + 248 248 + 249 249 + def get_project_structure() -> str: 250 250 + return PROJECT_STRUCTURE 251 251 + 252 252 + 253 253 + def get_patterns_reference() -> str: 254 254 + return "\n\n".join( 255 255 + [ 256 256 + "# Common SML Patterns", 257 257 + PATTERN_BASIC_RULE, 258 258 + PATTERN_MULTIPLE_RULES, 259 259 + PATTERN_COMPUTED_FEATURES, 260 260 + PATTERN_NULL_SAFETY, 261 261 + ] 262 262 + )

+74

src/osprey/udfs.py

··· 1 1 + from pydantic import BaseModel 2 2 + 3 3 + 4 4 + class UdfArgumentSpec(BaseModel): 5 5 + name: str 6 6 + type: str 7 7 + default: str | None = None 8 8 + doc: str | None = None 9 9 + 10 10 + 11 11 + class Udf(BaseModel): 12 12 + name: str 13 13 + return_type: str 14 14 + argument_specs: list[UdfArgumentSpec] = [] 15 15 + doc: str | None = None 16 16 + category: str | None = None 17 17 + 18 18 + def signature(self) -> str: 19 19 + args = ", ".join( 20 20 + f"{arg.name}: {arg.type}" + (f" = {arg.default}" if arg.default else "") 21 21 + for arg in self.argument_specs 22 22 + ) 23 23 + return f"{self.name}({args}) -> {self.return_type}" 24 24 + 25 25 + 26 26 + class UdfCategory(BaseModel): 27 27 + name: str | None = None 28 28 + udfs: list[Udf] = [] 29 29 + 30 30 + 31 31 + class UdfCatalog(BaseModel): 32 32 + udf_categories: list[UdfCategory] = [] 33 33 + 34 34 + def all_udfs(self) -> list[Udf]: 35 35 + return [udf for cat in self.udf_categories for udf in cat.udfs] 36 36 + 37 37 + def find_udf(self, name: str) -> Udf | None: 38 38 + name_lower = name.lower() 39 39 + for udf in self.all_udfs(): 40 40 + if udf.name.lower() == name_lower: 41 41 + return udf 42 42 + return None 43 43 + 44 44 + def udfs_by_category(self, category: str) -> list[Udf]: 45 45 + for cat in self.udf_categories: 46 46 + if cat.name and cat.name.lower() == category.lower(): 47 47 + return cat.udfs 48 48 + return [] 49 49 + 50 50 + def format_for_llm(self) -> str: 51 51 + lines = ["# Available UDFs\n"] 52 52 + 53 53 + for cat in self.udf_categories: 54 54 + cat_name = cat.name or "Other" 55 55 + lines.append(f"## {cat_name}\n") 56 56 + 57 57 + for udf in cat.udfs: 58 58 + lines.append(f"### {udf.name}") 59 59 + lines.append("```") 60 60 + lines.append(udf.signature()) 61 61 + lines.append("```") 62 62 + if udf.doc: 63 63 + lines.append(udf.doc) 64 64 + 65 65 + if udf.argument_specs: 66 66 + lines.append("\n**Parameters:**") 67 67 + for arg in udf.argument_specs: 68 68 + arg_doc = arg.doc or arg.type 69 69 + default = f" (default: {arg.default})" if arg.default else "" 70 70 + lines.append(f"- `{arg.name}`: {arg_doc}{default}") 71 71 + 72 72 + lines.append("") 73 73 + 74 74 + return "\n".join(lines)

+18

src/ozone/ozone.py

··· 1 1 + from typing import Any 2 2 + 3 3 + 4 4 + class Ozone: 5 5 + """Client for Ozone moderation service.""" 6 6 + 7 7 + def __init__(self) -> None: 8 8 + # TODO: Implement Ozone client 9 9 + pass 10 10 + 11 11 + async def apply_label(self, subject: str, label: str) -> dict[str, Any]: 12 12 + """apply a moderation label to a subject""" 13 13 + 14 14 + raise NotImplementedError("Ozone client not yet implemented") 15 15 + 16 16 + async def remove_label(self, subject: str, label: str) -> dict[str, Any]: 17 17 + """remove a moderation label from a subject""" 18 18 + raise NotImplementedError("Ozone client not yet implemented")

