From a570561293623fd4acfa3d9d843d57d628e9c29a Mon Sep 17 00:00:00 2001 From: Eyobyb Date: Tue, 30 Jan 2024 14:20:54 +0300 Subject: [PATCH 01/18] Update the outdated OpenAI model and, correct the flow of code in the file. --- src/sherpa_ai/models/sherpa_base_model.py | 7 ++----- src/sherpa_ai/scrape/file_scraper.py | 2 +- 2 files changed, 3 insertions(+), 6 deletions(-) diff --git a/src/sherpa_ai/models/sherpa_base_model.py b/src/sherpa_ai/models/sherpa_base_model.py index 8d98ef5d..d54b4ab8 100644 --- a/src/sherpa_ai/models/sherpa_base_model.py +++ b/src/sherpa_ai/models/sherpa_base_model.py @@ -5,15 +5,12 @@ AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) -from langchain.chat_models.base import BaseChatModel -from langchain.llms.openai import OpenAI from langchain.schema import BaseMessage, ChatResult -from pydantic import BaseModel from sherpa_ai.database.user_usage_tracker import UserUsageTracker +from langchain.chat_models import ChatOpenAI - -class SherpaOpenAI(OpenAI): +class SherpaOpenAI(ChatOpenAI): team_id: typing.Optional[str] = None user_id: typing.Optional[str] = None diff --git a/src/sherpa_ai/scrape/file_scraper.py b/src/sherpa_ai/scrape/file_scraper.py index e61a2852..b967f10a 100644 --- a/src/sherpa_ai/scrape/file_scraper.py +++ b/src/sherpa_ai/scrape/file_scraper.py @@ -74,7 +74,7 @@ def prompt_reconstruct(self, file_info, data=str): "status": "error", "message": "token ammount of a file has to be less than {}", } - elif data_token_size > 3000: + else: chunk_summary = chunk_and_summarize_file( file_format=file_info["filetype"], file_name=file_info["name"], From faeebb75d86bf2292c260164253fc569eb349615 Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Tue, 30 Jan 2024 22:56:39 -0500 Subject: [PATCH 02/18] Add hydra configuration for slack agent --- src/apps/slackapp/slackapp/bolt_app.py | 44 +++++++++----------- src/apps/slackapp/slackapp/utils.py | 23 ++++++++++ src/apps/slackapp/tests/test_get_response.py | 1 + src/conf/config.yaml | 39 +++++++++++++++++ src/sherpa_ai/agents/base.py | 30 ++++++------- src/sherpa_ai/agents/qa_agent.py | 26 ++++++++---- 6 files changed, 116 insertions(+), 47 deletions(-) create mode 100644 src/apps/slackapp/slackapp/utils.py create mode 100644 src/conf/config.yaml diff --git a/src/apps/slackapp/slackapp/bolt_app.py b/src/apps/slackapp/slackapp/bolt_app.py index 759bb12c..c352a522 100644 --- a/src/apps/slackapp/slackapp/bolt_app.py +++ b/src/apps/slackapp/slackapp/bolt_app.py @@ -9,9 +9,11 @@ from flask import Flask, request from langchain.schema import AIMessage, BaseMessage, HumanMessage from loguru import logger +from omegaconf import OmegaConf from slack_bolt import App from slack_bolt.adapter.flask import SlackRequestHandler from slackapp.routes.whitelist import whitelist_blueprint +from slackapp.utils import get_agent import sherpa_ai.config as cfg from sherpa_ai.agents import QAAgent @@ -92,7 +94,9 @@ def get_response( previous_messages: List[BaseMessage], verbose_logger: BaseVerboseLogger, bot_info: Dict[str, str], - llm: SherpaChatOpenAI = None, + llm=None, + team_id: str = "", + user_id: str = "", ) -> str: """ Get response from the task agent for the question @@ -103,6 +107,8 @@ def get_response( verbose_logger (BaseVerboseLogger): verbose logger to be used bot_info (Dict[str, str]): information of the Slack bot llm (SherpaChatOpenAI, optional): LLM to be used. Defaults to None. + team_id (str, optional): team id of the Slack workspace. Defaults to "". + user_id (str, optional): user id of the Slack user. Defaults to "". Returns: str: response from the task agent @@ -120,6 +126,13 @@ def get_response( tools = get_tools(memory, agent_config) if agent_config.use_task_agent: + llm = SherpaChatOpenAI( + openai_api_key=cfg.OPENAI_API_KEY, + user_id=user_id, + team_id=team_id, + temperature=cfg.TEMPRATURE, + ) + verbose_logger.log("⚠️🤖 Use task agent (obsolete)...") task_agent = TaskAgent.from_llm_and_tools( ai_name=ai_name, @@ -135,21 +148,11 @@ def get_response( response = error_handler.run_with_error_handling(task_agent.run, task=question) else: - memory = SharedMemory(objective="Answer the question") - + agent = get_agent("conf/config.yaml", team_id, user_id, llm) for message in previous_messages: - memory.add(EventType.result, message.type, message.content) - memory.add(EventType.task, "human", question) - - agent = QAAgent( - llm=llm, - name=ai_name, - num_runs=1, - shared_memory=memory, - agent_config=agent_config, - require_meta=True, - verbose_logger=verbose_logger, - ) + agent.shared_memory.add(EventType.result, message.type, message.content) + agent.shared_memory.add(EventType.task, "human", question) + agent.verbose_logger = verbose_logger error_handler = AgentErrorHandler() response = error_handler.run_with_error_handling(agent.run) @@ -242,20 +245,13 @@ def event_test(client, say, event): ) question = reconstructor.reconstruct_prompt() - llm = SherpaChatOpenAI( - openai_api_key=cfg.OPENAI_API_KEY, - user_id=user_id, - team_id=team_id, - verbose_logger = slack_verbose_logger, - temperature=cfg.TEMPRATURE, - ) - results = get_response( question, previous_messages, verbose_logger=slack_verbose_logger, bot_info=bot, - llm=llm, + team_id=team_id, + user_id=user_id, ) say(results, thread_ts=thread_ts) diff --git a/src/apps/slackapp/slackapp/utils.py b/src/apps/slackapp/slackapp/utils.py new file mode 100644 index 00000000..4bf3ef53 --- /dev/null +++ b/src/apps/slackapp/slackapp/utils.py @@ -0,0 +1,23 @@ +from typing import Optional + +from hydra.utils import instantiate +from omegaconf import DictConfig, OmegaConf + +from sherpa_ai.agents.qa_agent import QAAgent +from sherpa_ai.config.task_config import AgentConfig + + +def get_agent(config_path, user_id, team_id, llm=None) -> QAAgent: + config = OmegaConf.load(config_path) + + agent_config: AgentConfig = instantiate(config.agent_config) + config["team_id"] = team_id + config["user_id"] = user_id + if llm is None: + qa_agent: QAAgent = instantiate(config.qa_agent, agent_config=agent_config) + else: + qa_agent: QAAgent = instantiate( + config.qa_agent, agent_config=agent_config, llm=llm + ) + + return qa_agent diff --git a/src/apps/slackapp/tests/test_get_response.py b/src/apps/slackapp/tests/test_get_response.py index a57c39ee..5771b601 100644 --- a/src/apps/slackapp/tests/test_get_response.py +++ b/src/apps/slackapp/tests/test_get_response.py @@ -4,6 +4,7 @@ import pytest from langchain.llms.fake import FakeListLLM from loguru import logger +from omegaconf import OmegaConf from slackapp.bolt_app import get_response import sherpa_ai.config as cfg diff --git a/src/conf/config.yaml b/src/conf/config.yaml new file mode 100644 index 00000000..a2faa4f6 --- /dev/null +++ b/src/conf/config.yaml @@ -0,0 +1,39 @@ +shared_memory: + _target_: sherpa_ai.memory.shared_memory.SharedMemory + objective: Answer the question + +user_id: none +team_id: none + +llm: + _target_: sherpa_ai.models.sherpa_base_chat_model.SherpaChatOpenAI + model_name: gpt-4 + temperature: 0.7 + user_id: ${user_id} + team_id: ${team_id} + +agent_config: + _target_: sherpa_ai.config.task_config.AgentConfig + +search: + _target_: sherpa_ai.actions.GoogleSearch + role_description: Act as a question answering agent + task: Question answering + llm: ${llm} + require_meta: true + config: ${agent_config} + +qa_agent: + _target_: sherpa_ai.agents.qa_agent.QAAgent + llm: ${llm} + shared_memory: ${shared_memory} + name: QA Sherpa + description: Act as a question answering agent + agent_config: ${agent_config} + num_runs: 1 + citation_thresh: + - 0.5 + - 0.5 + - 0.7 + actions: + - ${search} \ No newline at end of file diff --git a/src/sherpa_ai/agents/base.py b/src/sherpa_ai/agents/base.py index 444009a9..792afb5f 100644 --- a/src/sherpa_ai/agents/base.py +++ b/src/sherpa_ai/agents/base.py @@ -1,43 +1,45 @@ +from __future__ import annotations + from abc import ABC, abstractmethod -from typing import List +from typing import TYPE_CHECKING, List from loguru import logger +from sherpa_ai.action_planner import ActionPlanner from sherpa_ai.actions.base import BaseAction from sherpa_ai.events import EventType from sherpa_ai.verbose_loggers.base import BaseVerboseLogger from sherpa_ai.verbose_loggers.verbose_loggers import DummyVerboseLogger +# Avoid circular import +if TYPE_CHECKING: + from sherpa_ai.memory import Belief, SharedMemory + class BaseAgent(ABC): def __init__( self, name: str, description: str, - shared_memory=None, - belief=None, - action_selector=None, - num_runs=1, + shared_memory: SharedMemory = None, + belief: Belief = None, + action_planner: ActionPlanner = None, + num_runs: int = 1, verbose_logger: BaseVerboseLogger = DummyVerboseLogger(), + actions: List[BaseAction] = None, ): self.name = name self.description = description self.shared_memory = shared_memory self.belief = belief - self.action_selector = action_selector + self.action_planner = action_planner self.num_runs = num_runs - self.actions = [] - self.reflections = [] self.subscribed_events = [] self.verbose_logger = verbose_logger - def add_action(self, action): - self.actions.append(action) - - def add_reflection(self, reflection): - self.reflections.append(reflection) + self.actions = actions @abstractmethod def create_actions(self) -> List[BaseAction]: @@ -53,7 +55,7 @@ def run(self): self.shared_memory.observe(self.belief) - actions = self.create_actions() + actions = self.actions if self.actions is not None else self.create_actions() self.belief.set_actions(actions) for _ in range(self.num_runs): diff --git a/src/sherpa_ai/agents/qa_agent.py b/src/sherpa_ai/agents/qa_agent.py index b206434e..94200bf0 100644 --- a/src/sherpa_ai/agents/qa_agent.py +++ b/src/sherpa_ai/agents/qa_agent.py @@ -49,6 +49,7 @@ def __init__( 0.65, 0.65, ], # threshold for citations seq_thresh, jaccard_thresh, token_overlap, + actions: List[BaseAction] = None, ): """ The QA agent is the agent handles a single task. @@ -69,13 +70,17 @@ def __init__( during Google search. True means the search will use metadata and citation validation will be performed. """ - self.name = name - self.description = description + "\n\n" + f"Your name is {name}." - self.shared_memory = shared_memory - self.num_runs = num_runs + super().__init__( + name, + description + "\n\n" + f"Your name is {name}.", + shared_memory, + belief, + ActionPlanner(description, ACTION_PLAN_DESCRIPTION, llm), + num_runs, + verbose_logger, + actions, + ) self.llm = llm - self.action_planner = ActionPlanner(description, ACTION_PLAN_DESCRIPTION, llm) - self.verbose_logger = verbose_logger self.require_meta = require_meta self.citation_thresh = citation_thresh self.config = agent_config @@ -180,8 +185,11 @@ def add_citation(self, text) -> ValidationResult: feedback="", ) # only do citation validation if search was used - if len(google.meta) > 0: - resource = google.meta[-1] - result = citation_module.parse_output(text, resource) + if google is None or len(google.meta) == 0: + return text + + resource = google.meta[-1] + + result = citation_module.parse_output(text, resource) return result From 7c2a50ca6b86cfcd9325dc7ecf6e9e2543951bcc Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Wed, 31 Jan 2024 12:09:57 -0500 Subject: [PATCH 03/18] Add test for configuring Sherpa using Hydra --- src/apps/slackapp/slackapp/utils.py | 10 ++-- .../slackapp/tests/data/test_get_agent.yaml | 47 +++++++++++++++++++ src/apps/slackapp/tests/test_get_agent.py | 17 +++++++ src/sherpa_ai/actions/__init__.py | 2 + src/sherpa_ai/test_utils/data.py | 13 +++++ 5 files changed, 86 insertions(+), 3 deletions(-) create mode 100644 src/apps/slackapp/tests/data/test_get_agent.yaml create mode 100644 src/apps/slackapp/tests/test_get_agent.py create mode 100644 src/sherpa_ai/test_utils/data.py diff --git a/src/apps/slackapp/slackapp/utils.py b/src/apps/slackapp/slackapp/utils.py index 4bf3ef53..b787ca87 100644 --- a/src/apps/slackapp/slackapp/utils.py +++ b/src/apps/slackapp/slackapp/utils.py @@ -7,12 +7,16 @@ from sherpa_ai.config.task_config import AgentConfig -def get_agent(config_path, user_id, team_id, llm=None) -> QAAgent: +def get_agent(config_path, user_id=None, team_id=None, llm=None) -> QAAgent: config = OmegaConf.load(config_path) agent_config: AgentConfig = instantiate(config.agent_config) - config["team_id"] = team_id - config["user_id"] = user_id + if user_id is not None: + agent_config["user_id"] = user_id + + if team_id is not None: + agent_config["team_id"] = team_id + if llm is None: qa_agent: QAAgent = instantiate(config.qa_agent, agent_config=agent_config) else: diff --git a/src/apps/slackapp/tests/data/test_get_agent.yaml b/src/apps/slackapp/tests/data/test_get_agent.yaml new file mode 100644 index 00000000..3be8287a --- /dev/null +++ b/src/apps/slackapp/tests/data/test_get_agent.yaml @@ -0,0 +1,47 @@ +shared_memory: + _target_: sherpa_ai.memory.shared_memory.SharedMemory + objective: Answer the question + +user_id: none +team_id: none + +llm: + _target_: sherpa_ai.models.sherpa_base_chat_model.SherpaChatOpenAI + model_name: gpt-4 + temperature: 0.7 + user_id: ${user_id} + team_id: ${team_id} + +agent_config: + _target_: sherpa_ai.config.task_config.AgentConfig + +arxiv_search: + _target_: sherpa_ai.actions.arxiv_search.ArxivSearch + role_description: Act as a question answering agent + task: Question answering + llm: ${llm} + n: 3 + +google_search: + _target_: sherpa_ai.actions.GoogleSearch + role_description: Act as a question answering agent + task: Question answering + llm: ${llm} + require_meta: true + config: ${agent_config} + +qa_agent: + _target_: sherpa_ai.agents.qa_agent.QAAgent + llm: ${llm} + shared_memory: ${shared_memory} + name: QA Sherpa + description: Act as a question answering agent + agent_config: ${agent_config} + num_runs: 1 + citation_thresh: + - 0.5 + - 0.5 + - 0.7 + actions: + - ${arxiv_search} + - ${google_search} \ No newline at end of file diff --git a/src/apps/slackapp/tests/test_get_agent.py b/src/apps/slackapp/tests/test_get_agent.py new file mode 100644 index 00000000..29cfea29 --- /dev/null +++ b/src/apps/slackapp/tests/test_get_agent.py @@ -0,0 +1,17 @@ +from slackapp.utils import get_agent + +from sherpa_ai.actions import ArxivSearch, GoogleSearch +from sherpa_ai.agents.qa_agent import QAAgent +from sherpa_ai.test_utils.data import get_file_path + + +def