Metadata-Version: 2.4
Name: nemo-fabric-adapters-hermes
Version: 0.1.0a20260717
Summary: Hermes Agent adapter for NeMo Fabric
Author: NVIDIA Corporation
License-Expression: Apache-2.0
Project-URL: Repository, https://github.com/NVIDIA/nemo-fabric/
Project-URL: Documentation, https://nvidia-nemo-fabric.docs.buildwithfern.com/nemo/fabric
Keywords: agents,ai,nemo-fabric,runtime,tools
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Requires-Python: <3.14,>=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: nemo-fabric-adapters-common==0.1.0a20260717
Requires-Dist: pyyaml>=6.0
Dynamic: license-file

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# NVIDIA NeMo Fabric Hermes Agent Adapter

This adapter runs Hermes Agent through its Python SDK.

## Install

To install just the Hermes adapter by itself:

```bash
pip install "nemo-fabric[adapters-hermes]"
```

To install just the Hermes adapter along with the NeMo Fabric Runtime:

```bash
pip install "nemo-fabric[adapters-hermes, runtime]"
```

## What It Maps

The adapter receives a normalized payload from Fabric and materializes Hermes-native configuration for:

- model provider, model name, base URL, temperature, and token settings;
- workspace and terminal settings;
- Fabric skills as Hermes external skill directories;
- Fabric MCP servers as Hermes MCP server config;
- `tools.blocked` as Hermes disabled toolsets, unioned with
  `harness.settings.disabled_toolsets`;
- optional NeMo Relay telemetry plugin configuration.

`hermes_home` configures a base directory. The adapter creates a child under
`runtimes/<runtime_id>` so invocations in one Fabric runtime share Hermes state
without sharing config or the session database with another runtime.

## Maintaining The Adapter

Keep `fabric-adapter.json` aligned with the Python implementation:

- `contract_version` must match the adapter contract supported by Fabric core.
- `adapter_id` is the stable id selected by `harness.adapter_id`.
- `adapter_kind` is `python` because Fabric can invoke it through Python.
- `runner.module` names the module that Fabric invokes with `python -m`.
  `runner.callable` names the equivalent reusable Python function.
- `requirements` powers `fabric doctor`; keep required env vars, binaries, or
  packages current.
- `config.accepts` must match the Fabric sections this adapter maps into Hermes.
- `telemetry.providers` declares provider-specific outputs and integration modes
  the adapter can produce or forward.

Do not put end-user agent settings in this directory. Users vary harness,
model, skills, MCP, tools, telemetry, and runtime behavior through `agent.yaml`
and profiles. The adapter descriptor describes adapter capabilities; it is not a
profile. Add descriptor fields only when Fabric core or the SDK actually uses
them.