+17

src/tools/__init__.py

··· 1 1 + from src.tools.executor import ToolExecutor 2 2 + from src.tools.registry import ( 3 3 + Tool, 4 4 + ToolContext, 5 5 + ToolParameter, 6 6 + ToolRegistry, 7 7 + TOOL_REGISTRY, 8 8 + ) 9 9 + 10 10 + __all__ = [ 11 11 + "Tool", 12 12 + "ToolContext", 13 13 + "ToolExecutor", 14 14 + "ToolParameter", 15 15 + "ToolRegistry", 16 16 + "TOOL_REGISTRY", 17 17 + ]

+36

src/tools/definitions/clickhouse.py

··· 1 1 + from typing import Any 2 2 + 3 3 + from src.tools.registry import TOOL_REGISTRY, ToolContext, ToolParameter 4 4 + 5 5 + 6 6 + @TOOL_REGISTRY.tool( 7 7 + name="clickhouse.query", 8 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 9 + parameters=[ 10 10 + ToolParameter( 11 11 + name="sql", 12 12 + type="string", 13 13 + description="SQL query to execute", 14 14 + ), 15 15 + ], 16 16 + ) 17 17 + async def clickhouse_query(ctx: ToolContext, sql: str) -> dict[str, Any]: 18 18 + resp = await ctx.clickhouse.query(sql) 19 19 + 20 20 + return { 21 21 + "columns": resp.column_names, # type: ignore 22 22 + "rows": resp.result_rows, # type: ignore 23 23 + } 24 24 + 25 25 + 26 26 + @TOOL_REGISTRY.tool( 27 27 + name="clickhouse.getSchema", 28 28 + description="Get database schema information including tables and their columns. Schema is for the table default.osprey_execution_results", 29 29 + parameters=[], 30 30 + ) 31 31 + async def clickhouse_get_schema( 32 32 + ctx: ToolContext, database: str | None = None 33 33 + ) -> list[dict[str, Any]]: 34 34 + resp = await ctx.clickhouse.get_schema() 35 35 + 36 36 + return resp

+62

src/tools/definitions/osprey.py

··· 1 1 + from typing import Any 2 2 + 3 3 + from src.tools.registry import TOOL_REGISTRY, ToolContext 4 4 + 5 5 + 6 6 + @TOOL_REGISTRY.tool( 7 7 + name="osprey.getConfig", 8 8 + description="Get Osprey configuration including available features, labels, and rules", 9 9 + parameters=[], 10 10 + ) 11 11 + async def osprey_get_config(ctx: ToolContext) -> dict[str, Any]: 12 12 + """Get Osprey configuration.""" 13 13 + config = await ctx.osprey.get_config() 14 14 + return { 15 15 + "features": config.get_available_features(), 16 16 + "labels": [ 17 17 + { 18 18 + "name": name, 19 19 + "description": info.description, 20 20 + "connotation": info.connotation, 21 21 + "valid_for": info.valid_for, 22 22 + } 23 23 + for name, info in config.label_info_mapping.items() 24 24 + ], 25 25 + "rules": config.get_existing_rules(), 26 26 + "actions": config.known_action_names, 27 27 + } 28 28 + 29 29 + 30 30 + @TOOL_REGISTRY.tool( 31 31 + name="osprey.getUdfs", 32 32 + description="Get available UDFs (user-defined functions) for rule writing", 33 33 + parameters=[], 34 34 + ) 35 35 + async def osprey_get_udfs(ctx: ToolContext) -> dict[str, Any]: 36 36 + """Get available UDFs for rule writing.""" 37 37 + catalog = await ctx.osprey.get_udfs() 38 38 + return { 39 39 + "categories": [ 40 40 + { 41 41 + "name": cat.name, 42 42 + "udfs": [ 43 43 + { 44 44 + "name": udf.name, 45 45 + "signature": udf.signature(), 46 46 + "doc": udf.doc, 47 47 + "arguments": [ 48 48 + { 49 49 + "name": arg.name, 50 50 + "type": arg.type, 51 51 + "default": arg.default, 52 52 + "doc": arg.doc, 53 53 + } 54 54 + for arg in udf.argument_specs 55 55 + ], 56 56 + } 57 57 + for udf in cat.udfs 58 58 + ], 59 59 + } 60 60 + for cat in catalog.udf_categories 61 61 + ] 62 62 + }

