Initial code structure

.gitignore

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+.idea

CODE_OF_CONDUCT.md

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+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.

LICENSE

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+MIT License
+
+Copyright (c) 2023 TransformerOptimus
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.MD

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+<p align=center>
+<a href="https://superagi.co"><img src=https://superagi.co/wp-content/uploads/2023/05/SuperAGI_icon.png></a>
+
+° [![Join our Discord Server](https://img.shields.io/badge/Discord-SuperAGI-blueviolet?logo=discord&logoColor=white)](https://discord.gg/dXbRe5BHJC) °  [![Follow us on Twitter](https://img.shields.io/twitter/follow/_superAGI?label=_superAGI&style=social)](https://twitter.com/_superAGI) ° [![Join the discussion on Reddit](https://img.shields.io/reddit/subreddit-subscribers/Super_AGI?label=%2Fr/Super_AGI&style=social)](https://www.reddit.com/r/Super_AGI) 
+</p>
+
+### *Infrastructure for building useful Autonomous Agents*
+
+## 💡Features
+
+### 🚀**Provision, Spawn & Deploy Autonomous AI Agents**
+
+### 🛠️**Extend Agent Capabilities with Tools**
+
+### 🔄**Run Concurrent Agents Seamlessly**
+
+### 🔓**Open Source:**
+SuperAGI is an open-source platform, enabling developers to join a community of contributors constantly working to make it better.
+
+### 🖥️**GUI:**
+Access your agents through a user-friendly graphical interface, simplifying agent management and interaction.
+
+### ⌨️**Action Console:**
+Interact with agents by providing input, permissions, and more.
+
+### 📊**Multiple Vector DBs:**
+Connect to multiple Vector DBs to enhance your agent's performance and access additional data sources.
+
+### 🤖**Multi-Model Agents:**
+Customize your agents by using different models of your choice, tailoring their behavior to specific tasks.
+
+### 🎯**Agent Trajectory Fine-Tuning:**
+Agents learn and improve their performance over time through feedback loops, allowing for fine-tuning and optimization.
+
+### 📈**Performance Telemetry:**
+Gain insights into your agent's performance through telemetry data, enabling optimization and improvement.
+
+### 💰**Optimized Token Usage:**
+Control token usage to effectively manage costs associated with the platform.
+
+### 🧠**Agent Memory Storage:**
+Enable agents to learn and adapt by storing their memory, facilitating continuous improvement.
+
+### 🔁**Looping Detection Heuristics:**
+Receive notifications when agents get stuck in a loop and take proactive measures to resolve the issue.
+
+### 🚀**Concurrent Agents:**
+Run multiple agents simultaneously, maximizing efficiency and achieving parallel processing.
+
+### 💾**Resource Manager:**
+Read and store files generated by agents, facilitating data management and analysis.

agent/agent_execution.py

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+# agent has a master prompt
+# agent executes the master prompt along with long term memory
+# agent can run the task queue as well with long term memory
+class AgentExecution:
+  def __int__(self, agent_prompt, document):
+    self.state = None
+
+
+  async def send_request_to_openai(self, prompt):
+    try:
+      openai.api_key = os.getenv("OPENAI_API_KEY")
+      response = await openai.ChatCompletion.acreate(
+        n=self.number_of_results,
+        model=self.model,
+        messages=prompt,
+        temperature=self.temperature,
+        max_tokens=self.max_tokens,
+        top_p=self.top_p,
+        frequency_penalty=self.frequency_penalty,
+        presence_penalty=self.presence_penalty
+      )
+      return response
+
+    except Exception as exception:
+      return {"error": exception}
+
+
+
+

agent/agent_prompt.py

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+from typing import List
+
+
+class AgentPrompt:
+  def __int__(self) -> None:
+    self.ai_name: str = ""
+    self.ai_role: str = ""
+    self.base_prompt: str = ""
+    self.goals: List[str] = []
+    self.constraints: List[str] = []
+    self.tools: List[str] = []
+    self.resources: List[str] = []
+    self.evaluations: List[str] = []
+    self.response_format: str = ""
+
+  def construct_full_prompt(self) -> str:
+    # Construct full prompt
+    full_prompt = (
+      f"You are {self.ai_name}, {self.ai_role}\n{self.base_prompt}\n\nGOALS:\n\n"
+    )
+    for i, goal in enumerate(self.goals):
+      full_prompt += f"{i + 1}. {goal}\n"
+
+    for i, goal in enumerate(self.goals):
+      full_prompt += f"{i + 1}. {goal}\n"
+
+    full_prompt += f"\n\n{get_prompt(self.tools)}"
+    return full_prompt
+
+  def build_agent_prompt(self):
+    agent_prompt = AgentPrompt()
+    prompt_start = (
+      "Your decisions must always be made independently "
+      "without seeking user assistance.\n"
+      "Play to your strengths as an LLM and pursue simple "
+      "strategies with no legal complications.\n"
+      "If you have completed all your tasks, make sure to "
+      'use the "finish" command.'
+    )
+    agent_prompt.set_base_system_prompt(prompt_start)
+    agent_prompt.goals(prompt_start)
+
+
+
+

