This feature is in active development. This information was written by an LLM and may be out of date.

Custom Providers

Agency selects models through Smoltalk, which ships providers for OpenAI, Anthropic, Google, and Ollama, plus various built-in hosted open-model providers (OpenRouter, DeepInfra, LiteLLM, and a generic OpenAI-compatible provider — see below). To use any other custom or local provider — for example a local model via smoltalk-llama-cpp — you register it with a small provider module that Agency loads at startup.

Agency never depends on the provider package itself: you install it, and you write the few lines that register it.

Hosted open-model providers (built in)

To run open models (GLM, Qwen, DeepSeek, gpt-oss, …) on a hosted service, use one of smoltalk's four built-in providers — no provider module needed, just a key:

Service	provider value	Base URL	API key (config / env)
OpenRouter	openrouter	baked in (override baseUrl.openRouter)	apiKey.openRouter / OPENROUTER_API_KEY
DeepInfra	deepinfra	baked in (override baseUrl.deepInfra)	apiKey.deepInfra / DEEPINFRA_API_KEY
LiteLLM (self-hosted proxy)	litellm	required: baseUrl.liteLlm / LITELLM_BASE_URL	apiKey.liteLlm / LITELLM_API_KEY
Any OpenAI-compatible API (Fireworks, Together, Groq, …)	openai-compat	required: baseUrl.openAiCompat / OPENAI_COMPAT_BASE_URL	apiKey.openAiCompat / OPENAI_COMPAT_API_KEY

Set the key via the env var, or in agency.json under client.apiKey. Because these model names aren't in smoltalk's model registry, you must always name the provider explicitly — either globally via client.defaultProvider, or per call: llm("...", { provider: "openrouter", model: "z-ai/glm-5.2" }).

You can also supply a URL in the call's options, such as baseUrl: { openAiCompat: "http://localhost:8000/v1" }. See per-call URL configuration.

// agency.json — set OpenRouter as the default provider + model
{
  "client": {
    "apiKey": { "openRouter": "sk-or-..." },
    "defaultProvider": "openrouter",
    "defaultModel": "z-ai/glm-5.2"
  }
}

OpenRouter and DeepInfra return the real per-request cost in their responses, so Agency's cost tracking works automatically with no price table. Services reached via openai-compat (e.g. Fireworks, Together) report token usage but not cost. LiteLLM cost is read from a response header and is available for non-streaming calls only.

Using a hosted provider with agency agent

The agent recognizes these via the existing --provider / --model flags:

# OpenRouter has built-in default models, so the provider name is enough.
# (Auto-detected too: if OPENROUTER_API_KEY is the only LLM key set, a bare
# `agency agent` selects it. Override the models with --model / --fastmodel /
# --slowmodel.)
export OPENROUTER_API_KEY=sk-or-...
agency agent --provider openrouter

# LiteLLM has no built-in defaults (model names are gateway-specific) and needs
# a base URL, so pass --model and set both env vars. The agent validates the
# key and base URL up front.
export LITELLM_API_KEY=...  LITELLM_BASE_URL=https://your-proxy/v1
agency agent --provider litellm --model your-gateway-model

Any other provider (deepinfra, openai-compat, or a custom/local one) also works with --provider X --model Y — it just has no baked defaults, so a model is required.

Local models (the easy way)

Install the local-model package once, then use the agency local tools or the agent's --local-model flag:

npm i -g smoltalk-llama-cpp

agency local download qwen3.5-2b          # curated name, hf: URI, or .gguf path
agency local list                         # downloaded models + sizes
agency local alias add my7b hf:Qwen/Qwen2.5-7B-Instruct-GGUF:Q4_K_M
agency local alias list                   # curated names + your aliases
agency local remove qwen3.5-2b

agency agent --local-model qwen3.5-2b     # download (if needed) + run locally

--local-model runs the local model as both the fast and slow model, so the deep subagents stay local too; it ignores --model/--provider/--fastmodel/ --slowmodel. Downloads cache under ~/.agency-agent/models (override with AGENCY_MODELS_DIR).

Programmatically, std::agency/local exposes the same operations (downloadModel, listDownloadedModels, aliasModel, registerLocalModel, …), and std::llm's registerProviderModule(path) registers any custom provider module at runtime. That call raises std::llm::registerProvider with the module's real path, because the module runs as code in the process. Approve it interactively, or with a policy rule that names the path; no built-in policy approves it.

The rest of this page covers the fully manual route for any custom provider.

---

1. Install the provider package

npm install -g smoltalk-llama-cpp   # brings in node-llama-cpp

2. Write a provider module

A provider module is an ES module that exports register. It receives Agency's registerProvider — do not import registerProvider from smoltalk yourself; using the injected one guarantees the provider is registered into the smoltalk instance Agency actually uses.

// llama-setup.mjs
import { LlamaCPP } from "smoltalk-llama-cpp";

export function register({ registerProvider }) {
  registerProvider("llama-cpp", LlamaCPP);
}

3. Tell Agency to load it

Either in agency.json (relative paths resolve against the directory you run Agency from):

{
  "client": {
    "providerModules": ["./llama-setup.mjs"]
  }
}

…or via an environment variable (comma-separated):

export AGENCY_PROVIDER_MODULES="/abs/path/to/llama-setup.mjs"

Both sources are merged. A module that fails to load, lacks a register export, or throws during register is a fatal startup error — Agency will not silently fall back.

Prefer absolute paths

Relative paths resolve against the current working directory. For the env var — which is inherited by subprocesses that may run with a different cwd (see below) — prefer absolute paths so they resolve everywhere.

4. Use the provider

Select it like any other provider — by flag (agent), with setModel / setLlmOptions, or per call. smoltalk-llama-cpp takes the .gguf path as the model and the model directory via metadata:

import { setLlmOptions } from "std::llm"

node main() {
  setLlmOptions({ provider: "llama-cpp", model: "my-model.gguf" })
  return llm("Hello!", { metadata: { llamaCppModelDir: "./models" } })
}

For the Agency agent, the existing model flags work once the provider is registered:

agency agent --provider llama-cpp --model my-model.gguf

Subprocesses (run / runFile)

Agency code that spawns a subprocess via std::agency's run / runFile runs a separately-compiled program in a fresh process with its own provider registry, so providers must be re-registered there. Both happen automatically:

• The AGENCY_PROVIDER_MODULES env var is inherited by the subprocess.
• The parent's config-declared providerModules are forwarded to the subprocess (resolved to absolute paths against the parent's cwd first), so a child loads the same providers the parent has — even though it was compiled separately and may run with a different cwd.

You don't need to duplicate provider config for subprocess code.

How it works

Agency loads provider modules once per process, before any llm() call, in the same bootstrap that initializes globals — so a registered provider is available everywhere, including forks, agency serve, subprocesses, and agency pack artifacts. The provider package is loaded at runtime from your install; it is never bundled into a packed artifact.