diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..c8cfe39 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.10 diff --git a/installer/client/cli/agents/.python-version b/installer/client/cli/agents/.python-version new file mode 100644 index 0000000..c8cfe39 --- /dev/null +++ b/installer/client/cli/agents/.python-version @@ -0,0 +1 @@ +3.10 diff --git a/installer/client/cli/agents/example.py b/installer/client/cli/agents/example.py new file mode 100644 index 0000000..e3d0736 --- /dev/null +++ b/installer/client/cli/agents/example.py @@ -0,0 +1,81 @@ +from langchain_community.tools import DuckDuckGoSearchRun +import os +from crewai import Agent, Task, Crew, Process +from dotenv import load_dotenv +import os + +current_directory = os.path.dirname(os.path.realpath(__file__)) +config_directory = os.path.expanduser("~/.config/fabric") +env_file = os.path.join(config_directory, ".env") +load_dotenv(env_file) +os.environ['OPENAI_MODEL_NAME'] = 'gpt-4-0125-preview' + +# You can choose to use a local model through Ollama for example. See https://docs.crewai.com/how-to/LLM-Connections/ for more information. +# osOPENAI_API_BASE='http://localhost:11434/v1' +# OPENAI_MODEL_NAME='openhermes' # Adjust based on available model +# OPENAI_API_KEY='' + +# Install duckduckgo-search for this example: +# !pip install -U duckduckgo-search + +search_tool = DuckDuckGoSearchRun() + +# Define your agents with roles and goals +researcher = Agent( + role='Senior Research Analyst', + goal='Uncover cutting-edge developments in AI and data science', + backstory="""You work at a leading tech think tank. + Your expertise lies in identifying emerging trends. + You have a knack for dissecting complex data and presenting actionable insights.""", + verbose=True, + allow_delegation=False, + tools=[search_tool] + # You can pass an optional llm attribute specifying what mode you wanna use. + # It can be a local model through Ollama / LM Studio or a remote + # model like OpenAI, Mistral, Antrophic or others (https://docs.crewai.com/how-to/LLM-Connections/) + # + # import os + # + # OR + # + # from langchain_openai import ChatOpenAI + # llm=ChatOpenAI(model_name="gpt-3.5", temperature=0.7) +) +writer = Agent( + role='Tech Content Strategist', + goal='Craft compelling content on tech advancements', + backstory="""You are a renowned Content Strategist, known for your insightful and engaging articles. + You transform complex concepts into compelling narratives.""", + verbose=True, + allow_delegation=True +) + +# Create tasks for your agents +task1 = Task( + description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024. + Identify key trends, breakthrough technologies, and potential industry impacts.""", + expected_output="Full analysis report in bullet points", + agent=researcher +) + +task2 = Task( + description="""Using the insights provided, develop an engaging blog + post that highlights the most significant AI advancements. + Your post should be informative yet accessible, catering to a tech-savvy audience. + Make it sound cool, avoid complex words so it doesn't sound like AI.""", + expected_output="Full blog post of at least 4 paragraphs", + agent=writer +) + +# Instantiate your crew with a sequential process +crew = Crew( + agents=[researcher, writer], + tasks=[task1, task2], + verbose=2, # You can set it to 1 or 2 to different logging levels +) + +# Get your crew to work! +result = crew.kickoff() + +print("######################") +print(result) diff --git a/installer/client/cli/agents/trip_planner/main.py b/installer/client/cli/agents/trip_planner/main.py new file mode 100644 index 0000000..cf92341 --- /dev/null +++ b/installer/client/cli/agents/trip_planner/main.py @@ -0,0 +1,89 @@ +from crewai import Crew +from textwrap import dedent +from .trip_agents import TripAgents +from .trip_tasks import TripTasks +import os +from dotenv import load_dotenv + +current_directory = os.path.dirname(os.path.realpath(__file__)) +config_directory = os.path.expanduser("~/.config/fabric") +env_file = os.path.join(config_directory, ".env") +load_dotenv(env_file) +os.environ['OPENAI_MODEL_NAME'] = 'gpt-4-0125-preview' + + +class TripCrew: + + def __init__(self, origin, cities, date_range, interests): + self.cities = cities + self.origin = origin + self.interests = interests + self.date_range = date_range + + def run(self): + agents = TripAgents() + tasks = TripTasks() + + city_selector_agent = agents.city_selection_agent() + local_expert_agent = agents.local_expert() + travel_concierge_agent = agents.travel_concierge() + + identify_task = tasks.identify_task( + city_selector_agent, + self.origin, + self.cities, + self.interests, + self.date_range + ) + gather_task = tasks.gather_task( + local_expert_agent, + self.origin, + self.interests, + self.date_range + ) + plan_task = tasks.plan_task( + travel_concierge_agent, + self.origin, + self.interests, + self.date_range + ) + + crew = Crew( + agents=[ + city_selector_agent, local_expert_agent, travel_concierge_agent + ], + tasks=[identify_task, gather_task, plan_task], + verbose=True + ) + + result = crew.kickoff() + return result + + +class planner_cli: + def ask(self): + print("## Welcome to Trip Planner Crew") + print('-------------------------------') + location = input( + dedent(""" + From where will you be traveling from? + """)) + cities = input( + dedent(""" + What are the cities options you are interested in visiting? + """)) + date_range = input( + dedent(""" + What is the date range you are interested in traveling? + """)) + interests = input( + dedent(""" + What are some of your high level interests and hobbies? + """)) + + trip_crew = TripCrew(location, cities, date_range, interests) + result = trip_crew.run() + print("\n\n########################") + print("## Here is you Trip Plan") + print("########################\n") + print(result) diff --git a/installer/client/cli/agents/trip_planner/tools/__init__.py b/installer/client/cli/agents/trip_planner/tools/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/installer/client/cli/agents/trip_planner/tools/browser_tools.py b/installer/client/cli/agents/trip_planner/tools/browser_tools.py new file mode 100644 index 0000000..36a10a9 --- /dev/null +++ b/installer/client/cli/agents/trip_planner/tools/browser_tools.py @@ -0,0 +1,38 @@ +import json +import os + +import requests +from crewai import Agent, Task +from langchain.tools import tool +from unstructured.partition.html import partition_html + + +class BrowserTools(): + + @tool("Scrape website content") + def scrape_and_summarize_website(website): + """Useful to scrape and summarize a website content""" + url = f"https://chrome.browserless.io/content?token={os.environ['BROWSERLESS_API_KEY']}" + payload = json.dumps({"url": website}) + headers = {'cache-control': 'no-cache', 'content-type': 'application/json'} + response = requests.request("POST", url, headers=headers, data=payload) + elements = partition_html(text=response.text) + content = "\n\n".join([str(el) for el in elements]) + content = [content[i:i + 8000] for i in range(0, len(content), 8000)] + summaries = [] + for chunk in content: + agent = Agent( + role='Principal Researcher', + goal= + 'Do amazing researches and summaries based on the content you are working with', + backstory= + "You're a Principal Researcher at a big company and you need to do a research about a given topic.", + allow_delegation=False) + task = Task( + agent=agent, + description= + f'Analyze and summarize the content bellow, make sure to include the most relevant information in the summary, return only the summary nothing else.\n\nCONTENT\n----------\n{chunk}' + ) + summary = task.execute() + summaries.append(summary) + return "\n\n".join(summaries) diff --git a/installer/client/cli/agents/trip_planner/tools/calculator_tools.py b/installer/client/cli/agents/trip_planner/tools/calculator_tools.py new file mode 100644 index 0000000..51f0066 --- /dev/null +++ b/installer/client/cli/agents/trip_planner/tools/calculator_tools.py @@ -0,0 +1,15 @@ +from langchain.tools import tool + +class CalculatorTools(): + + @tool("Make a calculation") + def calculate(operation): + """Useful to perform any mathematical calculations, + like sum, minus, multiplication, division, etc. + The input to this tool should be a mathematical + expression, a couple examples are `200*7` or `5000/2*10` + """ + try: + return eval(operation) + except SyntaxError: + return "Error: Invalid syntax in mathematical expression" diff --git a/installer/client/cli/agents/trip_planner/tools/search_tools.py b/installer/client/cli/agents/trip_planner/tools/search_tools.py new file