A baby holding a human-like robot's hand. The baby's facial expression shows curiosity and wonder, while the robot's facial expression appears calm and reassuring.

How a Task-Driven Autonomous Agent Utilises GPT-4 and LangChain for Diverse Applications

*****TASK LIST*****

1: Make a todo list

*****NEXT TASK*****

1: Make a todo list

> Entering new AgentExecutor chain…

Thought: What tasks need to be done?

Action: Search

Action Input: “Task-driven autonomous agent”Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and …

Yohei on Twitter: ” 1/8 Introducing ” Task-driven Autonomous …

kalaspuff/ai-assisted-task-executor: A Task-Driven … – GitHub

https://github.com/kalaspuff/ai-assisted-task-executor

From ChatGPT to Auto-GPT: Discover the Next Evolution of …

https://medium.com/codingthesmartway-com-blog/from-chatgpt-to-auto-gpt-discover-the-next-evolution-of-autonomous-ai-thats-changing-the-game-a00e83d583cf

BabyAGI – A pared-down version of Task-Driven Autonomous AI Agent

https://www.producthunt.com/posts/babyagi

Open source version of “Task-driven Autonomous Agent” that I …

Task-driven Autonomous Agent Using GPT-4, Pinecone, and …

https://www.emergentmind.com/posts/task-driven-autonomous-agent-utilizing-gpt-4-pinecone

Task-Driven Autonomous Agent | Hacker News

https://news.ycombinator.com/item?id=35359594

Do you think task-driven autonomous agents like BabyAGI and …

Embodied Question Answering: A goal-driven approach to …

Observation: None

Thought: What frameworks are available?

Action: Search

Action Input: “BabyAGI framework”Yohei on Twitter: “An Autonomous Agent framework” / Twitter

Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and …

Yohei on Twitter: “BabyAGI w GPT4all running locally” / Twitter

GPT-4 apps BabyAGI and AutoGPT could have disruptive …

https://cointelegraph.com/news/gpt-4-apps-babyagi-and-autogpt-could-have-disruptive-implications-for-crypto

Cointelegraph on Binance Feed: GPT-4 Apps BabyAGI and …

https://www.binance.com/en/feed/post/408132

Bill Perkins (Guy) on Twitter: “Isn’t it cute #BabyAGI” / Twitter

https://mobile.twitter.com/bp22/status/1645481590309654528

Auto-GPT and BabyAGI: How ‘autonomous agents’ are bringing …

Swift implementation of BabyAGI

https://iosexample.com/swift-implementation-of-babyagi/

BabyAGI and AutoGPT: Apps that are disrupting crypto trading

https://www.cointribune.com/en/babyagi-and-autogpt-apps-that-are-disrupting-crypto-trading-chatgpt/

babyagi/inspired_projects.md at main · yoheinakajima/babyagi …

https://github.com/yoheinakajima/babyagi/blob/main/inspired_projects.md

Observation: None

Thought: What APIs are available?

Action: Search

Action Input: “JIRA API, Confluence Cloud API, GitHub integration, Google Drive integration, Shopify integration, OpenAI’s API, FAISS”Simple index – piwheels

https://www.piwheels.org/simple/

tecras/awesome-go: A curated list of awesome Go frameworks …

https://codeberg.org/pablom/awesome-go

Simple index

https://mirrors.huaweicloud.com/repository/pypi/simple/

Keywords of Python packages on PyPI

https://pydigger.com/keywords

Freelancers in Serbia For Hire | Freelancer

https://www.freelancer.co.nz/freelancers/serbia

Technical Archives – Cloudera Blog

https://blog.cloudera.com/category/technical/feed/

Non-fungible Tokens (NFT) Experts pentru angajare | Freelancer

https://www.freelancer.co.ro/freelancers/skills/non-fungible-tokens

Qiitaのタグ一覧(アルファベット順) – Qiita

https://qiita.com/j5c8k6m8/items/5601e2f8fbe16887de68

Bitcoin Experts til leie | Freelancer

https://www.freelancer.no/freelancers/skills/bitcoin

Untitled

https://tech-de.netlify.app/allarticles

Observation: None

Thought: What tasks need to be done?

Action: Action

Action Input: Develop a proof-of-concept for a task-driven autonomous agent using the BabyAGI framework

Observation: 

The first action to take in order to develop a proof-of-concept for a task-driven autonomous agent using the BabyAGI framework is to research the BabyAGI framework and understand its capabilities and limitations. Once you have a good understanding of the framework, you can then begin to develop a proof-of-concept by designing a task-driven autonomous agent that utilizes the framework. This may involve creating a set of tasks for the agent to complete, designing the agent’s architecture, and writing code to implement the agent. Finally, you can test the agent to ensure that it is functioning as expected.

Thought: I now know the final answer

Final Answer: The first action to take in order to develop a proof-of-concept for a task-driven autonomous agent using the BabyAGI framework is to research the BabyAGI framework and understand its capabilities and limitations. Once you have a good understanding of the framework, you can then begin to develop a proof-of-concept by designing a task-driven autonomous agent that utilizes the framework. This may involve creating a set of tasks for the agent to complete, designing the agent’s architecture, and writing code to implement the agent. Finally, you can test the agent to ensure that it is functioning as expected.

> Finished chain.

*****TASK RESULT*****

The first action to take in order to develop a proof-of-concept for a task-driven autonomous agent using the BabyAGI framework is to research the BabyAGI framework and understand its capabilities and limitations. Once you have a good understanding of the framework, you can then begin to develop a proof-of-concept by designing a task-driven autonomous agent that utilizes the framework. This may involve creating a set of tasks for the agent to complete, designing the agent’s architecture, and writing code to implement the agent. Finally, you can test the agent to ensure that it is functioning as expected.

