diff --git a/assistants/skill-assistant/assistant/assistant_registry.py b/assistants/skill-assistant/assistant/assistant_registry.py index b26602a5..e3c4adfc 100644 --- a/assistants/skill-assistant/assistant/assistant_registry.py +++ b/assistants/skill-assistant/assistant/assistant_registry.py @@ -1,10 +1,6 @@ import asyncio -from os import PathLike -from pathlib import Path -from typing import Optional -from openai_client.chat_driver import ChatDriverConfig -from skill_library import Assistant, Skill +from skill_library import Assistant from .logging import extra_data, logger from .skill_event_mapper import SkillEventMapperProtocol @@ -22,32 +18,6 @@ def __init__(self) -> None: self.assistants: dict[str, Assistant] = {} # self.tasks: set[asyncio.Task] = set() - async def get_or_register_assistant( - self, - assistant_id: str, - event_mapper: SkillEventMapperProtocol, - chat_driver_config: ChatDriverConfig, - assistant_name: str = "Assistant", - skills: Optional[dict[str, "Skill"]] = None, - drive_root: PathLike | None = None, - metadata_drive_root: PathLike | None = None, - ) -> Assistant: - """ - Get or create an assistant for the given conversation context. - """ - assistant = self.get_assistant(assistant_id) - if not assistant: - assistant = await self.register_assistant( - assistant_id, - event_mapper, - chat_driver_config, - assistant_name, - skills, - drive_root, - metadata_drive_root, - ) - return assistant - def get_assistant( self, assistant_id: str, @@ -58,13 +28,8 @@ def get_assistant( async def register_assistant( self, - assistant_id: str, + assistant: Assistant, event_mapper: SkillEventMapperProtocol, - chat_driver_config: ChatDriverConfig, - assistant_name: str = "Assistant", - skills: dict[str, Skill] | None = None, - drive_root: PathLike | None = None, - metadata_drive_root: PathLike | None = None, ) -> Assistant: """ Define the skill assistant that you want to have backing this assistant @@ -72,24 +37,14 @@ async def register_assistant( to include here. """ - logger.debug("Registering assistant.", extra_data({"assistant_id": assistant_id})) - - # Create the assistant. - assistant = Assistant( - name=assistant_name, - assistant_id=assistant_id, - drive_root=drive_root or Path(".data") / assistant_id / "assistant", - metadata_drive_root=metadata_drive_root or Path(".data") / assistant_id / ".assistant", - chat_driver_config=chat_driver_config, - skills=skills, - ) + logger.debug("Registering assistant.", extra_data({"assistant_id": assistant.assistant_id})) # Assistant event consumer. async def subscribe() -> None: """Event consumer for the assistant.""" logger.debug( "Assistant event subscription started in the assistant registry.", - extra_data({"assistant_id": assistant_id}), + extra_data({"assistant_id": assistant.assistant_id}), ) async for skill_event in assistant.events: logger.debug( @@ -104,11 +59,11 @@ async def subscribe() -> None: await assistant.wait() logger.debug( "Assistant event subscription stopped in the assistant registry.", - extra_data({"assistant_id": assistant_id}), + extra_data({"assistant_id": assistant.assistant_id}), ) # Register the assistant. - self.assistants[assistant_id] = assistant + self.assistants[assistant.assistant_id] = assistant # Start an event consumer task and save a reference. # task = asyncio.create_task(subscribe()) diff --git a/assistants/skill-assistant/assistant/logging.py b/assistants/skill-assistant/assistant/logging.py index 70d398a0..aa3d9f79 100644 --- a/assistants/skill-assistant/assistant/logging.py +++ b/assistants/skill-assistant/assistant/logging.py @@ -37,9 +37,10 @@ def default(self, o): return super().default(o) -def extra_data(data: Any) -> dict[str, Any]: +def add_serializable_data(data: Any) -> dict[str, Any]: """ - Helper function to use when adding extra data to log messages. + Helper function to use when adding extra data to log messages. Data will + attempt to be put into a serializable format. """ extra = {} @@ -58,4 +59,4 @@ def extra_data(data: Any) -> dict[str, Any]: return extra -extra_data = extra_data +extra_data = add_serializable_data diff --git a/assistants/skill-assistant/assistant/skill_assistant.py b/assistants/skill-assistant/assistant/skill_assistant.py index b4c0bd6a..2e5d33cf 100644 --- a/assistants/skill-assistant/assistant/skill_assistant.py +++ b/assistants/skill-assistant/assistant/skill_assistant.py @@ -12,11 +12,11 @@ import openai_client from assistant_drive import Drive, DriveConfig +from common_skill import CommonSkillDefinition from content_safety.evaluators import CombinedContentSafetyEvaluator -from form_filler_skill import FormFillerSkill -from guided_conversation_skill import GuidedConversationSkill +from guided_conversation_skill import GuidedConversationSkillDefinition from openai_client.chat_driver import ChatDriverConfig -from posix_skill import PosixSkill +from posix_skill import PosixSkillDefinition from semantic_workbench_api_model.workbench_model import ( ConversationEvent, ConversationMessage, @@ -30,6 +30,7 @@ ContentSafetyEvaluator, ConversationContext, ) +from skill_library import Assistant from skill_library.types import Metadata from assistant.skill_event_mapper import SkillEventMapper @@ -58,8 +59,8 @@ # Create the content safety interceptor. -async def content_evaluator_factory(context: ConversationContext) -> ContentSafetyEvaluator: - config = await assistant_config.get(context.assistant) +async def content_evaluator_factory(conversation_context: ConversationContext) -> ContentSafetyEvaluator: + config = await assistant_config.get(conversation_context.assistant) return CombinedContentSafetyEvaluator(config.content_safety_config) @@ -178,7 +179,23 @@ async def respond_to_conversation( """ Respond to a conversation message. """ + assistant = await get_or_register_assistant(conversation_context, config) + try: + await assistant.put_message(message.content, metadata) + except Exception as e: + logger.exception("Exception in on_message_created.") + await conversation_context.send_messages( + NewConversationMessage( + message_type=MessageType.note, + content=f"Unhandled error: {e}", + ) + ) + +# Get or register an assistant for the conversation. +async def get_or_register_assistant( + conversation_context: ConversationContext, config: AssistantConfigModel +) -> Assistant: # Get an assistant from the registry. assistant_id = conversation_context.id assistant = assistant_registry.get_assistant(assistant_id) @@ -194,26 +211,32 @@ async def respond_to_conversation( model=config.chat_driver_config.openai_model, instructions=config.chat_driver_config.instructions, ) - assistant = await assistant_registry.register_assistant( + + assistant = Assistant( assistant_id=conversation_context.id, - assistant_name="Assistant", - event_mapper=SkillEventMapper(conversation_context), + name="Assistant", chat_driver_config=chat_driver_config, drive_root=assistant_drive_root, metadata_drive_root=assistant_metadata_drive_root, skills={ - "posix": PosixSkill( + "common": CommonSkillDefinition( + name="common", + language_model=language_model, + drive=assistant_drive.subdrive("common"), + chat_driver_config=chat_driver_config, + ), + "posix": PosixSkillDefinition( name="posix", sandbox_dir=Path(".data") / conversation_context.id, chat_driver_config=chat_driver_config, mount_dir="/mnt/data", ), - "form_filler": FormFillerSkill( - name="form_filler", - chat_driver_config=chat_driver_config, - language_model=language_model, - ), - "guided_conversation": GuidedConversationSkill( + # "form_filler": FormFillerSkill( + # name="form_filler", + # chat_driver_config=chat_driver_config, + # language_model=language_model, + # ), + "guided_conversation": GuidedConversationSkillDefinition( name="guided_conversation", language_model=language_model, drive=assistant_drive.subdrive("guided_conversation"), @@ -222,13 +245,6 @@ async def respond_to_conversation( }, ) - try: - await assistant.put_message(message.content, metadata) - except Exception as e: - logger.exception("Exception in on_message_created.") - await conversation_context.send_messages( - NewConversationMessage( - message_type=MessageType.note, - content=f"Unhandled error: {e}", - ) - ) + await assistant_registry.register_assistant(assistant, SkillEventMapper(conversation_context)) + + return assistant diff --git a/assistants/skill-assistant/pyproject.toml b/assistants/skill-assistant/pyproject.toml index 62802f34..6212c77b 100644 --- a/assistants/skill-assistant/pyproject.toml +++ b/assistants/skill-assistant/pyproject.toml @@ -10,7 +10,7 @@ dependencies = [ "azure-core[aio]>=1.30.0", "azure-identity>=1.16.0", "content-safety>=0.1.0", - "context>=0.1.0", + "common-skill>=0.1.0", # "document-skill>=0.1.0", "form-filler-skill>=0.1.0", "guided-conversation-skill>=0.1.0", @@ -18,6 +18,7 @@ dependencies = [ "openai>=1.3.9", "posix-skill>=0.1.0", "semantic-workbench-assistant>=0.1.0", + "bs4>=0.0.2", ] [dependency-groups] @@ -34,8 +35,8 @@ package = true [tool.uv.sources] content-safety = { path = "../../libraries/python/content-safety", editable = true } -context = { path = "../../libraries/python/context", editable = true } # document-skill = { path = "../../libraries/python/skills/skills/document-skill", editable = true } +common-skill = { path = "../../libraries/python/skills/skills/common-skill", editable = true } form-filler-skill = { path = "../../libraries/python/skills/skills/form-filler-skill", editable = true } guided-conversation-skill = { path = "../../libraries/python/skills/skills/guided-conversation-skill", editable = true } openai-client = { path = "../../libraries/python/openai-client", editable = true } diff --git a/assistants/skill-assistant/uv.lock b/assistants/skill-assistant/uv.lock index 59d967c2..9d2fdf39 100644 --- a/assistants/skill-assistant/uv.lock +++ b/assistants/skill-assistant/uv.lock @@ -189,8 +189,9 @@ dependencies = [ { name = "azure-ai-contentsafety" }, { name = "azure-core", extra = ["aio"] }, { name = "azure-identity" }, + { name = "bs4" }, + { name = "common-skill" }, { name = "content-safety" }, - { name = "context" }, { name = "form-filler-skill" }, { name = "guided-conversation-skill" }, { name = "openai" }, @@ -210,8 +211,9 @@ requires-dist = [ { name = "azure-ai-contentsafety", specifier = ">=1.0.0" }, { name = "azure-core", extras = ["aio"], specifier = ">=1.30.0" }, { name = "azure-identity", specifier = ">=1.16.0" }, + { name = "bs4", specifier = ">=0.0.2" }, + { name = "common-skill", editable = "../../libraries/python/skills/skills/common-skill" }, { name = "content-safety", editable = "../../libraries/python/content-safety" }, - { name = "context", editable = "../../libraries/python/context" }, { name = "form-filler-skill", editable = "../../libraries/python/skills/skills/form-filler-skill" }, { name = "guided-conversation-skill", editable = "../../libraries/python/skills/skills/guided-conversation-skill" }, { name = "openai", specifier = ">=1.3.9" }, @@ -369,6 +371,30 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/df/73/b6e24bd22e6720ca8ee9a85a0c4a2971af8497d8f3193fa05390cbd46e09/backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8", size = 15148 }, ] +[[package]] +name = "beautifulsoup4" +version = "4.12.3" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "soupsieve" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b3/ca/824b1195773ce6166d388573fc106ce56d4a805bd7427b624e063596ec58/beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051", size = 581181 } +wheels = [ + { url = 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"https://files.pythonhosted.org/packages/e6/75/49e5bfe642f71f272236b5b2d2691cf915a7283cc0ceda56357b61daa538/comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3", size = 7180 }, ] +[[package]] +name = "common-skill" +version = "0.1.0" +source = { editable = "../../libraries/python/skills/skills/common-skill" } +dependencies = [ + { name = "assistant-drive" }, + { name = "bs4" }, + { name = "events" }, + { name = "jsonschema" }, + { name = "openai-client" }, + { name = "skill-library" }, +] + +[package.metadata] +requires-dist = [ + { name = "assistant-drive", editable = "../../libraries/python/assistant-drive" }, + { name = "bs4", specifier = ">=0.0.2" }, + { name = "events", editable = "../../libraries/python/events" }, + { name = "jsonschema", specifier = ">=4.23.0" }, + { name = "openai-client", editable = "../../libraries/python/openai-client" }, + { name = "skill-library", editable = "../../libraries/python/skills/skill-library" }, +] + +[package.metadata.requires-dev] +dev = [ + { name = "ipykernel", specifier = ">=6.29.4" }, + { name = "pyright", specifier = ">=1.1.389" }, + { name = "pytest", specifier = ">=8.3.1" }, + { name = "pytest-asyncio", specifier = ">=0.23.8" }, + { name = "pytest-repeat", specifier = ">=0.9.3" }, +] + [[package]] name = "content-safety" version = "0.1.0" @@ -2197,6 +2255,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235 }, ] +[[package]] +name = "soupsieve" +version = "2.6" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/d7/ce/fbaeed4f9fb8b2daa961f90591662df6a86c1abf25c548329a86920aedfb/soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb", size = 101569 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/d1/c2/fe97d779f3ef3b15f05c94a2f1e3d21732574ed441687474db9d342a7315/soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9", size = 36186 }, +] + [[package]] name = "stack-data" version = "0.6.3" diff --git a/libraries/python/openai-client/openai_client/__init__.py b/libraries/python/openai-client/openai_client/__init__.py index 6682fa64..3d2598f9 100644 --- a/libraries/python/openai-client/openai_client/__init__.py +++ b/libraries/python/openai-client/openai_client/__init__.py @@ -18,6 +18,7 @@ ) from .logging import ( add_serializable_data, + extra_data, make_completion_args_serializable, ) from .messages import ( @@ -48,6 +49,7 @@ "create_assistant_message", "create_system_message", "create_user_message", + "extra_data", "format_with_dict", "format_with_liquid", "make_completion_args_serializable", diff --git a/libraries/python/openai-client/openai_client/chat_driver/chat_driver.py b/libraries/python/openai-client/openai_client/chat_driver/chat_driver.py index f5d9a2e0..634f5bd1 100644 --- a/libraries/python/openai-client/openai_client/chat_driver/chat_driver.py +++ b/libraries/python/openai-client/openai_client/chat_driver/chat_driver.py @@ -105,7 +105,7 @@ def register_function(self, function: Callable) -> None: def register_functions(self, functions: list[Callable]) -> None: for function in functions: - self.register_function + self.register_function(function) # Sometimes we want to register a function to be used by both the user and # the model. diff --git a/libraries/python/openai-client/openai_client/logging.py b/libraries/python/openai-client/openai_client/logging.py index 00b88a69..ca271570 100644 --- a/libraries/python/openai-client/openai_client/logging.py +++ b/libraries/python/openai-client/openai_client/logging.py @@ -1,6 +1,8 @@ import inspect import json +from datetime import datetime from typing import Any +from uuid import UUID from openai import ( NotGiven, @@ -30,15 +32,45 @@ def make_completion_args_serializable(completion_args: dict[str, Any]) -> dict[s return sanitized +def convert_to_serializable(data: Any) -> Any: + """ + Recursively convert Pydantic BaseModel instances to dictionaries. + """ + if isinstance(data, BaseModel): + return data.model_dump() + elif isinstance(data, dict): + return {key: convert_to_serializable(value) for key, value in data.items()} + elif isinstance(data, list): + return [convert_to_serializable(item) for item in data] + elif isinstance(data, tuple): + return tuple(convert_to_serializable(item) for item in data) + elif isinstance(data, set): + return {convert_to_serializable(item) for item in data} + return data + + +class CustomEncoder(json.JSONEncoder): + def default(self, o): + if isinstance(o, UUID): + return str(o) + if isinstance(o, datetime): + return o.isoformat() + return super().default(o) + + def add_serializable_data(data: Any) -> dict[str, Any]: """ - Helper function to use when adding extra data to log messages. + Helper function to use when adding extra data to log messages. Data will + attempt to be put into a serializable format. """ extra = {} + # Convert to serializable. + data = convert_to_serializable(data) + # Ensure data is a JSON-serializable object. try: - data = json.loads(json.dumps(data)) + data = json.loads(json.dumps(data, cls=CustomEncoder)) except Exception as e: data = str(e) @@ -46,3 +78,6 @@ def add_serializable_data(data: Any) -> dict[str, Any]: