Merge branch 'kyegomez:master' into feat/communication_supabase

docs/swarms/tools/tools_examples.md

@@ -296,9 +296,13 @@ print(response)
 ## Method 2: MCP (Model Context Protocol) Servers
 
 MCP servers provide a standardized way to create distributed tool functionality. They're ideal for:
+
 - **Reusable tools** across multiple agents
+
 - **Complex tool logic** that needs isolation
+
 - **Third-party tool integration**
+
 - **Scalable architectures**
 
 ### Step 1: Create Your MCP Server

examples/tools/multii_tool_use/many_tool_use_demo.py

@@ -0,0 +1,448 @@
+import json
+import requests
+from swarms import Agent
+from typing import List
+import time
+
+
+def get_coin_price(coin_id: str, vs_currency: str) -> str:
+    """
+    Get the current price of a specific cryptocurrency.
+
+    Args:
+        coin_id (str): The CoinGecko ID of the cryptocurrency (e.g., 'bitcoin', 'ethereum')
+        vs_currency (str, optional): The target currency. Defaults to "usd".
+
+    Returns:
+        str: JSON formatted string containing the coin's current price and market data
+
+    Raises:
+        requests.RequestException: If the API request fails
+
+    Example:
+        >>> result = get_coin_price("bitcoin")
+        >>> print(result)
+        {"bitcoin": {"usd": 45000, "usd_market_cap": 850000000000, ...}}
+    """
+    try:
+        url = "https://api.coingecko.com/api/v3/simple/price"
+        params = {
+            "ids": coin_id,
+            "vs_currencies": vs_currency,
+            "include_market_cap": True,
+            "include_24hr_vol": True,
+            "include_24hr_change": True,
+            "include_last_updated_at": True,
+        }
+
+        response = requests.get(url, params=params, timeout=10)
+        response.raise_for_status()
+
+        data = response.json()
+        return json.dumps(data, indent=2)
+
+    except requests.RequestException as e:
+        return json.dumps(
+            {
+                "error": f"Failed to fetch price for {coin_id}: {str(e)}"
+            }
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+def get_top_cryptocurrencies(limit: int, vs_currency: str) -> str:
+    """
+    Fetch the top cryptocurrencies by market capitalization.
+
+    Args:
+        limit (int, optional): Number of coins to retrieve (1-250). Defaults to 10.
+        vs_currency (str, optional): The target currency. Defaults to "usd".
+
+    Returns:
+        str: JSON formatted string containing top cryptocurrencies with detailed market data
+
+    Raises:
+        requests.RequestException: If the API request fails
+        ValueError: If limit is not between 1 and 250
+
+    Example:
+        >>> result = get_top_cryptocurrencies(5)
+        >>> print(result)
+        [{"id": "bitcoin", "name": "Bitcoin", "current_price": 45000, ...}]
+    """
+    try:
+        if not 1 <= limit <= 250:
+            raise ValueError("Limit must be between 1 and 250")
+
+        url = "https://api.coingecko.com/api/v3/coins/markets"
+        params = {
+            "vs_currency": vs_currency,
+            "order": "market_cap_desc",
+            "per_page": limit,
+            "page": 1,
+            "sparkline": False,
+            "price_change_percentage": "24h,7d",
+        }
+
+        response = requests.get(url, params=params, timeout=10)
+        response.raise_for_status()
+
+        data = response.json()
+
+        # Simplify the data structure for better readability
+        simplified_data = []
+        for coin in data:
+            simplified_data.append(
+                {
+                    "id": coin.get("id"),
+                    "symbol": coin.get("symbol"),
+                    "name": coin.get("name"),
+                    "current_price": coin.get("current_price"),
+                    "market_cap": coin.get("market_cap"),
+                    "market_cap_rank": coin.get("market_cap_rank"),
+                    "total_volume": coin.get("total_volume"),
+                    "price_change_24h": coin.get(
+                        "price_change_percentage_24h"
+                    ),
+                    "price_change_7d": coin.get(
+                        "price_change_percentage_7d_in_currency"
+                    ),
+                    "last_updated": coin.get("last_updated"),
+                }
+            )
+
+        return json.dumps(simplified_data, indent=2)
+
+    except (requests.RequestException, ValueError) as e:
+        return json.dumps(
+            {
+                "error": f"Failed to fetch top cryptocurrencies: {str(e)}"
+            }
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+def search_cryptocurrencies(query: str) -> str:
+    """
+    Search for cryptocurrencies by name or symbol.
+
+    Args:
+        query (str): The search term (coin name or symbol)
+
+    Returns:
+        str: JSON formatted string containing search results with coin details
+
+    Raises:
+        requests.RequestException: If the API request fails
+
+    Example:
+        >>> result = search_cryptocurrencies("ethereum")
+        >>> print(result)
