Merge pull request #219 from MervinPraison/develop

Fix manager_llm in praisonaiagents
2026-11-13 05:01:35 -10:00 · 2024-12-26 08:16:18 +00:00 · 2024-12-26 08:16:01 +00:00 · 2024-12-24 20:30:08 +00:00 · 2024-12-24 20:29:51 +00:00 · 2024-12-24 13:27:34 +00:00
16 changed files with 606 additions and 283 deletions
@@ -1,6 +1,6 @@
 FROM python:3.11-slim
 WORKDIR /app
 COPY . .
-RUN pip install flask praisonai==2.0.4 gunicorn markdown
+RUN pip install flask praisonai==2.0.14 gunicorn markdown
 EXPOSE 8080
 CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]
@@ -20,7 +20,129 @@

 </div>

-Praison AI, leveraging both AutoGen and CrewAI or any other agent framework, represents a low-code, centralised framework designed to simplify the creation and orchestration of multi-agent systems for various LLM applications, emphasizing ease of use, customization, and human-agent interaction.
+PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human–agent collaboration.
+
+## Key Features
+
+- 🤖 Automated AI Agents Creation
+- 🔄 Use CrewAI or AutoGen Framework
+- 💯 100+ LLM Support
+- 💻 Chat with ENTIRE Codebase
+- 🖥️ Interactive UIs
+- 📄 YAML-based Configuration
+- 🛠️ Custom Tool Integration
+- 🔍 Internet Search Capability (using Crawl4AI and Tavily)
+- 👁️ Vision Language Model (VLM) Support
+- 🎙️ Real-time Voice Interaction
+
+## Using No Code
+
+### Auto Mode:
+```bash
+pip install praisonai
+export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
+praisonai --auto create a movie script about Robots in Mars
+```
+
+### Initialise Mode:
+```bash
+pip install praisonai
+export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
+praisonai --init create a movie script about Robots in Mars
+praisonai
+```
+
+## Using Coding
+
+Light weight package dedicated for coding:
+```bash
+pip install praisonaiagents
+```
+
+```bash
+export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
+```
+
+Create app.py file and add the code below:
+```python
+from praisonaiagents import Agent, Task, PraisonAIAgents
+
+# 1. Create agents
+researcher = Agent(
+    name="Researcher",
+    role="Senior Research Analyst",
+    goal="Uncover cutting-edge developments in AI and data science",
+    backstory="""You are an expert at a technology research group, 
+    skilled in identifying trends and analyzing complex data.""",
+    verbose=True,
+    llm="gpt-4o",
+    markdown=True
+)
+writer = Agent(
+    name="Writer",
+    role="Tech Content Strategist",
+    goal="Craft compelling content on tech advancements",
+    backstory="""You are a content strategist known for 
+    making complex tech topics interesting and easy to understand.""",
+    llm="gpt-4o",
+    markdown=True
+)
+
+# 2. Define Tasks
+task1 = Task(
+    name="research_task",
+    description="""Analyze 2024's AI advancements. 
+    Find major trends, new technologies, and their effects.""",
+    expected_output="""A detailed report on 2024 AI advancements""",
+    agent=researcher
+)
+
+task2 = Task(
+    name="writing_task",
+    description="""Create a blog post about major AI advancements using the insights you have.
+    Make it interesting, clear, and suited for tech enthusiasts. 
+    It should be at least 4 paragraphs long.""",
+    expected_output="A blog post of at least 4 paragraphs",
+    agent=writer,
+)
+
+agents = PraisonAIAgents(
+    agents=[researcher, writer],
+    tasks=[task1, task2],
+    verbose=False,
+    process="hierarchical",
+    manager_llm="gpt-4o"
+)
+
+result = agents.start()
+```
+
+Run:
+```bash
+python app.py
+```
+
+## Ollama Integration
+```bash
+export OPENAI_BASE_URL=http://localhost:11434/v1
+```
+
+## Groq Integration
+Replace xxxx with Groq API KEY:
+```bash
+export OPENAI_API_KEY=xxxxxxxxxxx
+export OPENAI_BASE_URL=https://api.groq.com/openai/v1
+```
+
+## Logging
+```bash
+export LOGLEVEL=info
+```
+
+Advanced logging:
+```bash
+export LOGLEVEL=debug
+```