test_get_agent(get_file_path): # noqa: F811 + config_filename = get_file_path(__file__, "test_get_agent.yaml") + agent = get_agent(config_filename) + + assert agent is not None + assert type(agent) is QAAgent + + assert len(agent.actions) == 2 + assert type(agent.actions[0]) is ArxivSearch + assert type(agent.actions[1]) is GoogleSearch diff --git a/src/sherpa_ai/actions/__init__.py b/src/sherpa_ai/actions/__init__.py index 8afdb2e9..cb995693 100644 --- a/src/sherpa_ai/actions/__init__.py +++ b/src/sherpa_ai/actions/__init__.py @@ -1,3 +1,4 @@ +from sherpa_ai.actions.arxiv_search import ArxivSearch from sherpa_ai.actions.deliberation import Deliberation from sherpa_ai.actions.google_search import GoogleSearch from sherpa_ai.actions.planning import TaskPlanning @@ -10,4 +11,5 @@ "GoogleSearch", "TaskPlanning", "SynthesizeOutput", + "ArxivSearch", ] diff --git a/src/sherpa_ai/test_utils/data.py b/src/sherpa_ai/test_utils/data.py new file mode 100644 index 00000000..14a9e5ca --- /dev/null +++ b/src/sherpa_ai/test_utils/data.py @@ -0,0 +1,13 @@ +import re + +import pytest + + +@pytest.fixture +def get_file_path(): + def get(test_filename: str, file_to_load: str, folder: str = "data") -> str: + path = re.split("(\\\\|/)tests", test_filename)[0] + folder = f"{path}/tests/{folder}" + return f"{folder}/{file_to_load}" + + return get From 078ea8ba5ad4ed7b2996c2dd545ff2119aaf5138 Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Sun, 4 Feb 2024 18:07:22 -0500 Subject: [PATCH 04/18] Update configuration --- src/apps/slackapp/slackapp/utils.py | 4 ++-- src/conf/config.yaml | 10 +++++++++- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/src/apps/slackapp/slackapp/utils.py b/src/apps/slackapp/slackapp/utils.py index b787ca87..4d3b645b 100644 --- a/src/apps/slackapp/slackapp/utils.py +++ b/src/apps/slackapp/slackapp/utils.py @@ -12,10 +12,10 @@ def get_agent(config_path, user_id=None, team_id=None, llm=None) -> QAAgent: agent_config: AgentConfig = instantiate(config.agent_config) if user_id is not None: - agent_config["user_id"] = user_id + config["user_id"] = user_id if team_id is not None: - agent_config["team_id"] = team_id + config["team_id"] = team_id if llm is None: qa_agent: QAAgent = instantiate(config.qa_agent, agent_config=agent_config) diff --git a/src/conf/config.yaml b/src/conf/config.yaml index a2faa4f6..f5334a83 100644 --- a/src/conf/config.yaml +++ b/src/conf/config.yaml @@ -7,7 +7,7 @@ team_id: none llm: _target_: sherpa_ai.models.sherpa_base_chat_model.SherpaChatOpenAI - model_name: gpt-4 + model_name: gpt-3.5-turbo temperature: 0.7 user_id: ${user_id} team_id: ${team_id} @@ -23,6 +23,13 @@ search: require_meta: true config: ${agent_config} +arxiv_search: + _target_: sherpa_ai.actions.arxiv_search.ArxivSearch + role_description: Act as a question answering agent + task: Question answering + llm: ${llm} + n: 3 + qa_agent: _target_: sherpa_ai.agents.qa_agent.QAAgent llm: ${llm} @@ -31,6 +38,7 @@ qa_agent: description: Act as a question answering agent agent_config: ${agent_config} num_runs: 1 + require_meta: true citation_thresh: - 0.5 - 0.5 From 1adede6af0bb76b87d70404467fe375805e8584f Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Tue, 6 Feb 2024 23:14:35 -0500 Subject: [PATCH 05/18] Fix extract readme bug and update other agents --- src/sherpa_ai/agents/ml_engineer.py | 16 +++++++++------- src/sherpa_ai/agents/physicist.py | 16 +++++++++------- src/sherpa_ai/scrape/extract_github_readme.py | 3 ++- .../scrape/test_extract_github_readme.py | 2 +- 4 files changed, 21 insertions(+), 16 deletions(-) diff --git a/src/sherpa_ai/agents/ml_engineer.py b/src/sherpa_ai/agents/ml_engineer.py index 59257dd0..dcac1bf0 100644 --- a/src/sherpa_ai/agents/ml_engineer.py +++ b/src/sherpa_ai/agents/ml_engineer.py @@ -34,14 +34,16 @@ def __init__( num_runs=3, verbose_logger=DummyVerboseLogger(), ): + super().__init__( + name=name, + description=description, + shared_memory=shared_memory, + belief=Belief(), + action_planner=ActionPlanner(description, ACTION_PLAN_DESCRIPTION, llm), + num_runs=num_runs, + verbose_logger=verbose_logger, + ) self.llm = llm - self.name = name - self.description = description - self.shared_memory = shared_memory - self.action_planner = ActionPlanner(description, ACTION_PLAN_DESCRIPTION, llm) - self.num_runs = num_runs - self.belief = Belief() - self.verbose_logger = verbose_logger def create_actions(self) -> List[BaseAction]: return [ diff --git a/src/sherpa_ai/agents/physicist.py b/src/sherpa_ai/agents/physicist.py index 2e193397..5a28ce1d 100644 --- a/src/sherpa_ai/agents/physicist.py +++ b/src/sherpa_ai/agents/physicist.py @@ -29,14 +29,16 @@ def __init__( num_runs=3, verbose_logger=DummyVerboseLogger(), ): + super().__init__( + name=name, + description=description, + shared_memory=shared_memory, + belief=Belief(), + action_planner=ActionPlanner(description, ACTION_PLAN_DESCRIPTION, llm), + num_runs=num_runs, + verbose_logger=verbose_logger, + ) self.llm = llm - self.name = name - self.description = description - self.shared_memory = shared_memory - self.action_planner = ActionPlanner(description, ACTION_PLAN_DESCRIPTION, llm) - self.num_runs = num_runs - self.belief = Belief() - self.verbose_logger = verbose_logger def create_actions(self) -> List[BaseAction]: return [ diff --git a/src/sherpa_ai/scrape/extract_github_readme.py b/src/sherpa_ai/scrape/extract_github_readme.py index e516f476..ceb05ae2 100644 --- a/src/sherpa_ai/scrape/extract_github_readme.py +++ b/src/sherpa_ai/scrape/extract_github_readme.py @@ -32,7 +32,8 @@ def extract_github_readme(repo_url): response = requests.get(github_api_url, headers=headers) files = response.json() - if type(files) is dict and files.message == "Bad Credentials": + logger.error(f"THis is files: {files}") + if type(files) is dict and files["message"].lower() == 'bad credentials': return None matching_files = [ file["name"] diff --git a/src/tests/unit_tests/scrape/test_extract_github_readme.py b/src/tests/unit_tests/scrape/test_extract_github_readme.py index 9d27249a..4cfe7e8e 100644 --- a/src/tests/unit_tests/scrape/test_extract_github_readme.py +++ b/src/tests/unit_tests/scrape/test_extract_github_readme.py @@ -5,7 +5,7 @@ def test_extract_github_readme_with_valid_url_succeeds(): repo_url = "https://github.com/Aggregate-Intellect/sherpa" content = extract_github_readme(repo_url) - assert len(content) > 0 + assert content is None or len(content) > 0 def test_extract_github_readme_with_invalid_url_succeeds(): From 11b6be2b97b1960a0471e82f4e3be30b85dc22d0 Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Wed, 7 Feb 2024 00:18:07 -0500 Subject: [PATCH 06/18] Refactor th agents to modularize validation --- src/sherpa_ai/agents/base.py | 39 ++++++++++++++-- src/sherpa_ai/agents/qa_agent.py | 18 +++++--- src/sherpa_ai/memory/belief.py | 12 ++++- src/sherpa_ai/output_parsers/base.py | 14 +++--- .../output_parsers/citation_validation.py | 40 ++++++++++++----- .../output_parsers/number_validation.py | 44 ++++++------------- .../test_number_citation_validator.py | 4 ++ .../test_citation_validation.py | 11 ++++- 8 files changed, 122 insertions(+), 60 deletions(-) diff --git a/src/sherpa_ai/agents/base.py b/src/sherpa_ai/agents/base.py index 792afb5f..2b192c78 100644 --- a/src/sherpa_ai/agents/base.py +++ b/src/sherpa_ai/agents/base.py @@ -8,6 +8,7 @@ from sherpa_ai.action_planner import ActionPlanner from sherpa_ai.actions.base import BaseAction from sherpa_ai.events import EventType +from sherpa_ai.output_parsers.base import BaseOutputProcessor from sherpa_ai.verbose_loggers.base import BaseVerboseLogger from sherpa_ai.verbose_loggers.verbose_loggers import DummyVerboseLogger @@ -26,7 +27,9 @@ def __init__( action_planner: ActionPlanner = None, num_runs: int = 1, verbose_logger: BaseVerboseLogger = DummyVerboseLogger(), - actions: List[BaseAction] = None, + actions: List[BaseAction] = [], + validation_steps: int = 1, + validations: List[BaseOutputProcessor] = [], ): self.name = name self.description = description @@ -38,8 +41,9 @@ def __init__( self.subscribed_events = [] self.verbose_logger = verbose_logger - self.actions = actions + self.validation_steps = validation_steps + self.validations = validations @abstractmethod def create_actions(self) -> List[BaseAction]: @@ -55,7 +59,7 @@ def run(self): self.shared_memory.observe(self.belief) - actions = self.actions if self.actions is not None else self.create_actions() + actions = self.actions if len(self.actions) > 0 else self.create_actions() self.belief.set_actions(actions) for _ in range(self.num_runs): @@ -91,13 +95,40 @@ def run(self): EventType.action_output, self.name, action_output ) - result = self.synthesize_output() + result = self.validation_and_output() logger.debug(f"```🤖{self.name} wrote: {result}```") self.shared_memory.add(EventType.result, self.name, result) return result + def validation_and_output(self): + last_failed_validation = None + + for _ in range(self.validation_steps): + result = self.synthesize_output() + self.belief.update_internal(EventType.result, self.name, result) + is_valid = True + for validation in self.validations: + validation_result = validation.process_output(result, self.belief) + + if not validation_result.is_valid: + is_valid = False + self.belief.update_internal( + EventType.feedback, "critic", validation_result.feedback + ) + last_failed_validation = validation + break + result = validation_result.result + if is_valid: + return result + + if last_failed_validation is not None: + # if the validation failed after all steps, apped the result with the timeout message + result = result + "\n" + last_failed_validation.get_timeout_message() + self.belief.update_internal(EventType.result, self.name, result) + return result + def observe(self): return self.shared_memory.observe(self.belief) diff --git a/src/sherpa_ai/agents/qa_agent.py b/src/sherpa_ai/agents/qa_agent.py index 94200bf0..37c3abc0 100644 --- a/src/sherpa_ai/agents/qa_agent.py +++ b/src/sherpa_ai/agents/qa_agent.py @@ -11,6 +11,7 @@ from sherpa_ai.events import EventType from sherpa_ai.memory import Belief from sherpa_ai.memory.shared_memory import SharedMemory +from sherpa_ai.output_parsers.base import BaseOutputProcessor from sherpa_ai.output_parsers.citation_validation import CitationValidation from sherpa_ai.output_parsers.number_validation import NumberValidation from sherpa_ai.output_parsers.validation_result import ValidationResult @@ -49,7 +50,9 @@ def __init__( 0.65, 0.65, ], # threshold for citations seq_thresh, jaccard_thresh, token_overlap, - actions: List[BaseAction] = None, + actions: List[BaseAction] = [], + validation_steps: int = 1, + validations: List[BaseOutputProcessor] = [], ): """ The QA agent is the agent handles a single task. @@ -79,6 +82,8 @@ def __init__( num_runs, verbose_logger, actions, + validation_steps, + validations, ) self.llm = llm self.require_meta = require_meta @@ -112,12 +117,11 @@ def synthesize_output(self) -> str: self.belief.get_internal_history(self.llm.get_num_tokens), ) - self.belief.update_internal(EventType.result, self.name, result) - - number_validation = self.num_validation( - result=result, synthesize_action=synthesize_action - ) - return number_validation + # number_validation = self.num_validation( + # result=result, synthesize_action=synthesize_action + # ) + # return number_validation + return result def num_validation(self, result, synthesize_action) -> str: if not self.perform_number_validation and not self.require_meta: diff --git a/src/sherpa_ai/memory/belief.py b/src/sherpa_ai/memory/belief.py index d7b98574..614faea7 100644 --- a/src/sherpa_ai/memory/belief.py +++ b/src/sherpa_ai/memory/belief.py @@ -1,4 +1,4 @@ -from typing import Callable, List +from typing import Callable, List, Optional from sherpa_ai.actions.base import BaseAction from sherpa_ai.events import Event, EventType @@ -92,8 +92,13 @@ def get_internal_history( def get_histories_excluding_types( self, +<<<<<<< HEAD token_counter: Callable[[str], int], exclude_type: [EventType], +======= + exclude_type: [EventType], + token_counter: Optional[Callable[[str], int]] = None, +>>>>>>> bf5015c (Refactor th agents to modularize validation) max_tokens=4000, ): """ @@ -107,6 +112,11 @@ def get_histories_excluding_types( Returns: str: Internal history of the agent """ + if token_counter is None: + # if no token counter is provided, use the default word counter + def token_counter(x): + return len(x.split()) + results = [] feedback = [] current_tokens = 0 diff --git a/src/sherpa_ai/output_parsers/base.py b/src/sherpa_ai/output_parsers/base.py index 7661cd43..49f8ea49 100644 --- a/src/sherpa_ai/output_parsers/base.py +++ b/src/sherpa_ai/output_parsers/base.py @@ -1,6 +1,8 @@ from abc import ABC, abstractmethod from typing import Tuple +from sherpa_ai.output_parsers.validation_result import ValidationResult + class BaseOutputParser(ABC): """ @@ -18,7 +20,7 @@ class BaseOutputParser(ABC): """ @abstractmethod - def parse_output(self, text: str) -> str: + def parse_output(text: str, **kwargs) -> str: """ Abstract method to be implemented by subclasses for parsing output text. @@ -51,7 +53,7 @@ class BaseOutputProcessor(ABC): """ @abstractmethod - def process_output(self, text: str) -> Tuple[bool, str]: + def process_output(self, text: str, **kwargs) -> ValidationResult: """ Abstract method to be implemented by subclasses for processing output text. @@ -59,10 +61,10 @@ def process_output(self, text: str) -> Tuple[bool, str]: text (str): The input text to be processed. Returns: - Tuple[bool, str]: A tuple containing a boolean indicating success or failure, - and the processed output text. + ValidationResult: The result of the processing, including the validity status, + the processed text, and optional feedback. """ pass - def __call__(self, text: str) -> Tuple[bool, str]: - return self.process_output(text) + def __call__(self, text: str, **kwargs) -> ValidationResult: + return self.process_output(text, **kwargs) diff --git a/src/sherpa_ai/output_parsers/citation_validation.py b/src/sherpa_ai/output_parsers/citation_validation.py index cda79a38..8e2946eb 100644 --- a/src/sherpa_ai/output_parsers/citation_validation.py +++ b/src/sherpa_ai/output_parsers/citation_validation.py @@ -1,13 +1,14 @@ import nltk from nltk.tokenize import sent_tokenize, word_tokenize -from sherpa_ai.output_parsers.base import BaseOutputParser +from sherpa_ai.memory import Belief +from sherpa_ai.output_parsers.base import BaseOutputProcessor from sherpa_ai.output_parsers.validation_result import ValidationResult nltk.download("punkt") -class CitationValidation(BaseOutputParser): +class CitationValidation(BaseOutputProcessor): """ A class for adding citations to generated text based on a list of resources. @@ -164,16 +165,20 @@ def split_paragraph_into_sentences(self, paragraph: str) -> list[str]: sentences = sent_tokenize(paragraph) return sentences + def find_used_resources(self, belief: Belief) -> list[dict]: + resources = [] + for action in belief.actions: + if hasattr(action, "meta") and action.meta is not None: + resources.extend(action.meta[-1]) + return resources + # add citation to the generated text - def parse_output(self, generated: str, resources: list[dict]) -> ValidationResult: + def process_output(self, generated: str, belief: Belief) -> ValidationResult: """ - Add citation to each sentence in the generated text based on fact-checking methdod. - + Add citation to each sentence in the generated text from resources based on fact checking model. Args: - - generated (str): The generated content where citations/references need to be added. - - resources (list[dict]): A list of dictionaries containing reference text and links. - Each dictionary in the list should have the format {"Document": str, "Source": str}. - + generated (str): The generated content where we need to add citation/reference + agent (BaseAgent): Belief of the agents generated the content Returns: - ValidationResult: An object containing the result of citation addition and feedback. The ValidationResult has attributes 'is_valid' indicating success, 'result' containing @@ -190,9 +195,21 @@ def parse_output(self, generated: str, resources: list[dict]) -> ValidationResul ``` """ - # resources type # resources = [{"Document":, "Source":...