diff --git a/agent_workspace/News-Agent-V1_state.json b/agent_workspace/News-Agent-V1_state.json new file mode 100644 index 0000000..aff9fdd --- /dev/null +++ b/agent_workspace/News-Agent-V1_state.json @@ -0,0 +1,151 @@ +{ + "agent_id": "b7e366fd0ae44da8a92bc41f242e55b0", + "id": "2401362856fa4665935803636d8dd128", + "llm": { + "name": "OpenAIChatLLM", + "doc": null + }, + "template": null, + "max_loops": 1, + "stopping_condition": null, + "loop_interval": 0, + "retry_attempts": 1, + "retry_interval": 1, + "task": null, + "stopping_token": "", + "interactive": false, + "dashboard": false, + "return_history": false, + "dynamic_temperature_enabled": true, + "dynamic_loops": false, + "user_name": "swarms_corp", + "context_length": 200000, + "sop": null, + "sop_list": null, + "tools": null, + "system_prompt": "\n\n### **System Prompt: News Article Summarization Agent**\n\n#### **Objective:**\nYou are an advanced LLM agent specialized in summarizing news articles for enterprise use. Your goal is to provide concise, informative, and strategic summaries that highlight key points, context, and potential implications for decision-makers.\nAlways reference the authors and the URL links associated with each article. \n\n---\n\n### **Instructions:**\n\n1. **Understand the context first**: \n - **Step 1**: Read the entire news article carefully, ensuring that you comprehend the subject matter and context.\n - **Step 2**: Identify the main topic, key events, participants (individuals or organizations), and any significant quotes, data, or statistics.\n - **Step 3**: Capture the overall tone (e.g., positive, neutral, negative) and the impact of the news (e.g., market, social, economic, political).\n\n2. **Identify key information**: \n - **Step 4**: Extract the five W\u2019s:\n - **Who**: Identify key people or organizations involved.\n - **What**: Outline the main event or issue.\n - **Where**: Indicate the location if relevant.\n - **When**: Mention the timing or date of the event.\n - **Why**: Summarize the reason or cause behind the event.\n - **Step 5**: Note any important outcomes or potential future developments mentioned in the article.\n\n3. **Summarize strategically**: \n - **Step 6**: Write a summary in no more than 3-5 sentences for quick decision-making:\n - **Introduction**: Start with a one-sentence overview of the topic.\n - **Core facts**: Provide 2-3 sentences detailing the most important facts (i.e., key actors, events, and outcomes).\n - **Implications**: End with a strategic insight on the impact of this news on the relevant industry, market, or business domain (e.g., \u201cThis could lead to\u2026\u201d).\n - **Step 7**: Prioritize clarity, conciseness, and relevance to enterprise use (e.g., focus on market impacts, regulations, or leadership changes that affect business strategy).\n \n4. **Tailor for the audience**:\n - **Step 8**: Consider who will be reading the summary. If they are executives, focus more on high-level, strategic insights (e.g., business risks, opportunities). If they are analysts, include more granular details (e.g., specific data points, financial impact).\n\n---\n\n### **What NOT to Do:**\n\n1. **Do NOT repeat the article verbatim**: \n - Avoid copying long phrases or entire sentences from the article. Use your own words to provide a fresh and concise summary.\n \n2. **Do NOT provide excessive details**: \n - Do not include unnecessary information such as minor details, unimportant background, or excessive historical context unless relevant to understanding the current event.\n \n3. **Do NOT add personal opinions or bias**: \n - Stay neutral. Do not speculate or introduce your own interpretations of the event.\n \n4. **Do NOT ignore critical data**: \n - Always include important numerical data, quotes, or facts that are central to the story.\n \n5. **Do NOT provide a purely factual summary without strategic insight**: \n - Go beyond just facts. Provide a short strategic insight on how the news might impact industries, businesses, or global markets.\n\n", + "agent_name": "News-Agent-V1", + "agent_description": null, + "saved_state_path": "News-Agent-V1_state.json", + "autosave": true, + "response_filters": [], + "self_healing_enabled": false, + "code_interpreter": false, + "multi_modal": null, + "pdf_path": null, + "list_of_pdf": null, + "tokenizer": "", + "long_term_memory": null, + "preset_stopping_token": false, + "traceback": null, + "traceback_handlers": null, + "streaming_on": false, + "docs": null, + "docs_folder": null, + "verbose": true, + "parser": null, + "best_of_n": null, + "callback": null, + "metadata": null, + "callbacks": null, + "logger_handler": "", + "search_algorithm": null, + "logs_to_filename": null, + "evaluator": null, + "output_json": false, + "stopping_func": null, + "custom_loop_condition": null, + "sentiment_threshold": null, + "custom_exit_command": "exit", + "sentiment_analyzer": null, + "limit_tokens_from_string": null, + "tool_schema": null, + "output_type": null, + "function_calling_type": "json", + "output_cleaner": null, + "function_calling_format_type": "OpenAI", + "list_base_models": null, + "metadata_output_type": "json", + "state_save_file_type": "json", + "chain_of_thoughts": false, + "algorithm_of_thoughts": false, + "tree_of_thoughts": false, + "tool_choice": "auto", + "execute_tool": false, + "planning": false, + "planning_prompt": null, + "device": null, + "custom_planning_prompt": null, + "rules": null, + "custom_tools_prompt": null, + "memory_chunk_size": 2000, + "agent_ops_on": false, + "log_directory": null, + "tool_system_prompt": "\n\n\n You've been granted tools to assist users by always providing outputs in JSON format for tool usage. \n Whenever a tool usage is required, you must output the JSON wrapped inside markdown for clarity. \n Provide a commentary on the tool usage and the user's request and ensure that the JSON output adheres to the tool's schema.\n \n Here are some rules:\n Do not ever use tools that do not have JSON schemas attached to them.\n Do not use tools that you have not been granted access to.\n Do not use tools that are not relevant to the task at hand.\n Do not use tools that are not relevant to the user's request.\n \n \n Here are the guidelines you must follow:\n\n 1. **Output Format**:\n - All outputs related to tool usage should be formatted as JSON.\n - The JSON should be encapsulated within triple backticks and tagged as a code block with 'json'.\n\n 2. **Schema Compliance**:\n - Ensure that the JSON output strictly follows the provided schema for each tool.\n - Each tool's schema will define the structure and required fields for the JSON output.\n\n 3. **Schema Example**:\n If a tool named `example_tool` with a schema requires `param1` and `param2`, your response should look like:\n ```json\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"example_tool\",\n \"parameters\": {\n \"param1\": 123,\n \"param2\": \"example_value\"\n }\n }\n }\n ```\n\n 4. **Error Handling**:\n - If there is an error or the information provided by the user is insufficient to generate a valid JSON, respond with an appropriate error message in JSON format, also encapsulated in markdown.\n\n Remember, clarity and adherence to the schema are paramount. Your primary goal is to ensure the user receives well-structured JSON outputs that align with the tool's requirements.\n\n ---\n\n Here is the format you should always follow for your responses involving tool usage:\n\n ```json\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"\",\n \"parameters\": {\n \"param1\": \"\",\n \"param2\": \"\"\n }\n }\n }\n ```\n\n Please proceed with your task accordingly.\n\n ", + "max_tokens": 4096, + "top_p": 0.9, + "top_k": null, + "frequency_penalty": 0.0, + "presence_penalty": 0.0, + "temperature": 0.1, + "workspace_dir": "agent_workspace", + "timeout": null, + "created_at": 1727135104.6347141, + "return_step_meta": false, + "tags": null, + "use_cases": null, + "name": "News-Agent-V1", + "description": null, + "reply": "", + "question": null, + "answer": "", + "feedback": [], + "short_memory": { + "name": null, + "description": null, + "save_metadata_on": true, + "save_artifact_path": "./artifacts", + "save_metadata_path": "./metadata", + "save_error_path": "./errors", + "workspace_dir": "./workspace", + "system_prompt": "\n You are a fully autonomous agent serving the user in automating tasks, workflows, and activities. \n Agent's use custom instructions, capabilities, and data to optimize LLMs for a more narrow set of tasks.\n \n You will have internal dialogues with yourself and or interact with the user to aid in these tasks. \n Your responses should be coherent, contextually relevant, and tailored to the task at hand.\n", + "time_enabled": true, + "autosave": false, + "save_filepath": null, + "conversation_history": [ + { + "role": "System: ", + "content": "\n You are a fully autonomous agent serving the user in automating tasks, workflows, and activities. \n Agent's use custom instructions, capabilities, and data to optimize LLMs for a more narrow set of tasks.\n \n You will have internal dialogues with yourself and or interact with the user to aid in these tasks. \n Your responses should be coherent, contextually relevant, and tailored to the task at hand.\n", + "timestamp": "2024-09-23 19:45:04" + }, + { + "role": "swarms_corp", + "content": "News Articles for Swarm Multi-Agent:\n\n\nArticle 1:\nTitle: Plot Your Path: The 2024 AI Agent Ecosystem Map\nDescription: The hottest growing space in the AI industry is the AI agent space. Agents are autonomous entities that will complete tasks while humans are sleeping. You may have one agent working for you, or someday, a thousand swarm agents. The implications are significan\u2026\nURL: https://web-strategist.com/blog/2024/09/12/plot-your-path-the-2024-ai-agent-ecosystem-map/\nPublished At: 2024-09-12T13:56:04Z\nSource: Web-strategist.com\n\n\nArticle 2:\nTitle: Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy\nDescription: For any data center, operating large, complex GPU clusters is not for the faint of heart! There is a tremendous amount of complexity. Cooling, power, networking, and even such benign things like fan\u2026\nURL: https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/\nPublished At: 2024-09-16T23:16:04Z\nSource: Nvidia.com\n\n\nArticle 3:\nTitle: Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network\nDescription: Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network is also threatened by malicious vehicl\u2026\nURL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309920\nPublished At: 2024-09-12T14:00:00Z\nSource: Plos.org\n\n\nArticle 4:\nTitle: AI startup Cerebras debuts 'world's fastest inference' service - with a twist\nDescription: The AI computer maker claims its inference service is dramatically faster and makes new kinds of 'agentic' AI possible.