+47

src/tools/definitions/ozone.py

··· 1 1 + from typing import Any 2 2 + 3 3 + from src.tools.registry import TOOL_REGISTRY, ToolContext, ToolParameter 4 4 + 5 5 + 6 6 + @TOOL_REGISTRY.tool( 7 7 + name="ozone.applyLabel", 8 8 + description="Apply a moderation label to a subject (account or record)", 9 9 + parameters=[ 10 10 + ToolParameter( 11 11 + name="subject", 12 12 + type="string", 13 13 + description="The subject to label (DID for account, AT-URI for content)", 14 14 + ), 15 15 + ToolParameter( 16 16 + name="label", 17 17 + type="string", 18 18 + description="The label to apply", 19 19 + ), 20 20 + ], 21 21 + ) 22 22 + async def ozone_apply_label( 23 23 + ctx: ToolContext, subject: str, label: str 24 24 + ) -> dict[str, Any]: 25 25 + raise NotImplementedError("Ozone client not yet implemented") 26 26 + 27 27 + 28 28 + @TOOL_REGISTRY.tool( 29 29 + name="ozone.removeLabel", 30 30 + description="Remove a moderation label from a subject (account or record)", 31 31 + parameters=[ 32 32 + ToolParameter( 33 33 + name="subject", 34 34 + type="string", 35 35 + description="The subject to unlabel (DID for account, AT-URI for content)", 36 36 + ), 37 37 + ToolParameter( 38 38 + name="label", 39 39 + type="string", 40 40 + description="The label to remove", 41 41 + ), 42 42 + ], 43 43 + ) 44 44 + async def ozone_remove_label( 45 45 + ctx: ToolContext, subject: str, label: str 46 46 + ) -> dict[str, Any]: 47 47 + raise NotImplementedError("Ozone client not yet implemented")

