diff --git a/.github/workflows/ci-tests.yml b/.github/workflows/ci-tests.yml index 084ca5c0..851e370d 100644 --- a/.github/workflows/ci-tests.yml +++ b/.github/workflows/ci-tests.yml @@ -4,10 +4,16 @@ on: push: branches: - main + paths: + - "python/**" + - ".github/**" pull_request: branches: - main + paths: + - "python/**" + - ".github/**" jobs: tests: @@ -15,6 +21,7 @@ jobs: defaults: run: shell: bash + working-directory: ./python strategy: matrix: os: [ubuntu-latest] @@ -57,6 +64,10 @@ jobs: linting: name: Lint & Formatting + defaults: + run: + shell: bash + working-directory: ./python runs-on: ubuntu-latest strategy: matrix: diff --git a/.gitignore b/.gitignore index cc34e569..02b80bcc 100644 --- a/.gitignore +++ b/.gitignore @@ -2,4 +2,5 @@ *.py[cgo] __pycache__ *.json - +dist/ +*.sqlite3 diff --git a/README.md b/README.md index b137e222..ed505903 100644 --- a/README.md +++ b/README.md @@ -1,27 +1,8 @@ The **μAgents** (micro-Agents) project is a fast and lightweight framework that makes it easy to build agents for all kinds of decentralised use cases. -## Installation +## Python Library -Install μAgents for Python 3.8, 3.9, or 3.10: - -```bash -poetry install -poetry shell -``` - -## Documentation - -Build and run the docs locally with: - -```bash -mkdocs serve -``` - -Or go to the official docs site: https://docs.fetch.ai/uAgents. - -## Examples - -The [`examples`](https://github.com/fetchai/uAgents/tree/main/examples) folder contains several examples of how to create and run various types of agents. +Go to the [`python`](https://github.com/fetchai/uAgents/tree/main/python) folder for details on the Python uAgents library. ## Contributing @@ -38,4 +19,3 @@ We use [GitHub Issues](https://github.com/fetchai/uAgents/issues) for tracking r ## License The μAgents project is licensed under [Apache License 2.0](https://github.com/fetchai/uAgents/blob/main/LICENSE). - diff --git a/integrations/fetch-holiday/README.md b/integrations/fetch-holiday/README.md new file mode 100644 index 00000000..a6d2c63c --- /dev/null +++ b/integrations/fetch-holiday/README.md @@ -0,0 +1,94 @@ +# uAgent Holiday integrations Examples +### Step 1: Prerequisites +Before starting, you'll need the following: +* Python (3.8+ is recommended) +* Poetry (a packaging and dependency management tool for Python) + +### Step 2: Set up .env file +To run the demo, you need API keys from: +* RapidAPI +* OpenAI +* SerpAPI + +##### RapidAPI Key +* Visit RapidAPI. +* Sign up or log in. +* Search for the Skyscanner API and subscribe. +* Once subscribed, copy your X-RapidAPI-Key + +##### OpenAI API Key +* Visit OpenAI. +* Sign up or log in. +* Navigate to the API section to obtain your API key. + +Note that if you’ve run out of OpenAI credits, you will not be able to get results for this example. + +##### SerpAPI Key + +* Visit SerpAPI. +* Sign up or log in. +* Your API key will be available on the dashboard. + +Once you have all three keys, create a .env file in the holiday-integrations/src directory. +```bash +export RAPIDAPI_API_KEY="{GET THE API KEY}" +export OPENAI_API_KEY="{GET THE API KEY}" +export SERPAPI_API_KEY="{GET THE API KEY}" +``` +To use the environment variables from .env and install the project: +```bash +cd src +source .env +poetry intall +``` +### Step 3: Run the main script +To run the project and its agents: +```bash +poetry run python main.py +``` +You need to look for the following output in the logs: +``` +Adding top destinations agent to Bureau: {top_dest_address} +``` +Copy the {top_dest_address} value and paste it somewhere safe. You will need it in the next step. +### Step 4: Set up the client script +Now that we have set up the integrations, let’s run a client script that will showcase the ‘top destinations’. To do this, create a new Python file in the src folder called top_dest_client.py, and paste the following: +```python +from messages import TopDestinations, UAgentResponse +from uagents import Agent, Context +from uagents.setup import fund_agent_if_low +import os +​ +TOP_DESTINATIONS_CLIENT_SEED = os.getenv("TOP_DESTINATIONS_CLIENT_SEED", "top_destinations_client really secret