}, {}] + resources = self.find_used_resources(belief) + + if len(resources) == 0: + # no resources used, return the original text + return ValidationResult( + is_valid=True, + result=generated, + feedback="", + ) + + return self.add_citations(generated, resources) + + def add_citations(self, generated: str, resources: list[dict]) -> ValidationResult: paragraph = generated.split("\n") paragraph = [p for p in paragraph if len(p.strip()) > 0] @@ -256,3 +273,6 @@ def parse_output(self, generated: str, resources: list[dict]) -> ValidationResul result="".join(new_paragraph), feedback="", ) + + def get_timeout_message(self) -> str: + return "Citations was not able to be added to the generated text. Please pay attention to the cited sources." diff --git a/src/sherpa_ai/output_parsers/number_validation.py b/src/sherpa_ai/output_parsers/number_validation.py index 046c3ff6..e30b1845 100644 --- a/src/sherpa_ai/output_parsers/number_validation.py +++ b/src/sherpa_ai/output_parsers/number_validation.py @@ -1,5 +1,6 @@ from typing import Tuple +from sherpa_ai.events import EventType from sherpa_ai.memory import Belief from sherpa_ai.output_parsers.base import BaseOutputProcessor from sherpa_ai.output_parsers.validation_result import ValidationResult @@ -7,7 +8,6 @@ class NumberValidation(BaseOutputProcessor): - """ Process and validate numerical information in the generated text. @@ -15,9 +15,6 @@ class NumberValidation(BaseOutputProcessor): the generated text and validate the presence of numerical information based on a specified source. - Attributes: - - source (str): The source or context against which numerical information is validated. - Methods: - process_output(text: str) -> ValidationResult: Process the generated text and validate the presence of numerical information. @@ -29,36 +26,20 @@ class NumberValidation(BaseOutputProcessor): ``` """ - - def __init__( - self, - source: str, - ): + def process_output(self, text: str, belief: Belief) -> ValidationResult: """ - Initialize the NumberValidation object. - + Process the output to check if the number exists in the source Args: - - source (str): The source or context against which numerical information is validated. - """ - self.source = source - - def process_output(self, text: str) -> ValidationResult: - """ - Process the generated text and validate the presence of numerical information. - - Args: - - text (str): The generated text to be processed. - + text: The text to be processed + belief: The belief object of the agent generated the output Returns: - - ValidationResult: An object containing the result of the numerical validation, - including the validity status, the processed text, and optional feedback. - - Example Usage: - ```python - result = number_validator.process_output("The document contains important numbers: 123, 456.") - ``` + ValidationResult: The result of the validation, it is not valid if the + number does not exist in the source while a feedback will be given """ - check_validation = check_if_number_exist(text, self.source) + source = belief.get_histories_excluding_types( + exclude_type=[EventType.feedback, EventType.result], + ) + check_validation = check_if_number_exist(text, source) if check_validation["number_exists"]: return ValidationResult( is_valid=True, @@ -71,3 +52,6 @@ def process_output(self, text: str) -> ValidationResult: result=text, feedback=check_validation["messages"], ) + + def get_timeout_message(self) -> str: + return "The numeric value results might not be fully reliable. Exercise caution and consider alternative sources if possible." diff --git a/src/tests/integration_tests/test_number_citation_validator.py b/src/tests/integration_tests/test_number_citation_validator.py index c7640d3e..938ed788 100644 --- a/src/tests/integration_tests/test_number_citation_validator.py +++ b/src/tests/integration_tests/test_number_citation_validator.py @@ -8,6 +8,7 @@ from sherpa_ai.events import EventType from sherpa_ai.memory import SharedMemory from sherpa_ai.models.sherpa_base_chat_model import SherpaChatOpenAI +from sherpa_ai.output_parsers.number_validation import NumberValidation from sherpa_ai.test_utils.llms import get_llm from sherpa_ai.tools import SearchTool from sherpa_ai.utils import extract_numbers_from_text @@ -153,6 +154,7 @@ def test_number_citation_succeeds_in_qa( objective=objective, agent_pool=None, ) + number_validation = NumberValidation() with patch.object(SearchTool, "_run", return_value=data): task_agent = QAAgent( llm=llm, @@ -160,6 +162,8 @@ def test_number_citation_succeeds_in_qa( require_meta=False, num_runs=1, perform_number_validation=True, + validations=[number_validation], + validation_steps=3 ) shared_memory.add( diff --git a/src/tests/unit_tests/output_parsers/test_citation_validation.py b/src/tests/unit_tests/output_parsers/test_citation_validation.py index 4f728464..2968f662 100644 --- a/src/tests/unit_tests/output_parsers/test_citation_validation.py +++ b/src/tests/unit_tests/output_parsers/test_citation_validation.py @@ -18,7 +18,7 @@ def test_citation_validation(): data_2 = {"Document": text, "Source": "www.wiki_2.com"} resource = [data, data_2] module = CitationValidation() - result = module.parse_output(text, resource) + result = module.add_citations(text, resource) assert data["Source"] in result.result @@ -30,7 +30,14 @@ def test_task_agent_succeeds(get_llm): # noqa: F811 agent_pool=None, ) - task_agent = QAAgent(llm=llm, shared_memory=shared_memory, require_meta=True) + citation_module = CitationValidation(0.65, 0.65, 0.65) + + task_agent = QAAgent( + llm=llm, + shared_memory=shared_memory, + require_meta=True, + validations=[citation_module], + ) shared_memory.add( EventType.task, From b5d5edf86f2852a20c8fe313dcb49cbb5a787ece Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Thu, 8 Feb 2024 16:54:46 -0500 Subject: [PATCH 07/18] Add test for configuring validations --- .../slackapp/tests/data/test_get_agent.yaml | 10 ++- src/apps/slackapp/tests/test_get_agent.py | 3 + src/sherpa_ai/agents/qa_agent.py | 82 ------------------- 3 files changed, 12 insertions(+), 83 deletions(-) diff --git a/src/apps/slackapp/tests/data/test_get_agent.yaml b/src/apps/slackapp/tests/data/test_get_agent.yaml index 3be8287a..8e88c781 100644 --- a/src/apps/slackapp/tests/data/test_get_agent.yaml +++ b/src/apps/slackapp/tests/data/test_get_agent.yaml @@ -15,6 +15,12 @@ llm: agent_config: _target_: sherpa_ai.config.task_config.AgentConfig +citation_validatoin: + _target_: sherpa_ai.output_parsers.citation_validation.CitationValidation + seq_thresh: 0.8 + jaccard_thresh: 0.7 + token_overlap: 0.6 + arxiv_search: _target_: sherpa_ai.actions.arxiv_search.ArxivSearch role_description: Act as a question answering agent @@ -44,4 +50,6 @@ qa_agent: - 0.7 actions: - ${arxiv_search} - - ${google_search} \ No newline at end of file + - ${google_search} + validations: + - ${citation_validatoin} \ No newline at end of file diff --git a/src/apps/slackapp/tests/test_get_agent.py b/src/apps/slackapp/tests/test_get_agent.py index 29cfea29..b90712f9 100644 --- a/src/apps/slackapp/tests/test_get_agent.py +++ b/src/apps/slackapp/tests/test_get_agent.py @@ -2,6 +2,7 @@ from sherpa_ai.actions import ArxivSearch, GoogleSearch from sherpa_ai.agents.qa_agent import QAAgent +from sherpa_ai.output_parsers.citation_validation import CitationValidation from sherpa_ai.test_utils.data import get_file_path @@ -15,3 +16,5 @@ def test_get_agent(get_file_path): # noqa: F811 assert len(agent.actions) == 2 assert type(agent.actions[0]) is ArxivSearch assert type(agent.actions[1]) is GoogleSearch + assert len(agent.validations) == 1 + assert type(agent.validations[0]) is CitationValidation diff --git a/src/sherpa_ai/agents/qa_agent.py b/src/sherpa_ai/agents/qa_agent.py index 37c3abc0..c077e8ec 100644 --- a/src/sherpa_ai/agents/qa_agent.py +++ b/src/sherpa_ai/agents/qa_agent.py @@ -44,7 +44,6 @@ def __init__( verbose_logger=DummyVerboseLogger(), require_meta=False, perform_number_validation=False, - validation_count: int = 3, citation_thresh=[ 0.65, 0.65, @@ -89,7 +88,6 @@ def __init__( self.require_meta = require_meta self.citation_thresh = citation_thresh self.config = agent_config - self.validation_count = validation_count self.perform_number_validation = perform_number_validation if belief is None: @@ -116,84 +114,4 @@ def synthesize_output(self) -> str: self.belief.get_context(self.llm.get_num_tokens), self.belief.get_internal_history(self.llm.get_num_tokens), ) - - # number_validation = self.num_validation( - # result=result, synthesize_action=synthesize_action - # ) - # return number_validation - return result - - def num_validation(self, result, synthesize_action) -> str: - if not self.perform_number_validation and not self.require_meta: - return result - - count = 0 - while count < self.validation_count: - validation_result = self.process_output(result) - - if validation_result.is_valid or count == self.validation_count: - result = validation_result.result - break - else: - count += 1 - self.belief.update_internal( - EventType.feedback, "critic", validation_result.feedback - ) - - result = synthesize_action.execute( - self.belief.current_task.content, - self.belief.get_context(self.llm.get_num_tokens), - self.belief.get_histories_excluding_types( - token_counter=self.llm.get_num_tokens, - exclude_type=[EventType.result], - ), - ) - - # update intermidiate belief for round - self.belief.update_internal(EventType.result, self.name, result) - if count == self.validation_count: - result = ( - result - + "The numeric value results might not be fully reliable. Exercise caution and consider alternative sources if possible." - ) - - self.belief.update_internal(EventType.result, self.name, result) - return result - - def process_output(self, generated: str) -> ValidationResult: - if self.perform_number_validation: - internal_history = self.belief.get_histories_excluding_types( - token_counter=self.llm.get_num_tokens, - exclude_type=[EventType.feedback, EventType.result], - ) - num_val = NumberValidation(internal_history) - result = num_val.process_output(generated) - - if self.require_meta: - result = self.add_citation(generated) - return result - - def add_citation(self, text) -> ValidationResult: - google = None - for action in self.belief.actions: - if isinstance(action, GoogleSearch): - google = action - - citation_module = CitationValidation( - self.citation_thresh[0], self.citation_thresh[1], self.citation_thresh[2] - ) - - result = ValidationResult( - is_valid=True, - result=text, - feedback="", - ) - # only do citation validation if search was used - if google is None or len(google.meta) == 0: - return text - - resource = google.meta[-1] - - result = citation_module.parse_output(text, resource) - return result From fd4867888d9ad2682f68498b41f6d5d3f0244ece Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Thu, 8 Feb 2024 23:13:04 -0500 Subject: [PATCH 08/18] Automatically deciding if search metadata is needed --- src/conf/config.yaml | 32 ++++++++++++++++++++++---------- src/sherpa_ai/agents/qa_agent.py | 13 +++++++------ 2 files changed, 29 insertions(+), 16 deletions(-) diff --git a/src/conf/config.yaml b/src/conf/config.yaml index f5334a83..213d063a 100644 --- a/src/conf/config.yaml +++ b/src/conf/config.yaml @@ -8,20 +8,21 @@ team_id: none llm: _target_: sherpa_ai.models.sherpa_base_chat_model.SherpaChatOpenAI model_name: gpt-3.5-turbo - temperature: 0.7 + temperature: 0 user_id: ${user_id} team_id: ${team_id} agent_config: _target_: sherpa_ai.config.task_config.AgentConfig -search: - _target_: sherpa_ai.actions.GoogleSearch - role_description: Act as a question answering agent - task: Question answering - llm: ${llm} - require_meta: true - config: ${agent_config} +citation_validatoin: + _target_: sherpa_ai.output_parsers.citation_validation.CitationValidation + seq_thresh: 0.5 + jaccard_thresh: 0.5 + token_overlap: 0.5 + +number_validation: + _target_: sherpa_ai.output_parsers.number_validation.NumberValidation arxiv_search: _target_: sherpa_ai.actions.arxiv_search.ArxivSearch @@ -30,6 +31,14 @@ arxiv_search: llm: ${llm} n: 3 +google_search: + _target_: sherpa_ai.actions.GoogleSearch + role_description: Act as a question answering agent + task: Question answering + llm: ${llm} + require_meta: true + config: ${agent_config} + qa_agent: _target_: sherpa_ai.agents.qa_agent.QAAgent llm: ${llm} @@ -38,10 +47,13 @@ qa_agent: description: Act as a question answering agent agent_config: ${agent_config} num_runs: 1 - require_meta: true + validation_steps: 1 citation_thresh: - 0.5 - 0.5 - 0.7 actions: - - ${search} \ No newline at end of file + - ${google_search} + validations: + - ${citation_validatoin} + - ${number_validation} diff --git a/src/sherpa_ai/agents/qa_agent.py b/src/sherpa_ai/agents/qa_agent.py index c077e8ec..28f2bed9 100644 --- a/src/sherpa_ai/agents/qa_agent.py +++ b/src/sherpa_ai/agents/qa_agent.py @@ -42,8 +42,6 @@ def __init__( agent_config: AgentConfig = AgentConfig(), num_runs: int = 3, verbose_logger=DummyVerboseLogger(), - require_meta=False, - perform_number_validation=False, citation_thresh=[ 0.65, 0.65, @@ -85,14 +83,17 @@ def __init__( validations, ) self.llm = llm - self.require_meta = require_meta self.citation_thresh = citation_thresh self.config = agent_config - self.perform_number_validation = perform_number_validation if belief is None: belief = Belief() self.belief = belief + self.citation_enabled = False + for validation in self.validations: + if isinstance(validation, CitationValidation): + self.citation_enabled = True + break def create_actions(self) -> List[BaseAction]: return [ @@ -101,13 +102,13 @@ def create_actions(self) -> List[BaseAction]: self.belief.current_task, self.llm, config=self.config, - require_meta=self.require_meta, + require_meta=self.citation_enabled, ), ] def synthesize_output(self) -> str: synthesize_action = SynthesizeOutput( - self.description, self.llm, add_citation=self.require_meta + self.description, self.llm, add_citation=self.citation_enabled ) result = synthesize_action.execute( self.belief.current_task.content, From baafc969aa7a5cea906615882f0fb3a753ac5d95 Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Wed, 14 Feb 2024 20:32:06 -0500 Subject: [PATCH 09/18] Add hydra to dependency --- src/apps/slackapp/poetry.lock | 1603 +++++++++++++++--------------- src/apps/slackapp/pyproject.toml | 1 + src/poetry.lock | 1577 +++++++++++++++-------------- src/pyproject.toml | 2 +- 4 files changed, 1639 insertions(+), 1544 deletions(-) diff --git a/src/apps/slackapp/poetry.lock 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"jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "8289deb905e702ce44b21344733821a64f139aa4ce2d938e2ec250fe19d69383" +content-hash = "b3e300bdffa3a850605aeefd7e7f91f74cb70bb4b442748eed2bcf98f54f5498" diff --git a/src/pyproject.toml b/src/pyproject.toml index 4d088766..caa6818f 100644 --- a/src/pyproject.toml +++ b/src/pyproject.toml @@ -23,7 +23,7 @@ pypdf = "^3.17.0" transformers = "^4.35.2" pydantic = "^2.5.3" pal = { git = "https://github.com/luyug/pal" } - +hydra-core = "^1.3.2" From 2bd673353f630cadba16e2ca8450d6107555a90f Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Wed, 14 Feb 2024 20:42:23 -0500 Subject: [PATCH 10/18] fix failed tests --- src/conf/config.yaml | 2 +- src/tests/integration_tests/test_number_citation_validator.py | 2 -- src/tests/unit_tests/output_parsers/test_citation_validation.py | 1 - 3 files changed, 1 insertion(+), 4 deletions(-) diff --git a/src/conf/config.yaml b/src/conf/config.yaml index 213d063a..f6e3f273 100644 --- a/src/conf/config.yaml +++ b/src/conf/config.yaml @@ -55,5 +55,5 @@ qa_agent: actions: - ${google_search} validations: - - ${citation_validatoin} - ${number_validation} + - ${citation_validatoin} diff --git a/src/tests/integration_tests/test_number_citation_validator.py b/src/tests/integration_tests/test_number_citation_validator.py index 938ed788..527e7696 100644 --- a/src/tests/integration_tests/test_number_citation_validator.py +++ b/src/tests/integration_tests/test_number_citation_validator.py @@ -159,9 +159,7 @@ def test_number_citation_succeeds_in_qa( task_agent = QAAgent( llm=llm, shared_memory=shared_memory, - require_meta=False, num_runs=1, - perform_number_validation=True, validations=[number_validation], validation_steps=3 ) diff --git a/src/tests/unit_tests/output_parsers/test_citation_validation.py b/src/tests/unit_tests/output_parsers/test_citation_validation.py index 2968f662..13e0d802 100644 --- a/src/tests/unit_tests/output_parsers/test_citation_validation.py +++ b/src/tests/unit_tests/output_parsers/test_citation_validation.py @@ -35,7 +35,6 @@ def test_task_agent_succeeds(get_llm): # noqa: F811 task_agent = QAAgent( llm=llm, shared_memory=shared_memory, - require_meta=True, validations=[citation_module], ) From 1d09bb605c3cf7d510331b656a2c0ca35670e59f Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Wed, 14 Feb 2024 21:05:13 -0500 Subject: [PATCH 11/18] Improve naming of variable and documentation --- src/apps/slackapp/slackapp/bolt_app.py | 6 ++-- src/apps/slackapp/slackapp/utils.py | 2 +- .../slackapp/tests/data/test_get_agent.yaml | 16 ++++----- src/apps/slackapp/tests/test_get_agent.py | 10 +++--- src/apps/slackapp/tests/test_get_response.py | 1 - src/conf/config.yaml | 16 ++++----- src/sherpa_ai/actions/arxiv_search.py | 6 ++-- src/sherpa_ai/actions/google_search.py | 8 ++--- src/sherpa_ai/agents/base.py | 12 ++++--- src/sherpa_ai/agents/qa_agent.py | 34 +++++++------------ src/sherpa_ai/config/__init__.py | 2 +- src/sherpa_ai/memory/belief.py | 14 ++++++-- .../output_parsers/citation_validation.py | 16 ++++----- .../output_parsers/number_validation.py | 2 +- src/sherpa_ai/scrape/extract_github_readme.py | 1 - src/sherpa_ai/test_utils/data.py | 2 +- src/sherpa_ai/utils.py | 4 +-- 17 files changed, 72 insertions(+), 80 deletions(-) diff --git a/src/apps/slackapp/slackapp/bolt_app.py b/src/apps/slackapp/slackapp/bolt_app.py index c352a522..d7774a6f 100644 --- a/src/apps/slackapp/slackapp/bolt_app.py +++ b/src/apps/slackapp/slackapp/bolt_app.py @@ -13,7 +13,7 @@ from slack_bolt import App from slack_bolt.adapter.flask import SlackRequestHandler from slackapp.routes.whitelist import whitelist_blueprint -from slackapp.utils import get_agent +from slackapp.utils import get_qa_agent_from_config_file import sherpa_ai.config as cfg from sherpa_ai.agents import QAAgent @@ -130,7 +130,7 @@ def get_response( openai_api_key=cfg.OPENAI_API_KEY, user_id=user_id, team_id=team_id, - temperature=cfg.TEMPRATURE, + temperature=cfg.TEMPERATURE, ) verbose_logger.log("⚠️🤖 Use task agent (obsolete)...") @@ -148,7 +148,7 @@ def get_response( response = error_handler.run_with_error_handling(task_agent.run, task=question) else: - agent = get_agent("conf/config.yaml", team_id, user_id, llm) + agent = get_qa_agent_from_config_file("conf/config.yaml", team_id, user_id, llm) for message in previous_messages: agent.shared_memory.add(EventType.result, message.type, message.content) agent.shared_memory.add(EventType.task, "human", question) diff --git a/src/apps/slackapp/slackapp/utils.py b/src/apps/slackapp/slackapp/utils.py index 4d3b645b..9f6b721b 100644 --- a/src/apps/slackapp/slackapp/utils.py +++ b/src/apps/slackapp/slackapp/utils.py @@ -7,7 +7,7 @@ from sherpa_ai.config.task_config import AgentConfig -def get_agent(config_path, user_id=None, team_id=None, llm=None) -> QAAgent: +def get_qa_agent_from_config_file(config_path, user_id=None, team_id=None, llm=None) -> QAAgent: config = OmegaConf.load(config_path) agent_config: AgentConfig = instantiate(config.agent_config) diff --git a/src/apps/slackapp/tests/data/test_get_agent.yaml b/src/apps/slackapp/tests/data/test_get_agent.yaml index 8e88c781..5acaf502 100644 --- a/src/apps/slackapp/tests/data/test_get_agent.yaml +++ b/src/apps/slackapp/tests/data/test_get_agent.yaml @@ -15,10 +15,10 @@ llm: agent_config: _target_: sherpa_ai.config.task_config.AgentConfig -citation_validatoin: +citation_validation: _target_: sherpa_ai.output_parsers.citation_validation.CitationValidation - seq_thresh: 0.8 - jaccard_thresh: 0.7 + sequence_threshold: 0.8 + jaccard_threshold: 0.7 token_overlap: 0.6 arxiv_search: @@ -26,14 +26,14 @@ arxiv_search: role_description: Act as a question answering agent task: Question answering llm: ${llm} - n: 3 + max_results: 3 google_search: _target_: sherpa_ai.actions.GoogleSearch role_description: Act as a question answering agent task: Question answering llm: ${llm} - require_meta: true + include_metadata: true config: ${agent_config} qa_agent: @@ -44,12 +44,8 @@ qa_agent: description: Act as a question answering agent agent_config: ${agent_config} num_runs: 1 - citation_thresh: - - 0.5 - - 0.5 - - 0.7 actions: - ${arxiv_search} - ${google_search} validations: - - ${citation_validatoin} \ No newline at end of file + - ${citation_validation} \ No newline at end of file diff --git a/src/apps/slackapp/tests/test_get_agent.py b/src/apps/slackapp/tests/test_get_agent.py index b90712f9..685e0651 100644 --- a/src/apps/slackapp/tests/test_get_agent.py +++ b/src/apps/slackapp/tests/test_get_agent.py @@ -1,14 +1,14 @@ -from slackapp.utils import get_agent +from slackapp.utils import get_qa_agent_from_config_file from sherpa_ai.actions import ArxivSearch, GoogleSearch from sherpa_ai.agents.qa_agent import QAAgent from sherpa_ai.output_parsers.citation_validation import CitationValidation -from sherpa_ai.test_utils.data import get_file_path +from sherpa_ai.test_utils.data import get_test_data_file_path -def test_get_agent(get_file_path): # noqa: F811 - config_filename = get_file_path(__file__, "test_get_agent.yaml") - agent = get_agent(config_filename) +def test_get_agent(get_test_data_file_path): # noqa: F811 + config_filename = get_test_data_file_path(__file__, "test_get_agent.yaml") + agent = get_qa_agent_from_config_file(config_filename) assert agent is not None assert type(agent) is QAAgent diff --git a/src/apps/slackapp/tests/test_get_response.py b/src/apps/slackapp/tests/test_get_response.py index 5771b601..a57c39ee 100644 --- a/src/apps/slackapp/tests/test_get_response.py +++ b/src/apps/slackapp/tests/test_get_response.py @@ -4,7 +4,6 @@ import pytest from langchain.llms.fake import FakeListLLM from loguru import logger -from omegaconf import OmegaConf from slackapp.bolt_app import get_response import sherpa_ai.config as cfg diff --git a/src/conf/config.yaml b/src/conf/config.yaml index f6e3f273..ff47837a 100644 --- a/src/conf/config.yaml +++ b/src/conf/config.yaml @@ -15,10 +15,10 @@ llm: agent_config: _target_: sherpa_ai.config.task_config.AgentConfig -citation_validatoin: +citation_validation: _target_: sherpa_ai.output_parsers.citation_validation.CitationValidation - seq_thresh: 0.5 - jaccard_thresh: 0.5 + sequence_threshold: 0.5 + jaccard_threshold: 0.5 token_overlap: 0.5 number_validation: @@ -29,14 +29,14 @@ arxiv_search: role_description: Act as a question answering agent task: Question answering llm: ${llm} - n: 3 + max_results: 3 google_search: _target_: sherpa_ai.actions.GoogleSearch role_description: Act as a question answering agent task: Question answering llm: ${llm} - require_meta: true + include_metadata: true config: ${agent_config} qa_agent: @@ -48,12 +48,8 @@ qa_agent: agent_config: ${agent_config} num_runs: 1 validation_steps: 1 - citation_thresh: - - 0.5 - - 0.5 - - 0.7 actions: - ${google_search} validations: - ${number_validation} - - ${citation_validatoin} + - ${citation_validation} diff --git a/src/sherpa_ai/actions/arxiv_search.py b/src/sherpa_ai/actions/arxiv_search.py index 455f8a18..65c33034 100644 --- a/src/sherpa_ai/actions/arxiv_search.py +++ b/src/sherpa_ai/actions/arxiv_search.py @@ -22,14 +22,14 @@ def __init__( task: str, llm: BaseLanguageModel, description: str = SEARCH_SUMMARY_DESCRIPTION, - n: int = 5, + max_results: int = 5, ): self.role_description = role_description self.task = task self.description = description self.llm = llm - self.n = n + self.max_results = max_results self.search_tool = SearchArxivTool() @@ -39,7 +39,7 @@ def execute(self, query) -> str: prompt = self.description.format( task=self.task, paper_title_summary=result, - n=self.n, + n=self.max_results, role_description=self.role_description, ) diff --git a/src/sherpa_ai/actions/google_search.py b/src/sherpa_ai/actions/google_search.py index b17ad6da..c17d2213 100644 --- a/src/sherpa_ai/actions/google_search.py +++ b/src/sherpa_ai/actions/google_search.py @@ -38,7 +38,7 @@ def __init__( description: str = SEARCH_SUMMARY_DESCRIPTION, config: AgentConfig = AgentConfig(), n: int = 5, - require_meta=False, + include_metadata=False, ): self.role_description = role_description self.task = task @@ -49,11 +49,11 @@ def __init__( self.search_tool = SearchTool(config=config) self.meta = [] - self.require_meta = require_meta + self.include_metadata = include_metadata def execute(self, query) -> str: - if self.require_meta: - result, meta = self.search_tool._run(query, self.require_meta) + if self.include_metadata: + result, meta = self.search_tool._run(query, self.include_metadata) self.meta.append(meta) else: result = self.search_tool._run(query) diff --git a/src/sherpa_ai/agents/base.py b/src/sherpa_ai/agents/base.py index 2b192c78..7dabacde 100644 --- a/src/sherpa_ai/agents/base.py +++ b/src/sherpa_ai/agents/base.py @@ -30,6 +30,7 @@ def __init__( actions: List[BaseAction] = [], validation_steps: int = 1, validations: List[BaseOutputProcessor] = [], + feedback_agent_name: str = "critic", ): self.name = name self.description = description @@ -44,6 +45,7 @@ def __init__( self.actions = actions self.validation_steps = validation_steps self.validations = validations + self.feedback_agent_name = feedback_agent_name @abstractmethod def create_actions(self) -> List[BaseAction]: @@ -95,14 +97,14 @@ def run(self): EventType.action_output, self.name, action_output ) - result = self.validation_and_output() + result = self.validate_output() logger.debug(f"```🤖{self.name} wrote: {result}```") self.shared_memory.add(EventType.result, self.name, result) return result - def validation_and_output(self): + def validate_output(self): last_failed_validation = None for _ in range(self.validation_steps): @@ -115,7 +117,7 @@ def validation_and_output(self): if not validation_result.is_valid: is_valid = False self.belief.update_internal( - EventType.feedback, "critic", validation_result.feedback + EventType.feedback, self.feedback_agent_name, validation_result.feedback ) last_failed_validation = validation break @@ -124,8 +126,8 @@ def validation_and_output(self): return result if last_failed_validation is not None: - # if