Front end for Agent-LLM.

Related tags

Learning resource Agent-LLM-Frontend
Overview

Agent-LLM (Large Language Model), Front End

RELEASE STATUS LICENSE: MIT DOCKER CODESTYLE

GitHub

Contribute Contribute Discord Twitter FacebookGroup EMail

Please use the outreach email for media, sponsorship, or to contact us for other miscellaneous purposes.

Do not send us emails with troubleshooting requests, feature requests or bug reports, please direct those to GitHub Issues or Discord.

Agent-LLM is an Artificial Intelligence Automation Platform designed to power efficient AI instruction management across multiple providers. Our agents are equipped with adaptive memory, and this versatile solution offers a powerful plugin system that supports a wide range of commands, including web browsing. With growing support for numerous AI providers and models, Agent-LLM is constantly evolving to empower diverse applications.

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Front-End Quickstart

After you have run the Agent-LLM back end, follow these instructions below:

git clone https://github.com/JamesonRGrieve/Agent-LLM-Frontend --recurse-submodules 
cd Agent-LLM-Frontend
yarn install
yarn dev

Access at http://localhost:3000

Contributing

Contribute

We welcome contributions to Agent-LLM! If you're interested in contributing, please check out our contributions guide the open issues on the backend, open issues on the frontend and pull requests, submit a pull request, or suggest new features. To stay updated on the project's progress, Twitter, Twitter and Twitter. Also feel free to join our Discord.

Donations and Sponsorships

We appreciate any support for Agent-LLM's development, including donations, sponsorships, and any other kind of assistance. If you would like to support us, please contact us through our EMail , Discord or Twitter.

We're always looking for ways to improve Agent-LLM and make it more useful for our users. Your support will help us continue to develop and enhance the application. Thank you for considering to support us!

Our Team 🧑‍💻

Josh (@Josh-XT) James (@JamesonRGrieve)
GitHub GitHub
Twitter Twitter
LinkedIn LinkedIn
Comments
  • TypeError: sequence item 3: expected str instance, list found

    TypeError: sequence item 3: expected str instance, list found

    Description

    Bug when starting a new task:

    Executing task 1: Develop a task list.

    Exception in thread Thread-2 (run_task): Traceback (most recent call last): File "/home/brice/miniconda3/envs/agent/lib/python3.10/threading.py", line 1016, in _bootstrap_inner self.run() File "/home/brice/miniconda3/envs/agent/lib/python3.10/threading.py", line 953, in run self._target(*self._args, **self._kwargs) File "/home/brice/Agent-LLM/AgentLLM.py", line 364, in run_task result = self.run(task=task["task_name"], prompt="execute") File "/home/brice/Agent-LLM/AgentLLM.py", line 149, in run formatted_prompt, unformatted_prompt = self.format_prompt( File "/home/brice/Agent-LLM/AgentLLM.py", line 128, in format_prompt formatted_prompt = self.custom_format( File "/home/brice/Agent-LLM/AgentLLM.py", line 101, in custom_format return re.sub(pattern, replace, string) File "/home/brice/miniconda3/envs/agent/lib/python3.10/re.py", line 209, in sub return _compile(pattern, flags).sub(repl, string, count) TypeError: sequence item 3: expected str instance, list found

    Steps to Reproduce the Bug

    Ubuntu 22.04 Conda environment with python 3.10 No docker

    Launch backend with python app.py & frontend with yarn run dev

    Create a new Agent, Oobabooga, and launch a task

    Expected Behavior

    No error

    Actual Behavior

    ==Output==

    Executing task 1: Develop a task list.