+79

src/tools/deno/runtime.ts

··· 1 1 + const encoder = new TextEncoder(); 2 2 + const decoder = new TextDecoder(); 3 3 + 4 4 + // create a stdin buffer to stick the response in 5 5 + let stdinBuffer = ""; 6 6 + 7 7 + async function readLine(): Promise<string> { 8 8 + // check for already complete lines 9 9 + const newlineIndex = stdinBuffer.indexOf("\n"); 10 10 + if (newlineIndex !== -1) { 11 11 + const line = stdinBuffer.slice(0, newlineIndex); 12 12 + stdinBuffer = stdinBuffer.slice(newlineIndex + 1); 13 13 + return line; 14 14 + } 15 15 + 16 16 + // read additional data from stdin until we've read teh whole buffer 17 17 + const buffer = new Uint8Array(1024 * 64); 18 18 + while (true) { 19 19 + const n = await Deno.stdin.read(buffer); 20 20 + if (n === null) { 21 21 + const remaining = stdinBuffer; 22 22 + stdinBuffer = ""; 23 23 + if (remaining.length > 0) { 24 24 + return remaining; 25 25 + } 26 26 + throw new Error("Unexpected EOF while waiting for tool response"); 27 27 + } 28 28 + 29 29 + stdinBuffer += decoder.decode(buffer.subarray(0, n)); 30 30 + 31 31 + const idx = stdinBuffer.indexOf("\n"); 32 32 + if (idx !== -1) { 33 33 + const line = stdinBuffer.slice(0, idx); 34 34 + stdinBuffer = stdinBuffer.slice(idx + 1); 35 35 + return line; 36 36 + } 37 37 + } 38 38 + } 39 39 + 40 40 + export async function callTool<T>( 41 41 + tool: string, 42 42 + params: Record<string, unknown>, 43 43 + ): Promise<T> { 44 44 + const request = JSON.stringify({ __tool_call__: true, tool, params }); 45 45 + await Deno.stdout.write(encoder.encode(request + "\n")); 46 46 + 47 47 + const line = await readLine(); 48 48 + 49 49 + let response: { __tool_result__?: T; __tool_error__?: string }; 50 50 + try { 51 51 + response = JSON.parse(line); 52 52 + } catch { 53 53 + throw new Error(`Invalid JSON response from Python: ${line}`); 54 54 + } 55 55 + 56 56 + if ("__tool_error__" in response && response.__tool_error__ !== undefined) { 57 57 + throw new Error(response.__tool_error__); 58 58 + } 59 59 + 60 60 + if (!("__tool_result__" in response)) { 61 61 + throw new Error(`Invalid response format: ${line}`); 62 62 + } 63 63 + 64 64 + return response.__tool_result__ as T; 65 65 + } 66 66 + 67 67 + export function output(value: unknown): void { 68 68 + const message = JSON.stringify({ __output__: value }); 69 69 + Deno.stdout.writeSync(encoder.encode(message + "\n")); 70 70 + } 71 71 + 72 72 + export function debug(...args: unknown[]): void { 73 73 + const message = JSON.stringify({ 74 74 + __debug__: args 75 75 + .map((a) => (typeof a === "string" ? a : JSON.stringify(a))) 76 76 + .join(" "), 77 77 + }); 78 78 + Deno.stdout.writeSync(encoder.encode(message + "\n")); 79 79 + }

+26

src/tools/deno/tools.ts

··· 1 1 + // Auto-generated - do not edit 2 2 + import { callTool } from "./runtime.ts"; 3 3 + 4 4 + export const clickhouse = { 5 5 + /** Get database schema information including tables and their columns */ 6 6 + getSchema: (database?: string): Promise<unknown> => callTool("clickhouse.getSchema", { database }), 7 7 + 8 8 + /** Execute a SQL query against ClickHouse and return the results */ 9 9 + query: (sql: string): Promise<unknown> => callTool("clickhouse.query", { sql }), 10 10 + }; 11 11 + 12 12 + export const osprey = { 13 13 + /** Get Osprey configuration including available features, labels, and rules */ 14 14 + getConfig: (): Promise<unknown> => callTool("osprey.getConfig", {}), 15 15 + 16 16 + /** Get available UDFs (user-defined functions) for rule writing */ 17 17 + getUdfs: (): Promise<unknown> => callTool("osprey.getUdfs", {}), 18 18 + }; 19 19 + 20 20 + export const ozone = { 21 21 + /** Apply a moderation label to a subject (account or content) */ 22 22 + applyLabel: (subject: string, label: string): Promise<unknown> => callTool("ozone.applyLabel", { subject, label }), 23 23 + 24 24 + /** Remove a moderation label from a subject */ 25 25 + removeLabel: (subject: string, label: string): Promise<unknown> => callTool("ozone.removeLabel", { subject, label }), 26 26 + };