\nURL: https://www.zdnet.com/article/ai-startup-cerebras-debuts-worlds-fastest-inference-with-a-twist/\nPublished At: 2024-08-28T01:03:55Z\nSource: ZDNet\n\n\nArticle 5:\nTitle: An easy way to deploy Docker containers to your VPS using Ptah.sh\nDescription: Back in 2020, my friend Andrii approached me with a proposal to start a new small startup \u2014 an esports statistics website. Knowing that Andrii is a master of strategic thinking, I had no doubt that\u2026\nURL: https://medium.com/@b_shulha/an-easy-way-to-deploy-docker-containers-to-your-vps-using-ptah-sh-4ae223c06b31\nPublished At: 2024-08-28T10:00:00Z\nSource: Medium\n\n", + "timestamp": "2024-09-23 19:45:05" + }, + { + "role": "swarms_corp", + "content": "News Articles for AGI:\n\n\nArticle 1:\nTitle: AI companies that say AGI is close are using dubious definitions to make that claim, AI pioneer says\nDescription: The AI industry is pouring billions into developing artificial general intelligence, and AI companies have wildly different ideas on how close it is.\nURL: https://www.businessinsider.com/artificial-general-intelligence-development-andrew-ng-openai-microsoft-meta-google-2024-9\nPublished At: 2024-09-01T18:43:57Z\nSource: Business Insider\n\n\nArticle 2:\nTitle: The OpenAI squad in charge of mitigating the risks of super-intelligent AI has lost nearly half its members, says a former researcher\nDescription: OpenAI initially had about 30 people working on AGI safety, but 14 of them have left the company this year, said former researcher Daniel Kokotajlo.\nURL: https://www.businessinsider.com/openai-lost-nearly-half-agi-safety-team-ex-researcher-2024-8\nPublished At: 2024-08-28T03:45:52Z\nSource: Business Insider\n\n\nArticle 3:\nTitle: OpenAI o1 Results on ARC-AGI-Pub\nDescription: How far are the o1 preview and mini models from AGI?\nURL: https://arcprize.org/blog/openai-o1-results-arc-prize\nPublished At: 2024-09-13T22:14:26Z\nSource: Arcprize.org\n\n\nArticle 4:\nTitle: The Sam Altman stans are having a meltdown. This sounds familiar.\nDescription: AI influencers on X and other social platforms are having a strange month.\nURL: https://www.businessinsider.com/ai-fans-speculate-clues-sam-altman-hints-strawberry-q-openai-2024-8\nPublished At: 2024-08-27T12:12:02Z\nSource: Business Insider\n\n\nArticle 5:\nTitle: Rohit Prasad\nDescription: Developing artificial general intelligence (AGI)\u2014or an AI smart as a human\u2014is the \u201cnorth star\u201d for Amazon\u2019s Rohit Prasad, who jumped from being Alexa\u2019s head scientist to running a newly-created Amazon AI team last year. While the retail tech juggernaut trails\u2026\nURL: https://time.com/7012757/rohit-prasad/\nPublished At: 2024-09-05T11:23:37Z\nSource: Time\n\n", + "timestamp": "2024-09-23 19:45:05" + }, + { + "role": "News-Agent-V1", + "content": "Here are the latest news articles relevant to the Swarm Multi-Agent ecosystem:\n\n### Article 1\n**Title:** [Plot Your Path: The 2024 AI Agent Ecosystem Map](https://web-strategist.com/blog/2024/09/12/plot-your-path-the-2024-ai-agent-ecosystem-map/) \n**Description:** The hottest growing space in the AI industry is the AI agent space. Agents are autonomous entities that will complete tasks while humans are sleeping. You may have one agent working for you, or someday, a thousand swarm agents. The implications are significant. \n**Published At:** September 12, 2024 \n**Source:** Web-strategist.com \n\n---\n\n### Article 2\n**Title:** [Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy](https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/) \n**Description:** For any data center, operating large, complex GPU clusters is not for the faint of heart! There is a tremendous amount of complexity. Cooling, power, networking, and even such benign things like fan management are critical. \n**Published At:** September 16, 2024 \n**Source:** Nvidia.com \n\n---\n\n### Article 3\n**Title:** [Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309920) \n**Description:** Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network is also threatened by malicious vehicles. \n**Published At:** September 12, 2024 \n**Source:** Plos.org \n\n---\n\n### Article 4\n**Title:** [AI startup Cerebras debuts 'world's fastest inference' service - with a twist](https://www.zdnet.com/article/ai-startup-cerebras-debuts-worlds-fastest-inference-with-a-twist/) \n**Description:** The AI computer maker claims its inference service is dramatically faster and makes new kinds of 'agentic' AI possible. \n**Published At:** August 28, 2024 \n**Source:** ZDNet \n\n---\n\n### Article 5\n**Title:** [An easy way to deploy Docker containers to your VPS using Ptah.sh](https://medium.com/@b_shulha/an-easy-way-to-deploy-docker-containers-to-your-vps-using-ptah-sh-4ae223c06b31) \n**Description:** Back in 2020, my friend Andrii approached me with a proposal to start a new small startup \u2014 an esports statistics website. Knowing that Andrii is a master of strategic thinking, I had no doubt that this would lead to innovative solutions. \n**Published At:** August 28, 2024 \n**Source:** Medium \n\n---\n\nIf you need more details or specific insights from any of these articles, feel free to ask!", + "timestamp": "2024-09-23 19:45:14" + }, + { + "role": "News-Agent-V1", + "content": "### News Articles Summary for Swarm Multi-Agent and AGI\n\n#### Swarm Multi-Agent Articles\n\n1. **Plot Your Path: The 2024 AI Agent Ecosystem Map**\n - **Published At:** September 12, 2024\n - **Source:** Web-strategist.com\n - **Description:** The article discusses the rapid growth of AI agents, highlighting their potential to operate autonomously and the future implications of having multiple agents working simultaneously.\n\n [Read more](https://web-strategist.com/blog/2024/09/12/plot-your-path-the-2024-ai-agent-ecosystem-map/)\n\n2. **Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy**\n - **Published At:** September 16, 2024\n - **Source:** Nvidia.com\n - **Description:** This article explores the complexities of managing large GPU clusters in data centers and how AI agents can optimize performance using the OODA loop strategy.\n\n [Read more](https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/)\n\n3. **Arithmetic Optimization Based Secure Intelligent Clustering Algorithm for Vehicular Adhoc Network**\n - **Published At:** September 12, 2024\n - **Source:** Plos.org\n - **Description:** The paper addresses challenges in Vehicular Adhoc Networks (VANET) related to data reliability and link disruptions, proposing a secure clustering algorithm.\n\n [Read more](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309920)\n\n4. **AI Startup Cerebras Debuts 'World's Fastest Inference' Service - with a Twist**\n - **Published At:** August 28, 2024\n - **Source:** ZDNet\n - **Description:** Cerebras introduces a new inference service that claims to significantly enhance the speed and capabilities of agentic AI.\n\n [Read more](https://www.zdnet.com/article/ai-startup-cerebras-debuts-worlds-fastest-inference-with-a-twist/)\n\n5. **An Easy Way to Deploy Docker Containers to Your VPS Using Ptah.sh**\n - **Published At:** August 28, 2024\n - **Source:** Medium\n - **Description:** The article shares a personal story about deploying Docker containers for an esports statistics website, emphasizing the strategic thinking involved.\n\n [Read more](https://medium.com/@b_shulha/an-easy-way-to-deploy-docker-containers-to-your-vps-using-ptah-sh-4ae223c06b31)\n\n---\n\n#### AGI Articles\n\n1. **AI Companies That Say AGI Is Close Are Using Dubious Definitions to Make That Claim, AI Pioneer Says**\n - **Published At:** September 1, 2024\n - **Source:** Business Insider\n - **Description:** The article critiques the varying definitions of AGI among companies and the significant investments being made in its development.\n\n [Read more](https://www.businessinsider.com/artificial-general-intelligence-development-andrew-ng-openai-microsoft-meta-google-2024-9)\n\n2. **The OpenAI Squad in Charge of Mitigating the Risks of Super-Intelligent AI Has Lost Nearly Half Its Members, Says a Former Researcher**\n - **Published At:** August 28, 2024\n - **Source:** Business Insider\n - **Description:** A former researcher reveals that OpenAI's AGI safety team has seen a significant reduction in personnel, raising concerns about the company's focus on AGI safety.\n\n [Read more](https://www.businessinsider.com/openai-lost-nearly-half-agi-safety-team-ex-researcher-2024-8)\n\n3. **OpenAI o1 Results on ARC-AGI-Pub**\n - **Published At:** September 13, 2024\n - **Source:** Arcprize.org\n - **Description:** This article discusses the results from OpenAI's o1 preview and mini models, evaluating their proximity to achieving AGI.\n\n [Read more](https://arcprize.org/blog/openai-o1-results-arc-prize)\n\n4. **The Sam Altman Stans Are Having a Meltdown. This Sounds Familiar.**\n - **Published At:** August 27, 2024\n - **Source:** Business Insider\n - **Description:** The article reflects on the reactions of AI influencers to recent developments involving Sam Altman, highlighting the emotional responses within the community.\n\n [Read more](https://www.businessinsider.com/ai-fans-speculate-clues-sam-altman-hints-strawberry-q-openai-2024-8)\n\n5. **Rohit Prasad**\n - **Published At:** September 5, 2024\n - **Source:** Time\n - **Description:** Rohit Prasad discusses his vision for developing AGI at Amazon, focusing on the company's strategic direction in AI.