    Exception in thread Thread-2 (run_task): Traceback (most recent call last): File "/home/brice/miniconda3/envs/agent/lib/python3.10/threading.py", line 1016, in _bootstrap_inner self.run() File "/home/brice/miniconda3/envs/agent/lib/python3.10/threading.py", line 953, in run self._target(*self._args, **self._kwargs) File "/home/brice/Agent-LLM/AgentLLM.py", line 364, in run_task result = self.run(task=task["task_name"], prompt="execute") File "/home/brice/Agent-LLM/AgentLLM.py", line 149, in run formatted_prompt, unformatted_prompt = self.format_prompt( File "/home/brice/Agent-LLM/AgentLLM.py", line 128, in format_prompt formatted_prompt = self.custom_format( File "/home/brice/Agent-LLM/AgentLLM.py", line 101, in custom_format return re.sub(pattern, replace, "".join(string)) File "/home/brice/miniconda3/envs/agent/lib/python3.10/re.py", line 209, in sub return _compile(pattern, flags).sub(repl, string, count) TypeError: sequence item 3: expected str instance, list found INFO: 127.0.0.1:55720 - "GET /api/agent/Vicuna/task/status HTTP/1.1" 200 OK

    Additional Context / Screenshots

    No response

    Operating System

    • [ ] Microsoft Windows
    • [ ] Apple MacOS
    • [X] Linux
    • [ ] Android
    • [ ] iOS
    • [ ] Other

    Python Version

    • [ ] Python <= 3.9
    • [X] Python 3.10
    • [ ] Python 3.11

    Environment Type - Connection

    • [X] Local
    • [ ] Remote

    Environment Type - Container

    • [ ] Using Docker
    • [X] Not Using Docker

    Acknowledgements

    • [X] My issue title is concise, descriptive, and in title casing.
    • [X] I have searched the existing issues to make sure this bug has not been reported yet.
    • [X] I am using the latest version of Agent-LLM.
    • [X] I have provided enough information for the maintainers to reproduce and diagnose the issue.
    opened by med4u 1
  • Can't access existing agent after docker container or instance has been restarted

    Can't access existing agent after docker container or instance has been restarted

    Description

    when you select the agents after the instance of the agent-llm has been restarted with docker or instance you can't access that agent it won't go to it nothing happens if you try selecting it.

    Steps to Reproduce the Bug

    1.restart instance or docker container 2.Go to agent-llm 3.Select Agents 4.try to select a existing agent 3.issue will happen

    Expected Behavior

    When clicking the agent it should bring up the configuration and settings for the agent.

    Actual Behavior

    It won't go to the agent settings when you try to select the existing agent.

    Additional Context / Screenshots

    On "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36"

    Operating System

    • [ ] Microsoft Windows
    • [ ] Apple MacOS
    • [X] Linux
    • [ ] Android
    • [ ] iOS
    • [ ] Other

    Python Version

    • [ ] Python <= 3.9
    • [X] Python 3.10
    • [ ] Python 3.11

    Environment Type - Connection

    • [X] Local
    • [ ] Remote

    Environment Type - Container

    • [X] Using Docker
    • [X] Not Using Docker

    Acknowledgements

    • [X] My issue title is concise, descriptive, and in title casing.
    • [X] I have searched the existing issues to make sure this bug has not been reported yet.
    • [X] I am using the latest version of Agent-LLM.
    • [X] I have provided enough information for the maintainers to reproduce and diagnose the issue.
    opened by greengeckowizard 0
  • Yarn install and dev missing

    Yarn install and dev missing

    Description

    00h00m00s 0/0: : ERROR: [Errno 2] No such file or directory: 'dev'

    Steps to Reproduce the Bug

    Follow the install guide

    Expected Behavior

    Complete

    Actual Behavior

    Install and run

    Additional Context / Screenshots

    No response

    Operating System

    • [ ] Microsoft Windows
    • [ ] Apple MacOS
    • [X] Linux
    • [ ] Android
    • [ ] iOS
    • [ ] Other

    Python Version

    • [ ] Python <= 3.9
    • [ ] Python 3.10
    • [ ] Python 3.11

    Environment Type - Connection

    • [X] Local
    • [ ] Remote

    Environment Type - Container

    • [ ] Using Docker
    • [X] Not Using Docker

    Acknowledgements

    • [X] My issue title is concise, descriptive, and in title casing.
    • [X] I have searched the existing issues to make sure this bug has not been reported yet.
    • [X] I am using the latest version of Agent-LLM.
    • [X] I have provided enough information for the maintainers to reproduce and diagnose the issue.
    opened by orophix 1
  • Error ECONNREFUSED