+203

src/tools/executor.py

··· 1 1 + import asyncio 2 2 + import json 3 3 + import logging 4 4 + import os 5 5 + from pathlib import Path 6 6 + from typing import Any 7 7 + 8 8 + from src.tools.registry import ToolContext, ToolRegistry 9 9 + 10 10 + logger = logging.getLogger(__name__) 11 11 + 12 12 + # Path to the Deno runtime files 13 13 + DENO_DIR = Path(__file__).parent / "deno" 14 14 + 15 15 + 16 16 + class ToolExecutor: 17 17 + """An executor that runs Typescript code in a deno subprocess""" 18 18 + 19 19 + def __init__(self, registry: ToolRegistry, ctx: ToolContext) -> None: 20 20 + self._registry = registry 21 21 + self._ctx = ctx 22 22 + 23 23 + async def execute_code(self, code: str) -> dict[str, Any]: 24 24 + """ 25 25 + execute Typescript code in a deno subprocess. 26 26 + 27 27 + code has access to tools defined in the registry via the generated typescript 28 28 + stubs. calls are bridged to pythin via stdin/out 29 29 + 30 30 + Returns: 31 31 + A dict with keys: 32 32 + - "success": bool 33 33 + - "output": The final output (if any) 34 34 + - "debug": List of debug messages 35 35 + - "error": Error message (if failed) 36 36 + """ 37 37 + 38 38 + self._write_generated_tools() 39 39 + 40 40 + import tempfile 41 41 + 42 42 + with tempfile.NamedTemporaryFile( 43 43 + mode="w", suffix=".ts", delete=False, dir=DENO_DIR 44 44 + ) as f: 45 45 + # start by adding all the imports that we need... 46 46 + full_code = f""" 47 47 + import {{ output, debug }} from "./runtime.ts"; 48 48 + import * as tools from "./tools.ts"; 49 49 + export {{ tools }}; 50 50 + 51 51 + {code} 52 52 + """ 53 53 + f.write(full_code) 54 54 + temp_path = f.name 55 55 + 56 56 + try: 57 57 + return await self._run_deno(temp_path) 58 58 + finally: 59 59 + os.unlink(temp_path) 60 60 + 61 61 + def _write_generated_tools(self) -> None: 62 62 + """generate tool stubs and write them to the deno directory""" 63 63 + 64 64 + tools_ts = self._registry.generate_typescript_types() 65 65 + tools_path = DENO_DIR / "tools.ts" 66 66 + tools_path.write_text(tools_ts) 67 67 + 68 68 + async def _run_deno(self, script_path: str) -> dict[str, Any]: 69 69 + """run the input script in a deno subprocess""" 70 70 + 71 71 + # spawn a subprocess that executes deno. the deno sandbox has no permissions for network, execing, etc 72 72 + # all it can do is read the input directory and read/write from stdin/out 73 73 + process = await asyncio.create_subprocess_exec( 74 74 + "deno", 75 75 + "run", 76 76 + "--allow-read=" + str(DENO_DIR), # allow just reading of the deno directory 77 77 + script_path, 78 78 + stdin=asyncio.subprocess.PIPE, 79 79 + stdout=asyncio.subprocess.PIPE, 80 80 + stderr=asyncio.subprocess.PIPE, 81 81 + ) 82 82 + 83 83 + assert process.stdin is not None 84 84 + assert process.stdout is not None 85 85 + assert process.stderr is not None 86 86 + 87 87 + outputs: list[Any] = [] 88 88 + debug_messages: list[str] = [] 89 89 + error: str | None = None 90 90 + 91 91 + try: 92 92 + while True: 93 93 + # start reading the response from deno, with a 30 second timeout 94 94 + line = await asyncio.wait_for(process.stdout.readline(), timeout=30.0) 95 95 + 96 96 + # if there are no more lines we're finished... 