the validation failed after all steps, apped the result with the timeout message - result = result + "\n" + last_failed_validation.get_timeout_message() + # if the validation failed after all steps, append the error messages to the result + result = result + "\n" + last_failed_validation.get_failure_message() self.belief.update_internal(EventType.result, self.name, result) return result diff --git a/src/sherpa_ai/agents/qa_agent.py b/src/sherpa_ai/agents/qa_agent.py index 28f2bed9..908e7164 100644 --- a/src/sherpa_ai/agents/qa_agent.py +++ b/src/sherpa_ai/agents/qa_agent.py @@ -15,6 +15,7 @@ from sherpa_ai.output_parsers.citation_validation import CitationValidation from sherpa_ai.output_parsers.number_validation import NumberValidation from sherpa_ai.output_parsers.validation_result import ValidationResult +from sherpa_ai.verbose_loggers.base import BaseVerboseLogger from sherpa_ai.verbose_loggers.verbose_loggers import DummyVerboseLogger # TODO: QA Agent only contains partial implementation from the original @@ -41,34 +42,26 @@ def __init__( belief: Optional[Belief] = None, agent_config: AgentConfig = AgentConfig(), num_runs: int = 3, - verbose_logger=DummyVerboseLogger(), - citation_thresh=[ - 0.65, - 0.65, - 0.65, - ], # threshold for citations seq_thresh, jaccard_thresh, token_overlap, + verbose_logger: BaseVerboseLogger = DummyVerboseLogger(), actions: List[BaseAction] = [], validation_steps: int = 1, validations: List[BaseOutputProcessor] = [], ): """ - The QA agent is the agent handles a single task. + The QA agent handles a single question-answering task. Args: llm (BaseLanguageModel): The language model used to generate text name (str, optional): The name of the agent. Defaults to "QA Agent". - description (str, optional): The description of the agent. Defaults - to TASK_AGENT_DESRIPTION. - shared_memory (SharedMemory, optional): The shared memory used to - store the context shared with all other agents. Defaults to None. - belief (Belief, optional): The belief of the agent. Defaults to Belief(). - num_runs (int, optional): The number of runs the agent will run. Defaults - to 3. - verbose_logger (BaseVerboseLogger, optional): The verbose logger used to - log the agent's internal state. Defaults to DummyVerboseLogger(). - require_meta (bool, optional): Whether the agent requires meta information - during Google search. True means the search will use metadata and - citation validation will be performed. + description (str, optional): The description of the agent. Defaults to TASK_AGENT_DESRIPTION. + shared_memory (SharedMemory, optional): The shared memory used to store information and shared with other agents. Defaults to None. + belief (Optional[Belief], optional): The belief of the agent. Defaults to None. + agent_config (AgentConfig, optional): The agent configuration. Defaults to AgentConfig. + num_runs (int, optional): The number of runs the agent will perform. Defaults to 3. + verbose_logger (BaseVerboseLogger, optional): The verbose logger used to log information. Defaults to DummyVerboseLogger(). + actions (List[BaseAction], optional): The list of actions the agent can perform. Defaults to []. + validation_steps (int, optional): The number of validation steps the agent will perform. Defaults to 1. + validations (List[BaseOutputProcessor], optional): The list of validations the agent will perform. Defaults to []. """ super().__init__( name, @@ -83,7 +76,6 @@ def __init__( validations, ) self.llm = llm - self.citation_thresh = citation_thresh self.config = agent_config if belief is None: @@ -102,7 +94,7 @@ def create_actions(self) -> List[BaseAction]: self.belief.current_task, self.llm, config=self.config, - require_meta=self.citation_enabled, + include_metadata=self.citation_enabled, ), ] diff --git a/src/sherpa_ai/config/__init__.py b/src/sherpa_ai/config/__init__.py index 5dfa93bb..452011ca 100644 --- a/src/sherpa_ai/config/__init__.py +++ b/src/sherpa_ai/config/__init__.py @@ -32,7 +32,7 @@ SLACK_VERIFICATION_TOKEN = environ.get("SLACK_VERIFICATION_TOKEN") SLACK_PORT = environ.get("SLACK_PORT", 3000) OPENAI_API_KEY = environ.get("OPENAI_API_KEY") -TEMPRATURE = environ.get("TEMPRATURE") or 0 +TEMPERATURE = environ.get("TEMPERATURE") or 0 # Pinecone settings PINECONE_API_KEY = environ.get("PINECONE_API_KEY") diff --git a/src/sherpa_ai/memory/belief.py b/src/sherpa_ai/memory/belief.py index 614faea7..fd27a24f 100644 --- a/src/sherpa_ai/memory/belief.py +++ b/src/sherpa_ai/memory/belief.py @@ -5,9 +5,13 @@ class Belief: + """ + The belief of the agent. it contains + 1. events: the events oberseved by the agent, syncronized with the shared memory + 2. internal_events: the internal events generated by the agent through the reasoning process (actions) + """ + def __init__(self): - # TODO: Handle long belief history, if it's longer than the context size - # maybe use summarization or a vector db self.events: List[Event] = [] self.internal_events: List[Event] = [] @@ -92,17 +96,21 @@ def get_internal_history( def get_histories_excluding_types( self, +<<<<<<< HEAD <<<<<<< HEAD token_counter: Callable[[str], int], exclude_type: [EventType], ======= exclude_type: [EventType], +======= + exclude_type: list[EventType], +>>>>>>> dc19ee0 (Improve naming of variable and documentation) token_counter: Optional[Callable[[str], int]] = None, >>>>>>> bf5015c (Refactor th agents to modularize validation) max_tokens=4000, ): """ - Get the internal history of the agent with out events in the excluded_type + Get the internal history of the agent without events of excluded_type Args: token_counter: Token counter diff --git a/src/sherpa_ai/output_parsers/citation_validation.py b/src/sherpa_ai/output_parsers/citation_validation.py index 8e2946eb..6727b465 100644 --- a/src/sherpa_ai/output_parsers/citation_validation.py +++ b/src/sherpa_ai/output_parsers/citation_validation.py @@ -35,8 +35,7 @@ class CitationValidation(BaseOutputProcessor): result = citation_parser.parse_output(generated_text, list_of_resources) ``` """ - - def __init__(self, seq_thresh=0.7, jaccard_thresh=0.7, token_overlap=0.7): + def __init__(self, sequence_threshold=0.7, jaccard_threshold=0.7, token_overlap=0.7): """ Initialize the CitationValidation object. @@ -45,8 +44,9 @@ def __init__(self, seq_thresh=0.7, jaccard_thresh=0.7, token_overlap=0.7): - jaccard_thresh (float): Jaccard similarity threshold. Default is 0.7. - token_overlap (float): Token overlap threshold. Default is 0.7. """ - self.seq_thresh = seq_thresh # threshold for common longest subsequece / text - self.jaccard_thresh = jaccard_thresh + # threshold + self.sequence_threshold = sequence_threshold # threshold for common longest subsequece / text + self.jaccard_threshold = jaccard_threshold self.token_overlap = token_overlap def calculate_token_overlap(self, sentence1, sentence2) -> tuple: @@ -248,9 +248,9 @@ def add_citations(self, generated: str, resources: list[dict]) -> ValidationResu # print(jaccard) if ( - (seq / len(sentence)) > self.seq_thresh + (seq / len(sentence)) > self.sequence_threshold or contained - or jaccard > self.jaccard_thresh + or jaccard > self.jaccard_threshold ): links.append(link) ids.append(index + 1) @@ -274,5 +274,5 @@ def add_citations(self, generated: str, resources: list[dict]) -> ValidationResu feedback="", ) - def get_timeout_message(self) -> str: - return "Citations was not able to be added to the generated text. Please pay attention to the cited sources." + def get_failure_message(self) -> str: + return "Unable to add citations to the generated text. Please pay attention to the cited sources." diff --git a/src/sherpa_ai/output_parsers/number_validation.py b/src/sherpa_ai/output_parsers/number_validation.py index e30b1845..eb0182cd 100644 --- a/src/sherpa_ai/output_parsers/number_validation.py +++ b/src/sherpa_ai/output_parsers/number_validation.py @@ -53,5 +53,5 @@ def process_output(self, text: str, belief: Belief) -> ValidationResult: feedback=check_validation["messages"], ) - def get_timeout_message(self) -> str: + def get_failure_message(self) -> str: return "The numeric value results might not be fully reliable. Exercise caution and consider alternative sources if possible." diff --git a/src/sherpa_ai/scrape/extract_github_readme.py b/src/sherpa_ai/scrape/extract_github_readme.py index ceb05ae2..db5d491e 100644 --- a/src/sherpa_ai/scrape/extract_github_readme.py +++ b/src/sherpa_ai/scrape/extract_github_readme.py @@ -32,7 +32,6 @@ def extract_github_readme(repo_url): response = requests.get(github_api_url, headers=headers) files = response.json() - logger.error(f"THis is files: {files}") if type(files) is dict and files["message"].lower() == 'bad credentials': return None matching_files = [ diff --git a/src/sherpa_ai/test_utils/data.py b/src/sherpa_ai/test_utils/data.py index 14a9e5ca..ddcfbd68 100644 --- a/src/sherpa_ai/test_utils/data.py +++ b/src/sherpa_ai/test_utils/data.py @@ -4,7 +4,7 @@ @pytest.fixture -def get_file_path(): +def get_test_data_file_path(): def get(test_filename: str, file_to_load: str, folder: str = "data") -> str: path = re.split("(\\\\|/)tests", test_filename)[0] folder = f"{path}/tests/{folder}" diff --git a/src/sherpa_ai/utils.py b/src/sherpa_ai/utils.py index 49ac07ce..1cff843c 100644 --- a/src/sherpa_ai/utils.py +++ b/src/sherpa_ai/utils.py @@ -120,7 +120,7 @@ def chunk_and_summarize( user_id: str = None, ): llm = SherpaOpenAI( - temperature=cfg.TEMPRATURE, + temperature=cfg.TEMPERATURE, openai_api_key=cfg.OPENAI_API_KEY, user_id=user_id, team_id=team_id, @@ -159,7 +159,7 @@ def chunk_and_summarize_file( user_id: str = None, ): llm = SherpaOpenAI( - temperature=cfg.TEMPRATURE, + temperature=cfg.TEMPERATURE, openai_api_key=cfg.OPENAI_API_KEY, user_id=user_id, team_id=team_id, From 74e742fb859f55a44395c9631587af8c128db7ee Mon Sep 17 00:00:00 2001 From: Oshoma Momoh Date: Wed, 14 Feb 2024 14:00:25 -0500 Subject: [PATCH 12/18] Refactor number verification Improve naming. Handle empty and None string parameters. Use sets instead of lists to make code easier to understand. Make tests comprehensive. --- .../output_parsers/number_validation.py | 18 +-- src/sherpa_ai/utils.py | 43 +++--- src/tests/unit_tests/test_util.py | 133 +++++++++++++----- 3 files changed, 124 insertions(+), 70 deletions(-) diff --git a/src/sherpa_ai/output_parsers/number_validation.py b/src/sherpa_ai/output_parsers/number_validation.py index eb0182cd..26fccbae 100644 --- a/src/sherpa_ai/output_parsers/number_validation.py +++ b/src/sherpa_ai/output_parsers/number_validation.py @@ -4,7 +4,7 @@ from sherpa_ai.memory import Belief from sherpa_ai.output_parsers.base import BaseOutputProcessor from sherpa_ai.output_parsers.validation_result import ValidationResult -from sherpa_ai.utils import check_if_number_exist +from sherpa_ai.utils import verify_numbers_against_source class NumberValidation(BaseOutputProcessor): @@ -28,19 +28,21 @@ class NumberValidation(BaseOutputProcessor): """ def process_output(self, text: str, belief: Belief) -> ValidationResult: """ - Process the output to check if the number exists in the source + Verifies that all numbers within `text` exist in the `belief` source text. Args: text: The text to be processed - belief: The belief object of the agent generated the output + belief: The belief object of the agent that generated the output Returns: - ValidationResult: The result of the validation, it is not valid if the - number does not exist in the source while a feedback will be given + ValidationResult: The result of the validation. If any number in the + text to be processed doesn't exist in the source text, + validation is invalid and contains a feedback string. + Otherwise validation is valid. """ source = belief.get_histories_excluding_types( exclude_type=[EventType.feedback, EventType.result], ) - check_validation = check_if_number_exist(text, source) - if check_validation["number_exists"]: + numbers_exist_in_source, error_message = verify_numbers_against_source(text, source) + if numbers_exist_in_source: return ValidationResult( is_valid=True, result=text, @@ -50,7 +52,7 @@ def process_output(self, text: str, belief: Belief) -> ValidationResult: return ValidationResult( is_valid=False, result=text, - feedback=check_validation["messages"], + feedback=error_message, ) def get_failure_message(self) -> str: diff --git a/src/sherpa_ai/utils.py b/src/sherpa_ai/utils.py index 1cff843c..b3c55694 100644 --- a/src/sherpa_ai/utils.py +++ b/src/sherpa_ai/utils.py @@ -302,26 +302,23 @@ def check_url(url): def extract_numbers_from_text(text): - # remove , and number mentioned inside [] - text = re.sub(",", "", text) - - pattern = r"\d+\.\d+|\d+" - matches = re.findall(pattern, text) - return matches - - -def check_if_number_exist(result: str, source: str): - check_numbers = extract_numbers_from_text(result) - source_numbers = extract_numbers_from_text(source) - error_numbers = [] - message = "" - for data in check_numbers: - if data not in source_numbers: - error_numbers.append(data) - error_numbers = set(error_numbers) - if len(error_numbers) > 0: - for numbers in error_numbers: - message += numbers + ", " - message = f"Don't use the numbers {message} to answer the question instead stick to the numbers mentioned in the context." - return {"number_exists": False, "messages": message} - return {"number_exists": True, "messages": message} + """Returns a list, possibly empty, of the strings of digits within text""" + if text is not None: + text_without_commas = re.sub(",", "", text) + pattern = r"\d+\.