+        {"coins": [{"id": "ethereum", "name": "Ethereum", "symbol": "eth", ...}]}
+    """
+    try:
+        url = "https://api.coingecko.com/api/v3/search"
+        params = {"query": query}
+
+        response = requests.get(url, params=params, timeout=10)
+        response.raise_for_status()
+
+        data = response.json()
+
+        # Extract and format the results
+        result = {
+            "coins": data.get("coins", [])[
+                :10
+            ],  # Limit to top 10 results
+            "query": query,
+            "total_results": len(data.get("coins", [])),
+        }
+
+        return json.dumps(result, indent=2)
+
+    except requests.RequestException as e:
+        return json.dumps(
+            {"error": f'Failed to search for "{query}": {str(e)}'}
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+def get_jupiter_quote(
+    input_mint: str,
+    output_mint: str,
+    amount: float,
+    slippage: float = 0.5,
+) -> str:
+    """
+    Get a quote for token swaps using Jupiter Protocol on Solana.
+
+    Args:
+        input_mint (str): Input token mint address
+        output_mint (str): Output token mint address
+        amount (float): Amount of input tokens to swap
+        slippage (float, optional): Slippage tolerance percentage. Defaults to 0.5.
+
+    Returns:
+        str: JSON formatted string containing the swap quote details
+
+    Example:
+        >>> result = get_jupiter_quote("SOL_MINT_ADDRESS", "USDC_MINT_ADDRESS", 1.0)
+        >>> print(result)
+        {"inputAmount": "1000000000", "outputAmount": "22.5", "route": [...]}
+    """
+    try:
+        url = "https://lite-api.jup.ag/swap/v1/quote"
+        params = {
+            "inputMint": input_mint,
+            "outputMint": output_mint,
+            "amount": str(int(amount * 1e9)),  # Convert to lamports
+            "slippageBps": int(slippage * 100),
+        }
+
+        response = requests.get(url, params=params, timeout=10)
+        response.raise_for_status()
+        return json.dumps(response.json(), indent=2)
+
+    except requests.RequestException as e:
+        return json.dumps(
+            {"error": f"Failed to get Jupiter quote: {str(e)}"}
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+def get_htx_market_data(symbol: str) -> str:
+    """
+    Get market data for a trading pair from HTX exchange.
+
+    Args:
+        symbol (str): Trading pair symbol (e.g., 'btcusdt', 'ethusdt')
+
+    Returns:
+        str: JSON formatted string containing market data
+
+    Example:
+        >>> result = get_htx_market_data("btcusdt")
+        >>> print(result)
+        {"symbol": "btcusdt", "price": "45000", "volume": "1000000", ...}
+    """
+    try:
+        url = "https://api.htx.com/market/detail/merged"
+        params = {"symbol": symbol.lower()}
+
+        response = requests.get(url, params=params, timeout=10)
+        response.raise_for_status()
+        return json.dumps(response.json(), indent=2)
+
+    except requests.RequestException as e:
+        return json.dumps(
+            {"error": f"Failed to fetch HTX market data: {str(e)}"}
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+def get_token_historical_data(
+    token_id: str, days: int = 30, vs_currency: str = "usd"
+) -> str:
+    """
+    Get historical price and market data for a cryptocurrency.
+
+    Args:
+        token_id (str): The CoinGecko ID of the cryptocurrency
+        days (int, optional): Number of days of historical data. Defaults to 30.
+        vs_currency (str, optional): The target currency. Defaults to "usd".
+
+    Returns:
+        str: JSON formatted string containing historical price and market data
+
+    Example:
+        >>> result = get_token_historical_data("bitcoin", 7)
+        >>> print(result)
+        {"prices": [[timestamp, price], ...], "market_caps": [...], "volumes": [...]}
+    """
+    try:
+        url = f"https://api.coingecko.com/api/v3/coins/{token_id}/market_chart"
+        params = {
+            "vs_currency": vs_currency,
+            "days": days,
+            "interval": "daily",
+        }
+
+        response = requests.get(url, params=params, timeout=10)
+        response.raise_for_status()
+        return json.dumps(response.json(), indent=2)
+
+    except requests.RequestException as e:
+        return json.dumps(
+            {"error": f"Failed to fetch historical data: {str(e)}"}
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+def get_defi_stats() -> str:
+    """
+    Get global DeFi statistics including TVL, trading volumes, and dominance.
+
+    Returns:
+        str: JSON formatted string containing global DeFi statistics
+
+    Example:
+        >>> result = get_defi_stats()
+        >>> print(result)
+        {"total_value_locked": 50000000000, "defi_dominance": 15.5, ...}
+    """
+    try:
+        url = "https://api.coingecko.com/api/v3/global/decentralized_finance_defi"
+        response = requests.get(url, timeout=10)
+        response.raise_for_status()
+        return json.dumps(response.json(), indent=2)
+
+    except requests.RequestException as e:
+        return json.dumps(
+            {"error": f"Failed to fetch DeFi stats: {str(e)}"}
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+def get_jupiter_tokens() -> str:
+    """
+    Get list of tokens supported by Jupiter Protocol on Solana.
+
+    Returns:
+        str: JSON formatted string containing supported tokens
+
+    Example:
+        >>> result = get_jupiter_tokens()
+        >>> print(result)
+        {"tokens": [{"symbol": "SOL", "mint": "...", "decimals": 9}, ...]}
+    """
+    try:
+        url = "https://lite-api.jup.ag/tokens/v1/mints/tradable"
+        response = requests.get(url, timeout=10)
+        response.raise_for_status()
+        return json.dumps(response.json(), indent=2)
+
+    except requests.RequestException as e:
+        return json.dumps(
+            {"error": f"Failed to fetch Jupiter tokens: {str(e)}"}
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+def get_htx_trading_pairs() -> str:
+    """
+    Get list of all trading pairs available on HTX exchange.
+
+    Returns:
+        str: JSON formatted string containing trading pairs information
+
+    Example:
+        >>> result = get_htx_trading_pairs()
+        >>> print(result)
+        {"symbols": [{"symbol": "btcusdt", "state": "online", "type": "spot"}, ...]}
+    """
+    try:
+        url = "https://api.htx.com/v1/common/symbols"
+        response = requests.get(url, timeout=10)
+        response.raise_for_status()
+        return json.dumps(response.json(), indent=2)
+
+    except requests.RequestException as e:
+        return json.dumps(
+            {"error": f"Failed to fetch HTX trading pairs: {str(e)}"}
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+def get_market_sentiment(coin_ids: List[str]) -> str:
+    """
+    Get market sentiment data including social metrics and developer activity.
+
+    Args:
+        coin_ids (List[str]): List of CoinGecko coin IDs
+
+    Returns:
+        str: JSON formatted string containing market sentiment data
+
+    Example:
+        >>> result = get_market_sentiment(["bitcoin", "ethereum"])
+        >>> print(result)
+        {"bitcoin": {"sentiment_score": 75, "social_volume": 15000, ...}, ...}
+    """
+    try:
+        sentiment_data = {}
+        for coin_id in coin_ids:
+            url = f"https://api.coingecko.com/api/v3/coins/{coin_id}"
+            params = {
+                "localization": False,
+                "tickers": False,
+                "market_data": False,
+                "community_data": True,
+                "developer_data": True,
+            }
+
+            response = requests.get(url, params=params, timeout=10)
+            response.raise_for_status()
+            data = response.json()
+
+            sentiment_data[coin_id] = {
+                "community_score": data.get("community_score"),
+                "developer_score": data.get("developer_score"),
+                "public_interest_score": data.get(
+                    "public_interest_score"
+                ),
+                "community_data": data.get("community_data"),
+                "developer_data": data.get("developer_data"),
+            }
+
+            # Rate limiting to avoid API restrictions
+            time.sleep(0.6)
+
+        return json.dumps(sentiment_data, indent=2)
+
+    except requests.RequestException as e:
+        return json.dumps(
+            {"error": f"Failed to fetch market sentiment: {str(e)}"}
+        )
+    except Exception as e:
+        return json.dumps({"error": f"Unexpected error: {str(e)}"})
+
+
+# Initialize the agent with expanded tools
+agent = Agent(
+    agent_name="Financial-Analysis-Agent",
+    agent_description="Advanced financial advisor agent with comprehensive cryptocurrency market analysis capabilities across multiple platforms including Jupiter Protocol and HTX",
+    system_prompt="You are an advanced financial advisor agent with access to real-time cryptocurrency data from multiple sources including CoinGecko, Jupiter Protocol, and HTX. You can help users analyze market trends, check prices, find trading opportunities, perform swaps, and get detailed market insights. Always provide accurate, up-to-date information and explain market data in an easy-to-understand way.",
+    max_loops=1,
+    max_tokens=4096,
+    model_name="gpt-4o-mini",
+    dynamic_temperature_enabled=True,
+    output_type="all",
+    tools=[
+        get_coin_price,
+        get_top_cryptocurrencies,
+        search_cryptocurrencies,
+        get_jupiter_quote,
+        get_htx_market_data,
+        get_token_historical_data,
+        get_defi_stats,
+        get_jupiter_tokens,
+        get_htx_trading_pairs,
+        get_market_sentiment,
+    ],
+    # Upload your tools to the tools parameter here!
+)
+
+# agent.run("Use defi stats to find the best defi project to invest in")
+agent.run(
+    "Get the price of bitcoin on both functions get_htx_crypto_price and get_crypto_price and also get the market sentiment for bitcoin"
+)
+# Automatically executes any number and combination of tools you have uploaded to the tools parameter!

