Merge branch 'master' into summary_memory

.env.template

@@ -18,40 +18,13 @@
 ## EXIT_KEY - Key to exit AUTO-GPT
 # EXIT_KEY=n
 
-## DISABLED_COMMAND_CATEGORIES - The list of categories of commands that are disabled. Each of the below are an option:
-## autogpt.commands.analyze_code
-## autogpt.commands.audio_text
-## autogpt.commands.execute_code
-## autogpt.commands.file_operations
-## autogpt.commands.git_operations
-## autogpt.commands.google_search
-## autogpt.commands.image_gen
-## autogpt.commands.improve_code
-## autogpt.commands.twitter
-## autogpt.commands.web_selenium
-## autogpt.commands.write_tests
-## autogpt.app
-## autogpt.commands.task_statuses
-## For example, to disable coding related features, uncomment the next line
-# DISABLED_COMMAND_CATEGORIES=autogpt.commands.analyze_code,autogpt.commands.execute_code,autogpt.commands.git_operations,autogpt.commands.improve_code,autogpt.commands.write_tests
-
 ################################################################################
 ### LLM PROVIDER
 ################################################################################
 
 ### OPENAI
 ## OPENAI_API_KEY - OpenAI API Key (Example: my-openai-api-key)
-
-
-## NOTE: https://platform.openai.com/docs/api-reference/completions
-# The temperature setting in language models like GPT controls the balance between predictable and random responses. 
-# Lower temperature makes the responses more focused and deterministic, while higher temperature makes them more 
-# creative and varied. The temperature range typically goes from 0 to 2 in OpenAI's implementation.
-##
 ## TEMPERATURE - Sets temperature in OpenAI (Default: 0)
-##
-###
-
 ## USE_AZURE - Use Azure OpenAI or not (Default: False)
 OPENAI_API_KEY=your-openai-api-key
 # TEMPERATURE=0
@@ -76,14 +49,6 @@ OPENAI_API_KEY=your-openai-api-key
 # FAST_TOKEN_LIMIT=4000
 # SMART_TOKEN_LIMIT=8000
 
-### EMBEDDINGS
-## EMBEDDING_MODEL       - Model to use for creating embeddings
-## EMBEDDING_TOKENIZER   - Tokenizer to use for chunking large inputs
-## EMBEDDING_TOKEN_LIMIT - Chunk size limit for large inputs
-# EMBEDDING_MODEL=text-embedding-ada-002
-# EMBEDDING_TOKENIZER=cl100k_base
-# EMBEDDING_TOKEN_LIMIT=8191
-
 ################################################################################
 ### MEMORY
 ################################################################################
@@ -192,7 +157,7 @@ OPENAI_API_KEY=your-openai-api-key
 ### BROWSER
 ## HEADLESS_BROWSER - Whether to run the browser in headless mode (default: True)
 ## USE_WEB_BROWSER - Sets the web-browser driver to use with selenium (default: chrome).
-##   Note: set this to either 'chrome', 'firefox', 'safari' or 'edge' depending on your current browser
+##   Note: set this to either 'chrome', 'firefox', or 'safari' depending on your current browser
 # HEADLESS_BROWSER=True
 # USE_WEB_BROWSER=chrome
 ## BROWSE_CHUNK_MAX_LENGTH - When browsing website, define the length of chunks to summarize (in number of tokens, excluding the response. 75 % of FAST_TOKEN_LIMIT is usually wise )
@@ -240,9 +205,7 @@ OPENAI_API_KEY=your-openai-api-key
 ################################################################################
 
 #ALLOWLISTED_PLUGINS - Sets the listed plugins that are allowed (Example: plugin1,plugin2,plugin3)
-#DENYLISTED_PLUGINS - Sets the listed plugins that are not allowed (Example: plugin1,plugin2,plugin3)
 ALLOWLISTED_PLUGINS=
-DENYLISTED_PLUGINS=
 
 ################################################################################
 ### CHAT PLUGIN SETTINGS

.github/CODEOWNERS

@@ -1 +0,0 @@
-.github/workflows/ @Significant-Gravitas/Auto-GPT-Source

.github/ISSUE_TEMPLATE/1.bug.yml

@@ -9,7 +9,6 @@ body:
         * Check out our [backlog], [roadmap] and join our [discord] to discuss what's going on
         * If you need help, you can ask in the [discussions] section or in [#tech-support]
         * **Throughly search the [existing issues] before creating a new one**
-        * Read our [wiki page on Contributing]
 
         [backlog]: https://github.com/orgs/Significant-Gravitas/projects/1
         [roadmap]: https://github.com/orgs/Significant-Gravitas/projects/2  
@@ -17,7 +16,6 @@ body:
         [discussions]: https://github.com/Significant-Gravitas/Auto-GPT/discussions
         [#tech-support]: https://discord.com/channels/1092243196446249134/1092275629602394184
         [existing issues]: https://github.com/Significant-Gravitas/Auto-GPT/issues?q=is%3Aissue
-        [wiki page on Contributing]: https://github.com/Significant-Gravitas/Auto-GPT/wiki/Contributing
   - type: checkboxes
     attributes:
       label: ⚠️ Search for existing issues first ⚠️

.github/ISSUE_TEMPLATE/2.feature.yml

@@ -1,12 +1,13 @@
 name: Feature request 🚀
-description: Suggest a new idea for Auto-GPT!
+description: Suggest a new idea for Auto-GPT.
 labels: ['status: needs triage']
 body:
   - type: markdown
     attributes:
       value: |
-        First, check out our [wiki page on Contributing](https://github.com/Significant-Gravitas/Auto-GPT/wiki/Contributing)
         Please provide a searchable summary of the issue in the title above ⬆️.
+
+        Thanks for contributing by creating an issue! ❤️
   - type: checkboxes
     attributes:
       label: Duplicates
@@ -25,4 +26,4 @@ body:
   - type: textarea
     attributes:
       label: Motivation 🔦
-      description: What are you trying to accomplish? How has the lack of this feature affected you? Providing context helps us come up with a solution that is more useful in the real world.
+      description: What are you trying to accomplish? How has the lack of this feature affected you? Providing context helps us come up with a solution that is more useful in the real world.

.github/PULL_REQUEST_TEMPLATE.md

@@ -14,8 +14,6 @@ Provide clear documentation and explanations of the changes made.
 Ensure diffs are limited to the intended lines — no applying preferred formatting styles or line endings (unless that's what the PR is about).
 For guidance on committing only the specific lines you have changed, refer to this helpful video: https://youtu.be/8-hSNHHbiZg
 
-Check out our [wiki page on Contributing](https://github.com/Significant-Gravitas/Auto-GPT/wiki/Contributing)
-
 By following these guidelines, your PRs are more likely to be merged quickly after testing, as long as they align with the project's overall direction. -->
 
 ### Background

.github/workflows/add-cassettes.yml

@@ -1,49 +0,0 @@
-name: Merge and Commit Cassettes
-
-on:
-  pull_request_target:
-    types:
-      - closed
-
-jobs:
-  update-cassettes:
-    if: github.event.pull_request.merged == true
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v3
-        with:
-          fetch-depth: 0  # This is necessary to fetch all branches and tags
-
-      - name: Fetch all branches
-        run: git fetch --all
-
-      - name: Reset branch
-        run: |
-          git checkout ${{ github.event.pull_request.base.ref }}
-          git reset --hard origin/cassette-diff-${{ github.event.pull_request.number }}
-
-      - name: Create PR
-        id: create_pr
-        uses: peter-evans/create-pull-request@v5
-        with:
-          commit-message: Update cassettes
-          signoff: false
-          branch: cassette-diff-${{ github.event.pull_request.number }}
-          delete-branch: false
-          title: "Update cassettes"
-          body: "This PR updates the cassettes."
-          draft: false
-
-      - name: Check PR
-        run: |
-          echo "Pull Request Number - ${{ steps.create_pr.outputs.pull-request-number }}"
-          echo "Pull Request URL - ${{ steps.create_pr.outputs.pull-request-url }}"
-
-      - name: Comment PR URL in the current PR
-        uses: thollander/actions-comment-pull-request@v2
-        with:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          message: |
-            New pull request created for cassettes: [HERE](${{ steps.create_pr.outputs.pull-request-url }}). Please merge it asap.

.github/workflows/ci.yml

@@ -3,12 +3,12 @@ name: Python CI
 on:
   push:
     branches: [ master ]
-  pull_request_target:
-    branches: [ master, stable ]
+  pull_request:
+    branches: [ master ]
 
 concurrency:
   group: ${{ format('ci-{0}', github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha) }}
-  cancel-in-progress: ${{ github.event_name == 'pull_request_target' }}
+  cancel-in-progress: ${{ github.event_name == 'pull_request' }}
 
 jobs:
   lint:
@@ -19,10 +19,6 @@ jobs:
     steps:
       - name: Checkout repository
         uses: actions/checkout@v3
-        with:
-          fetch-depth: 0
-          ref: ${{ github.event.pull_request.head.ref }}
-          repository: ${{ github.event.pull_request.head.repo.full_name }}
 
       - name: Set up Python ${{ env.min-python-version }}
         uses: actions/setup-python@v2
@@ -57,15 +53,11 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.10"]
+        python-version: ["3.10", "3.11"]
 
     steps:
       - name: Check out repository
         uses: actions/checkout@v3
-        with:
-          fetch-depth: 0
-          ref: ${{ github.event.pull_request.head.ref }}
-          repository: ${{ github.event.pull_request.head.repo.full_name }}
 
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v2
@@ -79,23 +71,7 @@ jobs:
 
       - name: Run unittest tests with coverage
         run: |
-          pytest -n auto --cov=autogpt --cov-report term-missing --cov-branch --cov-report xml --cov-report term
-        env:
-          CI: true
-          PROXY: ${{ vars.PROXY }}
-          AGENT_MODE: ${{ vars.AGENT_MODE }}
-          AGENT_TYPE: ${{ vars.AGENT_TYPE }}
+          pytest --cov=autogpt --cov-report term-missing --cov-branch --cov-report xml --cov-report term
 
       - name: Upload coverage reports to Codecov
         uses: codecov/codecov-action@v3
-
-      - name: Stage new files and commit
-        run: |
-          git add tests
-          git diff --cached --quiet && echo "No changes to commit" && exit 0
-          git config user.email "github-actions@github.com"
-          git config user.name "GitHub Actions"
-          git commit -m "Add new cassettes"
-          git checkout -b cassette-diff-${{ github.event.pull_request.number }}
-          git remote add target https://${{ secrets.GITHUB_TOKEN }}@github.com/${{ github.event.pull_request.base.repo.full_name }}
-          git push -f target cassette-diff-${{ github.event.pull_request.number }}

.github/workflows/docker-ci.yml

@@ -4,7 +4,7 @@ on:
   push:
     branches: [ master ]
   pull_request:
-    branches: [ master, stable ]
+    branches: [ master ]
 
 concurrency:
   group: ${{ format('docker-ci-{0}', github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha) }}
@@ -101,7 +101,7 @@ jobs:
         set +e
         test_output=$(
           docker run --env CI --env OPENAI_API_KEY --entrypoint python ${{ env.IMAGE_NAME }} -m \
-          pytest -n auto --cov=autogpt --cov-report term-missing --cov-branch --cov-report xml --cov-report term 2>&1
+          pytest --cov=autogpt --cov-report term-missing --cov-branch --cov-report xml --cov-report term 2>&1
         )
         test_failure=$?
 

BULLETIN.md

@@ -1,24 +1,9 @@
-# Website and Documentation Site 📰📖
-Check out *https://agpt.co*, the official news & updates site for Auto-GPT!
-The documentation also has a place here, at *https://docs.agpt.co*
+Welcome to Auto-GPT! We'll keep you informed of the latest news and features by printing messages here.
+If you don't wish to see this message, you can run Auto-GPT with the --skip-news flag
 
-# 🚀 v0.3.0 Release 🚀
-Over a week and 275 pull requests have passed since v0.2.2, and we are happy to announce
-the release of v0.3.0! *From now on, we will be focusing on major improvements* rather
-than bugfixes, as we feel stability has reached a reasonable level. Most remaining
-issues relate to limitations in prompt generation and the memory system, which will be
-the focus of our efforts for the next release.
+# INCLUDED COMMAND 'send_tweet' IS DEPRICATED, AND WILL BE REMOVED IN THE NEXT STABLE RELEASE
+Base Twitter functionality (and more) is now covered by plugins: https://github.com/Significant-Gravitas/Auto-GPT-Plugins
 
-Highlights and notable changes in this release:
+## Changes to Docker configuration
+The workdir has been changed from /home/appuser to /app. Be sure to update any volume mounts accordingly.
 
-## Plugin support 🔌
-Auto-GPT now has support for plugins! With plugins, you can extend Auto-GPT's abilities,
-adding support for third-party services and more.
-See https://github.com/Significant-Gravitas/Auto-GPT-Plugins for instructions and available plugins.
-
-## Changes to Docker configuration 🐋
-The workdir has been changed from */home/appuser* to */app*.
-Be sure to update any volume mounts accordingly!
-
-# ⚠️ Command `send_tweet` is DEPRECATED, and will be removed in v0.4.0 ⚠️
-Twitter functionality (and more) is now covered by plugins, see [Plugin support 🔌]

CONTRIBUTING.md

@@ -1 +1,148 @@
-This document now lives at https://github.com/Significant-Gravitas/Auto-GPT/wiki/Contributing
+# Contributing to Auto-GPT
+
+First of all, thank you for considering contributing to our project! We appreciate your time and effort, and we value any contribution, whether it's reporting a bug, suggesting a new feature, or submitting a pull request.
+
+This document provides guidelines and best practices to help you contribute effectively.
+
+## Code of Conduct
+
+By participating in this project, you agree to abide by our [Code of Conduct]. Please read it to understand the expectations we have for everyone who contributes to this project.
+
+[Code of Conduct]: https://significant-gravitas.github.io/Auto-GPT/code-of-conduct.md
+
+## 📢 A Quick Word
+Right now we will not be accepting any Contributions that add non-essential commands to Auto-GPT.
+
+However, you absolutely can still add these commands to Auto-GPT in the form of plugins.
+Please check out this [template](https://github.com/Significant-Gravitas/Auto-GPT-Plugin-Template).
+
+## Getting Started
+
+1. Fork the repository and clone your fork.
+2. Create a new branch for your changes (use a descriptive name, such as `fix-bug-123` or `add-new-feature`).
+3. Make your changes in the new branch.
+4. Test your changes thoroughly.
+5. Commit and push your changes to your fork.
+6. Create a pull request following the guidelines in the [Submitting Pull Requests](#submitting-pull-requests) section.
+
+## How to Contribute
+
+### Reporting Bugs
+
+If you find a bug in the project, please create an issue on GitHub with the following information:
+
+- A clear, descriptive title for the issue.
+- A description of the problem, including steps to reproduce the issue.
+- Any relevant logs, screenshots, or other supporting information.
+
+### Suggesting Enhancements
+
+If you have an idea for a new feature or improvement, please create an issue on GitHub with the following information:
+
+- A clear, descriptive title for the issue.
+- A detailed description of the proposed enhancement, including any benefits and potential drawbacks.
+- Any relevant examples, mockups, or supporting information.
+
+### Submitting Pull Requests
+
+When submitting a pull request, please ensure that your changes meet the following criteria:
+
+- Your pull request should be atomic and focus on a single change.
+- Your pull request should include tests for your change. We automatically enforce this with [CodeCov](https://docs.codecov.com/docs/commit-status)
+- You should have thoroughly tested your changes with multiple different prompts.
+- You should have considered potential risks and mitigations for your changes.
+- You should have documented your changes clearly and comprehensively.
+- You should not include any unrelated or "extra" small tweaks or changes.
+
+## Style Guidelines
+
+### Code Formatting
+
+We use the `black` and `isort` code formatters to maintain a consistent coding style across the project. Please ensure that your code is formatted properly before submitting a pull request.
+
+To format your code, run the following commands in the project's root directory:
+
+```bash
+python -m black .
+python -m isort .
+```
+
+Or if you have these tools installed globally:
+```bash
+black .
+isort .
+```
+
+### Pre-Commit Hooks
+
+We use pre-commit hooks to ensure that code formatting and other checks are performed automatically before each commit. To set up pre-commit hooks for this project, follow these steps:
+
+Install the pre-commit package using pip:
+```bash
+pip install pre-commit
+```
+
+Run the following command in the project's root directory to install the pre-commit hooks:
+```bash
+pre-commit install
+```
+
+Now, the pre-commit hooks will run automatically before each commit, checking your code formatting and other requirements.
+
+If you encounter any issues or have questions, feel free to reach out to the maintainers or open a new issue on GitHub. We're here to help and appreciate your efforts to contribute to the project.
+
+Happy coding, and once again, thank you for your contributions!
+
+Maintainers will look at PR that have no merge conflicts when deciding what to add to the project. Make sure your PR shows up here:
+https://github.com/Significant-Gravitas/Auto-GPT/pulls?q=is%3Apr+is%3Aopen+-label%3Aconflicts
+
+## Testing your changes
+
+If you add or change code, make sure the updated code is covered by tests.
+To increase coverage if necessary, [write tests using pytest].
+
+For more info on running tests, please refer to ["Running tests"](https://significant-gravitas.github.io/Auto-GPT/testing/).
+
+[write tests using pytest]: https://realpython.com/pytest-python-testing/
+
+### API-dependent tests
+
+To run tests that involve making calls to the OpenAI API, we use VCRpy. It caches known
+requests and matching responses in so-called *cassettes*, allowing us to run the tests
+in CI without needing actual API access.
+
+When changes cause a test prompt to be generated differently, it will likely miss the
+cache and make a request to the API, updating the cassette with the new request+response.
+*Be sure to include the updated cassette in your PR!*
+
+When you run Pytest locally:
+
+- If no prompt change: you will not consume API tokens because there are no new OpenAI calls required.
+- If the prompt changes in a way that the cassettes are not reusable:
+    - If no API key, the test fails. It requires a new cassette. So, add an API key to .env.
+    - If the API key is present, the tests will make a real call to OpenAI.
+        - If the test ends up being successful, your prompt changes didn't introduce regressions. This is good. Commit your cassettes to your PR.
+        - If the test is unsuccessful:
+            - Either: Your change made Auto-GPT less capable, in that case, you have to change your code.
+            - Or: The test might be poorly written. In that case, you can make suggestions to change the test.
+
+In our CI pipeline, Pytest will use the cassettes and not call paid API providers, so we need your help to record the replays that you break.
+
+
+### Community Challenges
+Challenges are goals we need Auto-GPT to achieve. 
+To pick the challenge you like, go to the tests/integration/challenges folder and select the areas you would like to work on. 
+- a challenge is new if level_currently_beaten is None
+- a challenge is in progress if level_currently_beaten is greater or equal to 1
+- a challenge is beaten if level_currently_beaten = max_level
+
+Here is an example of how to run the memory challenge A and attempt to beat level 3.
+
+pytest -s tests/integration/challenges/memory/test_memory_challenge_a.py --level=3
+
+To beat a challenge, you're not allowed to change anything in the tests folder, you have to add code in the autogpt folder
+
+Challenges use cassettes. Cassettes allow us to replay your runs in our CI pipeline.
+Don't hesitate to delete the cassettes associated to the challenge you're working on if you need to. Otherwise it will keep replaying the last run.
+
+Once you've beaten a new level of a challenge, please create a pull request and we will analyze how you changed Auto-GPT to beat the challenge.

Dockerfile

@@ -22,7 +22,7 @@ ENV PATH="$PATH:/root/.local/bin"
 COPY requirements.txt .
 
 # Set the entrypoint
-ENTRYPOINT ["python", "-m", "autogpt", "--install-plugin-deps"]
+ENTRYPOINT ["python", "-m", "autogpt"]
 
 # dev build -> include everything
 FROM autogpt-base as autogpt-dev
@@ -36,7 +36,5 @@ RUN sed -i '/Items below this point will not be included in the Docker Image/,$d
 	pip install --no-cache-dir -r requirements.txt
 WORKDIR /app
 ONBUILD COPY autogpt/ ./autogpt
-ONBUILD COPY scripts/ ./scripts
-ONBUILD COPY plugins/ ./plugins
 
 FROM autogpt-${BUILD_TYPE} AS auto-gpt

README.md

@@ -1,5 +1,4 @@
 # Auto-GPT: An Autonomous GPT-4 Experiment
-[![Official Website](https://img.shields.io/badge/Official%20Website-agpt.co-blue?style=flat&logo=world&logoColor=white)](https://agpt.co)
 [![Unit Tests](https://img.shields.io/github/actions/workflow/status/Significant-Gravitas/Auto-GPT/ci.yml?label=unit%20tests)](https://github.com/Significant-Gravitas/Auto-GPT/actions/workflows/ci.yml)
 [![Discord Follow](https://dcbadge.vercel.app/api/server/autogpt?style=flat)](https://discord.gg/autogpt)
 [![GitHub Repo stars](https://img.shields.io/github/stars/Significant-Gravitas/auto-gpt?style=social)](https://github.com/Significant-Gravitas/Auto-GPT/stargazers)
@@ -92,7 +91,6 @@ Your support is greatly appreciated. Development of this free, open-source proje
 
 ## Quickstart
 
-0. Check out the [wiki](https://github.com/Significant-Gravitas/Auto-GPT/wiki)
 1. Get an OpenAI [API Key](https://platform.openai.com/account/api-keys)
 2. Download the [latest release](https://github.com/Significant-Gravitas/Auto-GPT/releases/latest)
 3. Follow the [installation instructions][docs/setup]
@@ -101,21 +99,21 @@ Your support is greatly appreciated. Development of this free, open-source proje
 
 Please see the [documentation][docs] for full setup instructions and configuration options.
 
