How do I set up a Deepseek-based API for search

To set up a Deepseek-based API for search, you’ll need to follow three core steps: obtaining API access, integrating the API into your application, and customizing search parameters. First, sign up for a Deepseek developer account to acquire an API key. This key authenticates your requests and is typically provided via the Deepseek developer dashboard. Once registered, review the API documentation to identify the required endpoints, headers, and data formats. For example, the search endpoint might be a POST request to https://api.deepseek.com/v1/search, with your API key included in the Authorization header.

Next, integrate the API into your codebase. Use a standard HTTP client library (like requests in Python or axios in JavaScript) to send requests. For instance, in Python, you could write a function that sends a query to the API and processes the response. Ensure you handle errors, such as rate limits or invalid queries, by checking HTTP status codes and parsing error messages from the response body. Here’s a simplified example:

import requests

def deepseek_search(query, api_key):
 headers = {"Authorization": f"Bearer {api_key}"}
 response = requests.post(
 "https://api.deepseek.com/v1/search",
 json={"query": query},
 headers=headers
 )
 if response.status_code == 200:
 return response.json()["results"]
 else:
 raise Exception(f"API error: {response.text}")

Finally, customize the search behavior to fit your use case. Deepseek’s API likely supports parameters like filters (e.g., date ranges, categories), pagination (e.g., page_size, offset), or result ranking rules. For example, adding "filter": {"category": "technology"} to your request body narrows results to a specific topic. Test these parameters thoroughly and monitor API usage to avoid exceeding rate limits. Once configured, deploy the integration and validate it with real-world queries to ensure accuracy and performance.