extra["data"] = data return extra + + +extra_data = add_serializable_data diff --git a/libraries/python/openai-client/openai_client/tools.py b/libraries/python/openai-client/openai_client/tools.py index 3fa116ab..e63eb13f 100644 --- a/libraries/python/openai-client/openai_client/tools.py +++ b/libraries/python/openai-client/openai_client/tools.py @@ -197,23 +197,16 @@ def schema(self, strict: bool = True) -> dict[str, Any]: return schema - async def execute(self, string_response: bool = False, *args, **kwargs) -> Any: + async def execute(self, *args, **kwargs) -> Any: """ Run this function, and return its value. If the function is a coroutine, it will be awaited. If string_response is True, the response will be converted to a string. """ - try: - result = self.fn(*args, **kwargs) - if inspect.iscoroutine(result): - result = await result - if string_response: - return to_string(result) - return result - except Exception as e: - if string_response: - return f"Error running function {self.name}: {e}" - raise e + result = self.fn(*args, **kwargs) + if inspect.iscoroutine(result): + result = await result + return result class FunctionHandler: @@ -240,7 +233,7 @@ class ToolFunctions: def __init__(self, functions: list[ToolFunction] | None = None, with_help: bool = False) -> None: # Set up function map. - self.function_map = {} + self.function_map: dict[str, ToolFunction] = {} if functions: for function in functions: self.function_map[function.name] = function @@ -257,7 +250,7 @@ def help(self) -> str: usage = [f"{command.usage()}" for command in self.function_map.values()] usage.sort() - return "Commands:\n" + "\n".join(usage) + return "```text\nCommands:\n" + "\n".join(usage) + "\n```" def add_function(self, function: Callable, name: str | None = None, description: str | None = None) -> None: """Register a function with the tool functions.""" @@ -284,7 +277,9 @@ async def execute_function( function = self.get_function(name) if not function: raise ValueError(f"Function {name} not found in registry.") - return await function.execute(string_response, *args, **kwargs) + response = await function.execute(*args, **kwargs) + if string_response: + return to_string(response) async def execute_function_string(self, function_string: str, string_response: bool = False) -> Any: """Parse a function string and execute the function.""" @@ -294,7 +289,9 @@ async def execute_function_string(self, function_string: str, string_response: b raise ValueError(f"{e}. Type: `/help` for more information.") if not function: raise ValueError("Function not found in registry. Type: `/help` for more information.") - return await function.execute(string_response, *args, **kwargs) + response = await function.execute(*args, **kwargs) + if string_response: + return to_string(response) def parse_function_string(self, function_string: str) -> tuple[ToolFunction | None, list[Any], dict[str, Any]]: """Parse a function call string into a function and its arguments.""" diff --git a/libraries/python/skills/skill-library/skill_library/__init__.py b/libraries/python/skills/skill-library/skill_library/__init__.py index 42bb9413..46112158 100644 --- a/libraries/python/skills/skill-library/skill_library/__init__.py +++ b/libraries/python/skills/skill-library/skill_library/__init__.py @@ -1,16 +1,24 @@ from context import Context +from .actions import ActionCallable from .assistant import Assistant +from .chat_driver_helpers import ChatDriverFunctions from .routine import InstructionRoutine, ProgramRoutine, RoutineTypes, StateMachineRoutine -from .skill import EmitterType, Skill +from .run_context import RunContext, RunContextProvider +from .skill import EmitterType, Skill, SkillDefinition __all__ = [ + "ActionCallable", "Assistant", + "ChatDriverFunctions", "Context", "EmitterType", "StateMachineRoutine", "InstructionRoutine", "ProgramRoutine", "RoutineTypes", + "RunContext", + "RunContextProvider", "Skill", + "SkillDefinition", ] diff --git a/libraries/python/skills/skill-library/skill_library/actions.py b/libraries/python/skills/skill-library/skill_library/actions.py index 7350a97f..ff843a8f 100644 --- a/libraries/python/skills/skill-library/skill_library/actions.py +++ b/libraries/python/skills/skill-library/skill_library/actions.py @@ -1,7 +1,15 @@ import ast import inspect from dataclasses import dataclass -from typing import Any, Callable +from typing import Any, Protocol + +from .run_context import RunContext, RunContextProvider + + +class ActionCallable(Protocol): + def __call__(self, run_context: RunContext, *args: Any, **kwargs: Any) -> Any: ... + + __name__: str @dataclass @@ -16,16 +24,44 @@ class Parameter: description: str | None default_value: Any | None = None + def __str__(self) -> str: + param_type = self.type + try: + param_type = self.type.__name__ + except AttributeError: + param_type = self.type + usage = f"{self.name}: {param_type}" + if self.default_value is not inspect.Parameter.empty: + if isinstance(self.default_value, str): + usage += f' = "{self.default_value}"' + else: + usage += f" = {self.default_value}" + return usage + + +@dataclass +class Usage: + """ + A usage string for this function. This can be used in help messages. + """ + + name: str + parameters: list[Parameter] + description: str + + def __str__(self) -> str: + param_usage = ", ".join(str(param) for param in self.parameters) + return f"{self.name}({param_usage}): {self.description}" + class Action: """ - A tool function is a Python function that can be called as a tool from the - chat completion API. This class wraps a function so you can generate it's - JSON schema for the chat completion API, execute it with arguments, and - generate a usage string (for help messages) + An action is a Python function that can be called as part of a skill. This + class wraps a function and provides metadata about it. It also provides a + way to execute the action with a RunContext. """ - def __init__(self, fn: Callable, name: str | None = None, description: str | None = None) -> None: + def __init__(self, fn: ActionCallable, name: str | None = None, description: str | None = None) -> None: self.fn = fn self.name = name or fn.__name__ self.description = description or inspect.getdoc(fn) or self.name.replace("_", " ").title() @@ -36,7 +72,8 @@ def parameters(self, exclude: list[str] = []) -> list[Parameter]: """ parameters = dict(inspect.signature(self.fn).parameters) for param_name in exclude: - del parameters[param_name] + if param_name in parameters: + del parameters[param_name] return [ Parameter( name=param_name, @@ -47,36 +84,18 @@ def parameters(self, exclude: list[str] = []) -> list[Parameter]: for param_name, param in parameters.items() ] - def usage(self) -> str: + def usage(self) -> Usage: """ A usage string for this function. This can be used in help messages. """ - name = self.name - param_usages = [] - for param in self.parameters(): - param_type = param.type - try: - param_type = param.type.__name__ - except AttributeError: - param_type = param.type - usage = f"{param.name}: {param_type}" - if param.default_value is not inspect.Parameter.empty: - if isinstance(param.default_value, str): - usage += f' = "{param.default_value}"' - else: - usage += f" = {param.default_value}" - param_usages.append(usage) - - description = self.description - return f"{name}({', '.join(param_usages)}): {description}" - - async def execute(self, *args, **kwargs) -> Any: + return Usage(name=self.name, parameters=self.parameters(exclude=["run_context"]), description=self.description) + + async def execute(self, run_context: RunContext, *args, **kwargs) -> Any: """ - Run this function, and return its value. If the function is a coroutine, - it will be awaited. If string_response is True, the response will be - converted to a string. + Run this action, and return its value. If the function is a coroutine, + it will be awaited. """ - result = self.fn(*args, **kwargs) + result = self.fn(run_context, *args, **kwargs) if inspect.iscoroutine(result): result = await result return result @@ -86,30 +105,32 @@ class ActionHandler: def __init__(self, actions: "Actions") -> None: self.actions = actions - def __getattr__(self, name: str) -> Callable: - """Makes registered functions accessible as attributes of the functions object.""" + def __getattr__(self, name: str) -> ActionCallable: + """Makes registered functions accessible as attributes of the Actions object.""" if name not in self.actions.action_map: - raise AttributeError(f"'Actions' object has no attribute '{name}'") + raise AttributeError(f"No action named '{name}'") async def wrapper(*args, **kwargs) -> Any: - return await self.actions.execute_action(name, args, kwargs) + return await self.actions.run_action_by_name(name, args, kwargs) return wrapper class Actions: """ - A set of tool functions that can be called from the Chat Completions API. - Pass this into the `complete_with_tool_calls` helper function to run a full - tool-call completion against the API. + A set of a skill's actions. """ - def __init__(self, actions: list[Action] | None = None, with_help: bool = False) -> None: + def __init__( + self, run_context_provider: RunContextProvider, actions: list[Action] | None = None, with_help: bool = False + ) -> None: # Set up function map. - self.action_map = {} + self.action_map: dict[str, Action] = {} if actions: - for function in actions: - self.action_map[function.name] = function + for action in actions: + self.action_map[action.name] = action + + self.run_context_provider = run_context_provider # A help message can be generated for the function map. if with_help: @@ -118,20 +139,20 @@ def __init__(self, actions: list[Action] | None = None, with_help: bool = False) # This allows actions to be called as attributes. self.functions = ActionHandler(self) - def help(self) -> str: - """Return this help message.""" + def help(self, run_context: RunContext) -> str: + """Return a help message.""" - usage = [f"{command.usage()}" for command in self.action_map.values()] + usage = [f"{action.usage()}" for action in self.action_map.values()] usage.sort() - return "Commands:\n" + "\n".join(usage) + return "Actions:\n" + "\n".join(usage) - def add_function(self, function: Callable, name: str | None = None, description: str | None = None) -> None: + def add_function(self, function: ActionCallable, name: str | None = None, description: str | None = None) -> None: """Register a function as an action.""" if not name: name = function.__name__ self.action_map[name] = Action(function, name, description) - def add_functions(self, functions: list[Callable]) -> None: + def add_functions(self, functions: list[ActionCallable]) -> None: """Register a list of functions as actions.""" for function in functions: self.add_function(function) @@ -143,38 +164,37 @@ def get_action(self, name: str) -> Action | None: return self.action_map.get(name) def get_actions(self) -> list[Action]: - return [function for function in self.action_map.values()] + return list(self.action_map.values()) - async def execute_action( + async def run_action_by_name( self, name: str, args: tuple = (), kwargs: dict[str, Any] = {}, ) -> Any: """ - Run a function from the ToolFunctions list by name. If string_response - is True, the function return value will be converted to a string. + Run an action by name. """ - function = self.get_action(name) - if not function: + action = self.get_action(name) + if not action: raise ValueError(f"Function {name} not found in registry.") - return await function.execute(*args, **kwargs) - async def execute_action_string(self, function_string: str) -> Any: - """Parse a function string and execute the function.""" - try: - function, args, kwargs = self.parse_action_string(function_string) - except ValueError as e: - raise ValueError(f"{e}. Type: `/help` for more information.") - if not function: - raise ValueError("Function not found in registry. Type: `/help` for more information.") - return await function.execute(*args, **kwargs) + run_context = self.run_context_provider.create_run_context() + return await action.execute(run_context, *args, **kwargs) + + async def run_action_string(self, action_string: str) -> Any: + """Parse an action string and execute the action. Used in running routines.""" + # TODO: If used in routines, need to handle skill namespacing (designations). + action, args, kwargs = self.parse_action_string(action_string) + if not action: + raise ValueError("Action not found in registry.") + run_context = self.run_context_provider.create_run_context() + return await action.execute(run_context, *args, **kwargs) def parse_action_string(self, action_string: str) -> tuple[Action | None, list[Any], dict[str, Any]]: - """Parse a function call string into a function and its arguments.""" + """Parse an action string into an action and its arguments.""" - # As a convenience, remove any leading slashes. - action_string = action_string.lstrip("/") + # TODO: If used in routines, need to handle skill namespacing (designations). # As a convenience, add parentheses if they are missing. if " " not in action_string and "(" not in action_string: diff --git a/libraries/python/skills/skill-library/skill_library/assistant.py b/libraries/python/skills/skill-library/skill_library/assistant.py index 474a7b30..67b120d0 100644 --- a/libraries/python/skills/skill-library/skill_library/assistant.py +++ b/libraries/python/skills/skill-library/skill_library/assistant.py @@ -1,6 +1,6 @@ import asyncio from os import PathLike -from typing import Any, AsyncIterator, Optional +from typing import Any, AsyncIterator, Callable, Optional from uuid import uuid4 from assistant_drive import Drive, DriveConfig, IfDriveFileExistsBehavior @@ -21,7 +21,7 @@ from .logging import extra_data, logger from .run_context import RunContext -from .skill import Skill +from .skill import SkillDefinition from .skill_registry import SkillRegistry from .types import Metadata @@ -34,9 +34,11 @@ def __init__( chat_driver_config: ChatDriverConfig, drive_root: PathLike | None = None, metadata_drive_root: PathLike | None = None, - skills: dict[str, Skill] | None = None, + skills: dict[str, SkillDefinition] | None = None, startup_action: str | None = None, startup_routine: str | None = None, + startup_args: tuple = (), + startup_kwargs: dict[str, Any] = {}, ) -> None: # Do we ever use this? No. We don't. It just seems like it would be a # good idea, though. @@ -61,7 +63,7 @@ def __init__( self.routine_stack = RoutineStack(self.metadrive) # Register all skills for the assistant. - self.skill_registry = SkillRegistry(skills, self.routine_stack) if skills else None + self.skill_registry = SkillRegistry(skills, self, self.routine_stack) if skills else None # Set up the assistant event queue. self._event_queue = asyncio.Queue() # Async queue for events @@ -86,6 +88,8 @@ def __init__( self.startup_action = startup_action self.startup_routine = startup_routine + self.startup_args = startup_args + self.startup_kwargs = startup_kwargs async def clear(self) -> None: """Clears the assistant's routine stack and event queue.""" @@ -105,11 +109,11 @@ async def start(self) -> None: # If a startup action is provided, run it. if self.startup_action: - await self.run_action(self.startup_action) + await self.run_action(self.startup_action, *self.startup_args, **self.startup_kwargs) # If a startup routine is provided, run it. if self.startup_routine: - await self.run_routine(self.startup_routine) + await self.run_routine(self.startup_routine, *self.startup_args, **self.startup_kwargs) async def wait(self) -> str: """ @@ -157,6 +161,7 @@ def create_run_context(self) -> RunContext: session_id=self.assistant_id, assistant_drive=self.drive, emit=self._emit, + run_action=self.run_action, run_routine=self.run_routine, routine_stack=self.routine_stack, ) @@ -199,19 +204,12 @@ def _register_chat_driver(self, chat_driver_config: ChatDriverConfig) -> ChatDri f"{config.instructions}" "\n\nYou have the ability to run functions and routines.\n\n" "Run a routine with the run_routine function passing it the name of the routine " - "and a dictionary of vars to be replaced into the routines templates. " - "These vars are like the routines' input.