-[docs]: https://docs.agpt.co/
+[docs]: https://significant-gravitas.github.io/Auto-GPT/
 
 ## 📖 Documentation
 * [⚙️ Setup][docs/setup]
 * [💻 Usage][docs/usage]
 * [🔌 Plugins][docs/plugins]
 * Configuration
-  * [🔍 Web Search](https://docs.agpt.co/configuration/search/)
-  * [🧠 Memory](https://docs.agpt.co/configuration/memory/)
-  * [🗣️ Voice (TTS)](https://docs.agpt.co/configuration/voice/)
-  * [🖼️ Image Generation](https://docs.agpt.co/configuration/imagegen/)
+  * [🔍 Web Search](https://significant-gravitas.github.io/Auto-GPT/configuration/search/)
+  * [🧠 Memory](https://significant-gravitas.github.io/Auto-GPT/configuration/memory/)
+  * [🗣️ Voice (TTS)](https://significant-gravitas.github.io/Auto-GPT/configuration/voice/)
+  * [🖼️ Image Generation](https://significant-gravitas.github.io/Auto-GPT/configuration/imagegen/)
 
-[docs/setup]: https://docs.agpt.co/setup/
-[docs/usage]: https://docs.agpt.co/usage/
-[docs/plugins]: https://docs.agpt.co/plugins/
+[docs/setup]: https://significant-gravitas.github.io/Auto-GPT/setup/
+[docs/usage]: https://significant-gravitas.github.io/Auto-GPT/usage/
+[docs/plugins]: https://significant-gravitas.github.io/Auto-GPT/plugins/
 
 ## ⚠️ Limitations
 

autogpt/agent/agent.py

@@ -1,5 +1,3 @@
-from datetime import datetime
-
 from colorama import Fore, Style
 
 from autogpt.app import execute_command, get_command
@@ -7,13 +5,6 @@ from autogpt.config import Config
 from autogpt.json_utils.json_fix_llm import fix_json_using_multiple_techniques
 from autogpt.json_utils.utilities import LLM_DEFAULT_RESPONSE_FORMAT, validate_json
 from autogpt.llm import chat_with_ai, create_chat_completion, create_chat_message
-from autogpt.llm.token_counter import count_string_tokens
-from autogpt.log_cycle.log_cycle import (
-    FULL_MESSAGE_HISTORY_FILE_NAME,
-    NEXT_ACTION_FILE_NAME,
-    USER_INPUT_FILE_NAME,
-    LogCycleHandler,
-)
 from autogpt.logs import logger, print_assistant_thoughts
 from autogpt.speech import say_text
 from autogpt.spinner import Spinner
@@ -66,7 +57,7 @@ class Agent:
         self.ai_name = ai_name
         self.memory = memory
         self.summary_memory = (
-            "I was created."  # Initial memory necessary to avoid hallucination
+            "I was created."  # Initial memory necessary to avoid hilucination
         )
         self.last_memory_index = 0
         self.full_message_history = full_message_history
@@ -76,33 +67,22 @@ class Agent:
         self.system_prompt = system_prompt
         self.triggering_prompt = triggering_prompt
         self.workspace = Workspace(workspace_directory, cfg.restrict_to_workspace)
-        self.created_at = datetime.now().strftime("%Y%m%d_%H%M%S")
-        self.cycle_count = 0
-        self.log_cycle_handler = LogCycleHandler()
 
     def start_interaction_loop(self):
         # Interaction Loop
         cfg = Config()
-        self.cycle_count = 0
+        loop_count = 0
         command_name = None
         arguments = None
         user_input = ""
 
         while True:
             # Discontinue if continuous limit is reached
-            self.cycle_count += 1
-            self.log_cycle_handler.log_count_within_cycle = 0
-            self.log_cycle_handler.log_cycle(
-                self.config.ai_name,
-                self.created_at,
-                self.cycle_count,
-                self.full_message_history,
-                FULL_MESSAGE_HISTORY_FILE_NAME,
-            )
+            loop_count += 1
             if (
                 cfg.continuous_mode
                 and cfg.continuous_limit > 0
-                and self.cycle_count > cfg.continuous_limit
+                and loop_count > cfg.continuous_limit
             ):
                 logger.typewriter_log(
                     "Continuous Limit Reached: ", Fore.YELLOW, f"{cfg.continuous_limit}"
@@ -123,7 +103,7 @@ class Agent:
             for plugin in cfg.plugins:
                 if not plugin.can_handle_post_planning():
                     continue
-                assistant_reply_json = plugin.post_planning(assistant_reply_json)
+                assistant_reply_json = plugin.post_planning(self, assistant_reply_json)
 
             # Print Assistant thoughts
             if assistant_reply_json != {}:
@@ -141,28 +121,21 @@ class Agent:
 
                 except Exception as e:
                     logger.error("Error: \n", str(e))
-            self.log_cycle_handler.log_cycle(
-                self.config.ai_name,
-                self.created_at,
-                self.cycle_count,
-                assistant_reply_json,
-                NEXT_ACTION_FILE_NAME,
-            )
-
-            logger.typewriter_log(
-                "NEXT ACTION: ",
-                Fore.CYAN,
-                f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL}  "
-                f"ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}",
-            )
 
             if not cfg.continuous_mode and self.next_action_count == 0:
                 # ### GET USER AUTHORIZATION TO EXECUTE COMMAND ###
                 # Get key press: Prompt the user to press enter to continue or escape
                 # to exit
                 self.user_input = ""
+                logger.typewriter_log(
+                    "NEXT ACTION: ",
+                    Fore.CYAN,
+                    f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL}  "
+                    f"ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}",
+                )
+
                 logger.info(
-                    "Enter 'y' to authorise command, 'y -N' to run N continuous commands, 's' to run self-feedback commands, "
+                    "Enter 'y' to authorise command, 'y -N' to run N continuous commands, 's' to run self-feedback commands"
                     "'n' to exit program, or enter feedback for "
                     f"{self.ai_name}..."
                 )
@@ -191,8 +164,10 @@ class Agent:
                             Fore.YELLOW,
                             "",
                         )
-                        user_input = self_feedback_resp
-                        command_name = "self_feedback"
+                        if self_feedback_resp[0].lower().strip() == cfg.authorise_key:
+                            user_input = "GENERATE NEXT COMMAND JSON"
+                        else:
+                            user_input = self_feedback_resp
                         break
                     elif console_input.lower().strip() == "":
                         logger.warn("Invalid input format.")
@@ -216,13 +191,6 @@ class Agent:
                     else:
                         user_input = console_input
                         command_name = "human_feedback"
-                        self.log_cycle_handler.log_cycle(
-                            self.config.ai_name,
-                            self.created_at,
-                            self.cycle_count,
-                            user_input,
-                            USER_INPUT_FILE_NAME,
-                        )
                         break
 
                 if user_input == "GENERATE NEXT COMMAND JSON":
@@ -235,9 +203,12 @@ class Agent:
                     logger.info("Exiting...")
                     break
             else:
-                # Print authorized commands left value
+                # Print command
                 logger.typewriter_log(
-                    f"{Fore.CYAN}AUTHORISED COMMANDS LEFT: {Style.RESET_ALL}{self.next_action_count}"
+                    "NEXT ACTION: ",
+                    Fore.CYAN,
+                    f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL}"
+                    f"  ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}",
                 )
 
             # Execute command
@@ -247,8 +218,6 @@ class Agent:
                 )
             elif command_name == "human_feedback":
                 result = f"Human feedback: {user_input}"
-            elif command_name == "self_feedback":
-                result = f"Self feedback: {user_input}"
             else:
                 for plugin in cfg.plugins:
                     if not plugin.can_handle_pre_command():
@@ -264,16 +233,6 @@ class Agent:
                 )
                 result = f"Command {command_name} returned: " f"{command_result}"
 
-                result_tlength = count_string_tokens(
-                    str(command_result), cfg.fast_llm_model
-                )
-                memory_tlength = count_string_tokens(
-                    str(self.summary_memory), cfg.fast_llm_model
-                )
-                if result_tlength + memory_tlength + 600 > cfg.fast_token_limit:
-                    result = f"Failure: command {command_name} returned too much output. \
-                        Do not execute this command again with the same arguments."
-
                 for plugin in cfg.plugins:
                     if not plugin.can_handle_post_command():
                         continue
@@ -319,11 +278,12 @@ class Agent:
         """
         ai_role = self.config.ai_role
 
-        feedback_prompt = f"Below is a message from me, an AI Agent, assuming the role of {ai_role}. whilst keeping knowledge of my slight limitations as an AI Agent Please evaluate my thought process, reasoning, and plan, and provide a concise paragraph outlining potential improvements. Consider adding or removing ideas that do not align with my role and explaining why, prioritizing thoughts based on their significance, or simply refining my overall thought process."
+        feedback_prompt = f"Below is a message from an AI agent with the role of {ai_role}. Please review the provided Thought, Reasoning, Plan, and Criticism. If these elements accurately contribute to the successful execution of the assumed role, respond with the letter 'Y' followed by a space, and then explain why it is effective. If the provided information is not suitable for achieving the role's objectives, please provide one or more sentences addressing the issue and suggesting a resolution."
         reasoning = thoughts.get("reasoning", "")
         plan = thoughts.get("plan", "")
         thought = thoughts.get("thoughts", "")
-        feedback_thoughts = thought + reasoning + plan
+        criticism = thoughts.get("criticism", "")
+        feedback_thoughts = thought + reasoning + plan + criticism
         return create_chat_completion(
             [{"role": "user", "content": feedback_prompt + feedback_thoughts}],
             llm_model,

autogpt/app.py

@@ -120,6 +120,8 @@ def execute_command(
         # TODO: Change these to take in a file rather than pasted code, if
         # non-file is given, return instructions "Input should be a python
         # filepath, write your code to file and try again
+        elif command_name == "task_complete":
+            shutdown()
         else:
             for command in prompt.commands:
                 if (
@@ -169,6 +171,12 @@ def get_hyperlinks(url: str) -> Union[str, List[str]]:
     return scrape_links(url)
 
 
+def shutdown() -> NoReturn:
+    """Shut down the program"""
+    logger.info("Shutting down...")
+    quit()
+
+
 @command(
     "start_agent",
     "Start GPT Agent",

autogpt/commands/file_operations.py

@@ -1,12 +1,10 @@
 """File operations for AutoGPT"""
 from __future__ import annotations
 
-import hashlib
 import os
 import os.path
-from typing import Dict, Generator, Literal, Tuple
+from typing import Generator
 
-import charset_normalizer
 import requests
 from colorama import Back, Fore
 from requests.adapters import HTTPAdapter, Retry
@@ -19,96 +17,31 @@ from autogpt.utils import readable_file_size
 
 CFG = Config()
 
-Operation = Literal["write", "append", "delete"]
 
-
-def text_checksum(text: str) -> str:
-    """Get the hex checksum for the given text."""
-    return hashlib.md5(text.encode("utf-8")).hexdigest()
-
-
-def operations_from_log(log_path: str) -> Generator[Tuple[Operation, str, str | None]]:
-    """Parse the file operations log and return a tuple containing the log entries"""
-    try:
-        log = open(log_path, "r", encoding="utf-8")
-    except FileNotFoundError:
-        return
-
-    for line in log:
-        line = line.replace("File Operation Logger", "").strip()
-        if not line:
-            continue
-        operation, tail = line.split(": ", maxsplit=1)
-        operation = operation.strip()
-        if operation in ("write", "append"):
-            try:
-                path, checksum = (x.strip() for x in tail.rsplit(" #", maxsplit=1))
-            except ValueError:
-                path, checksum = tail.strip(), None
-            yield (operation, path, checksum)
-        elif operation == "delete":
-            yield (operation, tail.strip(), None)
-
-    log.close()
-
-
-def file_operations_state(log_path: str) -> Dict:
-    """Iterates over the operations log and returns the expected state.
-
-    Parses a log file at CFG.file_logger_path to construct a dictionary that maps
-    each file path written or appended to its checksum. Deleted files are removed
-    from the dictionary.
-
-    Returns:
-        A dictionary mapping file paths to their checksums.
-
-    Raises:
-        FileNotFoundError: If CFG.file_logger_path is not found.
-        ValueError: If the log file content is not in the expected format.
-    """
-    state = {}
-    for operation, path, checksum in operations_from_log(log_path):
-        if operation in ("write", "append"):
-            state[path] = checksum
-        elif operation == "delete":
-            del state[path]
-    return state
-
-
-def is_duplicate_operation(
-    operation: Operation, filename: str, checksum: str | None = None
-) -> bool:
-    """Check if the operation has already been performed
+def check_duplicate_operation(operation: str, filename: str) -> bool:
+    """Check if the operation has already been performed on the given file
 
     Args:
-        operation: The operation to check for
-        filename: The name of the file to check for
-        checksum: The checksum of the contents to be written
+        operation (str): The operation to check for
+        filename (str): The name of the file to check for
 
     Returns:
-        True if the operation has already been performed on the file
+        bool: True if the operation has already been performed on the file
     """
-    state = file_operations_state(CFG.file_logger_path)
-    if operation == "delete" and filename not in state:
-        return True
-    if operation == "write" and state.get(filename) == checksum:
-        return True
-    return False
+    log_content = read_file(CFG.file_logger_path)
+    log_entry = f"{operation}: {filename}\n"
+    return log_entry in log_content
 
 
-def log_operation(operation: str, filename: str, checksum: str | None = None) -> None:
+def log_operation(operation: str, filename: str) -> None:
     """Log the file operation to the file_logger.txt
 
     Args:
-        operation: The operation to log
-        filename: The name of the file the operation was performed on
-        checksum: The checksum of the contents to be written
+        operation (str): The operation to log
+        filename (str): The name of the file the operation was performed on
     """
-    log_entry = f"{operation}: {filename}"
-    if checksum is not None:
-        log_entry += f" #{checksum}"
-    logger.debug(f"Logging file operation: {log_entry}")
-    append_to_file(CFG.file_logger_path, f"{log_entry}\n", should_log=False)
+    log_entry = f"{operation}: {filename}\n"
+    append_to_file(CFG.file_logger_path, log_entry, should_log=False)
 
 
 def split_file(
@@ -154,12 +87,11 @@ def read_file(filename: str) -> str:
         str: The contents of the file
     """
     try:
-        charset_match = charset_normalizer.from_path(filename).best()
-        encoding = charset_match.encoding
-        logger.debug(f"Read file '{filename}' with encoding '{encoding}'")
-        return str(charset_match)
-    except Exception as err:
-        return f"Error: {err}"
+        with open(filename, "r", encoding="utf-8") as f:
+            content = f.read()
+        return content
+    except Exception as e:
+        return f"Error: {str(e)}"
 
 
 def ingest_file(
@@ -192,8 +124,8 @@ def ingest_file(
             memory.add(memory_to_add)
 
         logger.info(f"Done ingesting {num_chunks} chunks from {filename}.")
-    except Exception as err:
-        logger.info(f"Error while ingesting file '{filename}': {err}")
+    except Exception as e:
+        logger.info(f"Error while ingesting file '{filename}': {str(e)}")
 
 
 @command("write_to_file", "Write to file", '"filename": "<filename>", "text": "<text>"')
@@ -207,18 +139,17 @@ def write_to_file(filename: str, text: str) -> str:
     Returns:
         str: A message indicating success or failure
     """
-    checksum = text_checksum(text)
-    if is_duplicate_operation("write", filename, checksum):
+    if check_duplicate_operation("write", filename):
         return "Error: File has already been updated."
     try:
         directory = os.path.dirname(filename)
         os.makedirs(directory, exist_ok=True)
         with open(filename, "w", encoding="utf-8") as f:
             f.write(text)
-        log_operation("write", filename, checksum)
+        log_operation("write", filename)
         return "File written to successfully."
-    except Exception as err:
-        return f"Error: {err}"
+    except Exception as e:
+        return f"Error: {str(e)}"
 
 
 @command(
@@ -238,17 +169,15 @@ def append_to_file(filename: str, text: str, should_log: bool = True) -> str:
     try:
         directory = os.path.dirname(filename)
         os.makedirs(directory, exist_ok=True)
-        with open(filename, "a", encoding="utf-8") as f:
+        with open(filename, "a") as f:
             f.write(text)
 
         if should_log:
-            with open(filename, "r", encoding="utf-8") as f:
-                checksum = text_checksum(f.read())
-            log_operation("append", filename, checksum=checksum)
+            log_operation("append", filename)
 
         return "Text appended successfully."
-    except Exception as err:
-        return f"Error: {err}"
+    except Exception as e:
+        return f"Error: {str(e)}"
 
 
 @command("delete_file", "Delete file", '"filename": "<filename>"')
@@ -261,19 +190,19 @@ def delete_file(filename: str) -> str:
     Returns:
         str: A message indicating success or failure
     """
-    if is_duplicate_operation("delete", filename):
+    if check_duplicate_operation("delete", filename):
         return "Error: File has already been deleted."
     try:
         os.remove(filename)
         log_operation("delete", filename)
         return "File deleted successfully."
-    except Exception as err:
-        return f"Error: {err}"
+    except Exception as e:
+        return f"Error: {str(e)}"
 
 
-@command("list_files", "List Files in Directory", '"directory": "<directory>"')
-def list_files(directory: str) -> list[str]:
-    """lists files in a directory recursively
+@command("search_files", "Search Files", '"directory": "<directory>"')
+def search_files(directory: str) -> list[str]:
+    """Search for files in a directory
 
     Args:
         directory (str): The directory to search in
@@ -337,7 +266,7 @@ def download_file(url, filename):
                         spinner.update_message(f"{message} {progress}")
 
             return f'Successfully downloaded and locally stored file: "{filename}"! (Size: {readable_file_size(downloaded_size)})'
-    except requests.HTTPError as err:
-        return f"Got an HTTP Error whilst trying to download file: {err}"
-    except Exception as err:
-        return f"Error: {err}"
+    except requests.HTTPError as e:
+        return f"Got an HTTP Error whilst trying to download file: {e}"
+    except Exception as e:
+        return "Error: " + str(e)

autogpt/commands/task_statuses.py

@@ -1,26 +0,0 @@
-"""Task Statuses module."""
-from __future__ import annotations
-
-from typing import NoReturn
-
-from autogpt.commands.command import command
-from autogpt.logs import logger
-
-
-@command(
-    "task_complete",
-    "Task Complete (Shutdown)",
-    '"reason": "<reason>"',
-)
-def task_complete(reason: str) -> NoReturn:
-    """
-    A function that takes in a string and exits the program
-
-    Parameters:
-        reason (str): The reason for shutting down.
-    Returns:
-        A result string from create chat completion. A list of suggestions to
-            improve the code.
-    """
-    logger.info(title="Shutting down...\n", message=reason)
-    quit()

autogpt/commands/web_selenium.py

@@ -10,7 +10,6 @@ from selenium import webdriver
 from selenium.common.exceptions import WebDriverException
 from selenium.webdriver.chrome.options import Options as ChromeOptions
 from selenium.webdriver.common.by import By
-from selenium.webdriver.edge.options import Options as EdgeOptions
 from selenium.webdriver.firefox.options import Options as FirefoxOptions
 from selenium.webdriver.remote.webdriver import WebDriver
 from selenium.webdriver.safari.options import Options as SafariOptions
@@ -18,7 +17,6 @@ from selenium.webdriver.support import expected_conditions as EC
 from selenium.webdriver.support.wait import WebDriverWait
 from webdriver_manager.chrome import ChromeDriverManager
 from webdriver_manager.firefox import GeckoDriverManager
-from webdriver_manager.microsoft import EdgeChromiumDriverManager
 
 import autogpt.processing.text as summary
 from autogpt.commands.command import command
@@ -36,7 +34,7 @@ CFG = Config()
     '"url": "<url>", "question": "<what_you_want_to_find_on_website>"',
 )
 @validate_url
-def browse_website(url: str, question: str) -> str:
+def browse_website(url: str, question: str) -> tuple[str, WebDriver]:
     """Browse a website and return the answer and links to the user
 
     Args:
@@ -52,7 +50,7 @@ def browse_website(url: str, question: str) -> str:
         # These errors are often quite long and include lots of context.
         # Just grab the first line.
         msg = e.msg.split("\n")[0]
-        return f"Error: {msg}"
+        return f"Error: {msg}", None
 
     add_header(driver)
     summary_text = summary.summarize_text(url, text, question, driver)
@@ -62,7 +60,7 @@ def browse_website(url: str, question: str) -> str:
     if len(links) > 5:
         links = links[:5]
     close_browser(driver)
-    return f"Answer gathered from website: {summary_text} \n \n Links: {links}"
+    return f"Answer gathered from website: {summary_text} \n \n Links: {links}", driver
 
 
 def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]:
@@ -80,7 +78,6 @@ def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]:
         "chrome": ChromeOptions,
         "safari": SafariOptions,
         "firefox": FirefoxOptions,
-        "edge": EdgeOptions,
     }
 
     options = options_available[CFG.selenium_web_browser]()
@@ -99,10 +96,6 @@ def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]:
         # Requires a bit more setup on the users end
         # See https://developer.apple.com/documentation/webkit/testing_with_webdriver_in_safari
         driver = webdriver.Safari(options=options)
-    elif CFG.selenium_web_browser == "edge":
-        driver = webdriver.Edge(
-            executable_path=EdgeChromiumDriverManager().install(), options=options
-        )
     else:
         if platform == "linux" or platform == "linux2":
             options.add_argument("--disable-dev-shm-usage")
@@ -182,9 +175,4 @@ def add_header(driver: WebDriver) -> None:
     Returns:
         None
     """
-    try:
-        with open(f"{FILE_DIR}/js/overlay.js", "r") as overlay_file:
-            overlay_script = overlay_file.read()
-        driver.execute_script(overlay_script)
-    except Exception as e:
-        print(f"Error executing overlay.js: {e}")
+    driver.execute_script(open(f"{FILE_DIR}/js/overlay.js", "r").read())

autogpt/config/config.py

@@ -30,21 +30,11 @@ class Config(metaclass=Singleton):
 
         self.authorise_key = os.getenv("AUTHORISE_COMMAND_KEY", "y")
         self.exit_key = os.getenv("EXIT_KEY", "n")
-
-        disabled_command_categories = os.getenv("DISABLED_COMMAND_CATEGORIES")
-        if disabled_command_categories:
-            self.disabled_command_categories = disabled_command_categories.split(",")
-        else:
-            self.disabled_command_categories = []
-
         self.ai_settings_file = os.getenv("AI_SETTINGS_FILE", "ai_settings.yaml")
         self.fast_llm_model = os.getenv("FAST_LLM_MODEL", "gpt-3.5-turbo")
         self.smart_llm_model = os.getenv("SMART_LLM_MODEL", "gpt-4")
         self.fast_token_limit = int(os.getenv("FAST_TOKEN_LIMIT", 4000))
         self.smart_token_limit = int(os.getenv("SMART_TOKEN_LIMIT", 8000))
-        self.embedding_model = os.getenv("EMBEDDING_MODEL", "text-embedding-ada-002")
-        self.embedding_tokenizer = os.getenv("EMBEDDING_TOKENIZER", "cl100k_base")
-        self.embedding_token_limit = int(os.getenv("EMBEDDING_TOKEN_LIMIT", 8191))
         self.browse_chunk_max_length = int(os.getenv("BROWSE_CHUNK_MAX_LENGTH", 3000))
         self.browse_spacy_language_model = os.getenv(
             "BROWSE_SPACY_LANGUAGE_MODEL", "en_core_web_sm"
@@ -149,12 +139,7 @@ class Config(metaclass=Singleton):
             self.plugins_allowlist = plugins_allowlist.split(",")
         else:
             self.plugins_allowlist = []
-
-        plugins_denylist = os.getenv("DENYLISTED_PLUGINS")
-        if plugins_denylist:
-            self.plugins_denylist = plugins_denylist.split(",")
-        else:
-            self.plugins_denylist = []
+        self.plugins_denylist = []
 
     def get_azure_deployment_id_for_model(self, model: str) -> str:
         """
@@ -231,18 +216,6 @@ class Config(metaclass=Singleton):
         """Set the smart token limit value."""
         self.smart_token_limit = value
 