 <div align="center">
  <picture>
@@ -130,18 +252,7 @@ When installing with `pip install "praisonai[autogen]"`, you get:
 - Multi-agent conversation capabilities
 - Code execution environment

-## Key Features

- 🤖 Automated AI Agents Creation
- 🔄 Use CrewAI or AutoGen Framework
- 💯 100+ LLM Support
- 💻 Chat with ENTIRE Codebase
- 🖥️ Interactive UIs
- 📄 YAML-based Configuration
- 🛠️ Custom Tool Integration
- 🔍 Internet Search Capability (using Crawl4AI and Tavily)
- 👁️ Vision Language Model (VLM) Support
- 🎙️ Real-time Voice Interaction

 ## TL;DR Multi Agents

@@ -1,5 +1,5 @@
 framework: praisonai
-process: hierarchical
+process: sequential
 topic: create movie script about cat in mars
 roles:
  researcher:
@@ -7,18 +7,22 @@ roles:
      information.
    goal: Gather information about Mars and cats
    role: Researcher
+    llm:
+      model: "gpt-4o"
    tasks:
      research_task:
        description: Research about Mars, its environment, and the feasibility of
          a cat being on Mars. Also, research about cat behavior and characteristics.
        expected_output: Document with research findings on Mars and cats.
    tools:
-    - ''
+    - 'search_tool'
  narrative_designer:
    backstory: Skilled in narrative development, with a focus on creating engaging
      stories.
    goal: Create a story concept for a movie about a cat in Mars
    role: Narrative Designer
+    llm:
+      model: "gpt-4o"
    tasks:
      story_concept_development:
        description: Use the research findings to craft a unique story concept for
@@ -31,6 +35,8 @@ roles:
      scripts.
    goal: Write a movie script about a cat in Mars
    role: Scriptwriter
+    llm:
+      model: "gpt-4o"
    tasks:
      scriptwriting_task:
        description: Turn the story concept into a production-ready movie script,
@@ -3,7 +3,7 @@ import logging
 from rich.console import Console
 from rich.panel import Panel
 from rich.text import Text
-from praisonaiagents import Agent, Task, Agents, error_logs
+from praisonaiagents import Agent, Task, PraisonAIAgents, error_logs

 # Configure logging
 logging.basicConfig(
@@ -16,16 +16,42 @@ def my_callback(output):
    logging.info(f"Callback function called after task execution: {output.description}")
    logging.info(f"Task output: {output}")

+from duckduckgo_search import DDGS
+
+def internet_search_tool(query):
+    """
+    Perform a search using DuckDuckGo.
+
+    Args:
+        query (str): The search query.
+
+    Returns:
+        list: A list of search result titles and URLs.
+    """
+    try:
+        results = []
+        ddgs = DDGS()
+        for result in ddgs.text(keywords=query, max_results=10):
+            results.append({
+                "title": result.get("title", ""),
+                "url": result.get("href", "")
+            })
+        return results
+
+    except Exception as e:
+        print(f"Error during DuckDuckGo search: {e}")
+        return []
+
 def main():
    # Make sure OPENAI_API_KEY is set
    if not os.environ.get("OPENAI_API_KEY"):
        raise ValueError("Please set OPENAI_API_KEY environment variable")

    # Define tools
-    search_tool = {
+    internet_search_tool = {
        "type": "function",
        "function": {
-            "name": "search_tool",
+            "name": "internet_search_tool",
            "description": "Use this to perform search queries",
            "parameters": {
                "type": "object",
@@ -60,7 +86,7 @@ def main():
        skilled in identifying trends and analyzing complex data.""",
        verbose=True,
        allow_delegation=False,
-        tools=[search_tool],
+        tools=[internet_search_tool],
        llm="gpt-4o",
        markdown=True
    )
@@ -84,7 +110,7 @@ def main():
        Find major trends, new technologies, and their effects.""",
        expected_output="""A detailed report on 2024 AI advancements""",
        agent=researcher,
-        tools=[search_tool]
+        tools=[internet_search_tool]
    )

    task2 = Task(
@@ -118,7 +144,7 @@ def main():
    )