phrase :)") +​ +top_dest_client = Agent( + name="top_destinations_client", + port=8008, + seed=TOP_DESTINATIONS_CLIENT_SEED, + endpoint=["http://127.0.0.1:8008/submit"], +) +fund_agent_if_low(top_dest_client.wallet.address()) +​ +top_dest_request = TopDestinations(preferences="new york") +​ +@top_dest_client.on_interval(period=10.0) +async def send_message(ctx: Context): + await ctx.send("{top_dest_address}", top_dest_request) +​ +@top_dest_client.on_message(model=UAgentResponse) +async def message_handler(ctx: Context, _: str, msg: UAgentResponse): + ctx.logger.info(f"Received top destination options from: {msg.options}") +​ +if __name__ == "__main__": + top_dest_client.run() +``` +Remember to replace the address in ctx.send with the value you received in the previous step. + +This code sends a request to get the top destinations (in this example, from New York). To do this, it sends a request to the ‘top destinations agent’ every 10 seconds and displays the options in the console. +### Step 5: Run the client script +Open a new terminal (let the previous one be as is), and navigate to the src folder to run the client. +```bash +cd src +poetry run python top_dest_client.py +``` +Once you hit enter, a request will be sent to the top destinations agent every 10 seconds, and you will be able to see your results in the console! \ No newline at end of file diff --git a/integrations/fetch-holiday/poetry.lock b/integrations/fetch-holiday/poetry.lock new file mode 100644 index 00000000..932ebdf5 --- /dev/null +++ b/integrations/fetch-holiday/poetry.lock @@ -0,0 +1,2337 @@ +# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. + +[[package]] +name = "aiohttp" +version = "3.8.4" +description = "Async http client/server framework (asyncio)" +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + 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a/integrations/fetch-holiday/pyproject.toml b/integrations/fetch-holiday/pyproject.toml new file mode 100644 index 00000000..430db01d --- /dev/null +++ b/integrations/fetch-holiday/pyproject.toml @@ -0,0 +1,16 @@ +[tool.poetry] +name = "holiday-integrations" +version = "0.1.0" +description = "A starter template for creating holiday integration examples" +authors = ["Fetch.AI Limited"] + +[tool.poetry.dependencies] +python = ">=3.10,<3.12" +google-search-results = "^2.4.2" +langchain = "^0.0.149" +openai = "^0.27.4" +uagents = "*" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/examples/09-booking-protocol-demo/protocols/__init__.py b/integrations/fetch-holiday/src/__init__.py similarity index 100% rename from examples/09-booking-protocol-demo/protocols/__init__.py rename to integrations/fetch-holiday/src/__init__.py diff --git a/examples/10-cleaning-demo/protocols/__init__.py b/integrations/fetch-holiday/src/agents/__init__.py similarity index 100% rename from examples/10-cleaning-demo/protocols/__init__.py rename to integrations/fetch-holiday/src/agents/__init__.py diff --git a/src/uagents/contrib/__init__.py b/integrations/fetch-holiday/src/agents/activities/__init__.py similarity index 100% rename from src/uagents/contrib/__init__.py rename to integrations/fetch-holiday/src/agents/activities/__init__.py diff --git a/integrations/fetch-holiday/src/agents/activities/top_activities.py b/integrations/fetch-holiday/src/agents/activities/top_activities.py new file mode 100644 index 00000000..5aac491d --- /dev/null +++ b/integrations/fetch-holiday/src/agents/activities/top_activities.py @@ -0,0 +1,62 @@ +from langchain.chat_models import ChatOpenAI +from langchain.agents import load_tools +from langchain.agents import initialize_agent +from langchain.output_parsers import CommaSeparatedListOutputParser +from langchain.prompts import PromptTemplate +from messages import UAgentResponse, UAgentResponseType, TopActivities, KeyValue +from uagents import Agent, Context, Protocol +from uagents.setup import fund_agent_if_low +import os + + +TOP_ACTIVITIES_SEED = os.getenv("TOP_ACTIVITIES_SEED", "top_activities really secret phrase :)") + +agent = Agent( + name="top_activities", + seed=TOP_ACTIVITIES_SEED +) + +fund_agent_if_low(agent.wallet.address()) + +output_parser = CommaSeparatedListOutputParser() +format_instructions = output_parser.get_format_instructions() +prompt = PromptTemplate( + template=""" + You are an expert AI in suggesting travel, holiday activities based on the date and city specified in user input.