-    def set_embedding_model(self, value: str) -> None:
-        """Set the model to use for creating embeddings."""
-        self.embedding_model = value
-
-    def set_embedding_tokenizer(self, value: str) -> None:
-        """Set the tokenizer to use when creating embeddings."""
-        self.embedding_tokenizer = value
-
-    def set_embedding_token_limit(self, value: int) -> None:
-        """Set the token limit for creating embeddings."""
-        self.embedding_token_limit = value
-
     def set_browse_chunk_max_length(self, value: int) -> None:
         """Set the browse_website command chunk max length value."""
         self.browse_chunk_max_length = value

autogpt/json_utils/utilities.py

@@ -1,6 +1,5 @@
 """Utilities for the json_fixes package."""
 import json
-import os.path
 import re
 
 from jsonschema import Draft7Validator
@@ -36,8 +35,7 @@ def validate_json(json_object: object, schema_name: str) -> dict | None:
     :param schema_name: str
     :type json_object: object
     """
-    scheme_file = os.path.join(os.path.dirname(__file__), f"{schema_name}.json")
-    with open(scheme_file, "r") as f:
+    with open(f"autogpt/json_utils/{schema_name}.json", "r") as f:
         schema = json.load(f)
     validator = Draft7Validator(schema)
 

autogpt/llm/__init__.py

@@ -11,7 +11,6 @@ from autogpt.llm.base import (
 from autogpt.llm.chat import chat_with_ai, create_chat_message, generate_context
 from autogpt.llm.llm_utils import (
     call_ai_function,
-    chunked_tokens,
     create_chat_completion,
     get_ada_embedding,
 )
@@ -33,7 +32,6 @@ __all__ = [
     "call_ai_function",
     "create_chat_completion",
     "get_ada_embedding",
-    "chunked_tokens",
     "COSTS",
     "count_message_tokens",
     "count_string_tokens",

autogpt/llm/api_manager.py

@@ -59,11 +59,10 @@ class ApiManager(metaclass=Singleton):
                 max_tokens=max_tokens,
                 api_key=cfg.openai_api_key,
             )
-        if not hasattr(response, "error"):
-            logger.debug(f"Response: {response}")
-            prompt_tokens = response.usage.prompt_tokens
-            completion_tokens = response.usage.completion_tokens
-            self.update_cost(prompt_tokens, completion_tokens, model)
+        logger.debug(f"Response: {response}")
+        prompt_tokens = response.usage.prompt_tokens
+        completion_tokens = response.usage.completion_tokens
+        self.update_cost(prompt_tokens, completion_tokens, model)
         return response
 
     def update_cost(self, prompt_tokens, completion_tokens, model):

autogpt/llm/chat.py

@@ -8,8 +8,14 @@ from autogpt.llm.api_manager import ApiManager
 from autogpt.llm.base import Message
 from autogpt.llm.llm_utils import create_chat_completion
 from autogpt.llm.token_counter import count_message_tokens
-from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME
 from autogpt.logs import logger
+from autogpt.memory_management.store_memory import (
+    save_memory_trimmed_from_context_window,
+)
+from autogpt.memory_management.summary_memory import (
+    get_newly_trimmed_messages,
+    update_running_summary,
+)
 
 cfg = Config()
 
@@ -146,10 +152,6 @@ def chat_with_ai(
 
                 # Move to the next most recent message in the full message history
                 next_message_to_add_index -= 1
-            from autogpt.memory_management.summary_memory import (
-                get_newly_trimmed_messages,
-                update_running_summary,
-            )
 
             # Insert Memories
             if len(full_message_history) > 0:
@@ -161,9 +163,7 @@ def chat_with_ai(
                     current_context=current_context,
                     last_memory_index=agent.last_memory_index,
                 )
-
                 agent.summary_memory = update_running_summary(
-                    agent,
                     current_memory=agent.summary_memory,
                     new_events=newly_trimmed_messages,
                 )
@@ -200,7 +200,7 @@ def chat_with_ai(
                 if not plugin.can_handle_on_planning():
                     continue
                 plugin_response = plugin.on_planning(
-                    agent.config.prompt_generator, current_context
+                    agent.prompt_generator, current_context
                 )
                 if not plugin_response or plugin_response == "":
                     continue
@@ -231,13 +231,6 @@ def chat_with_ai(
                 logger.debug(f"{message['role'].capitalize()}: {message['content']}")
                 logger.debug("")
             logger.debug("----------- END OF CONTEXT ----------------")
-            agent.log_cycle_handler.log_cycle(
-                agent.config.ai_name,
-                agent.created_at,
-                agent.cycle_count,
-                current_context,
-                CURRENT_CONTEXT_FILE_NAME,
-            )
 
             # TODO: use a model defined elsewhere, so that model can contain
             # temperature and other settings we care about

autogpt/llm/llm_utils.py

@@ -2,12 +2,9 @@ from __future__ import annotations
 
 import functools
 import time
-from itertools import islice
 from typing import List, Optional
 
-import numpy as np
 import openai
-import tiktoken
 from colorama import Fore, Style
 from openai.error import APIError, RateLimitError, Timeout
 
@@ -33,7 +30,7 @@ def retry_openai_api(
     api_key_error_msg = (
         f"Please double check that you have setup a "
         f"{Fore.CYAN + Style.BRIGHT}PAID{Style.RESET_ALL} OpenAI API Account. You can "
-        f"read more here: {Fore.CYAN}https://docs.agpt.co/setup/#getting-an-api-key{Fore.RESET}"
+        f"read more here: {Fore.CYAN}https://significant-gravitas.github.io/Auto-GPT/setup/#getting-an-api-key{Fore.RESET}"
     )
     backoff_msg = (
         f"{Fore.RED}Error: API Bad gateway. Waiting {{backoff}} seconds...{Fore.RESET}"
@@ -177,7 +174,7 @@ def create_chat_completion(
             if not warned_user:
                 logger.double_check(
                     f"Please double check that you have setup a {Fore.CYAN + Style.BRIGHT}PAID{Style.RESET_ALL} OpenAI API Account. "
-                    + f"You can read more here: {Fore.CYAN}https://docs.agpt.co/setup/#getting-an-api-key{Fore.RESET}"
+                    + f"You can read more here: {Fore.CYAN}https://significant-gravitas.github.io/Auto-GPT/setup/#getting-an-api-key{Fore.RESET}"
                 )
                 warned_user = True
         except (APIError, Timeout) as e:
@@ -210,23 +207,6 @@ def create_chat_completion(
     return resp
 
 
-def batched(iterable, n):
-    """Batch data into tuples of length n. The last batch may be shorter."""
-    # batched('ABCDEFG', 3) --> ABC DEF G
-    if n < 1:
-        raise ValueError("n must be at least one")
-    it = iter(iterable)
-    while batch := tuple(islice(it, n)):
-        yield batch
-
-
-def chunked_tokens(text, tokenizer_name, chunk_length):
-    tokenizer = tiktoken.get_encoding(tokenizer_name)
-    tokens = tokenizer.encode(text)
-    chunks_iterator = batched(tokens, chunk_length)
-    yield from chunks_iterator
-
-
 def get_ada_embedding(text: str) -> List[float]:
     """Get an embedding from the ada model.
 
@@ -237,7 +217,7 @@ def get_ada_embedding(text: str) -> List[float]:
         List[float]: The embedding.
     """
     cfg = Config()
-    model = cfg.embedding_model
+    model = "text-embedding-ada-002"
     text = text.replace("\n", " ")
 
     if cfg.use_azure:
@@ -246,7 +226,13 @@ def get_ada_embedding(text: str) -> List[float]:
         kwargs = {"model": model}
 
     embedding = create_embedding(text, **kwargs)
-    return embedding
+    api_manager = ApiManager()
+    api_manager.update_cost(
+        prompt_tokens=embedding.usage.prompt_tokens,
+        completion_tokens=0,
+        model=model,
+    )
+    return embedding["data"][0]["embedding"]
 
 
 @retry_openai_api()
@@ -265,31 +251,8 @@ def create_embedding(
         openai.Embedding: The embedding object.
     """
     cfg = Config()
-    chunk_embeddings = []
-    chunk_lengths = []
-    for chunk in chunked_tokens(
-        text,
-        tokenizer_name=cfg.embedding_tokenizer,
-        chunk_length=cfg.embedding_token_limit,
-    ):
-        embedding = openai.Embedding.create(
-            input=[chunk],
-            api_key=cfg.openai_api_key,
-            **kwargs,
-        )
-        api_manager = ApiManager()
-        api_manager.update_cost(
-            prompt_tokens=embedding.usage.prompt_tokens,
-            completion_tokens=0,
-            model=cfg.embedding_model,
-        )
-        chunk_embeddings.append(embedding["data"][0]["embedding"])
-        chunk_lengths.append(len(chunk))
-
-    # do weighted avg
-    chunk_embeddings = np.average(chunk_embeddings, axis=0, weights=chunk_lengths)
-    chunk_embeddings = chunk_embeddings / np.linalg.norm(
-        chunk_embeddings
-    )  # normalize the length to one
-    chunk_embeddings = chunk_embeddings.tolist()
-    return chunk_embeddings
+    return openai.Embedding.create(
+        input=[text],
+        api_key=cfg.openai_api_key,
+        **kwargs,
+    )

autogpt/llm/modelsinfo.py

@@ -3,8 +3,5 @@ COSTS = {
     "gpt-3.5-turbo-0301": {"prompt": 0.002, "completion": 0.002},
     "gpt-4-0314": {"prompt": 0.03, "completion": 0.06},
     "gpt-4": {"prompt": 0.03, "completion": 0.06},
-    "gpt-4-0314": {"prompt": 0.03, "completion": 0.06},
-    "gpt-4-32k": {"prompt": 0.06, "completion": 0.12},
-    "gpt-4-32k-0314": {"prompt": 0.06, "completion": 0.12},
     "text-embedding-ada-002": {"prompt": 0.0004, "completion": 0.0},
 }

autogpt/log_cycle/json_handler.py

@@ -1,20 +0,0 @@
-import json
-import logging
-
-
-class JsonFileHandler(logging.FileHandler):
-    def __init__(self, filename, mode="a", encoding=None, delay=False):
-        super().__init__(filename, mode, encoding, delay)
-
-    def emit(self, record):
-        json_data = json.loads(self.format(record))
-        with open(self.baseFilename, "w", encoding="utf-8") as f:
-            json.dump(json_data, f, ensure_ascii=False, indent=4)
-
-
-import logging
-
-
-class JsonFormatter(logging.Formatter):
-    def format(self, record):
-        return record.msg

autogpt/log_cycle/log_cycle.py

@@ -1,83 +0,0 @@
-import json
-import os
-from typing import Any, Dict, Union
-
-from autogpt.logs import logger
-
-DEFAULT_PREFIX = "agent"
-FULL_MESSAGE_HISTORY_FILE_NAME = "full_message_history.json"
-CURRENT_CONTEXT_FILE_NAME = "current_context.json"
-NEXT_ACTION_FILE_NAME = "next_action.json"
-PROMPT_SUMMARY_FILE_NAME = "prompt_summary.json"
-SUMMARY_FILE_NAME = "summary.txt"
-USER_INPUT_FILE_NAME = "user_input.txt"
-
-
-class LogCycleHandler:
-    """
-    A class for logging cycle data.
-    """
-
-    def __init__(self):
-        self.log_count_within_cycle = 0
-
-    @staticmethod
-    def create_directory_if_not_exists(directory_path: str) -> None:
-        if not os.path.exists(directory_path):
-            os.makedirs(directory_path, exist_ok=True)
-
-    def create_outer_directory(self, ai_name: str, created_at: str) -> str:
-        log_directory = logger.get_log_directory()
-
-        if os.environ.get("OVERWRITE_DEBUG") == "1":
-            outer_folder_name = "auto_gpt"
-        else:
-            ai_name_short = ai_name[:15] if ai_name else DEFAULT_PREFIX
-            outer_folder_name = f"{created_at}_{ai_name_short}"
-
-        outer_folder_path = os.path.join(log_directory, "DEBUG", outer_folder_name)
-        self.create_directory_if_not_exists(outer_folder_path)
-
-        return outer_folder_path
-
-    def create_inner_directory(self, outer_folder_path: str, cycle_count: int) -> str:
-        nested_folder_name = str(cycle_count).zfill(3)
-        nested_folder_path = os.path.join(outer_folder_path, nested_folder_name)
-        self.create_directory_if_not_exists(nested_folder_path)
-
-        return nested_folder_path
-
-    def create_nested_directory(
-        self, ai_name: str, created_at: str, cycle_count: int
-    ) -> str:
-        outer_folder_path = self.create_outer_directory(ai_name, created_at)
-        nested_folder_path = self.create_inner_directory(outer_folder_path, cycle_count)
-
-        return nested_folder_path
-
-    def log_cycle(
-        self,
-        ai_name: str,
-        created_at: str,
-        cycle_count: int,
-        data: Union[Dict[str, Any], Any],
-        file_name: str,
-    ) -> None:
-        """
-        Log cycle data to a JSON file.
-
-        Args:
-            data (Any): The data to be logged.
-            file_name (str): The name of the file to save the logged data.
-        """
-        nested_folder_path = self.create_nested_directory(
-            ai_name, created_at, cycle_count
-        )
-
-        json_data = json.dumps(data, ensure_ascii=False, indent=4)
-        log_file_path = os.path.join(
-            nested_folder_path, f"{self.log_count_within_cycle}_{file_name}"
-        )
-
-        logger.log_json(json_data, log_file_path)
-        self.log_count_within_cycle += 1

autogpt/logs.py

@@ -5,11 +5,9 @@ import random
 import re
 import time
 from logging import LogRecord
-from typing import Any
 
 from colorama import Fore, Style
 
-from autogpt.log_cycle.json_handler import JsonFileHandler, JsonFormatter
 from autogpt.singleton import Singleton
 from autogpt.speech import say_text
 
@@ -76,13 +74,7 @@ class Logger(metaclass=Singleton):
         self.logger.addHandler(error_handler)
         self.logger.setLevel(logging.DEBUG)
 
-        self.json_logger = logging.getLogger("JSON_LOGGER")
-        self.json_logger.addHandler(self.file_handler)
-        self.json_logger.addHandler(error_handler)
-        self.json_logger.setLevel(logging.DEBUG)
-
         self.speak_mode = False
-        self.chat_plugins = []
 
     def typewriter_log(
         self, title="", title_color="", content="", speak_text=False, level=logging.INFO
@@ -90,9 +82,6 @@ class Logger(metaclass=Singleton):
         if speak_text and self.speak_mode:
             say_text(f"{title}. {content}")
 
-        for plugin in self.chat_plugins:
-            plugin.report(f"{title}. {content}")
-
         if content:
             if isinstance(content, list):
                 content = " ".join(content)
@@ -159,26 +148,6 @@ class Logger(metaclass=Singleton):
 
         self.typewriter_log("DOUBLE CHECK CONFIGURATION", Fore.YELLOW, additionalText)
 
-    def log_json(self, data: Any, file_name: str) -> None:
-        # Define log directory
-        this_files_dir_path = os.path.dirname(__file__)
-        log_dir = os.path.join(this_files_dir_path, "../logs")
-
-        # Create a handler for JSON files
-        json_file_path = os.path.join(log_dir, file_name)
-        json_data_handler = JsonFileHandler(json_file_path)
-        json_data_handler.setFormatter(JsonFormatter())
-
-        # Log the JSON data using the custom file handler
-        self.json_logger.addHandler(json_data_handler)
-        self.json_logger.debug(data)
-        self.json_logger.removeHandler(json_data_handler)
-
-    def get_log_directory(self):
-        this_files_dir_path = os.path.dirname(__file__)
-        log_dir = os.path.join(this_files_dir_path, "../logs")
-        return os.path.abspath(log_dir)
-
 
 """
 Output stream to console using simulated typing
@@ -226,16 +195,12 @@ class AutoGptFormatter(logging.Formatter):
         if hasattr(record, "color"):
             record.title_color = (
                 getattr(record, "color")
-                + getattr(record, "title", "")
+                + getattr(record, "title")
                 + " "
                 + Style.RESET_ALL
             )
         else:
-            record.title_color = getattr(record, "title", "")
-
-        # Add this line to set 'title' to an empty string if it doesn't exist
-        record.title = getattr(record, "title", "")
-
+            record.title_color = getattr(record, "title")
         if hasattr(record, "msg"):
             record.message_no_color = remove_color_codes(getattr(record, "msg"))
         else:

autogpt/main.py

@@ -3,7 +3,7 @@ import logging
 import sys
 from pathlib import Path
 
-from colorama import Fore, Style
+from colorama import Fore
 
 from autogpt.agent.agent import Agent
 from autogpt.commands.command import CommandRegistry
@@ -13,11 +13,7 @@ from autogpt.logs import logger
 from autogpt.memory import get_memory
 from autogpt.plugins import scan_plugins
 from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT, construct_main_ai_config
-from autogpt.utils import (
-    get_current_git_branch,
-    get_latest_bulletin,
-    markdown_to_ansi_style,
-)
+from autogpt.utils import get_current_git_branch, get_latest_bulletin
 from autogpt.workspace import Workspace
 from scripts.install_plugin_deps import install_plugin_dependencies
 
@@ -61,19 +57,9 @@ def run_auto_gpt(
     )
 
     if not cfg.skip_news:
-        motd, is_new_motd = get_latest_bulletin()
+        motd = get_latest_bulletin()
         if motd:
-            motd = markdown_to_ansi_style(motd)
-            for motd_line in motd.split("\n"):
-                logger.info(motd_line, "NEWS:", Fore.GREEN)
-            if is_new_motd and not cfg.chat_messages_enabled:
-                input(
-                    Fore.MAGENTA
-                    + Style.BRIGHT
-                    + "NEWS: Bulletin was updated! Press Enter to continue..."
-                    + Style.RESET_ALL
-                )
-
+            logger.typewriter_log("NEWS: ", Fore.GREEN, motd)
         git_branch = get_current_git_branch()
         if git_branch and git_branch != "stable":
             logger.typewriter_log(
@@ -118,33 +104,18 @@ def run_auto_gpt(
     cfg.set_plugins(scan_plugins(cfg, cfg.debug_mode))
     # Create a CommandRegistry instance and scan default folder
     command_registry = CommandRegistry()
-
-    command_categories = [
-        "autogpt.commands.analyze_code",
-        "autogpt.commands.audio_text",
-        "autogpt.commands.execute_code",
-        "autogpt.commands.file_operations",
-        "autogpt.commands.git_operations",
-        "autogpt.commands.google_search",
-        "autogpt.commands.image_gen",
-        "autogpt.commands.improve_code",
-        "autogpt.commands.twitter",
-        "autogpt.commands.web_selenium",
-        "autogpt.commands.write_tests",
-        "autogpt.app",
-        "autogpt.commands.task_statuses",
-    ]
-    logger.debug(
-        f"The following command categories are disabled: {cfg.disabled_command_categories}"
-    )
-    command_categories = [
-        x for x in command_categories if x not in cfg.disabled_command_categories
-    ]
-
-    logger.debug(f"The following command categories are enabled: {command_categories}")
-
-    for command_category in command_categories:
-        command_registry.import_commands(command_category)
+    command_registry.import_commands("autogpt.commands.analyze_code")
+    command_registry.import_commands("autogpt.commands.audio_text")
+    command_registry.import_commands("autogpt.commands.execute_code")
+    command_registry.import_commands("autogpt.commands.file_operations")
+    command_registry.import_commands("autogpt.commands.git_operations")
+    command_registry.import_commands("autogpt.commands.google_search")
+    command_registry.import_commands("autogpt.commands.image_gen")
+    command_registry.import_commands("autogpt.commands.improve_code")
+    command_registry.import_commands("autogpt.commands.twitter")
+    command_registry.import_commands("autogpt.commands.web_selenium")
+    command_registry.import_commands("autogpt.commands.write_tests")
+    command_registry.import_commands("autogpt.app")
 
     ai_name = ""
     ai_config = construct_main_ai_config()
@@ -154,13 +125,6 @@ def run_auto_gpt(
     full_message_history = []
     next_action_count = 0
 
-    # add chat plugins capable of report to logger
-    if cfg.chat_messages_enabled:
-        for plugin in cfg.plugins:
-            if hasattr(plugin, "can_handle_report") and plugin.can_handle_report():
-                logger.info(f"Loaded plugin into logger: {plugin.__class__.__name__}")
-                logger.chat_plugins.append(plugin)
-
     # Initialize memory and make sure it is empty.
     # this is particularly important for indexing and referencing pinecone memory
     memory = get_memory(cfg, init=True)

autogpt/memory/pinecone.py

@@ -32,15 +32,12 @@ class PineconeMemory(MemoryProviderSingleton):
             logger.double_check(
                 "Please ensure you have setup and configured Pinecone properly for use."
                 + f"You can check out {Fore.CYAN + Style.BRIGHT}"
-                "https://docs.agpt.co/configuration/memory/#pinecone-api-key-setup"
+                "https://github.com/Torantulino/Auto-GPT#-pinecone-api-key-setup"
                 f"{Style.RESET_ALL} to ensure you've set up everything correctly."
             )
             exit(1)
 
         if table_name not in pinecone.list_indexes():
-            logger.typewriter_log(
-                "Connecting Pinecone. This may take some time...", Fore.MAGENTA, ""
-            )
             pinecone.create_index(
                 table_name, dimension=dimension, metric=metric, pod_type=pod_type
             )

autogpt/memory/redismem.py

@@ -58,7 +58,7 @@ class RedisMemory(MemoryProviderSingleton):
             logger.double_check(
                 "Please ensure you have setup and configured Redis properly for use. "
                 + f"You can check out {Fore.CYAN + Style.BRIGHT}"
-                f"https://docs.agpt.co/configuration/memory/#redis-setup{Style.RESET_ALL}"
+                f"https://github.com/Torantulino/Auto-GPT#redis-setup{Style.RESET_ALL}"
                 " to ensure you've set up everything correctly."
             )
             exit(1)

autogpt/memory_management/summary_memory.py

@@ -1,12 +1,8 @@
-import copy
 import json
 from typing import Dict, List, Tuple
 
-from autogpt.agent import Agent
 from autogpt.config import Config
 from autogpt.llm.llm_utils import create_chat_completion
-from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME
-from autogpt.logs import logger
 
 cfg = Config()
 
@@ -48,9 +44,7 @@ def get_newly_trimmed_messages(
     return new_messages_not_in_context, new_index
 
 
-def update_running_summary(
-    agent: Agent, current_memory: str, new_events: List[Dict[str, str]]
-) -> str:
+def update_running_summary(current_memory: str, new_events: List[Dict]) -> str:
     """
     This function takes a list of dictionaries representing new events and combines them with the current summary,
     focusing on key and potentially important information to remember. The updated summary is returned in a message
@@ -67,32 +61,22 @@ def update_running_summary(
         update_running_summary(new_events)
         # Returns: "This reminds you of these events from your past: \nI entered the kitchen and found a scrawled note saying 7."
     """
-    # Create a copy of the new_events list to prevent modifying the original list
-    new_events = copy.deepcopy(new_events)
-
     # Replace "assistant" with "you". This produces much better first person past tense results.
     for event in new_events:
         if event["role"].lower() == "assistant":
             event["role"] = "you"
-
             # Remove "thoughts" dictionary from "content"
-            try:
-                content_dict = json.loads(event["content"])
-                if "thoughts" in content_dict:
-                    del content_dict["thoughts"]
-                event["content"] = json.dumps(content_dict)
-            except json.decoder.JSONDecodeError:
-                if cfg.debug_mode:
-                    logger.error(f"Error: Invalid JSON: {event['content']}\n")
-
+            content_dict = json.loads(event["content"])
+            if "thoughts" in content_dict:
+                del content_dict["thoughts"]
+            event["content"] = json.dumps(content_dict)
         elif event["role"].lower() == "system":
             event["role"] = "your computer"
-
         # Delete all user messages
         elif event["role"] == "user":
             new_events.remove(event)
 
-    # This can happen at any point during execution, not just the beginning
+    # This can happen at any point during execturion, not just the beginning
     if len(new_events) == 0:
         new_events = "Nothing new happened."
 
