CoreWeave Inference for Hermes Agent

A standalone model-provider plugin that adds CoreWeave Inference to Hermes's provider setup. It uses Hermes's existing OpenAI-compatible Chat Completions transport and model discovery. It does not modify Hermes core, prompts, or tool schemas, and adds no runtime dependencies of its own.

Hermes can already use CoreWeave as a custom endpoint. This plugin supplies the provider name, endpoint, credential variable, and API-key signup link so users do not need to enter that configuration themselves.

Install and configure

Requires Hermes with standalone model-provider support. The integration checks target Hermes v0.22.2, commit d923a5eb487a17c0a68801bba9ef0f56c81040a8.

Installation command:

hermes plugins install coreweave/serverless-inference-for-hermes

For development in an approved workspace, copy only __init__.py and plugin.yaml into $HERMES_HOME/plugins/model-providers/serverless-inference-for-hermes/. Keep private test evidence and local notes outside the installed plugin.

Get an inference-enabled W&B API key. Supply it through your workspace's secret mechanism as COREWEAVE_API_KEY, then run hermes model and choose CoreWeave Inference. Select a model available to your account. Do not put the key in source, command arguments, or recorded output.

The endpoint is https://api.inference.wandb.ai/v1. An empty or failed catalog lookup is not proof that a model is available; this plugin deliberately does not invent a fallback model list or claim capabilities for untested models.

Hermes fetches the model catalog from that endpoint and sends chat requests that include prompts and tool results. Hermes handles the provider's API key. The installed plugin reads no credential files, starts no shell commands or background processes, and adds no telemetry.

Optional project attribution

Project attribution is not part of the named plugin's initial contract. A bare providers.coreweave.extra_headers block may be bypassed by Hermes's canonical provider resolution. For explicit attribution, use the separate custom provider in examples/project-attribution.yaml, replace TEAM/PROJECT, and select --provider custom:coreweave-project.

This example is source-reviewed, not wire-verified. Confirm that inference requests carry openai-project before relying on it for usage attribution. Do not add credentials to the YAML file.

Development and validation

Static checks do not import or run Hermes and need only Python's standard library:

python3 scripts/check_static.py
bash -n scripts/test_in_sandbox.sh

The CI workflow runs only these static checks. It does not establish host or live API compatibility.

In an approved Linux workspace, prepare a clean official Hermes checkout at the pinned commit, then run:

bash scripts/test_in_sandbox.sh /absolute/path/to/hermes-agent

The development runners use Hermes's package-manager wrapper, which may download its pinned runtime dependencies, and read configured proxy settings and certificate bundle files. The synthetic runner creates disposable settings, supplies synthetic credentials, and runs the plugin through the real installed-provider discovery path. Tests cover listing, runtime routing, missing credentials, model discovery, catalog rejection, and provider discovery across profiles.

On the pinned Hermes revision, sandbox checks passed hermes plugins doctor, all 14 hermes plugins validate --install-deps checks with no warnings, and all six synthetic tests. These checks used manual development installation and no inference credentials. Optional Chromium and CUA tools were unavailable due to download restrictions and missing libX11.so.6; those tools are outside these provider checks.

A live smoke test on October 15, 2026 used moonshotai/Kimi-K2.6 with an approved demo credential. The authenticated model-catalog preflight returned HTTP 200. Hermes discovered the plugin in a fresh profile, completed five file-tool calls without tool errors, and produced an exact copy of the synthetic input file. This verifies the agent file task; it does not establish project attribution.

Separate live API checks through Hermes provider resolution and request construction verified authenticated model discovery, HTTP streaming with a clean stop, and an HTTP 401 authentication error for an invalid key. Missing credentials failed without selecting another provider; a rejected catalog lookup produced no fallback models. A nonexistent model returned a generic HTTP 404, which Hermes classified as an unknown, retryable error. Full chat-loop recovery and model-permission denials remain unverified.

With a separate approved demo identity supplied through COREWEAVE_API_KEY, run:

python3 scripts/live_smoke.py --hermes /absolute/path/to/hermes-agent --model YOUR_MODEL_ID

Choose an account-authorized, tool-capable model. The runner uses a fresh profile with this plugin and no custom-provider entry. It asks Hermes to read a synthetic file, write a copy, and verify it. It requires successful tool calls and a final response, redacts the supplied key, and saves evidence under ignored .local/. It refuses macOS. That guard does not itself prove that a Linux workspace is approved; use your organization's approved environment and credential process.

The recorded tests do not cover public installation, interactive provider/model selection, full chat-loop recovery, or model-permission denials. Optional project attribution also needs header capture.

Contributing

See CONTRIBUTING.md for contribution and validation guidance.