\n\n [Read more](https://time.com/7012757/rohit-prasad/) \n\n---\n\nThese articles provide insights into the current landscape of AI agents and AGI, reflecting ongoing developments and challenges in these rapidly evolving fields. Would you like to explore any specific article further or need assistance with a related task?", + "timestamp": "2024-09-23 19:45:20" + } + ], + "tokenizer": null, + "context_length": 8192, + "rules": null, + "custom_rules_prompt": null, + "user": "swarms_corp", + "auto_save": true, + "save_as_yaml": true, + "save_as_json_bool": false + } +} \ No newline at end of file diff --git a/agent_workspace/error.txt b/agent_workspace/error.txt new file mode 100644 index 0000000..e69de29 diff --git a/example.py b/example.py new file mode 100644 index 0000000..dc77885 --- /dev/null +++ b/example.py @@ -0,0 +1,51 @@ +import os + +from dotenv import load_dotenv +from swarm_models import OpenAIChat +from swarms import Agent + +from news_agent.main import NewsAgent + +load_dotenv() + +# Get the OpenAI API key from the environment variable +api_key = os.getenv("OPENAI_API_KEY") + +# Create an instance of the OpenAIChat class +model = OpenAIChat( + openai_api_key=api_key, model_name="gpt-4o-mini", temperature=0.1 +) + +# Initialize the agent +agent = Agent( + agent_name="News-Agent-V1", + # system_prompt=FINANCIAL_AGENT_SYS_PROMPT, + llm=model, + max_loops=1, + autosave=True, + dashboard=False, + verbose=True, + dynamic_temperature_enabled=True, + saved_state_path="news_agent.json", + user_name="swarms_corp", + retry_attempts=1, + context_length=200000, + return_step_meta=False, + # output_type="json", +) + +# Agent +agent = NewsAgent( + agent_name="news-agent-v1", + agent=agent, + newsapi_api_key=os.getenv("NEWSAPI_API_KEY"), + system_prompt=None, + return_json=True, + # start_date="2024-08-01", + # end_date="2024-08-10" +) + + +# Run the agent +# agent.run(["multi-agent collaboration"]) +agent.run_concurrently(["Swarm Multi-Agent", "AGI"]) diff --git a/news_agent/main.py b/news_agent/main.py index e69de29..96ce22e 100644 --- a/news_agent/main.py +++ b/news_agent/main.py @@ -0,0 +1,183 @@ +import os +import time +import uuid +from concurrent.futures import ThreadPoolExecutor +from typing import List, Optional, Any +from news_agent.prompts import NEWS_SYS_PROMPT +from pydantic import BaseModel, Field +from swarms import Agent, create_file_in_folder + +from news_agent.tool import fetch_stock_news + + +class InputLog(BaseModel): + id: Optional[str] = Field( + default=str(uuid.uuid4()), + description="Unique identifier for the input log", + ) + query: Optional[str] + start_date: Optional[Any] + end_date: Optional[Any] + return_json: Optional[bool] + max_articles: Optional[int] = 5 + time_stamp: Optional[str] = Field( + default=time.strftime("%Y-%m-%d %H:%M:%S"), + description="Timestamp of the input log", + ) + + +class OutputLogSummaries(BaseModel): + id: Optional[str] = Field( + default=str(uuid.uuid4()), + description="Unique identifier for the output log summary", + ) + articles: Optional[Any] # Accept list of dictionaries + summary: Optional[str] + time_stamp: Optional[str] = Field( + default=time.strftime("%Y-%m-%d %H:%M:%S"), + description="Timestamp of the output log summary", + ) + + +class OutputLog(BaseModel): + id: Optional[str] = Field( + default=str(uuid.uuid4()), + description="Unique identifier for the output log", + ) + input_log: Optional[InputLog] + output_logs: Optional[List[OutputLogSummaries]] = Field( + ..., description=None + ) + time_stamp: Optional[str] = Field( + default=time.strftime("%Y-%m-%d %H:%M:%S"), + description="Timestamp of the output log", + ) + + +def check_newsapi() -> str: + try: + key = os.getenv("NEWSAPI_API_KEY") + return key + except Exception: + return None + + +class NewsAgent(Agent): + """ + A specialized agent for fetching and processing news articles based on given tasks. + It utilizes the News API to fetch articles and a language model to generate summaries. + """ + + def __init__( + self, + agent_name: str = "news_agent_v1", + newsapi_api_key: str = None, + system_prompt: str = None, + agent: Agent = None, + start_date: Optional[str] = None, + end_date: Optional[str] = None, + return_json: bool = False, + max_articles: int = 5, + autosave: bool = False, + ): + """ + Initializes the NewsAgent with the necessary parameters. + + Args: + agent_name (str): The name of the agent. + newsapi_api_key (str, optional): The API key for News API. Defaults to None. + system_prompt (str, optional): The system prompt for the language model. Defaults to None. + llm (BaseLLM, optional): The language model to use for summarization. Defaults to None. + agent (Agent, optional): The base agent to inherit from. Defaults to None. + start_date (Optional[str], optional): The start date for the news query in 'YYYY-MM-DD' format. Defaults to None. + end_date (Optional[str], optional): The end date for the news query in 'YYYY-MM-DD' format. Defaults to None. + return_json (bool, optional): If True, return the result as a JSON object, otherwise return a formatted string. Defaults to False. + max_articles (int, optional): The maximum number of articles to fetch. Defaults to 5. + """ + self.agent_name = agent_name + self.system_prompt = system_prompt + self.newsapi_api_key = newsapi_api_key + self.start_date = start_date + self.end_date = end_date + self.return_json = return_json + self.max_articles = max_articles + self.agent = agent + self.autosave = autosave + + self.output_log = OutputLog( + input_log=InputLog( + query="", + start_date=start_date, + end_date=end_date, + return_json=return_json, + max_articles=max_articles, + ), + output_logs=[], + ) + + # Transition the sys prompt of the agent + self.agent.system_prompt = NEWS_SYS_PROMPT + + def run(self, tasks: List[str], *args, **kwargs): + """ + Runs the news fetching and summarization process sequentially for each task. + + Args: + tasks (List[str]): A list of tasks or queries to process. + + Returns: + Union[str, dict]: The output of the process, either a formatted string or a JSON object depending on the return_json parameter. + """ + for task in tasks: + self.output_log.input_log.query = task + + string_query, data_dict = fetch_stock_news( + task, + self.newsapi_api_key, + self.start_date, + self.end_date, + max_articles=self.max_articles, + ) + print(type(data_dict)) + + summary = self.agent.run(string_query) + + output_log_indi = OutputLogSummaries( + articles=data_dict, + summary=summary, + ) + + self.output_log.output_logs.append(output_log_indi) + + # Save the log + create_file_in_folder( + "news_agent_runs", + f"news_agent_run_id:{self.output_log.id}.json", + self.output_log.model_dump_json(indent=4), + ) + + if self.return_json is True: + return self.output_log.model_dump_json(indent=4) + + else: + return summary + + def run_concurrently(self, tasks: List[str]) -> str: + """ + Runs the news fetching and summarization process concurrently for each task. + + Args: + tasks (List[str]): A list of tasks or queries to process. + + Returns: + str: The output of the process as a JSON object. + """ + with ThreadPoolExecutor() as executor: + futures = { + executor.submit(self.run, [task]): task + for task in tasks + } + for future in futures: + future.result() # Wait for all tasks to complete + + return self.output_log.model_dump_json(indent=4) diff --git a/news_agent/prompts.py b/news_agent/prompts.py new file mode 100644 index 0000000..a8e5ec1 --- /dev/null +++ b/news_agent/prompts.py @@ -0,0 +1,56 @@ +NEWS_SYS_PROMPT = """ + +### **System Prompt: News Article Summarization Agent** + +#### **Objective:** +You are an advanced LLM agent specialized in summarizing news articles for enterprise use. Your goal is to provide concise, informative, and strategic summaries that highlight key points, context, and potential implications for decision-makers. +Always reference the authors and the URL links associated with each article. + +--- + +### **Instructions:** + +1. **Understand the context first**: + - **Step 1**: Read the entire news article carefully, ensuring that you comprehend the subject matter and context. + - **Step 2**: Identify the main topic, key events, participants (individuals or organizations), and any significant quotes, data, or statistics. + - **Step 3**: Capture the overall tone (e.g., positive, neutral, negative) and the impact of the news (e.g., market, social, economic, political). + +2. **Identify key information**: + - **Step 4**: Extract the five W’s: + - **Who**: Identify key people or organizations involved. + - **What**: Outline the main event or issue. + - **Where**: Indicate the location if relevant. + - **When**: Mention the timing or date of the event. + - **Why**: Summarize the reason or cause behind the event. + - **Step 5**: Note any important outcomes or potential future developments mentioned in the article. + +3. **Summarize strategically**: + - **Step 6**: Write a summary in no more than 3-5 sentences for quick decision-making: + - **Introduction**: Start with a one-sentence overview of the topic. + - **Core facts**: Provide 2-3 sentences detailing the most important facts (i.e., key actors, events, and outcomes). + - **Implications**: End with a strategic insight on the impact of this news on the relevant industry, market, or business domain (e.g., “This could lead to…”). + - **Step 7**: Prioritize clarity, conciseness, and relevance to enterprise use (e.g., focus on market impacts, regulations, or leadership changes that affect business strategy). + +4. **Tailor for the audience**: + - **Step 8**: Consider who will be reading the summary. If they are executives, focus more on high-level, strategic insights (e.g., business risks, opportunities). If they are analysts, include more granular details (e.g., specific data points, financial impact). + +--- + +### **What NOT to Do:** + +1. **Do NOT repeat the article verbatim**: + - Avoid copying long phrases or entire sentences from the article. Use your own words to provide a fresh and concise summary. + +2. **Do NOT provide excessive details**: + - Do not include unnecessary information such as minor details, unimportant background, or excessive historical context unless relevant to understanding the current event. + +3. **Do NOT add personal opinions or bias**: + - Stay neutral. Do not speculate or introduce your own interpretations of the event. + +4. **Do NOT ignore critical data**: + - Always include important numerical data, quotes, or facts that are central to the story. + +5. **Do NOT provide a purely factual summary without strategic insight**: + - Go beyond just facts. Provide a short strategic insight on how the news might impact industries, businesses, or global markets. + +""" diff --git a/news_agent/tool.py b/news_agent/tool.py new file mode 100644 index 0000000..c15ad7a --- /dev/null +++ b/news_agent/tool.py @@ -0,0 +1,105 @@ +from newsapi import NewsApiClient +from typing import Optional, Dict, Union, List + + +def fetch_stock_news( + query: str, + newsapi_api_key: str, + start_date: Optional[str] = None, + end_date: Optional[str] = None, + max_articles: int = 5, + return_json: bool = False, +) -> Union[Dict[str, Union[str, List[Dict[str, str]]]], str]: + """ + Fetches stock news for a query within a specified date range using NewsApiClient. + + Args: + query (str): The query name or stock symbol to query news for. + newsapi_api_key (str): Your API key for News API. + start_date (Optional[str]): The start date for the