@@ -117,24 +101,9 @@ Latest Development:
             "content": prompt,
         }
     ]
-    agent.log_cycle_handler.log_cycle(
-        agent.config.ai_name,
-        agent.created_at,
-        agent.cycle_count,
-        messages,
-        PROMPT_SUMMARY_FILE_NAME,
-    )
 
     current_memory = create_chat_completion(messages, cfg.fast_llm_model)
 
-    agent.log_cycle_handler.log_cycle(
-        agent.config.ai_name,
-        agent.created_at,
-        agent.cycle_count,
-        current_memory,
-        SUMMARY_FILE_NAME,
-    )
-
     message_to_return = {
         "role": "system",
         "content": f"This reminds you of these events from your past: \n{current_memory}",

autogpt/plugins.py

@@ -33,7 +33,7 @@ def inspect_zip_for_modules(zip_path: str, debug: bool = False) -> list[str]:
     result = []
     with zipfile.ZipFile(zip_path, "r") as zfile:
         for name in zfile.namelist():
-            if name.endswith("__init__.py") and not name.startswith("__MACOSX"):
+            if name.endswith("__init__.py"):
                 logger.debug(f"Found module '{name}' in the zipfile at: {name}")
                 result.append(name)
     if len(result) == 0:
@@ -209,10 +209,6 @@ def scan_plugins(cfg: Config, debug: bool = False) -> List[AutoGPTPluginTemplate
     loaded_plugins = []
     # Generic plugins
     plugins_path_path = Path(cfg.plugins_dir)
-
-    logger.debug(f"Allowlisted Plugins: {cfg.plugins_allowlist}")
-    logger.debug(f"Denylisted Plugins: {cfg.plugins_denylist}")
-
     for plugin in plugins_path_path.glob("*.zip"):
         if moduleList := inspect_zip_for_modules(str(plugin), debug):
             for module in moduleList:
@@ -261,12 +257,9 @@ def denylist_allowlist_check(plugin_name: str, cfg: Config) -> bool:
     Returns:
         True or False
     """
-    logger.debug(f"Checking if plugin {plugin_name} should be loaded")
     if plugin_name in cfg.plugins_denylist:
-        logger.debug(f"Not loading plugin {plugin_name} as it was in the denylist.")
         return False
     if plugin_name in cfg.plugins_allowlist:
-        logger.debug(f"Loading plugin {plugin_name} as it was in the allowlist.")
         return True
     ack = input(
         f"WARNING: Plugin {plugin_name} found. But not in the"

autogpt/processing/text.py

@@ -30,10 +30,10 @@ def split_text(
     Raises:
         ValueError: If the text is longer than the maximum length
     """
-    flattened_paragraphs = " ".join(text.split("\n"))
+    flatened_paragraphs = " ".join(text.split("\n"))
     nlp = spacy.load(CFG.browse_spacy_language_model)
     nlp.add_pipe("sentencizer")
-    doc = nlp(flattened_paragraphs)
+    doc = nlp(flatened_paragraphs)
     sentences = [sent.text.strip() for sent in doc.sents]
 
     current_chunk = []

autogpt/prompts/default_prompts.py

@@ -1,29 +0,0 @@
-#########################Setup.py#################################
-
-DEFAULT_SYSTEM_PROMPT_AICONFIG_AUTOMATIC = """
-Your task is to devise up to 5 highly effective goals and an appropriate role-based name (_GPT) for an autonomous agent, ensuring that the goals are optimally aligned with the successful completion of its assigned task.
-
-The user will provide the task, you will provide only the output in the exact format specified below with no explanation or conversation.
-
-Example input:
-Help me with marketing my business
-
-Example output:
-Name: CMOGPT
-Description: a professional digital marketer AI that assists Solopreneurs in growing their businesses by providing world-class expertise in solving marketing problems for SaaS, content products, agencies, and more.
-Goals:
-- Engage in effective problem-solving, prioritization, planning, and supporting execution to address your marketing needs as your virtual Chief Marketing Officer.
-
-- Provide specific, actionable, and concise advice to help you make informed decisions without the use of platitudes or overly wordy explanations.
-
-- Identify and prioritize quick wins and cost-effective campaigns that maximize results with minimal time and budget investment.
-
-- Proactively take the lead in guiding you and offering suggestions when faced with unclear information or uncertainty to ensure your marketing strategy remains on track.
-"""
-
-DEFAULT_TASK_PROMPT_AICONFIG_AUTOMATIC = (
-    "Task: '{{user_prompt}}'\n"
-    "Respond only with the output in the exact format specified in the system prompt, with no explanation or conversation.\n"
-)
-
-DEFAULT_USER_DESIRE_PROMPT = "Write a wikipedia style article about the project: https://github.com/significant-gravitas/Auto-GPT"  # Default prompt

autogpt/prompts/prompt.py

@@ -41,6 +41,15 @@ def build_default_prompt_generator() -> PromptGenerator:
         'Exclusively use the commands listed in double quotes e.g. "command name"'
     )
 
+    # Define the command list
+    commands = [
+        ("Task Complete (Shutdown)", "task_complete", {"reason": "<reason>"}),
+    ]
+
+    # Add commands to the PromptGenerator object
+    for command_label, command_name, args in commands:
+        prompt_generator.add_command(command_label, command_name, args)
+
     # Add resources to the PromptGenerator object
     prompt_generator.add_resource(
         "Internet access for searches and information gathering."

autogpt/setup.py

@@ -2,18 +2,12 @@
 import re
 
 from colorama import Fore, Style
-from jinja2 import Template
 
 from autogpt import utils
 from autogpt.config import Config
 from autogpt.config.ai_config import AIConfig
 from autogpt.llm import create_chat_completion
 from autogpt.logs import logger
-from autogpt.prompts.default_prompts import (
-    DEFAULT_SYSTEM_PROMPT_AICONFIG_AUTOMATIC,
-    DEFAULT_TASK_PROMPT_AICONFIG_AUTOMATIC,
-    DEFAULT_USER_DESIRE_PROMPT,
-)
 
 CFG = Config()
 
@@ -48,7 +42,7 @@ def prompt_user() -> AIConfig:
     )
 
     if user_desire == "":
-        user_desire = DEFAULT_USER_DESIRE_PROMPT  # Default prompt
+        user_desire = "Write a wikipedia style article about the project: https://github.com/significant-gravitas/Auto-GPT"  # Default prompt
 
     # If user desire contains "--manual"
     if "--manual" in user_desire:
@@ -170,10 +164,27 @@ def generate_aiconfig_automatic(user_prompt) -> AIConfig:
     AIConfig: The AIConfig object tailored to the user's input
     """
 
-    system_prompt = DEFAULT_SYSTEM_PROMPT_AICONFIG_AUTOMATIC
-    prompt_ai_config_automatic = Template(
-        DEFAULT_TASK_PROMPT_AICONFIG_AUTOMATIC
-    ).render(user_prompt=user_prompt)
+    system_prompt = """
+Your task is to devise up to 5 highly effective goals and an appropriate role-based name (_GPT) for an autonomous agent, ensuring that the goals are optimally aligned with the successful completion of its assigned task.
+
+The user will provide the task, you will provide only the output in the exact format specified below with no explanation or conversation.
+
+Example input:
+Help me with marketing my business
+
+Example output:
+Name: CMOGPT
+Description: a professional digital marketer AI that assists Solopreneurs in growing their businesses by providing world-class expertise in solving marketing problems for SaaS, content products, agencies, and more.
+Goals:
+- Engage in effective problem-solving, prioritization, planning, and supporting execution to address your marketing needs as your virtual Chief Marketing Officer.
+
+- Provide specific, actionable, and concise advice to help you make informed decisions without the use of platitudes or overly wordy explanations.
+
+- Identify and prioritize quick wins and cost-effective campaigns that maximize results with minimal time and budget investment.
+
+- Proactively take the lead in guiding you and offering suggestions when faced with unclear information or uncertainty to ensure your marketing strategy remains on track.
+"""
+
     # Call LLM with the string as user input
     messages = [
         {
@@ -182,7 +193,7 @@ def generate_aiconfig_automatic(user_prompt) -> AIConfig:
         },
         {
             "role": "user",
-            "content": prompt_ai_config_automatic,
+            "content": f"Task: '{user_prompt}'\nRespond only with the output in the exact format specified in the system prompt, with no explanation or conversation.\n",
         },
     ]
     output = create_chat_completion(messages, CFG.fast_llm_model)

autogpt/url_utils/validators.py

@@ -7,7 +7,7 @@ from requests.compat import urljoin
 
 def validate_url(func: Callable[..., Any]) -> Any:
     """The method decorator validate_url is used to validate urls for any command that requires
-    a url as an argument"""
+    a url as an arugment"""
 
     @functools.wraps(func)
     def wrapper(url: str, *args, **kwargs) -> Any:

autogpt/utils.py

@@ -1,9 +1,8 @@
 import os
-import re
 
 import requests
 import yaml
-from colorama import Fore, Style
+from colorama import Fore
 from git.repo import Repo
 
 from autogpt.logs import logger
@@ -108,48 +107,15 @@ def get_current_git_branch() -> str:
         return ""
 
 
-def get_latest_bulletin() -> tuple[str, bool]:
-    exists = os.path.exists("data/CURRENT_BULLETIN.md")
+def get_latest_bulletin() -> str:
+    exists = os.path.exists("CURRENT_BULLETIN.md")
     current_bulletin = ""
     if exists:
-        current_bulletin = open(
-            "data/CURRENT_BULLETIN.md", "r", encoding="utf-8"
-        ).read()
+        current_bulletin = open("CURRENT_BULLETIN.md", "r", encoding="utf-8").read()
     new_bulletin = get_bulletin_from_web()
-    is_new_news = new_bulletin != "" and new_bulletin != current_bulletin
-
-    news_header = Fore.YELLOW + "Welcome to Auto-GPT!\n"
-    if new_bulletin or current_bulletin:
-        news_header += (
-            "Below you'll find the latest Auto-GPT News and updates regarding features!\n"
-            "If you don't wish to see this message, you "
-            "can run Auto-GPT with the *--skip-news* flag.\n"
-        )
+    is_new_news = new_bulletin != current_bulletin
 
     if new_bulletin and is_new_news:
-        open("data/CURRENT_BULLETIN.md", "w", encoding="utf-8").write(new_bulletin)
-        current_bulletin = f"{Fore.RED}::NEW BULLETIN::{Fore.RESET}\n\n{new_bulletin}"
-
-    return f"{news_header}\n{current_bulletin}", is_new_news
-
-
-def markdown_to_ansi_style(markdown: str):
-    ansi_lines: list[str] = []
-    for line in markdown.split("\n"):
-        line_style = ""
-
-        if line.startswith("# "):
-            line_style += Style.BRIGHT
-        else:
-            line = re.sub(
-                r"(?<!\*)\*(\*?[^*]+\*?)\*(?!\*)",
-                rf"{Style.BRIGHT}\1{Style.NORMAL}",
-                line,
-            )
-
-        if re.match(r"^#+ ", line) is not None:
-            line_style += Fore.CYAN
-            line = re.sub(r"^#+ ", "", line)
-
-        ansi_lines.append(f"{line_style}{line}{Style.RESET_ALL}")
-    return "\n".join(ansi_lines)
+        open("CURRENT_BULLETIN.md", "w", encoding="utf-8").write(new_bulletin)
+        return f" {Fore.RED}::UPDATED:: {Fore.CYAN}{new_bulletin}{Fore.RESET}"
+    return current_bulletin

data_ingestion.py

@@ -1,7 +1,7 @@
 import argparse
 import logging
 
-from autogpt.commands.file_operations import ingest_file, list_files
+from autogpt.commands.file_operations import ingest_file, search_files
 from autogpt.config import Config
 from autogpt.memory import get_memory
 
@@ -10,11 +10,12 @@ cfg = Config()
 
 def configure_logging():
     logging.basicConfig(
+        filemode="a",
         format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s",
         datefmt="%H:%M:%S",
         level=logging.DEBUG,
         handlers=[
-            logging.FileHandler(filename="log-ingestion.txt", mode="a"),
+            logging.FileHandler(filename="log-ingestion.txt"),
             logging.StreamHandler(),
         ],
     )
@@ -30,7 +31,7 @@ def ingest_directory(directory, memory, args):
     """
     global logger
     try:
-        files = list_files(directory)
+        files = search_files(directory)
         for file in files:
             ingest_file(file, memory, args.max_length, args.overlap)
     except Exception as e:
@@ -67,6 +68,7 @@ def main() -> None:
         help="The max_length of each chunk when ingesting files (default: 4000)",
         default=4000,
     )
+
     args = parser.parse_args()
 
     # Initialize memory

docker-compose.yml

@@ -1,6 +1,5 @@
 # To boot the app run the following:
 # docker-compose run auto-gpt
-# NOTE: Version 3.9 requires at least docker-compose version 1.29.0 !
 version: "3.9"
 
 services:

docs/challenges/beat.md

@@ -1,11 +0,0 @@
-# Beat a Challenge
-
-If you have a solution or idea to tackle an existing challenge, you can contribute by working on it and submitting your solution. Here's how to get started:
-
-## Guidelines for Beating a Challenge
-
-1. **Choose a challenge**: Browse the [List of Challenges](list.md) and choose one that interests you or aligns with your expertise.
-
-2. **Understand the problem**: Make sure you thoroughly understand the problem at hand, its scope, and the desired outcome.
-
-3. **Develop a solution**: Work on creating a solution for the challenge. This may/

docs/challenges/building_challenges.md

@@ -1,135 +0,0 @@
-# Creating Challenges for AutoGPT
-
-🏹 We're on the hunt for talented Challenge Creators! 🎯
-
-Join us in shaping the future of Auto-GPT by designing challenges that test its limits. Your input will be invaluable in guiding our progress and ensuring that we're on the right track. We're seeking individuals with a diverse skill set, including:
-
-🎨 UX Design: Your expertise will enhance the user experience for those attempting to conquer our challenges. With your help, we'll develop a dedicated section in our wiki, and potentially even launch a standalone website.
-
-💻 Coding Skills: Proficiency in Python, pytest, and VCR (a library that records OpenAI calls and stores them) will be essential for creating engaging and robust challenges.
-
-⚙️ DevOps Skills: Experience with CI pipelines in GitHub and possibly Google Cloud Platform will be instrumental in streamlining our operations.
-
-Are you ready to play a pivotal role in Auto-GPT's journey? Apply now to become a Challenge Creator by opening a PR! 🚀
-
-
-# Getting Started
-Clone the original AutoGPT repo and checkout to master branch
-
-
-The challenges are not written using a specific framework. They try to be very agnostic
-The challenges are acting like a user that wants something done: 
-INPUT:
-- User desire
-- Files, other inputs
-
-Output => Artifact (files, image, code, etc, etc...)
-
-## Defining your Agent
-
-Go to https://github.com/Significant-Gravitas/Auto-GPT/blob/master/tests/integration/agent_factory.py
-
-Create your agent fixture.
-
-```python
-def kubernetes_agent(
-    agent_test_config, memory_local_cache, workspace: Workspace
-):
-    # Please choose the commands your agent will need to beat the challenges, the full list is available in the main.py
-    # (we 're working on a better way to design this, for now you have to look at main.py)
-    command_registry = CommandRegistry()
-    command_registry.import_commands("autogpt.commands.file_operations")
-    command_registry.import_commands("autogpt.app")
-
-    # Define all the settings of our challenged agent
-    ai_config = AIConfig(
-        ai_name="Kubernetes",
-        ai_role="an autonomous agent that specializes in creating Kubernetes deployment templates.",
-        ai_goals=[
-            "Write a simple kubernetes deployment file and save it as a kube.yaml.",
-        ],
-    )
-    ai_config.command_registry = command_registry
-
-    system_prompt = ai_config.construct_full_prompt()
-    Config().set_continuous_mode(False)
-    agent = Agent(
-        # We also give the AI a name 
-        ai_name="Kubernetes-Demo",
-        memory=memory_local_cache,
-        full_message_history=[],
-        command_registry=command_registry,
-        config=ai_config,
-        next_action_count=0,
-        system_prompt=system_prompt,
-        triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
-        workspace_directory=workspace.root,
-    )
-
-    return agent
-```
-
-## Creating your challenge
-Go to `tests/integration/challenges`and create a file that is called `test_your_test_description.py` and add it to the appropriate folder. If no category exists you can create a new one.
-
-Your test could look something like this 
-
-```python
-import contextlib
-from functools import wraps
-from typing import Generator
-
-import pytest
-import yaml
-
-from autogpt.commands.file_operations import read_file, write_to_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.integration.challenges.utils import run_multiple_times
-from tests.utils import requires_api_key
-
-
-def input_generator(input_sequence: list) -> Generator[str, None, None]:
-    """
-    Creates a generator that yields input strings from the given sequence.
-
-    :param input_sequence: A list of input strings.
-    :return: A generator that yields input strings.
-    """
-    yield from input_sequence
-
-
-@pytest.mark.skip("This challenge hasn't been beaten yet.")
-@pytest.mark.vcr
-@requires_api_key("OPENAI_API_KEY")
-@run_multiple_times(3)
-def test_information_retrieval_challenge_a(kubernetes_agent, monkeypatch) -> None:
-    """
-    Test the challenge_a function in a given agent by mocking user inputs
-    and checking the output file content.
-
-    :param get_company_revenue_agent: The agent to test.
-    :param monkeypatch: pytest's monkeypatch utility for modifying builtins.
-    """
-    input_sequence = ["s", "s", "s", "s", "s", "EXIT"]
-    gen = input_generator(input_sequence)
-    monkeypatch.setattr("builtins.input", lambda _: next(gen))
-
-    with contextlib.suppress(SystemExit):
-        run_interaction_loop(kubernetes_agent, None)
-
-    # here we load the output file
-    file_path = str(kubernetes_agent.workspace.get_path("kube.yaml"))
-    content = read_file(file_path)
-
-    # then we check if it's including keywords from the kubernetes deployment config
-    for word in ["apiVersion", "kind", "metadata", "spec"]:
-        assert word in content, f"Expected the file to contain {word}"
-
-    content = yaml.safe_load(content)
-    for word in ["Service", "Deployment", "Pod"]:
-        assert word in content["kind"], f"Expected the file to contain {word}"
-
-
-```
-
-

docs/challenges/challenge_template.md

@@ -1,24 +0,0 @@
-# Challenge Title
-
-## Description
-
-Provide a clear and concise description of the challenge. Include any relevant examples or files to illustrate the problem.
-
-## Input
-
-If the challenge involves specific input files, describe them here. Provide the file names and their contents, if necessary. Use triple backticks (```) to format the content as a code block.
-
-For example:
-
-instructions_1.txt
-
-The current task_id is 4563.\n[NOISE intended to confuse the agent]
-Read the file instructions_2.txt using the read_file command.
-
-## Scope
-
-Define the scope of the challenge, including any relevant constraints, requirements, or limitations.
-
-## Success Evaluation
-
-Explain how success will be measured or evaluated for the challenge. This helps others understand what the desired outcome is and how to work towards it.

docs/challenges/information_retrieval/challenge_a.md

@@ -1,20 +0,0 @@
-# Information Retrieval Challenge A
-
-**Status**: Current level to beat: level 1
-
-**Command to try**:
-
-```
-pytest -s tests/integration/challenges/information_retrieval/test_information_retrieval_challenge_a.py
-```
-
-## Description
-
-The agent's goal is to find the revenue of Tesla in 2022.
-
-It should write the result in a file called output.txt.
-
-The agent should be able to beat this test consistently (this is the hardest part).
-## Objective
-
-The objective of this challenge is to test the agent's ability to retrieve information in a consistent way.

docs/challenges/information_retrieval/introduction.md

@@ -1,3 +0,0 @@
-# Information Retrieval
-
-Information retrieval challenges are designed to evaluate the proficiency of an AI agent, such as Auto-GPT, in searching, extracting, and presenting relevant information from a vast array of sources. These challenges often encompass tasks such as interpreting user queries, browsing the web, and filtering through unstructured data.

