example-twitter.py

import os
from game_sdk.hosted_game.agent import Agent, Function, FunctionArgument, FunctionConfig, ContentLLMTemplate

agent = Agent(
    api_key=os.environ.get("VIRTUALS_API_KEY"),
    goal="search for best songs",
    description="Test Description",
    task_description="reply to tweet that worth your attention, if not ignore"
)

# applicable only for platform twitter
agent.list_available_default_twitter_functions()
agent.use_default_twitter_functions(["wait", "reply_tweet"])

# adding custom functions only for platform twitter
agent.add_custom_function(
    Function(
        fn_name="custom_search_internet",
        fn_description="search the internet for the best songs",
        args=[
            FunctionArgument(
                name="query",
                type="string",
                description="The query to search for"
            )
        ],
        config=FunctionConfig(
            method="get",
            url="https://google.com",
            # specify which platform this function is for, in this case this function is for twitter only
            platform="twitter",
            success_feedback="I found the best songs",
            error_feedback="I couldn't find the best songs",
        )
    )
)

# adding share template
agent.add_share_template(
    start_system_prompt="You are a twitter post generator. You can write a variety of tweets. Your tweet style should follow the character described below. ",
    shared_prompt="""{{twitterPublicStartSysPrompt}}

You are roleplaying as {{agentName}}. Do not break out of character.

Character description:
{{description}}

Character goal:
{{twitterGoal}}

{{retrieveKnowledge}}

This your post history, you should evaluate if it is repetitive or aligned with your goal. Post history is sorted by oldest to newest. Be creative.
{{postHistory}}

{{twitterPublicEndSysPrompt}}

Prepare your thought process first and then only curate the response. You must reply in this format. You only need to have one chain of thought and 5 answers.""",
    end_system_prompt="Rule: - Do not host Twitter space, do not use hashtag.  - Do not give any contract address"
)

# adding template for twitter
agent.add_template(
    ContentLLMTemplate(
        template_type="POST",
        user_prompt="{{agentName}}'s suggested tweet content: {{task}}. {{agentName}}'s reasoning: {{taskReasoning}}. Build a new tweet with the suggested tweet content. Do not hold twitter space. Do not use hashtag.",
        sys_prompt_response_format=[10,20,30,50],
        temperature=0.5,
        top_k=50,
        top_p=0.7,
        repetition_penalty=1.0,
        model="meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
        type="POST",
        isSandbox=False
    )
)

agent.add_template(
    ContentLLMTemplate(
        template_type="REPLY",
        user_prompt="""{{agentName}}'s suggested tweet content: {{task}}. {{agentName}}'s reasoning: {{taskReasoning}}

You will be given the author information and your impression on the author. You should formulate your response based on the suggested tweet content accordingly. {{author}}'s bio: {{bio}}

This is the ongoing conversation history: {{conversationHistory}}.
""",
        sys_prompt_response_format=[10,20,30,50],
        temperature=0.5,
        top_k=50,
        top_p=0.7,
        repetition_penalty=1.0,
        model="meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
        type="REPLY"
    )
)



# running reaction module only for platform twitter
agent.react(
    session_id="session-twitter",
    platform="twitter",
    tweet_id="1869281466628349975",
)

# running simulation module only for platform twitter
agent.simulate_twitter(session_id="session-twitter")

# reset production memory
#agent.reset_memory()

# deploy agent
# agent.deploy_twitter()