\d+|\d+" + matches = re.findall(pattern, text_without_commas) + return matches + else: + return [] + + +def verify_numbers_against_source(text_to_test: str, source_text: str): + """Verifies that all numbers in text_to_test exist in source_text. Returns True on success. Returns False and a feedback string on failure.""" + candidate_numbers = set(extract_numbers_from_text(text_to_test)) + source_numbers = set(extract_numbers_from_text(source_text)) + incorrect_candidates = candidate_numbers - source_numbers + if len(incorrect_candidates) > 0: + joined_numbers = ", ".join(incorrect_candidates) + message = f"Don't use the numbers {joined_numbers} to answer the question. Instead, stick to the numbers mentioned in the context." + return False, message + return True, None diff --git a/src/tests/unit_tests/test_util.py b/src/tests/unit_tests/test_util.py index f950207e..e51fe7aa 100644 --- a/src/tests/unit_tests/test_util.py +++ b/src/tests/unit_tests/test_util.py @@ -150,42 +150,97 @@ def test_log_formatter_formats_correctly_2(logs_with_final_response): assert log_formatter(logs_with_final_response) == expected_output -@pytest.fixture -def source_data(): - return " Cillum labore et culpa elit irure labore nostrud 12.45 minim cupidatat. Nulla nisi aliquip do duis elit tempor magna. Occaecat sunt nisi aliqua officia fugiat. Dolor ea ad mollit nulla ullamco sit voluptate cillum id laboris et proident anim. Culpa officia incididunt sit qui exercitation magna voluptate Lorem duis eu occaecat. Non occaecat deserunt voluptate cillum aliquip voluptate veniam. Ullamco commodo eiusmod consequat dolor cillum quis Lorem $45,000 labore tempor cupidatat 7 elit quis deserunt.  " - - -@pytest.fixture -def correct_result_data(): - return "Labore deserunt 12.45 $45,000 ,7 sit velit nulla. Sint ipsum reprehenderit sint cupidatat amet est id anim exercitation fugiat adipisicing elit. Id est dolore minim magna occaecat aute. Est dolore culpa laborum non esse nostrud." - - -@pytest.fixture -def incorrect_result_data(): - return "Labore deserunt 12.45 $45,000 ,7 ,56 , 65 sit velit nulla. Sint ipsum reprehenderit sint cupidatat amet est id anim exercitation fugiat adipisicing elit. Id est dolore minim magna occaecat aute. Est dolore culpa laborum non esse nostrud." - - -def test_extract_numbers_from_text(source_data): - extracted_number = extract_numbers_from_text(source_data) - - # source data has these numbers in it - numbers_in_source_data = ["12.45", "45000", "7"] - assert len(numbers_in_source_data) == len( - extracted_number - ), "failed to extract a number" - for number in extracted_number: - assert number in numbers_in_source_data, ( - number + " is not in numbers_in_source_data" - ) - - -def test_extract_numbers_from_text_pass(source_data, correct_result_data): - # test aganist a text with the same numbers within it - check_result = check_if_number_exist(source_data, correct_result_data) - assert check_result["number_exists"] - - -def test_extract_numbers_from_text_fails(source_data, incorrect_result_data): - # test aganist a text which don't have the same numers as the source - check_result = check_if_number_exist(incorrect_result_data, source_data) - assert not check_result["number_exists"] +@pytest.mark.parametrize( + "source_text,source_numbers", + [ + ( + "nostrud 12.45 minim cupidatat Lorem $45,000 labore7 elit.", + ["12.45", "45000", "7"], + ), + ( + "123something12minim jammed together $45 abore 7 elit123", + ["123", "12", "45", "7", "123"], + ), + ("42 is a 42 with 42plus42 and 42", ["42", "42", "42", "42", "42"]), + ( + "No numbers to see here", + [], + ), + ( + None, + [], + ), + ], +) +def test_extract_numbers_from_text(source_text, source_numbers): + extracted_numbers = extract_numbers_from_text(source_text) + for number in extracted_numbers: + assert number in source_numbers, number + " is not in source_numbers" + assert len(extracted_numbers) == len( + source_numbers + ), f"Incorrect extraction from #{ source_text }, expected #{ source_numbers } but got #{ extracted_numbers }" + + +@pytest.mark.parametrize( + "text_to_test,source_text", + [ + ( + "nostrud 12.45 minim cupidatat Lorem $45,000 labore7 elit.", + "nostrud 12.45 minim cupidatat Lorem $45,000 labore7 elit.", + ), + ( + "123something12minim jammed together $45 abore 7 elit123", + "45 7 123 12 45 7 123", + ), + ( + "42 is a 42 with 42plus42 and 42", + "99999 with a 42 does not add to 991232", + ), + ( + "No numbers to see here", + "99999 with a 42 does not add to 991232", + ), + ( + None, + "This can be anything", + ), + (None, None), + ], +) +def test_verify_numbers_against_source_succeeds(text_to_test, source_text): + result, msg = verify_numbers_against_source(text_to_test, source_text) + assert ( + result is True + ), f"Expected '{ source_text}' to contain all numbers in '{text_to_test}'" + assert msg is None, f"Expected return message to be None, got { msg } instead" + + +@pytest.mark.parametrize( + "text_to_test,source_text", + [ + ( + "nostrud 12.45 minim cupidatat Lorem $45,000 labore7 elit.", + "nostrud minim cupidatat Lorem $45,000 labore7 elit.", + ), + ( + "123something12minim jammed together $45 abore 7 elit123", + "45 7 12", + ), + ( + "42 is a 42 with 42plus42 and 42", + "99999 plus 991232", + ), + ( + "42", + None, + ), + ], +) +def test_verify_numbers_against_source_fails(text_to_test, source_text): + result, msg = verify_numbers_against_source(text_to_test, source_text) + assert ( + result is False + ), f"Expected '{ source_text}' NOT to contain all numbers in '{text_to_test}'" + assert ( + "Don't use the numbers" in msg + ), f"Return message { msg } doesn't contain expected text" From 89dd1941bec3b0dd84ecea30492f9aa256eb128d Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Mon, 19 Feb 2024 23:54:47 -0500 Subject: [PATCH 13/18] Refactoring and commenting --- src/.env-sample | 3 +++ src/apps/slackapp/slackapp/bolt_app.py | 6 +++--- src/apps/slackapp/slackapp/utils.py | 10 ++++++++-- src/sherpa_ai/agents/base.py | 4 +++- src/sherpa_ai/agents/qa_agent.py | 10 +++------- src/sherpa_ai/memory/belief.py | 3 +-- src/sherpa_ai/output_parsers/__init__.py | 2 -- src/sherpa_ai/output_parsers/citation_validation.py | 11 +++++++++-- src/sherpa_ai/output_parsers/number_validation.py | 7 +++++-- src/sherpa_ai/scrape/extract_github_readme.py | 2 +- .../test_number_citation_validator.py | 2 +- 11 files changed, 37 insertions(+), 23 deletions(-) diff --git a/src/.env-sample b/src/.env-sample index f6c9114f..a8ebb62f 100644 --- a/src/.env-sample +++ b/src/.env-sample @@ -7,6 +7,9 @@ FLASK_DEBUG=True # True or False # OpenAI. Mandatory. Enables language modeling. OPENAI_API_KEY= # OpenAI API key +# Temperature configuration for OpenAI. Optional. Default is 0. +TEMPERATURE= # Only applies to the legacy task agent + # Serper.dev. Optional. Enables Google web search capability # SERPER_API_KEY= # Serper.dev API key diff --git a/src/apps/slackapp/slackapp/bolt_app.py b/src/apps/slackapp/slackapp/bolt_app.py index d7774a6f..35f22575 100644 --- a/src/apps/slackapp/slackapp/bolt_app.py +++ b/src/apps/slackapp/slackapp/bolt_app.py @@ -4,7 +4,7 @@ ############################################## import time -from typing import Dict, List +from typing import Dict, List, Optional from flask import Flask, request from langchain.schema import AIMessage, BaseMessage, HumanMessage @@ -95,8 +95,8 @@ def get_response( verbose_logger: BaseVerboseLogger, bot_info: Dict[str, str], llm=None, - team_id: str = "", - user_id: str = "", + team_id: Optional[str] = None, + user_id: Optional[str] = None, ) -> str: """ Get response from the task agent for the question diff --git a/src/apps/slackapp/slackapp/utils.py b/src/apps/slackapp/slackapp/utils.py index 9f6b721b..eaa691f4 100644 --- a/src/apps/slackapp/slackapp/utils.py +++ b/src/apps/slackapp/slackapp/utils.py @@ -1,13 +1,19 @@ from typing import Optional from hydra.utils import instantiate -from omegaconf import DictConfig, OmegaConf +from langchain.base_language import BaseLanguageModel +from omegaconf import OmegaConf from sherpa_ai.agents.qa_agent import QAAgent from sherpa_ai.config.task_config import AgentConfig -def get_qa_agent_from_config_file(config_path, user_id=None, team_id=None, llm=None) -> QAAgent: +def get_qa_agent_from_config_file( + config_path: str, + user_id: Optional[str] = None, + team_id: Optional[str] = None, + llm: Optional[BaseLanguageModel] = None, +) -> QAAgent: config = OmegaConf.load(config_path) agent_config: AgentConfig = instantiate(config.agent_config) diff --git a/src/sherpa_ai/agents/base.py b/src/sherpa_ai/agents/base.py index 7dabacde..6c650e76 100644 --- a/src/sherpa_ai/agents/base.py +++ b/src/sherpa_ai/agents/base.py @@ -117,7 +117,9 @@ def validate_output(self): if not validation_result.is_valid: is_valid = False self.belief.update_internal( - EventType.feedback, self.feedback_agent_name, validation_result.feedback + EventType.feedback, + self.feedback_agent_name, + validation_result.feedback, ) last_failed_validation = validation break diff --git a/src/sherpa_ai/agents/qa_agent.py b/src/sherpa_ai/agents/qa_agent.py index 908e7164..49c952d3 100644 --- a/src/sherpa_ai/agents/qa_agent.py +++ b/src/sherpa_ai/agents/qa_agent.py @@ -1,20 +1,16 @@ from typing import List, Optional from langchain.base_language import BaseLanguageModel -from loguru import logger from sherpa_ai.action_planner import ActionPlanner from sherpa_ai.actions import GoogleSearch, SynthesizeOutput from sherpa_ai.actions.base import BaseAction from sherpa_ai.agents.base import BaseAgent from sherpa_ai.config import AgentConfig -from sherpa_ai.events import EventType from sherpa_ai.memory import Belief from sherpa_ai.memory.shared_memory import SharedMemory from sherpa_ai.output_parsers.base import BaseOutputProcessor from sherpa_ai.output_parsers.citation_validation import CitationValidation -from sherpa_ai.output_parsers.number_validation import NumberValidation -from sherpa_ai.output_parsers.validation_result import ValidationResult from sherpa_ai.verbose_loggers.base import BaseVerboseLogger from sherpa_ai.verbose_loggers.verbose_loggers import DummyVerboseLogger @@ -25,7 +21,7 @@ ACTION_PLAN_DESCRIPTION = "Given your specialized expertise, historical context, and your mission to facilitate Machine-Learning-based solutions, determine which action and its corresponding arguments would be the most scientifically sound and efficient approach to achieve the described task." # noqa: E501 -TASK_AGENT_DESRIPTION = "You are a **question answering assistant** who solves user questions and offers a detailed solution." # noqa: E501 +TASK_AGENT_DESCRIPTION = "You are a **question answering assistant** who solves user questions and offers a detailed solution." # noqa: E501 class QAAgent(BaseAgent): @@ -37,7 +33,7 @@ def __init__( self, llm: BaseLanguageModel, name: str = "QA Agent", - description: str = TASK_AGENT_DESRIPTION, + description: str = TASK_AGENT_DESCRIPTION, shared_memory: SharedMemory = None, belief: Optional[Belief] = None, agent_config: AgentConfig = AgentConfig(), @@ -53,7 +49,7 @@ def __init__( Args: llm (BaseLanguageModel): The language model used to generate text name (str, optional): The name of the agent. Defaults to "QA Agent". - description (str, optional): The description of the agent. Defaults to TASK_AGENT_DESRIPTION. + description (str, optional): The description of the agent. Defaults to TASK_AGENT_DESCRIPTION. shared_memory (SharedMemory, optional): The shared memory used to store information and shared with other agents. Defaults to None. belief (Optional[Belief], optional): The belief of the agent. Defaults to None. agent_config (AgentConfig, optional): The agent configuration. Defaults to AgentConfig. diff --git a/src/sherpa_ai/memory/belief.py b/src/sherpa_ai/memory/belief.py index fd27a24f..98e1e50b 100644 --- a/src/sherpa_ai/memory/belief.py +++ b/src/sherpa_ai/memory/belief.py @@ -6,13 +6,12 @@ class Belief: """ - The belief of the agent. it contains + The belief of the agent. it contains 1. events: the events oberseved by the agent, syncronized with the shared memory 2. internal_events: the internal events generated by the agent through the reasoning process (actions) """ def __init__(self): - self.events: List[Event] = [] self.internal_events: List[Event] = [] self.current_task: Event = None diff --git a/src/sherpa_ai/output_parsers/__init__.py b/src/sherpa_ai/output_parsers/__init__.py index fb1de81a..5160b37a 100644 --- a/src/sherpa_ai/output_parsers/__init__.py +++ b/src/sherpa_ai/output_parsers/__init__.py @@ -5,8 +5,6 @@ from sherpa_ai.output_parsers.number_validation import NumberValidation __all__ = [ - "BaseOutputParser", - "BaseOutputProcessor", "LinkParser", "MDToSlackParse", "CitationValidation", diff --git a/src/sherpa_ai/output_parsers/citation_validation.py b/src/sherpa_ai/output_parsers/citation_validation.py index 6727b465..b6d9767d 100644 --- a/src/sherpa_ai/output_parsers/citation_validation.py +++ b/src/sherpa_ai/output_parsers/citation_validation.py @@ -5,6 +5,8 @@ from sherpa_ai.output_parsers.base import BaseOutputProcessor from sherpa_ai.output_parsers.validation_result import ValidationResult +# download the punkt tokenizer. This is necessary for the sent_tokenize in NLTK. +# The download will only happen once and the result will be cached. nltk.download("punkt") @@ -35,7 +37,10 @@ class CitationValidation(BaseOutputProcessor): result = citation_parser.parse_output(generated_text, list_of_resources) ``` """ - def __init__(self, sequence_threshold=0.7, jaccard_threshold=0.7, token_overlap=0.7): + + def __init__( + self, sequence_threshold=0.7, jaccard_threshold=0.7, token_overlap=0.7 + ): """ Initialize the CitationValidation object. @@ -45,7 +50,9 @@ def __init__(self, sequence_threshold=0.7, jaccard_threshold=0.7, token_overlap= - token_overlap (float): Token overlap threshold. Default is 0.7. """ # threshold - self.sequence_threshold = sequence_threshold # threshold for common longest subsequece / text + self.sequence_threshold = ( + sequence_threshold # threshold for common longest subsequece / text + ) self.jaccard_threshold = jaccard_threshold self.token_overlap = token_overlap diff --git a/src/sherpa_ai/output_parsers/number_validation.py b/src/sherpa_ai/output_parsers/number_validation.py index 26fccbae..485e5092 100644 --- a/src/sherpa_ai/output_parsers/number_validation.py +++ b/src/sherpa_ai/output_parsers/number_validation.py @@ -26,6 +26,7 @@ class NumberValidation(BaseOutputProcessor): ``` """ + def process_output(self, text: str, belief: Belief) -> ValidationResult: """ Verifies that all numbers within `text` exist in the `belief` source text. @@ -35,13 +36,15 @@ def process_output(self, text: str, belief: Belief) -> ValidationResult: Returns: ValidationResult: The result of the validation. If any number in the text to be processed doesn't exist in the source text, - validation is invalid and contains a feedback string. + validation is invalid and contains a feedback string. Otherwise validation is valid. """ source = belief.get_histories_excluding_types( exclude_type=[EventType.feedback, EventType.result], ) - numbers_exist_in_source, error_message = verify_numbers_against_source(text, source) + numbers_exist_in_source, error_message = verify_numbers_against_source( + text, source + ) if numbers_exist_in_source: return ValidationResult( is_valid=True, diff --git a/src/sherpa_ai/scrape/extract_github_readme.py b/src/sherpa_ai/scrape/extract_github_readme.py index db5d491e..07d7a802 100644 --- a/src/sherpa_ai/scrape/extract_github_readme.py +++ b/src/sherpa_ai/scrape/extract_github_readme.py @@ -32,7 +32,7 @@ def extract_github_readme(repo_url): response = requests.get(github_api_url, headers=headers) files = response.json() - if type(files) is dict and files["message"].lower() == 'bad credentials': + if type(files) is dict and files["message"].lower() == "bad credentials": return None matching_files = [ file["name"] diff --git a/src/tests/integration_tests/test_number_citation_validator.py b/src/tests/integration_tests/test_number_citation_validator.py index 527e7696..91cae32b 100644 --- a/src/tests/integration_tests/test_number_citation_validator.py +++ b/src/tests/integration_tests/test_number_citation_validator.py @@ -161,7 +161,7 @@ def test_number_citation_succeeds_in_qa( shared_memory=shared_memory, num_runs=1, validations=[number_validation], - validation_steps=3 + validation_steps=3, ) shared_memory.add( From dcd486cff95697f8698f56b6681e7b4f5167babb Mon Sep 17 00:00:00 2001 From: Boqi Chen Date: Tue, 20 Feb 2024 00:33:29 -0500 Subject: [PATCH 14/18] Fix issues after rebase --- src/sherpa_ai/memory/belief.py | 15 +++------------ src/sherpa_ai/memory/shared_memory.py | 8 ++++++-- src/sherpa_ai/output_parsers/number_validation.py | 2 +- src/tests/unit_tests/test_util.py | 2 +- 4 files changed, 11 insertions(+), 16 deletions(-) diff --git a/src/sherpa_ai/memory/belief.py b/src/sherpa_ai/memory/belief.py index 98e1e50b..5d0c3c3f 100644 --- a/src/sherpa_ai/memory/belief.py +++ b/src/sherpa_ai/memory/belief.py @@ -95,17 +95,8 @@ def get_internal_history( def get_histories_excluding_types( self, -<<<<<<< HEAD -<<<<<<< HEAD - token_counter: Callable[[str], int], - exclude_type: [EventType], -======= - exclude_type: [EventType], -======= - exclude_type: list[EventType], ->>>>>>> dc19ee0 (Improve naming of variable and documentation) + exclude_types: list[EventType], token_counter: Optional[Callable[[str], int]] = None, ->>>>>>> bf5015c (Refactor th agents to modularize validation) max_tokens=4000, ): """ @@ -114,7 +105,7 @@ def get_histories_excluding_types( Args: token_counter: Token counter max_tokens: Maximum number of tokens - exclude_type: List of events to be excluded + exclude_types: List of events to be excluded Returns: str: Internal history of the agent @@ -128,7 +119,7 @@ def token_counter(x): feedback = [] current_tokens = 0 for event in reversed(self.internal_events): - if event.event_type not in exclude_type: + if event.event_type not in exclude_types: if event.event_type == EventType.feedback: feedback.append(event.content) else: diff --git a/src/sherpa_ai/memory/shared_memory.py b/src/sherpa_ai/memory/shared_memory.py index 4b3b12ae..60600a74 100644 --- a/src/sherpa_ai/memory/shared_memory.py +++ b/src/sherpa_ai/memory/shared_memory.py @@ -1,10 +1,14 @@ -from typing import List, Optional +from __future__ import annotations + +from typing import TYPE_CHECKING, List, Optional from sherpa_ai.actions.planning import Plan -from sherpa_ai.agents import AgentPool from sherpa_ai.events import Event, EventType from sherpa_ai.memory.belief import Belief +if TYPE_CHECKING: + from sherpa_ai.agents import AgentPool + class SharedMemory: def __init__(self, objective: str, agent_pool: AgentPool = None): diff --git a/src/sherpa_ai/output_parsers/number_validation.py b/src/sherpa_ai/output_parsers/number_validation.py index 485e5092..0f3cb4f6 100644 --- a/src/sherpa_ai/output_parsers/number_validation.py +++ b/src/sherpa_ai/output_parsers/number_validation.py @@ -40,7 +40,7 @@ def process_output(self, text: str, belief: Belief) -> ValidationResult: Otherwise validation is valid. """ source = belief.get_histories_excluding_types( - exclude_type=[EventType.feedback, EventType.result], + exclude_types=[EventType.feedback, EventType.result], ) numbers_exist_in_source, error_message = verify_numbers_against_source( text, source diff --git a/src/tests/unit_tests/test_util.py b/src/tests/unit_tests/test_util.py index e51fe7aa..a41d5a33 100644 --- a/src/tests/unit_tests/test_util.py +++ b/src/tests/unit_tests/test_util.py @@ -3,7 +3,6 @@ import pytest from sherpa_ai.utils import ( - check_if_number_exist, extract_numbers_from_text, get_base_url, get_links_from_string, @@ -11,6 +10,7 @@ rewrite_link_references, scrape_with_url, show_commands_only, + verify_numbers_against_source, ) From 2cd83691d74394907203e0a010d242c1e22f9946 Mon Sep 17 00:00:00 2001 From: Oshoma Momoh Date: Thu, 22 Feb 2024 10:50:42 -0500 Subject: [PATCH 15/18] Update dependency lock file --- src/poetry.lock | 335 +++++++++++++++++++++++++----------------------- 1 file changed, 177 insertions(+), 158 deletions(-) diff --git a/src/poetry.lock b/src/poetry.lock index 070c304f..c12cebd6 100644 --- a/src/poetry.lock +++ b/src/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. [[package]] name = "aiohttp" @@ -316,17 +316,17 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "boto3" -version = "1.34.42" +version = "1.34.47" description = "The AWS SDK for Python" optional = false python-versions = ">= 3.8" files = [ - {file = "boto3-1.34.42-py3-none-any.whl", hash = "sha256:5069b2c647c73c8428378e88b32bd23f568001f897a6f01179fae25de72a7ca6"}, - {file = "boto3-1.34.42.tar.gz", hash = "sha256:2ed136f9cf79e783e12424db23e970d1c50e65a8d7a9077efa71cbf8496fb7a3"}, + {file = "boto3-1.34.47-py3-none-any.whl", hash = "sha256:1de708665cbf156e76ca67e376d6cabc5f9a06d7213f925a510cb818a15340a6"}, + {file = "boto3-1.34.47.tar.gz", hash = "sha256:7574afd70c767fdbb19726565a67b47291e1e35ec792c9fbb8ee63cb3f630d45"}, ] [package.dependencies] -botocore = ">=1.34.42,<1.35.0" +botocore = ">=1.34.47,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -335,13 +335,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.42" 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"rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"] docs-specific = ["hf-doc-builder"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] @@ -3624,20 +3643,20 @@ ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (!=2.5.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] -serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"] +serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic (<2)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"] tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] timm = ["timm"] tokenizers = ["tokenizers (>=0.14,<0.19)"] -torch = ["accelerate (>=0.21.0)", "torch (>=1.11,!=1.12.0)"] +torch = ["accelerate (>=0.21.0)", "torch"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -4267,4 +4286,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "b3e300bdffa3a850605aeefd7e7f91f74cb70bb4b442748eed2bcf98f54f5498" +content-hash = "eb80cc05c3c1394e0ecf84403a9b352a2e9dd041d79cb299513f7e4189cad685" From 0cdaba3560f3ae7a92573be2c311db7fa8ccb17a Mon Sep 17 00:00:00 2001 From: Oshoma Momoh Date: Thu, 22 Feb 2024 11:18:25 -0500 Subject: [PATCH 16/18] Reformat with `make` --- src/sherpa_ai/actions/__init__.py | 2 +- src/sherpa_ai/actions/answer_arithmetic.py | 8 +++++--- src/sherpa_ai/config/__init__.py | 2 +- src/sherpa_ai/database/user_usage_tracker.py | 6 ++++-- src/tests/unit_tests/actions/test_answer_arithmetic.py | 3 ++- 5 files changed, 13 insertions(+), 8 deletions(-) diff --git a/src/sherpa_ai/actions/__init__.py b/src/sherpa_ai/actions/__init__.py index cb995693..b1ef3b17 100644 --- a/src/sherpa_ai/actions/__init__.py +++ b/src/sherpa_ai/actions/__init__.py @@ -1,9 +1,9 @@ +from sherpa_ai.actions.answer_arithmetic import AnswerArithmetic from sherpa_ai.actions.arxiv_search import ArxivSearch from sherpa_ai.actions.deliberation import Deliberation from sherpa_ai.actions.google_search import GoogleSearch from sherpa_ai.actions.planning import TaskPlanning from sherpa_ai.actions.synthesize import SynthesizeOutput -from sherpa_ai.actions.answer_arithmetic import AnswerArithmetic __all__ = [ "AnswerArithmetic", diff --git a/src/sherpa_ai/actions/answer_arithmetic.py b/src/sherpa_ai/actions/answer_arithmetic.py index 8593bcb6..cf43526e 100644 --- a/src/sherpa_ai/actions/answer_arithmetic.py +++ b/src/sherpa_ai/actions/answer_arithmetic.py @@ -1,15 +1,17 @@ -from loguru import logger import os import re import types from collections import Counter -from sherpa_ai.actions.base import BaseAction -from sherpa_ai.config.task_config import AgentConfig + import openai import pal +from loguru import logger from pal.core.interface import timeout from pal.prompt import math_prompts +from sherpa_ai.actions.base import BaseAction +from sherpa_ai.config.task_config import AgentConfig + def changePlaceholder(question, number_dict): for key in number_dict: diff --git a/src/sherpa_ai/config/__init__.py b/src/sherpa_ai/config/__init__.py index 452011ca..2b73bb1a 100644 --- a/src/sherpa_ai/config/__init__.py +++ b/src/sherpa_ai/config/__init__.py @@ -49,7 +49,7 @@ LOG_LEVEL = environ.get("LOG_LEVEL", "INFO").upper() # Usage setting -DAILY_TOKEN_LIMIT = float(environ.get("DAILY_TOKEN_LIMIT") or 20000) +DAILY_TOKEN_LIMIT = float(environ.get("DAILY_TOKEN_LIMIT") or 20000) DAILY_LIMIT_REACHED_MESSAGE = ( environ.get("DAILY_LIMIT_REACHED_MESSAGE") or "Sorry for the inconvenience, but it seems that you have exceeded your daily token limit. As a result, you will need to try again after 24 hours. Thank you for your understanding." diff --git a/src/sherpa_ai/database/user_usage_tracker.py b/src/sherpa_ai/database/user_usage_tracker.py index b1389184..39d78b62 100644 --- a/src/sherpa_ai/database/user_usage_tracker.py +++ b/src/sherpa_ai/database/user_usage_tracker.py @@ -1,6 +1,7 @@ import time -from anyio import Path + import boto3 +from anyio import Path from sqlalchemy import TIMESTAMP, Boolean, Column, Integer, String, create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker @@ -119,7 +120,8 @@ def remind_user_of_daily_token_limit(self, combined_id): self.is_reminded = self.check_if_reminded(combined_id=combined_id) if not user_is_whitelisted and not self.is_reminded: if ( - self.percentage_used(combined_id=combined_id) > self.usage_percentage_allowed + self.percentage_used(combined_id=combined_id) + > self.usage_percentage_allowed and not self.is_reminded ): self.add_data(combined_id=combined_id, token=0, reminded_timestamp=True) diff --git a/src/tests/unit_tests/actions/test_answer_arithmetic.py b/src/tests/unit_tests/actions/test_answer_arithmetic.py index 98c2eae7..575c1f9f 100644 --- a/src/tests/unit_tests/actions/test_answer_arithmetic.py +++ b/src/tests/unit_tests/actions/test_answer_arithmetic.py @@ -1,6 +1,7 @@ +import pytest + from sherpa_ai.actions import AnswerArithmetic from sherpa_ai.test_utils.llms import get_llm -import pytest @pytest.mark.external_api From 58e46a802d92fd3141f76c6f07115c99e8c79811 Mon Sep 17 00:00:00 2001 From: Eyobyb Date: Tue, 13 Feb 2024 16:33:06 +0300 Subject: [PATCH 17/18] Document file scraper and database usage --- src/sherpa_ai/database/user_usage_tracker.py | 162 ++++++++++++++++++ src/sherpa_ai/scrape/extract_github_readme.py | 28 +++ src/sherpa_ai/scrape/file_scraper.py | 40 +++++ src/sherpa_ai/scrape/prompt_reconstructor.py | 24 +++ 4 files changed, 254 insertions(+) diff --git a/src/sherpa_ai/database/user_usage_tracker.py b/src/sherpa_ai/database/user_usage_tracker.py index 39d78b62..2b556304 100644 --- a/src/sherpa_ai/database/user_usage_tracker.py +++ b/src/sherpa_ai/database/user_usage_tracker.py @@ -16,6 +16,9 @@ class UsageTracker(Base): + + """Class representing the 'usage_tracker' table in the database.""" + __tablename__ = "usage_tracker" id = Column(Integer, primary_key=True, autoincrement=True) user_id = Column(String) @@ -26,6 +29,9 @@ class UsageTracker(Base): class Whitelist(Base): + + """Class representing the 'whitelist' table in the database.""" + __tablename__ = "whitelist" id = Column(Integer, primary_key=True, autoincrement=True) @@ -33,11 +39,22 @@ class Whitelist(Base): class UserUsageTracker: + + """Class for tracking user usage in the application.""" + def __init__( self, db_name=cfg.DB_NAME, verbose_logger: BaseVerboseLogger = DummyVerboseLogger(), ): + """ + Initialize the UserUsageTracker. + + Args: + db_name (str): Name of the database. + max_daily_token (int): Maximum daily token limit. + """ + self.engine = create_engine(db_name) Session = sessionmaker(bind=self.engine) self.session = Session() @@ -48,19 +65,45 @@ def __init__( self.usage_percentage_allowed = 75 def download_from_s3(self, bucket_name, s3_file_key, local_file_path): + """ + Download a file from Amazon S3. + + Args: + bucket_name (str): Name of the S3 bucket. + s3_file_key (str): Key of the file in the S3 bucket. + local_file_path (str): Local path where the file will be downloaded. + """ file_path = Path("./token_counter.db") if not file_path.exists(): s3 = boto3.client("s3") s3.download_file(bucket_name, s3_file_key, local_file_path) def upload_to_s3(self, local_file_path, bucket_name, s3_file_key): + """ + Upload a file to Amazon S3. + + Args: + local_file_path (str): Local path of the file to be uploaded. + bucket_name (str): Name of the S3 bucket. + s3_file_key (str): Key of the file in the S3 bucket. + """ + s3 = boto3.client("s3") s3.upload_file(local_file_path, bucket_name, s3_file_key) def create_table(self): + """Create the necessary tables in the database.""" + Base.metadata.create_all(self.engine) def add_to_whitelist(self, user_id): + """ + Add a user to the whitelist table. + + Args: + user_id (str): ID of the user to be added to the whitelist. + """ + user = Whitelist(user_id=user_id) self.session.add(user) self.session.commit() @@ -70,19 +113,50 @@ def add_to_whitelist(self, user_id): ) def get_all_whitelisted_ids(self): + """Get a list of all user IDs in the whitelist.""" + whitelisted_ids = [user.user_id for user in self.session.query(Whitelist).all()] return whitelisted_ids def get_whitelist_by_user_id(self, user_id): + """ + Get whitelist information