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netbird/agent-network/README.md
Maycon Santos 766fcae3f8 [proxy,management] Conform the Agent Network endpoint to the LLM gateway protocol (#7154)
[proxy,management] Conform the Agent Network endpoint to the LLM gateway protocol

Reviewed the proxy against Claude Code's published gateway contract. The
transport layer already held up; fourteen gaps sat one layer up, in the model
catalog and in the non-inference endpoints clients call.

Two of them cost money. The catalog carried no claude-opus-5 or
claude-sonnet-5, so an operator could not authorise the models coding agents
default to — those requests denied as not-routable, or priced at zero where a
catch-all carried them. And gateway records pin ParserID "openai" while the
same record serves /v1/messages, so Anthropic responses were read with the
OpenAI parser, which never looks at message_start where input tokens live:
input metered as roughly zero on every stream and cost was skipped entirely.

The rest fix requests refused for structural rather than policy reasons: model
discovery denied for every account with a model allowlist, token counting
denied on Bedrock and mis-parsed on Vertex, startup probes refused and written
into the access log at every session start, and denials rendered in a shape no
LLM client parses. Two changes are additive by design — the deny body keeps
every field it had and adds the vendor's error object alongside, and body-level
identity injection is now gated on the request's dialect so it stops sending
OpenAI-shape fields into Anthropic bodies that reject them.

The end-to-end work turned up one more: the discovery filter treated any slash
in a model id as a gateway prefix, which would have dropped every self-hosted
"Qwen/..." model from the picker.
2026-08-23 20:02:33 +02:00

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Markdown

# NetBird Agent Network
Agent Network is NetBird's access control layer for AI agents and the people who run them.
It gives every agent a real identity, tied to an identity provider (IdP), and governs what it can reach: LLM APIs and
AI gateways it can call, and the internal resources it can access. Traffic flows only over the encrypted NetBird tunnel,
scoped by policy, with no API keys or other credentials to leak. It also gives you control over cost and token usage.
Because every LLM request passes through an
identity-aware proxy, you can:
- **Set spending and rate limits** per agent, per user, or per team — with hard caps
that stop requests once a budget is reached.
- **Restrict models and providers** so agents can only call approved (and cost-appropriate)
endpoints, keeping expensive models off-limits unless explicitly allowed.
- **Attribute usage** by tracking token consumption and cost per identity, group, or cost center so every
request is tied back to the agent and person responsible.
- **Reuse your existing AI gateway** — point the proxy at a gateway you already run,
keeping its routing and config in place while it adds identity on top, so you skip
API key distribution.
https://github.com/user-attachments/assets/44d18286-d8ab-49f8-a457-98ccd66f3268
> **Beta.** Agent Network is in beta, but it's stable and already running in
> production environments. It's fully open source and can be self-hosted on your own
> infrastructure, with no vendor lock-in and no data leaving your environment.
## How it works
Say you have a simple use case: your Engineering or IT team needs access to Claude Code or Codex, and you want visibility into usage plus the ability to enforce budgets.
How can you do that without creating a dedicated API key for every team?
With Agent Network you get a private endpoint inside your network, for example: https://mirror.netbird.ai
Teams configure their agents to point to that endpoint instead of using individual API keys directly.
This endpoint is only reachable when users are connected to your NetBird network and authenticated through your IdP. Otherwise, it is not accessible from the public internet.
You can then use this private endpoint to configure your AI agents, whether that is Claude Code, Codex, or another tool.
## Quickstart
Full step-by-step setup:
**https://docs.netbird.io/agent-network/quickstart**
## Client settings that don't follow the endpoint
Most of an agent's traffic follows the base URL you hand it, but a few
client-side checks call their vendor directly and never reach the proxy. On a
network that blocks direct egress they fail even though inference works, so
they are worth setting once when you roll the endpoint out.
For Claude Code:
- **Fast mode** checks availability against `api.anthropic.com` rather than the
configured base URL. Set `CLAUDE_CODE_SKIP_FAST_MODE_ORG_CHECK=1` when the
agent authenticates with `ANTHROPIC_AUTH_TOKEN` alone (the usual shape when
the proxy injects the real provider key) or when a TLS-inspecting proxy
answers the check itself. Set
`CLAUDE_CODE_SKIP_FAST_MODE_NETWORK_ERRORS=1` when the network refuses the
connection outright. Fast mode is an Anthropic-API feature, so it is
unavailable on a Bedrock- or Vertex-backed endpoint whatever you set.
- **Model discovery** is off by default. Set
`CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY=1` for the picker to list the
models your policies authorise; the proxy filters the response to that set.
The client gives discovery a three-second budget and treats any redirect as
a failure, so the endpoint must serve `/v1/models` directly.
- **The WebFetch domain safety check** also calls `api.anthropic.com` directly
and is unaffected by the variables above.
Allowing direct egress to `api.anthropic.com` covers the network cases but not
the credential one, where the check reaches Anthropic and is rejected because
the agent presents a proxy-issued key.
## Architecture
Agent Network is built on two existing NetBird capabilities:
- **Overlay network** — the encrypted WireGuard mesh between peers.
- **Reverse proxy** — a NetBird peer that terminates LLM requests, establishes the
caller's identity, evaluates policies/limits/guardrails, injects the upstream provider
key server-side, forwards to the API or gateway, and records usage.
LLM traffic is routed through the proxy's identity-aware pipeline, while internal
resources (databases, internal APIs, self-hosted models) are reached directly over
peer-to-peer WireGuard tunnels, governed by the same identities and access policies.
<img width="4720" height="2218" alt="image" src="https://github.com/user-attachments/assets/1afa5da1-4b82-4f8a-a7a8-f417efadf1eb" />
## Where the code lives
There is no separate "agent-network" service — it reuses the reverse-proxy and management
components:
- [`proxy/`](../proxy) — the NetBird reverse proxy that serves the agent network endpoint
and runs the per-request middleware pipeline.
- [`management/internals/modules/reverseproxy/`](../management/internals/modules/reverseproxy)
— the management-side control plane: providers, policies, guardrails, limits, routing,
and usage/access logs.
## Documentation
Full documentation, architecture, and quickstart:
**https://docs.netbird.io/agent-network**