docs/challenges/introduction.md

@@ -1,23 +0,0 @@
-introduction.md
-# Introduction to Challenges
-
-Welcome to the Auto-GPT Challenges page! This is a space where we encourage community members to collaborate and contribute towards improving Auto-GPT by identifying and solving challenges that Auto-GPT is not yet able to achieve.
-
-## What are challenges?
-
-Challenges are tasks or problems that Auto-GPT has difficulty solving or has not yet been able to accomplish. These may include improving specific functionalities, enhancing the model's understanding of specific domains, or even developing new features that the current version of Auto-GPT lacks.
-
-## Why are challenges important?
-
-Addressing challenges helps us improve Auto-GPT's performance, usability, and versatility. By working together to tackle these challenges, we can create a more powerful and efficient tool for everyone. It also allows the community to actively contribute to the project, making it a true open-source effort.
-
-## How can you participate?
-
-There are two main ways to get involved with challenges:
-
-1. **Submit a Challenge**: If you have identified a task that Auto-GPT struggles with, you can submit it as a challenge. This allows others to see the issue and collaborate on finding a solution.
-2. **Beat a Challenge**: If you have a solution or idea to tackle an existing challenge, you can contribute by working on the challenge and submitting your solution.
-
-To learn more about submitting and beating challenges, please visit the [List of Challenges](list.md), [Submit a Challenge](submit.md), and [Beat a Challenge](beat.md) pages.
-
-We look forward to your contributions and the exciting solutions that the community will develop together to make Auto-GPT even better!

docs/challenges/list.md

@@ -1,5 +0,0 @@
-# List of Challenges
-
-This page contains a curated list of challenges that Auto-GPT currently faces. If you think you have a solution or idea to tackle any of these challenges, feel free to dive in and start working on them! New challenges can also be submitted by following the guidelines on the [Submit a Challenge](challenges/submit.md) page.
-
-Memory Challenges: [List of Challenges](memory/introduction.md)

docs/challenges/memory/challenge_a.md

@@ -1,39 +0,0 @@
-# Memory Challenge A
-
-**Status**: Challenge Completed
-
-
-## Description
-
-The agent, Follow-Instructions-GPT, has the following goals:
-
-- Use the command `read_file` to read the `instructions_1.txt` file.
-- Follow the instructions in the `instructions_1.txt` file.
-
-The challenge involves a series of text files containing instructions. The agent must follow the instructions and keep track of the task ID as it progresses through the files.
-
-## Files
-
-- `instructions_1.txt`
-
-The task_id is 1234
-Read the file instructions_1.txt
-
-
-
-- `instructions_2.txt`
-
-Read the file instructions_2.txt using the read_file command.
-
-
-...and so on.
-
-- `instructions_n.txt`
-
-Write the task_id into the file output.txt.
-
-
-## Objective
-
-The objective of this challenge is to test the agent's ability to follow instructions and maintain memory of the task Id throughout the process. The agent successfully completed this challenge if it wrote the task id in a file.
-

docs/challenges/memory/challenge_b.md

@@ -1,44 +0,0 @@
-# Memory Challenge B
-
-**Status**: Current level to beat: level 3
-
-**Command to try**: 
-```
-pytest -s tests/integration/challenges/memory/test_memory_challenge_b.py --level=3
-``
-
-## Description
-
-The agent, Follow-Instructions-GPT, has the following goals:
-
-- Use the command `read_file` to read the `instructions_1.txt` file.
-- Follow the instructions in the `instructions_1.txt` file.
-
-The challenge involves a series of text files containing instructions and task IDs. The agent must follow the instructions and keep track of the task IDs as it progresses through the files.
-
-## Files
-
-- `instructions_1.txt`
-
-The current task_id is 4563.\n[NOISE intended to confuse the agent]
-Read the file instructions_2.txt using the read_file command.
-
-
-- `instructions_2.txt`
-
-The current task_id is 6182.\n[NOISE intended to confuse the agent]
-Read the file instructions_3.txt using the read_file command.
-
-
-...and so on.
-
-- `instructions_n.txt`
-
-The current task_id is 8912.
-Write all the task_ids into the file output.txt. The file has not been created yet. After that, use the task_complete command.
-
-
-## Objective
-
-The objective of this challenge is to test the agent's ability to follow instructions and maintain memory of the task IDs throughout the process. The agent successfully completed this challenge if it wrote the task ids in a file.
-

docs/challenges/memory/challenge_c.md

@@ -1,45 +0,0 @@
-# Memory Challenge C
-
-**Status**: Current level to beat: level 1
-
-**Command to try**: 
-```
-pytest -s tests/integration/challenges/memory/test_memory_challenge_c.py --level=2
-``
-
-## Description
-
-The agent, Follow-Instructions-GPT, has the following goals:
-
-- Use the command `read_file` to read the `instructions_1.txt` file.
-- Follow the instructions in the `instructions_1.txt` file.
-
-The challenge involves a series of text files containing instructions and silly phrases. The agent must follow the instructions and keep track of the task IDs as it progresses through the files.
-
-## Files
-
-- `instructions_1.txt`
-
-The current phrase is "The purple elephant danced on a rainbow while eating a taco.".\n[NOISE intended to confuse the agent]
-Read the file instructions_2.txt using the read_file command.
-
-
-- `instructions_2.txt`
-
-The current phrase is "The sneaky toaster stole my socks and ran away to Hawaii.".\n[NOISE intended to confuse the agent]
-Read the file instructions_3.txt using the read_file command.
-
-
-...and so on.
-
-- `instructions_n.txt`
-
-The current phrase is "My pet rock sings better than Beyoncé on Tuesdays."
-Write all the phrases into the file output.txt. The file has not been created yet. After that, use the task_complete command.
-
-
-## Objective
-
-The objective of this challenge is to test the agent's ability to follow instructions and maintain memory of the task IDs throughout the process. The agent successfully completed this challenge if it wrote the phrases in a file.
-
-This is presumably harder than task ids as the phrases are longer and more likely to be compressed as the agent does more work.

docs/challenges/memory/introduction.md

@@ -1,5 +0,0 @@
-# Memory Challenges
-
-Memory challenges are designed to test the ability of an AI agent, like Auto-GPT, to remember and use information throughout a series of tasks. These challenges often involve following instructions, processing text files, and keeping track of important data.
-
-The goal of memory challenges is to improve an agent's performance in tasks that require remembering and using information over time. By addressing these challenges, we can enhance Auto-GPT's capabilities and make it more useful in real-world applications.

docs/challenges/submit.md

@@ -1,14 +0,0 @@
-# Submit a Challenge
-
-If you have identified a task or problem that Auto-GPT struggles with, you can submit it as a challenge for the community to tackle. Here's how you can submit a new challenge:
-
-## How to Submit a Challenge
-
-1. Create a new `.md` file in the `challenges` directory in the Auto-GPT GitHub repository. Make sure to pick the right category. 
-2. Name the file with a descriptive title for the challenge, using hyphens instead of spaces (e.g., `improve-context-understanding.md`).
-3. In the file, follow the [challenge_template.md](challenge_template.md) to describe the problem, define the scope, and evaluate success.
-4. Commit the file and create a pull request.
-
-Once submitted, the community can review and discuss the challenge. If deemed appropriate, it will be added to the [List of Challenges](list.md).
-
-If you're looking to contribute by working on an existing challenge, check out [Beat a Challenge](beat.md) for guidelines on how to get started.

docs/index.md

@@ -1,5 +1,5 @@
 # Auto-GPT
 
-Welcome to Auto-GPT.  Please follow the [Installation](/setup/) guide to get started.
+Welcome to Auto-GPT.  Please follow the [Installation](https://significant-gravitas.github.io/Auto-GPT/setup/) guide to get started.
 
 It is recommended to use a virtual machine for tasks that require high security measures to prevent any potential harm to the main computer's system and data.

docs/setup.md

@@ -23,7 +23,7 @@ Get your OpenAI API key from: [https://platform.openai.com/account/api-keys](htt
 [openai/api limits]: https://platform.openai.com/docs/guides/rate-limits/overview#:~:text=Free%20trial%20users,RPM%0A40%2C000%20TPM
 
 !!! important
-    It's highly recommended that you keep track of your API costs on [the Usage page](https://platform.openai.com/account/usage).
+    It's highly recommended that you keep keep track of your API costs on [the Usage page](https://platform.openai.com/account/usage).
     You can also set limits on how much you spend on [the Usage limits page](https://platform.openai.com/account/billing/limits).
 
 ![For OpenAI API key to work, set up paid account at OpenAI API > Billing](./imgs/openai-api-key-billing-paid-account.png)
@@ -54,15 +54,9 @@ Get your OpenAI API key from: [https://platform.openai.com/account/api-keys](htt
             environment:
               MEMORY_BACKEND: ${MEMORY_BACKEND:-redis}
               REDIS_HOST: ${REDIS_HOST:-redis}
-            profiles: ["exclude-from-up"]
             volumes:
-              - ./auto_gpt_workspace:/app/autogpt/auto_gpt_workspace
-              - ./data:/app/data
-              ## allow auto-gpt to write logs to disk
-              - ./logs:/app/logs
-              ## uncomment following lines if you have / want to make use of these files
-              #- ./azure.yaml:/app/azure.yaml
-              #- ./ai_settings.yaml:/app/ai_settings.yaml
+              - ./:/app
+            profiles: ["exclude-from-up"]
           redis:
             image: "redis/redis-stack-server:latest"
 
@@ -156,18 +150,7 @@ Get your OpenAI API key from: [https://platform.openai.com/account/api-keys](htt
 
 ### Run with Docker
 
-Easiest is to use `docker-compose`. 
-
-Important: Docker Compose version 1.29.0 or later is required to use version 3.9 of the Compose file format.
-You can check the version of Docker Compose installed on your system by running the following command:
-
-	docker-compose version
-
-This will display the version of Docker Compose that is currently installed on your system.
-
-If you need to upgrade Docker Compose to a newer version, you can follow the installation instructions in the Docker documentation: https://docs.docker.com/compose/install/
-
-Once you have a recent version of docker-compose, run the commands below in your Auto-GPT folder.
+Easiest is to use `docker-compose`. Run the commands below in your Auto-GPT folder.
 
 1. Build the image. If you have pulled the image from Docker Hub, skip this step.
 

docs/usage.md

@@ -93,13 +93,3 @@ To print out debug logs:
 ``` shell
 ./run.sh --debug
 ```
-
-## Disabling Command Categories
-
-If you want to selectively disable some command groups, you can use the `DISABLED_COMMAND_CATEGORIES` config in your `.env`. You can find the list of categories in your `.env.template`
-
-For example, to disable coding related features, set it to the value below:
-
-```ini
-DISABLED_COMMAND_CATEGORIES=autogpt.commands.analyze_code,autogpt.commands.execute_code,autogpt.commands.git_operations,autogpt.commands.improve_code,autogpt.commands.write_tests
-```

mkdocs.yml

@@ -1,5 +1,5 @@
 site_name: Auto-GPT
-site_url: https://docs.agpt.co/
+site_url: https://significantgravitas.github.io/Auto-GPT/
 repo_url: https://github.com/Significant-Gravitas/Auto-GPT
 nav:
   - Home: index.md
@@ -17,20 +17,6 @@ nav:
     - Running tests: testing.md
     - Code of Conduct: code-of-conduct.md
 
-  - Challenges:
-    - Introduction: challenges/introduction.md
-    - List of Challenges:
-      - Memory:
-        - Introduction: challenges/memory/introduction.md
-        - Memory Challenge A: challenges/memory/challenge_a.md
-        - Memory Challenge B: challenges/memory/challenge_b.md
-        - Memory Challenge C: challenges/memory/challenge_c.md
-      - Information retrieval:
-        - Introduction: challenges/information_retrieval/introduction.md
-        - Information Retrieval Challenge A: challenges/information_retrieval/challenge_a.md
-  - Submit a Challenge: challenges/submit.md
-  - Beat a Challenge: challenges/beat.md
-
   - License: https://github.com/Significant-Gravitas/Auto-GPT/blob/master/LICENSE
 
 theme: readthedocs

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "agpt"
-version = "0.3.0"
+version = "0.2.2"
 authors = [
   { name="Torantulino", email="support@agpt.co" },
 ]

requirements.txt

@@ -10,18 +10,17 @@ requests
 tiktoken==0.3.3
 gTTS==2.3.1
 docker
-duckduckgo-search>=2.9.5
+duckduckgo-search
 google-api-python-client #(https://developers.google.com/custom-search/v1/overview)
 pinecone-client==2.2.1
 redis
-orjson==3.8.10
+orjson
 Pillow
 selenium==4.1.4
 webdriver-manager
 jsonschema
 tweepy
 click
-charset-normalizer>=3.1.0
 spacy>=3.0.0,<4.0.0
 en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl
 
@@ -53,4 +52,3 @@ pytest-integration
 pytest-mock
 vcrpy
 pytest-recording
-pytest-xdist

run.bat

@@ -1,24 +1,8 @@
 @echo off
-setlocal enabledelayedexpansion
-
-:FindPythonCommand
-for %%A in (python python3) do (
-    where /Q %%A
-    if !errorlevel! EQU 0 (
-        set "PYTHON_CMD=%%A"
-        goto :Found
-    )
-)
-
-echo Python not found. Please install Python.
-pause
-exit /B 1
-
-:Found
-%PYTHON_CMD% scripts/check_requirements.py requirements.txt
+python scripts/check_requirements.py requirements.txt
 if errorlevel 1 (
     echo Installing missing packages...
-    %PYTHON_CMD% -m pip install -r requirements.txt
+    pip install -r requirements.txt
 )
-%PYTHON_CMD% -m autogpt %*
-pause
+python -m autogpt %*
+pause

run.sh

@@ -1,25 +1,9 @@
 #!/bin/bash
-
-function find_python_command() {
-    if command -v python &> /dev/null
-    then
-        echo "python"
-    elif command -v python3 &> /dev/null
-    then
-        echo "python3"
-    else
-        echo "Python not found. Please install Python."
-        exit 1
-    fi
-}
-
-PYTHON_CMD=$(find_python_command)
-
-$PYTHON_CMD scripts/check_requirements.py requirements.txt
+python scripts/check_requirements.py requirements.txt
 if [ $? -eq 1 ]
 then
     echo Installing missing packages...
-    $PYTHON_CMD -m pip install -r requirements.txt
+    pip install -r requirements.txt
 fi
-$PYTHON_CMD -m autogpt $@
-read -p "Press any key to continue..."
+python -m autogpt $@
+read -p "Press any key to continue..."

scripts/check_requirements.py

@@ -11,19 +11,15 @@ def main():
             line.strip().split("#")[0].strip() for line in f.readlines()
         ]
 
-    installed_packages = {pkg.key: pkg.version for pkg in pkg_resources.working_set}
+    installed_packages = [package.key for package in pkg_resources.working_set]
 
     missing_packages = []
-    for required_package in required_packages:
-        if not required_package:  # Skip empty lines
+    for package in required_packages:
+        if not package:  # Skip empty lines
             continue
-        pkg = pkg_resources.Requirement.parse(required_package)
-        if (
-            pkg.key not in installed_packages
-            or pkg_resources.parse_version(installed_packages[pkg.key])
-            not in pkg.specifier
-        ):
-            missing_packages.append(str(pkg))
+        package_name = re.split("[<>=@ ]+", package.strip())[0]
+        if package_name.lower() not in installed_packages:
+            missing_packages.append(package_name)
 
     if missing_packages:
         print("Missing packages:")

tests/conftest.py

@@ -1,4 +1,3 @@
-import os
 from pathlib import Path
 
 import pytest
@@ -10,8 +9,6 @@ from autogpt.workspace import Workspace
 
 pytest_plugins = ["tests.integration.agent_factory"]
 
-PROXY = os.environ.get("PROXY")
-
 
 @pytest.fixture()
 def workspace_root(tmp_path: Path) -> Path:

tests/integration/agent_factory.py

@@ -45,7 +45,6 @@ def browser_agent(agent_test_config, memory_none: NoMemory, workspace: Workspace
     command_registry.import_commands("autogpt.commands.file_operations")
     command_registry.import_commands("autogpt.commands.web_selenium")
     command_registry.import_commands("autogpt.app")
-    command_registry.import_commands("autogpt.commands.task_statuses")
 
     ai_config = AIConfig(
         ai_name="browse_website-GPT",
@@ -81,7 +80,6 @@ def writer_agent(agent_test_config, memory_none: NoMemory, workspace: Workspace)
     command_registry = CommandRegistry()
     command_registry.import_commands("autogpt.commands.file_operations")
     command_registry.import_commands("autogpt.app")
-    command_registry.import_commands("autogpt.commands.task_statuses")
 
     ai_config = AIConfig(
         ai_name="write_to_file-GPT",
@@ -122,7 +120,6 @@ def memory_management_agent(
     command_registry = CommandRegistry()
     command_registry.import_commands("autogpt.commands.file_operations")
     command_registry.import_commands("autogpt.app")
-    command_registry.import_commands("autogpt.commands.task_statuses")
 
     ai_config = AIConfig(
         ai_name="Follow-Instructions-GPT",
@@ -149,70 +146,3 @@ def memory_management_agent(
     )
 
     return agent
-
-
-@pytest.fixture
-def get_company_revenue_agent(
-    agent_test_config, memory_local_cache, workspace: Workspace
-):
-    command_registry = CommandRegistry()
-    command_registry.import_commands("autogpt.commands.file_operations")
-    command_registry.import_commands("autogpt.app")
-
-    ai_config = AIConfig(
-        ai_name="Get-CompanyRevenue",
-        ai_role="an autonomous agent that specializes in finding the reported revenue of a company.",
-        ai_goals=[
-            "Write the revenue of Tesla in 2022 to a file. You should write the number without commas and you should not use signs like B for billion and M for million.",
-        ],
-    )
-    ai_config.command_registry = command_registry
-
-    system_prompt = ai_config.construct_full_prompt()
-    Config().set_continuous_mode(False)
-    agent = Agent(
-        ai_name="Get-CompanyRevenue",
-        memory=memory_local_cache,
-        full_message_history=[],
-        command_registry=command_registry,
-        config=ai_config,
-        next_action_count=0,
-        system_prompt=system_prompt,
-        triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
-        workspace_directory=workspace.root,
-    )
-
-    return agent
-
-
-@pytest.fixture
-def kubernetes_agent(memory_local_cache, workspace: Workspace):
-    command_registry = CommandRegistry()
-    command_registry.import_commands("autogpt.commands.file_operations")
-    command_registry.import_commands("autogpt.app")
-
-    ai_config = AIConfig(
-        ai_name="Kubernetes",
-        ai_role="an autonomous agent that specializes in creating Kubernetes deployment templates.",
-        ai_goals=[
-            "Write a simple kubernetes deployment file and save it as a kube.yaml.",
-            # You should make a simple nginx web server that uses docker and exposes the port 80.
-        ],
-    )
-    ai_config.command_registry = command_registry
-
-    system_prompt = ai_config.construct_full_prompt()
-    Config().set_continuous_mode(False)
-    agent = Agent(
-        ai_name="Kubernetes-Demo",
-        memory=memory_local_cache,
-        full_message_history=[],
-        command_registry=command_registry,
-        config=ai_config,
-        next_action_count=0,
-        system_prompt=system_prompt,
-        triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
-        workspace_directory=workspace.root,
-    )
-
-    return agent

tests/integration/cassettes/test_llm_utils/test_get_ada_embedding.yaml

@@ -1,168 +0,0 @@
-interactions:
-- request:
-    body: '{"input": [[1985]], "model": "text-embedding-ada-002", "encoding_format":
-      "base64"}'
-    headers:
-      Accept:
-      - '*/*'
-      Accept-Encoding:
-      - gzip, deflate
-      Connection:
-      - keep-alive
-      Content-Length:
-      - '83'
-      Content-Type:
-      - application/json
-    method: POST
-    uri: https://api.openai.com/v1/embeddings
-  response:
-    body:
-      string: !!binary |
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tests/integration/cassettes/test_local_cache/test_get_relevant.yaml

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tests/integration/cassettes/test_setup/test_generate_aiconfig_automatic_default.yaml

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tests/integration/cassettes/test_setup/test_generate_aiconfig_automatic_fallback.yaml

@@ -19,7 +19,7 @@ interactions:
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       on track.\n"}, {"role": "user", "content": "Task: ''T&GF\u00a3OIBECC()!*''\nRespond
       only with the output in the exact format specified in the system prompt, with
-      no explanation or conversation.\n"}], "temperature": 0.0, "max_tokens": 0}'
+      no explanation or conversation.\n"}], "temperature": 0.0, "max_tokens": null}'
     headers:
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@@ -84,95 +84,4 @@ interactions:
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       message: OK
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tests/integration/cassettes/test_setup/test_generate_aiconfig_automatic_typical.yaml

@@ -20,7 +20,7 @@ interactions:
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       about cybernetic giraffes''\nRespond only with the output in the exact format
       specified in the system prompt, with no explanation or conversation.\n"}], "temperature":
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+      0.0, "max_tokens": null}'
     headers:
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@@ -94,104 +94,4 @@ interactions:
     status:
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       message: OK
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-      marketer AI that assists Solopreneurs in growing their businesses by providing
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-      agencies, and more.\nGoals:\n- Engage in effective problem-solving, prioritization,
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tests/integration/challenges/information_retrieval/test_information_retrieval_challenge_a.py

@@ -1,46 +0,0 @@
-import contextlib
-from functools import wraps
-from typing import Generator
-
-import pytest
-
-from autogpt.commands.file_operations import read_file, write_to_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.integration.challenges.utils import run_multiple_times
-from tests.utils import requires_api_key
-
-
-def input_generator(input_sequence: list) -> Generator[str, None, None]:
-    """
-    Creates a generator that yields input strings from the given sequence.
-
-    :param input_sequence: A list of input strings.
-    :return: A generator that yields input strings.
-    """
-    yield from input_sequence
-
-
-# @pytest.skip("Nobody beat this challenge yet")
-@pytest.mark.skip("This challenge hasn't been beaten yet.")
-@pytest.mark.vcr
-@requires_api_key("OPENAI_API_KEY")
-@run_multiple_times(3)
-def test_information_retrieval_challenge_a(
-    get_company_revenue_agent, monkeypatch, patched_api_requestor
-) -> None:
-    """
-    Test the challenge_a function in a given agent by mocking user inputs and checking the output file content.
-
-    :param get_company_revenue_agent: The agent to test.
-    :param monkeypatch: pytest's monkeypatch utility for modifying builtins.
-    """
-    input_sequence = ["s", "s", "s", "s", "s", "EXIT"]
-    gen = input_generator(input_sequence)
-    monkeypatch.setattr("builtins.input", lambda _: next(gen))
-
-    with contextlib.suppress(SystemExit):
-        run_interaction_loop(get_company_revenue_agent, None)
-
-    file_path = str(get_company_revenue_agent.workspace.get_path("output.txt"))
-    content = read_file(file_path)
-    assert "81" in content, "Expected the file to contain 81"

tests/integration/challenges/kubernetes/test_kubernetes_template_challenge_a.py

@@ -1,50 +0,0 @@
-import contextlib
-from typing import Generator
-
-import pytest
-import yaml
-
-from autogpt.commands.file_operations import read_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.integration.challenges.utils import run_multiple_times
-from tests.utils import requires_api_key
-
-
-def input_generator(input_sequence: list) -> Generator[str, None, None]:
-    """
-    Creates a generator that yields input strings from the given sequence.
-
-    :param input_sequence: A list of input strings.
-    :return: A generator that yields input strings.
-    """
-    yield from input_sequence
-
-
-@pytest.mark.skip("This challenge hasn't been beaten yet.")
-@pytest.mark.vcr
-@requires_api_key("OPENAI_API_KEY")
-@run_multiple_times(3)
-def test_information_retrieval_challenge_a(kubernetes_agent, monkeypatch) -> None:
-    """
-    Test the challenge_a function in a given agent by mocking user inputs
-    and checking the output file content.
-
-    :param get_company_revenue_agent: The agent to test.
-    :param monkeypatch: pytest's monkeypatch utility for modifying builtins.
-    """
-    input_sequence = ["s", "s", "s", "s", "s", "EXIT"]
-    gen = input_generator(input_sequence)
-    monkeypatch.setattr("builtins.input", lambda _: next(gen))
-
-    with contextlib.suppress(SystemExit):
-        run_interaction_loop(kubernetes_agent, None)
-
-    file_path = str(kubernetes_agent.workspace.get_path("kube.yaml"))
-    content = read_file(file_path)
-
-    for word in ["apiVersion", "kind", "metadata", "spec"]:
-        assert word in content, f"Expected the file to contain {word}"
-
-    content = yaml.safe_load(content)
-    for word in ["Service", "Deployment", "Pod"]:
-        assert word in content["kind"], f"Expected the file to contain {word}"

tests/integration/challenges/memory/cassettes/test_memory_challenge_b/test_memory_challenge_b.yaml