\n\n" - "Available routines and their available vars: {routines}. " + "and arguments." + "Available routines: {routines}. " ) - chat_functions = ChatFunctions(self) - functions = [chat_functions.list_routines, chat_functions.run_routine] - - # TODO: Allow optional adding of skill actions here. - # self.skill_registry is already available here. - - config.commands = functions - config.functions = functions + config.commands = chat_functions.list_functions() + config.functions = chat_functions.list_functions() return ChatDriver(config) async def generate_response( @@ -243,33 +241,29 @@ async def generate_response( # Skill interface ###################################### - # def list_actions(self, context: Context) -> list[str]: - # """Lists all the actions the assistant is able to perform.""" - # return self.skill_registry.list_actions() - def list_routines(self) -> list[str]: """Lists all the routines the assistant is able to perform.""" return self.skill_registry.list_routines() if self.skill_registry else [] - async def run_routine(self, name: str, vars: dict[str, Any] | None = None) -> Any: + async def run_routine(self, name: str, *args, **kwargs) -> Any: """ Run an assistant routine by name (e.g. .). """ if not self.skill_registry: raise ValueError("No skill registry registered for this assistant.") - await self.skill_registry.run_routine_by_designation(self.create_run_context(), name, vars) + await self.skill_registry.run_routine_by_designation(self.create_run_context(), name, *args, **kwargs) def list_actions(self) -> list[str]: """Lists all the actions the assistant is able to perform.""" return self.skill_registry.list_actions() if self.skill_registry else [] - def run_action(self, name: str, vars: dict[str, Any] | None = None) -> Any: + def run_action(self, designation: str, *args, **kwargs) -> Any: """ Run an assistant action by name (e.g. .). """ if not self.skill_registry: raise ValueError("No skill registry registered for this assistant.") - return self.skill_registry.run_action_by_designation(self.create_run_context(), name, vars) + return self.skill_registry.run_action_by_designation(self.create_run_context(), designation, *args, **kwargs) async def step_active_routine(self, message: str) -> None: """Run another step in the current routine.""" @@ -279,20 +273,66 @@ async def step_active_routine(self, message: str) -> None: class ChatFunctions: - """Chat driver functions need to be registered with a context as their first - argument. The function name is used as their name and the function block - comment is used as the function description. This is a simple class to - provide these things.""" + """ + These functions provide usage context and output markdown. It's a layer + closer to the assistant. + """ def __init__(self, assistant: Assistant) -> None: self.assistant = assistant - def list_routines(self) -> list[str]: + def list_routines(self) -> str: """Lists all the routines available in the assistant.""" - return self.assistant.list_routines() + if not self.assistant.skill_registry: + return "No routines available." - async def run_routine(self, name: str, vars: dict[str, Any] | None) -> Any: + routines = [] + for skill_name, skill in self.assistant.skill_registry.skills.items(): + for routine in skill.get_routines(): + routines.append(f"- __{skill_name}.{routine.name}__: _{routine.description}_") + + if not routines: + return "No routines available." + + routine_string = "```markdown\n### Routines\n\n" + "\n".join(routines) + "\n```" + # self.assistant._emit(InformationEvent(message=routine_string)) + return routine_string + + async def run_routine(self, name: str, *args, **kwargs) -> Any: """ Run an assistant routine. """ - await self.assistant.run_routine(name, vars) + await self.assistant.run_routine(name, *args, **kwargs) + + def list_actions(self) -> str: + """Lists all the actions available in the assistant.""" + if not self.assistant.skill_registry: + return "No actions available." + + actions = [] + for skill_name, skill in self.assistant.skill_registry.skills.items(): + for action in skill.action_registry.get_actions(): + usage = action.usage() + actions.append( + f"- __{skill_name}.{usage.name}({', '.join([str(parameter) for parameter in usage.parameters])})__: _{usage.description}_" + ) + if not actions: + return "No actions available." + + action_string = "```markdown\n### Actions\n\n" + "\n".join(actions) + "\n```" + # self.assistant._emit(InformationEvent(message=action_string)) + return action_string + + def run_action(self, designation: str, *args, **kwargs) -> Any: + """ + Run an assistant action by designation (.). + """ + return self.assistant.run_action(designation, *args, **kwargs) + + def list_functions(self) -> list[Callable]: + return [ + self.list_routines, + self.run_routine, + self.list_actions, + self.run_action, + ] diff --git a/libraries/python/skills/skill-library/skill_library/chat_driver_helpers.py b/libraries/python/skills/skill-library/skill_library/chat_driver_helpers.py new file mode 100644 index 00000000..4d07a04f --- /dev/null +++ b/libraries/python/skills/skill-library/skill_library/chat_driver_helpers.py @@ -0,0 +1,63 @@ +import functools +import inspect +from typing import Callable + +from skill_library.actions import ActionCallable +from skill_library.run_context import RunContextProvider + + +class ChatDriverFunctions: + """ + Functions used for chat drivers (tool functions) can be created from skill + actions functions by removing their run_context parameter and making the + run_context available through a RunContextProvider. Additionally, we need to + remove any default values for all parameters as OpenAI doesn't allow default + parameters in their tool functions. + + Initialize this class with a run context provider and a list of action + functions and it will generate wrapper methods for each action that can be + used in a chat driver. + + This is helpful for maing chat driver setup in a skill simpler. + """ + + def __init__(self, actions: list[ActionCallable], run_context_provider: RunContextProvider) -> None: + self.actions = {action.__name__: action for action in actions} + self.run_context_provider = run_context_provider + self._generate_wrappers() + + def _generate_wrappers(self) -> None: + """ + Dynamically create wrapper methods for all actions. + """ + for name, action in self.actions.items(): + # Throw an error if the action does not have a run_context parameter. + if "run_context" not in inspect.signature(action).parameters: + raise ValueError(f"Invalid action function. '{name}' must have a 'run_context' parameter.") + + # Remove default values from the parameters + original_signature = inspect.signature(action) + parameters = [ + param.replace(default=inspect.Parameter.empty) for param in original_signature.parameters.values() + ] + parameters = [param for param in parameters if param.name != "run_context"] + new_signature = original_signature.replace(parameters=parameters) + + def make_wrapper(action): + @functools.wraps(action) + def wrapper(*args, **kwargs): + run_context = self.run_context_provider.create_run_context() + return action(run_context, *args, **kwargs) + + # Update the wrapper function's signature to match the modified signature + wrapper.__signature__ = new_signature # type: ignore + return wrapper + + # Set the wrapper as an attribute of the instance. + setattr(self, name, make_wrapper(action)) + + def all(self) -> list[Callable]: + """ + Return a list of all dynamically created wrapper methods. + """ + return [getattr(self, name) for name in self.actions.keys()] diff --git a/libraries/python/skills/skill-library/skill_library/routine.py b/libraries/python/skills/skill-library/skill_library/routine.py index 8326eb46..8358e996 100644 --- a/libraries/python/skills/skill-library/skill_library/routine.py +++ b/libraries/python/skills/skill-library/skill_library/routine.py @@ -1,33 +1,34 @@ import re -from typing import TYPE_CHECKING, Any, Awaitable, Callable, Dict, Optional, Tuple, Union +from typing import TYPE_CHECKING, Any, Awaitable, Callable, Optional, Tuple, Union from skill_library.run_context import RunContext if TYPE_CHECKING: - from skill_library.skill import Skill + pass def find_template_vars(text: str) -> list[str]: """ - Find mustache template variables in a string. + Find mustache template variables in a string. Variables will be + de-duplicated and returned in order of first appearance. """ matches = re.compile(r"\{\{([a-zA-Z0-9_]+)\}\}") - return sorted(list(set(matches.findall(text)))) + return list(set(matches.findall(text))) class Routine: def __init__( self, name: str, + skill_name: str, description: str, - skill: "Skill", ) -> None: self.name = name + self.skill_name = skill_name self.description = description - self.skill = skill def fullname(self) -> str: - return f"{self.skill.name}.{self.name}" + return f"{self.skill_name}.{self.name}" def __str__(self) -> str: return self.fullname() @@ -37,17 +38,20 @@ class InstructionRoutine(Routine): def __init__( self, name: str, + skill_name: str, description: str, routine: str, - skill: "Skill", ) -> None: super().__init__( name=name, + skill_name=skill_name, description=description, - skill=skill, ) self.routine = routine + def template_vars(self) -> list[str]: + return find_template_vars(self.routine) + def __str__(self) -> str: template_vars = find_template_vars(self.routine) return f"{self.name}(vars: {template_vars}): {self.description}" @@ -57,14 +61,14 @@ class ProgramRoutine(Routine): def __init__( self, name: str, + skill_name: str, description: str, program: str, - skill: "Skill", ) -> None: super().__init__( name=name, + skill_name=skill_name, description=description, - skill=skill, ) self.program = program @@ -77,15 +81,15 @@ class StateMachineRoutine(Routine): def __init__( self, name: str, + skill_name: str, description: str, - init_function: Callable[[RunContext, Optional[Dict[str, Any]]], Awaitable[Tuple[bool, Any]]], + init_function: Callable[[RunContext, Any], Awaitable[Tuple[bool, Any]]], step_function: Callable[[RunContext, Optional[str]], Awaitable[Tuple[bool, Any]]], - skill: "Skill", ) -> None: super().__init__( name=name, + skill_name=skill_name, description=description, - skill=skill, ) self.init_function = init_function self.step_function = step_function diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/instruction_routine_runner.py b/libraries/python/skills/skill-library/skill_library/routine_runners/instruction_routine_runner.py index 3e2992ac..4543e1e0 100644 --- a/libraries/python/skills/skill-library/skill_library/routine_runners/instruction_routine_runner.py +++ b/libraries/python/skills/skill-library/skill_library/routine_runners/instruction_routine_runner.py @@ -1,17 +1,23 @@ -from typing import Any +from typing import TYPE_CHECKING, Any, Awaitable, Callable from events import BaseEvent, InformationEvent -from ..routine import InstructionRoutine +if TYPE_CHECKING: + pass + +from ..routine import InstructionRoutine, find_template_vars from ..run_context import RunContext +from ..utilities import make_arg_set + +RespondFunction = Callable[[str], Awaitable[BaseEvent]] class InstructionRoutineRunner: - def __init__(self) -> None: - pass + def __init__(self, respond_function: RespondFunction) -> None: + self.respond = respond_function async def run( - self, context: RunContext, routine: InstructionRoutine, vars: dict[str, Any] | None = None + self, context: RunContext, routine: InstructionRoutine, *args: Any, **kwargs: Any ) -> tuple[bool, Any]: """ Run an Instruction routine. This just runs through the steps of a @@ -22,18 +28,32 @@ async def run( retries, etc. Also, we might add meta-cognitive functions, tracking progress and changing steps as necessary. """ - # Replace mustache variables in the routine with the values from the vars dict. - if vars: - for key, value in vars.items(): - routine.routine = routine.routine.replace(f"{{{{ {key} }}}}", value) - routine.routine = routine.routine.replace(f"{{{{{key}}}}}", value) + + # Make kwargs out of args (aligning them to the order of the mustache + # variables in the routine). + arg_set = make_arg_set(find_template_vars(routine.routine), args, kwargs) + + # Replace mustache variables in the routine with the values from the arg set. + parsed_routine = routine.routine + for key, value in arg_set.items(): + parsed_routine = parsed_routine.replace(f"{{{{ {key} }}}}", str(value)) + parsed_routine = parsed_routine.replace(f"{{{{{key}}}}}", str(value)) + + # Detect if there are any un-replaced mustache variables in the routine. + if find_template_vars(parsed_routine): + context.emit( + InformationEvent( + message=f"Unresolved mustache variables in routine. You need more keyword args: {', '.join(find_template_vars(parsed_routine))}" + ) + ) + return True, None # TODO: save a copy of this routine to run state. - steps = routine.routine.split("\n") + steps = [step.strip() for step in parsed_routine.split("\n") if step.strip()] for step in steps: context.emit(InformationEvent(message=f"Running step: {step}")) - response: BaseEvent = await routine.skill.respond(message=step) + response: BaseEvent = await self.respond(step) informationEvent = InformationEvent(**response.model_dump()) context.emit(informationEvent) @@ -43,4 +63,13 @@ async def next(self, context: RunContext, routine: InstructionRoutine, message: """ Run the next step in the current routine. """ + + # Instruction routines have no "next" step as the entire routine is run + # in one go. If we have gotten into this state (because of an error + # while running the routine, and the stack wasn't popped) then go ahead + # and finish to clear the state. + informationEvent = InformationEvent( + message="Instruction routine was previously run and ended without clearing the stack state. Clearing now. Try running the routine again." + ) + context.emit(informationEvent) return True, None diff --git a/libraries/python/skills/skill-library/skill_library/routine_runners/state_machine_routine_runner.py b/libraries/python/skills/skill-library/skill_library/routine_runners/state_machine_routine_runner.py index 37a043fb..3ade5f13 100644 --- a/libraries/python/skills/skill-library/skill_library/routine_runners/state_machine_routine_runner.py +++ b/libraries/python/skills/skill-library/skill_library/routine_runners/state_machine_routine_runner.py @@ -8,10 +8,8 @@ class StateMachineRoutineRunner: def __init__(self) -> None: pass - async def run( - self, context: RunContext, routine: StateMachineRoutine, vars: dict[str, Any] | None = None - ) -> tuple[bool, Any]: - return await routine.init_function(context, vars) + async def run(self, context: RunContext, routine: StateMachineRoutine, *args, **kwargs) -> tuple[bool, Any]: + return await routine.init_function(context, *args, **kwargs) async def next(self, context: RunContext, routine: StateMachineRoutine, message: str) -> tuple[bool, Any]: """ diff --git a/libraries/python/skills/skill-library/skill_library/run_context.py b/libraries/python/skills/skill-library/skill_library/run_context.py index 9a32e441..cdfed331 100644 --- a/libraries/python/skills/skill-library/skill_library/run_context.py +++ b/libraries/python/skills/skill-library/skill_library/run_context.py @@ -1,6 +1,6 @@ import logging from contextlib import asynccontextmanager -from typing import Any, AsyncGenerator, Callable, Coroutine, Optional, Union +from typing import Any, AsyncGenerator, Callable, Coroutine, Optional, Protocol, Union from uuid import uuid4 from assistant_drive import Drive @@ -17,9 +17,14 @@ def emit(self, event: EventProtocol) -> None: logging.info(event.to_json()) -async def unimplemented_runner(routine_name: str, *args: Any, **kwargs: Any) -> None: +async def unimplemented_routine_runner(routine_name: str, *args: Any, **kwargs: Any) -> None: """A runner that logs a message when a routine has not been implemented.""" - logging.info(f"Routine {routine_name} has not been implemented.") + logging.info("Routine runner has not been implemented.") + + +async def unimplemented_action_runner(action_name: str, *args: Any, **kwargs: Any) -> None: + """A runner that logs a message when a routine has not been implemented.""" + logging.info("Action runner has not been implemented.") class RunContext: @@ -35,6 +40,7 @@ def __init__( assistant_drive: Drive, emit: Callable[[EventProtocol], None], routine_stack: RoutineStack, + run_action: Callable[[str, Optional[dict[str, Any]]], Coroutine[Any, Any, Any]], run_routine: Union[Callable[[str, Optional[dict[str, Any]]], Coroutine[Any, Any, Any]], None], ) -> None: # A session id is useful for maintaining consistent session state across all @@ -58,7 +64,8 @@ def __init__( # event bus and handling the events sent to it with this function. self.emit = emit or LogEmitter().emit - self.run_routine = run_routine or unimplemented_runner + self.run_routine = run_routine or unimplemented_routine_runner + self.run_action = run_action or unimplemented_action_runner # Helper functions for managing state of the current routine