diff --git a/Dockerfile b/Dockerfile index b03debe..5b9f606 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,6 +1,6 @@ FROM python:3.11-slim WORKDIR /app COPY . . -RUN pip install flask praisonai==2.0.35 gunicorn markdown +RUN pip install flask praisonai==2.0.36 gunicorn markdown EXPOSE 8080 CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"] diff --git a/agents/.cursorrules b/agents/.cursorrules new file mode 100644 index 0000000..c1af2dc --- /dev/null +++ b/agents/.cursorrules @@ -0,0 +1,6 @@ +Make it minimal change as possible + +Firstly try not to make any modification to the existing code as possible + +Only if its highly required, without that if it can't be done, then modify the existing. +So by default try to add new code section and not modify the existing. \ No newline at end of file diff --git a/agents/example2.py b/agents/example2.py deleted file mode 100644 index d3bd53b..0000000 --- a/agents/example2.py +++ /dev/null @@ -1,74 +0,0 @@ -from praisonaiagents import Agent, Task, PraisonAIAgents -from typing import List, Dict -from duckduckgo_search import DDGS - -# 1. Tool -def internet_search_tool(query: str) -> List[Dict]: - """ - Perform a search using DuckDuckGo. - - Args: - query (str): The search query. - - Returns: - list: A list of search result titles, URLs, and snippets. - """ - try: - results = [] - ddgs = DDGS() - for result in ddgs.text(keywords=query, max_results=10): - results.append({ - "title": result.get("title", ""), - "url": result.get("href", ""), - "snippet": result.get("body", "") - }) - return results - - except Exception as e: - print(f"Error during DuckDuckGo search: {e}") - return [] - -# 2. Agent -data_agent = Agent( - name="DataCollector", - role="Search Specialist", - goal="Perform internet searches to collect relevant information.", - backstory="Expert in finding and organising internet data.", - tools=[internet_search_tool], - self_reflect=False -) - -# 3. Tasks -collect_task = Task( - description="Perform an internet search using the query: 'AI job trends in 2024'. Return results as a list of title, URL, and snippet.", - expected_output="List of search results with titles, URLs, and snippets.", - agent=data_agent, - name="collect_data", - is_start=True, - next_tasks=["validate_data"] -) - -validate_task = Task( - description="""Validate the collected data. Check if: - 1. At least 5 results are returned. - 2. Each result contains a title and a URL. - Return validation_result as 'valid' or 'invalid' only no other text.""", - expected_output="Validation result indicating if data is valid or invalid.", - agent=data_agent, - name="validate_data", - task_type="decision", - condition={ - "valid": [], # End the workflow on valid data - "invalid": ["collect_data"] # Retry data collection on invalid data - }, -) - -# 4. Workflow -agents = PraisonAIAgents( - agents=[data_agent], - tasks=[collect_task, validate_task], - verbose=1, - process="workflow" -) - -agents.start() \ No newline at end of file diff --git a/agents/example_custom_tools.py b/agents/example_custom_tools.py new file mode 100644 index 0000000..969faf1 --- /dev/null +++ b/agents/example_custom_tools.py @@ -0,0 +1,151 @@ +from praisonaiagents import Agent, Task, PraisonAIAgents +from typing import List, Dict, Union +from duckduckgo_search import DDGS +from langchain_community.tools import YouTubeSearchTool +from langchain_community.utilities import WikipediaAPIWrapper + +# 1. Tool +def internet_search_tool(query: str) -> List[Dict]: + """ + Perform a search using DuckDuckGo. + + Args: + query (str): The search query. + + Returns: + list: A list of search result titles, URLs, and snippets. + """ + try: + results = [] + ddgs = DDGS() + for result in ddgs.text(keywords=query, max_results=10): + results.append({ + "title": result.get("title", ""), + "url": result.get("href", ""), + "snippet": result.get("body", "") + }) + return results + + except Exception as e: + print(f"Error during DuckDuckGo search: {e}") + return [] + +def youtube_search_tool(query: str, inspect: bool = False, max_results: int = 2): + """ + Provide a custom wrapper around the YouTubeSearchTool. + + Args: + query (str): The search query for YouTube. + inspect (bool): If True, returns tool inspection info instead of search results. + max_results (int): Maximum number of results to return (default: 2). + Returns: + Union[List[str], dict]: List of YouTube video URLs or tool inspection info. + """ + yt = YouTubeSearchTool() + + if inspect: + inspection_info = { + "type": type(yt), + "attributes": [attr for attr in dir(yt) if not attr.startswith('_')], + "methods": { + "run": getattr(yt, 'run', None), + "arun": getattr(yt, 'arun', None) + }, + "properties": { + "name": getattr(yt, 'name', 'youtube_search'), + "description": getattr(yt, 'description', 'Search YouTube videos'), + "return_direct": getattr(yt, 'return_direct', False) + } + } + return inspection_info + + # Format query with max_results + formatted_query = f"{query}, {max_results}" + return yt.run(formatted_query) + +def wikipedia_search_tool(query: str, inspect: bool = False, max_chars: int = 4000, top_k: int = 3): + """ + Provide a custom wrapper around langchain_community's WikipediaAPIWrapper. + + Args: + query (str): A search query for Wikipedia. + inspect (bool): If True, returns tool inspection info instead of search results. + max_chars (int): Maximum characters to return (default: 4000). + top_k (int): Number of top results