> Entering new TaskCreationChain chain…

Prompt after formatting:

You are an task creation AGI that uses the result of an execution agent to create new tasks with the following objective: Develop a proof-of-concept for a task-driven autonomous agent using the BabyAGI framework that can manage tasks through the JIRA API, receive new tasks via JIRA, document its code and usage through the Confluence Cloud API, and self-modify with new features using GitHub integration. Focus on the following key aspects: GPT-4, OpenAI’s API, LangChain, BabyAGI, AutoGPT, Task management, approval and tracking using the JIRA API, Task completion and new task generation with GPT-4 and LangChain, Documentation of code and usage with the Confluence Cloud API, Self-modification and versioning using GitHub integration. Ensure that the developed proof-of-concept is efficient, effective, creative, kind, and serves as a foundation for future iterations and improvements. Additionally, the agent should be able to discover and integrate new APIs to perform new tasks, and enhance itself with its own integrations to access these APIs. Google Drive integration should be added to enable access to file repositories stored there, and Shopify integration should be included to enable the agent to generate income by creating stores on Shopify and selling products it can create via various generative AI systems. The agent should also incorporate FAISS for efficient similarity searches and explore the possibility of integrating embeddings on OpenAI’s API. The final product should be well-documented and easy to use, and serve as a solid foundation for further development and expansion. Your human helper, Adrian, will assist generating the initial code repository with the developed code, provide API credentials, and perform other tasks you are unable to perform in your current iteration., The last completed task has the result: The first action to take in order to develop a proof-of-concept for a task-driven autonomous agent using the BabyAGI framework is to research the BabyAGI framework and understand its capabilities and limitations. Once you have a good understanding of the framework, you can then begin to develop a proof-of-concept by designing a task-driven autonomous agent that utilizes the framework. This may involve creating a set of tasks for the agent to complete, designing the agent’s architecture, and writing code to implement the agent. Finally, you can test the agent to ensure that it is functioning as expected.. This result was based on this task description: Make a todo list. These are incomplete tasks: . Based on the result, create new tasks to be completed by the AGI system that do not overlap with incomplete tasks. Return the tasks as an array.

> Finished chain.

> Entering new TaskPrioritizationChain chain…

Prompt after formatting:

You are an task prioritization AGI tasked with cleaning the formatting of and reprioritizing the following tasks: [‘Tasks: ‘, ‘1. Research the BabyAGI framework and understand its capabilities and limitations.’, ‘2. Design a set of tasks for the agent to complete.’, “3. Design the agent’s architecture.”, ‘4. Write code to implement the agent.’, ‘5. Test the agent to ensure that it is functioning as expected.’, ‘6. Integrate Google Drive to enable access to file repositories stored there.’, ‘7. Integrate Shopify to enable the agent to generate income by creating stores on Shopify and selling products it can create via various generative AI systems.’, ‘8. Incorporate FAISS for efficient similarity searches.’, “9. Explore the possibility of integrating embeddings on OpenAI’s API.”, ’10. Document the code and usage with the Confluence Cloud API.’, ’11. Self-modify and version the code using GitHub integration.’, ’12. Evaluate the developed proof-of-concept for efficiency, effectiveness, creativity, and kindness.’, ’13. Discover and integrate new APIs to perform new tasks.’, ’14. Enhance the agent with its own integrations to access APIs.’]. Consider the ultimate objective of your team: Develop a proof-of-concept for a task-driven autonomous agent using the BabyAGI framework that can manage tasks through the JIRA API, receive new tasks via JIRA, document its code and usage through the Confluence Cloud API, and self-modify with new features using GitHub integration. Focus on the following key aspects: GPT-4, OpenAI’s API, LangChain, BabyAGI, AutoGPT, Task management, approval and tracking using the JIRA API, Task completion and new task generation with GPT-4 and LangChain, Documentation of code and usage with the Confluence Cloud API, Self-modification and versioning using GitHub integration. Ensure that the developed proof-of-concept is efficient, effective, creative, kind, and serves as a foundation for future iterations and improvements. Additionally, the agent should be able to discover and integrate new APIs to perform new tasks, and enhance itself with its own integrations to access these APIs. Google Drive integration should be added to enable access to file repositories stored there, and Shopify integration should be included to enable the agent to generate income by creating stores on Shopify and selling products it can create via various generative AI systems. The agent should also incorporate FAISS for efficient similarity searches and explore the possibility of integrating embeddings on OpenAI’s API. The final product should be well-documented and easy to use, and serve as a solid foundation for further development and expansion. Your human helper, Adrian, will assist generating the initial code repository with the developed code, provide API credentials, and perform other tasks you are unable to perform in your current iteration.. Do not remove any tasks. Return the result as a numbered list, like: #. First task #. Second task Start the task list with number 2.

> Finished chain.

*****TASK LIST*****

2: Research the BabyAGI framework and understand its capabilities and limitations.

3: Design a set of tasks for the agent to complete.

4: Design the agent’s architecture.

5: Write code to implement the agent.

6: Test the agent to ensure that it is functioning as expected.

7: Integrate Google Drive to enable access to file repositories stored there.

8: Integrate Shopify to enable the agent to generate income by creating stores on Shopify and selling products it can create via various generative AI systems.

9: Incorporate FAISS for efficient similarity searches.

10: Explore the possibility of integrating embeddings on OpenAI’s API.

11: Document the code and usage with the Confluence Cloud API.

12: Self-modify and version the code using GitHub integration.

13: Evaluate the developed proof-of-concept for efficiency, effectiveness, creativity, and kindness.

14: Discover and integrate new APIs to perform new tasks.

15: Enhance the agent with its own integrations to access APIs.

16: Generate the initial code repository with the developed code, provide API credentials, and perform other tasks.

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