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codai-sdk — Python SDK

PyPI version Python versions license

Official Python client for the codai AI gateway. Zero dependencies (stdlib only), Python 3.9+.

pip install codai-sdk

You need a codai API key. Get one at codai.ro. The import name stays codai:

from codai import Codai

client = Codai(api_key="ck-...", session_id="my-project")

# Chat (OpenAI-compatible, smart-routed)
result = client.chat([{"role": "user", "content": "Explain asyncio.gather"}])
print(result.content)
print(result.routed_to)   # which model actually served

# Streaming
for delta in client.chat_stream([{"role": "user", "content": "hi"}]):
    print(delta, end="", flush=True)

# Server-side agent loop
run = client.agents_run("Find and summarize the TODOs in this codebase")
print(run.result)

# Feedback (improves routing for everyone)
client.feedback(result.request_id, 1)

codai extensions

Option Effect
session_id Session memory + routing stickiness
agent_mode=True Plan-and-execute loop (Pro+)
compact="auto" Server-side context compaction
best_of=0/3 Disable / force best-of-N ensembling

Resource groups (0.2.0)

Every gateway operation is a method on the client, grouped exactly like the TypeScript SDK (camelCase → snake_case). The 0.1.x helpers above still work — client.chat([...]) and client.chat.completions.create({...}) are the same call. Every method takes an optional ext={...} bag of X-Codai-* headers (effort, thinking, thinking_budget, cache, no_task, task_id, device, compact, best_of, share_token, … plus raw headers).

Attribute Methods Gateway
chat.completions create, stream POST /v1/chat/completions
messages create, stream POST /v1/messages (Anthropic wire)
responses create, stream POST /v1/responses (OpenAI Responses wire)
embeddings create POST /v1/embeddings
audio transcribe, transcribe_detailed, speech, speech_detailed /v1/audio/*
tokens create POST /v1/tokens
models list GET /v1/models
health get, ready, status /health, /health/ready, /status
agents run; runs.create/get/steps/stats/cancel/stream /v1/agents/*
tools search, fetch /v1/tools/*
tasks list, pending, stats, get, confirm /v1/tasks/*
sessions create, list, get, update, delete, dispatch, stream; events.*, controls.*, lease.*, shares.* /v1/sessions/*
devices list, update, delete, dispatch_inbox /v1/devices/*
hosts list, exec, post_result, stream /v1/hosts/*
orgs create, list; members.list/add/remove /v1/orgs/*
account get, update /v1/account
receipt get GET /v1/receipt
feedback submit POST /v1/feedback
phone_models list GET /v1/phone/models
from codai import Codai, CodaiError

client = Codai(api_key="codai_...", device="5dc0de00-0000-4000-8000-00000000c0da")

# Chat with extension headers; raw chunks + aggregate on streams
r = client.chat.completions.create(
    {"model": "codai", "messages": [{"role": "user", "content": "hi"}]},
    ext={"effort": "high", "thinking": True, "thinking_budget": 8192},
)
print(r.content, r.routed_to, r.usage)

stream = client.chat.completions.stream({"messages": [{"role": "user", "content": "hi"}]})
for delta in stream:            # text deltas; stream.chunks() for raw chunk dicts
    print(delta, end="")
print(stream.final.usage, stream.final.tool_calls)

# Anthropic / OpenAI Responses wires
client.messages.create({"messages": [{"role": "user", "content": "hi"}], "max_tokens": 200}).text
client.responses.create({"input": "hi"}).output_text

# Async agent run + SSE progress
run = client.agents.runs.create({"task": "Summarise the repo README."})
for ev in client.agents.runs.stream(run["id"]):
    if ev["event"] == "done":
        print(ev["data"]["status"], ev["data"]["result"])

# Tasks, account, receipt
page = client.tasks.list(limit=20)
print(client.account.get()["plan"], client.receipt.get(since="2026-09-01T00:00:00Z"))

# Shared sessions (needs a device id on the client) and hosts
s = client.sessions.create({"title": "pairing"})
for ev in client.sessions.stream(s["id"], after=0):
    print(ev["event"], ev["data"].get("seq"))
print(client.hosts.list())

try:
    client.orgs.members.add("org-1", {"user_id": "u", "role": "member"})
except CodaiError as e:
    print(e.status, e.code, e.request_id, e.retry_after)

Typed request/response shapes live in codai._types (generated from the OpenAPI spec — TypedDicts such as ChatCompletionRequest, Task, SessionEvent, CreateSessionShareResponse).

codai Resolve (0.4.0)

Pay per verified fix: submit a public GitHub issue, get a flat quote, accept it (held on your wallet), and pay only when the fix passes your tests. First 3 fixes are free. Lives on https://resolve.codai.ro (same key; resolve_base_url= to override).

from codai import Codai, ResolveInsufficientFundsError

client = Codai(api_key="codai_...")
job = client.resolve.submit({
    "repo_url": "https://github.com/owner/repo",
    "issue_url": "https://github.com/owner/repo/issues/42",
})
if job["status"] == "quoted":
    try:
        client.resolve.accept(job["id"])
    except ResolveInsufficientFundsError as e:
        print("top up first:", e.topup_url)
        raise
done = client.resolve.wait_for(job["id"])
print(done["status"], done.get("attestation_url"))

Failed attempts and infrastructure errors refund the hold in full. Types: codai._resolve_types (generated from resolve.yaml).

Development

python -m venv .venv && .venv/Scripts/python -m pip install -e ".[dev]"
.venv/Scripts/python -m pytest -q             # unit + OpenAPI parity tests, no network
.venv/Scripts/python scripts/gen-types.py     # regenerate src/codai/_types.py

MIT © codai

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0.7.0

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0.4.0 This release

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0.3.0

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