being run. self.get_state = routine_stack.get_current_state @@ -83,3 +90,13 @@ async def stack_frame_state(self) -> AsyncGenerator[dict[str, Any], None]: state = await self.get_state() yield state await self.set_state(state) + + +class RunContextProvider(Protocol): + """ + A provider of a run context must have this method. When called, it will + return a run context. This is used by skill routines and actions to have + access to all the things they need for running. + """ + + def create_run_context(self) -> RunContext: ... diff --git a/libraries/python/skills/skill-library/skill_library/skill.py b/libraries/python/skills/skill-library/skill_library/skill.py index a9060f06..2347d225 100644 --- a/libraries/python/skills/skill-library/skill_library/skill.py +++ b/libraries/python/skills/skill-library/skill_library/skill.py @@ -1,6 +1,7 @@ import logging from typing import Any, Callable, Type +from attr import dataclass from events import BaseEvent, EventProtocol from openai.types.chat.completion_create_params import ResponseFormat from openai_client.chat_driver import ChatDriver, ChatDriverConfig @@ -8,6 +9,7 @@ from .actions import Action, Actions from .routine import RoutineTypes +from .run_context import RunContextProvider EmitterType = Callable[[EventProtocol], None] @@ -16,6 +18,14 @@ def log_emitter(event: EventProtocol) -> None: logging.info(event) +@dataclass +class SkillDefinition: + name: str + skill_class: Type["Skill"] + description: str + chat_driver_config: ChatDriverConfig | None + + class Skill: """ Skills come with actions, routines, and, optionally, a conversational @@ -24,16 +34,15 @@ class Skill: def __init__( self, - name: str, - description: str, + skill_definition: SkillDefinition, + run_context_provider: RunContextProvider, actions: list[Callable] = [], # Functions to be registered as skill actions. routines: list[RoutineTypes] = [], - chat_driver_config: ChatDriverConfig | None = None, ) -> None: # A skill should have a short name so that user commands can be routed # to them efficiently. - self.name = name - self.description = description + self.name = skill_definition.name + self.description = skill_definition.description self.routines: dict[str, RoutineTypes] = {routine.name: routine for routine in routines} # The routines in this skill might use actions from other skills. The dependency on @@ -47,25 +56,21 @@ def __init__( # chat driver. If you want to register a function with the chat driver, # do so when configuring the chat driver passed in (usually done in the # skill subclass). - self.chat_driver = ChatDriver(chat_driver_config) if chat_driver_config else None - - # TODO: We maybe want to add actions to the skill's chat driver. If we - # do, strip the RunContext param. + self.chat_driver = ( + ChatDriver(skill_definition.chat_driver_config) if skill_definition.chat_driver_config else None + ) # Register all provided actions with the action registry so they can be executed by name. - self.action_registry = Actions() + self.action_registry = Actions(run_context_provider) self.action_registry.add_functions(actions) - # TODO: Is this helpful? - # Also, register any commands provided by the chat driver. All - # commands will be available to the skill. - # if self.chat_driver: - # self.action_registry.add_functions(self.chat_driver.get_commands()) - # Make actions available to be called as attributes from the skill # directly. self.actions = self.action_registry.functions + # Actions and routines can get a RunContext whenever they want. + self.run_context_provider = run_context_provider + async def respond( self, message: str, @@ -104,7 +109,14 @@ def get_routine(self, name: str) -> RoutineTypes | None: """ return self.routines.get(name) + def get_routines(self) -> list[RoutineTypes]: + """ + Return a list of routines. + """ + return [routine for routine in self.routines.values()] + def list_routines(self) -> list[str]: + """Return a list of routine names.""" return [str(routine) for routine in self.routines.values()] def has_routine(self, name: str) -> bool: diff --git a/libraries/python/skills/skill-library/skill_library/skill_registry.py b/libraries/python/skills/skill-library/skill_library/skill_registry.py index 945c9e7c..edda8690 100644 --- a/libraries/python/skills/skill-library/skill_library/skill_registry.py +++ b/libraries/python/skills/skill-library/skill_library/skill_registry.py @@ -1,12 +1,14 @@ import importlib import os -from typing import Any, Optional +from typing import Any + +from skill_library.actions import Action from .routine import InstructionRoutine, ProgramRoutine, RoutineTypes, StateMachineRoutine from .routine_runners import InstructionRoutineRunner, ProgramRoutineRunner, StateMachineRoutineRunner from .routine_stack import RoutineStack -from .run_context import RunContext -from .skill import Skill +from .run_context import RunContext, RunContextProvider +from .skill import Skill, SkillDefinition class SkillRegistry: @@ -15,23 +17,73 @@ class SkillRegistry: skill is added, its dependencies are also added. """ - def __init__(self, skills: dict[str, Skill], routine_stack: RoutineStack) -> None: + def __init__( + self, + skills: dict[str, SkillDefinition], + run_context_provider: RunContextProvider, + routine_stack: RoutineStack, + ) -> None: # self.global_skill_registry = GlobalSkillRegistry() - self.skills = skills + + # Note: We give each skill a reference to the run context provider so + # that it can optionally use it to create Chat Driver methods for a + # natural language interface. This supports Instruction routines. + self.skills = { + skill_definition.name: skill_definition.skill_class(skill_definition, run_context_provider) + for skill_definition in skills.values() + } + self.run_context_provider = run_context_provider self.routine_stack = routine_stack def get_skill(self, skill_name: str) -> Skill | None: return self.skills.get(skill_name) - def list_actions(self) -> list[str]: + ###################################### + # Actions + ###################################### + + def list_actions(self, include_usage: bool = False) -> list[str]: """ List all namespaced function names available in the skill registry. """ actions = [] for skill_name, skill in self.skills.items(): - actions += [f"{skill_name}.{action}" for action in skill.list_actions()] + for action in skill.action_registry.get_actions(): + if include_usage: + actions.append(f"{skill_name}.{action.usage()}") + else: + actions.append(f"{skill_name}.{action.name}") + return actions + def get_action_by_designation(self, designation: str) -> Action | None: + """ + Get a routine by . designation. + """ + skill_name, action_name = designation.split(".") + skill = self.get_skill(skill_name) + if not skill: + return None + return skill.get_action(action_name) + + async def run_action_by_designation(self, run_context: RunContext, designation: str, *args, **kwargs) -> Any: + """ + Run an action by designation (.). + """ + skill_name, action_name = designation.split(".") + skill = self.get_skill(skill_name) + if not skill: + raise ValueError(f"Skill {skill_name} not found.") + action = skill.get_action(action_name) + if not action: + raise ValueError(f"Action {action_name} not found in skill {skill_name}.") + response = await action.execute(run_context, *args, **kwargs) + return response + + ###################################### + # Routines + ###################################### + def list_routines(self) -> list[str]: """ List all namespaced routine names available in the skill registry. @@ -51,7 +103,7 @@ def has_routine(self, designation: str) -> bool: return False return skill.has_routine(routine) - def get_routine(self, designation: str) -> RoutineTypes | None: + def get_routine_by_designation(self, designation: str) -> RoutineTypes | None: """ Get a routine by . designation. """ @@ -61,19 +113,17 @@ def get_routine(self, designation: str) -> RoutineTypes | None: return None return skill.get_routine(routine_name) - async def run_routine_by_designation( - self, context: RunContext, name: str, vars: dict[str, Any] | None = None - ) -> Any: + async def run_routine_by_designation(self, run_context: RunContext, designation: str, *args, **kwargs) -> Any: """ Run an assistant routine by designation (.). """ - routine = self.get_routine(name) + routine = self.get_routine_by_designation(designation) if not routine: - raise ValueError(f"Routine {name} not found.") - response = await self.run_routine(context, routine, vars) + raise ValueError(f"Routine {designation} not found.") + response = await self.run_routine(run_context, routine, *args, **kwargs) return response - async def run_routine(self, context: RunContext, routine: RoutineTypes, vars: dict[str, Any] | None = None) -> Any: + async def run_routine(self, run_context: RunContext, routine: RoutineTypes, *args, **kwargs) -> Any: """ Run an assistant routine. This is going to be much of the magic of the assistant. Currently, is just runs through the steps of a routine, but @@ -84,60 +134,70 @@ async def run_routine(self, context: RunContext, routine: RoutineTypes, vars: di dynamically while monitoring progress. name = . """ + + # TODO: Different types of routines have different run signature + # behavior. For example, the instruction routine needs template vars + # passed in and that's probably all. The state machine routine, otoh, + # needs to be initialized and then stepped through and the functions + # need arg/kwarg parameters. + + # We'll need a way to map the args/kwargs to the run_routine function + # signature so a user can get help/usage and the assistant routine + # builder knows how to use them. + await self.routine_stack.push(routine.fullname()) match routine: case InstructionRoutine(): - runner = InstructionRoutineRunner() - done, output = await runner.run(context, routine, vars) + skill = self.get_skill(routine.skill_name) + if not skill: + raise ValueError(f"Skill {routine.skill_name} not found.") + if skill.chat_driver is None: + raise ValueError(f"Skill {skill.name} needs a chat driver to run an instruction routine.") + respond_function = skill.respond + runner = InstructionRoutineRunner(respond_function) + done, output = await runner.run(run_context, routine, *args, **kwargs) case ProgramRoutine(): runner = ProgramRoutineRunner() - done, output = await runner.run(context, routine, vars) + done, output = await runner.run(run_context, routine, *args, **kwargs) case StateMachineRoutine(): runner = StateMachineRoutineRunner() - done, output = await runner.run(context, routine, vars) + done, output = await runner.run(run_context, routine, *args, **kwargs) case _: raise ValueError(f"Routine type {type(routine)} not supported.") if done: _ = await self.routine_stack.pop() return output - async def run_action_by_designation( - self, context: RunContext, designation: str, vars: Optional[dict[str, Any]] = None - ) -> Any: - """ - Run an action by designation (.). - """ - skill_name, action_name = designation.split(".") - skill = self.get_skill(skill_name) - if not skill: - raise ValueError(f"Skill {skill_name} not found.") - action = skill.get_action(action_name) - if not action: - raise ValueError(f"Action {action_name} not found in skill {skill_name}.") - vars = vars or {} - response = await action.execute(context, (), **vars) - return response - - async def step_active_routine(self, context: RunContext, message: str) -> None: + async def step_active_routine(self, run_context: RunContext, message: str) -> None: """Run another step in the current routine.""" routine_frame = await self.routine_stack.peek() if not routine_frame: raise ValueError("No routine to run.") - routine = self.get_routine(routine_frame.name) + routine = self.get_routine_by_designation(routine_frame.name) if not routine: raise ValueError(f"Routine {routine_frame.name} not found.") match routine: case InstructionRoutine(): - runner = InstructionRoutineRunner() - done, output = await runner.next(context, routine, message) + # Instruction routines work by passing each line of the routine + # to to the routine's skill's response function. This means any + # skill that has an instruction routine needs to have a chat + # driver. + skill = self.get_skill(routine.skill_name) + if not skill: + raise ValueError(f"Skill {routine.skill_name} not found.") + if skill.chat_driver is None: + raise ValueError(f"Skill {skill.name} needs a chat driver to run an instruction routine.") + respond_function = skill.respond + runner = InstructionRoutineRunner(respond_function) + done, output = await runner.next(run_context, routine, message) case ProgramRoutine(): runner = ProgramRoutineRunner() - done, output = await runner.next(context, routine, message) + done, output = await runner.next(run_context, routine, message) case StateMachineRoutine(): runner = StateMachineRoutineRunner() - done, output = await runner.next(context, routine, message) + done, output = await runner.next(run_context, routine, message) if done: await self.routine_stack.pop() diff --git a/libraries/python/skills/skill-library/skill_library/tests/test_make_arg_set.py b/libraries/python/skills/skill-library/skill_library/tests/test_make_arg_set.py new file mode 100644 index 00000000..4acbd245 --- /dev/null +++ b/libraries/python/skills/skill-library/skill_library/tests/test_make_arg_set.py @@ -0,0 +1,64 @@ +from skill_library.utilities import make_arg_set + + +def test_make_arg_set(): + expected_variables = ["a", "b", "c"] + args = (1, 2) + kwargs = {"c": 3} + + arg_set = make_arg_set(expected_variables, args, kwargs) + assert arg_set == {"a": 1, "b": 2, "c": 3} + + +def test_make_arg_set_no_args(): + expected_variables = ["a", "b", "c"] + args = () + kwargs = {"a": 1, "b": 2, "c": 3} + + arg_set = make_arg_set(expected_variables, args, kwargs) + assert arg_set == {"a": 1, "b": 2, "c": 3} + + +def test_make_arg_set_no_kwargs(): + expected_variables = ["a", "b", "c"] + args = (1, 2, 3) + kwargs = {} + + arg_set = make_arg_set(expected_variables, args, kwargs) + assert arg_set == {"a": 1, "b": 2, "c": 3} + + +def test_make_arg_set_no_args_or_kwargs(): + expected_variables = ["a", "b", "c"] + args = () + kwargs = {} + + arg_set = make_arg_set(expected_variables, args, kwargs) + assert arg_set == {} + + +def test_make_arg_set_extra_args(): + expected_variables = ["a", "b", "c"] + args = (1, 2, 3, 4) + kwargs = {} + + arg_set = make_arg_set(expected_variables, args, kwargs) + assert arg_set == {"a": 1, "b": 2, "c": 3} + + +def test_make_arg_set_extra_kwargs(): + expected_variables = ["a", "b", "c"] + args = () + kwargs = {"a": 1, "b": 2, "c": 3, "d": 4} + + arg_set = make_arg_set(expected_variables, args, kwargs) + assert arg_set == {"a": 1, "b": 2, "c": 3} + + +def test_make_arg_set_extra_args_and_kwargs(): + expected_variables = ["a", "b", "c"] + args = (1, 2, 3, 4) + kwargs = {"a": "m", "b": "n", "c": "o", "d": "p"} + + arg_set = make_arg_set(expected_variables, args, kwargs) + assert arg_set == {"a": "m", "b": "n", "c": "o"} diff --git a/libraries/python/skills/skill-library/skill_library/utilities.py b/libraries/python/skills/skill-library/skill_library/utilities.py new file mode 100644 index 00000000..a311dc85 --- /dev/null +++ b/libraries/python/skills/skill-library/skill_library/utilities.py @@ -0,0 +1,23 @@ +from typing import Any + + +def make_arg_set(expected_variables: list[str], args: tuple, kwargs: dict[str, Any]) -> dict[str, Any]: + """ + Make a dictionary out of args and kwargs that aligns with expected + variables. The result will be a dictionary containing the expected variables + as keys and the args and kwargs as values. kwargs take precedence over args + (they will overwrite). + """ + arg_set = {} + + # Align any args with the expected variables. + if args: + for index, value in enumerate(args): + if index < len(expected_variables): + arg_set[expected_variables[index]] = value + + # Overwrite any args that were already set (kwargs take precedence). Only + # include kwargs that are in the expected variables. + kwargs_set = {key: value for key, value in kwargs.items() if key in expected_variables} + arg_set.update(kwargs_set) + return arg_set diff --git a/libraries/python/skills/skills/common-skill/.vscode/settings.json b/libraries/python/skills/skills/common-skill/.vscode/settings.json new file mode 100644 index 00000000..90597527 --- /dev/null +++ b/libraries/python/skills/skills/common-skill/.vscode/settings.json @@ -0,0 +1,59 @@ +{ + "editor.bracketPairColorization.enabled": true, + "editor.codeActionsOnSave": { + "source.fixAll": "always", + "source.organizeImports": "always" + }, + "editor.defaultFormatter": "esbenp.prettier-vscode", + "editor.formatOnPaste": true, + "editor.formatOnSave": true, + "editor.formatOnType": true, + "editor.guides.bracketPairs": "active", + "files.eol": "\n", + "files.trimTrailingWhitespace": true, + "flake8.ignorePatterns": ["**/*.py"], // disable flake8 in favor of ruff + "jupyter.debugJustMyCode": false, + "python.analysis.autoFormatStrings": true, + "python.analysis.autoImportCompletions": true, + "python.analysis.diagnosticMode": "workspace", + "python.analysis.fixAll": ["source.unusedImports"], + "python.analysis.inlayHints.functionReturnTypes": true, + "python.analysis.typeCheckingMode": "standard", + "python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python", + "python.testing.pytestEnabled": true, + "search.exclude": { + "**/.venv": true, + "**/data": true + }, + "[json]": { + "editor.defaultFormatter": "esbenp.prettier-vscode", + "editor.formatOnSave": true + }, + "[jsonc]": { + "editor.defaultFormatter": "esbenp.prettier-vscode", + "editor.formatOnSave": true + }, + "[python]": { + "editor.defaultFormatter": "charliermarsh.ruff", + "editor.formatOnSave": true, + "editor.codeActionsOnSave": { + "source.fixAll": "explicit", + "source.unusedImports": "explicit", + "source.organizeImports": "explicit", + "source.formatDocument": "explicit" + } + }, + "ruff.nativeServer": "on", + "cSpell.words": [ + "dotenv", + "httpx", + "openai", + "pydantic", + "pypdf", + "pyproject", + "runtimes", + "tiktoken", + "venv", + "virtualenvs" + ] +} diff --git a/libraries/python/skills/skills/common-skill/Makefile b/libraries/python/skills/skills/common-skill/Makefile new file mode 100644 index 00000000..1ad4520a --- /dev/null +++ b/libraries/python/skills/skills/common-skill/Makefile @@ -0,0 +1,2 @@ +repo_root = $(shell git rev-parse --show-toplevel) +include $(repo_root)/tools/makefiles/python.mk diff --git a/libraries/python/skills/skills/common-skill/README.md b/libraries/python/skills/skills/common-skill/README.md new file mode 100644 index 00000000..7dbd3057 --- /dev/null +++ b/libraries/python/skills/skills/common-skill/README.md @@ -0,0 +1 @@ +# Common Skill diff --git a/libraries/python/skills/skills/common-skill/common_skill/__init__.py b/libraries/python/skills/skills/common-skill/common_skill/__init__.py new file mode 100644 index 00000000..4b7404fe --- /dev/null +++ b/libraries/python/skills/skills/common-skill/common_skill/__init__.py @@ -0,0 +1,6 @@ +from common_skill.common_skill import CommonSkill, CommonSkillDefinition + +__all__ = [ + "CommonSkill", + "CommonSkillDefinition", +] diff --git a/libraries/python/skills/skills/common-skill/common_skill/actions/__init__.py b/libraries/python/skills/skills/common-skill/common_skill/actions/__init__.py new file mode 100644 index 00000000..b9648e89 --- /dev/null +++ b/libraries/python/skills/skills/common-skill/common_skill/actions/__init__.py @@ -0,0 +1,4 @@ +from .gpt_complete import gpt_complete +from .web_search import web_search + +__all__ = ["gpt_complete", "web_search"] diff --git a/libraries/python/skills/skills/common-skill/common_skill/actions/gpt_complete.py b/libraries/python/skills/skills/common-skill/common_skill/actions/gpt_complete.py new file mode 100644 index 00000000..683eb214 --- /dev/null +++ b/libraries/python/skills/skills/common-skill/common_skill/actions/gpt_complete.py @@ -0,0 +1,50 @@ +from openai_client import ( + CompletionError, + create_system_message, + extra_data, + make_completion_args_serializable, + message_content_from_completion, + validate_completion, +) +from skill_library.types import LanguageModel, Metadata + +from ..logging import logger + + +async def gpt_complete( + language_model: LanguageModel, + prompt: str, +) -> tuple[str, Metadata]: + """Use the vast knowledge of GPT-4 completion using any prompt you provide. All information needed for the prompt should be in the prompt. No other context or content is available from anywhere other than this prompt. Don't refer to content outside the prompt. The prompt can be big. Returns the completion.""" + + # Use the language model to generate a response to the user. + + completion_args = { + "model": "gpt-4o", + "messages": [ + create_system_message( + prompt, + ), + ], + } + + metadata = {} + logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args))) + metadata["completion_args"] = make_completion_args_serializable(completion_args) + try: + completion = await language_model.beta.chat.completions.parse( + **completion_args, + ) + validate_completion(completion) + logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()})) + metadata["completion"] = completion.model_dump() + except Exception as e: + completion_error = CompletionError(e) + metadata["completion_error"] = completion_error.message + logger.error( + completion_error.message, + extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}), + ) + raise completion_error from e + else: + return message_content_from_completion(completion), metadata diff --git a/libraries/python/skills/skills/common-skill/common_skill/actions/web_search.py b/libraries/python/skills/skills/common-skill/common_skill/actions/web_search.py new file mode 100644 index 00000000..64895643 --- /dev/null +++ b/libraries/python/skills/skills/common-skill/common_skill/actions/web_search.py @@ -0,0 +1,184 @@ +import json +import os + +import requests +from bs4 import BeautifulSoup +from dotenv import load_dotenv +from openai_client import ( + CompletionError, + create_system_message, + create_user_message, + extra_data, + make_completion_args_serializable, + message_content_from_completion, + validate_completion, +) +from skill_library.types import LanguageModel, Metadata + +from ..logging import logger + + +async def generate_search_query(language_model: LanguageModel, search_description: str) -> tuple[str, Metadata]: + """Generate a search query from the search_description.""" + completion_args = { + "model": "gpt-4o", + "messages": [ + create_system_message( + "You are a part of an AGI system that searches for information. Take the user's description of what they want to search for and return an appropriate search query to use in Bing. Only the top three results will be used, so make the search query detailed.", + ), + create_user_message( + f"{search_description}", + ), + ], + } + + metadata = {} + logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args))) + metadata["completion_args"] = make_completion_args_serializable(completion_args) + try: + completion = await language_model.beta.chat.completions.parse( + **completion_args, + ) + validate_completion(completion) + logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()})) + metadata["completion"] = completion.model_dump() + except Exception as e: + completion_error = CompletionError(e) + metadata["completion_error"] = completion_error.message + logger.error( + completion_error.message, + extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}), + ) + raise completion_error from e + else: + search_query = message_content_from_completion(completion).strip().strip('"') + return search_query, metadata + + +async def summarize_results( + language_model: LanguageModel, search_description: str, results: str +) -> tuple[str, Metadata]: + """Summarize the search results to answer the search description.""" + completion_args = { + "model": "gpt-4o", + "messages": [ + create_system_message( + ( + "You are a web page content extractor and summarizer. Extract the relevant information to answer the user's query.\n\n" + f"CONTENT:\n{json.dumps(results)}" + ) + ), + create_user_message(search_description), + ], + } + + metadata = {} + logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args))) + metadata["completion_args"] = make_completion_args_serializable(completion_args) + try: + completion = await language_model.beta.chat.completions.parse( + **completion_args, + ) + validate_completion(completion) + logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()})) + metadata["completion"] = completion.model_dump() + except Exception as e: + completion_error = CompletionError(e) + metadata["completion_error"] = completion_error.message + logger.error( + completion_error.message, + extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}), + ) + raise completion_error from e + else: + return message_content_from_completion(completion), metadata + + +async def summarize_all_results( + language_model: LanguageModel, search_description: str, results: dict[str, str] +) -> tuple[str, Metadata]: + """Summarize all search results to answer the search description.""" + completion_args = { + "model": "gpt-4o", + "messages": [ + create_system_message(f"Summarize the following content to answer the user's query: {search_description}"), + create_user_message(json.dumps(results)), + ], + } + + metadata = {} + logger.debug("Completion call.", extra=extra_data(make_completion_args_serializable(completion_args))) + metadata["completion_args"] = make_completion_args_serializable(completion_args) + try: + completion = await language_model.beta.chat.completions.parse( + **completion_args, + ) + validate_completion(completion) + logger.debug("Completion response.", extra=extra_data({"completion": completion.model_dump()})) + metadata["completion"] = completion.model_dump() + except Exception as e: + completion_error = CompletionError(e) + metadata["completion_error"] = completion_error.message + logger.error( + completion_error.message, + extra=extra_data({"completion_error": completion_error.body, "metadata": metadata}), + ) + raise completion_error from e + else: + return message_content_from_completion(completion), metadata + + +async def web_search(language_model: LanguageModel, search_description: str) -> tuple[str, Metadata]: + """Bing search using the search_description. Returns summarized web content + from the top web search results to specifically answer the search + description. Only necessary for facts and info not contained in GPT-4.""" + + full_metadata: Metadata = {} + + search_query, metadata = await generate_search_query(language_model, search_description) + full_metadata["generate_search_query"] = metadata + + # Use BingAPI to search. + # Get Bing search subscription key. + load_dotenv() + subscription_key = os.getenv("BING_SEARCH_SUBSCRIPTION_KEY") + if not subscription_key: + raise Exception("BING_SEARCH_SUBSCRIPTION_KEY not found in .env.") + search_url = "https://api.bing.microsoft.com/v7.0/search" + headers = {"Ocp-Apim-Subscription-Key": subscription_key} + params = {"q": search_query, "textDecorations": False} + response = requests.get(search_url, headers=headers, params=params) + response.raise_for_status() + search_results = response.json() + values = search_results.get("webPages", {}).get("value", "")[:7] + urls = [v["url"] for v in values] + results = {} + + debug_i = 0 + for url in urls: + # Get webpage content from url. + try: + response = requests.get(url) + if response.status_code >= 200 and response.status_code < 300: + soup = BeautifulSoup(response.text, "html.parser") + content = soup.get_text(separator="\n", strip=True) + # Get first 5000 characters. + # TODO: We can RAG or something instead of this scrappy thing. + content = content[:5000] + + # Summarize search content. + summary, metadata = await summarize_results(language_model, search_description, content) + full_metadata[f"summarize_results_{debug_i}"] = metadata + results[url] = summary + else: + results[url] = f"Error: {response.status_code}" + except Exception as e: + results[url] = f"Error: {e}" + + debug_i += 1 + + # Summarize all results. + response, metadata = await summarize_all_results(language_model, search_description, results) + full_metadata["summarize_all_results"] = metadata + + return response, full_metadata diff --git a/libraries/python/skills/skills/common-skill/common_skill/common_skill.py b/libraries/python/skills/skills/common-skill/common_skill/common_skill.py new file mode 100644 index 00000000..0e6d95a2 --- /dev/null +++ b/libraries/python/skills/skills/common-skill/common_skill/common_skill.py @@ -0,0 +1,102 @@ +from typing import Type + +from assistant_drive import Drive +from openai_client.chat_driver import ChatDriverConfig +from skill_library import ActionCallable, ChatDriverFunctions, RunContext, RunContextProvider, Skill, SkillDefinition +from skill_library.routine import RoutineTypes +from skill_library.types import LanguageModel + +from .actions import gpt_complete, web_search + +CLASS_NAME = "CommonSkill" +DESCRIPTION = "Provides common actions and routines." +INSTRUCTIONS = "You are an assistant." + + +class CommonSkill(Skill): + def __init__( + self, + skill_definition: "CommonSkillDefinition", + run_context_provider: RunContextProvider, + ) -> None: + self.language_model = skill_definition.language_model + self.drive = skill_definition.drive + + routines: list[RoutineTypes] = [] + action_functions: list[ActionCallable] = Actions(skill_definition.language_model).list_actions() + + # Configure the skill's chat driver. This is just used for testing the + # skill out directly, but won't be exposed in the assistant. + if skill_definition.chat_driver_config: + chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all() + chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all() + skill_definition.chat_driver_config.commands = chat_driver_commands + skill_definition.chat_driver_config.functions = chat_driver_functions + + # Initialize the skill! + super().__init__( + skill_definition=skill_definition, + run_context_provider=run_context_provider, + actions=action_functions, + routines=routines, + ) + + +""" +1. RunContext gets passed in during execution. +2. Other variables can be passed in during initialization. +3. When a person runs /list_actions, they shouldn't see RunContext or the initialization variables. +4. A person should be able to run an action with params excluding RunContext and inits. +5. The chatdriver should be able to have registered actions without runcontext or init variables. The function that is given to the chatdriver should not have these things. + A. A chat driver should be able to specify it wants to run a tool call, but the function that executes it should inject a run context?? Or not... the functions themselves might be defined within a context that has a run context. + +""" + + +class Actions: + """ + Using a class like this might be a good pattern for declaring actions. It + allows the injection of things while allowing the method signature from + /list_actions to not need to include them. FOr example, the `gpt_complete` + method needs a language model, but we can just initialize it to use the + skill's language model (above). + """ + + def __init__(self, language_model: LanguageModel) -> None: + self.language_model = language_model + + async def gpt_complete(self, run_context: RunContext, prompt: str) -> str: + content, metadata = await gpt_complete(self.language_model, prompt) + return content + + async def web_search(self, run_context: RunContext, query: str) -> str: + content, metadata = await web_search(self.language_model, query) + return content + + def list_actions(self) -> list[ActionCallable]: + return [self.gpt_complete, self.web_search] + + +class CommonSkillDefinition(SkillDefinition): + def __init__( + self, + name: str, + language_model: LanguageModel, + drive: Drive, + description: str | None = None, + chat_driver_config: ChatDriverConfig | None = None, + skill_class: Type[Skill] = CommonSkill, + ) -> None: + self.language_model = language_model + self.drive = drive + + if chat_driver_config: + chat_driver_config.instructions = INSTRUCTIONS + + # Initialize the skill! + super().