pyproject.toml

@@ -5,7 +5,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "7.8.2"
+version = "7.8.3"
 description = "Swarms - TGSC"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]
@@ -79,7 +79,6 @@ torch = "*"
 httpx = "*"
 mcp = "*"
 aiohttp = "*"
-numpydoc = "*"
 
 [tool.poetry.scripts]
 swarms = "swarms.cli.main:main"

requirements.txt

@@ -25,4 +25,4 @@ httpx
 # vllm>=0.2.0
 aiohttp
 mcp
-numpydoc
+numpy

swarms/structs/swarm_matcher.py

@@ -1,7 +1,6 @@
 import json
 from typing import List, Optional, Tuple
 
-import numpy as np
 from pydantic import BaseModel, Field
 from tenacity import retry, stop_after_attempt, wait_exponential
 
@@ -80,7 +79,7 @@ class SwarmMatcher:
         stop=stop_after_attempt(3),
         wait=wait_exponential(multiplier=1, min=4, max=10),
     )
-    def get_embedding(self, text: str) -> np.ndarray:
+    def get_embedding(self, text: str):
         """
         Generates an embedding for a given text using the configured model.
 
@@ -90,6 +89,7 @@ class SwarmMatcher:
         Returns:
             np.ndarray: The embedding vector for the text.
         """
+        import numpy as np
         logger.debug(f"Getting embedding for text: {text[:50]}...")
         try:
             inputs = self.tokenizer(
@@ -141,6 +141,7 @@ class SwarmMatcher:
         Returns:
             Tuple[str, float]: A tuple containing the name of the best matching swarm type and the score.
         """
+        import numpy as np
         logger.debug(f"Finding best match for task: {task[:50]}...")
         try:
             task_embedding = self.get_embedding(task)

swarms/tools/base_tool.py

@@ -2,7 +2,6 @@ import json
 from typing import Any, Callable, Dict, List, Optional, Union
 from concurrent.futures import ThreadPoolExecutor, as_completed
 
-# from litellm.utils import function_to_dict
 from pydantic import BaseModel, Field
 
 from swarms.tools.func_to_str import function_to_str, functions_to_str