orq-ai-sdk
Python Client SDK for the Orq API.
Decision gist · record as of 2026-08-14
Yes, if you are building Python applications that need to interact with the orq.ai API. The SDK is actively maintained, has low install friction, and provides both sync and async interfaces. However, verify the license terms before use, as the license status is currently unclear in the package metadata. No known security vulnerabilities are reported.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and a valid ORQ_API_KEY environment variable or parameter for authentication.
- Low install friction with a pure-wheel distribution.
- Active maintenance with a release on 2026-08-14 and commits through that date.
License · maintenance · safety
(unclear) — License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before use in proprietary or copyleft-sensitive contexts.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 9 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 98,764 downloads/mo, #13,062 on PyPI
Alternatives
Verify before relying
pip install orq-ai-sdk
from orq_ai_sdk import Orq
import os
with Orq(api_key=os.getenv("ORQ_API_KEY", "")) as orq:
res = orq.evals.all(limit=10)
print(res)- What is the actual license under which this package is distributed?
- Are there any rate limits or quotas enforced by the orq.ai API that users should be aware of?
- What is the stability guarantee for the SDK's public API across versions?
What it is and what it does
orq-ai-sdk is a Python client library for the orq.ai API, designed to provide type-safe, developer-friendly access to orq.ai's services. It wraps HTTP communication using httpx and httpcore, with request/response validation via pydantic. The SDK supports both synchronous and asynchronous workflows, allowing you to query agents, manage alerts, run evaluations, and interact with other orq.ai resources through a consistent interface.
The package is actively maintained and requires Python 3.10 or later. It handles authentication via API key (passed as a parameter or read from the ORQ_API_KEY environment variable), supports streaming responses, file uploads, automatic retries, and custom HTTP client configuration. The SDK is distributed as a pure Python wheel with no compiled dependencies, making installation straightforward across platforms.
Use it for
- Build Python applications that programmatically create, list, update, or delete AI agents via the orq.ai API.
- Set up monitoring and alerting rules for AI systems by creating and managing alerts through the SDK.
- Run evaluations on AI models or agents and retrieve results asynchronously to avoid blocking application logic.
- Integrate orq.ai capabilities into async Python frameworks (FastAPI, aiohttp) using the native async/await support.
- Automate agent lifecycle management (creation, configuration, deletion) as part of CI/CD or infrastructure-as-code workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building Python applications that need to interact with the orq.ai API.
The SDK is actively maintained, has low install friction, and provides both sync and async interfaces. However, verify the license terms before use, as the license status is currently unclear in the package metadata. No known security vulnerabilities are reported.
Install
orq-ai-sdk on PyPI
Before you install
Low install friction with a pure-wheel distribution. Active maintenance with a release on 2026-08-14 and commits through that date. Requires Python 3.10 or later.
Requires Python 3.10 or later and a valid ORQ_API_KEY environment variable or parameter for authentication.
License in practice
License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before use in proprietary or copyleft-sensitive contexts.
Quickstart
pip install orq-ai-sdk
from orq_ai_sdk import Orq
import os
with Orq(api_key=os.getenv("ORQ_API_KEY", "")) as orq:
res = orq.evals.all(limit=10)
print(res)
Verify before relying
- What is the actual license under which this package is distributed?
- Are there any rate limits or quotas enforced by the orq.ai API that users should be aware of?
- What is the stability guarantee for the SDK's public API across versions?
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packageshttpcorehttpxpydanticrequests |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 98,764 / month, #13,062 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: orq_ai_sdk-4.13.12-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “orq.ai python sdk”
- orq-ai-sdkA type-safe Python SDK for the orq.ai API, providing synchronous and…
- ringcentralPython SDK for accessing RingCentral's cloud communications platform,…
- alibabacloud-tea-xmlParses and handles XML data as part of Alibaba Cloud's Tea SDK…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also openrouter · polar-sdk · mistralai · kombo · opsgenie-sdk · glean-api-client · composio · mixpeek · simile · alita-sdk