Idun SDK

Thin, stdlib-only client + CLI for the NatureLM-Idun-5-MoE agent on Azure AI Foundry — plus a 13-provider registry, a 16-bit retro console, and an MCP server that exposes the whole registry.

Runs headless on Termux/Android with nothing but the Python standard library (no httpx, no azure-identity, no Flask). Idun is a tool agent (reasons + calls tools like web_search); this SDK surfaces the full agent trajectory (reasoning + tool calls) instead of a black-box answer.

What's in the box (v1.0)

• 13-provider registry over 3 transports (OpenAI-compatible, Anthropic, Hugging Face). Any OpenAI-compatible endpoint works with zero code changes.
• idun-multi — a 16-colour ANSI "16-bit" console with provider switching, credential wizard, model discovery, fallback chains, themes, and a REPL.
• Config file ~/.idun/config.toml as the primary config source (env vars still win; registry defaults are the fallback).
• Structured output — --json on any command and a schema command.
• Fallback chains — fan a prompt across providers until one answers (IDUN_CHAIN).
• Theme system — classic / c64 / gameboy / amiga / cga.
• Live model discovery — GET {base}/models, cached 24h.
• MCP server parity — idun_providers, idun_ask, idun_race alongside the original idun_chat / idun_trace / idun_export / idun_token tools.
• Async client — AsyncIdunClient for concurrent fan-out via asyncio.
• Verified install — test.sh builds a fresh wheel, installs it into a temp dir, runs the offline suite, and asserts the console scripts resolve to this package.
• CI — Python 3.8–3.14 matrix + a native Termux/aarch64 job + ruff lint.

Quick start

pip install idun-sdk          # or: ./install.sh  (editable, no-deps)
./test.sh                     # post-install verification (offline, isolated)
idun-multi doctor             # env + credential + console-script audit

idun-multi providers                    # all 13 providers + credential state
idun-multi login --provider groq        # hidden prompt -> ~/.idun/groq.token (0600)
idun-multi ask "explain MoE routing"    # active provider
idun-multi -p openrouter ask "hi"       # one-off provider
idun-multi race "Name one planet."      # fan one prompt at every ready provider
idun-multi models --discover            # live model list for the active provider
idun-multi theme c64                     # switch retro palette
idun-multi doctor                       # env + credential + console-script audit

Any OpenAI-compatible endpoint works without code changes — override per provider with IDUN_<ID>_BASE and IDUN_<ID>_MODEL:

export IDUN_LOCAL_BASE=http://127.0.0.1:8080/v1   # llama.cpp / vLLM / LiteLLM
idun-multi -p local ask "hello"

Azure Foundry: bring your own resource

No tenant is bundled with this package. The azure provider is configured entirely from the environment, and IdunClient() raises a clear error rather than pointing you at somebody else's resource:

export IDUN_BASE=https://<your-resource>.services.ai.azure.com
export IDUN_PROJECT=<your-project>
export IDUN_AGENT=<your-agent>          # optional, default NatureLM-Idun-5-MoE
export IDUN_TENANT=<your-tenant-guid>   # optional, default "organizations"
idun login                              # Entra device-code

Persist them in ~/.idunrc (mode 0600, outside the repo) and source ~/.idunrc. Every other provider works with no Azure config at all.

Python API:

from idun.providers import complete, list_providers

c = complete("groq", "Summarise MoE routing in one line.")
print(c.text, c.model, c.latency_ms, c.total_tokens)

Credentials resolve from the provider env keys first, then ~/.idun/<id>.token (file 0600, dir 0700). Keys are never echoed and never passed via argv.

Configuration file

~/.idun/config.toml is the primary config source. Resolution order is env var > ~/.idun/config.toml > registry default, so whatever you put in the file is always overridable from the shell without editing it.

[defaults]
provider = "groq"
theme    = "c64"

[providers.groq]
model = "llama-3.3-70b-versatile"
base  = "https://api.groq.com/openai/v1"

[providers.openai]
model = "gpt-4o-mini"

The file is parsed by a stdlib-only TOML reader (no tomllib requirement, so it works on Python 3.8+). A corrupt or malformed file never crashes startup — you get a clear warning and the registry defaults are used instead.

