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LLM Harbor

v0.4.16 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 21d LLM Frameworks
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai automation shell cli container docker
+10 more
self-hosted llm local mcp npm package pypi safetensors server tools

ReleasePort's take

Light signal
editorial:auto 13d

ML Intern v0.4.16 introduces auto‑mode for ranking and selecting text/code models from the router catalog.

Why it matters: If you use ML Intern in automated workflows, test the new model‑selection behavior before deploying to production.

Summary

AI summary

ML Intern auto mode selects ranked text/code models from the router catalog.

Changes in this release

Feature Medium

New ML Intern Hugging Face agent for research, training, code shipping

New ML Intern Hugging Face agent for research, training, code shipping

Source: llm_adapter@2026-05-21

Confidence: high

Feature Medium

New facts CLI enables fact-driven development with agent verification

New facts CLI enables fact-driven development with agent verification

Source: llm_adapter@2026-05-21

Confidence: high

Feature Medium

New mi agentic CLI for coding against OpenAI-compatible APIs

New mi agentic CLI for coding against OpenAI-compatible APIs

Source: llm_adapter@2026-05-21

Confidence: high

Feature Medium

ML Intern supports GitHub token override via environment variable

ML Intern supports GitHub token override via environment variable

Source: llm_adapter@2026-05-21

Confidence: high

Feature Medium

ML Intern reports unhealthy LLM backends with HTTP 503 status

ML Intern reports unhealthy LLM backends with HTTP 503 status

Source: llm_adapter@2026-05-21

Confidence: high

Feature Medium

ML Intern auto-selects ranked text/code models, rejects unsuitable ones

ML Intern auto-selects ranked text/code models, rejects unsuitable ones

Source: llm_adapter@2026-05-21

Confidence: low

Bugfix Medium

Harbor config search matches hyphenated service handles like ml-intern

Harbor config search matches hyphenated service handles like ml-intern

Source: llm_adapter@2026-05-21

Confidence: low

Full changelog

ML Intern

Hugging Face ML engineering agent for researching papers, inspecting Hugging Face resources, training models, and shipping ML-related code with local or cloud LLM backends.

harbor up ml-intern ollama --open

facts

Fact-driven development CLI for project specs that agents can verify and implement from inside Harbor.

harbor facts list

mi

Minimal agentic coding CLI that runs against OpenAI-compatible local or cloud model APIs.

harbor mi -p "inspect this project and summarize it"

Misc

  • ML Intern llama.cpp auto mode selects ranked text/code models from the advertised router catalog and rejects unsuitable non-chat models.
  • ML Intern can use GitHub token override env and reports unhealthy LLM backends with HTTP 503.
  • Harbor config search now matches hyphenated service handles such as ml-intern against normalized config keys.

Full Changelog: https://github.com/av/harbor/compare/v0.4.15...v0.4.16

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About LLM Harbor

Containerized LLM toolkit. Run LLM backends, APIs, frontends, and additional services via a concise CLI. `Apache-2.0` `Docker/Shell`

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Beta — feedback welcome: [email protected]