addisai 0.1.1

Official Addis AI SDK for Python — voice (TTS), chat/LLM with system prompts, personas and function calling, speech-to-text, and translation for Amharic and Afan Oromo.

addisai (Python)

The official Addis AI SDK for Python — voice (text‑to‑speech), chat/LLM with system prompts, personas and function calling, speech‑to‑text, and translation for Amharic (am) and Afan Oromo (om).

Mirrors the Node SDK surface, Pythonic and snake_case.

pip install addisai

Requires Python 3.8+.

Quickstart

from addisai import AddisAI

addis = AddisAI()  # reads ADDIS_API_KEY from the environment

# Text-to-speech
clip = addis.voice.generate(voice_id="am-hiwot", text="ሰላም ለዓለም።", language="am")
clip.to_file("welcome.mp3")

# Chat
res = addis.chat.completions.create(
    language="am",
    system="Answer in concise bullet points.",
    messages=[{"role": "user", "content": "ስለ አዲስ አበባ ንገረኝ"}],
)
print(res["choices"][0]["message"]["content"])

Configuration

addis = AddisAI(
    api_key="...",        # or set ADDIS_API_KEY
    timeout=60.0,          # seconds (voice.generate raises this to >= 95s)
    max_retries=2,         # backoff on 408/409/425/429/5xx
)

The key is read from api_key= or ADDIS_API_KEY, never logged, and redacted in repr(). The SDK only talks to the Cloudflare‑wrapped API and refuses raw *.supabase.co hosts.

Voice (text‑to‑speech)

clip = addis.voice.generate(
    voice_id="am-hiwot",
    text="ሰላም።",
    language="am",
    output_format="mp3_44100",                 # mp3_44100 | wav_44100 | pcm_16000
    voice_settings={"speed": 50, "stability": 50, "similarity": 50, "style": 0},
)
clip.audio_url
clip.usage          # {"credits_used": ..., "currency": "ETB", ...}
data = clip.content()   # bytes
clip.to_file("out.mp3")

Idempotency keys are generated automatically and reused across retries so a retry is never double‑billed. Pass client_request_id= for full control.

addis.voices.list(language="am", gender="female")
addis.voice.estimate(voice_id="am-hiwot", text="ሰላም", language="am")
addis.voice.usage()
for clip in addis.voice.clips.list(language="am"):  # auto-paginates
    print(clip.id)
addis.voice.clips.delete("clip_123")

Chat / LLM

res = addis.chat.completions.create(
    language="am",
    system="Be concise.",
    persona="You are RecipeBot by AcmeCorp.",
    messages=[{"role": "user", "content": "የእንጀራ አሰራር አስተምረኝ"}],
    temperature=0.7,
    max_tokens=1200,
)

The model is selected by Addis AI; responses report the id addis-1-alef.

Function calling

def get_order_status(args):
    return {"status": "shipped", "eta": "tomorrow"}

final = addis.chat.run_tools(
    language="am",
    messages=[{"role": "user", "content": "Check order 123 and summarize it."}],
    tools=[{
        "type": "function",
        "function": {
            "name": "get_order_status",
            "description": "Fetch order status by order ID.",
            "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}}, "required": ["order_id"]},
            "callable": get_order_status,
        },
    }],
)
print(final["choices"][0]["message"]["content"])

Streaming (beta)

stream=True returns a ChatStream — iterate for OpenAI‑style chunk dicts, or use the accumulators:

stream = addis.chat.completions.create(
    language="am", messages=[{"role": "user", "content": "Capital?"}], stream=True
)
for chunk in stream:
    print(chunk["choices"][0]["delta"].get("content", ""), end="", flush=True)

# or, instead of iterating:
text = addis.chat.completions.create(language="am", messages=[...], stream=True).final_text()
completion = addis.chat.completions.create(language="am", messages=[...], stream=True).final_completion()

Streaming is beta and not available with tools.

Speech‑to‑text & translation

with open("call.wav", "rb") as f:
    t = addis.speech.transcribe(audio=f, language="am")  # am|om|en|ha|sw
print(t["text"])

out = addis.translate.create(text="Hello", source="en", target="am")  # am|om|en
print(out["text"])

Legacy audio (deprecated)

# ⚠️ deprecated — use addis.voice.generate
out = addis.legacy.audio.generate(text="ሰላም", language="am")
out.to_file("legacy.wav")

# streaming bridge — yields audio bytes, handles both legacy encodings
audio = addis.legacy.audio.stream(text="ሰላም", language="am")
audio.to_file("legacy.wav")        # or: data = audio.read()

Errors

from addisai import InsufficientCreditsError, RateLimitError, APIError

try:
    addis.voice.generate(voice_id="am-hiwot", text="ሰላም", language="am")
except InsufficientCreditsError as e:
    show_top_up(e.available_balance)
except RateLimitError as e:
    sleep(e.retry_after or 1)
except APIError as e:
    print(e.status, e.code, e.details)

Not yet in the Python SDK

An async client (AsyncAddisAI) is the one planned follow‑up. Everything else — including streaming — is at parity with the Node SDK.

Live smoke test

scripts/smoke.py exercises the real API end-to-end. It is not a PR gate — the smoke workflow runs on manual dispatch and a daily schedule, only where the repo secret ADDIS_SMOKE_API_KEY (a low-balance sandbox key) is set. Run locally with ADDIS_API_KEY=<key> python scripts/smoke.py.

License

MIT