97 97 + if not line: 98 98 + break 99 99 + 100 100 + line_str = line.decode().strip() 101 101 + if not line_str: 102 102 + continue 103 103 + 104 104 + try: 105 105 + message = json.loads(line_str) 106 106 + except json.JSONDecodeError: 107 107 + debug_messages.append(line_str) 108 108 + continue 109 109 + 110 110 + # whenever we encounter a tool call, we then need to execute that tool and give 111 111 + # it the response 112 112 + if "__tool_call__" in message: 113 113 + tool_name = message["tool"] 114 114 + params = message["params"] 115 115 + logger.info(f"Tool call: {tool_name} with params: {params}") 116 116 + 117 117 + try: 118 118 + result = await self._registry.execute( 119 119 + self._ctx, tool_name, params 120 120 + ) 121 121 + response = json.dumps({"__tool_result__": result}) 122 122 + except Exception as e: 123 123 + logger.exception(f"Tool error: {tool_name}") 124 124 + response = json.dumps({"__tool_error__": str(e)}) 125 125 + 126 126 + process.stdin.write((response + "\n").encode()) 127 127 + await process.stdin.drain() 128 128 + 129 129 + elif "__output__" in message: 130 130 + outputs.append(message["__output__"]) 131 131 + 132 132 + elif "__debug__" in message: 133 133 + debug_messages.append(message["__debug__"]) 134 134 + 135 135 + else: 136 136 + debug_messages.append(line_str) 137 137 + 138 138 + # make sure that we kill deno subprocess if the execution times out 139 139 + except asyncio.TimeoutError: 140 140 + process.kill() 141 141 + error = "execution timed out after 30 seconds" 142 142 + # also kill it for any other exceptiosn we encounter 143 143 + except Exception as e: 144 144 + process.kill() 145 145 + error = str(e) 146 146 + 147 147 + await process.wait() 148 148 + 149 149 + stderr_content = await process.stderr.read() 150 150 + if stderr_content: 151 151 + stderr_str = stderr_content.decode().strip() 152 152 + if stderr_str: 153 153 + if error: 154 154 + error += f"\n\nStderr:\n{stderr_str}" 155 155 + else: 156 156 + error = stderr_str 157 157 + 158 158 + success = process.returncode == 0 and error is None 159 159 + 160 160 + result: dict[str, Any] = { 161 161 + "success": success, 162 162 + "debug": debug_messages, 163 163 + } 164 164 + 165 165 + if outputs: 166 166 + result["output"] = outputs[-1] if len(outputs) == 1 else outputs 167 167 + 168 168 + if error: 169 169 + result["error"] = error 170 170 + 171 171 + return result 172 172 + 173 173 + def get_execute_code_tool_definition(self) -> dict[str, Any]: 174 174 + """get the anthropic tool definition for execute_code, including all the docs for available backend tools""" 175 175 + 176 176 + tool_docs = self._registry.generate_tool_documentation() 177 177 + 178 178 + description = f"""Execute Typescript code in a sandboxed Deno runtime. 179 179 + 180 180 + The code has access to backend tools via the `tools` namespace. Use `output()` to return results. 181 181 + 182 182 + Example: 183 183 + ```typescript 184 184 + const result = await tools.clickhouse.query("SELECT count() FROM events"); 185 185 + output(result); 186 186 + ``` 187 187 + 188 188 + {tool_docs}""" 189 189 + 190 190 + return { 191 191 + "name": "execute_code", 192 192 + "description": description, 193 193 + "input_schema": { 194 194 + "type": "object", 195 195 + "properties": { 196 196 + "code": { 197 197 + "type": "string", 198 198 + "description": "Typescript code to execute. Has access to `tools` namespace and `output()` function.", 199 199 + } 200 200 + }, 201 201 + "required": ["code"], 202 202 + }, 203 203 + }