@@ -13,15 +13,15 @@ interactions:
       help you remember.\n3. No user assistance\n4. Exclusively use the commands listed
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       to file, args: \"filename\": \"<filename>\", \"text\": \"<text>\"\n2. delete_file:
-      Delete file, args: \"filename\": \"<filename>\"\n3. list_files: List Files in
-      Directory, args: \"directory\": \"<directory>\"\n4. read_file: Read file, args:
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-      \"<filename>\", \"text\": \"<text>\"\n6. delete_agent: Delete GPT Agent, args:
-      \"key\": \"<key>\"\n7. get_hyperlinks: Get text summary, args: \"url\": \"<url>\"\n8.
-      get_text_summary: Get text summary, args: \"url\": \"<url>\", \"question\":
-      \"<question>\"\n9. list_agents: List GPT Agents, args: () -> str\n10. message_agent:
-      Message GPT Agent, args: \"key\": \"<key>\", \"message\": \"<message>\"\n11.
-      start_agent: Start GPT Agent, args: \"name\": \"<name>\", \"task\": \"<short_task_desc>\",
+      Delete file, args: \"filename\": \"<filename>\"\n3. read_file: Read file, args:
+      \"filename\": \"<filename>\"\n4. search_files: Search Files, args: \"directory\":
+      \"<directory>\"\n5. write_to_file: Write to file, args: \"filename\": \"<filename>\",
+      \"text\": \"<text>\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"<key>\"\n7.
+      get_hyperlinks: Get text summary, args: \"url\": \"<url>\"\n8. get_text_summary:
+      Get text summary, args: \"url\": \"<url>\", \"question\": \"<question>\"\n9.
+      list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT
+      Agent, args: \"key\": \"<key>\", \"message\": \"<message>\"\n11. start_agent:
+      Start GPT Agent, args: \"name\": \"<name>\", \"task\": \"<short_task_desc>\",
       \"prompt\": \"<prompt>\"\n12. Task Complete (Shutdown): \"task_complete\", args:
       \"reason\": \"<reason>\"\n\nResources:\n1. Internet access for searches and
       information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered
@@ -38,9 +38,9 @@ interactions:
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-      time and date is Tue Jan  1 00:00:00 2000"}, {"role": "user", "content": "Determine
+      time and date is Tue Jan 01 00:00:00 2000"}, {"role": "user", "content": "Determine
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-      "temperature": 0, "max_tokens": 0}'
+      "temperature": 0, "max_tokens": 2766}'
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+      ''you'', ''content'': ''{\"command\": {\"name\": \"read_file\", \"args\": {\"filename\":
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+      current task_id is 1111.\\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\\nRead
+      the file instructions_2.txt using the read_file command.''}]\n\"\"\"\n"}], "temperature":
+      0, "max_tokens": null}'
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@@ -383,7 +387,7 @@ interactions:
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       x-ratelimit-remaining-requests:
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+      - '89275'
       x-ratelimit-reset-requests:
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       x-ratelimit-reset-tokens:
-      - 126ms
+      - 483ms
       x-request-id:
-      - f380f448665f51bf6d579a54e3c22f8a
+      - 75d0c0f3853f72f74e3fc8b8ef377b60
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       message: OK
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       help you remember.\n3. No user assistance\n4. Exclusively use the commands listed
       in double quotes e.g. \"command name\"\n\nCommands:\n1. append_to_file: Append
       to file, args: \"filename\": \"<filename>\", \"text\": \"<text>\"\n2. delete_file:
-      Delete file, args: \"filename\": \"<filename>\"\n3. list_files: List Files in
-      Directory, args: \"directory\": \"<directory>\"\n4. read_file: Read file, args:
-      \"filename\": \"<filename>\"\n5. write_to_file: Write to file, args: \"filename\":
-      \"<filename>\", \"text\": \"<text>\"\n6. delete_agent: Delete GPT Agent, args:
-      \"key\": \"<key>\"\n7. get_hyperlinks: Get text summary, args: \"url\": \"<url>\"\n8.
-      get_text_summary: Get text summary, args: \"url\": \"<url>\", \"question\":
-      \"<question>\"\n9. list_agents: List GPT Agents, args: () -> str\n10. message_agent:
-      Message GPT Agent, args: \"key\": \"<key>\", \"message\": \"<message>\"\n11.
-      start_agent: Start GPT Agent, args: \"name\": \"<name>\", \"task\": \"<short_task_desc>\",
+      Delete file, args: \"filename\": \"<filename>\"\n3. read_file: Read file, args:
+      \"filename\": \"<filename>\"\n4. search_files: Search Files, args: \"directory\":
+      \"<directory>\"\n5. write_to_file: Write to file, args: \"filename\": \"<filename>\",
+      \"text\": \"<text>\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"<key>\"\n7.
+      get_hyperlinks: Get text summary, args: \"url\": \"<url>\"\n8. get_text_summary:
+      Get text summary, args: \"url\": \"<url>\", \"question\": \"<question>\"\n9.
+      list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT
+      Agent, args: \"key\": \"<key>\", \"message\": \"<message>\"\n11. start_agent:
+      Start GPT Agent, args: \"name\": \"<name>\", \"task\": \"<short_task_desc>\",
       \"prompt\": \"<prompt>\"\n12. Task Complete (Shutdown): \"task_complete\", args:
       \"reason\": \"<reason>\"\n\nResources:\n1. Internet access for searches and
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-      time and date is Tue Jan  1 00:00:00 2000"}, {"role": "system", "content": "This
-      reminds you of these events from your past: \nI was reminded of events from
-      my past where I was created and nothing new has happened. I received a command
-      to read a file called \"instructions_1.txt\"."}, {"role": "system", "content":
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-      "content": "Determine which next command to use, and respond using the format
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-      \"The instructions_2.txt file contains a list of files in the directory. I should
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-      which next command to use, and respond using the format specified above:"}],
-      "temperature": 0, "max_tokens": 0}'
+      time and date is Tue Jan 01 00:00:00 2000"}, {"role": "system", "content": "This
+      reminds you of these events from your past: \nAs a system, I was created and
+      nothing new has happened. However, as per your command, your computer has returned
+      the contents of a file named \"instructions_1.txt\" and the current task_id
+      is 1111. Additionally, you have instructed your computer to read the file \"instructions_2.txt\"
+      using the read_file command."}, {"role": "user", "content": "Determine which
+      next command to use, and respond using the format specified above:"}, {"role":
+      "assistant", "content": "{\n    \"thoughts\": {\n        \"text\": \"The instructions_2.txt
+      file contains a list of tasks that need to be performed. I should analyze the
+      tasks and determine the next steps.\",\n        \"reasoning\": \"The instructions_2.txt
+      file contains a list of tasks that need to be performed. I need to analyze the
+      tasks and determine the next steps.\",\n        \"plan\": \"- Use the read_file
+      command to read the instructions_2.txt file\\n- Analyze the tasks and determine
+      the next steps\",\n        \"criticism\": \"I need to ensure that I understand
+      the tasks completely before proceeding with any tasks.\",\n        \"speak\":
+      \"I will read the instructions_2.txt file and analyze the tasks.\"\n    },\n    \"command\":
+      {\n        \"name\": \"read_file\",\n        \"args\": {\n            \"filename\":
+      \"instructions_2.txt\"\n        }\n    }\n}"}, {"role": "system", "content":
+      "Command read_file returned: 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\nThis
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+      all the task_ids into the file output.txt. The file has not been created yet.
+      After that, use the task_complete command.\n"}, {"role": "user", "content":
+      "Determine which next command to use, and respond using the format specified
+      above:"}], "temperature": 0, "max_tokens": 1071}'
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tests/integration/challenges/memory/test_memory_challenge_a.py

@@ -13,7 +13,7 @@ MAX_LEVEL = 3
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
 def test_memory_challenge_a(
-    memory_management_agent: Agent, user_selected_level: int, patched_api_requestor
+    memory_management_agent: Agent, user_selected_level: int
 ) -> None:
     """
     The agent reads a file containing a task_id. Then, it reads a series of other files.
@@ -30,7 +30,7 @@ def test_memory_challenge_a(
     create_instructions_files(memory_management_agent, num_files, task_id)
 
     try:
-        run_interaction_loop(memory_management_agent, 400)
+        run_interaction_loop(memory_management_agent, 180)
     # catch system exit exceptions
     except SystemExit:
         file_path = str(memory_management_agent.workspace.get_path("output.txt"))

tests/integration/challenges/memory/test_memory_challenge_b.py

@@ -6,7 +6,7 @@ from tests.integration.agent_utils import run_interaction_loop
 from tests.integration.challenges.utils import generate_noise, get_level_to_run
 from tests.utils import requires_api_key
 
-LEVEL_CURRENTLY_BEATEN = None
+LEVEL_CURRENTLY_BEATEN = 2
 MAX_LEVEL = 5
 NOISE = 1000
 
@@ -14,7 +14,7 @@ NOISE = 1000
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
 def test_memory_challenge_b(
-    memory_management_agent: Agent, user_selected_level: int, patched_api_requestor
+    memory_management_agent: Agent, user_selected_level: int
 ) -> None:
     """
     The agent reads a series of files, each containing a task_id and noise. After reading 'n' files,
@@ -24,6 +24,7 @@ def test_memory_challenge_b(
         memory_management_agent (Agent)
         user_selected_level (int)
     """
+
     current_level = get_level_to_run(
         user_selected_level, LEVEL_CURRENTLY_BEATEN, MAX_LEVEL
     )
@@ -31,7 +32,7 @@ def test_memory_challenge_b(
     create_instructions_files(memory_management_agent, current_level, task_ids)
 
     try:
-        run_interaction_loop(memory_management_agent, 60)
+        run_interaction_loop(memory_management_agent, 40)
     except SystemExit:
         file_path = str(memory_management_agent.workspace.get_path("output.txt"))
         content = read_file(file_path)

tests/integration/challenges/memory/test_memory_challenge_c.py

@@ -1,98 +0,0 @@
-import pytest
-
-from autogpt.agent import Agent
-from autogpt.commands.file_operations import read_file, write_to_file
-from tests.integration.agent_utils import run_interaction_loop
-from tests.integration.challenges.utils import generate_noise, get_level_to_run
-from tests.utils import requires_api_key
-
-LEVEL_CURRENTLY_BEATEN = None
-MAX_LEVEL = 5
-NOISE = 1000
-
-
-@pytest.mark.vcr
-@requires_api_key("OPENAI_API_KEY")
-def test_memory_challenge_c(
-    memory_management_agent: Agent, user_selected_level: int, patched_api_requestor
-) -> None:
-    """
-    Instead of reading task Ids from files as with the previous challenges, the agent now must remember
-    phrases which may have semantically similar meaning and the agent must write the phrases to a file
-    after seeing several of them.
-
-    Args:
-        memory_management_agent (Agent)
-        user_selected_level (int)
-    """
-    current_level = get_level_to_run(
-        user_selected_level, LEVEL_CURRENTLY_BEATEN, MAX_LEVEL
-    )
-    silly_phrases = [
-        "The purple elephant danced on a rainbow while eating a taco.",
-        "The sneaky toaster stole my socks and ran away to Hawaii.",
-        "My pet rock sings better than Beyoncé on Tuesdays.",
-        "The giant hamster rode a unicycle through the crowded mall.",
-        "The talking tree gave me a high-five and then flew away.",
-        "I have a collection of invisible hats that I wear on special occasions.",
-        "The flying spaghetti monster stole my sandwich and left a note saying 'thanks for the snack!'",
-        "My imaginary friend is a dragon who loves to play video games.",
-        "I once saw a cloud shaped like a giant chicken eating a pizza.",
-        "The ninja unicorn disguised itself as a potted plant and infiltrated the office.",
-    ]
-
-    level_silly_phrases = silly_phrases[:current_level]
-    create_instructions_files(
-        memory_management_agent, current_level, level_silly_phrases
-    )
-
-    try:
-        run_interaction_loop(memory_management_agent, 90)
-    except SystemExit:
-        file_path = str(memory_management_agent.workspace.get_path("output.txt"))
-        content = read_file(file_path)
-        for phrase in level_silly_phrases:
-            assert phrase in content, f"Expected the file to contain {phrase}"
-
-
-def create_instructions_files(
-    memory_management_agent: Agent,
-    level: int,
-    task_ids: list,
-    base_filename: str = "instructions_",
-) -> None:
-    """
-    Creates a series of instructions files for the memory challenge.
-    Args:
-        level:
-        memory_management_agent (Agent)
-        num_files (int)
-        task_ids (list)
-        base_filename (str, optional)
-    """
-    for i in range(1, level + 1):
-        content = generate_content(i, task_ids, base_filename, level)
-        file_name = f"{base_filename}{i}.txt"
-        file_path = str(memory_management_agent.workspace.get_path(file_name))
-        write_to_file(file_path, content)
-
-
-def generate_content(
-    index: int, silly_phrases: list, base_filename: str, level: int
-) -> str:
-    """
-    Args:
-        index: int
-        task_ids: list
-        base_filename: str
-        num_files: int
-
-    Returns: str
-    """
-    phrase = silly_phrases[index - 1]
-    noise = generate_noise(NOISE)
-    if index != level:
-        if level == 1:
-            return f"{noise}\nThe current phrase to remember is '{phrase}'.\n{noise}\nWrite all the phrases into the file output.txt. The file has not been created yet. After that, use the task_complete command."
-        return f"{noise}\nThe current phrase is '{phrase}'.\n{noise}\nRead the file {base_filename}{index + 1}.txt using the read_file command."
-    return f"{noise}\nThis phrase is '{phrase}'\n{noise}\nWrite all the phrases into the file output.txt. The file has not been created yet. After that, use the task_complete command.\n"

tests/integration/challenges/utils.py

@@ -1,5 +1,4 @@
 import random
-from functools import wraps
 from typing import Optional
 
 import pytest
@@ -43,21 +42,3 @@ def generate_noise(noise_size) -> str:
             k=noise_size,
         )
     )
-
-
-def run_multiple_times(times):
-    """
-    Decorator that runs a test function multiple times.
-
-    :param times: The number of times the test function should be executed.
-    """
-
-    def decorator(test_func):
-        @wraps(test_func)
-        def wrapper(*args, **kwargs):
-            for _ in range(times):
-                test_func(*args, **kwargs)
-
-        return wrapper
-
-    return decorator

tests/integration/conftest.py

@@ -1,10 +1,6 @@
-import os
-
-import openai
 import pytest
 
-from tests.conftest import PROXY
-from tests.vcr.vcr_filter import before_record_request, before_record_response
+from tests.vcr.openai_filter import before_record_request, before_record_response
 
 
 @pytest.fixture(scope="session")
@@ -19,37 +15,4 @@ def vcr_config():
             "X-OpenAI-Client-User-Agent",
             "User-Agent",
         ],
-        "match_on": ["method", "body"],
     }
-
-
-def patch_api_base(requestor):
-    new_api_base = f"{PROXY}/v1"
-    requestor.api_base = new_api_base
-    return requestor
-
-
-@pytest.fixture
-def patched_api_requestor(mocker):
-    original_init = openai.api_requestor.APIRequestor.__init__
-    original_validate_headers = openai.api_requestor.APIRequestor._validate_headers
-
-    def patched_init(requestor, *args, **kwargs):
-        original_init(requestor, *args, **kwargs)
-        patch_api_base(requestor)
-
-    def patched_validate_headers(self, supplied_headers):
-        headers = original_validate_headers(self, supplied_headers)
-        headers["AGENT-MODE"] = os.environ.get("AGENT_MODE")
-        headers["AGENT-TYPE"] = os.environ.get("AGENT_TYPE")
-        return headers
-
-    if PROXY:
-        mocker.patch("openai.api_requestor.APIRequestor.__init__", new=patched_init)
-        mocker.patch.object(
-            openai.api_requestor.APIRequestor,
-            "_validate_headers",
-            new=patched_validate_headers,
-        )
-
-    return mocker

tests/integration/goal_oriented/cassettes/test_browse_website/test_browse_website.yaml