    # Create and run agents manager
-    agents = Agents(
+    agents = PraisonAIAgents(
        agents=[researcher, writer],
        tasks=[task1, task2, task3, task4],
        verbose=False,
@@ -22,7 +22,9 @@ class PraisonAIAgents:
        self.verbose = verbose
        self.max_retries = max_retries
        self.process = process
-        self.manager_llm = manager_llm
+        if not manager_llm:
+            logging.debug("No manager_llm provided. Using OPENAI_MODEL_NAME environment variable or defaulting to 'gpt-4o'")
+        self.manager_llm = manager_llm if manager_llm else os.getenv('OPENAI_MODEL_NAME', 'gpt-4o')
        for task in tasks:
            self.add_task(task)
            task.status = "not started"
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"

 [project]
 name = "praisonaiagents"
-version = "0.0.4"
+version = "0.0.6"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 authors = [
    { name="Mervin Praison" }
@@ -186,7 +186,7 @@ wheels = [

 [[package]]
 name = "praisonaiagents"
-version = "0.0.4"
+version = "0.0.6"
 source = { editable = "." }
 dependencies = [
    { name = "openai" },
@@ -110,7 +110,7 @@ Loads environment variables from .env file or system and sets them.</p>
            file.write(&#34;FROM python:3.11-slim\n&#34;)
            file.write(&#34;WORKDIR /app\n&#34;)
            file.write(&#34;COPY . .\n&#34;)
-            file.write(&#34;RUN pip install flask praisonai==2.0.4 gunicorn markdown\n&#34;)
+            file.write(&#34;RUN pip install flask praisonai==2.0.14 gunicorn markdown\n&#34;)
            file.write(&#34;EXPOSE 8080\n&#34;)
            file.write(&#39;CMD [&#34;gunicorn&#34;, &#34;-b&#34;, &#34;0.0.0.0:8080&#34;, &#34;api:app&#34;]\n&#39;)
            
@@ -10,7 +10,129 @@
 <a href="https://github.com/MervinPraison/PraisonAI"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License" /></a>
 </p>

