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[FIX] Docs & EXA

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pull/1097/head
Aksh Parekh 1 week ago
parent a84ea0cd63
commit e40a1f73a7
2 changed files with 5 additions and 157 deletions
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89
docs/examples/realestate_swarm.md
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@ -23,22 +23,12 @@ To set up and run the Real Estate Swarm, follow these steps:
* An Exa API Key (for the `exa_search` tool) * An Exa API Key (for the `exa_search` tool)
### Installation ### Installation
1. **Install dependencies:**
1. **Clone the Swarms repository:** Use the following command to download all dependencies.
```bash
git clone https://github.com/kyegomez/swarms.git
cd swarms
```
2. **Install dependencies:**
If using Poetry:
```bash
poetry install
```
If using pip:
```bash ```bash
pip install -r requirements.txt pip install -r requirements.txt
``` ```
3. **Set up Exa API Key:** 2. **Set up Exa API Key:**
The `Property Research Agent` utilizes the `exa_search` tool, which requires an `EXA_API_KEY`. The `Property Research Agent` utilizes the `exa_search` tool, which requires an `EXA_API_KEY`.
Create a `.env` file in the root directory of your project (or wherever your application loads environment variables) and add your Exa API key: Create a `.env` file in the root directory of your project (or wherever your application loads environment variables) and add your Exa API key:
``` ```
@ -62,78 +52,7 @@ from swarms.utils.history_output_formatter import history_output_formatter
# --- Exa Search Tool Integration --- # --- Exa Search Tool Integration ---
# Import and define exa_search as a callable tool for property research. # Import and define exa_search as a callable tool for property research.
import os from swarms_tools import exa_search
from dotenv import load_dotenv
from loguru import logger
import httpx
from swarms.utils.any_to_str import any_to_str
def exa_search(
query: str,
characters: int = 100,
sources: int = 1,
) -> str:
"""
Perform a highly summarized Exa web search.
Args:
query (str): Search query.
characters (int): Max characters for summary.
sources (int): Number of sources.
Returns:
str: Most concise summary of search results.
"""
api_key = os.getenv("EXA_API_KEY")
if not api_key:
raise ValueError("EXA_API_KEY environment variable is not set")
headers = {
"x-api-key": api_key,
"content-type": "application/json",
}
payload = {
"query": query,
"type": "auto",
"numResults": sources,
"contents": {
"text": True,
"summary": {
"schema": {
"type": "object",
"required": ["answer"],
"additionalProperties": False,
"properties": {
"answer": {
"type": "string",
"description": "Highly condensed summary of the search result",
}
},
}
},
"context": {"maxCharacters": characters},
},
}
try:
logger.info(f"[SEARCH] Exa summarized search: {query[:50]}...")
response = httpx.post(
"https://api.exa.ai/search",
json=payload,
headers=headers,
timeout=30,
)
response.raise_for_status()
json_data = response.json()
return any_to_str(json_data)
except Exception as e:
logger.error(f"Exa search failed: {e}")
return f"Search failed: {str(e)}. Please try again."
# Load environment variables for Exa API key
load_dotenv()
# System prompts for each agent # System prompts for each agent
LEAD_GENERATION_PROMPT = """ LEAD_GENERATION_PROMPT = """

73
examples/demos/real_estate/realestate_swarm.py
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@ -6,78 +6,7 @@ from swarms.utils.history_output_formatter import history_output_formatter
# --- Exa Search Tool Integration --- # --- Exa Search Tool Integration ---
# Import and define exa_search as a callable tool for property research. # Import and define exa_search as a callable tool for property research.
import os from swarms_tools import exa_search
from dotenv import load_dotenv
from loguru import logger
import httpx
from swarms.utils.any_to_str import any_to_str
def exa_search(
query: str,
characters: int = 100,
sources: int = 1,
) -> str:
"""
Perform a highly summarized Exa web search.
Args:
query (str): Search query.
characters (int): Max characters for summary.
sources (int): Number of sources.
Returns:
str: Most concise summary of search results.
"""
api_key = os.getenv("EXA_API_KEY")
if not api_key:
raise ValueError("EXA_API_KEY environment variable is not set")
headers = {
"x-api-key": api_key,
"content-type": "application/json",
}
payload = {
"query": query,
"type": "auto",
"numResults": sources,
"contents": {
"text": True,
"summary": {
"schema": {
"type": "object",
"required": ["answer"],
"additionalProperties": False,
"properties": {
"answer": {
"type": "string",
"description": "Highly condensed summary of the search result",
}
},
}
},
"context": {"maxCharacters": characters},
},
}
try:
logger.info(f"[SEARCH] Exa summarized search: {query[:50]}...")
response = httpx.post(
"https://api.exa.ai/search",
json=payload,
headers=headers,
timeout=30,
)
response.raise_for_status()
json_data = response.json()
return any_to_str(json_data)
except Exception as e:
logger.error(f"Exa search failed: {e}")
return f"Search failed: {str(e)}. Please try again."
# Load environment variables for Exa API key
load_dotenv()
# System prompts for each agent # System prompts for each agent
LEAD_GENERATION_PROMPT = """ LEAD_GENERATION_PROMPT = """

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