Here's a README for the Desearch integration, modeled after the example you provided:
LlamaIndex Tools Integration: Desearch
This tool connects to Desearch to enable your agent to perform searches across various platforms like web, Twitter, and more.
To begin, you need to obtain an API key from the Desearch developer dashboard.
Usage
Here's an example usage of the DesearchToolSpec.
# %pip install llama-index llama-index-core desearch-py
from llama_index_desearch.tools import DesearchToolSpec
from llama_index.agent.openai import OpenAIAgent
desearch_tool = DesearchToolSpec(
api_key=os.environ["DESEARCH_API_KEY"],
)
agent = OpenAIAgent.from_tools(desearch_tool.to_tool_list())
agent.chat(
"Can you find the latest news on quantum computing?"
)
Available Functions
- ai_search_tool: Perform a search using Desearch across multiple platforms like web, Twitter, Reddit, etc.
- twitter_search_tool: Perform a basic Twitter search using the Desearch API.
- web_search_tool: Perform a basic web search using the Desearch API.
This loader is designed to be used as a way to load data as a Tool in an Agent.
You can copy and paste this into your README file. Let me know if you need any more modifications!
Metadata
Release files for llama-index-desearch 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| llama_index_desearch-0.0.2.tar.gz | 4.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llama_index_desearch-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.4 kB
Release files / llama_index_desearch-0.0.2.tar.gz
| Download URL | llama_index_desearch-0.0.2.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / llama_index_desearch-0.0.2-py3-none-any.whl
| Download URL | llama_index_desearch-0.0.2-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
|
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