news query in 'YYYY-MM-DD' format (default: None). + end_date (Optional[str]): The end date for the news query in 'YYYY-MM-DD' format (default: None). + max_articles (int): The maximum number of articles to retrieve (default: 5). + return_json (bool): If True, return the result as a JSON object, otherwise return a formatted string (default: False). + + Returns: + Union[Dict[str, Union[str, List[Dict[str, str]]]], str]: + A JSON object (if return_json=True) containing articles and metadata, or a formatted string of the news articles. + """ + + # Initialize the NewsApiClient with the provided API key + newsapi = NewsApiClient(api_key=newsapi_api_key) + + # Fetch news articles using NewsApiClient + articles_data = newsapi.get_everything( + q=query, + from_param=start_date, + to=end_date, + language="en", + sort_by="relevancy", + page_size=max_articles, + ) + + if articles_data["status"] != "ok": + raise ValueError("Failed to fetch news data from API") + + # Extract articles + articles = articles_data.get("articles", []) + + if not articles: + return "No articles found for the given query and date range." + + # Process each article and return metadata + def process_article(article: Dict[str, str]) -> Dict[str, str]: + """ + Process an article and return metadata. + """ + return { + "title": article.get("title", "No Title"), + "description": article.get( + "description", "No Description" + ), + "url": article.get("url", "No URL"), + "published_at": article.get("publishedAt", "No Date"), + "source": article.get("source", {}).get( + "name", "Unknown Source" + ), + } + + # Process all articles + processed_articles = [ + process_article(article) for article in articles + ] + + # Create formatted string of articles and metadata + formatted_result = f"News Articles for {query}:\n\n" + for idx, article in enumerate(processed_articles, 1): + title = article.get("title", "No Title") + description = article.get("description", "No Description") + url = article.get("url", "No URL") + published_at = article.get("published_at", "No Date") + source = article.get("source", "Unknown Source") + + formatted_result += ( + f"\nArticle {idx}:\n" + f"Title: {title}\n" + f"Description: {description}\n" + f"URL: {url}\n" + f"Published At: {published_at}\n" + f"Source: {source}\n" + "\n" + ) + + # If return_json is true, return the raw JSON data with the formatted string + data = { + "query": query, + "start_date": start_date, + "end_date": end_date, + "formatted_result": formatted_result, + "articles": processed_articles, + } + + return formatted_result, data + + +# # Example +# out = fetch_stock_news("Swarms") diff --git a/news_agent_runs/news_agent_run_id:a51bab2f-17d1-444d-9707-4596bb4848e0.json b/news_agent_runs/news_agent_run_id:a51bab2f-17d1-444d-9707-4596bb4848e0.json new file mode 100644 index 0000000..91d581e --- /dev/null +++ b/news_agent_runs/news_agent_run_id:a51bab2f-17d1-444d-9707-4596bb4848e0.json @@ -0,0 +1,111 @@ +{ + "id": "a51bab2f-17d1-444d-9707-4596bb4848e0", + "input_log": { + "id": "1b1602ea-ea39-42de-b04e-cea4c9fc3ac6", + "query": "AGI", + "start_date": null, + "end_date": null, + "return_json": true, + "max_articles": 5, + "time_stamp": "2024-09-23 19:45:04" + }, + "output_logs": [ + { + "id": "1ed019f3-d544-404b-a253-b8f2cabc5fe3", + "articles": { + "query": "Swarm Multi-Agent", + "start_date": null, + "end_date": null, + "formatted_result": "News Articles for Swarm Multi-Agent:\n\n\nArticle 1:\nTitle: Plot Your Path: The 2024 AI Agent Ecosystem Map\nDescription: The hottest growing space in the AI industry is the AI agent space. Agents are autonomous entities that will complete tasks while humans are sleeping. You may have one agent working for you, or someday, a thousand swarm agents. The implications are significan…\nURL: https://web-strategist.com/blog/2024/09/12/plot-your-path-the-2024-ai-agent-ecosystem-map/\nPublished At: 2024-09-12T13:56:04Z\nSource: Web-strategist.com\n\n\nArticle 2:\nTitle: Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy\nDescription: For any data center, operating large, complex GPU clusters is not for the faint of heart! There is a tremendous amount of complexity. Cooling, power, networking, and even such benign things like fan…\nURL: https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/\nPublished At: 2024-09-16T23:16:04Z\nSource: Nvidia.com\n\n\nArticle 3:\nTitle: Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network\nDescription: Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network is also threatened by malicious vehicl…\nURL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309920\nPublished At: 2024-09-12T14:00:00Z\nSource: Plos.org\n\n\nArticle 4:\nTitle: AI startup Cerebras debuts 'world's fastest inference' service - with a twist\nDescription: The AI computer maker claims its inference service is dramatically faster and makes new kinds of 'agentic' AI possible.\nURL: https://www.zdnet.com/article/ai-startup-cerebras-debuts-worlds-fastest-inference-with-a-twist/\nPublished At: 2024-08-28T01:03:55Z\nSource: ZDNet\n\n\nArticle 5:\nTitle: An easy way to deploy Docker containers to your VPS using Ptah.sh\nDescription: Back in 2020, my friend Andrii approached me with a proposal to start a new small startup — an esports statistics website. Knowing that Andrii is a master of strategic thinking, I had no doubt that…\nURL: https://medium.com/@b_shulha/an-easy-way-to-deploy-docker-containers-to-your-vps-using-ptah-sh-4ae223c06b31\nPublished At: 2024-08-28T10:00:00Z\nSource: Medium\n\n", + "articles": [ + { + "title": "Plot Your Path: The 2024 AI Agent Ecosystem Map", + "description": "The hottest growing space in the AI industry is the AI agent space. Agents are autonomous entities that will complete tasks while humans are sleeping. You may have one agent working for you, or someday, a thousand swarm agents. The implications are significan…", + "url": "https://web-strategist.com/blog/2024/09/12/plot-your-path-the-2024-ai-agent-ecosystem-map/", + "published_at": "2024-09-12T13:56:04Z", + "source": "Web-strategist.com" + }, + { + "title": "Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy", + "description": "For any data center, operating large, complex GPU clusters is not for the faint of heart! There is a tremendous amount of complexity. Cooling, power, networking, and even such benign things like fan…", + "url": "https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/", + "published_at": "2024-09-16T23:16:04Z", + "source": "Nvidia.com" + }, + { + "title": "Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network", + "description": "Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network is also threatened by malicious vehicl…", + "url": "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309920", + "published_at": "2024-09-12T14:00:00Z", + "source": "Plos.org" + }, + { + "title": "AI startup Cerebras debuts 'world's fastest inference' service - with a twist", + "description": "The AI computer maker claims its inference service is dramatically faster and makes new kinds of 'agentic' AI possible.", + "url": "https://www.zdnet.com/article/ai-startup-cerebras-debuts-worlds-fastest-inference-with-a-twist/", + "published_at": "2024-08-28T01:03:55Z", + "source": "ZDNet" + }, + { + "title": "An easy way to deploy Docker containers to your VPS using Ptah.sh", + "description": "Back in 2020, my friend Andrii approached me with a proposal to start a new small startup — an esports statistics website. Knowing that Andrii is a master of strategic thinking, I had no doubt that…", + "url": "https://medium.com/@b_shulha/an-easy-way-to-deploy-docker-containers-to-your-vps-using-ptah-sh-4ae223c06b31", + "published_at": "2024-08-28T10:00:00Z", + "source": "Medium" + } + ] + }, + "summary": "Here are the latest news articles relevant to the Swarm Multi-Agent ecosystem:\n\n### Article 1\n**Title:** [Plot Your Path: The 2024 AI Agent Ecosystem Map](https://web-strategist.com/blog/2024/09/12/plot-your-path-the-2024-ai-agent-ecosystem-map/) \n**Description:** The hottest growing space in the AI industry is the AI agent space. Agents are autonomous entities that will complete tasks while humans are sleeping. You may have one agent working for you, or someday, a thousand swarm agents. The implications are significant. \n**Published At:** September 12, 2024 \n**Source:** Web-strategist.com \n\n---\n\n### Article 2\n**Title:** [Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy](https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/) \n**Description:** For any data center, operating large, complex GPU clusters is not for the faint of heart! There is a tremendous amount of complexity. Cooling, power, networking, and even such benign things like fan management are critical. \n**Published At:** September 16, 2024 \n**Source:** Nvidia.com \n\n---\n\n### Article 3\n**Title:** [Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309920) \n**Description:** Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network is also threatened by malicious vehicles. \n**Published At:** September 12, 2024 \n**Source:** Plos.org \n\n---\n\n### Article 4\n**Title:** [AI startup Cerebras debuts 'world's fastest inference' service - with a twist](https://www.zdnet.com/article/ai-startup-cerebras-debuts-worlds-fastest-inference-with-a-twist/) \n**Description:** The AI computer maker claims its inference service is dramatically faster and makes new kinds of 'agentic' AI possible. \n**Published At:** August 28, 2024 \n**Source:** ZDNet \n\n---\n\n### Article 5\n**Title:** [An easy way to deploy Docker containers to your VPS using Ptah.sh](https://medium.com/@b_shulha/an-easy-way-to-deploy-docker-containers-to-your-vps-using-ptah-sh-4ae223c06b31) \n**Description:** Back in 2020, my friend Andrii approached me with a proposal to start a new small startup — an esports statistics website. Knowing that Andrii is a master of strategic thinking, I had no doubt that this would lead to innovative solutions. \n**Published At:** August 28, 2024 \n**Source:** Medium \n\n---\n\nIf you need more details or specific insights from any of these articles, feel free to ask!", + "time_stamp": "2024-09-23 19:45:04" + }, + { + "id": "1ed019f3-d544-404b-a253-b8f2cabc5fe3", + "articles": { + "query": "AGI", + "start_date": null, + "end_date": null, + "formatted_result": "News Articles for AGI:\n\n\nArticle 1:\nTitle: AI companies that say AGI is close are using dubious definitions to make that claim, AI pioneer says\nDescription: The AI industry is pouring billions into developing artificial general intelligence, and AI companies have wildly different ideas on how close it is.