    Error ECONNREFUSED

    Description

    When I start frontend this error appears error - unhandledRejection: Error: connect ECONNREFUSED ::1:7437 at AxiosError.from (file:///Users/timur/Downloads/Agent-LLM-main/frontend/node_modules/axios/lib/core/AxiosError.js:89:14) at RedirectableRequest.handleRequestError (file:///Users/timur/Downloads/Agent-LLM-main/frontend/node_modules/axios/lib/adapters/http.js:591:25) at RedirectableRequest.emit (node:events:513:28) at eventHandlers. (/Users/timur/Downloads/Agent-LLM-main/frontend/node_modules/follow-redirects/index.js:14:24) at ClientRequest.emit (node:events:513:28) at Socket.socketErrorListener (node:_http_client:502:9) at Socket.emit (node:events:513:28) at emitErrorNT (node:internal/streams/destroy:151:8) at emitErrorCloseNT (node:internal/streams/destroy:116:3) at process.processTicksAndRejections (node:internal/process/task_queues:82:21) { digest: undefined } Promise { } { mutate: [Function (anonymous)], data: [Getter], error: [Getter], isValidating: [Getter], isLoading: [Getter] } error - unhandledRejection: Error: connect ECONNREFUSED ::1:7437 at AxiosError.from (file:///Users/timur/Downloads/Agent-LLM-main/frontend/node_modules/axios/lib/core/AxiosError.js:89:14) at RedirectableRequest.handleRequestError (file:///Users/timur/Downloads/Agent-LLM-main/frontend/node_modules/axios/lib/adapters/http.js:591:25) at RedirectableRequest.emit (node:events:513:28) at eventHandlers. (/Users/timur/Downloads/Agent-LLM-main/frontend/node_modules/follow-redirects/index.js:14:24) at ClientRequest.emit (node:events:513:28) at Socket.socketErrorListener (node:_http_client:502:9) at Socket.emit (node:events:513:28) at emitErrorNT (node:internal/streams/destroy:151:8) at emitErrorCloseNT (node:internal/streams/destroy:116:3) at process.processTicksAndRejections (node:internal/process/task_queues:82:21) { digest: undefined }

    Steps to Reproduce the Bug

    Start backend Start frontend Go to the agent page

    Expected Behavior

    No errors

    Actual Behavior

    This error occurs.

    Additional Context / Screenshots

    No response

    Operating System

    • [ ] Microsoft Windows
    • [X] Apple MacOS
    • [ ] Linux
    • [ ] Android
    • [ ] iOS
    • [ ] Other

    Python Version

    • [ ] Python <= 3.9
    • [ ] Python 3.10
    • [X] Python 3.11

    Environment Type - Connection

    • [X] Local
    • [ ] Remote

    Environment Type - Container

    • [ ] Using Docker
    • [X] Not Using Docker

    Acknowledgements

    • [X] My issue title is concise, descriptive, and in title casing.
    • [X] I have searched the existing issues to make sure this bug has not been reported yet.
    • [X] I am using the latest version of Agent-LLM.
    • [X] I have provided enough information for the maintainers to reproduce and diagnose the issue.
    opened by timuryunuk2023 0
  • Can access the webUI, and make a new agent, but can't have the agent do anything with openAI API key

    Can access the webUI, and make a new agent, but can't have the agent do anything with openAI API key

    Description

    I've edited the .env file with my openAI API key and configured the agent via the webUI, I've tried the default gpt-3.5-turbo too, but nothing happens if I try to do any of the Chat, Instruct, or Task agent commands.

    Any ideas :3

    Also, I do have access to the gpt-4 api, I can successfully use it with Auto-GPT.

    Steps to Reproduce the Bug

    Install the latest alpha version or the main version and follow the docker install instructions.

    Expected Behavior

    Expecting some type of response back, but get nothing after trying the chat, instruct, or task agent commands.

    Actual Behavior

    I click on "start pursing task" for example and nothing happens.

