Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

NVIDIA NeMo Fabric LangChain Deep Agents Adapter

License GitHub Release

Diagram showing NeMo Fabric connecting applications, evaluation systems, and reinforcement learning rollouts to harnesses and custom agents, with results, artifacts, and telemetry as outputs.

nemo-fabric-adapters-deepagents provides a NeMo Fabric adapter for use with LangChain Deep Agents.

Install

Installation can be performed using the nemo-fabric meta package with the deepagents extra, or by installing the adapter and harness packages separately. The following table shows which components each installation provides:

Installation Runtime Adapter Harness NeMo Relay Python Package
pip install "nemo-fabric[deepagents]" Yes Yes Yes No
pip install "nemo-fabric[deepagents,relay]" Yes Yes Yes Yes
pip install "nemo-fabric-adapters-deepagents[harness]" No Yes Yes No
pip install "nemo-fabric-adapters-deepagents[full]" No Yes Yes Yes
pip install "nemo-fabric-adapters-deepagents[relay]" No Yes No Yes
pip install nemo-fabric-adapters-deepagents No Yes No No

NeMo Relay is optional for ordinary runs. NeMo Relay telemetry and streaming require one of the installations in the table that includes the NeMo Relay Python package.

Refer to the installation guide for more details.

Metadata

Release files for nemo-fabric-adapters-deepagents 0.5.0a20261013

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for nemo-fabric-adapters-deepagents 0.5.0a20261013
File Interpreter ABI Platform
nemo_fabric_adapters_deepagents-0.5.0a20261013-py3-none-any.whl Python 3 none any Details

Release files / nemo_fabric_adapters_deepagents-0.5.0a20261013-py3-none-any.whl

Download URL nemo_fabric_adapters_deepagents-0.5.0a20261013-py3-none-any.whl
Size 22.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7f29826d0b1d5809bb44f089d4ef4c97b08feb880b697a9f6b866372f356a803
BLAKE2b-256 checksum
How to use checksums
eb32631f57620a7672af4a4f654ca31c5a33f41647243c20891cf95999f10183
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.8

Release history Release notifications | RSS feed

0.5.0

1 release file

This release

0.5.0a20261013 This release

1 release file

0.4.0

1 release file

0.3.0

1 release file

0.2.0

1 release file

0.1.1

1 release file

0.1.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page