\nURL: https://www.businessinsider.com/artificial-general-intelligence-development-andrew-ng-openai-microsoft-meta-google-2024-9\nPublished At: 2024-09-01T18:43:57Z\nSource: Business Insider\n\n\nArticle 2:\nTitle: The OpenAI squad in charge of mitigating the risks of super-intelligent AI has lost nearly half its members, says a former researcher\nDescription: OpenAI initially had about 30 people working on AGI safety, but 14 of them have left the company this year, said former researcher Daniel Kokotajlo.\nURL: https://www.businessinsider.com/openai-lost-nearly-half-agi-safety-team-ex-researcher-2024-8\nPublished At: 2024-08-28T03:45:52Z\nSource: Business Insider\n\n\nArticle 3:\nTitle: OpenAI o1 Results on ARC-AGI-Pub\nDescription: How far are the o1 preview and mini models from AGI?\nURL: https://arcprize.org/blog/openai-o1-results-arc-prize\nPublished At: 2024-09-13T22:14:26Z\nSource: Arcprize.org\n\n\nArticle 4:\nTitle: The Sam Altman stans are having a meltdown. This sounds familiar.\nDescription: AI influencers on X and other social platforms are having a strange month.\nURL: https://www.businessinsider.com/ai-fans-speculate-clues-sam-altman-hints-strawberry-q-openai-2024-8\nPublished At: 2024-08-27T12:12:02Z\nSource: Business Insider\n\n\nArticle 5:\nTitle: Rohit Prasad\nDescription: Developing artificial general intelligence (AGI)—or an AI smart as a human—is the “north star” for Amazon’s Rohit Prasad, who jumped from being Alexa’s head scientist to running a newly-created Amazon AI team last year. While the retail tech juggernaut trails…\nURL: https://time.com/7012757/rohit-prasad/\nPublished At: 2024-09-05T11:23:37Z\nSource: Time\n\n", + "articles": [ + { + "title": "AI companies that say AGI is close are using dubious definitions to make that claim, AI pioneer says", + "description": "The AI industry is pouring billions into developing artificial general intelligence, and AI companies have wildly different ideas on how close it is.", + "url": "https://www.businessinsider.com/artificial-general-intelligence-development-andrew-ng-openai-microsoft-meta-google-2024-9", + "published_at": "2024-09-01T18:43:57Z", + "source": "Business Insider" + }, + { + "title": "The OpenAI squad in charge of mitigating the risks of super-intelligent AI has lost nearly half its members, says a former researcher", + "description": "OpenAI initially had about 30 people working on AGI safety, but 14 of them have left the company this year, said former researcher Daniel Kokotajlo.", + "url": "https://www.businessinsider.com/openai-lost-nearly-half-agi-safety-team-ex-researcher-2024-8", + "published_at": "2024-08-28T03:45:52Z", + "source": "Business Insider" + }, + { + "title": "OpenAI o1 Results on ARC-AGI-Pub", + "description": "How far are the o1 preview and mini models from AGI?", + "url": "https://arcprize.org/blog/openai-o1-results-arc-prize", + "published_at": "2024-09-13T22:14:26Z", + "source": "Arcprize.org" + }, + { + "title": "The Sam Altman stans are having a meltdown. This sounds familiar.", + "description": "AI influencers on X and other social platforms are having a strange month.", + "url": "https://www.businessinsider.com/ai-fans-speculate-clues-sam-altman-hints-strawberry-q-openai-2024-8", + "published_at": "2024-08-27T12:12:02Z", + "source": "Business Insider" + }, + { + "title": "Rohit Prasad", + "description": "Developing artificial general intelligence (AGI)—or an AI smart as a human—is the “north star” for Amazon’s Rohit Prasad, who jumped from being Alexa’s head scientist to running a newly-created Amazon AI team last year. While the retail tech juggernaut trails…", + "url": "https://time.com/7012757/rohit-prasad/", + "published_at": "2024-09-05T11:23:37Z", + "source": "Time" + } + ] + }, + "summary": "### News Articles Summary for Swarm Multi-Agent and AGI\n\n#### Swarm Multi-Agent Articles\n\n1. **Plot Your Path: The 2024 AI Agent Ecosystem Map**\n - **Published At:** September 12, 2024\n - **Source:** Web-strategist.com\n - **Description:** The article discusses the rapid growth of AI agents, highlighting their potential to operate autonomously and the future implications of having multiple agents working simultaneously.\n\n [Read more](https://web-strategist.com/blog/2024/09/12/plot-your-path-the-2024-ai-agent-ecosystem-map/)\n\n2. **Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy**\n - **Published At:** September 16, 2024\n - **Source:** Nvidia.com\n - **Description:** This article explores the complexities of managing large GPU clusters in data centers and how AI agents can optimize performance using the OODA loop strategy.\n\n [Read more](https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/)\n\n3. **Arithmetic Optimization Based Secure Intelligent Clustering Algorithm for Vehicular Adhoc Network**\n - **Published At:** September 12, 2024\n - **Source:** Plos.org\n - **Description:** The paper addresses challenges in Vehicular Adhoc Networks (VANET) related to data reliability and link disruptions, proposing a secure clustering algorithm.\n\n [Read more](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309920)\n\n4. **AI Startup Cerebras Debuts 'World's Fastest Inference' Service - with a Twist**\n - **Published At:** August 28, 2024\n - **Source:** ZDNet\n - **Description:** Cerebras introduces a new inference service that claims to significantly enhance the speed and capabilities of agentic AI.\n\n [Read more](https://www.zdnet.com/article/ai-startup-cerebras-debuts-worlds-fastest-inference-with-a-twist/)\n\n5. **An Easy Way to Deploy Docker Containers to Your VPS Using Ptah.sh**\n - **Published At:** August 28, 2024\n - **Source:** Medium\n - **Description:** The article shares a personal story about deploying Docker containers for an esports statistics website, emphasizing the strategic thinking involved.\n\n [Read more](https://medium.com/@b_shulha/an-easy-way-to-deploy-docker-containers-to-your-vps-using-ptah-sh-4ae223c06b31)\n\n---\n\n#### AGI Articles\n\n1. **AI Companies That Say AGI Is Close Are Using Dubious Definitions to Make That Claim, AI Pioneer Says**\n - **Published At:** September 1, 2024\n - **Source:** Business Insider\n - **Description:** The article critiques the varying definitions of AGI among companies and the significant investments being made in its development.\n\n [Read more](https://www.businessinsider.com/artificial-general-intelligence-development-andrew-ng-openai-microsoft-meta-google-2024-9)\n\n2. **The OpenAI Squad in Charge of Mitigating the Risks of Super-Intelligent AI Has Lost Nearly Half Its Members, Says a Former Researcher**\n - **Published At:** August 28, 2024\n - **Source:** Business Insider\n - **Description:** A former researcher reveals that OpenAI's AGI safety team has seen a significant reduction in personnel, raising concerns about the company's focus on AGI safety.\n\n [Read more](https://www.businessinsider.com/openai-lost-nearly-half-agi-safety-team-ex-researcher-2024-8)\n\n3. **OpenAI o1 Results on ARC-AGI-Pub**\n - **Published At:** September 13, 2024\n - **Source:** Arcprize.org\n - **Description:** This article discusses the results from OpenAI's o1 preview and mini models, evaluating their proximity to achieving AGI.\n\n [Read more](https://arcprize.org/blog/openai-o1-results-arc-prize)\n\n4. **The Sam Altman Stans Are Having a Meltdown. This Sounds Familiar.**\n - **Published At:** August 27, 2024\n - **Source:** Business Insider\n - **Description:** The article reflects on the reactions of AI influencers to recent developments involving Sam Altman, highlighting the emotional responses within the community.\n\n [Read more](https://www.businessinsider.com/ai-fans-speculate-clues-sam-altman-hints-strawberry-q-openai-2024-8)\n\n5. **Rohit Prasad**\n - **Published At:** September 5, 2024\n - **Source:** Time\n - **Description:** Rohit Prasad discusses his vision for developing AGI at Amazon, focusing on the company's strategic direction in AI.\n\n [Read more](https://time.com/7012757/rohit-prasad/) \n\n---\n\nThese articles provide insights into the current landscape of AI agents and AGI, reflecting ongoing developments and challenges in these rapidly evolving fields. Would you like to explore any specific article further or need assistance with a related task?", + "time_stamp": "2024-09-23 19:45:04" + } + ], + "time_stamp": "2024-09-23 19:45:04" +} \ No newline at end of file diff --git a/news_agent_runs/news_agent_run_id:ca683dc8-c8a5-44a5-9066-e79a46112ebb.json b/news_agent_runs/news_agent_run_id:ca683dc8-c8a5-44a5-9066-e79a46112ebb.json new file mode 100644 index 0000000..1ab886a --- /dev/null +++ b/news_agent_runs/news_agent_run_id:ca683dc8-c8a5-44a5-9066-e79a46112ebb.json @@ -0,0 +1,159 @@ +{ + "id": "ca683dc8-c8a5-44a5-9066-e79a46112ebb", + "input_log": { + "id": "7235e831-ebde-408c-8319-57df04fd3ebc", + "query": "AGI", + "start_date": null, + "end_date": null, + "return_json": true, + "max_articles": 5, + "time_stamp": "2024-09-23 19:42:54" + }, + "output_logs": [ + { + "id": "7750a94d-03b1-472d-a12f-27e5cde84c2e", + "articles": { + "query": "multi-agent collaboration", + "start_date": null, + "end_date": null, + "formatted_result": "News Articles for multi-agent collaboration:\n\n\nArticle 1:\nTitle: MK2 Films Sets Major Slate Financing Deal With IPR.VC\nDescription: European sales, production and finance company mk2 films has announced a multi-year slate financing deal with investment fund manager IPR.VC, which will provide “significant financial backing for a slate of future projects”.  “We are thrilled to work with IPR…\nURL: http://deadline.com/2024/09/mk2-films-major-slate-financing-deal-with-ipr-vc-1236094037/\nPublished At: 2024-09-19T12:00:12Z\nSource: Deadline\n\n\nArticle 2:\nTitle: Introducing SEOntology: The Future Of SEO In The Age Of AI via @sejournal, @cyberandy\nDescription: SEOntology is more than a technical framework. Gain rich insights - learn to standardize SEO data and practices to build a sustainable future with GenAI.\nThe post Introducing SEOntology: The Future Of SEO In The Age Of AI appeared first on Search Engine Journ…\nURL: https://www.searchenginejournal.com/introducing-seontology-the-future-of-seo-in-the-age-of-ai/524773/\nPublished At: 2024-08-27T13:02:05Z\nSource: Search Engine Journal\n\n\nArticle 3:\nTitle: Multi-Agent System’s Architecture\nDescription: The distribution of decision-making and interaction among the various agents that make up the system principally distinguishes multi-agent systems from single-agent systems. In a single-agent system, a centralized agent makes all decisions, with other agents …\nURL: https://generativeai.pub/multi-agent-systems-architecture-d07227b3059b\nPublished At: 2024-08-26T16:00:03Z\nSource: Generativeai.pub\n\n\nArticle 4:\nTitle: Support Engineering In The Age Of Cloud Computing: Navigating Challenges And Embracing Opportunities\nDescription: Let's explore the intricacies of support engineering in the cloud era and look at how professionals can navigate the complexities and leverage emerging opportunities.