    Additional Context / Screenshots

    236642689-67e1bf3b-fd48-4d47-992a-3eb386a6f0ba

    Operating System

    • [X] Microsoft Windows
    • [ ] Apple MacOS
    • [ ] Linux
    • [ ] Android
    • [ ] iOS
    • [ ] Other

    Python Version

    • [ ] Python <= 3.9
    • [X] Python 3.10
    • [ ] Python 3.11

    Environment Type - Connection

    • [X] Local
    • [ ] Remote

    Environment Type - Container

    • [X] Using Docker
    • [ ] Not Using Docker

    Acknowledgements

    • [X] My issue title is concise, descriptive, and in title casing.
    • [X] I have searched the existing issues to make sure this bug has not been reported yet.
    • [X] I am using the latest version of Agent-LLM.
    • [X] I have provided enough information for the maintainers to reproduce and diagnose the issue.
    opened by RandomInternetPreson 0
  • Text appears in the agent text file but not in the gui.

    Text appears in the agent text file but not in the gui.

    Description

    When you assign a task to the agent it will not show in the GUI the results but the output is written to a text file in the agent folder.

    34534523423423123 Find 5 latest news headlines on May, 05, 2023 related to Technology..txt

    Steps to Reproduce the Bug

    Assign a task to the agent it will not show in the GUI the results but the output is written to a text file in the agent folder.

    Expected Behavior

    For the output of the agent to appear in the GUI under the task agent.

    Actual Behavior

    34534523423423123

    Additional Context / Screenshots

    There is output generated by the agent but not appearing in the GUI. 127.0.0.1 - - [07/May/2023 18:05:40] "POST /api/v1/generate HTTP/1.1" 200 - Output generated in 105.28 seconds (0.87 tokens/s, 92 tokens, context 24, seed 200956049) 127.0.0.1 - - [07/May/2023 18:08:28] "POST /api/v1/generate HTTP/1.1" 200 - Output generated in 496.88 seconds (0.64 tokens/s, 318 tokens, context 398, seed 763687500) 127.0.0.1 - - [07/May/2023 18:16:45] "POST /api/v1/generate HTTP/1.1" 200 - Output generated in 166.63 seconds (0.00 tokens/s, 0 tokens, context 409, seed 469111486) 127.0.0.1 - - [07/May/2023 18:19:32] "POST /api/v1/generate HTTP/1.1" 200 - Output generated in 100.66 seconds (0.59 tokens/s, 59 tokens, context 102, seed 4115488) 127.0.0.1 - - [07/May/2023 18:21:12] "POST /api/v1/generate HTTP/1.1" 200 - Output generated in 867.37 seconds (0.78 tokens/s, 673 tokens, context 416, seed 948141595) 127.0.0.1 - - [07/May/2023 18:35:40] "POST /api/v1/generate HTTP/1.1" 200 - Output generated in 357.99 seconds (0.00 tokens/s, 0 tokens, context 855, seed 588820203) 127.0.0.1 - - [07/May/2023 18:41:38] "POST /api/v1/generate HTTP/1.1" 200 - Output generated in 116.96 seconds (0.50 tokens/s, 59 tokens, context 128, seed 755310477) 127.0.0.1 - - [07/May/2023 18:43:35] "POST /api/v1/generate HTTP/1.1" 200 -

    Operating System

    • [X] Microsoft Windows
    • [ ] Apple MacOS
    • [ ] Linux
    • [ ] Android
    • [ ] iOS
    • [ ] Other

    Python Version

    • [ ] Python <= 3.9
    • [X] Python 3.10
    • [ ] Python 3.11

    Environment Type - Connection

    • [X] Local
    • [ ] Remote

    Environment Type - Container

    • [ ] Using Docker
    • [X] Not Using Docker

    Acknowledgements

    • [X] My issue title is concise, descriptive, and in title casing.
    • [X] I have searched the existing issues to make sure this bug has not been reported yet.
    • [X] I am using the latest version of Agent-LLM.
    • [X] I have provided enough information for the maintainers to reproduce and diagnose the issue.
    opened by CRCODE22 1
Releases(v1.1.8-alpha)
Owner
Jameson Grieve
Jameson Grieve
GitHub
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