\n + The question that SerpAPI has to answer: What are the top 5 tourist activities in {city} on {date}?\n + {preferred_activities_str}\n + You should find tourist attractions and programs which are available exactly on the specified date.\n + {format_instructions}""", + input_variables=["city", "date", "preferred_activities_str"], + partial_variables={"format_instructions": format_instructions} +) + +llm = ChatOpenAI(temperature=0.1) +tools = load_tools(["serpapi"], llm=llm) +langchain_agent = initialize_agent(tools, llm, agent="chat-zero-shot-react-description", verbose=True) + +top_activities_protocol = Protocol("TopActivities") + +@top_activities_protocol.on_message(model=TopActivities, replies=UAgentResponse) +async def get_top_activity(ctx: Context, sender: str, msg: TopActivities): + ctx.logger.info(f"Received message from {sender}, session: {ctx.session}") + + preferred_activities_str = f"You should only offer programs and activities related to {msg.preferred_activities}" if msg.preferred_activities else "" + _input = prompt.format(city=msg.city, date=msg.date, preferred_activities_str = preferred_activities_str) + try: + output = await langchain_agent.arun(_input) + result = output_parser.parse(output) + options = list(map(lambda x: KeyValue(key=x, value=x), result)) + ctx.logger.info(f"Agent executed and got following result: {result}. Mapped to options: {options}") + await ctx.send( + sender, + UAgentResponse( + options=options, + type=UAgentResponseType.FINAL_OPTIONS, + ) + ) + except Exception as exc: + ctx.logger.warn(exc) + await ctx.send(sender, UAgentResponse(message=str(exc), type=UAgentResponseType.ERROR)) + +agent.include(top_activities_protocol) diff --git a/src/uagents/contrib/protocols/__init__.py b/integrations/fetch-holiday/src/agents/destinations/__init__.py similarity index 100% rename from src/uagents/contrib/protocols/__init__.py rename to integrations/fetch-holiday/src/agents/destinations/__init__.py diff --git a/integrations/fetch-holiday/src/agents/destinations/top_destinations.py b/integrations/fetch-holiday/src/agents/destinations/top_destinations.py new file mode 100644 index 00000000..03181c85 --- /dev/null +++ b/integrations/fetch-holiday/src/agents/destinations/top_destinations.py @@ -0,0 +1,53 @@ +from uagents import Agent, Context, Protocol +from messages import TopDestinations, UAgentResponse, UAgentResponseType, KeyValue +from uagents.setup import fund_agent_if_low +from utils.llm import get_llm +import os + + +TOP_DESTINATIONS_SEED = os.getenv("TOP_DESTINATIONS_SEED", "top_destinations really secret phrase :)") + +agent = Agent( + name="top_destinations", + seed=TOP_DESTINATIONS_SEED +) + +fund_agent_if_low(agent.wallet.address()) + +llm = get_llm() +top_destinations_protocol = Protocol("TopDestinations") + +@top_destinations_protocol.on_message(model=TopDestinations, replies=UAgentResponse) +async def get_top_destinations(ctx: Context, sender: str, msg: TopDestinations): + ctx.logger.info(f"Received message from {sender}, session: {ctx.session}") + prompt = f"""You are an expert AI in suggesting travel, holiday destination based on some user input. +User input might not be provided, in which case suggest popular destinations. +If user input is present, then suggest destinations based on user input. +The response should be a list of destinations, each destination should have information about why it is a good destination. +After listing all the suggestions say END. Every destination should be separated by a new line. + +Example: +User input: I want to go to a place with good weather and beaches. +Response: +1. Goa, India. Goa is a popular destination for tourists. It has good weather and beaches. +2. Malé, Maldives. Maldives is a popular destination for tourists. It has good weather and beaches. +END + +User preferences: {msg.preferences} +""" + try: + response = await llm.complete("", prompt, "Response:", max_tokens=500, stop=["END"]) + result = response.strip() + result = result.split("\n") + await ctx.send( + sender, + UAgentResponse( + options=list(map(lambda x: KeyValue(key=x, value=x), result)), + type=UAgentResponseType.FINAL_OPTIONS + ) + ) + except Exception as exc: + ctx.logger.warn(exc) + await ctx.send(sender, UAgentResponse(message=str(exc), type=UAgentResponseType.ERROR)) + +agent.include(top_destinations_protocol) diff --git a/integrations/fetch-holiday/src/agents/flights/__init__.py b/integrations/fetch-holiday/src/agents/flights/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/integrations/fetch-holiday/src/agents/flights/flights.py b/integrations/fetch-holiday/src/agents/flights/flights.py new file mode 100644 index 00000000..a5ac8d10 --- /dev/null +++ b/integrations/fetch-holiday/src/agents/flights/flights.py @@ -0,0 +1,113 @@ +from uagents import Agent, Context, Protocol +from uagents.setup import fund_agent_if_low +import requests +from messages import Flights, UAgentResponse, UAgentResponseType, KeyValue +import os +import uuid + + +FLIGHTS_SEED = os.getenv("FLIGHTS_SEED", "flights really secret phrase :)") + +agent = Agent( + name="flights_adaptor", + seed=FLIGHTS_SEED +) + +fund_agent_if_low(agent.wallet.address()) + +RAPIDAPI_API_KEY = os.environ.get("RAPIDAPI_API_KEY", "") + +assert RAPIDAPI_API_KEY, "RAPIDAPI_API_KEY environment variable is missing from .env" + +SKY_SCANNER_URL = "https://skyscanner-api.p.rapidapi.com/v3e/flights/live/search/synced" +headers = { + "content-type": "application/json", + "X-RapidAPI-Key": RAPIDAPI_API_KEY, + "X-RapidAPI-Host": "skyscanner-api.p.rapidapi.com" + } + +def skyscanner_format_data(data): + r = data["content"]["results"] + carriers = r["carriers"] + itineraries = r["itineraries"] + segments = r["segments"] + sorted_itineraries = data["content"]["sortingOptions"]["cheapest"] + results = [] + for o in sorted_itineraries: + _id = o["itineraryId"] + it = itineraries[_id] + for option in it["pricingOptions"]: + price = option["price"]["amount"] + if len(option["items"]) != 1: + continue + fares = option["items"][0]["fares"] + if len(fares) != 1: + continue + segment_id = fares[0]["segmentId"] + seg = segments[segment_id] + carrier = carriers[seg["marketingCarrierId"]] + duration = seg["durationInMinutes"] + departure = seg["departureDateTime"] + arrival = seg["arrivalDateTime"] + results.append({ + "price": price, + "duration": duration, + "departure": departure, + "arrival": arrival, + "carrier": carrier + }) + return results + +def skyscanner_top5(fares): + return [fares[i] for i in range(len(fares)) if i < 5] + +flights_protocol = Protocol("Flights") + +@flights_protocol.on_message(model=Flights, replies={UAgentResponse}) +async def flight_offers(ctx: Context, sender: str, msg: Flights): + ctx.logger.info(f"Received message from {sender}, session: {ctx.session}") + + dept_year, dept_month, dept_day = msg.date.split("-") + payload = { + "query": { + "market": "UK", + "locale": "en-GB", + "currency": "GBP", + "queryLegs": [ + { + "originPlaceId": {"iata": msg.from_}, + "destinationPlaceId": {"iata": msg.to}, + "date": { + "year": int(dept_year), + "month": int(dept_month), + "day": int(dept_day) + } + } + ], + "cabinClass": "CABIN_CLASS_ECONOMY", + "adults": msg.persons + } + } + print("CALLING SKYSCANNER, payload ", payload) + try: + response = requests.request("POST", SKY_SCANNER_URL, json=payload, headers=headers) + if response.status_code != 200: + print("SKYSCANNER STATUS CODE not 200: ", response.json()) + await ctx.send(sender, UAgentResponse(message=response.text, type=UAgentResponseType.ERROR)) + return + formatted = skyscanner_format_data(response.json()) + top5 = skyscanner_top5(formatted) + print("SKYSCANNER TOP5 RESPONSE: ", top5) + request_id = str(uuid.uuid4()) + options = [] + for idx, o in enumerate(top5): + dep = f"{o['departure']['hour']:02}:{o['departure']['minute']:02}" + arr = f"{o['arrival']['hour']:02}:{o['arrival']['minute']:02}" + option = f"""{o["carrier"]["name"]} for £{o['price']}, {dep} - {arr}, flight time {o['duration']} min""" + options.append(KeyValue(key=idx, value=option)) + await ctx.send(sender, UAgentResponse(options=options, type=UAgentResponseType.SELECT_FROM_OPTIONS, request_id=request_id)) + except Exception as exc: + ctx.logger.error(exc) + await ctx.send(sender, UAgentResponse(message=str(exc), type=UAgentResponseType.ERROR)) + +agent.include(flights_protocol) diff --git a/integrations/fetch-holiday/src/main.py b/integrations/fetch-holiday/src/main.py new file mode 100644 index 00000000..4372fbdd --- /dev/null +++ b/integrations/fetch-holiday/src/main.py @@ -0,0 +1,16 @@ +from uagents import Bureau + +from agents.activities.top_activities import agent as top_activities_agent +from agents.destinations.top_destinations import agent as top_destinations_agent +from agents.flights.flights import agent as flights_agent + + +if __name__ == "__main__": + bureau = Bureau(endpoint="http://127.0.0.1:8000/submit", port=8000) + print(f"Adding top activities agent to Bureau: {top_activities_agent.address}") + bureau.add(top_activities_agent) + print(f"Adding top destinations agent to Bureau: {top_destinations_agent.address}") + bureau.add(top_destinations_agent) + print(f"Adding flights agent to Bureau: {flights_agent.address}") + bureau.add(flights_agent) + bureau.run() \ No newline at end of file diff --git a/integrations/fetch-holiday/src/messages/__init__.py b/integrations/fetch-holiday/src/messages/__init__.py new file mode 100644 index 00000000..6e6714e3 --- /dev/null +++ b/integrations/fetch-holiday/src/messages/__init__.py @@ -0,0 +1,4 @@ +from .flight import Flights +from .top_destinations import TopDestinations +from .top_activities import TopActivities +from .general import * \ No newline at end of file diff --git a/integrations/fetch-holiday/src/messages/flight.py b/integrations/fetch-holiday/src/messages/flight.py new file mode 100644 index 00000000..01f802e5 --- /dev/null +++ b/integrations/fetch-holiday/src/messages/flight.py @@ -0,0 +1,15 @@ +from uagents import Model +from pydantic import Field +from typing import Optional + +class Flights(Model): + from_: str = Field(alias="from", description="This field is the airport IATA code for of the airport from where the user wants to fly from. This should be airport IATA code. IATA airport code is a three-character alphanumeric geocode.") + to: str = Field(description="This field is the airport IATA code of the destination airport! This should be airport IATA code. IATA airport code is a three-character alphanumeric geocode.") + trip: Optional[str] = Field(description="This can be oneway or return") + date: str = Field(description="Contains the date of flying out.") + back_date: Optional[str] = Field(description="Optional field only for return flight. This is the date when the user wants to fly back") + route: Optional[int] = Field(description="Selects the maximum number of stops, 0 means direct flight, 1 means with maximum 1 stop.") + persons: int = Field(description="Describes how many persons are going to fly.") + + class Config: + allow_population_by_field_name = True diff --git a/integrations/fetch-holiday/src/messages/general.py b/integrations/fetch-holiday/src/messages/general.py new file mode 100644 index 00000000..68ee3c35 --- /dev/null +++ b/integrations/fetch-holiday/src/messages/general.py @@ -0,0 +1,25 @@ +from uagents import Model +from enum import Enum +from typing import Optional, List + +class UAgentResponseType(Enum): + ERROR = "error" + SELECT_FROM_OPTIONS = "select_from_options" + FINAL_OPTIONS = "final_options" + +class KeyValue(Model): + key: str + value: str + +class UAgentResponse(Model): + type: UAgentResponseType + agent_address: Optional[str] + message: Optional[str] + options: Optional[List[KeyValue]] + request_id: Optional[str] + +class BookingRequest(Model): + request_id: str + user_response: str + user_email: str + user_full_name: str diff --git a/integrations/fetch-holiday/src/messages/top_activities.py b/integrations/fetch-holiday/src/messages/top_activities.py new file mode 100644 index 00000000..c04baff5 --- /dev/null +++ b/integrations/fetch-holiday/src/messages/top_activities.py @@ -0,0 +1,8 @@ +from uagents import Model +from typing import Optional +from pydantic import Field + +class TopActivities(Model): + city: str = Field(description="Describes the city where we want to go and find activity, for example: London. This shouldn't be based on user current location, but the city where user wants to go.") + date: str = Field(description="Describes which date user wants to find top activities in given city") + preferred_activities: Optional[str] = Field(description="Describes what activities the user prefers. It is optional") diff --git a/integrations/fetch-holiday/src/messages/top_destinations.py b/integrations/fetch-holiday/src/messages/top_destinations.py new file mode 100644 index 00000000..8cfa8246 --- /dev/null +++ b/integrations/fetch-holiday/src/messages/top_destinations.py @@ -0,0 +1,6 @@ +from uagents import Model +from pydantic import Field + +class TopDestinations(Model): + preferences: str = Field(description="The field expresses what the user prefer. Can be left empty. For example: 'beach', 'mountains, rivers', 'city', etc.") + diff --git a/integrations/fetch-holiday/src/utils/llm.py b/integrations/fetch-holiday/src/utils/llm.py new file mode 100644 index 00000000..ea00f872 --- /dev/null +++ b/integrations/fetch-holiday/src/utils/llm.py @@ -0,0 +1,79 @@ +import openai +import time +from typing import List +import os + + +class OpenAILLM: + def __init__(self, + completion_model: str = "text-davinci-003", + embedding_model: str = "text-embedding-ada-002" + ): + self.completion_model = completion_model + self.embedding_model = embedding_model + self.usage_counter = None + + async def embedding(self, text: str) -> str: + text = text.replace("\n", " ") + emb = await openai.Embedding.acreate(input=[text], model=self.embedding_model) + if self.usage_counter: + await self.usage_counter.add_embedding_usage(emb["usage"]) + return emb["data"][0]["embedding"] + + async def complete( + self, + header: str, + prompt: str, + complete: str, + temperature: float = 0.5, + max_tokens: int = 100, + stop: List[str] = None, + ) -> str: + try: + if self.completion_model != "gpt-4" and self.completion_model.find("gpt-3.5") == -1: + #Call GPT-3 DaVinci model + response = await openai.Completion.acreate( + engine=self.completion_model, + prompt=header+prompt+complete, + temperature=temperature, + max_tokens=max_tokens, + top_p=1, + frequency_penalty=0, + presence_penalty=0, + stop=stop + ) + if self.usage_counter: + await self.usage_counter.add_completion_usage(response.usage) + return response.choices[0].text.strip() + else: + #Call GPT-4/gpt-3.5 chat model + messages=[{"role": "system", "content": header}, {"role": "user", "content": prompt}, {"role": "assistant", "content": complete}] + response = await openai.ChatCompletion.acreate( + model=self.completion_model, + messages = messages, + temperature=temperature, + max_tokens=max_tokens, + n=1, + stop=stop, + ) + if self.usage_counter: + await self.usage_counter.add_completion_usage(response.usage) + return response.choices[0].message.content.strip() + except openai.InvalidRequestError as err: + print("openai_call InvalidRequestError: ", err) + print("\n\n§§§§§§§§§§§§§§§§§§§§§§§§§§§§PROMPT§§§§§§§§§§§§§§§§§§§§§§§§§§§§") + print(prompt) + print("§§§§§§§§§§§§§§§§§§§§§§§§§§§§\n\n") + raise err + except Exception as err: + print("openai_call Exception: ", err) + print("Retry...") + time.sleep(2) + return await self.complete(header, prompt, complete, temperature, max_tokens, stop) + + +def get_llm(): + OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "") + if len(OPENAI_API_KEY) > 0: + openai.api_key = OPENAI_API_KEY + return OpenAILLM(completion_model="gpt-3.5-turbo") diff --git a/.pylintrc b/python/.pylintrc similarity index 100% rename from .pylintrc rename to python/.pylintrc diff --git a/python/README.md b/python/README.md new file mode 100644 index 00000000..e9e0cbdf --- /dev/null +++ b/python/README.md @@ -0,0 +1,22 @@ +## Installation (Python) + +Install μAgents for Python 3.8, 3.9, 3.10, or 3.11: + +```bash +poetry install +poetry shell +``` + +## Documentation + +Build and run the docs locally with: + +```bash +mkdocs serve +``` + +Or go to the official docs site: https://docs.fetch.ai/uAgents. + +## Examples + +The [`examples`](https://github.com/fetchai/uAgents/tree/main/python/examples) folder contains several examples of how to create and run various types of agents. \ No newline at end of file diff --git a/docs/addresses.md b/python/docs/addresses.md similarity index 100% rename from docs/addresses.md rename to python/docs/addresses.md diff --git a/docs/agent-protocols.md b/python/docs/agent-protocols.md similarity index 100% rename from docs/agent-protocols.md rename to python/docs/agent-protocols.md diff --git a/docs/almanac-endpoint.md b/python/docs/almanac-endpoint.md similarity index 100% rename from docs/almanac-endpoint.md rename to python/docs/almanac-endpoint.md diff --git a/docs/almanac-overview.md b/python/docs/almanac-overview.md similarity index 100% rename from docs/almanac-overview.md rename to python/docs/almanac-overview.md diff --git a/docs/almanac-registration.md b/python/docs/almanac-registration.md similarity index 100% rename from docs/almanac-registration.md rename to python/docs/almanac-registration.md diff --git a/docs/assets/images/favicon.ico b/python/docs/assets/images/favicon.ico similarity index 100% rename from docs/assets/images/favicon.ico rename to python/docs/assets/images/favicon.ico diff --git a/docs/assets/images/logo.png b/python/docs/assets/images/logo.png similarity index 100% rename from docs/assets/images/logo.png rename to python/docs/assets/images/logo.png diff --git a/docs/booking-demo.md b/python/docs/booking-demo.md similarity index 88% rename from docs/booking-demo.md rename to python/docs/booking-demo.md index 89559046..0164a468 100644 --- a/docs/booking-demo.md +++ b/python/docs/booking-demo.md @@ -32,7 +32,7 @@ restaurant = Agent( fund_agent_if_low(restaurant.wallet.address()) ``` -The protocols `query_proto` and `book_proto` are built from message handlers in the same way as agents. See [query protocol](https://github.com/fetchai/uAgents/blob/master/examples/09-booking-protocol-demo/protocols/query.py) and [book protocol](https://github.com/fetchai/uAgents/blob/master/examples/09-booking-protocol-demo/protocols/book.py) for the details and logic behind these protocols, but for now we will simply import them. You will need to add these files inside a `protocols` folder in the same directory you are running your agent. See [agent protocols](agent-protocols.md) for more information. +The protocols `query_proto` and `book_proto` are built from message handlers in the same way as agents. See [query protocol](https://github.com/fetchai/uAgents/blob/main/python/examples/09-booking-protocol-demo/protocols/query.py) and [book protocol](https://github.com/fetchai/uAgents/blob/main/python/examples/09-booking-protocol-demo/protocols/book.py) for the details and logic behind these protocols, but for now we will simply import them. You will need to add these files inside a `protocols` folder in the same directory you are running your agent. See [agent protocols](agent-protocols.md) for more information. Next we build the restaurant agent from these protocols and set the table availability information. ```python @@ -175,5 +175,5 @@ You should see this printed on the user terminal: Table reservation was successful -See the full example scripts at [restaurant](https://github.com/fetchai/uAgents/blob/master/examples/09-booking-protocol-demo/restaurant.py) and -[user](https://github.com/fetchai/uAgents/blob/master/examples/09-booking-protocol-demo/user.py). +See the full example scripts at [restaurant](https://github.com/fetchai/uAgents/blob/main/python/examples/09-booking-protocol-demo/restaurant.py) and +[user](https://github.com/fetchai/uAgents/blob/main/python/examples/09-booking-protocol-demo/user.py). diff --git a/docs/css/my-styles.css b/python/docs/css/my-styles.css similarity index 100% rename from docs/css/my-styles.css rename to python/docs/css/my-styles.css diff --git a/docs/css/termynal-fast.css b/python/docs/css/termynal-fast.css similarity index 100% rename from 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