__init__( + name=name, + skill_class=skill_class, + description=description or DESCRIPTION, + chat_driver_config=chat_driver_config, + ) diff --git a/libraries/python/skills/skills/common-skill/common_skill/logging.py b/libraries/python/skills/skills/common-skill/common_skill/logging.py new file mode 100644 index 00000000..fb8c51cc --- /dev/null +++ b/libraries/python/skills/skills/common-skill/common_skill/logging.py @@ -0,0 +1,61 @@ +import json +import logging +from datetime import datetime +from typing import Any +from uuid import UUID + +from pydantic import BaseModel + +logger = logging.getLogger("guided-conversation-skill") +logger.addHandler(logging.NullHandler()) +logger.setLevel(logging.DEBUG) + + +def convert_to_serializable(data: Any) -> Any: + """ + Recursively convert Pydantic BaseModel instances to dictionaries. + """ + if isinstance(data, BaseModel): + return data.model_dump() + elif isinstance(data, dict): + return {key: convert_to_serializable(value) for key, value in data.items()} + elif isinstance(data, list): + return [convert_to_serializable(item) for item in data] + elif isinstance(data, tuple): + return tuple(convert_to_serializable(item) for item in data) + elif isinstance(data, set): + return {convert_to_serializable(item) for item in data} + return data + + +class CustomEncoder(json.JSONEncoder): + def default(self, o): + if isinstance(o, UUID): + return str(o) + if isinstance(o, datetime): + return o.isoformat() + return super().default(o) + + +def add_serializable_data(data: Any) -> dict[str, Any]: + """ + Helper function to use when adding extra data to log messages. + """ + extra = {} + + # Convert to serializable. + data = convert_to_serializable(data) + + # Ensure data is a JSON-serializable object. + try: + data = json.loads(json.dumps(data, cls=CustomEncoder)) + except Exception as e: + data = str(e) + + if data: + extra["data"] = data + + return extra + + +extra_data = add_serializable_data diff --git a/libraries/python/skills/skills/common-skill/common_skill/message.py b/libraries/python/skills/skills/common-skill/common_skill/message.py new file mode 100644 index 00000000..b1e510c1 --- /dev/null +++ b/libraries/python/skills/skills/common-skill/common_skill/message.py @@ -0,0 +1,74 @@ +from enum import StrEnum + +from openai.types.chat import ChatCompletionMessageParam +from pydantic import BaseModel, Field + + +class ConversationMessageType(StrEnum): + DEFAULT = "default" + ARTIFACT_UPDATE = "artifact-update" + REASONING = "reasoning" + + +class Message(BaseModel): + param: ChatCompletionMessageParam + type: ConversationMessageType = Field(default=ConversationMessageType.DEFAULT) + turn: int | None = None + + +class Conversation(BaseModel): + messages: list[Message] = Field(default_factory=list) + turn: int = 0 + + def exclude(self, types: list[ConversationMessageType]) -> "Conversation": + return Conversation( + messages=[message for message in self.messages if message.type not in types], turn=self.turn + ) + + def __str__(self) -> str: + message_strs = [] + current_turn = None + for message in self.messages: + # Modify the default user to be capitalized for consistency with how + # assistant is written. + name = message.param["role"] + if name == "user": + name = "User" + + # Append the turn number if it has changed. + if message.turn is not None and current_turn != message.turn: + current_turn = message.turn + message_strs.append(f"[Turn {current_turn}]") + + # Append the message content. + content = message.param.get("content", "") + if message.param["role"] == "assistant": + if message.type == ConversationMessageType.ARTIFACT_UPDATE: + message_strs.append(content) + else: + message_strs.append(f"Assistant: {content}") + else: + user_string = str(content).strip() + if user_string == "": + message_strs.append(f"{name}: ") + else: + message_strs.append(f"{name}: {user_string}") + + return "\n".join(message_strs) + + def add_user_message(self, content: str) -> "Conversation": + self.messages.append(Message(param={"role": "user", "content": content}, turn=self.turn)) + return self + + def add_assistant_message(self, content: str) -> "Conversation": + self.turn += 1 + self.messages.append( + Message( + param={ + "role": "assistant", + "content": content, + }, + turn=self.turn, + ) + ) + return self diff --git a/libraries/python/skills/skills/common-skill/notebooks/usage.ipynb b/libraries/python/skills/skills/common-skill/notebooks/usage.ipynb new file mode 100644 index 00000000..269cd8ea --- /dev/null +++ b/libraries/python/skills/skills/common-skill/notebooks/usage.ipynb @@ -0,0 +1,143 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%reload_ext autoreload\n", + "%autoreload 2\n", + "\n", + "import sys\n", + "from pathlib import Path\n", + "import logging\n", + "from skill_library.logging import file_logging_handler\n", + "\n", + "# Add the src directory to sys.path\n", + "path = str(Path().resolve().parent)\n", + "if path not in sys.path:\n", + " sys.path.insert(0, path)\n", + "\n", + "print(sys.path)\n", + "\n", + "# load_dotenv()\n", + "# print(str(dict(os.environ.items())))\n", + "\n", + "# Set up structured logging to a file. All of the cells in this notebook use\n", + "# this logger. Find them at .data/logs.jsonl.\n", + "\n", + "# Mute some noisy loggers.\n", + "modules = ['httpcore.connection', 'httpcore.http11', 'httpcore.sync.connection', 'httpx', 'openai', 'urllib3.connectionpool', 'urllib3.util.retry']\n", + "for module in modules:\n", + " logging.getLogger(module).setLevel(logging.ERROR)\n", + "\n", + "# Set up the file logging.\n", + "logger = logging.getLogger()\n", + "logger.setLevel(logging.DEBUG)\n", + "logger.handlers.clear()\n", + "file_handler = file_logging_handler(Path('.data') / 'logs.jsonl')\n", + "logger.addHandler(file_handler)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%reload_ext autoreload\n", + "%autoreload 2\n", + "\n", + "from pathlib import Path\n", + "import asyncio\n", + "import os\n", + "\n", + "from assistant_drive import Drive, DriveConfig\n", + "from openai_client import AzureOpenAIAzureIdentityAuthConfig, AzureOpenAIServiceConfig, create_client\n", + "from openai_client.chat_driver import ChatDriverConfig\n", + "from pydantic_core import Url\n", + "from skill_library import Skill, Assistant\n", + "\n", + "from guided_conversation_skill import GuidedConversationSkill\n", + "from guided_conversation_skill.conversation_guides.acrostic_poem import definition\n", + "\n", + "azure_openai_endpoint = os.environ.get(\"AZURE_OPENAI_ENDPOINT\", \"https://lightspeed-team-shared-openai-eastus.openai.azure.com/\")\n", + "azure_openai_deployment = os.environ.get(\"AZURE_OPENAI_DEPLOYMENT\", \"gpt-4o\")\n", + "\n", + "service_config = AzureOpenAIServiceConfig(\n", + " auth_config=AzureOpenAIAzureIdentityAuthConfig(),\n", + " azure_openai_endpoint=Url(azure_openai_endpoint),\n", + " azure_openai_deployment=azure_openai_deployment,\n", + ")\n", + "language_model = create_client(service_config)\n", + "\n", + "\n", + "# Configure the skill and its dependencies.\n", + "path = Path(\".data/assistant-1\")\n", + "drive = Drive(DriveConfig(root=path))\n", + "definition.resource_constraint.quantity = 5 # type: ignore\n", + "skill = GuidedConversationSkill(name=\"guided_conversation\", language_model=language_model, definition=definition, drive=drive.subdrive(\"gc1\"))\n", + "skill_dependency_tree: dict[str, Skill] = {skill.name: skill}\n", + "\n", + "# Define the assistant.\n", + "chat_driver_config = ChatDriverConfig(\n", + " openai_client=language_model,\n", + " model=\"gpt-4o\",\n", + " instructions=\"You are a helpful assistant.\",\n", + ")\n", + "\n", + "assistant = Assistant(name=\"Alice\", assistant_id=\"gc-assistant-123\", chat_driver_config=chat_driver_config, skills=skill_dependency_tree, startup_routine=\"guided_conversation.conversation\")\n", + "await assistant.clear()\n", + "await assistant.start()\n", + "\n", + "\n", + "# Function that allows user input in a non-blocking manner.\n", + "async def user_input_handler() -> None:\n", + " while True:\n", + " user_input = await asyncio.to_thread(input, \"User: \")\n", + " if user_input == \"\":\n", + " assistant.stop()\n", + " break\n", + " print(f\"User: {user_input}\", flush=True)\n", + " await assistant.put_message(user_input)\n", + "\n", + "\n", + "# Start the user input in a non-blocking way.\n", + "input_task = asyncio.create_task(user_input_handler())\n", + "\n", + "# Start the assistant.\n", + "async for event in assistant.events:\n", + " print(f\"Assistant: {event.message}\", flush=True) # type: ignore\n", + " if event.message == \"Conversation complete!\":\n", + " print()\n", + " break\n", + "\n", + "await assistant.wait()\n", + "await input_task\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/libraries/python/skills/skills/common-skill/pyproject.toml b/libraries/python/skills/skills/common-skill/pyproject.toml new file mode 100644 index 00000000..40bfb888 --- /dev/null +++ b/libraries/python/skills/skills/common-skill/pyproject.toml @@ -0,0 +1,49 @@ +[project] +name = "common-skill" +version = "0.1.0" +description = "MADE:Exploration common skill for common actions and routines." +authors = [{ name = "MADE:Exploration" }] +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "assistant-drive>=0.1.0", + "bs4>=0.0.2", + "events>=0.1.0", + "jsonschema>=4.23.0", + "openai-client>=0.1.0", + "skill-library>=0.1.0", +] + +[dependency-groups] +dev = [ + "pytest>=8.3.1", + "pytest-asyncio>=0.23.8", + "pytest-repeat>=0.9.3", + "ipykernel>=6.29.4", + "pyright>=1.1.389", +] + +[tool.uv] +package = true + +[tool.uv.sources] +assistant-drive = { path = "../../../assistant-drive", editable = true } +events = { path = "../../../events", editable = true } +openai-client = { path = "../../../openai-client", editable = true } +skill-library = { path = "../../skill-library", editable = true } + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.pyright] +exclude = ["venv", ".venv"] + +[tool.pytest.ini_options] +addopts = "-vv" +log_cli = true +log_cli_level = "WARNING" +log_cli_format = "%(asctime)s | %(levelname)-7s | %(name)s | %(message)s" +# testpaths = ["guided_conversation_skill/tests"] +asyncio_mode = "auto" +asyncio_default_fixture_loop_scope = "function" diff --git a/libraries/python/skills/skills/common-skill/tests/conftest.py b/libraries/python/skills/skills/common-skill/tests/conftest.py new file mode 100644 index 00000000..0b99e4da --- /dev/null +++ b/libraries/python/skills/skills/common-skill/tests/conftest.py @@ -0,0 +1,22 @@ +import os + +import pytest +from openai_client import AzureOpenAIAzureIdentityAuthConfig, AzureOpenAIServiceConfig, create_client +from pydantic_core import Url +from skill_library.types import LanguageModel + + +@pytest.fixture +def client() -> LanguageModel: + # Ensure environment variables are configured properly. + azure_openai_endpoint = os.environ.get("AZURE_OPENAI_ENDPOINT") + azure_openai_deployment = os.environ.get("AZURE_OPENAI_DEPLOYMENT") + if not azure_openai_endpoint or not azure_openai_deployment: + pytest.skip("AZURE_OPENAI_ENDPOINT or AZURE_OPENAI_DEPLOYMENT must be available in the environment.") + + service_config = AzureOpenAIServiceConfig( + auth_config=AzureOpenAIAzureIdentityAuthConfig(), + azure_openai_endpoint=Url(azure_openai_endpoint), + azure_openai_deployment=azure_openai_deployment, + ) + return create_client(service_config) diff --git a/libraries/python/skills/skills/common-skill/tests/test_setup.py b/libraries/python/skills/skills/common-skill/tests/test_setup.py new file mode 100644 index 00000000..1bf716aa --- /dev/null +++ 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b/libraries/python/skills/skills/document-skill/document_skill/document_skill.py index 0a2cd7b5..a566b359 100644 --- a/libraries/python/skills/skills/document-skill/document_skill/document_skill.py +++ b/libraries/python/skills/skills/document-skill/document_skill/document_skill.py @@ -2,16 +2,17 @@ # ruff: noqa from openai_client.chat_driver import ChatDriverConfig -from openai import AsyncAzureOpenAI, AsyncOpenAI from pydantic import BaseModel # temp to have something to experiment with -from skill_library import EmitterType, RoutineTypes, Skill +from skill_library import RoutineTypes, RunContextProvider, Skill, SkillDefinition, ChatDriverFunctions from skill_library.routine import InstructionRoutine, ProgramRoutine +from skill_library.types import LanguageModel from .chat_drivers import draft_content, draft_outline from .chat_drivers.get_user_feedback_for_outline_decision import get_user_feedback_for_outline_decision NAME = "document_skill" DESCRIPTION = "Anything related to documents - creation, edit, translation" +INSTRUCTIONS = "You are an assistant." class Attachment(BaseModel): @@ -44,13 +45,12 @@ def __init__(self) -> None: class DocumentSkill(Skill): - def __init__( - self, emit: EmitterType, chat_driver_config: ChatDriverConfig, openaai_client: AsyncAzureOpenAI | AsyncOpenAI - ) -> None: - self.openai_client = openaai_client + def __init__(self, skill_definition: "DocumentSkillDefinition", run_context_provider: RunContextProvider) -> None: + self.skill_name = skill_definition.name + self.openai_client = skill_definition.language_model self.document_skill_context: DocumentSkillContext = DocumentSkillContext() - actions = [ + action_functions = [ # self.ask_user, self.draft_content, self.draft_outline, @@ -62,14 +62,16 @@ def __init__( ] # Configure the skill's chat driver. - chat_driver_config.commands = actions - chat_driver_config.functions = actions + if skill_definition.chat_driver_config: + chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all() + chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all() + skill_definition.chat_driver_config.commands = chat_driver_commands + skill_definition.chat_driver_config.functions = chat_driver_functions super().__init__( - name=NAME, - description=DESCRIPTION, - chat_driver_config=chat_driver_config, - actions=actions, + skill_definition=skill_definition, + run_context_provider=run_context_provider, + actions=action_functions, routines=routines, ) @@ -83,9 +85,9 @@ def test_instruction_routine(self) -> InstructionRoutine: """ return InstructionRoutine( name="test_instruction_routine", + skill_name=self.skill_name, description="Description of what the routine does.", routine=("test_action"), - skill=self, ) def template_example_routine(self) -> ProgramRoutine: @@ -94,9 +96,9 @@ def template_example_routine(self) -> ProgramRoutine: """ return ProgramRoutine( name="template_example_routine", + skill_name=self.skill_name, description="Description of what the routine does.", program=("TBD"), - skill=self, ) ################################## @@ -189,3 +191,26 @@ async def ask_user(question: str) -> str: # context, user_feedback, outline=False # ) # return content + + +class DocumentSkillDefinition(SkillDefinition): + def __init__( + self, + name: str, + language_model: LanguageModel, + description: str | None = None, + chat_driver_config: ChatDriverConfig | None = None, + skill_class: type[Skill] = DocumentSkill, + ) -> None: + self.language_model = language_model + + if chat_driver_config: + chat_driver_config.instructions = INSTRUCTIONS + + # Initialize the skill! + super().__init__( + name=name, + skill_class=skill_class, + description=description or DESCRIPTION, + chat_driver_config=chat_driver_config, + ) diff --git a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_drivers/extract_form_fields.py b/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/extract_form_fields.py similarity index 100% rename from libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_drivers/extract_form_fields.py rename to libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/extract_form_fields.py diff --git a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_drivers/generate_filled_form.py b/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/generate_filled_form.py similarity index 100% rename from libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_drivers/generate_filled_form.py rename to libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/generate_filled_form.py diff --git a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_drivers/update_form.py b/libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/update_form.py similarity index 100% rename from libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_drivers/update_form.py rename to libraries/python/skills/skills/form-filler-skill/form_filler_skill/chat_completions/update_form.py diff --git a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/form_filler_skill.py b/libraries/python/skills/skills/form-filler-skill/form_filler_skill/form_filler_skill.py index 865be555..166c2d39 100644 --- a/libraries/python/skills/skills/form-filler-skill/form_filler_skill/form_filler_skill.py +++ b/libraries/python/skills/skills/form-filler-skill/form_filler_skill/form_filler_skill.py @@ -1,7 +1,14 @@ from typing import Any, Optional from openai_client.chat_driver import ChatDriverConfig -from skill_library import RoutineTypes, Skill, StateMachineRoutine +from skill_library import ( + ChatDriverFunctions, + RoutineTypes, + RunContextProvider, + Skill, + SkillDefinition, + StateMachineRoutine, +) from skill_library.run_context import RunContext from skill_library.types import LanguageModel @@ -14,15 +21,12 @@ class FormFillerSkill(Skill): def __init__( self, - name: str, - chat_driver_config: ChatDriverConfig, - language_model: LanguageModel, + skill_definition: "FormFillerSkillDefinition", + run_context_provider: RunContextProvider, ) -> None: - # Put all functions in a group. We are going to use all these as (1) - # skill actions, but also as (2) chat functions and (3) chat commands. - # You can also put them in separate lists if you want to differentiate - # between these. - functions = [] + self.skill_name = skill_definition.name + + action_functions = [] # Add some skill routines. routines: list[RoutineTypes] = [ @@ -30,19 +34,20 @@ def __init__( ] # Re-configure the skill's chat driver. - chat_driver_config.instructions = INSTRUCTIONS - chat_driver_config.commands = functions - chat_driver_config.functions = functions + if skill_definition.chat_driver_config: + chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all() + chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all() + skill_definition.chat_driver_config.instructions = INSTRUCTIONS + skill_definition.chat_driver_config.commands = chat_driver_commands + skill_definition.chat_driver_config.functions = chat_driver_functions - # TODO: change where this is from. - self.openai_client = chat_driver_config.openai_client + self.openai_client = skill_definition.language_model # Initialize the skill! super().