Run DeepSeek Harness on Gemini Embedding 001

by DeepSeekCoding agent

DeepSeek Harness (dsh) is DeepSeek's open-source agent harness, released under MIT and built so that everything is a plugin, from the model adapter and the tool registry to the agent loop itself. Start it with npx @deepseek-ai/dsh web and it opens a local web UI where the agent reads and edits your workspace, runs commands, and keeps a plan, with a headless profile for one-shot jobs from the terminal. On Opper it runs on any of 700+ models rather than DeepSeek's own alone: add Opper as a custom provider and you get one key, automatic fallbacks, and a choice of region.

Run

DeepSeek Harnessonin

Connect DeepSeek Harness to Gemini Embedding 001

Set up with agents

Paste this into your coding agent (Claude Code, Cursor, Codex, and more) and it will set up and build with Opper for you.

Get your API key

Where you can run it

Gemini Embedding 001 runs on the routes below. Route only to EU providers when your data has to stay in Europe.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
Google Cloud	US		No	$0.15	$0	Input price

The model

Gemini Embedding 001

Gemini Embedding 001 by Google generates multilingual text embeddings up to 3,072 dimensions for search and semantic understanding.

Available on

Pricing from$0.15/ 1M input$0/ 1M output2Kcontext

Privacy

ZDR
Training: No
Region: US

Run DeepSeek Harness on other models

Step-by-step setup for running DeepSeek Harness on each of these models through Opper.

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