+209

src/tools/registry.py

··· 1 1 + from collections.abc import Awaitable, Callable 2 2 + from typing import Any, Literal 3 3 + 4 4 + from pydantic import BaseModel, ConfigDict 5 5 + 6 6 + from src.clickhouse.clickhouse import Clickhouse 7 7 + from src.osprey.osprey import Osprey 8 8 + from src.ozone.ozone import Ozone 9 9 + 10 10 + 11 11 + class ToolParameter(BaseModel): 12 12 + """tool parameter definition""" 13 13 + 14 14 + name: str 15 15 + type: Literal["string", "number", "boolean", "object", "array"] 16 16 + description: str 17 17 + required: bool = True 18 18 + default: Any = None 19 19 + 20 20 + 21 21 + class Tool(BaseModel): 22 22 + """tool definition that can be executed in deno sandbox""" 23 23 + 24 24 + model_config = ConfigDict(arbitrary_types_allowed=True) 25 25 + 26 26 + name: str 27 27 + description: str 28 28 + parameters: list[ToolParameter] 29 29 + handler: Callable[..., Awaitable[Any]] # async function 30 30 + 31 31 + 32 32 + class ToolContext: 33 33 + """a context that has access to various backend services that are available to deno sandboxed tools""" 34 34 + 35 35 + def __init__( 36 36 + self, 37 37 + clickhouse: Clickhouse | None = None, 38 38 + osprey: Osprey | None = None, 39 39 + ozone: Ozone | None = None, 40 40 + ) -> None: 41 41 + self._clickhouse = clickhouse 42 42 + self._osprey = osprey 43 43 + self._ozone = ozone 44 44 + 45 45 + @property 46 46 + def clickhouse(self) -> Clickhouse: 47 47 + if self._clickhouse is None: 48 48 + raise RuntimeError("Clickhouse client not configured") 49 49 + return self._clickhouse 50 50 + 51 51 + @property 52 52 + def osprey(self) -> Osprey: 53 53 + if self._osprey is None: 54 54 + raise RuntimeError("Osprey client not configured") 55 55 + return self._osprey 56 56 + 57 57 + @property 58 58 + def ozone(self) -> Ozone: 59 59 + if self._ozone is None: 60 60 + raise RuntimeError("Ozone client not configured") 61 61 + return self._ozone 62 62 + 63 63 + 64 64 + class ToolRegistry: 65 65 + """a registry of all the available tools""" 66 66 + 67 67 + def __init__(self) -> None: 68 68 + self._tools: dict[str, Tool] = {} 69 69 + 70 70 + def register(self, tool: Tool) -> None: 71 71 + self._tools[tool.name] = tool 72 72 + 73 73 + def get(self, name: str) -> Tool | None: 74 74 + return self._tools.get(name) 75 75 + 76 76 + def all_tools(self) -> list[Tool]: 77 77 + return list(self._tools.values()) 78 78 + 79 79 + def tool( 80 80 + self, 81 81 + name: str, 82 82 + description: str, 83 83 + parameters: list[ToolParameter] | None = None, 84 84 + ) -> Callable[[Callable[..., Awaitable[Any]]], Callable[..., Awaitable[Any]]]: 85 85 + """the main tool decorator for tools that you create""" 86 86 + 87 87 + def decorator( 88 88 + func: Callable[..., Awaitable[Any]], 89 89 + ) -> Callable[..., Awaitable[Any]]: 90 90 + tool = Tool( 91 91 + name=name, 92 92 + description=description, 93 93 + parameters=parameters or [], 94 94 + handler=func, 95 95 + ) 96 96 + self.register(tool) 97 97 + return func 98 98 + 99 99 + return decorator 100 100 + 101 101 + async def execute(self, ctx: ToolContext, name: str, params: dict[str, Any]) -> Any: 102 102 + tool = self.get(name) 103 103 + if tool is None: 104 104 + raise ValueError(f"Unknown tool: {name}") 105 105 + return await tool.handler(ctx, **params) 106 106 + 107 107 + def generate_tool_documentation(self) -> str: 108 108 + """generated tool documentation is passed to the llm so it knows how to run a given command inside its execute_tool call""" 109 109 + 110 110 + lines = ["# Available Tools\n"] 111 111 + lines.append( 112 112 + "These tools are available to call from TypeScript code in execute_code:\n" 113 113 + ) 114 114 + 115 115 + by_namespace: dict[str, list[Tool]] = {} 116 116 + for tool in self._tools.values(): 117 117 + namespace = tool.name.split(".")