-Praison AI, leveraging both AutoGen and CrewAI or any other agent framework, represents a low-code, centralised framework designed to simplify the creation and orchestration of multi-agent systems for various LLM applications, emphasizing ease of use, customization, and human-agent interaction.
+PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human–agent collaboration.
+
+## Key Features
+
+- 🤖 Automated AI Agents Creation
+- 🔄 Use CrewAI or AutoGen Framework
+- 💯 100+ LLM Support
+- 💻 Chat with ENTIRE Codebase
+- 🖥️ Interactive UIs
+- 📄 YAML-based Configuration
+- 🛠️ Custom Tool Integration
+- 🔍 Internet Search Capability (using Crawl4AI and Tavily)
+- 👁️ Vision Language Model (VLM) Support
+- 🎙️ Real-time Voice Interaction
+
+## Using No Code
+
+### Auto Mode:
+```bash
+pip install praisonai
+export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
+praisonai --auto create a movie script about Robots in Mars
+```
+
+### Initialise Mode:
+```bash
+pip install praisonai
+export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
+praisonai --init create a movie script about Robots in Mars
+praisonai
+```
+
+## Using Coding
+
+Light weight package dedicated for coding:
+```bash
+pip install praisonaiagents
+```
+
+```bash
+export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
+```
+
+Create app.py file and add the code below:
+```python
+from praisonaiagents import Agent, Task, PraisonAIAgents
+
+# 1. Create agents
+researcher = Agent(
+    name="Researcher",
+    role="Senior Research Analyst",
+    goal="Uncover cutting-edge developments in AI and data science",
+    backstory="""You are an expert at a technology research group, 
+    skilled in identifying trends and analyzing complex data.""",
+    verbose=True,
+    llm="gpt-4o",
+    markdown=True
+)
+writer = Agent(
+    name="Writer",
+    role="Tech Content Strategist",
+    goal="Craft compelling content on tech advancements",
+    backstory="""You are a content strategist known for 
+    making complex tech topics interesting and easy to understand.""",
+    llm="gpt-4o",
+    markdown=True
+)
+
+# 2. Define Tasks
+task1 = Task(
+    name="research_task",
+    description="""Analyze 2024's AI advancements. 
+    Find major trends, new technologies, and their effects.""",
+    expected_output="""A detailed report on 2024 AI advancements""",
+    agent=researcher
+)
+
+task2 = Task(
+    name="writing_task",
+    description="""Create a blog post about major AI advancements using the insights you have.
+    Make it interesting, clear, and suited for tech enthusiasts. 
+    It should be at least 4 paragraphs long.""",
+    expected_output="A blog post of at least 4 paragraphs",
+    agent=writer,
+)
+
+agents = PraisonAIAgents(
+    agents=[researcher, writer],
+    tasks=[task1, task2],
+    verbose=False,
+    process="hierarchical",
+    manager_llm="gpt-4o"
+)
+
+result = agents.start()
+```
+
+Run:
+```bash
+python app.py
+```
+
+## Ollama Integration
+```bash
+export OPENAI_BASE_URL=http://localhost:11434/v1
+```
+
+## Groq Integration
+Replace xxxx with Groq API KEY:
+```bash
+export OPENAI_API_KEY=xxxxxxxxxxx
+export OPENAI_BASE_URL=https://api.groq.com/openai/v1
+```
+
+## Logging
+```bash
+export LOGLEVEL=info
+```
+
+Advanced logging:
+```bash
+export LOGLEVEL=debug
+```

 <div align="center">
  <picture>
@@ -844,116 +844,103 @@ watchfiles = ">=0.20.0,<0.21.0"

 [[package]]
 name = "charset-normalizer"
-version = "3.4.0"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.7"
 files = [
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 [[package]]
@@ -1496,13 +1483,13 @@ files = [

 [[package]]
 name = "duckduckgo-search"
-version = "7.0.2"
+version = "7.1.0"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]

 [package.dependencies]
@@ -5489,13 +5476,13 @@ selenium = ">=4.18.1,<5.0.0"

 [[package]]
 name = "praisonaiagents"
-version = "0.0.4"
+version = "0.0.6"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 optional = false
 python-versions = "*"
 files = [
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 ]

 [package.dependencies]
@@ -7973,13 +7960,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,

 [[package]]
 name = "trio"
-version = "0.27.0"
+version = "0.28.0"
 description = "A friendly Python library for async concurrency and I/O"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]

 [package.dependencies]
@@ -8808,7 +8795,24 @@ enabler = ["pytest-enabler (>=2.2)"]
 test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]

+[extras]
+agentops = ["agentops"]
+anthropic = ["langchain-anthropic"]
+api = ["flask"]
+autogen = ["crewai", "praisonai-tools", "pyautogen"]
+call = ["fastapi", "flaml", "openai", "pyngrok", "rich", "twilio", "uvicorn", "websockets"]
+chat = ["aiosqlite", "chainlit", "crawl4ai", "greenlet", "litellm", "playwright", "pydantic", "rich", "sqlalchemy", "tavily-python"]
+code = ["aiosqlite", "chainlit", "crawl4ai", "greenlet", "litellm", "playwright", "pydantic", "sqlalchemy", "tavily-python"]
+cohere = ["langchain-cohere"]
+crewai = ["crewai", "praisonai-tools"]
+google = ["langchain-google-genai"]
+gradio = ["gradio"]
+openai = ["langchain-openai"]
+realtime = ["aiosqlite", "chainlit", "crawl4ai", "duckduckgo_search", "greenlet", "litellm", "plotly", "sqlalchemy", "tavily-python", "websockets", "yfinance"]
+train = []
+ui = ["chainlit"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "82b910cae134177cc79a3b6ca572ee14bf95ee3bf9d334012ca5890bdb5feb69"
+content-hash = "f9c68b4ea4e722bca4f2ff19ee22817ac0b8f6404c41289712dddc715cbde3da"
@@ -3,7 +3,7 @@ class Praisonai < Formula
  