mode 100644 index 0000000..5c1d0ae --- /dev/null +++ b/installer/client/cli/agents/trip_planner/tools/search_tools.py @@ -0,0 +1,37 @@ +import json +import os + +import requests +from langchain.tools import tool + + +class SearchTools(): + + @tool("Search the internet") + def search_internet(query): + """Useful to search the internet + about a a given topic and return relevant results""" + top_result_to_return = 4 + url = "https://google.serper.dev/search" + payload = json.dumps({"q": query}) + headers = { + 'X-API-KEY': os.environ['SERPER_API_KEY'], + 'content-type': 'application/json' + } + response = requests.request("POST", url, headers=headers, data=payload) + # check if there is an organic key + if 'organic' not in response.json(): + return "Sorry, I couldn't find anything about that, there could be an error with you serper api key." + else: + results = response.json()['organic'] + string = [] + for result in results[:top_result_to_return]: + try: + string.append('\n'.join([ + f"Title: {result['title']}", f"Link: {result['link']}", + f"Snippet: {result['snippet']}", "\n-----------------" + ])) + except KeyError: + next + + return '\n'.join(string) diff --git a/installer/client/cli/agents/trip_planner/trip_agents.py b/installer/client/cli/agents/trip_planner/trip_agents.py new file mode 100644 index 0000000..0ca9e2f --- /dev/null +++ b/installer/client/cli/agents/trip_planner/trip_agents.py @@ -0,0 +1,45 @@ +from crewai import Agent + +from .tools.browser_tools import BrowserTools +from .tools.calculator_tools import CalculatorTools +from .tools.search_tools import SearchTools + + +class TripAgents(): + + def city_selection_agent(self): + return Agent( + role='City Selection Expert', + goal='Select the best city based on weather, season, and prices', + backstory='An expert in analyzing travel data to pick ideal destinations', + tools=[ + SearchTools.search_internet, + BrowserTools.scrape_and_summarize_website, + ], + verbose=True) + + def local_expert(self): + return Agent( + role='Local Expert at this city', + goal='Provide the BEST insights about the selected city', + backstory="""A knowledgeable local guide with extensive information + about the city, it's attractions and customs""", + tools=[ + SearchTools.search_internet, + BrowserTools.scrape_and_summarize_website, + ], + verbose=True) + + def travel_concierge(self): + return Agent( + role='Amazing Travel Concierge', + goal="""Create the most amazing travel itineraries with budget and + packing suggestions for the city""", + backstory="""Specialist in travel planning and logistics with + decades of experience""", + tools=[ + SearchTools.search_internet, + BrowserTools.scrape_and_summarize_website, + CalculatorTools.calculate, + ], + verbose=True) diff --git a/installer/client/cli/agents/trip_planner/trip_tasks.py b/installer/client/cli/agents/trip_planner/trip_tasks.py new file mode 100644 index 0000000..8b3181e --- /dev/null +++ b/installer/client/cli/agents/trip_planner/trip_tasks.py @@ -0,0 +1,83 @@ +from crewai import Task +from textwrap import dedent +from datetime import date + + +class TripTasks(): + + def identify_task(self, agent, origin, cities, interests, range): + return Task(description=dedent(f""" + Analyze and select the best city for the trip based + on specific criteria such as weather patterns, seasonal + events, and travel costs. This task involves comparing + multiple cities, considering factors like current weather + conditions, upcoming cultural or seasonal events, and + overall travel expenses. + + Your final answer must be a detailed + report on the chosen city, and everything you found out + about it, including the actual flight costs, weather + forecast and attractions. + {self.__tip_section()} + + Traveling from: {origin} + City Options: {cities} + Trip Date: {range} + Traveler Interests: {interests} + """), + agent=agent) + + def gather_task(self, agent, origin, interests, range): + return Task(description=dedent(f""" + As a local expert on this city you must compile an + in-depth guide for someone traveling there and wanting + to have THE BEST trip ever! + Gather information about key attractions, local customs, + special events, and daily activity recommendations. + Find the best spots to go to, the kind of place only a + local would know. + This guide should provide a thorough overview of what + the city has to offer, including hidden gems, cultural + hotspots, must-visit landmarks, weather forecasts, and + high level costs. + + The final answer must be a comprehensive city guide, + rich in cultural insights and practical tips, + tailored to enhance the travel experience. + {self.