to consider (default: 3). + Returns: + Union[str, dict]: Summary from Wikipedia or tool inspection info if inspect=True. + """ + w = WikipediaAPIWrapper( + top_k_results=top_k, + doc_content_chars_max=max_chars, + lang='en' + ) + + if inspect: + inspection_info = { + "type": type(w), + "attributes": [attr for attr in dir(w) if not attr.startswith('_')], + "methods": { + "run": getattr(w, 'run', None), + "arun": getattr(w, 'arun', None) + }, + "properties": { + "name": "wikipedia", + "description": "Search and get summaries from Wikipedia", + "top_k": w.top_k_results, + "lang": w.lang, + "max_chars": w.doc_content_chars_max + } + } + return inspection_info + + try: + result = w.run(query) + return result + except Exception as e: + return f"Error searching Wikipedia: {str(e)}" + +# 2. Agent +data_agent = Agent( + name="DataCollector", + role="Search Specialist", + goal="Perform internet searches to collect relevant information.", + backstory="Expert in finding and organizing internet data from multiple sources.", + tools=[internet_search_tool, youtube_search_tool, wikipedia_search_tool], + self_reflect=False +) + +# 3. Tasks +collect_task = Task( + description="Perform an internet search using the query: 'AI job trends in 2024'. Return results as a list of title, URL, and snippet.", + expected_output="List of search results with titles, URLs, and snippets.", + agent=data_agent, + name="collect_data", + is_start=True, + next_tasks=["validate_data"] +) + +validate_task = Task( + description="""Validate the collected data. Check if: + 1. At least 5 results are returned. + 2. Each result contains a title and a URL. + Return validation_result as 'valid' or 'invalid' only no other text.""", + expected_output="Validation result indicating if data is valid or invalid.", + agent=data_agent, + name="validate_data", + task_type="decision", + condition={ + "valid": [], # End the workflow on valid data + "invalid": ["collect_data"] # Retry data collection on invalid data + }, +) + +# 4. Workflow +agents = PraisonAIAgents( + agents=[data_agent], + tasks=[collect_task, validate_task], + verbose=1, + process="workflow" +) + +agents.start() \ No newline at end of file diff --git a/agents/example-sequential.py b/agents/example_sequential.py similarity index 100% rename from agents/example-sequential.py rename to agents/example_sequential.py diff --git a/agents/get-pip.py b/agents/get-pip.py deleted file mode 100644 index 74afb5a..0000000 --- a/agents/get-pip.py +++ /dev/null @@ -1,28535 +0,0 @@ -#!/usr/bin/env python -# -# Hi There! -# -# You may be wondering what this giant blob of binary data here is, you might -# even be worried that we're up to something nefarious (good for you for being -# paranoid!). This is a base85 encoding of a zip file, this zip file contains -# an entire copy of pip (version 24.3.1). -# -# Pip is a thing that installs packages, pip itself is a package that someone -# might want to install, especially if they're looking to run this get-pip.py -# script. Pip has a lot of code to deal with the security of installing -# packages, various edge cases on various platforms, and other such sort of -# "tribal knowledge" that has been encoded in its code base. Because of this -# we basically include an entire copy of pip inside this blob. We do this -# because the alternatives are attempt to implement a "minipip" that probably -# doesn't do things correctly and has weird edge cases, or compress pip itself -# down into a single file. -# -# If you're wondering how this is created, it is generated using -# `scripts/generate.py` in https://github.com/pypa/get-pip. - -import sys - -this_python = sys.version_info[:2] -min_version = (3, 8) -if this_python < min_version: - message_parts = [ - "This script does not work on Python {}.{}.".format(*this_python), - "The minimum supported Python version is {}.{}.".format(*min_version), - "Please use https://bootstrap.pypa.io/pip/{}.{}/get-pip.py instead.".format(*this_python), - ] - print("ERROR: " + " ".join(message_parts)) - sys.exit(1) - - -import os.path -import pkgutil -import shutil -import tempfile -import argparse -import importlib -from base64 import b85decode - - -def include_setuptools(args): - """ - Install setuptools only if absent, not excluded and when using Python <3.12. - """ - cli = not args.no_setuptools - env = not os.environ.get("PIP_NO_SETUPTOOLS") - absent = not importlib.util.find_spec("setuptools") - python_lt_3_12 = this_python < (3, 12) - return cli and env and absent and python_lt_3_12 - - -def include_wheel(args): - """ - Install wheel only if absent, not excluded and when using Python <3.12. - """ - cli = not args.no_wheel - env = not os.environ.get("PIP_NO_WHEEL") - absent = not importlib.util.find_spec("wheel") - python_lt_3_12 = this_python < (3, 12) - return cli and env and absent and python_lt_3_12 - - -def determine_pip_install_arguments(): - pre_parser = argparse.ArgumentParser() - pre_parser.add_argument("--no-setuptools", action="store_true") - pre_parser.add_argument("--no-wheel", action="store_true") - pre, args = pre_parser.parse_known_args() - - args.append("pip") - - if include_setuptools(pre): - args.append("setuptools") - - if include_wheel(pre): - args.append("wheel") - - return ["install", "--upgrade", "--force-reinstall"] + args - - -def monkeypatch_for_cert(tmpdir): - """Patches `pip install` to provide default certificate with the lowest priority. - - This ensures that the bundled