Models

An agent names its model as provider/model and the provider's skill in its file:

---
name: writer
model: anthropic/claude-sonnet-4-6
skills:
  - anthropic
---

webagents models lists every provider, the model format it takes and what it needs on this machine, and marks the ones that are ready here:

webagents models

Keys

A provider is ready when its key is exported in the shell or stored with webagents secrets set. The exported variable always wins. See Configuration for the variable of each provider.

Without the key, and signed in with webagents login, the chat and webagents -p run the same model through Robutler, paid from your credits. An agent with no model: uses a provider you have a key for, or Robutler's default model.

Local Models with Ollama

ollama/<model> runs a model on an Ollama server, with no key:

---
name: local-helper
model: ollama/llama3.2
skills:
  - ollama
---

The server is http://localhost:11434/v1 unless OLLAMA_BASE_URL names another. Ollama is used only when the file names it; it is never picked for an agent that names no model. webagents models marks it ready when the server answers, and webagents doctor checks the agent's model: it says when nothing answers at the address (start ollama serve) and when the model is not pulled yet (ollama pull llama3.2). In the chat, /status shows the model and the address it is reached at.

Any OpenAI-Compatible Endpoint

base_url on a model skill's entry points it at another server that speaks the OpenAI API, such as vLLM, LM Studio or a gateway:

skills:
  - openai:
      base_url: http://localhost:8000/v1

OPENAI_BASE_URL does the same for every agent when the file names no base_url.

Failover

fallback_models lists models to try, in order, when the agent's model does not answer:

---
name: support
model: openai/gpt-4.1
fallback_models:
  - anthropic/claude-sonnet-4-6
  - ollama/llama3.2
skills:
  - openai
  - anthropic
  - ollama
---

The next model is tried when a request times out or gets no answer, or the provider answers 408, 429, 500, 502, 503 or 504, and only before the model has started to answer, so a reply is never repeated. Any other failure, such as a bad request or a refused key, is reported as it is. Each switch leaves a note in the transcript: openai/gpt-4.1 did not answer (HTTP 503); trying anthropic/claude-sonnet-4-6. A caller of a served agent is never told the provider's address, only that it could not be reached.

A fallback that cannot be built on this machine, for example one whose key is not set, is left out and reported when the agent loads. The failover works the same in the chat, serve, the daemon and schedules.

What a Conversation Costs

The chat shows the conversation's tokens and, when it is known, their cost in credits: in the footer after each reply, in /status, and in the line printed on leaving.

Robutler's models: the chat shows the cost the platform reports with a reply, as it is (1.5k tokens, 0.0042 credits), and tokens alone when a reply reports none.

Your own provider key has no bill to read, so the cost is estimated from the provider's list price and written with a tilde: 2.5k tokens, ~0.0006 credits. Cache reads and long-context tiers are not counted.

A model the price table does not know, and a local Ollama model, show tokens alone.

The cost of a conversation is kept with it, so /resume shows it again.