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🚀 EDDI 6.5.0

19 LLM providers, knowledge bases that crawl your site and read your files, and conversations that follow compatible agent versionsWhat's new

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MicrosoftRuns locally

Phi-4-mini

Microsoft's 3.8B open model for memory-constrained, latency-sensitive work and maths and logic reasoning.

Strengths

  • Runs in constrained environments
  • Maths and logic
  • Function calling
  • MIT license

Best For

  • Local and edge inference
  • Latency-sensitive apps
  • Light tool calling

Run It in EDDI

The fastest route is the Manager: open the agent wizard or the Platform Operator and pick the provider and model. To configure it yourself, follow these steps for the provider you want.

Ollama (local) · type: "ollama"

Model ids: phi4-mini

1. Store the credential

This provider does not use an API key: Ollama needs no key. Point baseUrl at your Ollama server; with EDDI's Ollama overlay it is http://ollama:11434.

2. Configure the LLM task

Use this as the langchain.json of the agent's workflow, or paste the parameters into the LLM editor in the Manager.

{
  "tasks": [
    {
      "actions": [
        "send_message"
      ],
      "id": "chat",
      "type": "ollama",
      "parameters": {
        "baseUrl": "http://ollama:11434",
        "model": "phi4-mini",
        "timeout": "120000",
        "systemMessage": "You are a helpful assistant",
        "addToOutput": "true"
      }
    }
  ]
}

Notes for EDDI

  • Runs fully offline once the model is downloaded, so it suits air-gapped deployments.

Related Models

Sources

The facts on this page come from the vendor's documentation, checked on 2026-09-30. Models change quickly, so confirm limits with the vendor before you rely on them. Prices are not listed here: see the vendor's pricing page.

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