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LLM recipekdeps asset

kdeps-recipes-ollama

v1.0.0

Ollama inference server with OpenAI-compatible /v1 surface

set recipes / shelf model

LLM context: none - kdeps uses it without sending it to the model

Where it runs

Part of the recipes set, used in the kdeps CLI. How to build and run an LLM server as a Docker appliance: engine, base image, install steps, ports and health check.

  1. kdeps llm build or kdeps llm run
  2. the recipe is rendered into an imagerecipes/ollama
  3. the LLM server starts
  4. workflows call it

Loaded by: kdeps llm list, kdeps llm, kdeps llm build, kdeps llm export iso, kdeps llm export k8s, kdeps llm run, kdeps llm show, kdeps llm wizard

In the code: kdeps llm listcatalog.LoadDefaultcatalog.Load

Install

A kdeps asset: installed with the first-run profile that includes its set, or the first time a command needs it, and updated without a new release.

kdeps install recipes/ollama

Pin a version with kdeps install recipes/ollama@<version>.

Contents

Ollama inference server with OpenAI-compatible /v1 surface

id
ollama
name
Ollama
api:
  port: 8000
  base_path: /v1
  chat_path: /v1/chat/completions
  health:
    method: GET
    path: /v1/models
  auth:
    mode: none
    env: LLM_API_KEY
engine:
  kind: ollama
  base_image: ubuntu:24.04
  packages: []
  install: |
    curl -fsSL https://ollama.com/install.sh | sh
  command:
    - ollama
    - serve
  env:
    OLLAMA_HOST: 0.0.0.0:11434
  internal_port: 11434
  openai_bridge: true
  openai_bridge_upstream: http://127.0.0.1:11434/v1
resources:
  gpu: optional
  memory_hint: 8Gi
capabilities:
  - chat
  - tools

Versions

VersionPublishedStatus
1.0.010/11/2026active

Details

Author
kdeps
License
Apache-2.0
Latest Version
1.0.0
Published
10/11/2026

Tags

kdepsrecipe