Setup

feynman setup connects a model provider, offers optional packages, signs you in to alphaXiv, and offers to install pandoc for preview. You can rerun it at any time.

When you launch feynman without a usable model, it asks only for the model. If you set ANTHROPIC_API_KEY or OPENAI_API_KEY first, it skips the question and opens the chat. If you cancel, Feynman exits and prints how to add a model; nothing you typed is sent.

feynman setup

Model access

If no authenticated model is available yet, setup asks how to connect one:

Choose how to configure model access:
> OAuth login (recommended: ChatGPT, Claude Max, Copilot, ...)
  API key or custom provider (OpenAI, Anthropic, ZAI, Kimi, MiniMax, ...)
  Cancel

OAuth opens a browser to sign in. On a remote or headless machine where the browser callback cannot reach Feynman, paste the final redirect URL or authorization code into the prompt. The API-key flow lists every provider Pi can sign in to with a key (OpenAI, Anthropic, Google, DeepSeek, Fireworks, Together, NVIDIA, Amazon Bedrock, Google Vertex and more), plus LM Studio, LiteLLM and custom OpenAI-compatible servers. Pi asks for what that provider needs. You can also skip the prompt and set the provider’s environment variable (for example ANTHROPIC_API_KEY or OPENAI_API_KEY) instead.

Credentials are stored in ~/.feynman/agent/auth.json with user-only file permissions. Setting the key in your shell or .env keeps it off disk.

Once a provider is connected, setup picks the recommended research model from what you are signed in to, such as openai/gpt-5.6-terra or anthropic/claude-opus-5-5. If you already have a valid default, setup keeps it. To change it later:

feynman model list
feynman model set <provider/model>

model set also accepts provider:model. Run feynman model set with no model to pick from a list. Pro-class model IDs are rejected.

Amazon Bedrock

Choose Amazon Bedrock. Pi asks how to sign in: a Bedrock bearer token, an AWS profile, or the AWS credentials already on the machine (AWS_PROFILE, ~/.aws, SSO, ECS/IRSA, and EC2 instance roles). Bedrock models then appear in feynman model list.

Local models: LM Studio, LiteLLM, Ollama, vLLM

For LM Studio, start its local server, load a model, and choose LM Studio (local OpenAI-compatible server). The defaults are:

Base URL: http://localhost:1234/v1
API key: lm-studio

For LiteLLM, start the proxy and choose LiteLLM Proxy (OpenAI-compatible gateway). The default base URL is http://localhost:4000/v1; if the proxy requires a master key, Feynman reads it from LITELLM_MASTER_KEY.

For both, Feynman reads the server’s /models endpoint to prefill model IDs.

For Ollama, vLLM, or another OpenAI-compatible server, choose Custom provider (local/self-hosted/proxy). Typical Ollama settings:

API mode: openai-completions
Base URL: http://localhost:11434/v1
Send Authorization header: No
API key / resolver: local
Model id(s): llama3.1:8b

Custom providers are saved to ~/.feynman/agent/models.json. Pi only lists a provider that has an apiKey, so if you edit that file by hand, keep a placeholder such as "apiKey": "local" for a local server. To read a key from an environment variable, write it as "$MY_API_KEY"; a bare name such as MY_API_KEY is sent as the key itself. Then confirm and select the model:

feynman model list
feynman model set <provider>/<model-id>

Small local models often skip the multi-step research workflows and reply in chat without writing files to outputs/. A context window that is too small causes the same symptom: Ollama’s default is only a few thousand tokens. Serve the model with a larger one (for example OLLAMA_CONTEXT_LENGTH=65536 ollama serve) and set the matching contextWindow and maxTokens on the model’s entry in ~/.feynman/agent/models.json, since custom models otherwise default to 128k and 16k.

Optional packages

Feynman ships with alphaXiv access, web access, document parsing, subagents, and /btw side conversations. Setup can also install optional Pi packages:

memory: preference and correction memory across research sessions
hindsight: Hindsight-backed memory; requires a Hindsight server or Hindsight Cloud account

Skip this step and install later with feynman packages install <preset>; remove one with feynman packages remove <preset>. feynman packages list shows both.

alphaXiv and preview

Setup then offers to sign you in to alphaXiv (same as feynman alpha login) and to install pandoc for Markdown-to-HTML/PDF preview (same as feynman setup preview).

Editor integration (ACP)

Feynman runs in ACP editors through pi-acp. In Zed, add to settings.json:

"agent_servers": {
  "Feynman": {
    "command": "npx",
    "args": ["-y", "pi-acp"],
    "env": { "PI_ACP_PI_COMMAND": "feynman" }
  }
}

Rerunning setup

Settings live in ~/.feynman/agent/settings.json. Rerunning setup keeps a valid default model and your other settings. To change one thing, use a targeted command such as feynman model set, feynman model login <provider>, or feynman alpha login, or edit the file directly.

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