    desc "AI tools for various AI applications"
    homepage "https://github.com/MervinPraison/PraisonAI"
-    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/2.0.4.tar.gz"
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/2.0.14.tar.gz"
    sha256 "1828fb9227d10f991522c3f24f061943a254b667196b40b1a3e4a54a8d30ce32"  # Replace with actual SHA256 checksum
    license "MIT"
  
@@ -200,6 +200,57 @@ class AgentsGenerator:
                    tools_dict[name] = obj
        return tools_dict

+    def load_tools_from_tools_py(self):
+        """
+        Automatically loads all tools (functions and tool definitions) from tools.py file.
+
+        Returns:
+            dict: A dictionary containing:
+                - Function names as keys and function objects as values
+                - Tool definition names as keys and tool definition dictionaries as values
+
+        Note:
+            This function looks for:
+            1. Regular functions
+            2. Tool definition dictionaries (containing 'type' and 'function' keys)
+            3. Variables named as tools or ending with '_tool'
+        """
+        tools_dict = {}
+        try:
+            # Try to import tools.py from current directory
+            spec = importlib.util.spec_from_file_location("tools", "tools.py")
+            if spec is None:
+                self.logger.warning("tools.py not found in current directory")
+                return tools_dict
+
+            module = importlib.util.module_from_spec(spec)
+            spec.loader.exec_module(module)
+
+            # Get all module attributes
+            for name, obj in inspect.getmembers(module):
+                # Skip private attributes
+                if name.startswith('_'):
+                    continue
+                    
+                # Case 1: Regular functions
+                if inspect.isfunction(obj) and obj.__module__ == "tools":
+                    tools_dict[name] = obj
+                    
+                # Case 2: Tool definition dictionaries
+                elif isinstance(obj, dict) and obj.get('type') == 'function' and 'function' in obj:
+                    tools_dict[name] = obj
+                    
+                # Case 3: Variables named as tools
+                elif (name.endswith('_tool') or name == 'tools') and not inspect.ismodule(obj):
+                    tools_dict[name] = obj
+
+            self.logger.debug(f"Loaded {len(tools_dict)} tools from tools.py")
+            
+        except Exception as e:
+            self.logger.warning(f"Error loading tools from tools.py: {e}")
+            
+        return tools_dict
+
    def generate_crew_and_kickoff(self):
        """
        Generates a crew of agents and initiates tasks based on the provided configuration.
@@ -271,7 +322,7 @@ class AgentsGenerator:
        elif tools_dir_path.is_dir():
            tools_dict.update(self.load_tools_from_module_class(tools_dir_path))
            self.logger.debug("tools folder exists in the root directory")
-        
+
        framework = self.framework or config.get('framework')

        if framework == "autogen":
@@ -498,6 +549,8 @@ class AgentsGenerator:
        tasks = []
        tasks_dict = {}

+        tools_dict = self.load_tools_from_tools_py()
+
        # Create agents from config
        for role, details in config['roles'].items():
            role_filled = details['role'].format(topic=topic)
@@ -56,7 +56,7 @@ class CloudDeployer:
            file.write("FROM python:3.11-slim\n")
            file.write("WORKDIR /app\n")
            file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==2.0.4 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.0.14 gunicorn markdown\n")
            file.write("EXPOSE 8080\n")
            file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
            