@@ -18,18 +18,18 @@ interactions:
       events will help you remember.\n3. No user assistance\n4. Exclusively use the
       commands listed in double quotes e.g. \"command name\"\n\nCommands:\n1. append_to_file:
       Append to file, args: \"filename\": \"<filename>\", \"text\": \"<text>\"\n2.
-      delete_file: Delete file, args: \"filename\": \"<filename>\"\n3. list_files:
-      List Files in Directory, args: \"directory\": \"<directory>\"\n4. read_file:
-      Read file, args: \"filename\": \"<filename>\"\n5. write_to_file: Write to file,
-      args: \"filename\": \"<filename>\", \"text\": \"<text>\"\n6. browse_website:
-      Browse Website, args: \"url\": \"<url>\", \"question\": \"<what_you_want_to_find_on_website>\"\n7.
+      delete_file: Delete file, args: \"filename\": \"<filename>\"\n3. read_file:
+      Read file, args: \"filename\": \"<filename>\"\n4. search_files: Search Files,
+      args: \"directory\": \"<directory>\"\n5. write_to_file: Write to file, args:
+      \"filename\": \"<filename>\", \"text\": \"<text>\"\n6. browse_website: Browse
+      Website, args: \"url\": \"<url>\", \"question\": \"<what_you_want_to_find_on_website>\"\n7.
       delete_agent: Delete GPT Agent, args: \"key\": \"<key>\"\n8. get_hyperlinks:
       Get text summary, args: \"url\": \"<url>\"\n9. get_text_summary: Get text summary,
       args: \"url\": \"<url>\", \"question\": \"<question>\"\n10. list_agents: List
       GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\":
       \"<key>\", \"message\": \"<message>\"\n12. start_agent: Start GPT Agent, args:
       \"name\": \"<name>\", \"task\": \"<short_task_desc>\", \"prompt\": \"<prompt>\"\n13.
-      task_complete: Task Complete (Shutdown), args: \"reason\": \"<reason>\"\n\nResources:\n1.
+      Task Complete (Shutdown): \"task_complete\", args: \"reason\": \"<reason>\"\n\nResources:\n1.
       Internet access for searches and information gathering.\n2. Long Term memory
       management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File
       output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your
@@ -44,9 +44,9 @@ interactions:
       \"thoughts summary to say to user\"\n    },\n    \"command\": {\n        \"name\":
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       \nEnsure the response can be parsed by Python json.loads"}, {"role": "system",
-      "content": "The current time and date is Tue Jan  1 00:00:00 2000"}, {"role":
+      "content": "The current time and date is Tue Jan 01 00:00:00 2000"}, {"role":
       "user", "content": "Determine which next command to use, and respond using the
-      format specified above:"}], "temperature": 0, "max_tokens": 0}'
+      format specified above:"}], "temperature": 0, "max_tokens": 2650}'
     headers:
       Accept:
       - '*/*'
@@ -55,7 +55,7 @@ interactions:
       Connection:
       - keep-alive
       Content-Length:
-      - '3782'
+      - '3777'
       Content-Type:
       - application/json
     method: POST
@@ -63,22 +63,22 @@ interactions:
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     body:
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       Connection:
@@ -88,7 +88,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Thu, 04 May 2023 21:44:20 GMT
+      - Sun, 30 Apr 2023 08:09:04 GMT
       Server:
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       access-control-allow-origin:
@@ -98,9 +98,9 @@ interactions:
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       - gpt-3.5-turbo-0301
       openai-organization:
-      - user-cbwy2y25pylufhkfs0la9nqe
+      - user-adtx4fhfg1qsiyzdoaxciooj
       openai-processing-ms:
-      - '13677'
+      - '13620'
       openai-version:
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       x-ratelimit-reset-tokens:
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       x-request-id:
-      - f087e73375928e99eea43f7daf78c450
+      - 6ab74012054dda255680e3e4da7d724b
     status:
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       message: OK
@@ -152,7 +152,7 @@ interactions:
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       \"What is the price of the book?\" -- if the question cannot be answered using
-      the text, summarize the text."}], "temperature": 0, "max_tokens": 0}'
+      the text, summarize the text."}], "temperature": 0, "max_tokens": null}'
     headers:
       Accept:
       - '*/*'
@@ -169,17 +169,16 @@ interactions:
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       Date:
-      - Thu, 04 May 2023 21:44:27 GMT
+      - Sun, 30 Apr 2023 08:09:12 GMT
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       - gpt-3.5-turbo-0301
       openai-organization:
-      - user-cbwy2y25pylufhkfs0la9nqe
+      - user-adtx4fhfg1qsiyzdoaxciooj
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+      - '1472'
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       x-request-id:
-      - eed7defd0a7c4dea6073247d0781f272
+      - f40352b97c4c4547530fa7786b4ede37
     status:
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       message: OK
 - request:
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-      price of the book \"Meditations\" is \u00a325.89, according to the text.\"\"\"
-      Using the above text, answer the following question: \"What is the price of
-      the book?\" -- if the question cannot be answered using the text, summarize
-      the text."}], "temperature": 0, "max_tokens": 0}'
+      price of the book \"Meditations\" is \u00a325.89.\"\"\" Using the above text,
+      answer the following question: \"What is the price of the book?\" -- if the
+      question cannot be answered using the text, summarize the text."}], "temperature":
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     headers:
       Accept:
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@@ -237,7 +236,7 @@ interactions:
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-      - '361'
+      - '338'
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       Connection:
@@ -265,7 +263,7 @@ interactions:
       Content-Type:
       - application/json
       Date:
-      - Thu, 04 May 2023 21:44:29 GMT
+      - Sun, 30 Apr 2023 08:09:13 GMT
       Server:
       - cloudflare
       access-control-allow-origin:
@@ -275,9 +273,9 @@ interactions:
       openai-model:
       - gpt-3.5-turbo-0301
       openai-organization:
-      - user-cbwy2y25pylufhkfs0la9nqe
+      - user-adtx4fhfg1qsiyzdoaxciooj
       openai-processing-ms:
-      - '1434'
+      - '1372'
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@@ -289,13 +287,13 @@ interactions:
       x-ratelimit-remaining-requests:
       - '3499'
       x-ratelimit-remaining-tokens:
-      - '89923'
+      - '89929'
       x-ratelimit-reset-requests:
       - 17ms
       x-ratelimit-reset-tokens:
-      - 50ms
+      - 47ms
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-      - 5fcc4683dce0ec6fdb70e8921ec529a9
+      - 80012336eac7da800f35e4e1dc53be35
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       message: OK
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       task is to create a concise running summary of actions and information results
       in the provided text, focusing on key and potentially important information
-      to remember.\n\nYou will receive the current summary and the your latest actions.
+      to remember.\n\n\nYou will receive the current summary and the latest development.
       Combine them, adding relevant key information from the latest development in
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-      "temperature": 0, "max_tokens": 0}'
+      "temperature": 0, "max_tokens": null}'
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@@ -316,7 +314,7 @@ interactions:
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+      - '600'
       Content-Type:
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@@ -343,7 +341,7 @@ interactions:
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+      - Sun, 30 Apr 2023 08:09:15 GMT
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       openai-organization:
-      - user-cbwy2y25pylufhkfs0la9nqe
+      - user-adtx4fhfg1qsiyzdoaxciooj
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+      - '928'
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       x-ratelimit-reset-tokens:
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       x-request-id:
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+      - bdf544a1c9ea2ee0bb022ee726a80ed4
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       message: OK
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-      Browse Website, args: \"url\": \"<url>\", \"question\": \"<what_you_want_to_find_on_website>\"\n7.
+      delete_file: Delete file, args: \"filename\": \"<filename>\"\n3. read_file:
+      Read file, args: \"filename\": \"<filename>\"\n4. search_files: Search Files,
+      args: \"directory\": \"<directory>\"\n5. write_to_file: Write to file, args:
+      \"filename\": \"<filename>\", \"text\": \"<text>\"\n6. browse_website: Browse
+      Website, args: \"url\": \"<url>\", \"question\": \"<what_you_want_to_find_on_website>\"\n7.
       delete_agent: Delete GPT Agent, args: \"key\": \"<key>\"\n8. get_hyperlinks:
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-      task_complete: Task Complete (Shutdown), args: \"reason\": \"<reason>\"\n\nResources:\n1.
+      Task Complete (Shutdown): \"task_complete\", args: \"reason\": \"<reason>\"\n\nResources:\n1.
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-      "content": "The current time and date is Tue Jan  1 00:00:00 2000"}, {"role":
+      "content": "The current time and date is Tue Jan 01 00:00:00 2000"}, {"role":
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       created and nothing new has happened."}, {"role": "user", "content": "Determine
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-      to complete the task\",\n        \"criticism\": \"I need to be careful when
-      inspecting the HTML code to ensure I find the correct price.\",\n        \"speak\":
+      \"I will use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html
+      and find the price of the book.\",\n        \"reasoning\": \"The task requires
+      me to visit a website and find the price of a book. The browse_website command
+      is the best option for this task.\",\n        \"plan\": \"- Use the browse_website
+      command to visit the website\\n- Find the price of the book\\n- Write the price
+      to a file named ''browse_website.txt''\\n- Use the task_complete command to
+      complete the task\",\n        \"criticism\": \"I need to ensure that I am accurately
+      finding the price of the book and writing it to the correct file.\",\n        \"speak\":
       \"I will use the browse_website command to visit the website and find the price
       of the book.\"\n    },\n    \"command\": {\n        \"name\": \"browse_website\",\n        \"args\":
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-      "content": "Command browse_website returned: Answer gathered from website: The
-      price of the book \"Meditations\" is \u00a325.89, according to the text. \n
-      \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home
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-      ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'',
-      '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"},
+      "content": "Command browse_website returned: (''Answer gathered from website:
+      The price of the book \"Meditations\" is \u00a325.89. \\n \\n Links: [\\''Books
+      to Scrape (http://books.toscrape.com/index.html)\\'', \\''Home (http://books.toscrape.com/index.html)\\'',
+      \\''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)\\'',
+      \\''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)\\'',
+      \\'' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)\\'']'',
+      <selenium.webdriver.chrome.webdriver.WebDriver (session=\"6091e0a34a95ed76d75b8c96aa8bb541\")>)"},
       {"role": "user", "content": "Determine which next command to use, and respond
-      using the format specified above:"}], "temperature": 0, "max_tokens": 0}'
+      using the format specified above:"}], "temperature": 0, "max_tokens": 2201}'
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       openai-organization:
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+      - user-adtx4fhfg1qsiyzdoaxciooj
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+      to remember.\n\n\nYou will receive the current summary and the latest development.
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-      Browse Website, args: \"url\": \"<url>\", \"question\": \"<what_you_want_to_find_on_website>\"\n7.
+      delete_file: Delete file, args: \"filename\": \"<filename>\"\n3. read_file:
+      Read file, args: \"filename\": \"<filename>\"\n4. search_files: Search Files,
+      args: \"directory\": \"<directory>\"\n5. write_to_file: Write to file, args:
+      \"filename\": \"<filename>\", \"text\": \"<text>\"\n6. browse_website: Browse
+      Website, args: \"url\": \"<url>\", \"question\": \"<what_you_want_to_find_on_website>\"\n7.
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-      "content": "The current time and date is Tue Jan  1 00:00:00 2000"}, {"role":
+      "content": "The current time and date is Tue Jan 01 00:00:00 2000"}, {"role":
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-      a system, I recall that I was created and there have been no new developments
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-      and respond using the format specified above:"}, {"role": "assistant", "content":
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-      to complete the task\",\n        \"criticism\": \"I need to be careful when
-      inspecting the HTML code to ensure I find the correct price.\",\n        \"speak\":
+      a system, I recall that nothing new has happened since my creation."}, {"role":
+      "user", "content": "Determine which next command to use, and respond using the
+      format specified above:"}, {"role": "assistant", "content": "{\n    \"thoughts\":
+      {\n        \"text\": \"I will use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html
+      and find the price of the book.\",\n        \"reasoning\": \"The task requires
+      me to visit a website and find the price of a book. The browse_website command
+      is the best option for this task.\",\n        \"plan\": \"- Use the browse_website
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+      to a file named ''browse_website.txt''\\n- Use the task_complete command to
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       of the book.\"\n    },\n    \"command\": {\n        \"name\": \"browse_website\",\n        \"args\":
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-      "content": "Command browse_website returned: Answer gathered from website: The
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-      \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home
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-      ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'',
-      '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"},
+      "content": "Command browse_website returned: (''Answer gathered from website:
+      The price of the book \"Meditations\" is \u00a325.89. \\n \\n Links: [\\''Books
+      to Scrape (http://books.toscrape.com/index.html)\\'', \\''Home (http://books.toscrape.com/index.html)\\'',
+      \\''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)\\'',
+      \\''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)\\'',
+      \\'' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)\\'']'',
+      <selenium.webdriver.chrome.webdriver.WebDriver (session=\"6091e0a34a95ed76d75b8c96aa8bb541\")>)"},
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-      "Determine which next command to use, and respond using the format specified
-      above:"}], "temperature": 0, "max_tokens": 0}'
+      {\n        \"text\": \"I will write the price of the book to a file named ''browse_website.txt''.\",\n        \"reasoning\":
+      \"The task requires me to write the price of the book to a file. The write_to_file
+      command is the best option for this task.\",\n        \"plan\": \"- Use the
+      write_to_file command to write the price of the book to a file named ''browse_website.txt''\\n-
+      Use the task_complete command to complete the task\",\n        \"criticism\":
+      \"I need to ensure that I am writing the correct information to the file and
+      that the file is being created in the correct location.\",\n        \"speak\":
+      \"I will use the write_to_file command to write the price of the book to a file
+      named ''browse_website.txt''.\"\n    },\n    \"command\": {\n        \"name\":
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+      \"The price of the book ''Meditations'' is \u00a325.89.\"\n        }\n    }\n}"},
+      {"role": "system", "content": "Command write_to_file returned: File written
+      to successfully."}, {"role": "user", "content": "Determine which next command
+      to use, and respond using the format specified above:"}], "temperature": 0,
+      "max_tokens": 1928}'
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+      and the write_to_file command is the most appropriate for this task.\",\n        \"plan\":
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-      - cloudflare
-      access-control-allow-origin:
-      - '*'
-      alt-svc:
-      - h3=":443"; ma=86400, h3-29=":443"; ma=86400
-      openai-model:
-      - gpt-3.5-turbo-0301
-      openai-organization:
-      - user-adtx4fhfg1qsiyzdoaxciooj
-      openai-processing-ms:
-      - '16269'
-      openai-version:
-      - '2020-10-01'
-      strict-transport-security:
-      - max-age=15724800; includeSubDomains
-      x-ratelimit-limit-requests:
-      - '3500'
-      x-ratelimit-limit-tokens:
-      - '90000'
-      x-ratelimit-remaining-requests:
-      - '3499'
-      x-ratelimit-remaining-tokens:
-      - '86496'
-      x-ratelimit-reset-requests:
-      - 17ms
-      x-ratelimit-reset-tokens:
-      - 2.336s
-      x-request-id:
-      - 8d3e6826e88e77fb2cbce01166ddc550
+      - f294799d2564196ef4852c84fdc8fb17
     status:
       code: 200
       message: OK