[0] 118 118 + by_namespace.setdefault(namespace, []).append(tool) 119 119 + 120 120 + for namespace, tools in sorted(by_namespace.items()): 121 121 + lines.append(f"## {namespace}\n") 122 122 + for tool in sorted(tools, key=lambda t: t.name): 123 123 + lines.append(f"### {tool.name}") 124 124 + lines.append(f"{tool.description}\n") 125 125 + if tool.parameters: 126 126 + lines.append("**Parameters:**") 127 127 + for param in tool.parameters: 128 128 + req = "" if param.required else " (optional)" 129 129 + default = ( 130 130 + f", default: {param.default}" 131 131 + if param.default is not None 132 132 + else "" 133 133 + ) 134 134 + lines.append( 135 135 + f"- `{param.name}` ({param.type}{req}{default}): {param.description}" 136 136 + ) 137 137 + lines.append("") 138 138 + 139 139 + return "\n".join(lines) 140 140 + 141 141 + def generate_typescript_types(self) -> str: 142 142 + lines = [ 143 143 + "// Auto-generated - do not edit", 144 144 + 'import { callTool } from "./runtime.ts";', 145 145 + "", 146 146 + ] 147 147 + 148 148 + by_namespace: dict[str, list[Tool]] = {} 149 149 + for tool in self._tools.values(): 150 150 + namespace = tool.name.split(".")[0] 151 151 + by_namespace.setdefault(namespace, []).append(tool) 152 152 + 153 153 + for namespace, tools in sorted(by_namespace.items()): 154 154 + lines.append(f"export const {namespace} = {{") 155 155 + for i, tool in enumerate(sorted(tools, key=lambda t: t.name)): 156 156 + method_name = tool.name.split(".", 1)[1] 157 157 + 158 158 + required_params = [p for p in tool.parameters if p.required] 159 159 + optional_params = [p for p in tool.parameters if not p.required] 160 160 + ordered_params = required_params + optional_params 161 161 + 162 162 + params: list[str] = [] 163 163 + for param in ordered_params: 164 164 + ts_type = self._python_type_to_ts(param.type) 165 165 + if param.required: 166 166 + params.append(f"{param.name}: {ts_type}") 167 167 + else: 168 168 + params.append(f"{param.name}?: {ts_type}") 169 169 + 170 170 + param_str = ", ".join(params) 171 171 + 172 172 + param_names = [p.name for p in tool.parameters] 173 173 + params_obj = ( 174 174 + "{ " + ", ".join(param_names) + " }" if param_names else "{}" 175 175 + ) 176 176 + 177 177 + lines.append(f" /** {tool.description} */") 178 178 + lines.append( 179 179 + f' {method_name}: ({param_str}): Promise<unknown> => callTool("{tool.name}", {params_obj}),' 180 180 + ) 181 181 + if i < len(tools) - 1: 182 182 + lines.append("") 183 183 + 184 184 + lines.append("};") 185 185 + lines.append("") 186 186 + 187 187 + return "\n".join(lines) 188 188 + 189 189 + def _python_type_to_ts(self, py_type: str) -> str: 190 190 + mapping = { 191 191 + "string": "string", 192 192 + "number": "number", 193 193 + "boolean": "boolean", 194 194 + "object": "Record<string, unknown>", 195 195 + "array": "unknown[]", 196 196 + } 197 197 + return mapping.get(py_type, "unknown") 198 198 + 199 199 + def _default_to_ts(self, value: Any) -> str: 200 200 + if value is None: 201 201 + return "undefined" 202 202 + if isinstance(value, bool): 203 203 + return "true" if value else "false" 204 204 + if isinstance(value, str): 205 205 + return f'"{value}"' 206 206 + return str(value) 207 207 + 208 208 + 209 209 + TOOL_REGISTRY = ToolRegistry()

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