jina-deepsearch_skill

Overview

This skill provides direct access to Jina DeepSearch through the AIHubMix HTTP API using simple curl commands. It lets you run semantic search queries against Jina’s deep search model without writing client code. Set a single environment variable for your API key and you can send queries immediately.

How this skill works

The skill calls AIHubMix’s /v1/chat/completions endpoint and specifies the model name jina-deepsearch-v1. You pass a messages array where a user role contains the search query; the API returns a model-composed response with search results or embeddings as provided by Jina. Authentication is handled via an AIHUBMIX_API_KEY environment variable sent in the Authorization header.

When to use it

• You need simple, reproducible CLI access to Jina DeepSearch without installing SDKs.
• You want to prototype semantic search queries or integrate search calls into shell scripts and automation.
• You need to archive or back up query traffic and responses for auditing or analysis.
• You want a minimal dependency way to test model behavior or compare outputs across versions.

Best practices

• Store AIHUBMIX_API_KEY securely (use environment variables or secret managers) and avoid committing keys to source control.
• Structure messages as JSON with a single user content field for search queries; keep payloads small to control cost and latency.
• Log request IDs and timestamps for traceability when running bulk or automated queries.
• Rate-limit calls and handle HTTP errors gracefully; implement retries with exponential backoff for transient failures.
• Sanitize user inputs when integrating into larger systems to avoid injection or unintended commands.

Example use cases

• Quickly test semantic search queries from a terminal during development.
• Embed curl calls in CI scripts to validate search-related features and regression-test responses.
• Create scheduled backups of model responses by running periodic curl queries and storing outputs to an archive.
• Compare outputs between jina-deepsearch-v1 and other models by switching the model parameter in curl requests.
• Integrate into lightweight automation that enriches text data with semantic search results without adding a language SDK.