certificates are used unless the user specifies a - custom cert via any of pip's option passing mechanisms (config, env-var, CLI). - - A monkeypatch is the easiest way to achieve this, without messing too much with - the rest of pip's internals. - """ - from pip._internal.commands.install import InstallCommand - - # We want to be using the internal certificates. - cert_path = os.path.join(tmpdir, "cacert.pem") - with open(cert_path, "wb") as cert: - cert.write(pkgutil.get_data("pip._vendor.certifi", "cacert.pem")) - - install_parse_args = InstallCommand.parse_args - - def cert_parse_args(self, args): - if not self.parser.get_default_values().cert: - # There are no user provided cert -- force use of bundled cert - self.parser.defaults["cert"] = cert_path # calculated above - return install_parse_args(self, args) - - InstallCommand.parse_args = cert_parse_args - - -def bootstrap(tmpdir): - monkeypatch_for_cert(tmpdir) - - # Execute the included pip and use it to install the latest pip and - # any user-requested packages from PyPI. - from pip._internal.cli.main import main as pip_entry_point - args = determine_pip_install_arguments() - sys.exit(pip_entry_point(args)) - - -def main(): - tmpdir = None - try: - # Create a temporary working directory - tmpdir = tempfile.mkdtemp() - - # Unpack the zipfile into the temporary directory - pip_zip = os.path.join(tmpdir, "pip.zip") - with open(pip_zip, "wb") as fp: - fp.write(b85decode(DATA.replace(b"\n", b""))) - - # Add the zipfile to sys.path so that we can import it - sys.path.insert(0, pip_zip) - - # Run the bootstrap - bootstrap(tmpdir=tmpdir) - finally: - # Clean up our temporary working directory - if tmpdir: - shutil.rmtree(tmpdir, ignore_errors=True) - - -DATA = b""" 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-hna%^mAVlyvwbZKlaa%FUKc`k5yP)h*<6ay3h000O81Cd)?X>2cZb8KHOaCuNm0Rj{Q6aWAK2mk|-TUkGGx4P*F004d#0 -01rk0000000000006Xs8=@KjaA|NaUv_0~WN&gWb#iQMX<{=kb#!TLFLQHjUu|J@V`yJ!Z*z2RVQpnD -aCuNm0Rj{Q6aWAK2mk|-TUoLY_qP8B008eA001Ze0000000000006XsP^%gMaA|NaUv_0~WN&gWb#iQ -MX<{=kb#!TLFLQHjbaG*Cb8v5RbS`jtP)h*<6ay3h000O81Cd)<{T7%r<_iD-xF-MrBLDyZ00000000 -00w1Jhg8US!?X>2caX>Db1b#yLpc~DCM0u%!j0000800WU*Su54(UK -bMp0N6JG03QGV00000000000JMR;zZw8=X>c!Jc4cm4Z*nhna%^mAVlyvwbZKlab#iPjaCuNm0Rj{Q6 -aWAK2mk|-TUl1rR@J`;000{m001BW0000000000006Xs5Yrj}aA|NaUv_0~WN&gWb#iQMX<{=kb#!TL -FLz;SbS`jtP)h{{00000t^uwAhlBtC4ci(3000 -""" - - -if __name__ == "__main__": - main() diff --git a/agents/langchain_example.py b/agents/langchain_example.py new file mode 100644 index 0000000..aeddca4 --- /dev/null +++ b/agents/langchain_example.py @@ -0,0 +1,30 @@ +from praisonaiagents import Agent, Task, PraisonAIAgents +from langchain_community.tools import YouTubeSearchTool +from langchain_community.utilities import WikipediaAPIWrapper + +# Create an agent with both tools +agent = Agent( + name="SearchAgent", + role="Research Assistant", + goal="Search for information from multiple sources", + backstory="I am an AI assistant that can search YouTube and Wikipedia.", + tools=[YouTubeSearchTool, WikipediaAPIWrapper], + self_reflect=False +) + +# Create tasks to demonstrate both tools +task = Task( + name="search_task", + description="Search for information about 'AI advancements' on both YouTube and Wikipedia", + expected_output="Combined information from YouTube videos and Wikipedia articles", + agent=agent +) + +# Create and start the workflow +agents = PraisonAIAgents( + agents=[agent], + tasks=[task], + verbose=True +) + +agents.start() \ No newline at end of file diff --git a/agents/langchain_logs.py b/agents/langchain_logs.py new file mode 100644 index 0000000..9f3dfd9 --- /dev/null +++ b/agents/langchain_logs.py @@ -0,0 +1,73 @@ +from langchain_community.tools import YouTubeSearchTool +from langchain_community.utilities import WikipediaAPIWrapper + +def test_tools(): + """Test both YouTube and Wikipedia tools""" + + print("\n=== Testing YouTube Search ===") + # Test YouTube + yt = YouTubeSearchTool() + + # Test basic search + print("\nBasic YouTube Search:") + query = "AI advancements 2024" + print(f"Query: {query}") + result = yt.run(query) + print(f"Results: {result}") + + # Test with max results + print("\nYouTube Search with max results:") + query = "AI advancements 2024, 3" # Format: query, max_results + print(f"Query: {query}") + result = yt.run(query) + print(f"Results: {result}") + + print("\n=== Testing Wikipedia Search ===") + # Test Wikipedia + wiki = WikipediaAPIWrapper( + top_k_results=2, + doc_content_chars_max=500 + ) + + # Test basic search + print("\nBasic Wikipedia Search:") + query = "Artificial Intelligence" + print(f"Query: {query}") + result = wiki.run(query) + print(f"Results: {result[:200]}..." if result else "No result") + + # Test with different parameters + print("\nWikipedia Search with different language:") + wiki_fr = WikipediaAPIWrapper( + lang='fr', + top_k_results=1, + doc_content_chars_max=300 + ) + result = wiki_fr.run("Intelligence Artificielle") + print(f"French Results: {result[:200]}..." if result else "No result") + +def print_tool_info(): + """Print detailed information about the tools""" + + print("\n=== Tool Information ===") + + # YouTube Tool Info + print("\nYouTube Tool:") + yt = YouTubeSearchTool() + print("Type:", type(yt)) + print("Name:", getattr(yt, 'name', None)) + print("Description:", getattr(yt, 'description', None)) + print("Arguments:", getattr(yt, 'args', None)) + + # Wikipedia Tool Info + print("\nWikipedia Tool:") + wiki = WikipediaAPIWrapper() + print("Type:", type(wiki)) + print("Available Settings:") + print("- Language:", wiki.lang) + print("- Top K Results:", wiki.top_k_results) + print("- Max Characters:", wiki.doc_content_chars_max) + +if __name__ == "__main__": + print_tool_info() + test_tools() \ No newline at end of file diff --git a/agents/praisonaiagents/agent/agent.py b/agents/praisonaiagents/agent/agent.py index 6edddb8..10ddf18 100644 --- a/agents/praisonaiagents/agent/agent.py +++ b/agents/praisonaiagents/agent/agent.py @@ -18,6 +18,7 @@ client, error_logs ) +import inspect if TYPE_CHECKING: from ..task.task import Task @@ -67,9 +68,24 @@ def _generate_tool_definition(self, function_name): return None import inspect + # Langchain tools + if inspect.isclass(func) and hasattr(func, 'run'): + original_func = func + func = func.run + function_name = original_func.__name__ + sig = inspect.signature(func) logging.debug(f"Function signature: {sig}") + # Skip self, *args, **kwargs, so they don't get passed in arguments + parameters_list = [] + for name, param in sig.parameters.items(): + if name == "self": + continue + if param.kind in (inspect.Parameter.VAR_POSITIONAL, inspect.Parameter.VAR_KEYWORD): + continue + parameters_list.append((name, param)) + parameters = { "type": "object", "properties": {}, @@ -95,7 +111,7 @@ def _generate_tool_definition(self, function_name): logging.debug(f"Parameter descriptions: {param_descriptions}") - for name, param in sig.parameters.items(): + for name, param in parameters_list: param_type = "string" # Default type if param.annotation != inspect.Parameter.empty: if param.annotation == int: @@ -249,25 +265,31 @@ def execute_tool(self, function_name, arguments): # Try to find the function in the agent's tools list first func = None for tool in self.tools: - if callable(tool) and getattr(tool, '__name__', '') == function_name: + if (callable(tool) and getattr(tool, '__name__', '') == function_name) or \ + (inspect.isclass(tool) and tool.__name__ == function_name): func = tool break - logging.debug(f"Looking for {function_name} in agent tools: {func is not None}") - - # If not found in tools, try globals and main - if not func: + if func is None: + # If not found in tools, try globals and main func = globals().get(function_name) - logging.debug(f"Looking for {function_name} in globals: {func is not None}") - if not func: import __main__ func = getattr(__main__, function_name, None) - logging.debug(f"Looking for {function_name} in __main__: {func is not None}") - if func and callable(func): + if func: try: - return func(**arguments) + # If it's a class with run method, instantiate and call run + if inspect.isclass(func) and hasattr(func, 'run'): + instance = func() + # Extract only the parameters that run() expects + run_params = {k: v for k, v in arguments.items() + if k in inspect.signature(instance.run).parameters + and k != 'self'} + return instance.run(**run_params) + # Otherwise treat as regular function + elif callable(func): + return func(**arguments) except Exception as e: error_msg = str(e) logging.error(f"Error executing tool {function_name}: {error_msg}") diff --git a/agents/pyproject.toml b/agents/pyproject.toml index a8f4314..bd5bb53 100644 --- a/agents/pyproject.toml +++ b/agents/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "praisonaiagents" -version = "0.0.26" +version = "0.0.27" description = "Praison AI agents for completing complex tasks with Self Reflection Agents" authors = [ { name="Mervin Praison" } diff --git a/agents/uv.lock b/agents/uv.lock index 2e8d3ec..a6addd5 100644 --- a/agents/uv.lock +++ b/agents/uv.lock @@ -186,7 +186,7 @@ wheels = [ [[package]] name = "praisonaiagents" -version = "0.0.26" +version = "0.0.27" source = { editable = "." } dependencies = [ { name = "openai" }, diff --git a/docs/api/praisonai/deploy.html b/docs/api/praisonai/deploy.html index 425a2ee..2df8d09 100644 --- a/docs/api/praisonai/deploy.html +++ b/docs/api/praisonai/deploy.html @@ -110,7 +110,7 @@

      Raises

      file.write("FROM python:3.11-slim\n") file.write("WORKDIR /app\n") file.write("COPY . .\n") - file.write("RUN pip install flask praisonai==2.0.35 gunicorn markdown\n") + file.write("RUN pip install flask praisonai==2.0.36 gunicorn markdown\n") file.write("EXPOSE 8080\n") file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n') diff --git a/docs/tools/arxiv_tools.mdx b/docs/tools/arxiv_tools.mdx index 2ca0a20..7215bc2 100644 --- a/docs/tools/arxiv_tools.mdx +++ b/docs/tools/arxiv_tools.mdx @@ -1,7 +1,7 @@ --- -title: "arXiv Tools" -description: "Scientific paper search and retrieval tools for AI agents." -icon: "book" +title: "arXiv Agent" +description: "arXiv research paper search and analysis tools for AI agents." +icon: "book-open" --- @@ -11,9 +11,9 @@ icon: "book" - `arxiv` package installed -## Quick Start +## arXiv Tools -Use arXiv Tools to search and retrieve scientific papers with AI agents. +Use arXiv Tools to search and analyze research papers with AI agents. diff --git a/docs/tools/calculator_tools.mdx b/docs/tools/calculator_tools.mdx index 9a0a29e..e2dd187 100644 --- a/docs/tools/calculator_tools.mdx +++ b/docs/tools/calculator_tools.mdx @@ -1,294 +1,216 @@ --- -title: "Calculator Tools" -description: "Tools for performing mathematical calculations, unit conversions, and financial computations." +title: "Calculator Agent" +description: "Mathematical calculation