tests/integration/goal_oriented/goal_oriented_tasks.md

@@ -6,5 +6,5 @@ To know which one, you can run the following command:
 ```bash
 pytest -s -k tests/integration/goal_oriented
 
-If the test is successful, it will record new cassettes in VCR. Then you can just push these to your branch and the pipeline
+If the test is successul, it will record new cassettes in VCR. Then you can just push these to your branch and the pipeline
 will pass

tests/integration/goal_oriented/test_browse_website.py

@@ -8,10 +8,10 @@ from tests.utils import requires_api_key
 
 @requires_api_key("OPENAI_API_KEY")
 @pytest.mark.vcr
-def test_browse_website(browser_agent: Agent, patched_api_requestor) -> None:
+def test_browse_website(browser_agent: Agent) -> None:
     file_path = browser_agent.workspace.get_path("browse_website.txt")
     try:
-        run_interaction_loop(browser_agent, 120)
+        run_interaction_loop(browser_agent, 40)
     # catch system exit exceptions
     except SystemExit:  # the agent returns an exception when it shuts down
         content = read_file(file_path)

tests/integration/goal_oriented/test_write_file.py

@@ -1,6 +1,3 @@
-import os
-
-import openai
 import pytest
 
 from autogpt.agent import Agent
@@ -11,10 +8,10 @@ from tests.utils import requires_api_key
 
 @requires_api_key("OPENAI_API_KEY")
 @pytest.mark.vcr
-def test_write_file(writer_agent: Agent, patched_api_requestor) -> None:
+def test_write_file(writer_agent: Agent) -> None:
     file_path = str(writer_agent.workspace.get_path("hello_world.txt"))
     try:
-        run_interaction_loop(writer_agent, 200)
+        run_interaction_loop(writer_agent, 40)
     # catch system exit exceptions
     except SystemExit:  # the agent returns an exception when it shuts down
         content = read_file(file_path)

tests/integration/test_git_commands.py

@@ -1,42 +0,0 @@
-import pytest
-from git.exc import GitCommandError
-from git.repo.base import Repo
-
-from autogpt.commands.git_operations import clone_repository
-
-
-@pytest.fixture
-def mock_clone_from(mocker):
-    return mocker.patch.object(Repo, "clone_from")
-
-
-def test_clone_auto_gpt_repository(workspace, mock_clone_from, config):
-    mock_clone_from.return_value = None
-
-    repo = "github.com/Significant-Gravitas/Auto-GPT.git"
-    scheme = "https://"
-    url = scheme + repo
-    clone_path = str(workspace.get_path("auto-gpt-repo"))
-
-    expected_output = f"Cloned {url} to {clone_path}"
-
-    clone_result = clone_repository(url=url, clone_path=clone_path)
-
-    assert clone_result == expected_output
-    mock_clone_from.assert_called_once_with(
-        url=f"{scheme}{config.github_username}:{config.github_api_key}@{repo}",
-        to_path=clone_path,
-    )
-
-
-def test_clone_repository_error(workspace, mock_clone_from):
-    url = "https://github.com/this-repository/does-not-exist.git"
-    clone_path = str(workspace.get_path("does-not-exist"))
-
-    mock_clone_from.side_effect = GitCommandError(
-        "clone", "fatal: repository not found", ""
-    )
-
-    result = clone_repository(url=url, clone_path=clone_path)
-
-    assert "Error: " in result

tests/integration/test_llm_utils.py

@@ -1,14 +1,9 @@
 import string
-from unittest.mock import MagicMock
 
 import pytest
 from numpy.random import RandomState
-from pytest_mock import MockerFixture
 
-from autogpt.config import Config
-from autogpt.llm import llm_utils
-from autogpt.llm.api_manager import ApiManager
-from autogpt.llm.modelsinfo import COSTS
+from autogpt.llm.llm_utils import get_ada_embedding
 from tests.utils import requires_api_key
 
 
@@ -21,45 +16,10 @@ def random_large_string():
     return "".join(random.choice(list(string.ascii_lowercase), size=n_characters))
 
 
-@pytest.fixture()
-def api_manager(mocker: MockerFixture):
-    api_manager = ApiManager()
-    mocker.patch.multiple(
-        api_manager,
-        total_prompt_tokens=0,
-        total_completion_tokens=0,
-        total_cost=0,
-    )
-    yield api_manager
-
-
-@pytest.fixture()
-def spy_create_embedding(mocker: MockerFixture):
-    return mocker.spy(llm_utils, "create_embedding")
-
-
-@pytest.mark.vcr
-@requires_api_key("OPENAI_API_KEY")
-def test_get_ada_embedding(
-    config: Config,
-    api_manager: ApiManager,
-    spy_create_embedding: MagicMock,
-    patched_api_requestor,
-):
-    token_cost = COSTS[config.embedding_model]["prompt"]
-    llm_utils.get_ada_embedding("test")
-
-    spy_create_embedding.assert_called_once_with("test", model=config.embedding_model)
-
-    assert (prompt_tokens := api_manager.get_total_prompt_tokens()) == 1
-    assert api_manager.get_total_completion_tokens() == 0
-    assert api_manager.get_total_cost() == (prompt_tokens * token_cost) / 1000
-
-
-@pytest.mark.vcr
+@pytest.mark.xfail(reason="We have no mechanism for embedding large strings.")
 @requires_api_key("OPENAI_API_KEY")
 def test_get_ada_embedding_large_context(random_large_string):
     # This test should be able to mock the openai call after we have a fix.  We don't need
     # to hit the API to test the logic of the function (so not using vcr). This is a quick
     # regression test to document the issue.
-    llm_utils.get_ada_embedding(random_large_string)
+    get_ada_embedding(random_large_string)

tests/integration/test_local_cache.py

@@ -91,7 +91,7 @@ def test_get(LocalCache, config, mock_embed_with_ada):
 
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
-def test_get_relevant(LocalCache, config, patched_api_requestor) -> None:
+def test_get_relevant(LocalCache, config) -> None:
     cache = LocalCache(config)
     text1 = "Sample text 1"
     text2 = "Sample text 2"

tests/integration/test_memory_management.py

@@ -52,10 +52,7 @@ Human Feedback:Command Result: Important Information."""
 @requires_api_key("OPENAI_API_KEY")
 @pytest.mark.vcr
 def test_save_memory_trimmed_from_context_window(
-    message_history_fixture,
-    expected_permanent_memory,
-    config: Config,
-    patched_api_requestor,
+    message_history_fixture, expected_permanent_memory, config: Config
 ):
     next_message_to_add_index = len(message_history_fixture) - 1
     memory = get_memory(config, init=True)

tests/integration/test_setup.py

@@ -13,7 +13,7 @@ from tests.utils import requires_api_key
 
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
-def test_generate_aiconfig_automatic_default(patched_api_requestor):
+def test_generate_aiconfig_automatic_default():
     user_inputs = [""]
     with patch("builtins.input", side_effect=user_inputs):
         ai_config = prompt_user()
@@ -26,7 +26,7 @@ def test_generate_aiconfig_automatic_default(patched_api_requestor):
 
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
-def test_generate_aiconfig_automatic_typical(patched_api_requestor):
+def test_generate_aiconfig_automatic_typical():
     user_prompt = "Help me create a rock opera about cybernetic giraffes"
     ai_config = generate_aiconfig_automatic(user_prompt)
 
@@ -38,7 +38,7 @@ def test_generate_aiconfig_automatic_typical(patched_api_requestor):
 
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
-def test_generate_aiconfig_automatic_fallback(patched_api_requestor):
+def test_generate_aiconfig_automatic_fallback():
     user_inputs = [
         "T&GF£OIBECC()!*",
         "Chef-GPT",
@@ -59,7 +59,7 @@ def test_generate_aiconfig_automatic_fallback(patched_api_requestor):
 
 @pytest.mark.vcr
 @requires_api_key("OPENAI_API_KEY")
-def test_prompt_user_manual_mode(patched_api_requestor):
+def test_prompt_user_manual_mode():
     user_inputs = [
         "--manual",
         "Chef-GPT",

tests/milvus_memory_test.py

@@ -5,21 +5,22 @@ import sys
 import unittest
 
 try:
-    from autogpt.config import Config
     from autogpt.memory.milvus import MilvusMemory
 
-    def mock_config() -> Config:
+    def mock_config() -> dict:
         """Mock the config object for testing purposes."""
-
         # Return a mock config object with the required attributes
-        class MockConfig(Config):
-            debug_mode = False
-            continuous_mode = False
-            speak_mode = False
-            milvus_collection = "autogpt"
-            milvus_addr = "localhost:19530"
-
-        return MockConfig()
+        return type(
+            "MockConfig",
+            (object,),
+            {
+                "debug_mode": False,
+                "continuous_mode": False,
+                "speak_mode": False,
+                "milvus_collection": "autogpt",
+                "milvus_addr": "localhost:19530",
+            },
+        )
 
     class TestMilvusMemory(unittest.TestCase):
         """Tests for the MilvusMemory class."""

tests/test_api_manager.py

@@ -39,7 +39,6 @@ class TestApiManager:
 
         with patch("openai.ChatCompletion.create") as mock_create:
             mock_response = MagicMock()
-            del mock_response.error
             mock_response.usage.prompt_tokens = 10
             mock_response.usage.completion_tokens = 20
             mock_create.return_value = mock_response
@@ -56,7 +55,6 @@ class TestApiManager:
 
         with patch("openai.ChatCompletion.create") as mock_create:
             mock_response = MagicMock()
-            del mock_response.error
             mock_response.usage.prompt_tokens = 0
             mock_response.usage.completion_tokens = 0
             mock_create.return_value = mock_response
@@ -78,7 +76,6 @@ class TestApiManager:
 
         with patch("openai.ChatCompletion.create") as mock_create:
             mock_response = MagicMock()
-            del mock_response.error
             mock_response.usage.prompt_tokens = 10
             mock_response.usage.completion_tokens = 20
             mock_create.return_value = mock_response

tests/test_image_gen.py

@@ -19,7 +19,7 @@ def image_size(request):
     reason="The image is too big to be put in a cassette for a CI pipeline. We're looking into a solution."
 )
 @requires_api_key("OPENAI_API_KEY")
-def test_dalle(config, workspace, image_size, patched_api_requestor):
+def test_dalle(config, workspace, image_size):
     """Test DALL-E image generation."""
     generate_and_validate(
         config,
@@ -48,18 +48,18 @@ def test_huggingface(config, workspace, image_size, image_model):
     )
 
 
-@pytest.mark.skip(reason="External SD WebUI may not be available.")
+@pytest.mark.xfail(reason="SD WebUI call does not work.")
 def test_sd_webui(config, workspace, image_size):
     """Test SD WebUI image generation."""
     generate_and_validate(
         config,
         workspace,
-        image_provider="sdwebui",
+        image_provider="sd_webui",
         image_size=image_size,
     )
 
 
-@pytest.mark.skip(reason="External SD WebUI may not be available.")
+@pytest.mark.xfail(reason="SD WebUI call does not work.")
 def test_sd_webui_negative_prompt(config, workspace, image_size):
     gen_image = functools.partial(
         generate_image_with_sd_webui,
@@ -83,7 +83,7 @@ def test_sd_webui_negative_prompt(config, workspace, image_size):
 
 def lst(txt):
     """Extract the file path from the output of `generate_image()`"""
-    return Path(txt.split(":", maxsplit=1)[1].strip())
+    return Path(txt.split(":")[1].strip())
 
 
 def generate_and_validate(

tests/test_llm_utils.py

@@ -1,7 +1,8 @@
 import pytest
 from openai.error import APIError, RateLimitError
 
-from autogpt.llm import llm_utils
+from autogpt.llm import COSTS, get_ada_embedding
+from autogpt.llm.llm_utils import retry_openai_api
 
 
 @pytest.fixture(params=[RateLimitError, APIError])
@@ -12,12 +13,22 @@ def error(request):
         return request.param("Error")
 
 
+@pytest.fixture
+def mock_create_embedding(mocker):
+    mock_response = mocker.MagicMock()
+    mock_response.usage.prompt_tokens = 5
+    mock_response.__getitem__.side_effect = lambda key: [{"embedding": [0.1, 0.2, 0.3]}]
+    return mocker.patch(
+        "autogpt.llm.llm_utils.create_embedding", return_value=mock_response
+    )
+
+
 def error_factory(error_instance, error_count, retry_count, warn_user=True):
     class RaisesError:
         def __init__(self):
             self.count = 0
 
-        @llm_utils.retry_openai_api(
+        @retry_openai_api(
             num_retries=retry_count, backoff_base=0.001, warn_user=warn_user
         )
         def __call__(self):
@@ -30,7 +41,7 @@ def error_factory(error_instance, error_count, retry_count, warn_user=True):
 
 
 def test_retry_open_api_no_error(capsys):
-    @llm_utils.retry_openai_api()
+    @retry_openai_api()
     def f():
         return 1
 
@@ -103,31 +114,16 @@ def test_retry_openapi_other_api_error(capsys):
     assert output.out == ""
 
 
-def test_chunked_tokens():
-    text = "Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model"
-    expected_output = [
-        (
-            13556,
-            12279,
-            2898,
-            374,
-            459,
-            22772,
-            1825,
-            31874,
-            3851,
-            67908,
-            279,
-            17357,
-            315,
-            279,
-            480,
-            2898,
-            12,
-            19,
-            4221,
-            1646,
-        )
-    ]
-    output = list(llm_utils.chunked_tokens(text, "cl100k_base", 8191))
-    assert output == expected_output
+def test_get_ada_embedding(mock_create_embedding, api_manager):
+    model = "text-embedding-ada-002"
+    embedding = get_ada_embedding("test")
+    mock_create_embedding.assert_called_once_with(
+        "test", model="text-embedding-ada-002"
+    )
+
+    assert embedding == [0.1, 0.2, 0.3]
+
+    cost = COSTS[model]["prompt"]
+    assert api_manager.get_total_prompt_tokens() == 5
+    assert api_manager.get_total_completion_tokens() == 0
+    assert api_manager.get_total_cost() == (5 * cost) / 1000

tests/test_utils.py

@@ -56,13 +56,67 @@ def test_readable_file_size():
 
 @patch("requests.get")
 def test_get_bulletin_from_web_success(mock_get):
-    expected_content = "Test bulletin from web"
-
     mock_get.return_value.status_code = 200
-    mock_get.return_value.text = expected_content
+    mock_get.return_value.text = "Test bulletin"
     bulletin = get_bulletin_from_web()
 
-    assert expected_content in bulletin
+    assert bulletin == "Test bulletin"
+
+
+@patch("requests.get")
+def test_get_bulletin_from_web_failure(mock_get):
+    mock_get.return_value.status_code = 404
+    bulletin = get_bulletin_from_web()
+    print(bulletin)
+    assert bulletin == ""
+
+
+@skip_in_ci
+def test_get_current_git_branch():
+    branch_name = get_current_git_branch()
+
+    # Assuming that the branch name will be non-empty if the function is working correctly.
+    assert branch_name != ""
+
+
+def test_get_latest_bulletin_no_file():
+    if os.path.exists("CURRENT_BULLETIN.md"):
+        os.remove("CURRENT_BULLETIN.md")
+
+    with patch("autogpt.utils.get_bulletin_from_web", return_value=""):
+        bulletin = get_latest_bulletin()
+        assert bulletin == ""
+
+
+def test_get_latest_bulletin_with_file():
+    with open("CURRENT_BULLETIN.md", "w", encoding="utf-8") as f:
+        f.write("Test bulletin")
+
+    with patch("autogpt.utils.get_bulletin_from_web", return_value=""):
+        bulletin = get_latest_bulletin()
+        assert bulletin == "Test bulletin"
+
+    os.remove("CURRENT_BULLETIN.md")
+
+
+def test_get_latest_bulletin_with_new_bulletin():
+    with open("CURRENT_BULLETIN.md", "w", encoding="utf-8") as f:
+        f.write("Old bulletin")
+
+    with patch("autogpt.utils.get_bulletin_from_web", return_value="New bulletin"):
+        bulletin = get_latest_bulletin()
+        assert "New bulletin" in bulletin
+
+    os.remove("CURRENT_BULLETIN.md")
+
+
+@patch("requests.get")
+def test_get_bulletin_from_web_success(mock_get):
+    mock_get.return_value.status_code = 200
+    mock_get.return_value.text = "Test bulletin"
+    bulletin = get_bulletin_from_web()
+
+    assert bulletin == "Test bulletin"
     mock_get.assert_called_with(
         "https://raw.githubusercontent.com/Significant-Gravitas/Auto-GPT/master/BULLETIN.md"
     )
@@ -84,62 +138,6 @@ def test_get_bulletin_from_web_exception(mock_get):
     assert bulletin == ""
 
 
-def test_get_latest_bulletin_no_file():
-    if os.path.exists("data/CURRENT_BULLETIN.md"):
-        os.remove("data/CURRENT_BULLETIN.md")
-
-    bulletin, is_new = get_latest_bulletin()
-    assert is_new
-
-
-def test_get_latest_bulletin_with_file():
-    expected_content = "Test bulletin"
-    with open("data/CURRENT_BULLETIN.md", "w", encoding="utf-8") as f:
-        f.write(expected_content)
-
-    with patch("autogpt.utils.get_bulletin_from_web", return_value=""):
-        bulletin, is_new = get_latest_bulletin()
-        assert expected_content in bulletin
-        assert is_new == False
-
-    os.remove("data/CURRENT_BULLETIN.md")
-
-
-def test_get_latest_bulletin_with_new_bulletin():
-    with open("data/CURRENT_BULLETIN.md", "w", encoding="utf-8") as f:
-        f.write("Old bulletin")
-
-    expected_content = "New bulletin from web"
-    with patch("autogpt.utils.get_bulletin_from_web", return_value=expected_content):
-        bulletin, is_new = get_latest_bulletin()
-        assert "::NEW BULLETIN::" in bulletin
-        assert expected_content in bulletin
-        assert is_new
-
-    os.remove("data/CURRENT_BULLETIN.md")
-
-
-def test_get_latest_bulletin_new_bulletin_same_as_old_bulletin():
-    expected_content = "Current bulletin"
-    with open("data/CURRENT_BULLETIN.md", "w", encoding="utf-8") as f:
-        f.write(expected_content)
-
-    with patch("autogpt.utils.get_bulletin_from_web", return_value=expected_content):
-        bulletin, is_new = get_latest_bulletin()
-        assert expected_content in bulletin
-        assert is_new == False
-
-    os.remove("data/CURRENT_BULLETIN.md")
-
-
-@skip_in_ci
-def test_get_current_git_branch():
-    branch_name = get_current_git_branch()
-
-    # Assuming that the branch name will be non-empty if the function is working correctly.
-    assert branch_name != ""
-
-
 @patch("autogpt.utils.Repo")
 def test_get_current_git_branch_success(mock_repo):
     mock_repo.return_value.active_branch.name = "test-branch"
@@ -156,5 +154,47 @@ def test_get_current_git_branch_failure(mock_repo):
     assert branch_name == ""
 
 
+def test_get_latest_bulletin_no_file():
+    if os.path.exists("CURRENT_BULLETIN.md"):
+        os.remove("CURRENT_BULLETIN.md")
+
+    with patch("autogpt.utils.get_bulletin_from_web", return_value=""):
+        bulletin = get_latest_bulletin()
+        assert bulletin == ""
+
+
+def test_get_latest_bulletin_with_file():
+    with open("CURRENT_BULLETIN.md", "w", encoding="utf-8") as f:
+        f.write("Test bulletin")
+
+    with patch("autogpt.utils.get_bulletin_from_web", return_value=""):
+        bulletin = get_latest_bulletin()
+        assert bulletin == "Test bulletin"
+
+    os.remove("CURRENT_BULLETIN.md")
+
+
+def test_get_latest_bulletin_with_new_bulletin():
+    with open("CURRENT_BULLETIN.md", "w", encoding="utf-8") as f:
+        f.write("Old bulletin")
+
+    with patch("autogpt.utils.get_bulletin_from_web", return_value="New bulletin"):
+        bulletin = get_latest_bulletin()
+        assert f" {Fore.RED}::UPDATED:: {Fore.CYAN}New bulletin{Fore.RESET}" in bulletin
+
+    os.remove("CURRENT_BULLETIN.md")
+
+
+def test_get_latest_bulletin_new_bulletin_same_as_old_bulletin():
+    with open("CURRENT_BULLETIN.md", "w", encoding="utf-8") as f:
+        f.write("Test bulletin")
+
+    with patch("autogpt.utils.get_bulletin_from_web", return_value="Test bulletin"):
+        bulletin = get_latest_bulletin()
+        assert bulletin == "Test bulletin"
+
+    os.remove("CURRENT_BULLETIN.md")
+
+
 if __name__ == "__main__":
     pytest.main()

tests/unit/test_commands.py

@@ -10,12 +10,11 @@ from tests.utils import requires_api_key
 @pytest.mark.vcr
 @pytest.mark.integration_test
 @requires_api_key("OPENAI_API_KEY")
-def test_make_agent(patched_api_requestor) -> None:
+def test_make_agent() -> None:
     """Test that an agent can be created"""
     # Use the mock agent manager to avoid creating a real agent
     with patch("openai.ChatCompletion.create") as mock:
         response = MagicMock()
-        # del response.error
         response.choices[0].messages[0].content = "Test message"
         response.usage.prompt_tokens = 1
         response.usage.completion_tokens = 1

tests/unit/test_file_operations.py

@@ -2,19 +2,25 @@
 This set of unit tests is designed to test the file operations that autoGPT has access to.
 """
 
-import hashlib
 import os
-import re
-from io import TextIOWrapper
 from pathlib import Path
+from tempfile import gettempdir
 
 import pytest
-from pytest_mock import MockerFixture
 
-import autogpt.commands.file_operations as file_ops
+from autogpt.commands.file_operations import (
+    append_to_file,
+    check_duplicate_operation,
+    delete_file,
+    download_file,
+    log_operation,
+    read_file,
+    search_files,
+    split_file,
+    write_to_file,
+)
 from autogpt.config import Config
 from autogpt.utils import readable_file_size
-from autogpt.workspace import Workspace
 
 
 @pytest.fixture()
@@ -23,186 +29,66 @@ def file_content():
 
 
 @pytest.fixture()
-def test_file_path(config, workspace: Workspace):
-    return workspace.get_path("test_file.txt")
+def test_file(workspace, file_content):
+    test_file = str(workspace.get_path("test_file.txt"))
+    with open(test_file, "w") as f:
+        f.write(file_content)
+    return test_file
 
 
 @pytest.fixture()
-def test_file(test_file_path: Path):
-    file = open(test_file_path, "w")
-    yield file
-    if not file.closed:
-        file.close()
+def test_directory(workspace):
+    return str(workspace.get_path("test_directory"))
 
 
 @pytest.fixture()
-def test_file_with_content_path(test_file: TextIOWrapper, file_content):
-    test_file.write(file_content)
-    test_file.close()
-    file_ops.log_operation(
-        "write", test_file.name, file_ops.text_checksum(file_content)
-    )
-    return Path(test_file.name)
+def test_nested_file(workspace):
+    return str(workspace.get_path("nested/test_file.txt"))
 
 
-@pytest.fixture()
-def test_directory(config, workspace: Workspace):
-    return workspace.get_path("test_directory")
-
-
-@pytest.fixture()
-def test_nested_file(config, workspace: Workspace):
-    return workspace.get_path("nested/test_file.txt")
-
-
-def test_file_operations_log(test_file: TextIOWrapper):
-    log_file_content = (
-        "File Operation Logger\n"
-        "write: path/to/file1.txt #checksum1\n"
-        "write: path/to/file2.txt #checksum2\n"
-        "write: path/to/file3.txt #checksum3\n"
-        "append: path/to/file2.txt #checksum4\n"
-        "delete: path/to/file3.txt\n"
-    )
-    test_file.write(log_file_content)
-    test_file.close()
-
-    expected = [
-        ("write", "path/to/file1.txt", "checksum1"),
-        ("write", "path/to/file2.txt", "checksum2"),
-        ("write", "path/to/file3.txt", "checksum3"),
-        ("append", "path/to/file2.txt", "checksum4"),
-        ("delete", "path/to/file3.txt", None),
-    ]
-    assert list(file_ops.operations_from_log(test_file.name)) == expected
-
-
-def test_file_operations_state(test_file: TextIOWrapper):
-    # Prepare a fake log file
-    log_file_content = (
-        "File Operation Logger\n"
-        "write: path/to/file1.txt #checksum1\n"
-        "write: path/to/file2.txt #checksum2\n"
-        "write: path/to/file3.txt #checksum3\n"
-        "append: path/to/file2.txt #checksum4\n"
-        "delete: path/to/file3.txt\n"
-    )
-    test_file.write(log_file_content)
-    test_file.close()
-
-    # Call the function and check the returned dictionary
-    expected_state = {
-        "path/to/file1.txt": "checksum1",
-        "path/to/file2.txt": "checksum4",
-    }
-    assert file_ops.file_operations_state(test_file.name) == expected_state
-
-
-def test_is_duplicate_operation(config, mocker: MockerFixture):
-    # Prepare a fake state dictionary for the function to use
-    state = {
-        "path/to/file1.txt": "checksum1",
-        "path/to/file2.txt": "checksum2",
-    }
-    mocker.patch.object(file_ops, "file_operations_state", lambda _: state)
-
-    # Test cases with write operations
-    assert (
-        file_ops.is_duplicate_operation("write", "path/to/file1.txt", "checksum1")
-        is True
-    )
-    assert (
-        file_ops.is_duplicate_operation("write", "path/to/file1.txt", "checksum2")
-        is False
-    )
-    assert (
-        file_ops.is_duplicate_operation("write", "path/to/file3.txt", "checksum3")
-        is False
-    )
-    # Test cases with append operations
-    assert (
-        file_ops.is_duplicate_operation("append", "path/to/file1.txt", "checksum1")
-        is False
-    )
-    # Test cases with delete operations
-    assert file_ops.is_duplicate_operation("delete", "path/to/file1.txt") is False
-    assert file_ops.is_duplicate_operation("delete", "path/to/file3.txt") is True
+def test_check_duplicate_operation(config, test_file):
+    log_operation("write", test_file)
+    assert check_duplicate_operation("write", test_file) is True
 
 
 # Test logging a file operation
-def test_log_operation(config: Config):
-    file_ops.log_operation("log_test", "path/to/test")
-    with open(config.file_logger_path, "r", encoding="utf-8") as f:
+def test_log_operation(test_file, config):
+    file_logger_name = config.file_logger_path
+    if os.path.exists(file_logger_name):
+        os.remove(file_logger_name)
+
+    log_operation("log_test", test_file)
+    with open(config.file_logger_path, "r") as f:
         content = f.read()
-    assert f"log_test: path/to/test\n" in content
-
-
-def test_text_checksum(file_content: str):
-    checksum = file_ops.text_checksum(file_content)
-    different_checksum = file_ops.text_checksum("other content")
-    assert re.match(r"^[a-fA-F0-9]+$", checksum) is not None
-    assert checksum != different_checksum
-
-
-def test_log_operation_with_checksum(config: Config):
-    file_ops.log_operation("log_test", "path/to/test", checksum="ABCDEF")
-    with open(config.file_logger_path, "r", encoding="utf-8") as f:
-        content = f.read()
-    assert f"log_test: path/to/test #ABCDEF\n" in content
+    assert f"log_test: {test_file}" in content
 
 
 # Test splitting a file into chunks
 def test_split_file():
     content = "abcdefghij"
-    chunks = list(file_ops.split_file(content, max_length=4, overlap=1))
+    chunks = list(split_file(content, max_length=4, overlap=1))
     expected = ["abcd", "defg", "ghij"]
     assert chunks == expected
 
 
-def test_read_file(test_file_with_content_path: Path, file_content):
-    content = file_ops.read_file(test_file_with_content_path)
+def test_read_file(test_file, file_content):
+    content = read_file(test_file)
     assert content == file_content
 
 
-def test_write_to_file(test_file_path: Path):
+def test_write_to_file(config, test_nested_file):
     new_content = "This is new content.\n"
-    file_ops.write_to_file(str(test_file_path), new_content)
-    with open(test_file_path, "r", encoding="utf-8") as f:
+    write_to_file(test_nested_file, new_content)
+    with open(test_nested_file, "r") as f:
         content = f.read()
     assert content == new_content
 
 
-def test_write_file_logs_checksum(config: Config, test_file_path: Path):
-    new_content = "This is new content.\n"
-    new_checksum = file_ops.text_checksum(new_content)
-    file_ops.write_to_file(str(test_file_path), new_content)
-    with open(config.file_logger_path, "r", encoding="utf-8") as f:
-        log_entry = f.read()
-    assert log_entry == f"write: {test_file_path} #{new_checksum}\n"
-
-
-def test_write_file_fails_if_content_exists(test_file_path: Path):
-    new_content = "This is new content.\n"
-    file_ops.log_operation(
-        "write",
-        str(test_file_path),
-        checksum=file_ops.text_checksum(new_content),
-    )
-    result = file_ops.write_to_file(str(test_file_path), new_content)
-    assert result == "Error: File has already been updated."
-
-
-def test_write_file_succeeds_if_content_different(test_file_with_content_path: Path):
-    new_content = "This is different content.\n"
-    result = file_ops.write_to_file(str(test_file_with_content_path), new_content)
-    assert result == "File written to successfully."
-
-
-def test_append_to_file(test_nested_file: Path):
+def test_append_to_file(test_nested_file):
     append_text = "This is appended text.\n"
-    file_ops.write_to_file(test_nested_file, append_text)
+    write_to_file(test_nested_file, append_text)
 
-    file_ops.append_to_file(test_nested_file, append_text)
+    append_to_file(test_nested_file, append_text)
 
     with open(test_nested_file, "r") as f:
         content_after = f.read()
@@ -210,45 +96,24 @@ def test_append_to_file(test_nested_file: Path):
     assert content_after == append_text + append_text
 
 
-def test_append_to_file_uses_checksum_from_appended_file(
-    config: Config, test_file_path: Path
-):
-    append_text = "This is appended text.\n"
-    file_ops.append_to_file(test_file_path, append_text)
-    file_ops.append_to_file(test_file_path, append_text)
-    with open(config.file_logger_path, "r", encoding="utf-8") as f:
-        log_contents = f.read()
-
-    digest = hashlib.md5()
-    digest.update(append_text.encode("utf-8"))
-    checksum1 = digest.hexdigest()
-    digest.update(append_text.encode("utf-8"))
-    checksum2 = digest.hexdigest()
-    assert log_contents == (
-        f"append: {test_file_path} #{checksum1}\n"
-        f"append: {test_file_path} #{checksum2}\n"
-    )
+def test_delete_file(config, test_file):
+    delete_file(test_file)
+    assert os.path.exists(test_file) is False
+    assert delete_file(test_file) == "Error: File has already been deleted."
 
 
-def test_delete_file(test_file_with_content_path: Path):
-    result = file_ops.delete_file(str(test_file_with_content_path))
-    assert result == "File deleted successfully."
-    assert os.path.exists(test_file_with_content_path) is False
-
-
-def test_delete_missing_file(config):
-    filename = "path/to/file/which/does/not/exist"
-    # confuse the log
-    file_ops.log_operation("write", filename, checksum="fake")
+def test_delete_missing_file(test_file):
+    os.remove(test_file)
     try:
-        os.remove(filename)
-    except FileNotFoundError as err:
-        assert str(err) in file_ops.delete_file(filename)
+        os.remove(test_file)
+    except FileNotFoundError as e:
+        error_string = str(e)
+        assert error_string in delete_file(test_file)
         return
-    assert False, f"Failed to test delete_file; {filename} not expected to exist"
+    assert True, "Failed to test delete_file"
 
 
-def test_list_files(workspace: Workspace, test_directory: Path):
+def test_search_files(config, workspace, test_directory):
     # Case 1: Create files A and B, search for A, and ensure we don't return A and B
     file_a = workspace.get_path("file_a.txt")
     file_b = workspace.get_path("file_b.txt")
@@ -266,7 +131,7 @@ def test_list_files(workspace: Workspace, test_directory: Path):
     with open(os.path.join(test_directory, file_a.name), "w") as f:
         f.write("This is file A in the subdirectory.")
 
-    files = file_ops.list_files(str(workspace.root))
+    files = search_files(str(workspace.root))
     assert file_a.name in files
     assert file_b.name in files
     assert os.path.join(Path(test_directory).name, file_a.name) in files
@@ -279,28 +144,26 @@ def test_list_files(workspace: Workspace, test_directory: Path):
 
     # Case 2: Search for a file that does not exist and make sure we don't throw
     non_existent_file = "non_existent_file.txt"
-    files = file_ops.list_files("")
+    files = search_files("")
     assert non_existent_file not in files
 
 
-def test_download_file(config, workspace: Workspace):
+def test_download_file():
     url = "https://github.com/Significant-Gravitas/Auto-GPT/archive/refs/tags/v0.2.2.tar.gz"
-    local_name = workspace.get_path("auto-gpt.tar.gz")
+    local_name = os.path.join(gettempdir(), "auto-gpt.tar.gz")
     size = 365023
     readable_size = readable_file_size(size)
     assert (
-        file_ops.download_file(url, local_name)
+        download_file(url, local_name)
         == f'Successfully downloaded and locally stored file: "{local_name}"! (Size: {readable_size})'
     )
     assert os.path.isfile(local_name) is True
     assert os.path.getsize(local_name) == size
 
     url = "https://github.com/Significant-Gravitas/Auto-GPT/archive/refs/tags/v0.0.0.tar.gz"
-    assert "Got an HTTP Error whilst trying to download file" in file_ops.download_file(
+    assert "Got an HTTP Error whilst trying to download file" in download_file(
         url, local_name
     )
 
     url = "https://thiswebsiteiswrong.hmm/v0.0.0.tar.gz"
-    assert "Failed to establish a new connection:" in file_ops.download_file(
-        url, local_name
-    )
+    assert "Failed to establish a new connection:" in download_file(url, local_name)

tests/unit/test_get_self_feedback.py

@@ -9,14 +9,12 @@ def test_get_self_feedback(mocker):
         "reasoning": "Sample reasoning.",
         "plan": "Sample plan.",
         "thoughts": "Sample thoughts.",
+        "criticism": "Sample criticism.",
     }
 
     # Define a fake response for the create_chat_completion function
     fake_response = (
-        "The AI Agent has demonstrated a reasonable thought process, but there is room for improvement. "
-        "For example, the reasoning could be elaborated to better justify the plan, and the plan itself "
-        "could be more detailed to ensure its effectiveness. In addition, the AI Agent should focus more "
-        "on its core role and prioritize thoughts that align with that role."
+        "Y The provided information is suitable for achieving the role's objectives."
     )
 
     # Mock the create_chat_completion function
@@ -38,9 +36,5 @@ def test_get_self_feedback(mocker):
         "gpt-3.5-turbo",
     )
 
-    # Check if the response is a non-empty string
-    assert isinstance(feedback, str) and len(feedback) > 0
-
-    # Check if certain keywords from input thoughts are present in the feedback response
-    for keyword in ["reasoning", "plan", "thoughts"]:
-        assert keyword in feedback
+    # Check if the response is correct
+    assert feedback == fake_response