agent/agent_prompt_builder.py

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+from agent.agent_prompt import AgentPrompt
+
+
+class AgentPromptBuilder:
+  def __init__(self, agent):
+    self.agent_prompt = AgentPrompt()
+
+  def set_base_prompt(self, base_prompt):
+    self.agent_prompt.set_base_system_prompt(base_prompt)
+
+  def add_goal(self, goal):
+    self.agent_prompt.tools.append(goal)
+
+  def add_tool(self, tool):
+    self.agent_prompt.goals.append(tool)
+
+  def add_resource(self, resource: str) -> None:
+    self.agent_prompt.resources.append(resource)
+
+  def add_constraint(self, constraint):
+    self.agent_prompt.constraints.append(constraint)
+
+  def add_evaluation(self, evaluation: str) -> None:
+    self.agent_prompt.evaluations.append(evaluation)
+
+  def set_response_format(self, response_format: str) -> None:
+    self.agent_prompt.set_response_format(response_format)
+
+
+  def build_agent_prompt(self):
+    agent_prompt = AgentPrompt()
+    prompt_start = (
+      "Your decisions must always be made independently "
+      "without seeking user assistance.\n"
+      "Play to your strengths as an LLM and pursue simple "
+      "strategies with no legal complications.\n"
+      "If you have completed all your tasks, make sure to "
+      'use the "finish" command.'
+    )
+    agent_prompt.set_base_system_prompt(prompt_start)
+    agent_prompt.goals(prompt_start)
+
+  @classmethod
+  def get_autogpt_prompt(cls) -> str:
+    # Initialize the PromptGenerator object
+    prompt_builder = AgentPromptBuilder()
+    base_prompt = (
+      "Your decisions must always be made independently "
+      "without seeking user assistance.\n"
+      "Play to your strengths as an LLM and pursue simple "
+      "strategies with no legal complications.\n"
+      "If you have completed all your tasks, make sure to "
+      'use the "finish" command.'
+    )
+    prompt_builder.set_base_prompt(base_prompt)
+
+    # Add constraints to the PromptGenerator object
+    prompt_builder.add_constraint(
+        "~4000 word limit for short term memory. "
+        "Your short term memory is short, "
+        "so immediately save important information to files."
+    )
+    prompt_builder.add_constraint(
+        "If you are unsure how you previously did something "
+        "or want to recall past events, "
+        "thinking about similar events will help you remember."
+    )
+    prompt_builder.add_constraint("No user assistance")
+    prompt_builder.add_constraint(
+        'Exclusively use the commands listed in double quotes e.g. "command name"'
+    )
+
+    # Add commands to the PromptGenerator object
+    for tool in tools:
+        prompt_generator.add_tool(tool)
+
+    resources = ["Internet access for searches and information gathering.",
+                 "Long Term memory management.",
+                 "GPT-3.5 powered Agents for delegation of simple tasks.",
+                 "File output."]
+    for resource in resources:
+      prompt_builder.add_resource(resource)
+
+    # Add performance evaluations to the PromptGenerator object
+    evaluations = [
+        "Continuously review and analyze your actions "
+        "to ensure you are performing to the best of your abilities.",
+        "Constructively self-criticize your big-picture behavior constantly.",
+        "Reflect on past decisions and strategies to refine your approach.",
+        "Every command has a cost, so be smart and efficient. "
+        "Aim to complete tasks in the least number of steps.",
+    ]
+    for evaluation in evaluations:
+      prompt_builder.add_evaluation(evaluation)
+
+    # Generate the prompt string
+    prompt_string = prompt_generator.generate_prompt_string()
+
+    return prompt_string

agent/super_agi.py

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+# agent has a master prompt
+# agent executes the master prompt along with long term memory
+# agent can run the task queue as well with long term memory
+class SuperAgi:
+  def __int__(self):
+    self.state = None
+
+  def execute_step(self):
+    pass
+
+  def call_llm(self):
+    pass
+
+  def move_to_next_step(self):
+    pass
+