tools for AI agents." +icon: "calculator" --- -## Available Functions - -```python -from praisonaiagents.tools import ( - evaluate, solve_equation, convert_units, - calculate_statistics, calculate_financial -) -``` - -## Example Code - -```python -from praisonaiagents import Agent, Task, PraisonAIAgents -from praisonaiagents.tools import ( - evaluate, solve_equation, convert_units, - calculate_statistics, calculate_financial -) - -agent = Agent( - name="MathAssistant", - tools=[ + + **Prerequisites** + - Python 3.10 or higher + - PraisonAI Agents package installed + - `sympy` and `pint` packages installed + + +## Calculator Tools + +Use Calculator Tools to perform mathematical calculations with AI agents. + + + + First, install the required packages: + ```bash + pip install praisonaiagents sympy pint + ``` + + + + Import the necessary components: + ```python + from praisonaiagents import Agent, Task, PraisonAIAgents + from praisonaiagents.tools import ( evaluate, solve_equation, convert_units, calculate_statistics, calculate_financial - ] -) - -task = Task( - description="Calculate the area of a circle with radius 5", - expected_output="The area of the circle is 78.54 square units", - agent=agent, - name="calculate_circle_area" -) - - -# Run agent -agents = PraisonAIAgents( - agents=[agent], - tasks=[task], - process="sequential" -) -agents.start() -``` - -## Function Details - -### evaluate(expression: str, variables: Optional[Dict[str, float]] = None, precision: int = 10) - -Evaluate mathematical expressions: -- Basic arithmetic -- Mathematical functions -- Variable substitution -- Precision control -- Error handling - -```python -# Basic arithmetic -result = evaluate("2 + 2 * 3") - -# Complex expressions -result = evaluate( - "sin(pi/2) + sqrt(16)", - precision=5 -) - -# With variables -result = evaluate( - "x^2 + y", - variables={"x": 3, "y": 4} -) - -# Returns: Dict[str, Any] -# Example output: -# { -# "result": 8.0 -# } -# or -# { -# "error": "Invalid expression" -# } -``` - -### solve_equation(equation: str, variable: str = 'x') - -Solve mathematical equations: -- Linear equations -- Quadratic equations -- Polynomial equations -- Real solutions -- Error handling - -```python -# Linear equation -result = solve_equation("2*x + 3 = 7") - -# Quadratic equation -result = solve_equation( - "x^2 - 5*x + 6 = 0" -) - -# Custom variable -result = solve_equation( - "y^2 = 4", - variable='y' -) - -# Returns: Dict[str, Any] -# Example output: -# { -# "solutions": [2.0, 3.0] -# } -# or -# { -# "error": "No real solutions found" -# } -``` - -### convert_units(value: float, from_unit: str, to_unit: str) - -Convert between units: -- Length units -- Mass units -- Temperature units -- Time units -- Error handling - -```python -# Length conversion -result = convert_units(100, "meters", "kilometers") - -# Temperature conversion -result = convert_units(32, "fahrenheit", "celsius") - -# Time conversion -result = convert_units( - 2.5, - "hours", - "minutes" -) - -# Returns: Dict[str, Any] -# Example output: -# { -# "result": 0.1 # 100 meters = 0.1 kilometers -# } -# or -# { -# "error": "Invalid units" -# } -``` - -### calculate_statistics(numbers: List[float]) - -Calculate statistical metrics: -- Mean -- Median -- Standard deviation -- Variance -- Range -- Min/Max values - -```python -# Basic statistics -result = calculate_statistics([1, 2, 3, 4, 5]) - -# Returns: Dict[str, Any] -# Example output: -# { -# "mean": 3.0, -# "median": 3.0, -# "std_dev": 1.58, -# "variance": 2.5, -# "min": 1.0, -# "max": 5.0, -# "range": 4.0, -# "count": 5 -# } -``` - -### calculate_financial(principal: float, rate: float, time: float, frequency: str = 'yearly') - -Calculate financial metrics: -- Compound interest -- Simple interest -- Interest comparison -- Multiple frequencies - -```python -# Basic compound interest -result = calculate_financial(1000, 5, 2) # $1000, 5%, 2 years - -# Monthly compounding -result = calculate_financial( - principal=1000, - rate=5, - time=2, - frequency='monthly' -) - -# Returns: Dict[str, Any] -# Example output: -# { -# "final_amount": 1102.50, -# "compound_interest": 102.50, -# "simple_interest": 100.00, -# "difference": 2.50 -# } -``` - -## Example Agent Configuration - -```python -from praisonaiagents import Agent -from praisonaiagents.tools import ( - evaluate, solve_equation, convert_units, - calculate_statistics, calculate_financial -) - -agent = Agent( - name="MathAssistant", - description="An agent that helps with mathematical calculations", - tools=[ - evaluate, solve_equation, convert_units, - calculate_statistics, calculate_financial - ] -) -``` - -## Dependencies - -The calculator tools require the following packages: -- sympy: For equation solving and symbolic mathematics -- pint: For unit conversions - -These will be automatically installed when needed. - -## Supported Features - -### Mathematical Functions -- Basic: +, -, *, /, ^ -- Trigonometric: sin, cos, tan -- Roots: sqrt -- Logarithmic: log, exp -- Constants: pi, e - -### Unit Categories -- Length: meters, kilometers, miles, etc. -- Mass: grams, kilograms, pounds, etc. -- Temperature: celsius, fahrenheit, kelvin -- Time: seconds, minutes, hours, days -- Many more via the pint library - -### Financial Frequencies -- yearly -- semi-annual -- quarterly -- monthly -- daily - -## Common Use Cases - -1. Scientific Calculations: -```python -# Complex mathematical expressions -gravity = evaluate("9.81 * sin(pi/4)^2") -kinetic = evaluate( - "0.5 * m * v^2", - variables={"m": 10, "v": 5} -) -``` - -2. Unit Conversions: -```python -# Multiple conversions -distances = { - "marathon": convert_units(42.195, "kilometers", "miles"), - "height": convert_units(180, "centimeters", "feet"), - "weight": convert_units(75, "kilograms", "pounds") -} -``` - -3. Investment Analysis: -```python -# Compare investment strategies -investments = { - "conservative": calculate_financial(10000, 3, 5, "yearly"), - "moderate": calculate_financial(10000, 5, 5, "quarterly"), - "aggressive": calculate_financial(10000, 8, 5, "monthly") -} -``` + ) + ``` + + + + Create a calculator agent: + ```python + calculator_agent = Agent( + name="MathAssistant", + role="Mathematical Computation Specialist", + goal="Perform accurate mathematical calculations and solve equations.", + backstory="Expert in mathematical computations and problem-solving.", + tools=[ + evaluate, solve_equation, convert_units, + calculate_statistics, calculate_financial + ], + self_reflect=False + ) + ``` + + + + Define the calculation task: + ```python + calc_task = Task( + description="Calculate the area of a circle with radius 5", + expected_output="The area of the circle in square units", + agent=calculator_agent, + name="circle_area" + ) + ``` + + + + Initialize and run the agent: + ```python + agents = PraisonAIAgents( + agents=[calculator_agent], + tasks=[calc_task], + process="sequential" + ) + agents.start() + ``` + + + +## Understanding Calculator Tools + + + Calculator Tools provide mathematical computation capabilities for AI agents: + - Expression evaluation + - Equation solving + - Unit conversions + - Support for mathematical functions + - Variable substitution + + +## Key Components + + + + Evaluate mathematical expressions: + ```python + result = evaluate("2 + 2 * 3") + ``` + + + Solve mathematical equations: + ```python + result = solve_equation("2*x + 3 = 7") + ``` + + + Convert between units: + ```python + result = convert_units(100, "meters", "kilometers") + ``` + + + Calculate statistical metrics: + ```python + result = calculate_statistics([1, 2, 3, 4, 5]) + ``` + + + Calculate financial metrics: + ```python + result = calculate_financial(1000, 5, 2) + ``` + + + +## Advanced Usage + + + + Evaluate complex mathematical expressions with variables: + ```python + # Basic arithmetic + result = evaluate("2 + 2 * 3") + + # With mathematical functions + result = evaluate("sin(pi/2) + sqrt(16)") + + # With variables + result = evaluate( + "x^2 + y", + variables={"x": 3, "y": 4} + ) + ``` + + + + Solve different types of equations: + ```python + # Linear equation + result = solve_equation("2*x + 3 = 7") + + # With custom variable + result = solve_equation("y^2 = 4", variable="y") + ``` + + + + Convert between different units: + ```python + # Length conversion + result = convert_units(100, "meters", "kilometers") + + # Temperature conversion + result = convert_units(32, "fahrenheit", "celsius") + + # Time conversion + result = convert_units(2.5, "hours", "minutes") + ``` + + + + Calculate statistical metrics: + ```python + result = calculate_statistics([1, 2, 3, 4, 5]) + ``` + + + + Calculate financial metrics: + ```python + result = calculate_financial(1000, 5, 2) + ``` + + + +## Error Handling + + + The tools include comprehensive error handling: + ```python + # Returns success result + {"result": 8.0} + + # Returns error message + {"error": "Invalid expression"} + ``` + + +## Best Practices + + + + Control calculation precision: + ```python + evaluate( + "pi", + precision=5 + ) + ``` + + + Uses safe evaluation environment with: + - Restricted builtins + - Mathematical functions only + - Variable validation + + diff --git a/docs/tools/csv_tools.mdx b/docs/tools/csv_tools.mdx index 9ce3186..102eb4e 100644 --- a/docs/tools/csv_tools.mdx +++ b/docs/tools/csv_tools.mdx @@ -1,6 +1,6 @@ --- -title: "CSV Tools" -description: "Tools for working with CSV files in AI agents." +title: "CSV Agent" +description: "CSV file processing tools for AI agents." icon: "file-csv" --- @@ -8,12 +8,12 @@ icon: "file-csv" **Prerequisites** - Python 3.10 or higher - PraisonAI Agents package installed - - Basic understanding of CSV files + - `pandas` package installed -## Quick Start +## CSV Tools -Use CSV Tools to process and manipulate CSV files with AI agents. +Use CSV Tools to read, write, and manipulate CSV files with AI agents. diff --git a/docs/tools/duckdb_tools.mdx b/docs/tools/duckdb_tools.mdx index 9348c44..eb1431f 100644 --- a/docs/tools/duckdb_tools.mdx +++ b/docs/tools/duckdb_tools.mdx @@ -1,6 +1,7 @@ --- -title: "DuckDB Tools" -description: "Tools for working with DuckDB databases in AI agents." +title: "DuckDB Agent" +description: "DuckDB database tools for AI agents." +icon: "database" --- @@ -11,7 +12,7 @@ description: "Tools for working with DuckDB databases in AI agents." - Basic understanding of SQL and databases -## Quick Start +## DuckDB Tools Use DuckDB Tools to manage and query databases with AI agents. diff --git a/docs/tools/duckduckgo_tools.mdx b/docs/tools/duckduckgo_tools.mdx index fb6e3af..fafc669 100644 --- a/docs/tools/duckduckgo_tools.mdx +++ b/docs/tools/duckduckgo_tools.mdx @@ -1,5 +1,5 @@ --- -title: "DuckDuckGo Tools" +title: "DuckDuckGo Agent" description: "Internet search tools using DuckDuckGo for AI agents." icon: "magnifying-glass" --- @@ -11,7 +11,7 @@ icon: "magnifying-glass" - `duckduckgo-search` package