@@ -1,17 +1,6 @@
-[build-system]
-requires = [
-    "poetry-core>=1.0.0",
-    "setuptools>=42",
-    "wheel>=0.37.0",
-    "instructor>=0.4.8",
-    "python-dotenv>=1.0.1",
-    "PyYAML>=6.0"
-]
-build-backend = "poetry.core.masonry.api"
-
 [project]
 name = "PraisonAI"
-version = "2.0.4"
+version = "2.0.14"
 description = "PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration."
 readme = "README.md"
 license = ""
@@ -23,29 +12,13 @@ dependencies = [
    "rich>=13.7",
    "markdown>=3.5",
    "pyparsing>=3.0.0",
-    "python-dotenv>=1.0.1",
-    "instructor>=0.4.8",
+    "praisonaiagents>=0.0.6",
+    "python-dotenv>=0.19.0",
+    "instructor>=1.3.3",
    "PyYAML>=6.0",
-    "praisonaiagents>=0.0.4"
 ]

-[project.scripts]
-praisonai = "praisonai.__main__:main"
-setup-conda-env = "setup.setup_conda_env:main"
-praisonai-call = "praisonai.api.call:main"
-
 [project.optional-dependencies]
-autogen = [
-    "pyautogen>=0.2.19",
-    "praisonai-tools>=0.0.7",
-    "instructor>=0.4.8",
-    "crewai>=0.32.0"
-]
-crewai = [
-    "crewai>=0.32.0",
-    "praisonai-tools>=0.0.7",
-    "instructor>=0.4.8"
-]
 ui = ["chainlit==2.0rc1"]
 gradio = ["gradio>=4.26.0"]
 api = ["flask>=3.0.0"]
@@ -63,8 +36,7 @@ chat = [
    "crawl4ai==0.3.4",
    "sqlalchemy>=2.0.36",
    "playwright>=1.47.0",
-    "rich>=13.7",
-    "instructor>=0.4.8",
+    "rich",
    "pydantic<=2.10.1"
 ]
 code = [
@@ -96,17 +68,17 @@ call = [
    "fastapi>=0.95.0",
    "uvicorn>=0.20.0",
    "websockets>=12.0",
-    "python-dotenv>=1.0.1",
    "flaml[automl]>=2.3.1",
    "pyngrok>=1.4.0",
-    "rich>=13.7",
+    "rich",
    "openai>=1.54.0",
-    "instructor>=0.4.8"
 ]
+crewai = ["crewai>=0.32.0", "praisonai-tools>=0.0.7"]
+autogen = ["pyautogen>=0.2.19", "praisonai-tools>=0.0.7", "crewai"]

 [tool.poetry]
 name = "PraisonAI"
-version = "2.0.4"
+version = "2.0.14"
 description = "PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration."
 authors = ["Mervin Praison"]
 license = ""
@@ -124,10 +96,10 @@ python = ">=3.10,<3.13"
 rich = ">=13.7"
 markdown = ">=3.5"
 pyparsing = ">=3.0.0"
-python-dotenv = ">=1.0.1"
-instructor = ">=0.4.8"
+praisonaiagents = ">=0.0.6"
+python-dotenv = ">=0.19.0"
+instructor = ">=1.3.3"
 PyYAML = ">=6.0"
-praisonaiagents = ">=0.0.4"
 pyautogen = {version = ">=0.2.19", optional = true}
 crewai = {version = ">=0.32.0", optional = true}
 praisonai-tools = {version = ">=0.0.7", optional = true}
@@ -208,7 +180,10 @@ aiosqlite = ">=0.20.0"
 greenlet = ">=3.0.3"

 [build-system]
-requires = ["poetry-core", "setuptools>=42"]
+requires = [
+    "poetry-core",
+    "setuptools>=42",
+]
 build-backend = "poetry.core.masonry.api"


@@ -236,7 +211,6 @@ chat = [
    "sqlalchemy",
    "playwright",
    "rich",
-    "instructor",
    "pydantic"
 ]
 code = [
@@ -268,16 +242,14 @@ call = [
    "twilio", 
    "fastapi", 
    "uvicorn", 
-    "websockets", 
-    "python-dotenv", 
+    "websockets",
    "flaml", 
    "pyngrok", 
    "rich",
    "openai",
-    "instructor"
 ]
-crewai = ["crewai", "praisonai-tools", "instructor"]
-autogen = ["pyautogen", "praisonai-tools", "instructor", "crewai"]
+crewai = ["crewai", "praisonai-tools"]
+autogen = ["pyautogen", "praisonai-tools", "crewai"]