__tip_section()} + + Trip Date: {range} + Traveling from: {origin} + Traveler Interests: {interests} + """), + agent=agent) + + def plan_task(self, agent, origin, interests, range): + return Task(description=dedent(f""" + Expand this guide into a a full 7-day travel + itinerary with detailed per-day plans, including + weather forecasts, places to eat, packing suggestions, + and a budget breakdown. + + You MUST suggest actual places to visit, actual hotels + to stay and actual restaurants to go to. + + This itinerary should cover all aspects of the trip, + from arrival to departure, integrating the city guide + information with practical travel logistics. + + Your final answer MUST be a complete expanded travel plan, + formatted as markdown, encompassing a daily schedule, + anticipated weather conditions, recommended clothing and + items to pack, and a detailed budget, ensuring THE BEST + TRIP EVER, Be specific and give it a reason why you picked + # up each place, what make them special! {self.__tip_section()} + + Trip Date: {range} + Traveling from: {origin} + Traveler Interests: {interests} + """), + agent=agent) + + def __tip_section(self): + return "If you do your BEST WORK, I'll tip you $100!" \ No newline at end of file diff --git a/installer/client/cli/fabric.py b/installer/client/cli/fabric.py index ff6ad7f..f6da858 100755 --- a/installer/client/cli/fabric.py +++ b/installer/client/cli/fabric.py @@ -1,4 +1,4 @@ -from .utils import Standalone, Update, Setup, Alias +from .utils import Standalone, Update, Setup, Alias, AgentSetup import argparse import sys import time @@ -16,6 +16,12 @@ def main(): parser.add_argument( "--copy", "-C", help="Copy the response to the clipboard", action="store_true" ) + subparsers = parser.add_subparsers(dest='command', help='Sub-command help') + agents_parser = subparsers.add_parser('agents', help='Crew command help') + agents_parser.add_argument( + "trip_planner", help="The origin city for the trip") + agents_parser.add_argument( + 'ApiKeys', help="enter API keys for tools", action="store_true") parser.add_argument( "--output", "-o", @@ -67,6 +73,20 @@ def main(): Update() Alias() sys.exit() + if args.command == "agents": + from .agents.trip_planner.main import planner_cli + if args.ApiKeys: + AgentSetup().apiKeys() + sys.exit() + if not args.trip_planner: + print("Please provide an agent") + print(f"Available Agents:") + for agent in tripcrew.agents: + print(agent) + else: + tripcrew = planner_cli() + tripcrew.ask() + sys.exit() if args.update: Update() Alias() diff --git a/installer/client/cli/utils.py b/installer/client/cli/utils.py index 51896f0..d8cbbb2 100644 --- a/installer/client/cli/utils.py +++ b/installer/client/cli/utils.py @@ -400,3 +400,32 @@ class Transcribe: except Exception as e: print("Error:", e) return None + + +class AgentSetup: + def apiKeys(self): + """Method to set the API keys in the environment file. + + Returns: + None + """ + + print("Welcome to Fabric. Let's get started.") + browserless = input("Please enter your Browserless API key\n") + serper = input("Please enter your Serper API key\n") + + # Entries to be added + browserless_entry = f"BROWSERLESS_API_KEY={browserless}" + serper_entry = f"SERPER_API_KEY={serper}" + + # Check and write to the file + with open(env_file, "r+") as f: + content = f.read() + + # Determine if the file ends with a newline + if content.endswith('\n'): + # If it ends with a newline, we directly write the new entries + f.write(f"{browserless_entry}\n{serper_entry}\n") + else: + # If it does not end with a newline, add one before the new entries + f.write(f"\n{browserless_entry}\n{serper_entry}\n") diff --git a/poetry.lock b/poetry.lock index fb924eb..0d7ebf1 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,5 +1,115 @@ # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +[[package]] +name = "aiohttp" +version = "3.9.3" +description = "Async http client/server framework 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