installed -## Quick Start +## DuckDuckGo Tools Use DuckDuckGo Tools to perform internet searches with AI agents. diff --git a/docs/tools/excel_tools.mdx b/docs/tools/excel_tools.mdx index f9f62ad..108f691 100644 --- a/docs/tools/excel_tools.mdx +++ b/docs/tools/excel_tools.mdx @@ -1,6 +1,7 @@ --- -title: "Excel Tools" -description: "Tools for working with Excel files in AI agents." +title: "Excel Agent" +description: "Excel file processing tools for AI agents." +icon: "file-excel" --- @@ -11,7 +12,7 @@ description: "Tools for working with Excel files in AI agents." - Basic understanding of Excel files -## Quick Start +## Excel Tools Use Excel Tools to process and manipulate Excel files with AI agents. @@ -314,8 +315,7 @@ agents.start() Define specific Excel operations: ```python Task( - description="Process sales data and generate reports", - expected_output="Sales analysis report" + description="Process sales data and generate reports" ) ``` @@ -438,3 +438,5 @@ processed = { # Write back to new file write_excel("processed_data.xlsx", processed) + +``` diff --git a/docs/tools/file_tools.mdx b/docs/tools/file_tools.mdx index 4bebb71..b5b11c4 100644 --- a/docs/tools/file_tools.mdx +++ b/docs/tools/file_tools.mdx @@ -1,6 +1,7 @@ --- -title: "File Tools" -description: "Basic file operation tools for AI agents." +title: "File Agent" +description: "File system operation tools for AI agents." +icon: "folder" --- @@ -10,9 +11,9 @@ description: "Basic file operation tools for AI agents." - Basic understanding of file operations -## Quick Start +## File Tools -Use File Tools to manage files and directories with AI agents. +Use File Tools to perform file system operations with AI agents. diff --git a/docs/tools/json_tools.mdx b/docs/tools/json_tools.mdx index 8c23a42..a9dad47 100644 --- a/docs/tools/json_tools.mdx +++ b/docs/tools/json_tools.mdx @@ -1,6 +1,7 @@ --- -title: "JSON Tools" -description: "Tools for working with JSON files in AI agents." +title: "JSON Agent" +description: "JSON data processing tools for AI agents." +icon: "braces" --- @@ -10,7 +11,7 @@ description: "Tools for working with JSON files in AI agents." - Basic understanding of JSON format -## Quick Start +## JSON Tools Use JSON Tools to process and manipulate JSON files with AI agents. diff --git a/docs/tools/newspaper_tools.mdx b/docs/tools/newspaper_tools.mdx index 012e3d3..ef6dcc7 100644 --- a/docs/tools/newspaper_tools.mdx +++ b/docs/tools/newspaper_tools.mdx @@ -1,6 +1,6 @@ --- -title: "Newspaper Tools" -description: "News article scraping and analysis tools for AI agents." +title: "Newspaper Agent" +description: "News article extraction tools for AI agents." icon: "newspaper" --- @@ -11,9 +11,9 @@ icon: "newspaper" - `newspaper3k` package installed -## Quick Start +## Newspaper Tools -Use Newspaper Tools to scrape and analyze news articles with AI agents. +Use Newspaper Tools to extract and analyze news articles with AI agents. diff --git a/docs/tools/pandas_tools.mdx b/docs/tools/pandas_tools.mdx index 1984d18..2475a43 100644 --- a/docs/tools/pandas_tools.mdx +++ b/docs/tools/pandas_tools.mdx @@ -1,6 +1,6 @@ --- -title: "Pandas Tools" -description: "Data manipulation and analysis tools for AI agents using pandas." +title: "Pandas Agent" +description: "Pandas data manipulation tools for AI agents." icon: "table" --- @@ -11,7 +11,7 @@ icon: "table" - `pandas` package installed -## Quick Start +## Pandas Tools Use Pandas Tools to manipulate and analyze data with AI agents. diff --git a/docs/tools/python_tools.mdx b/docs/tools/python_tools.mdx index 134b24e..4f1e7ce 100644 --- a/docs/tools/python_tools.mdx +++ b/docs/tools/python_tools.mdx @@ -1,6 +1,7 @@ --- -title: "Python Tools" -description: "Tools for Python code execution, analysis, and formatting in AI agents." +title: "Python Agent" +description: "Python code execution tools for AI agents." +icon: "code" --- @@ -10,7 +11,7 @@ description: "Tools for Python code execution, analysis, and formatting in AI ag - Basic understanding of Python programming -## Quick Start +## Python Tools Use Python Tools to execute and manage Python code with AI agents. diff --git a/docs/tools/shell_tools.mdx b/docs/tools/shell_tools.mdx index 5d5f0ab..47c9de7 100644 --- a/docs/tools/shell_tools.mdx +++ b/docs/tools/shell_tools.mdx @@ -1,6 +1,7 @@ --- -title: "Shell Tools" -description: "Tools for executing shell commands and managing system processes in AI agents." +title: "Shell Agent" +description: "Shell command execution tools for AI agents." +icon: "terminal" --- @@ -10,9 +11,9 @@ description: "Tools for executing shell commands and managing system processes i - Basic understanding of shell commands -## Quick Start +## Shell Tools -Use Shell Tools to execute and manage shell commands with AI agents. +Use Shell Tools to execute shell commands with AI agents. diff --git a/docs/tools/spider_tools.mdx b/docs/tools/spider_tools.mdx index 8e008e7..749192d 100644 --- a/docs/tools/spider_tools.mdx +++ b/docs/tools/spider_tools.mdx @@ -1,6 +1,6 @@ --- -title: "Spider Tools" -description: "Web scraping and crawling tools for AI agents." +title: "Spider Agent" +description: "Web scraping tools for AI agents." icon: "spider" --- @@ -8,19 +8,18 @@ icon: "spider" **Prerequisites** - Python 3.10 or higher - PraisonAI Agents package installed - - `beautifulsoup4` package installed - - `requests` package installed + - `scrapy` package installed -## Quick Start +## Spider