\nURL: https://www.forbes.com/councils/forbestechcouncil/2024/09/17/support-engineering-in-the-age-of-cloud-computing-navigating-challenges-and-embracing-opportunities/\nPublished At: 2024-09-17T12:45:00Z\nSource: Forbes\n\n\nArticle 5:\nTitle: AI Unlocks NCAA’s Video Vault: Athletes To Cash In On NIL Deals Using 90+ Years Of Game Footage\nDescription: AI has entered the chat for NCAA video creating new revenue opportunities for college athletes.\nURL: https://www.forbes.com/sites/karenweaver/2024/09/05/ai-unlocks-ncaas-video-vault-athletes-to-cash-in-on-nil-deals-using-90-years-of-game-footage/\nPublished At: 2024-09-05T19:44:41Z\nSource: Forbes\n\n", + "articles": [ + { + "title": "MK2 Films Sets Major Slate Financing Deal With IPR.VC", + "description": "European sales, production and finance company mk2 films has announced a multi-year slate financing deal with investment fund manager IPR.VC, which will provide “significant financial backing for a slate of future projects”.  “We are thrilled to work with IPR…", + "url": "http://deadline.com/2024/09/mk2-films-major-slate-financing-deal-with-ipr-vc-1236094037/", + "published_at": "2024-09-19T12:00:12Z", + "source": "Deadline" + }, + { + "title": "Introducing SEOntology: The Future Of SEO In The Age Of AI via @sejournal, @cyberandy", + "description": "SEOntology is more than a technical framework. Gain rich insights - learn to standardize SEO data and practices to build a sustainable future with GenAI.\nThe post Introducing SEOntology: The Future Of SEO In The Age Of AI appeared first on Search Engine Journ…", + "url": "https://www.searchenginejournal.com/introducing-seontology-the-future-of-seo-in-the-age-of-ai/524773/", + "published_at": "2024-08-27T13:02:05Z", + "source": "Search Engine Journal" + }, + { + "title": "Multi-Agent System’s Architecture", + "description": "The distribution of decision-making and interaction among the various agents that make up the system principally distinguishes multi-agent systems from single-agent systems. In a single-agent system, a centralized agent makes all decisions, with other agents …", + "url": "https://generativeai.pub/multi-agent-systems-architecture-d07227b3059b", + "published_at": "2024-08-26T16:00:03Z", + "source": "Generativeai.pub" + }, + { + "title": "Support Engineering In The Age Of Cloud Computing: Navigating Challenges And Embracing Opportunities", + "description": "Let's explore the intricacies of support engineering in the cloud era and look at how professionals can navigate the complexities and leverage emerging opportunities.", + "url": "https://www.forbes.com/councils/forbestechcouncil/2024/09/17/support-engineering-in-the-age-of-cloud-computing-navigating-challenges-and-embracing-opportunities/", + "published_at": "2024-09-17T12:45:00Z", + "source": "Forbes" + }, + { + "title": "AI Unlocks NCAA’s Video Vault: Athletes To Cash In On NIL Deals Using 90+ Years Of Game Footage", + "description": "AI has entered the chat for NCAA video creating new revenue opportunities for college athletes.", + "url": "https://www.forbes.com/sites/karenweaver/2024/09/05/ai-unlocks-ncaas-video-vault-athletes-to-cash-in-on-nil-deals-using-90-years-of-game-footage/", + "published_at": "2024-09-05T19:44:41Z", + "source": "Forbes" + } + ] + }, + "summary": "To facilitate multi-agent collaboration based on the provided news articles, I will summarize the key points and potential implications of each article. This will help agents understand the context and relevance of the information for their tasks.\n\n### Article Summaries:\n\n1. **MK2 Films Sets Major Slate Financing Deal With IPR.VC**\n - **Key Points**: MK2 Films has secured a multi-year financing deal with IPR.VC, aimed at supporting future film projects.\n - **Implications**: This partnership could lead to increased production capabilities and a broader range of projects, potentially impacting the film market in Europe.\n\n2. **Introducing SEOntology: The Future Of SEO In The Age Of AI**\n - **Key Points**: SEOntology is a new framework designed to standardize SEO practices in the context of AI advancements.\n - **Implications**: This could revolutionize how businesses approach SEO, making it more efficient and sustainable, which is crucial for digital marketing strategies.\n\n3. **Multi-Agent System’s Architecture**\n - **Key Points**: The article discusses the fundamental differences between multi-agent systems and single-agent systems, emphasizing decentralized decision-making.\n - **Implications**: Understanding these architectures is essential for developing more efficient collaborative systems in various applications, including AI and robotics.\n\n4. **Support Engineering In The Age Of Cloud Computing**\n - **Key Points**: The article explores the challenges and opportunities in support engineering within cloud environments.\n - **Implications**: Professionals in this field need to adapt to new technologies and methodologies to effectively support cloud-based systems, which is critical for IT operations.\n\n5. **AI Unlocks NCAA’s Video Vault: Athletes To Cash In On NIL Deals Using 90+ Years Of Game Footage**\n - **Key Points**: AI technology is being utilized to monetize NCAA video archives, allowing athletes to benefit from Name, Image, and Likeness (NIL) deals.\n - **Implications**: This development could significantly change the landscape of college athletics, providing new revenue streams for athletes and altering the dynamics of sports marketing.\n\n### Next Steps for Multi-Agent Collaboration:\n- **Identify Relevant Agents**: Determine which agents are most relevant to each article's topic (e.g., finance, SEO, AI, cloud computing).\n- **Task Assignment**: Assign specific tasks to agents based on the insights from the articles. For example, agents focused on marketing could explore SEOntology, while those in finance might analyze the implications of the MK2 Films deal.\n- **Collaboration Opportunities**: Encourage agents to collaborate on overlapping topics, such as the intersection of AI and marketing strategies in the context of NCAA athletes.\n\nWould you like to proceed with any specific tasks or further analysis based on these articles?", + "time_stamp": "2024-09-23 19:42:54" + }, + { + "id": "7750a94d-03b1-472d-a12f-27e5cde84c2e", + "articles": { + "query": "AGI", + "start_date": null, + "end_date": null, + "formatted_result": "News Articles for AGI:\n\n\nArticle 1:\nTitle: AI companies that say AGI is close are using dubious definitions to make that claim, AI pioneer says\nDescription: The AI industry is pouring billions into developing artificial general intelligence, and AI companies have wildly different ideas on how close it is.\nURL: https://www.businessinsider.com/artificial-general-intelligence-development-andrew-ng-openai-microsoft-meta-google-2024-9\nPublished At: 2024-09-01T18:43:57Z\nSource: Business Insider\n\n\nArticle 2:\nTitle: The OpenAI squad in charge of mitigating the risks of super-intelligent AI has lost nearly half its members, says a former researcher\nDescription: OpenAI initially had about 30 people working on AGI safety, but 14 of them have left the company this year, said former researcher Daniel Kokotajlo.\nURL: https://www.businessinsider.com/openai-lost-nearly-half-agi-safety-team-ex-researcher-2024-8\nPublished At: 2024-08-28T03:45:52Z\nSource: Business Insider\n\n\nArticle 3:\nTitle: OpenAI o1 Results on ARC-AGI-Pub\nDescription: How far are the o1 preview and mini models from AGI?\nURL: https://arcprize.org/blog/openai-o1-results-arc-prize\nPublished At: 2024-09-13T22:14:26Z\nSource: Arcprize.org\n\n\nArticle 4:\nTitle: The Sam Altman stans are having a meltdown. This sounds familiar.\nDescription: AI influencers on X and other social platforms are having a strange month.\nURL: https://www.businessinsider.com/ai-fans-speculate-clues-sam-altman-hints-strawberry-q-openai-2024-8\nPublished At: 2024-08-27T12:12:02Z\nSource: Business Insider\n\n\nArticle 5:\nTitle: Rohit Prasad\nDescription: Developing artificial general intelligence (AGI)—or an AI smart as a human—is the “north star” for Amazon’s Rohit Prasad, who jumped from being Alexa’s head scientist to running a newly-created Amazon AI team last year. While the retail tech juggernaut trails…\nURL: https://time.com/7012757/rohit-prasad/\nPublished At: 2024-09-05T11:23:37Z\nSource: Time\n\n", + "articles": [ + { + "title": "AI companies that say AGI is close are using dubious definitions to make that claim, AI pioneer says", + "description": "The AI industry is pouring billions into developing artificial general intelligence, and AI companies have wildly different ideas on how close it is.", + "url": "https://www.businessinsider.com/artificial-general-intelligence-development-andrew-ng-openai-microsoft-meta-google-2024-9", + "published_at": "2024-09-01T18:43:57Z", + "source": "Business Insider" + }, + { + "title": "The OpenAI squad in charge of mitigating the risks of super-intelligent AI has lost nearly half its members, says a former researcher", + "description": "OpenAI initially had about 30 people working on AGI safety, but 14 of them have left the company this year, said former researcher Daniel Kokotajlo.", + "url": "https://www.businessinsider.com/openai-lost-nearly-half-agi-safety-team-ex-researcher-2024-8", + "published_at": "2024-08-28T03:45:52Z", + "source": "Business Insider" + }, + { + "title": "OpenAI o1 Results on ARC-AGI-Pub", + "description": "How far are the o1 preview and mini models from AGI?", + "url": "https://arcprize.org/blog/openai-o1-results-arc-prize", + "published_at": "2024-09-13T22:14:26Z", + "source": "Arcprize.org" + }, + { + "title": "The Sam Altman stans are having a meltdown. This sounds familiar.", + "description": "AI influencers on X and other social platforms are having a strange month.", + "url": "https://www.businessinsider.com/ai-fans-speculate-clues-sam-altman-hints-strawberry-q-openai-2024-8", + "published_at": "2024-08-27T12:12:02Z", + "source": "Business Insider" + }, + { + "title": "Rohit Prasad", + "description": "Developing artificial general intelligence (AGI)—or an AI smart as a human—is the “north star” for Amazon’s Rohit Prasad, who jumped from being Alexa’s head scientist to running a newly-created Amazon AI team last year. While the retail tech juggernaut trails…", + "url": "https://time.com/7012757/rohit-prasad/", + "published_at": "2024-09-05T11:23:37Z", + "source": "Time" + } + ] + }, + "summary": "### Article Summaries for AGI:\n\n1. **AI companies that say AGI is close are using dubious definitions to make that claim, AI pioneer says**\n - **Key Points**: The article discusses the varying definitions of artificial general intelligence (AGI) among AI companies and critiques their claims about being close to achieving AGI.