Structured output

Every command that produces a completion supports --json, which emits a single completion-shaped JSON object at the end (streaming still prints chunks live in non-JSON mode). Use the schema command to inspect the response schema per provider, including whether json_mode is supported:

idun-multi ask "What is a MoE?" --json
idun-multi schema groq

{"provider": "groq", "model": "llama-3.3-70b-versatile",
 "text": "...", "prompt_tokens": 7, "completion_tokens": 23,
 "total_tokens": 30, "latency_ms": 412, "raw": {...}}

Fallback chains

IDUN_CHAIN lists providers to try in order; the first one that returns a non-retryable answer wins, and the chosen link is recorded in raw._served_by:

export IDUN_CHAIN=groq,openrouter,openai
idun-multi ask "Ansible vs Terraform, one line."   # tries groq, then openrouter, then openai

Skipped links on 429 / 5xx / auth / transport errors are reported in raw._chain. Programmatic:

from idun.providers import complete_chain
c = complete_chain(["groq", "openrouter"], "hi")
print(c.raw["_served_by"])

Themes

The 16-colour chrome is selectable via IDUN_THEME (read at import) or the theme command. Palettes: classic (default), c64, gameboy, amiga, cga. Unknown ids fall back to classic.

idun-multi theme gameboy

NO_COLOR=1 / IDUN_NO_RETRO=1 disable colour entirely, IDUN_ASCII=1 swaps box-drawing for pure ASCII, IDUN_FORCE_COLOR=1 keeps colour through a pipe, and IDUN_NO_TYPEWRITER=1 prints answers instantly.

Model discovery

models shows the registry model list; --discover fetches the live GET {base}/models endpoint and caches it under ~/.idun/models/<id>.json for 24h (override with IDUN_MODELS_CACHE_MAX_AGE, disable with IDUN_NO_MODELS_CACHE). On any error or for non-OpenAI transports, the registry list is returned so callers always get something usable.

idun-multi models groq --discover

MCP server

idun_mcp.py is a zero-dependency stdio MCP server (no FastMCP / httpx):

python3 idun_mcp.py

Tools exposed:

Add to any MCP client:

{ "mcpServers": { "idun": { "command": "python3", "args": ["/abs/path/idun-sdk/idun_mcp.py"] } } }

Async client

import asyncio
from idun.async_client import AsyncIdunClient

async def main():
    c = AsyncIdunClient()
    results = await c.gather(
        c.acomplete("groq", "hi"),
        c.acomplete("openai", "hi"),
    )
    for r in results:
        print(r.text)

asyncio.run(main())

AsyncIdunClient runs each (blocking) stdlib HTTP call in a worker thread via asyncio.to_thread — no dedicated thread pool — so the event loop stays free for concurrent fan-out.

Security

• Secrets are never on the command line. idun-multi login reads keys with getpass (hidden input); they are written to ~/.idun/<id>.token (mode 0600, inside a 0700 dir), never echoed, never logged.
• Error bodies are sanitised. Upstream error responses are truncated and scrubbed before they reach stderr/logs, so a token accidentally echoed by a provider is never relayed back.
• SSRF guard. Every outbound request is validated to be http:///https:// via _require_http_url before any connection is made — file://, gopher://, and similar schemes are rejected, so a malicious IDUN_*_BASE cannot read local files.
• No bundled tenant/resource. The Azure provider is configured purely from your environment; the package ships no credentials and no default resource.
• Token inspection is secret-free. idun token / the idun_token MCP tool report validity, expiry, and the account UPN — never the bearer token itself.

Azure request shape (verified)

POST {base}/api/projects/{project}/agents/{agent}/endpoint/protocols/openai/responses?api-version=2025-05-15-preview
Authorization: Bearer ***
{"model": "model-router", "input": "<prompt>", "max_output_tokens": 4096}

• model MUST be "model-router" (agent id is in the URL).
• Do not send a tools key — the agent owns its tools (else 400 invalid_payload).

Install & verify

pip install idun-sdk          # or: ./install.sh
./test.sh                     # builds a wheel, installs into a temp dir,
                              # runs the offline suite, asserts console
                              # scripts resolve to THIS package

Requires Python ≥ 3.8; no third-party dependencies (stdlib-only, runs headless on Termux/Android).

Links

• PyPI: https://pypi.org/project/idun-sdk/
• Repo: https://github.com/qapdex-maker/idun-sdk
• Foundry: https://ai.azure.com