Python SDK for Exa API.
Project description
Exa
Exa (formerly Metaphor) API in Python
Note: This API is basically the same as metaphor-python but reflects new
features associated with Metaphor's rename to Exa. New site is https://exa.ai
Installation
pip install exa_py
Usage
Import the package and initialize the Exa client with your API key:
from exa_py import Exa
exa = Exa(api_key="your-api-key")
Common requests
# basic search
results = exa.search("This is a Exa query:")
# keyword search (non-neural)
results = exa.search("Google-style query", type="keyword")
# search with date filters
results = exa.search("This is a Exa query:", start_published_date="2019-01-01", end_published_date="2019-01-31")
# search with domain filters
results = exa.search("This is a Exa query:", include_domains=["www.cnn.com", "www.nytimes.com"])
# search and get text contents
results = exa.search_and_contents("This is a Exa query:")
# search and get contents with contents options
results = exa.search_and_contents("This is a Exa query:",
text={"include_html_tags": True, "max_characters": 1000})
# find similar documents
results = exa.find_similar("https://example.com")
# find similar excluding source domain
results = exa.find_similar("https://example.com", exclude_source_domain=True)
# find similar with contents
results = exa.find_similar_and_contents("https://example.com", text=True)
# get text contents
results = exa.get_contents(["tesla.com"])
# get contents with contents options
results = exa.get_contents(["urls"],
text={"include_html_tags": True, "max_characters": 1000})
# basic answer
response = exa.answer("This is a query to answer a question")
# answer with full text
response = exa.answer("This is a query to answer a question", text=True)
# answer with streaming
response = exa.stream_answer("This is a query to answer:")
# Print each chunk as it arrives when using the stream_answer method
for chunk in response:
print(chunk, end='', flush=True)
# research task example – answer a question with citations
# Example prompt & schema inspired by the TypeScript example.
QUESTION = (
"Summarize the history of San Francisco highlighting one or two major events "
"for each decade from 1850 to 1950"
)
OUTPUT_SCHEMA: Dict[str, Any] = {
"type": "object",
"required": ["timeline"],
"properties": {
"timeline": {
"type": "array",
"items": {
"type": "object",
"required": ["decade", "notableEvents"],
"properties": {
"decade": {
"type": "string",
"description": 'Decade label e.g. "1850s"',
},
"notableEvents": {
"type": "string",
"description": "A summary of notable events.",
},
},
},
},
},
}
resp = exa.research.create_task(
instructions=QUESTION,
model="exa-research",
output_schema=OUTPUT_SCHEMA,
)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
exa_py-1.14.11-py3-none-any.whl
(40.1 kB
view details)
File details
Details for the file exa_py-1.14.11-py3-none-any.whl.
File metadata
- Download URL: exa_py-1.14.11-py3-none-any.whl
- Upload date:
- Size: 40.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5bf2c05a775fbefba3a5b986d68154c48acd8d336507d32ec0e9795ec325c2b2
|
|
| MD5 |
1769832483e6168126424e744625fb68
|
|
| BLAKE2b-256 |
36ab43dbbb8ff50c8229690a1344c16a4f0caf051a09773423267cb9080395be
|