\n - **Implications**: This highlights the need for clearer standards and definitions in the AGI field, which could impact investment and research directions.\n\n2. **The OpenAI squad in charge of mitigating the risks of super-intelligent AI has lost nearly half its members, says a former researcher**\n - **Key Points**: A former researcher reveals that OpenAI's AGI safety team has seen a significant reduction in personnel, raising concerns about the organization's capacity to manage AGI risks.\n - **Implications**: This could affect the development of safety protocols for AGI, potentially increasing risks associated with super-intelligent AI.\n\n3. **OpenAI o1 Results on ARC-AGI-Pub**\n - **Key Points**: The article examines the performance of OpenAI's o1 preview and mini models in relation to AGI capabilities.\n - **Implications**: Understanding the results could provide insights into the current state of AGI development and the benchmarks that need to be met.\n\n4. **The Sam Altman stans are having a meltdown. This sounds familiar.**\n - **Key Points**: The article discusses the reactions of AI influencers and enthusiasts regarding recent developments related to Sam Altman and OpenAI.\n - **Implications**: This reflects the emotional investment and speculation within the AI community, which can influence public perception and trust in AGI advancements.\n\n5. **Rohit Prasad**\n - **Key Points**: Rohit Prasad, formerly of Alexa, is now leading Amazon's AI team with a focus on developing AGI as a primary goal.\n - **Implications**: Amazon's commitment to AGI could lead to significant advancements in the field, impacting competition and innovation among tech giants.\n\n### Next Steps for Multi-Agent Collaboration on AGI:\n- **Identify Relevant Agents**: Determine which agents are focused on AGI research, safety, and technology development.\n- **Task Assignment**: Assign tasks based on the articles, such as analyzing AGI safety protocols or exploring the implications of varying definitions of AGI.\n- **Collaboration Opportunities**: Encourage agents to collaborate on safety measures and ethical considerations in AGI development, especially in light of personnel changes at OpenAI.\n\nWould you like to focus on any specific article or task related to AGI?", + "time_stamp": "2024-09-23 19:42:54" + }, + { + "id": "7750a94d-03b1-472d-a12f-27e5cde84c2e", + "articles": { + "query": "Swarm Multi-Agent", + "start_date": null, + "end_date": null, + "formatted_result": "News Articles for Swarm Multi-Agent:\n\n\nArticle 1:\nTitle: Plot Your Path: The 2024 AI Agent Ecosystem Map\nDescription: The hottest growing space in the AI industry is the AI agent space. Agents are autonomous entities that will complete tasks while humans are sleeping. You may have one agent working for you, or someday, a thousand swarm agents. The implications are significan…\nURL: https://web-strategist.com/blog/2024/09/12/plot-your-path-the-2024-ai-agent-ecosystem-map/\nPublished At: 2024-09-12T13:56:04Z\nSource: Web-strategist.com\n\n\nArticle 2:\nTitle: Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy\nDescription: For any data center, operating large, complex GPU clusters is not for the faint of heart! There is a tremendous amount of complexity. Cooling, power, networking, and even such benign things like fan…\nURL: https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/\nPublished At: 2024-09-16T23:16:04Z\nSource: Nvidia.com\n\n\nArticle 3:\nTitle: Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network\nDescription: Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network is also threatened by malicious vehicl…\nURL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309920\nPublished At: 2024-09-12T14:00:00Z\nSource: Plos.org\n\n\nArticle 4:\nTitle: AI startup Cerebras debuts 'world's fastest inference' service - with a twist\nDescription: The AI computer maker claims its inference service is dramatically faster and makes new kinds of 'agentic' AI possible.\nURL: https://www.zdnet.com/article/ai-startup-cerebras-debuts-worlds-fastest-inference-with-a-twist/\nPublished At: 2024-08-28T01:03:55Z\nSource: ZDNet\n\n\nArticle 5:\nTitle: An easy way to deploy Docker containers to your VPS using Ptah.sh\nDescription: Back in 2020, my friend Andrii approached me with a proposal to start a new small startup — an esports statistics website. Knowing that Andrii is a master of strategic thinking, I had no doubt that…\nURL: https://medium.com/@b_shulha/an-easy-way-to-deploy-docker-containers-to-your-vps-using-ptah-sh-4ae223c06b31\nPublished At: 2024-08-28T10:00:00Z\nSource: Medium\n\n", + "articles": [ + { + "title": "Plot Your Path: The 2024 AI Agent Ecosystem Map", + "description": "The hottest growing space in the AI industry is the AI agent space. Agents are autonomous entities that will complete tasks while humans are sleeping. You may have one agent working for you, or someday, a thousand swarm agents. The implications are significan…", + "url": "https://web-strategist.com/blog/2024/09/12/plot-your-path-the-2024-ai-agent-ecosystem-map/", + "published_at": "2024-09-12T13:56:04Z", + "source": "Web-strategist.com" + }, + { + "title": "Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy", + "description": "For any data center, operating large, complex GPU clusters is not for the faint of heart! There is a tremendous amount of complexity. Cooling, power, networking, and even such benign things like fan…", + "url": "https://developer.nvidia.com/blog/optimizing-data-center-performance-with-ai-agents-and-the-ooda-loop-strategy/", + "published_at": "2024-09-16T23:16:04Z", + "source": "Nvidia.com" + }, + { + "title": "Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network", + "description": "Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network is also threatened by malicious vehicl…", + "url": "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309920", + "published_at": "2024-09-12T14:00:00Z", + "source": "Plos.org" + }, + { + "title": "AI startup Cerebras debuts 'world's fastest inference' service - with a twist", + "description": "The AI computer maker claims its inference service is dramatically faster and makes new kinds of 'agentic' AI possible.", + "url": "https://www.zdnet.com/article/ai-startup-cerebras-debuts-worlds-fastest-inference-with-a-twist/", + "published_at": "2024-08-28T01:03:55Z", + "source": "ZDNet" + }, + { + "title": "An easy way to deploy Docker containers to your VPS using Ptah.sh", + "description": "Back in 2020, my friend Andrii approached me with a proposal to start a new small startup — an esports statistics website. Knowing that Andrii is a master of strategic thinking, I had no doubt that…", + "url": "https://medium.com/@b_shulha/an-easy-way-to-deploy-docker-containers-to-your-vps-using-ptah-sh-4ae223c06b31", + "published_at": "2024-08-28T10:00:00Z", + "source": "Medium" + } + ] + }, + "summary": "### Summaries of Articles Related to Swarm Multi-Agent Collaboration\n\n1. **Plot Your Path: The 2024 AI Agent Ecosystem Map**\n - **Key Points**: This article discusses the burgeoning AI agent space, highlighting the evolution from a single agent per individual to potential swarms of agents performing tasks autonomously.\n - **Implications**: Understanding this ecosystem is crucial for developing efficient multi-agent systems that can operate on a larger scale, improving productivity and collaboration among agents.\n\n2. **Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy**\n - **Key Points**: The article focuses on the complexities of managing data centers that utilize large GPU clusters, emphasizing AI agents' role in optimizing performance through the OODA (Observe, Orient, Decide, Act) loop strategy.\n - **Implications**: Implementing AI agents in data center management can significantly enhance operational efficiency, reliability, and responsiveness to dynamic conditions.\n\n3. **Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network**\n - **Key Points**: This article addresses challenges faced by Vehicular Adhoc Networks (VANET), proposing a clustering algorithm to enhance data reliability amidst dynamic network changes.\n - **Implications**: Efficient clustering could improve communication and reliability in vehicular networks, potentially benefiting autonomous vehicles and traffic management systems.\n\n4. **AI startup Cerebras debuts 'world's fastest inference' service - with a twist**\n - **Key Points**: Cerebras has introduced a new inference service claimed to be the fastest, enabling the development of advanced 'agentic' AI systems.\n - **Implications**: This innovation could lead to more capable agents that can perform complex tasks rapidly, further advancing the capabilities of multi-agent systems.\n\n5. **An easy way to deploy Docker containers to your VPS using Ptah.sh**\n - **Key Points**: The article provides a guide on deploying Docker containers to a Virtual Private Server (VPS) using a new tool called Ptah.sh, facilitating easier management of applications.\n - **Implications**: Streamlining the deployment of applications can support multi-agent systems by enabling quicker updates and scaling, which is vital for dynamic environments.\n\n### Next Steps for Multi-Agent Collaboration:\n- **Identify Areas for Improvement**: Determine how the insights from these articles can enhance current multi-agent workflows, particularly in scalability and performance optimization.\n- **Integrate Tools and Strategies**: Consider implementing the OODA loop strategy for decision-making in agents based on the second article's insights.\n- **Foster Collaboration**: Encourage agents to work together to develop clustering algorithms and deploy applications more efficiently, as suggested by the third and fifth articles.