abstime 0.1.0

AbsTime resolves natural language time expressions for AI systems. Built for agents, assistants, and workflows that need accurate time resolution.

AbsTime Python API Library

AbsTime resolves natural language time expressions for AI systems.

Built for agents, assistants, and workflows that need accurate time resolution.

This library provides convenient access to the AbsTime REST API from Python.

Install

pip install abstime

Quickstart

import os

from abstime import AbsTime

client = AbsTime(api_key=os.environ["ABSTIME_API_KEY"])

result = client.resolve(
    text="the last Friday of this month at 2 pm",
    ref_time="2026-04-09T17:30:00Z",
    ref_timezone="America/Los_Angeles",
)

print(result.time)
print(result.view)
# 2026-04-24T21:00:00Z
# Apr 24, 2026 2 PM

Output

The core result fields are:

Field	Meaning	Example	Use
time	Resolved UTC timestamp	2026-04-24T21:00:00Z	Store, compare, or pass to downstream systems
view	Human-readable local time	Apr 24, 2026 2 PM	Show the result in user interfaces
confidence	Resolution confidence signal	C0	Guide result presentation and handling

Understand confidence:

• C0: a clear resolution; safe to use directly.
• C1: less obvious but the most reasonable resolution; still safe to use directly.
• C2: sometimes arguable; user confirmation is recommended.

Input

The core input fields are:

Field	Meaning	Use	Instead of
text	Natural language time expression	two days before Christmas	Schedule a meeting with Lily two days before Christmas.
ref_time	UTC reference time	2026-04-09T17:30:00Z	2026-04-09T10:30:00-07:00
ref_timezone	IANA reference timezone	America/Los_Angeles	PST

Handling Errors

When the library is unable to connect to the API, for example due to a network failure or timeout, an abstime.APIConnectionError is raised.

When the API returns a non-success status code, a subclass of abstime.AbsTimeError is raised.

import abstime

client = abstime.AbsTime()

try:
    result = client.resolve(
        text="the last Friday of this month at 2 pm",
        ref_time="2026-04-09T17:30:00Z",
        ref_timezone="America/Los_Angeles",
    )
except abstime.InputError as exc:
    print(f"Invalid input: {exc}")
except abstime.RateLimitError as exc:
    print(f"Request ID: {exc.request_id}")
except abstime.APIConnectionError:
    print("The API could not be reached.")

Error codes are as follows:

Status Code	Error
400	InputError
401	AuthenticationError
403	PermissionDeniedError
429	RateLimitError
>=500	InternalError
N/A	APIConnectionError

Request IDs

All successful responses provide a request_id from the X-Request-Id response header.

print(result.request_id)

For failed requests, catch the error and read exc.request_id:

import abstime

try:
    client.resolve(
        text="the last Friday of this month at 2 pm",
        ref_time="2026-04-09T17:30:00Z",
        ref_timezone="America/Los_Angeles",
    )
except abstime.AbsTimeError as exc:
    print(exc.request_id)

Retries and Timeouts

The client retries certain transient failures once by default with a short backoff.

Requests time out after 15 seconds by default.

You can configure both when creating the client.

client = abstime.AbsTime(
    timeout=5,
    max_retries=0,
)

Async Usage

Import AsyncAbsTime instead of AbsTime and use await with each call:

import asyncio

from abstime import AsyncAbsTime

client = AsyncAbsTime()


async def main() -> None:
    result = await client.resolve(
        text="the last Friday of this month at 2 pm",
        ref_time="2026-04-09T17:30:00Z",
        ref_timezone="America/Los_Angeles",
    )
    print(result.time)


asyncio.run(main())

The synchronous and asynchronous clients are otherwise identical.

Requirements

• Python 3.9+

Docs

See docs.abstime.ai for the full API contract, response details, and integration guides.