Tools -Use Spider Tools to scrape and crawl web content with AI agents. +Use Spider Tools to crawl and scrape web content with AI agents. First, install the required packages: ```bash - pip install praisonaiagents beautifulsoup4 requests + pip install praisonaiagents scrapy ``` diff --git a/docs/tools/wikipedia_tools.mdx b/docs/tools/wikipedia_tools.mdx index 90e91fb..60eb6a5 100644 --- a/docs/tools/wikipedia_tools.mdx +++ b/docs/tools/wikipedia_tools.mdx @@ -1,5 +1,5 @@ --- -title: "Wikipedia Tools" +title: "Wikipedia Agent" description: "Wikipedia data retrieval tools for AI agents." icon: "book" --- @@ -12,7 +12,7 @@ icon: "book" - Basic understanding of Wikipedia APIs -## Quick Start +## Wikipedia Tools Use Wikipedia Tools to retrieve and analyze Wikipedia content with AI agents. diff --git a/docs/tools/xml_tools.mdx b/docs/tools/xml_tools.mdx index 37f47d5..9f502a6 100644 --- a/docs/tools/xml_tools.mdx +++ b/docs/tools/xml_tools.mdx @@ -1,6 +1,6 @@ --- -title: "XML Tools" -description: "XML file processing tools for AI agents." +title: "XML Agent" +description: "XML data processing tools for AI agents." icon: "code" --- @@ -8,12 +8,12 @@ icon: "code" **Prerequisites** - Python 3.10 or higher - PraisonAI Agents package installed - - Basic understanding of XML format + - `lxml` package installed -## Quick Start +## XML Tools -Use XML Tools to process and manipulate XML files with AI agents. +Use XML Tools to read, write, and manipulate XML data with AI agents. diff --git a/docs/tools/yaml_tools.mdx b/docs/tools/yaml_tools.mdx index 1ab41c7..4764d68 100644 --- a/docs/tools/yaml_tools.mdx +++ b/docs/tools/yaml_tools.mdx @@ -1,7 +1,7 @@ --- -title: "YAML Tools" -description: "YAML file processing tools for AI agents." -icon: "file-code" +title: "YAML Agent" +description: "YAML data processing tools for AI agents." +icon: "code" --- @@ -12,7 +12,7 @@ icon: "file-code" - Basic understanding of YAML format -## Quick Start +## YAML Tools Use YAML Tools to process and manipulate YAML files with AI agents. diff --git a/docs/tools/yfinance_tools.mdx b/docs/tools/yfinance_tools.mdx index b7f2cc4..1c69c9c 100644 --- a/docs/tools/yfinance_tools.mdx +++ b/docs/tools/yfinance_tools.mdx @@ -1,5 +1,5 @@ --- -title: "YFinance Tools" +title: "YFinance Agent" description: "Yahoo Finance data retrieval tools for AI agents." icon: "chart-line" --- @@ -12,7 +12,7 @@ icon: "chart-line" - 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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." readme = "README.md" license = "" @@ -12,7 +12,7 @@ dependencies = [ "rich>=13.7", "markdown>=3.5", "pyparsing>=3.0.0", - "praisonaiagents>=0.0.26", + "praisonaiagents>=0.0.27", "python-dotenv>=0.19.0", "instructor>=1.3.3", "PyYAML>=6.0", @@ -84,7 +84,7 @@ autogen = ["pyautogen>=0.2.19", "praisonai-tools>=0.0.7", "crewai"] [tool.poetry] name = "PraisonAI" -version = "2.0.35" +version = "2.0.36" description = "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." authors = ["Mervin Praison"] license = "" @@ -102,7 +102,7 @@ python = ">=3.10,<3.13" rich = ">=13.7" markdown = ">=3.5" pyparsing = ">=3.0.0" -praisonaiagents = ">=0.0.26" +praisonaiagents = ">=0.0.27" python-dotenv = ">=0.19.0" instructor = ">=1.3.3" PyYAML = ">=6.0" diff --git a/uv.lock b/uv.lock index d24a9f3..83a7876 100644 --- a/uv.lock +++ b/uv.lock @@ -3061,7 +3061,7 @@ wheels = [ [[package]] name = "praisonai" -version = "2.0.34" +version = "2.0.36" source = { editable = "." } dependencies = [ { name = "instructor" }, @@ -3198,7 +3198,7 @@ requires-dist = [ { name = "plotly", marker = "extra == 'realtime'", specifier = ">=5.24.0" }, { name = "praisonai-tools", marker = "extra == 'autogen'", specifier = ">=0.0.7" }, { name = "praisonai-tools", marker = "extra == 'crewai'", specifier = ">=0.0.7" }, - { name = "praisonaiagents", specifier = ">=0.0.25" }, + { name = "praisonaiagents", specifier = ">=0.0.27" }, { name = "pyautogen", marker = "extra == 'autogen'", specifier = ">=0.2.19" }, { name = "pydantic", marker = "extra == 'chat'", specifier = "<=2.10.1" }, { name = "pydantic", marker = "extra == 'code'", specifier = "<=2.10.1" }, @@ -3251,16 +3251,16 @@ wheels = [ [[package]] name = "praisonaiagents" -version = "0.0.25" +version = "0.0.27" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "openai" }, { name = "pydantic" }, { name = "rich" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/6c/9c/07a6fd1d939eb98ae6399fb16aad870f16dba7ab5d64825af2420a46c09b/praisonaiagents-0.0.25.tar.gz", hash = "sha256:2ef1292fa5e0a5dc5d1b982670f3d0c6bb1cd9c59febbcbe6c2b8af5fa21ca43", size = 61241 } +sdist = { url = "https://files.pythonhosted.org/packages/05/c9/b368dc9c23e9d0df0b2d427055b71e842beebc15e3d005520b52baf05481/praisonaiagents-0.0.27.tar.gz", hash = "sha256:a195a8ea902ef437cc2ba8a6cac4ff76d7c4a208ef387ff69e752343e53ce104", size = 61683 } wheels = [ - { url = "https://files.pythonhosted.org/packages/50/78/1ab28fe9e32f2d765052b3870532238f6c4a72a98168b73b443d76c0235f/praisonaiagents-0.0.25-py3-none-any.whl", hash = "sha256:5b0cf04f294d81dbee8be855fc7026cc190a05b1d169e286eb7e387b8f8bd7de", size = 80127 }, + { url = "https://files.pythonhosted.org/packages/0d/63/b4b45c943c78b1818cec8b2dd92b3fdea36075eb5e323c8ca22e917ca75e/praisonaiagents-0.0.27-py3-none-any.whl", hash = "sha256:3404a186f2be2dfed0b56efec613896f4306f5589dc65d4b3f7034b0401d7593", size = 80590 }, ] [[package]]

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