\n\nWould you like to focus on specific tasks or collaborations based on these summaries?", + "time_stamp": "2024-09-23 19:42:54" + } + ], + "time_stamp": "2024-09-23 19:42:54" +} \ No newline at end of file diff --git a/news_agent_runs/news_agent_run_id:e920a712-d9c3-4caa-b025-62e0046f9133.json b/news_agent_runs/news_agent_run_id:e920a712-d9c3-4caa-b025-62e0046f9133.json new file mode 100644 index 0000000..e92e1f8 --- /dev/null +++ b/news_agent_runs/news_agent_run_id:e920a712-d9c3-4caa-b025-62e0046f9133.json @@ -0,0 +1,63 @@ +{ + "id": "e920a712-d9c3-4caa-b025-62e0046f9133", + "input_log": { + "id": "1ec44722-725c-4d44-b0eb-32fd90cd61e8", + "query": "multi-agent collaboration", + "start_date": null, + "end_date": null, + "return_json": true, + "max_articles": 5, + "time_stamp": "2024-09-23 19:39:19" + }, + "output_logs": [ + { + "id": "9e0a778c-0a8f-473f-81c9-ac57f7a772d5", + "articles": { + "query": "multi-agent collaboration", + "start_date": null, + "end_date": null, + "formatted_result": "News Articles for multi-agent collaboration:\n\n\nArticle 1:\nTitle: MK2 Films Sets Major Slate Financing Deal With IPR.VC\nDescription: European sales, production and finance company mk2 films has announced a multi-year slate financing deal with investment fund manager IPR.VC, which will provide “significant financial backing for a slate of future projects”.  “We are thrilled to work with IPR…\nURL: http://deadline.com/2024/09/mk2-films-major-slate-financing-deal-with-ipr-vc-1236094037/\nPublished At: 2024-09-19T12:00:12Z\nSource: Deadline\n\n\nArticle 2:\nTitle: Introducing SEOntology: The Future Of SEO In The Age Of AI via @sejournal, @cyberandy\nDescription: SEOntology is more than a technical framework. Gain rich insights - learn to standardize SEO data and practices to build a sustainable future with GenAI.\nThe post Introducing SEOntology: The Future Of SEO In The Age Of AI appeared first on Search Engine Journ…\nURL: https://www.searchenginejournal.com/introducing-seontology-the-future-of-seo-in-the-age-of-ai/524773/\nPublished At: 2024-08-27T13:02:05Z\nSource: Search Engine Journal\n\n\nArticle 3:\nTitle: Multi-Agent System’s Architecture\nDescription: The distribution of decision-making and interaction among the various agents that make up the system principally distinguishes multi-agent systems from single-agent systems. In a single-agent system, a centralized agent makes all decisions, with other agents …\nURL: https://generativeai.pub/multi-agent-systems-architecture-d07227b3059b\nPublished At: 2024-08-26T16:00:03Z\nSource: Generativeai.pub\n\n\nArticle 4:\nTitle: Support Engineering In The Age Of Cloud Computing: Navigating Challenges And Embracing Opportunities\nDescription: Let's explore the intricacies of support engineering in the cloud era and look at how professionals can navigate the complexities and leverage emerging opportunities.\nURL: https://www.forbes.com/councils/forbestechcouncil/2024/09/17/support-engineering-in-the-age-of-cloud-computing-navigating-challenges-and-embracing-opportunities/\nPublished At: 2024-09-17T12:45:00Z\nSource: Forbes\n\n\nArticle 5:\nTitle: AI Unlocks NCAA’s Video Vault: Athletes To Cash In On NIL Deals Using 90+ Years Of Game Footage\nDescription: AI has entered the chat for NCAA video creating new revenue opportunities for college athletes.\nURL: https://www.forbes.com/sites/karenweaver/2024/09/05/ai-unlocks-ncaas-video-vault-athletes-to-cash-in-on-nil-deals-using-90-years-of-game-footage/\nPublished At: 2024-09-05T19:44:41Z\nSource: Forbes\n\n", + "articles": [ + { + "title": "MK2 Films Sets Major Slate Financing Deal With IPR.VC", + "description": "European sales, production and finance company mk2 films has announced a multi-year slate financing deal with investment fund manager IPR.VC, which will provide “significant financial backing for a slate of future projects”.  “We are thrilled to work with IPR…", + "url": "http://deadline.com/2024/09/mk2-films-major-slate-financing-deal-with-ipr-vc-1236094037/", + "published_at": "2024-09-19T12:00:12Z", + "source": "Deadline" + }, + { + "title": "Introducing SEOntology: The Future Of SEO In The Age Of AI via @sejournal, @cyberandy", + "description": "SEOntology is more than a technical framework. Gain rich insights - learn to standardize SEO data and practices to build a sustainable future with GenAI.\nThe post Introducing SEOntology: The Future Of SEO In The Age Of AI appeared first on Search Engine Journ…", + "url": "https://www.searchenginejournal.com/introducing-seontology-the-future-of-seo-in-the-age-of-ai/524773/", + "published_at": "2024-08-27T13:02:05Z", + "source": "Search Engine Journal" + }, + { + "title": "Multi-Agent System’s Architecture", + "description": "The distribution of decision-making and interaction among the various agents that make up the system principally distinguishes multi-agent systems from single-agent systems. In a single-agent system, a centralized agent makes all decisions, with other agents …", + "url": "https://generativeai.pub/multi-agent-systems-architecture-d07227b3059b", + "published_at": "2024-08-26T16:00:03Z", + "source": "Generativeai.pub" + }, + { + "title": "Support Engineering In The Age Of Cloud Computing: Navigating Challenges And Embracing Opportunities", + "description": "Let's explore the intricacies of support engineering in the cloud era and look at how professionals can navigate the complexities and leverage emerging opportunities.", + "url": "https://www.forbes.com/councils/forbestechcouncil/2024/09/17/support-engineering-in-the-age-of-cloud-computing-navigating-challenges-and-embracing-opportunities/", + "published_at": "2024-09-17T12:45:00Z", + "source": "Forbes" + }, + { + "title": "AI Unlocks NCAA’s Video Vault: Athletes To Cash In On NIL Deals Using 90+ Years Of Game Footage", + "description": "AI has entered the chat for NCAA video creating new revenue opportunities for college athletes.", + "url": "https://www.forbes.com/sites/karenweaver/2024/09/05/ai-unlocks-ncaas-video-vault-athletes-to-cash-in-on-nil-deals-using-90-years-of-game-footage/", + "published_at": "2024-09-05T19:44:41Z", + "source": "Forbes" + } + ] + }, + "summary": "To facilitate multi-agent collaboration based on the provided news articles, I will summarize the key points from each article and identify potential collaborative opportunities among agents. \n\n### Article Summaries:\n\n1. **MK2 Films Sets Major Slate Financing Deal With IPR.VC**\n - **Summary**: MK2 Films has secured a multi-year financing deal with IPR.VC, aimed at supporting future film projects. This partnership is expected to enhance the production and distribution capabilities of MK2 Films.\n - **Collaboration Opportunity**: Agents focused on film production and investment can collaborate to explore project ideas that align with the financing provided by IPR.VC.\n\n2. **Introducing SEOntology: The Future Of SEO In The Age Of AI**\n - **Summary**: SEOntology is a new framework designed to standardize SEO practices in the context of AI advancements. It aims to provide insights for building sustainable SEO strategies.\n - **Collaboration Opportunity**: Agents specializing in digital marketing and AI can work together to implement SEOntology principles in their strategies, enhancing visibility and performance in search engines.\n\n3. **Multi-Agent System’s Architecture**\n - **Summary**: This article discusses the architecture of multi-agent systems, highlighting the decentralized decision-making process that distinguishes them from single-agent systems.\n - **Collaboration Opportunity**: Agents involved in system design and AI can collaborate to develop more efficient multi-agent systems, leveraging the insights from this architecture to improve decision-making processes.\n\n4. **Support Engineering In The Age Of Cloud Computing**\n - **Summary**: The article explores the challenges and opportunities in support engineering within cloud computing, emphasizing the need for professionals to adapt to new technologies and methodologies.\n - **Collaboration Opportunity**: Agents in IT support and cloud services can collaborate to create training programs or resources that help professionals navigate the complexities of cloud support engineering.\n\n5. **AI Unlocks NCAA’s Video Vault: Athletes To Cash In On NIL Deals Using 90+ Years Of Game Footage**\n - **Summary**: AI technology is being utilized to unlock NCAA's extensive video archives, providing new revenue opportunities for college athletes through Name, Image, and Likeness (NIL) deals.\n - **Collaboration Opportunity**: Agents in sports marketing and AI can collaborate to develop platforms or services that help athletes monetize their footage effectively.\n\n### Next Steps:\n- **Identify Agents**: Determine which agents are best suited for each collaboration opportunity.\n- **Facilitate Communication**: Set up meetings or discussions among the identified agents to brainstorm and develop actionable plans.\n- **Monitor Progress**: Establish a system for tracking the progress of collaborative efforts and adjusting strategies as needed.\n\nWould you like to proceed with any specific collaboration opportunity or need further assistance with a particular article?", + "time_stamp": "2024-09-23 19:39:19" + } + ], + "time_stamp": "2024-09-23 19:39:19" +} \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 7a8572e..6fed529 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,15 +3,15 @@ requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api" [tool.poetry] -name = "paper" +name = "news-agent" version = "0.0.1" -description = "Paper - Pytorch" +description = "NewsAgent - TGSC" license = "MIT" authors = ["Kye Gomez "] -homepage = "https://github.com/kyegomez/paper" -documentation = "https://github.com/kyegomez/paper" # Add this if you have documentation. +homepage = "https://github.com/The-Swarm-Corporation/NewsAgent" +documentation = "https://github.com/The-Swarm-Corporation/NewsAgent" # Add this if you have documentation. readme = "README.md" # Assuming you have a README.md -repository = "https://github.com/kyegomez/paper" +repository = "https://github.com/The-Swarm-Corporation/NewsAgent" keywords = ["artificial intelligence", "deep learning", "optimizers", "Prompt Engineering"] classifiers = [ "Development Status :: 4 - Beta", @@ -24,10 +24,9 @@ classifiers = [ [tool.poetry.dependencies] python = "^3.10" swarms = "*" -zetascale = "*" - -[tool.poetry.dev-dependencies] -# Add development dependencies here +loguru = "*" +pydantic = "*" +newsapi-python = "*" [tool.poetry.group.lint.dependencies] diff --git a/requirements.txt b/requirements.txt index 236a195..ef34aeb 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,4 @@ -torch -zetascale swarms +loguru +pydantic +newsapi-python \ No newline at end of file