__init__( - name=name, - description=DESCRIPTION, - chat_driver_config=chat_driver_config, - actions=functions, + skill_definition=skill_definition, + run_context_provider=run_context_provider, + actions=action_functions, routines=routines, ) @@ -53,10 +58,10 @@ def __init__( def form_filler_routine(self) -> StateMachineRoutine: return StateMachineRoutine( name="form_filler", + skill_name=self.skill_name, description="Run a form-filler routine.", init_function=self.form_fill_init, step_function=self.form_fill_step, - skill=self, ) async def form_fill_init(self, context: RunContext, vars: dict[str, Any] | None = None): @@ -132,3 +137,19 @@ def update_form(self, context: RunContext): def generate_filled_form(self, context: RunContext): return "message" + + +class FormFillerSkillDefinition(SkillDefinition): + def __init__( + self, + name: str, + language_model: LanguageModel, + description: str | None = None, + chat_driver_config: ChatDriverConfig | None = None, + skill_class: type[Skill] = FormFillerSkill, + ) -> None: + self.name = name + self.language_model = language_model + self.description = description or DESCRIPTION + self.chat_driver_config = chat_driver_config + self.skill_class = skill_class diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/__init__.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/__init__.py index 06ee8785..5ba38fe6 100644 --- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/__init__.py +++ b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/__init__.py @@ -1,9 +1,10 @@ from .guide import ConversationGuide -from .guided_conversation_skill import GuidedConversationSkill +from .guided_conversation_skill import GuidedConversationSkill, GuidedConversationSkillDefinition from .resources import ResourceConstraint, ResourceConstraintMode, ResourceConstraintUnit __all__ = [ "GuidedConversationSkill", + "GuidedConversationSkillDefinition", "ConversationGuide", "ResourceConstraint", "ResourceConstraintMode", diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_agenda.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_agenda.py index 93041c51..ad1d8dbf 100644 --- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_agenda.py +++ b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/chat_completions/generate_agenda.py @@ -25,7 +25,7 @@ from guided_conversation_skill.guide import ConversationGuide from guided_conversation_skill.message import Conversation from guided_conversation_skill.resources import ( - GCResource, + ConversationResource, ResourceConstraintMode, ResourceConstraintUnit, ) @@ -95,7 +95,7 @@ def resource_phrase(quantity: float, unit: ResourceConstraintUnit) -> str: return s -def resource_instructions(resource: GCResource) -> str: +def resource_instructions(resource: ConversationResource) -> str: """ Get the resource instructions for the conversation. @@ -228,7 +228,7 @@ async def generate_agenda( chat_history: Conversation, current_agenda: Agenda, artifact: dict[str, Any], - resource: GCResource, + resource: ConversationResource, max_retries: int = 2, ) -> tuple[Agenda, bool]: # STEP 1: Generate an updated agenda. diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/guided_conversation_skill.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/guided_conversation_skill.py index 9d484495..5ab01230 100644 --- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/guided_conversation_skill.py +++ b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/guided_conversation_skill.py @@ -1,11 +1,11 @@ import importlib import json -from typing import Any, Optional +from typing import Any, Optional, Type from assistant_drive import Drive from events import InformationEvent, MessageEvent from openai_client.chat_driver import ChatDriverConfig -from skill_library import Skill +from skill_library import RunContextProvider, Skill, SkillDefinition from skill_library.routine import RoutineTypes, StateMachineRoutine from skill_library.run_context import RunContext from skill_library.types import LanguageModel @@ -18,7 +18,7 @@ from .guide import ConversationGuide from .logging import add_serializable_data, logger from .message import Conversation -from .resources import GCResource +from .resources import ConversationResource CLASS_NAME = "GuidedConversationSkill" DESCRIPTION = "Walks the user through a conversation about gathering info for the creation of an artifact." @@ -33,14 +33,12 @@ class NoDefinitionConfiguredError(Exception): class GuidedConversationSkill(Skill): def __init__( self, - name: str, - language_model: LanguageModel, - drive: Drive, - definition: ConversationGuide | None = None, - chat_driver_config: ChatDriverConfig | None = None, + skill_definition: "GuidedConversationSkillDefinition", + run_context_provider: RunContextProvider, ) -> None: - self.language_model = language_model - self.drive = drive + self.skill_name = skill_definition.name + self.language_model = skill_definition.language_model + self.drive = skill_definition.drive # Configuring the definition of a conversation here makes this skill # instance for this one type (definition) of conversation. @@ -48,25 +46,25 @@ def __init__( # conversation_init_function take in the definition as a parameter if # you wanted to use the same instance for different kinds of # conversations. - if definition: + if skill_definition.definition: # If a definition is supplied, we'll use this for every # conversation. Save it so we can use it when this skill is run # again in the future. self.drive.write_model( - definition, + skill_definition.definition, "GCDefinition.json", ) else: # As a convenience, check to see if a definition was already saved # previously in this drive. try: - definition = self.drive.read_model(ConversationGuide, "GCDefinition.json") + skill_definition.definition = self.drive.read_model(ConversationGuide, "GCDefinition.json") except FileNotFoundError: logger.warning( "No definition supplied or found in the drive. Will expect one as a var in the conversation_init_function" ) - self.definition = definition + self.guide = skill_definition.definition # Add the skill routines. routines: list[RoutineTypes] = [ @@ -75,14 +73,13 @@ def __init__( # Configure the skill's chat driver. This is just used for testing the # skill out directly, but won't be exposed in the assistant. - if chat_driver_config: - chat_driver_config.instructions = INSTRUCTIONS + if skill_definition.chat_driver_config: + skill_definition.chat_driver_config.instructions = INSTRUCTIONS # Initialize the skill! super().__init__( - name=name, - description=DESCRIPTION, - chat_driver_config=chat_driver_config, + skill_definition=skill_definition, + run_context_provider=run_context_provider, actions=[], routines=routines, ) @@ -105,14 +102,20 @@ def conversation_routine(self) -> StateMachineRoutine: """ return StateMachineRoutine( name="conversation", + skill_name=self.skill_name, description="Run a guided conversation.", init_function=self.conversation_init_function, step_function=self.conversation_step_function, - skill=self, ) async def conversation_init_function( - self, context: RunContext, vars: dict[str, Any] | None = None + self, + context: RunContext, + conversation_guide: ConversationGuide | str | None = None, + conversation: Conversation | None = None, + resource: ConversationResource | None = None, + agenda: Agenda | None = None, + artifact: dict[str, Any] | None = None, ) -> tuple[bool, dict[str, Any] | None]: """ Start a new guided conversation. @@ -120,18 +123,17 @@ async def conversation_init_function( This function is called when the conversation routine is started. It initializes the conversation state and starts the conversation. - Args: - context (RunContext): The context for the current run. vars - (dict[str, Any], optional): Optional variables to pass in. Defaults - to None. - Vars: - definition (optional): The definition of the conversation if not already supplied in the skill config. - conversation_type (optional): Run a pre-defined conversation definition (in the `definitions` module). - resource: The resource constraints for the conversation. - conversation: The conversation state. - agenda: The agenda state. - artifact: The artifact state. + Vars for selecting the conversation guide: + conversation_guide: You can supply a ConversationGuide or a string. + If you use a string, a conversation guide by that name will be used + from the `conversation_guides` module. + + Vars for prefilling state: + resource: The current resource state. + conversation: The current conversation state. + agenda: The current agenda state. + artifact: The current artifact state. Returns: tuple[bool, dict[str, Any] | None]: A tuple containing a boolean @@ -144,40 +146,37 @@ async def conversation_init_function( add_serializable_data({"session_id": context.session_id, "vars": vars}), ) - if vars is None: - vars = {} - # The definition is required to run the conversation. It can be provided - # in the skill config or as a var when initializing the conversation. - definition = self.definition - if not definition: - if "definition" in vars: - definition = ConversationGuide(**vars["definition"]) - else: - if "conversation_type" in vars: - # Load the definition dynamically from the `definitions` - # module. + # in the skill config or as a param when initializing the conversation. + guide = self.guide + if not guide: + if not conversation_guide: + raise NoDefinitionConfiguredError("No guide was provided to the skill.") + + match conversation_guide: + case ConversationGuide(): + guide = conversation_guide + case str(): + # Load the definition dynamically from the `conversation_guides` module. try: - definitions_dir = "guided_conversation_skill.definitions" - definition_module_name = f"{definitions_dir}.{vars['conversation_type']}" - definition_module = importlib.import_module(definition_module_name) - definition = definition_module.definition + guides_dir = "guided_conversation_skill.conversation_guides" + guide_module_name = f"{guides_dir}.{conversation_guide}" + guide_module = importlib.import_module(guide_module_name) + guide = guide_module.definition except ImportError: raise NoDefinitionConfiguredError( - f"Could not import the definition module: {vars['conversation_type']}" + f"Could not import the definition module: {conversation_guide}" ) - else: - raise NoDefinitionConfiguredError("No definition was provided to the skill.") # We can put all this data in the routine frame, or we could also put it # in the skill drive. All of this intermediate state can just go in the # frame. Only the final artifact needs to be saved to the drive. async with context.stack_frame_state() as state: - state["definition"] = definition - state["conversation"] = vars.get("conversation") or Conversation() - state["agenda"] = vars.get("agenda") or Agenda() - state["artifact"] = vars.get("artifact", {}) - state["resource"] = GCResource(resource_constraint=definition.resource_constraint) + state["guide"] = guide + state["conversation"] = conversation or Conversation() + state["agenda"] = agenda or Agenda() + state["artifact"] = artifact or {} + state["resource"] = resource or ConversationResource(resource_constraint=guide.resource_constraint) # For guided conversation, we want to go ahead and run the first step. return await self.conversation_step_function(context) @@ -189,11 +188,11 @@ async def conversation_step_function( ) -> tuple[bool, dict[str, Any] | None]: logger.debug("Continuing guided conversation.", add_serializable_data({"session_id": context.session_id})) async with context.stack_frame_state() as state: - definition = ConversationGuide(**state["definition"]) + definition = ConversationGuide(**state["guide"]) conversation = Conversation(**state["conversation"]) agenda = Agenda(**state["agenda"]) artifact: dict[str, Any] = state.get("artifact", {}) - resource = GCResource(**state["resource"]) + resource = ConversationResource(**state["resource"]) if message: conversation.add_user_message(message) @@ -271,3 +270,22 @@ async def conversation_step_function( ################################## # None, yet. + + +class GuidedConversationSkillDefinition(SkillDefinition): + def __init__( + self, + name: str, + language_model: LanguageModel, + drive: Drive, + definition: ConversationGuide | None = None, + chat_driver_config: ChatDriverConfig | None = None, + skill_class: Type[Skill] = GuidedConversationSkill, + ) -> None: + self.name = name + self.description = DESCRIPTION + self.language_model = language_model + self.drive = drive + self.definition = definition + self.chat_driver_config = chat_driver_config + self.skill_class = skill_class diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/resources.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/resources.py index 71bd8d66..3b0fb7dc 100644 --- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/resources.py +++ b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/resources.py @@ -47,7 +47,7 @@ class ResourceConstraint(BaseModel): unit: ResourceConstraintUnit = Field(default=ResourceConstraintUnit.TURNS) -class GCResource(BaseModel): +class ConversationResource(BaseModel): """ Resource constraints for the GuidedConversation agent. This class is used to keep track of the resource constraints. If resource_constraint is None, then diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_agenda.