Credentials. Cloud fallback requires provider credentials, so store API keys in the location the plugin documents and do not paste them into shared prompts or logs.
Who it is forA developer who wants DSH to use models on their own machine and has an Ollama install ready.
The problemDSH needs a model provider, and a local model can keep prompts on your machine, but a local model may be unavailable at times.
The outcomeDSH sends requests to Ollama models, checks their health, and falls back to a cloud model when needed.
What you need first
- A working DeepSeek Harness install (the README describes it as a preview agent harness with desktop and Web interfaces)
- Access to the GitHub repository of the plugin you pick, so you can read its README and code before installing
- For local models: a running Ollama setup, since the dsh-local-ai entry names an Ollama provider
- For the advisor or routing cases: at least one configured second model endpoint
Steps
- Open the dsh-local-ai repository (https://github.com/PerryLink/dsh-local-ai) and read its README for install steps.
- Check that Ollama is running and that the model names you plan to use are available to it.
- Install the plugin into DSH following the repository's instructions.
- In DSH, select the Ollama provider and confirm the health check reports the local server as available.
- Configure the cloud fallback provider, then send a test request while the local server is stopped to confirm the fallback is used.
Prompt for your agent
Read the README of the repository at <plugin repo URL> (dsh-local-ai) and list its install steps, the Ollama settings it needs, and how its cloud fallback is configured. Expected output: a numbered setup checklist for a DSH install on <target machine>. Verify that every step is stated in the README and mark anything that is not as unconfirmed.
Caveat. The README lists the Ollama provider and fallback features but gives no install commands, so confirm the exact setup steps in the plugin repository before relying on them.
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