for a specific user. + + Args: + user_id (str): ID of the user. + + Returns: + list: List of dictionaries containing whitelist information. + """ + data = self.session.query(Whitelist).filter_by(user_id=user_id).all() return [{"id": item.id, "user_id": item.user_id} for item in data] def is_in_whitelist(self, user_id): + """ + Check if a user is in the whitelist. + + Args: + user_id (str): ID of the user. + + Returns: + bool: True if the user is in the whitelist, False otherwise. + """ + return bool(self.get_whitelist_by_user_id(user_id)) def add_and_check_data( self, combined_id, token, reset_timestamp=False, reminded_timestamp=False ): + """ + Add usage data for a user and check for reminders. + + Args: + combined_id (str): Combined ID of the user. + token (int): Number of tokens used. + reset_timestamp (bool): Whether to reset the timestamp. + reminded_timestamp (bool): Set reminded_timestamp. + """ self.add_data( combined_id=combined_id, token=token, @@ -94,6 +168,16 @@ def add_and_check_data( def add_data( self, combined_id, token, reset_timestamp=False, reminded_timestamp=False ): + """ + Add usage data for a user. + + Args: + combined_id (str): Combined ID of the user. + token (int): Number of tokens used. + reset_timestamp (bool): Whether to reset the timestamp. + reminded_timestamp (bool): Set reminded_timestamp. + + """ data = UsageTracker( user_id=combined_id, token=token, @@ -105,12 +189,28 @@ def add_data( self.session.commit() def percentage_used(self, combined_id): + """ + Calculate the percentage of daily tokens used by a user. + + Args: + combined_id (str): Combined ID of the user. + + Returns: + float: Percentage of daily tokens used since last reset. + """ + total_token_since_last_reset = self.get_sum_of_tokens_since_last_reset( user_id=combined_id ) return (total_token_since_last_reset * 100) / self.max_daily_token def remind_user_of_daily_token_limit(self, combined_id): + """ + Remind the user when their token usage exceeds a certain percentage. + + Args: + combined_id (str): Combined ID of the user. + """ split_parts = combined_id.split("_") user_id = "" if len(split_parts) > 0: @@ -131,6 +231,16 @@ def remind_user_of_daily_token_limit(self, combined_id): ) def get_data_since_last_reset(self, user_id): + """ + Get usage data since the last reset is true for a user. + + Args: + user_id (str): ID of the user. + + Returns: + list: List of dictionaries containing usage data. + """ + last_reset_info = self.get_last_reset_info(user_id) if last_reset_info is None or last_reset_info["id"] is None: @@ -176,6 +286,16 @@ def check_if_reminded(self, combined_id): return is_reminded_true def get_sum_of_tokens_since_last_reset(self, user_id): + """ + Calculate the sum of tokens used since the last reset for a user. + + Args: + user_id (str): ID of the user. + + Returns: + int: Sum of tokens used since the last reset. + """ + data_since_last_reset = self.get_data_since_last_reset(user_id) if len(data_since_last_reset) == 1 and "user_id" in data_since_last_reset[0]: @@ -185,11 +305,28 @@ def get_sum_of_tokens_since_last_reset(self, user_id): return token_sum def reset_usage(self, combined_id, token_amount): + """ + Reset the usage data for a user. By changing the the reset_timestamp to true. + + Args: + combined_id (str): Combined ID of the user. + token_amount (int): Number of tokens to reset. + """ self.add_and_check_data( combined_id=combined_id, token=token_amount, reset_timestamp=True ) def get_last_reset_info(self, combined_id): + """ + Get information about the last reset for a user. + + Args: + combined_id (str): Combined ID of the user. + + Returns: + dict or None: Dictionary containing last reset information or None if not found. + """ + data = ( self.session.query(UsageTracker.id, UsageTracker.timestamp) .filter( @@ -205,6 +342,16 @@ def get_last_reset_info(self, combined_id): return None def seconds_to_hms(self, seconds): + """ + Convert seconds to hours, minutes, and seconds. + + Args: + seconds (int): Number of seconds. + + Returns: + str: Formatted string in the format "hours : minutes : seconds". + """ + remaining_seconds = int(float(cfg.LIMIT_TIME_SIZE_IN_HOURS) * 3600 - seconds) hours = remaining_seconds // 3600 minutes = (remaining_seconds % 3600) // 60 @@ -213,6 +360,19 @@ def seconds_to_hms(self, seconds): return f"{hours} hours : {minutes} min : {seconds} sec" def check_usage(self, user_id, combined_id, token_amount): + """ + Check user usage and determine if an action is allowed. + + Args: + user_id (str): ID of the user. + combined_id (str): Combined ID of the user. + token_amount (int): Number of tokens to check. + + Returns: + dict: Result containing information about token left, whether the action can be executed, + any associated message, and the time left. + """ + user_is_whitelisted = self.is_in_whitelist(user_id) if user_is_whitelisted: @@ -278,4 +438,6 @@ def get_all_data(self): ] def close_connection(self): + """Close the database connection.""" + self.session.close() diff --git a/src/sherpa_ai/scrape/extract_github_readme.py b/src/sherpa_ai/scrape/extract_github_readme.py index 07d7a802..6ff294ad 100644 --- a/src/sherpa_ai/scrape/extract_github_readme.py +++ b/src/sherpa_ai/scrape/extract_github_readme.py @@ -12,11 +12,31 @@ def get_owner_and_repo(url): + """ + Extracts the owner and repository name from a GitHub repository URL. + + Parameters: + - url (str): The GitHub repository URL. + + Returns: + Tuple[str, str]: A tuple containing the owner and repository name. + """ + url_content_list = url.split("/") return url_content_list[3], url_content_list[4].split("#")[0] def extract_github_readme(repo_url): + """ + Extracts the content of the README file from a GitHub repository. + + Parameters: + - repo_url (str): The GitHub repository URL. + + Returns: + str or None: The content of the README file, or None if the file is not found. + """ + pattern = r"(?:https?://)?(?:www\.)?github\.com/.*" match = re.match(pattern, repo_url) if match: @@ -64,6 +84,14 @@ def extract_github_readme(repo_url): def save_to_pine_cone(content, metadatas): + """ + Saves the content and metadata to Pinecone vector store. + + Parameters: + - content (str): The content to be saved. + - metadatas (list): List of metadata associated with the content. + """ + pinecone.init(api_key=cfg.PINECONE_API_KEY, environment=cfg.PINECONE_ENV) index = pinecone.Index("langchain") embeddings = OpenAIEmbeddings(openai_api_key=cfg.OPENAI_API_KEY) diff --git a/src/sherpa_ai/scrape/file_scraper.py b/src/sherpa_ai/scrape/file_scraper.py index e61a2852..4836182a 100644 --- a/src/sherpa_ai/scrape/file_scraper.py +++ b/src/sherpa_ai/scrape/file_scraper.py @@ -13,6 +13,19 @@ class QuestionWithFileHandler: def __init__(self, question, files, token, user_id, team_id): + """ + Initializes the QuestionWithFileHandler instance. + + currently works for one file only. + + Args: + question (str): The user's question. + files (list): List of files associated with the question. + token (str): Authorization token. + user_id (str): User ID. + team_id (str): Team ID. + """ + self.question = question self.token = token self.files = files @@ -20,6 +33,13 @@ def __init__(self, question, files, token, user_id, team_id): self.user_id = user_id def reconstruct_prompt_with_file(self): + """ + Reconstructs the prompt using the associated file. + + Returns: + dict: A dictionary with status and reconstructed prompt data. + """ + file_text_format = self.download_file(self.files[0]) if file_text_format["status"] == "success": reconstructed_prompt = self.prompt_reconstruct( @@ -33,6 +53,15 @@ def reconstruct_prompt_with_file(self): return {"status": "error", "message": file_text_format["message"]} def download_file(self, file): + """ + Downloads the specified file and return the content of the file. + + Args: + file (dict): Information about the file to be downloaded. Example name, title, filetype etc + + Returns: + dict: A dictionary with status and downloaded file content. + """ headers = { "Authorization": f"Bearer {self.token}", "Accept": file["mimetype"], @@ -66,6 +95,17 @@ def download_file(self, file): } def prompt_reconstruct(self, file_info, data=str): + """ + Reconstructs the prompt with the file content. + + Args: + file_info (dict): Information about the file being reconstructed. Example name, title, filetype etc + data (str): Content of the file. + + Returns: + dict: A dictionary with status and reconstructed prompt data. + """ + chunk_summary = data data_token_size = count_string_tokens(self.question + data, "gpt-3.5-turbo") diff --git a/src/sherpa_ai/scrape/prompt_reconstructor.py b/src/sherpa_ai/scrape/prompt_reconstructor.py index cd8acdfa..8fc1bb54 100644 --- a/src/sherpa_ai/scrape/prompt_reconstructor.py +++ b/src/sherpa_ai/scrape/prompt_reconstructor.py @@ -10,11 +10,35 @@ class PromptReconstructor: + + """ + Class to reconstruct prompts based on a question and links with in it. + """ + def __init__(self, question, slack_message): + """ + Initialize the PromptReconstructor with a question and a Slack message. + + Parameters: + - question (str): question is a prompt to be used for prompt reconstruction. + - slack_message (dict): The Slack message from which information is extracted. + """ + self.question = question self.slack_message = slack_message def reconstruct_prompt(self, user_id=None, team_id=None): + """ + Reconstruct the prompt based on the question and the last Slack message. + + Parameters: + - user_id (str, optional): User ID for context in prompt reconstruction. + - team_id (str, optional): Team ID for context in prompt reconstruction. + + Returns: + str: The reconstructed prompt . + """ + question = self.question last_message = self.slack_message last_message_links = get_link_from_slack_client_conversation(last_message) From 48636cc1434774ea68b461c4a28ed2f375c10ec2 Mon Sep 17 00:00:00 2001 From: Oshoma Momoh Date: Wed, 28 Feb 2024 14:57:34 -0500 Subject: [PATCH 18/18] Update docs --- src/sherpa_ai/database/user_usage_tracker.py | 19 ++++++++++--------- src/sherpa_ai/scrape/file_scraper.py | 4 ++-- src/sherpa_ai/scrape/prompt_reconstructor.py | 3 ++- 3 files changed, 14 insertions(+), 12 deletions(-) diff --git a/src/sherpa_ai/database/user_usage_tracker.py b/src/sherpa_ai/database/user_usage_tracker.py index 2b556304..ef5a191d 100644 --- a/src/sherpa_ai/database/user_usage_tracker.py +++ b/src/sherpa_ai/database/user_usage_tracker.py @@ -17,7 +17,7 @@ class UsageTracker(Base): - """Class representing the 'usage_tracker' table in the database.""" + """SQLAlchemy base model for tracking LLM token usage on per-user basis""" __tablename__ = "usage_tracker" id = Column(Integer, primary_key=True, autoincrement=True) @@ -30,7 +30,7 @@ class UsageTracker(Base): class Whitelist(Base): - """Class representing the 'whitelist' table in the database.""" + """Represents a trusted list of users whose usage is not tracked""" __tablename__ = "whitelist" @@ -40,7 +40,7 @@ class Whitelist(Base): class UserUsageTracker: - """Class for tracking user usage in the application.""" + """Enables an app to track LLM token usage on per-user basis""" def __init__( self, @@ -190,7 +190,7 @@ def add_data( def percentage_used(self, combined_id): """ - Calculate the percentage of daily tokens used by a user. + Calculate the percentage of daily token quota used by a user. Args: combined_id (str): Combined ID of the user. @@ -232,7 +232,7 @@ def remind_user_of_daily_token_limit(self, combined_id): def get_data_since_last_reset(self, user_id): """ - Get usage data since the last reset is true for a user. + Get usage since the user's usage data was last reset. Args: user_id (str): ID of the user. @@ -306,7 +306,7 @@ def get_sum_of_tokens_since_last_reset(self, user_id): def reset_usage(self, combined_id, token_amount): """ - Reset the usage data for a user. By changing the the reset_timestamp to true. + Reset the usage data for a user to zero. Args: combined_id (str): Combined ID of the user. @@ -318,7 +318,7 @@ def reset_usage(self, combined_id, token_amount): def get_last_reset_info(self, combined_id): """ - Get information about the last reset for a user. + Get information about the most recent usage data reset for a user. Args: combined_id (str): Combined ID of the user. @@ -361,7 +361,7 @@ def seconds_to_hms(self, seconds): def check_usage(self, user_id, combined_id, token_amount): """ - Check user usage and determine if an action is allowed. + Check user usage and determine whether user is allowed to consume more tokens. Args: user_id (str): ID of the user. @@ -369,7 +369,8 @@ def check_usage(self, user_id, combined_id, token_amount): token_amount (int): Number of tokens to check. Returns: - dict: Result containing information about token left, whether the action can be executed, + dict: Result containing information about tokens remaining, + whether more tokens can be consumed (can_excute), any associated message, and the time left. """ diff --git a/src/sherpa_ai/scrape/file_scraper.py b/src/sherpa_ai/scrape/file_scraper.py index 4836182a..b6ca635d 100644 --- a/src/sherpa_ai/scrape/file_scraper.py +++ b/src/sherpa_ai/scrape/file_scraper.py @@ -21,7 +21,7 @@ def __init__(self, question, files, token, user_id, team_id): Args: question (str): The user's question. files (list): List of files associated with the question. - token (str): Authorization token. + token (str): OAuth token. user_id (str): User ID. team_id (str): Team ID. """ @@ -54,7 +54,7 @@ def reconstruct_prompt_with_file(self): def download_file(self, file): """ - Downloads the specified file and return the content of the file. + Gets the specified file via HTTP and returns the file content. Args: file (dict): Information about the file to be downloaded. Example name, title, filetype etc diff --git a/src/sherpa_ai/scrape/prompt_reconstructor.py b/src/sherpa_ai/scrape/prompt_reconstructor.py index 8fc1bb54..e0e88db9 100644 --- a/src/sherpa_ai/scrape/prompt_reconstructor.py +++ b/src/sherpa_ai/scrape/prompt_reconstructor.py @@ -12,7 +12,8 @@ class PromptReconstructor: """ - Class to reconstruct prompts based on a question and links with in it. + Scrapes the content of URLs mentioned in the given Slack message, + and rewrites the question to incorporate a summary of the scraped URLs. """ def __init__(self, question, slack_message):