 [tool.poetry-dynamic-versioning]
 enable = true
@@ -1,5 +1,48 @@
 # tools.py

+# from duckduckgo_search import DDGS
+
+# def search_tool(query):
+#     """
+#     Perform a search using DuckDuckGo.
+
+#     Args:
+#         query (str): The search query.
+
+#     Returns:
+#         list: A list of search result titles and URLs.
+#     """
+#     try:
+#         results = []
+#         ddgs = DDGS()
+#         for result in ddgs.text(keywords=query, max_results=10):
+#             results.append({
+#                 "title": result.get("title", ""),
+#                 "url": result.get("href", "")
+#             })
+#         return results
+
+#     except Exception as e:
+#         print(f"Error during DuckDuckGo search: {e}")
+#         return []
+
+# # Define tools
+# search_tool = {
+#     "type": "function",
+#     "function": {
+#         "name": "search_tool",
+#         "description": "Use this to perform search queries",
+#         "parameters": {
+#             "type": "object",
+#             "properties": {
+#                 "query": {"type": "string"},
+#             },
+#             "required": ["query"],
+#         },
+#     },
+# }
+
+
 # from duckduckgo_search import DDGS
 # from praisonai_tools import BaseTool
 # class InternetSearchTool(BaseTool):
@@ -427,11 +427,11 @@ wheels = [

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-version = "2024.8.30"
+version = "2024.12.14"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/0f/bd/1d41ee578ce09523c81a15426705dd20969f5abf006d1afe8aeff0dd776a/certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db", size = 166010 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a5/32/8f6669fc4798494966bf446c8c4a162e0b5d893dff088afddf76414f70e1/certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56", size = 164927 },
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 [[package]]
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 [[package]]
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 [[package]]
Author	SHA1	Message	Date
Mervin Praison	7948791e5c	Merge pull request #219 from MervinPraison/develop Fix manager_llm in praisonaiagents	2024-12-26 08:16:18 +00:00
MervinPraison	8e4b57fb9f	Fix manager_llm in praisonaiagents	2024-12-26 08:16:01 +00:00
Mervin Praison	a6326ceb8a	Merge pull request #216 from MervinPraison/develop adding Docs	2024-12-24 20:30:08 +00:00
MervinPraison	0fa794a3de	adding Docs	2024-12-24 20:29:51 +00:00
Mervin Praison	cf812353b5	Merge pull request #215 from MervinPraison/develop Adding Depends 10	2024-12-24 13:27:34 +00:00
MervinPraison	0eb9eb535b	Adding Depends 10	2024-12-24 13:27:11 +00:00
Mervin Praison	280a2a541f	Merge pull request #214 from MervinPraison/develop Adding Depends 9	2024-12-24 13:09:51 +00:00
MervinPraison	344ef7801a	Adding Depends 9	2024-12-24 13:09:34 +00:00
Mervin Praison	5846bbdf9a	Merge pull request #213 from MervinPraison/develop Adding Depends 8	2024-12-24 06:12:24 +00:00
MervinPraison	22a46e8dc0	Adding Depends 8	2024-12-24 06:12:02 +00:00
Mervin Praison	ec0f638bf0	Merge pull request #212 from MervinPraison/develop Adding Depends 7	2024-12-24 05:59:33 +00:00
MervinPraison	4ca8c51898	Adding Depends 7	2024-12-24 05:59:12 +00:00
Mervin Praison	f6d44508c2	Merge pull request #211 from MervinPraison/develop Adding Depends 6	2024-12-24 05:41:34 +00:00
MervinPraison	60c12b2352	Adding Depends 6	2024-12-24 05:41:09 +00:00
Mervin Praison	d2f843dc36	Merge pull request #210 from MervinPraison/develop Adding Depends 5	2024-12-24 05:31:03 +00:00
MervinPraison	2ab35f8be3	Adding Depends 5	2024-12-24 05:30:43 +00:00