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_agenda.py index 8e38fa4e..28b979b6 100644 --- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_agenda.py +++ b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_generate_agenda.py @@ -3,7 +3,7 @@ from guided_conversation_skill.chat_completions.generate_agenda import generate_agenda, resource_phrase from guided_conversation_skill.conversation_guides import acrostic_poem from guided_conversation_skill.message import Conversation -from guided_conversation_skill.resources import GCResource, ResourceConstraintUnit +from guided_conversation_skill.resources import ConversationResource, ResourceConstraintUnit from skill_library.types import LanguageModel @@ -13,7 +13,7 @@ async def test_generate_agenda(client: LanguageModel) -> None: agenda = Agenda() artifact = {} definition = acrostic_poem.definition - resource = GCResource(resource_constraint=definition.resource_constraint) + resource = ConversationResource(resource_constraint=definition.resource_constraint) agenda, is_done = await generate_agenda( client, definition, diff --git a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_resource.py b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_resource.py index 94d9e2ac..5e8872c0 100644 --- a/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_resource.py +++ b/libraries/python/skills/skills/guided-conversation-skill/guided_conversation_skill/tests/test_resource.py @@ -1,5 +1,5 @@ from guided_conversation_skill.resources import ( - GCResource, + ConversationResource, ResourceConstraintMode, ResourceConstraintUnit, ) @@ -7,7 +7,7 @@ def test_resource_init_no_constraint() -> None: data = {} - resource = GCResource.model_validate(data) + resource = ConversationResource.model_validate(data) assert resource.remaining_units == 0 assert resource.elapsed_units == 0 @@ -18,7 +18,7 @@ def test_resource_init_with_constraint() -> None: "quantity": 10, }, } - resource = GCResource.model_validate(data) + resource = ConversationResource.model_validate(data) assert resource.resource_constraint is not None assert resource.resource_constraint.mode == ResourceConstraintMode.MAXIMUM assert resource.resource_constraint.unit == ResourceConstraintUnit.TURNS @@ -42,7 +42,7 @@ def test_resource_init() -> None: "remaining_units": 7, "initial_seconds_per_turn": 20, } - resource = GCResource.model_validate(data) + resource = ConversationResource.model_validate(data) assert resource.resource_constraint is not None assert resource.resource_constraint.mode == ResourceConstraintMode.MAXIMUM assert resource.resource_constraint.unit == ResourceConstraintUnit.TURNS diff --git a/libraries/python/skills/skills/posix-skill/posix_skill/__init__.py b/libraries/python/skills/skills/posix-skill/posix_skill/__init__.py index 4cc250b5..eaaecdcb 100644 --- a/libraries/python/skills/skills/posix-skill/posix_skill/__init__.py +++ b/libraries/python/skills/skills/posix-skill/posix_skill/__init__.py @@ -1,3 +1,3 @@ -from posix_skill.posix_skill import PosixSkill +from posix_skill.posix_skill import PosixSkill, PosixSkillDefinition -export = PosixSkill +__all__ = ["PosixSkill", "PosixSkillDefinition"] diff --git a/libraries/python/skills/skills/posix-skill/posix_skill/posix_skill.py b/libraries/python/skills/skills/posix-skill/posix_skill/posix_skill.py index 8fa01bf6..5bbfa17f 100644 --- a/libraries/python/skills/skills/posix-skill/posix_skill/posix_skill.py +++ b/libraries/python/skills/skills/posix-skill/posix_skill/posix_skill.py @@ -1,7 +1,18 @@ from pathlib import Path +from textwrap import dedent +from typing import Type from openai_client.chat_driver import ChatDriverConfig -from skill_library import InstructionRoutine, RoutineTypes, Skill +from skill_library import ( + ActionCallable, + ChatDriverFunctions, + InstructionRoutine, + RoutineTypes, + RunContext, + RunContextProvider, + Skill, + SkillDefinition, +) from .sandbox_shell import SandboxShell @@ -15,18 +26,13 @@ class PosixSkill(Skill): def __init__( self, - name: str, - sandbox_dir: Path, - chat_driver_config: ChatDriverConfig, - mount_dir: str = "/mnt/data", + skill_definition: "PosixSkillDefinition", + run_context_provider: RunContextProvider, ) -> None: - self.shell = SandboxShell(sandbox_dir, mount_dir) + self.shell = SandboxShell(skill_definition.sandbox_dir, skill_definition.mount_dir) - # Put all functions in a group. We are going to use all these as (1) - # skill actions, but also as (2) chat functions and (3) chat commands. - # You can also put them in separate lists if you want to differentiate - # between these. - functions = [ + # Define action + action_functions: list[ActionCallable] = [ self.cd, self.ls, self.touch, @@ -39,22 +45,25 @@ def __init__( self.write_file, ] - # Add some skill routines. + # Add skill routines. routines: list[RoutineTypes] = [ - self.make_home_dir_routine(), + self.make_home_dir_routine(skill_definition.name), ] - # Re-configure the skill's chat driver. - chat_driver_config.instructions = INSTRUCTIONS - chat_driver_config.commands = functions - chat_driver_config.functions = functions + # Add commands and functions to the skill's chat driver. + if skill_definition.chat_driver_config: + # Go ahead and make all actions available. + chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all() + chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all() + skill_definition.chat_driver_config.instructions = INSTRUCTIONS + skill_definition.chat_driver_config.commands = chat_driver_commands + skill_definition.chat_driver_config.functions = chat_driver_functions # Initialize the skill! super().__init__( - name=name, - description=DESCRIPTION, - chat_driver_config=chat_driver_config, - actions=functions, + skill_definition=skill_definition, + run_context_provider=run_context_provider, + actions=action_functions, routines=routines, ) @@ -62,29 +71,30 @@ def __init__( # Routines ################################## - def make_home_dir_routine(self) -> InstructionRoutine: + def make_home_dir_routine(self, skill_name: str) -> InstructionRoutine: """Makes a home directory for the user.""" return InstructionRoutine( "make_home_dir", + skill_name, "Create a home directory for the user.", - routine=( - "cd /mnt/data\n" - "mkdir {{username}}\n" - "cd {{username}}\n" - "mkdir Documents\n" - "mkdir Downloads\n" - "mkdir Music\n" - "mkdir Pictures\n" - "mkdir Videos\n" - ), - skill=self, + routine=dedent(""" + cd /mnt/data + mkdir {{username}} + cd {{username}} + mkdir Documents + mkdir Downloads + mkdir Music + mkdir Pictures + mkdir Videos + cd /mnt/data + """), ) ################################## # Actions ################################## - def cd(self, directory: str) -> str: + def cd(self, run_context: RunContext, directory: str) -> str: """ Change the current working directory. """ @@ -94,62 +104,80 @@ def cd(self, directory: str) -> str: except FileNotFoundError: return f"Directory {directory} not found." - def ls(self, path: str = ".") -> list[str]: + def ls(self, run_context: RunContext, path: str = ".") -> list[str]: """ List directory contents. """ return self.shell.ls(path) - def touch(self, filename: str) -> str: + def touch(self, run_context: RunContext, filename: str) -> str: """ Create an empty file. """ self.shell.touch(filename) return f"Created file {filename}." - def mkdir(self, dirname: str) -> str: + def mkdir(self, run_context: RunContext, dirname: str) -> str: """ Create a new directory. """ self.shell.mkdir(dirname) return f"Created directory {dirname}." - def mv(self, src: str, dest: str) -> str: + def mv(self, run_context: RunContext, src: str, dest: str) -> str: """ Move a file or directory. """ self.shell.mv(src, dest) return f"Moved {src} to {dest}." - def rm(self, path: str) -> str: + def rm(self, run_context: RunContext, path: str) -> str: """ Remove a file or directory. """ self.shell.rm(path) return f"Removed {path}." - def pwd(self) -> str: + def pwd(self, run_context: RunContext) -> str: """ Return the current directory. """ return self.shell.pwd() - def run_command(self, command: str) -> str: + def run_command(self, run_context: RunContext, command: str) -> str: """ Run a shell command in the current directory. """ stdout, stderr = self.shell.run_command(command) return f"Command output:\n{stdout}\nCommand errors:\n{stderr}" - def read_file(self, filename: str) -> str: + def read_file(self, run_context: RunContext, filename: str) -> str: """ Read the contents of a file. """ return self.shell.read_file(filename) - def write_file(self, filename: str, content: str) -> str: + def write_file(self, run_context: RunContext, filename: str, content: str) -> str: """ Write content to a file. """ self.shell.write_file(filename, content) return f"Wrote content to {filename}." + + +class PosixSkillDefinition(SkillDefinition): + def __init__( + self, + name: str, + sandbox_dir: Path, + mount_dir: str = "/mnt/data", + description: str | None = None, + chat_driver_config: ChatDriverConfig | None = None, + skill_class: Type[Skill] = PosixSkill, + ) -> None: + self.name = name + self.description = description or DESCRIPTION + self.sandbox_dir = sandbox_dir + self.mount_dir = mount_dir + self.chat_driver_config = chat_driver_config + self.skill_class = skill_class diff --git a/libraries/python/skills/skills/posix-skill/posix_skill/sandbox_shell.py b/libraries/python/skills/skills/posix-skill/posix_skill/sandbox_shell.py index 681a8569..b33bf96c 100644 --- a/libraries/python/skills/skills/posix-skill/posix_skill/sandbox_shell.py +++ b/libraries/python/skills/skills/posix-skill/posix_skill/sandbox_shell.py @@ -1,7 +1,7 @@ import os -from pathlib import Path import shutil import subprocess +from pathlib import Path class SandboxShell: @@ -11,7 +11,7 @@ def __init__(self, sandbox_dir: Path, mount_dir: str = "/mnt/data") -> None: os.makedirs(self.sandbox_dir, exist_ok=True) self.current_dir = self.sandbox_dir - def _resolve_path(self, path) -> str: + def _resolve_path(self, path: str) -> str: """Resolve the given path within the sandbox.""" # If the path is a mount path, return the corresponding sandbox path. @@ -37,7 +37,7 @@ def cd(self, path) -> None: raise FileNotFoundError(f"No such directory: {path}") self.current_dir = new_dir - def ls(self, path=".") -> list[str]: + def ls(self, path: str = ".") -> list[str]: """List directory contents.""" target_dir = self._resolve_path(path) return os.listdir(target_dir) diff --git a/libraries/python/skills/skills/posix-skill/posix_skill/skill_definition.py b/libraries/python/skills/skills/posix-skill/posix_skill/skill_definition.py new file mode 100644 index 00000000..65088c02 --- /dev/null +++ b/libraries/python/skills/skills/posix-skill/posix_skill/skill_definition.py @@ -0,0 +1,35 @@ +from pathlib import Path +from typing import TYPE_CHECKING, Type + +from openai_client.chat_driver import ChatDriverConfig +from skill_library import ( + Skill, + SkillDefinition, +) + +if TYPE_CHECKING: + from .posix_skill import PosixSkill + + +NAME = "posix" +CLASS_NAME = "PosixSkill" +DESCRIPTION = "Manages the filesystem using a sand-boxed Posix shell." +DEFAULT_MAX_RETRIES = 3 +INSTRUCTIONS = "You are an assistant that has access to a sand-boxed Posix shell." + +class PosixSkillDefinition(SkillDefinition): + def __init__( + self, + name: str, + sandbox_dir: Path, + mount_dir: str = "/mnt/data", + description: str | None = None, + chat_driver_config: ChatDriverConfig | None = None, + skill_class: Type[Skill] = PosixSkill, + ) -> None: + self.name = name + self.description = description or DESCRIPTION + self.sandbox_dir = sandbox_dir + self.mount_dir = mount_dir + self.chat_driver_config = chat_driver_config + self.skill_class = skill_class diff --git a/libraries/python/skills/skills/prospector-skill/prospector_skill/skill.py b/libraries/python/skills/skills/prospector-skill/prospector_skill/skill.py index b66afc0b..3a703b79 100644 --- a/libraries/python/skills/skills/prospector-skill/prospector_skill/skill.py +++ b/libraries/python/skills/skills/prospector-skill/prospector_skill/skill.py @@ -1,6 +1,13 @@ from context import ContextProtocol from openai_client.chat_driver import ChatDriverConfig -from skill_library import InstructionRoutine, RoutineTypes, Skill +from skill_library import ( + ChatDriverFunctions, + InstructionRoutine, + RoutineTypes, + RunContextProvider, + Skill, + SkillDefinition, +) NAME = "prospector" CLASS_NAME = "ProspectorSkill" @@ -12,10 +19,13 @@ class ProspectorSkill(Skill): def __init__( self, - chat_driver_config: ChatDriverConfig, + skill_definition: "ProspectorSkillDefinition", + run_context_provider: RunContextProvider, ) -> None: + self.skill_name = skill_definition.name + # Add some actions. - actions = [ + action_functions = [ self.gather_information_action, self.create_draft_action, self.example_action, @@ -30,15 +40,16 @@ def __init__( # Configure the chat driver (if using). Register all the supplied actions to it as either # commands, functions, or both. - chat_driver_config.instructions = INSTRUCTIONS - chat_driver_config.commands = actions - chat_driver_config.functions = actions + if skill_definition.chat_driver_config: + chat_driver_commands = ChatDriverFunctions(action_functions, run_context_provider).all() + chat_driver_functions = ChatDriverFunctions(action_functions, run_context_provider).all() + skill_definition.chat_driver_config.commands = chat_driver_commands + skill_definition.chat_driver_config.functions = chat_driver_functions super().__init__( - name=NAME, - description=DESCRIPTION, - chat_driver_config=chat_driver_config, - actions=actions, + skill_definition=skill_definition, + run_context_provider=run_context_provider, + actions=action_functions, routines=routines, ) @@ -51,10 +62,10 @@ def draft_grant_proposal_routine(self) -> InstructionRoutine: Update this routine description. """ return InstructionRoutine( - "draft_grant_proposal", # name of routine - "Draft a grant proposal.", # description of routine + name="draft_grant_proposal", + skill_name=self.skill_name, + description="Draft a grant proposal.", routine=("gather_information_action\ncreate_draft_action\n"), - skill=self, ) def example_routine(self) -> InstructionRoutine: @@ -62,10 +73,10 @@ def example_routine(self) -> InstructionRoutine: Update this routine description. """ return InstructionRoutine( - "template_example", # name of routine - "Description of what the routine does.", + name="template_example", + skill_name=self.skill_name, + description="Description of what the routine does.", routine=("template_example_action\ntemplate_example_with_parameters_action bar\n"), - skill=self, ) ################################## @@ -95,3 +106,23 @@ def example_with_parameters_action(self, context: ContextProtocol, foo: str) -> Update this action description. """ pass + + +class ProspectorSkillDefinition(SkillDefinition): + def __init__( + self, + name: str, + description: str | None = None, + chat_driver_config: ChatDriverConfig | None = None, + skill_class: type[Skill] = Skill, + ) -> None: + if chat_driver_config: + chat_driver_config.instructions = INSTRUCTIONS + + # Initialize the skill! + super().__init__( + name=name, + skill_class=skill_class, + description=description or DESCRIPTION, + chat_driver_config=chat_driver_config, + ) diff --git a/libraries/python/skills/skills/skill-template/your_skill/skill.py b/libraries/python/skills/skills/skill-template/your_skill/skill.py index 99d17d8c..c5e19fb8 100644 --- a/libraries/python/skills/skills/skill-template/your_skill/skill.py +++ b/libraries/python/skills/skills/skill-template/your_skill/skill.py @@ -1,6 +1,16 @@ -from context import ContextProtocol +from typing import Type + from openai_client.chat_driver import ChatDriverConfig -from skill_library import InstructionRoutine, RoutineTypes, Skill +from skill_library import ( + ActionCallable, + ChatDriverFunctions, + InstructionRoutine, + RoutineTypes, + RunContext, + RunContextProvider, + Skill, + SkillDefinition, +) NAME = "your" CLASS_NAME = "YourSkill" @@ -12,10 +22,14 @@ class YourSkill(Skill): def __init__( self, - chat_driver_config: ChatDriverConfig, + skill_definition: "YourSkillDefinition", + run_context_provider: RunContextProvider, ) -> None: - # Add some actions. - actions = [ + # Convenience variable to store the skill name. + self.skill_name = skill_definition.name + + # Define some functions to be used as actions. + action_functions: list[ActionCallable] = [ self.example_action, self.example_with_parameters_action, ] @@ -27,15 +41,19 @@ def __init__( # Configure the chat driver (if using). Register all the supplied actions to it as either # commands, functions, or both. - chat_driver_config.instructions = INSTRUCTIONS - chat_driver_config.commands = actions - chat_driver_config.functions = actions + if skill_definition.chat_driver_config: + skill_definition.chat_driver_config.instructions = INSTRUCTIONS + skill_definition.chat_driver_config.commands = ChatDriverFunctions( + action_functions, run_context_provider + ).all() + skill_definition.chat_driver_config.functions = ChatDriverFunctions( + action_functions, run_context_provider + ).all() super().__init__( - name=NAME, - description=DESCRIPTION, - chat_driver_config=chat_driver_config, - actions=actions, + skill_definition=skill_definition, + run_context_provider=run_context_provider, + actions=action_functions, routines=routines, ) @@ -48,24 +66,39 @@ def example_routine(self) -> InstructionRoutine: Update this routine description. """ return InstructionRoutine( - "template_example", # name of routine - "Description of what the routine does.", + name="template_example", # name of routine + skill_name=self.skill_name, + description="Description of what the routine does.", routine=("template_example_action\ntemplate_example_with_parameters_action bar\n"), - skill=self, ) ################################## # Actions ################################## - def example_action(self, context: ContextProtocol) -> None: + def example_action(self, run_context: RunContext) -> None: """ Update this action description. """ pass - def example_with_parameters_action(self, context: ContextProtocol, foo: str) -> None: + def example_with_parameters_action(self, run_context: RunContext, foo: str) -> None: """ Update this action description. """ pass + + +class YourSkillDefinition(SkillDefinition): + def __init__( + self, + name: str, + description: str | None = None, + chat_driver_config: ChatDriverConfig | None = None, + skill_class: Type[Skill] = YourSkill, + # Any other parameters you want to pass to the skill. + ) -> None: + self.name = name + self.description = description or DESCRIPTION + self.chat_driver_config = chat_driver_config + self.skill_class = skill_class