penguin-harness/packages/docs/content/models.en.md

title, description

title	description
Models & Providers	Model access through the single AgentHub gateway, (provider, model_id) identity, the per-Project model table, credentials and thinking levels.

One gateway

All model access goes through one gateway library: @prismshadow/agenthub (AutoLLMClient). Core defines only a thin LLMInterface (see Interfaces); per-provider protocol adaptation happens inside AgentHub, so 1000+ online and local models are reachable, including any OpenAI-compatible endpoint. The protocol translation lives in packages/core/src/llm/generative-model.ts.

Model identity

A model's identity is always the (provider, model_id) pair: provider is a config group name, model_id the upstream request id sent to AgentHub unchanged. The two are independent fields — concatenating them into one string is forbidden anywhere in the pipeline.

Every interface that names a model takes the complete pair: the CLI, the HTTP API, and the SDK all reject half a reference instead of completing it. The provider is never inferred from the model id and has no default, because gateways resell vendor models under their upstream ids — a guessed group would send the entry's credential to a vendor nobody named. Where a model reference is optional at all (penguin run / chat, Session creation, Schedules), the choice is between the whole pair and nothing: omit both halves to take the Project's default model.

The per-Project model table

Each Project's available models are recorded in the hidden .project_config.toml, maintained via the CLI (penguin config model add / default / list, see CLI Reference) or the Web UI — never hand-edited. ModelEntry fields:

Field	Meaning
provider	Config group name; paired with model_id it forms the unique key
model_id	Upstream request id
context_window	Context window
client_type	Protocol hint (e.g. openai); inferred by AgentHub from the model id when omitted
display_name	Display name
vision	Whether image input is supported, default true
pricing	Three price buckets (unit usd_per_mtok, USD per million tokens): cache_read / cache_write / output
api_key / base_url	Inlined credentials, both optional; when blank, AgentHub falls back to environment variables

A fresh Project defaults to deepseek-v4-pro. A vision_model entry can additionally designate the proxy model that describe_image uses for text-only session models (see Tools & Approval); it is unset by default.

File shape (illustrative):

default_model = { provider = "deepseek", model_id = "deepseek-v4-pro" }
vision_model = { provider = "google", model_id = "gemini-3.1-pro-preview" }

[[models]]
provider = "deepseek"
model_id = "deepseek-v4-pro"
context_window = 1000000

[[models]]
provider = "custom"
model_id = "my-model"
client_type = "openai"
base_url = "https://llm.example.com/v1"
api_key = "sk-..."

For a model tagged vision = false (e.g. the DeepSeek series), images from conversation input are saved to the Session scratchpad and handed over as a file path spliced into the text, and the image-reading tool switches to describe_image.

Built-in provider groups

Built-in groups and their env-var fallbacks (catalog source: packages/core/src/state/model-catalog.ts); each group also has a _BASE_URL variant (e.g. ANTHROPIC_BASE_URL):

Provider	API key env var	Notes
deepseek	DEEPSEEK_API_KEY	Group of the default model
openrouter	OPENAI_API_KEY	OpenAI-compatible gateway, preset base URL https://openrouter.ai/api/v1
fireworks	OPENAI_API_KEY	Fireworks AI (OpenAI-compatible), preset base URL https://api.fireworks.ai/inference/v1; API model ids look like accounts/fireworks/models/<slug>
siliconflow	OPENAI_API_KEY	OpenAI-compatible gateway, preset base URL https://api.siliconflow.cn/v1
qwen-token-plan	OPENAI_API_KEY	Qwen Token Plan subscription gateway, preset base URL https://token-plan.cn-beijing.maas.aliyuncs.com/compatible-mode/v1; pricing from each model page's official list price (the preview model has only a quota-multiplier promo, no list price)
qwen-pay-as-you-go	OPENAI_API_KEY	Qwen pay-as-you-go (DashScope's OpenAI-compatible endpoint), preset base URL https://dashscope.aliyuncs.com/compatible-mode/v1; resold third-party models keep vendor-prefixed ids (e.g. kimi/kimi-k3)
google	GEMINI_API_KEY
anthropic	ANTHROPIC_API_KEY
openai	OPENAI_API_KEY
zhipu	ZAI_API_KEY
moonshot	MOONSHOT_API_KEY
custom	OPENAI_API_KEY	Any OpenAI-protocol endpoint

The gateway groups (openrouter / fireworks / siliconflow / qwen-token-plan / qwen-pay-as-you-go) go through AgentHub's OpenAI client, so with blank credentials they read OPENAI_API_KEY — not a gateway-specific variable.

Some models in the preset catalog: deepseek-v4-pro / deepseek-v4-flash, gemini-3.1-pro-preview, claude-opus-4-8 / claude-sonnet-4-6, gpt-5.5, glm-5.2, kimi-k2.6, qwen3.8-max-preview (not exhaustive).

Thinking levels

Five levels: none | low | medium | high | xhigh, configured per Agent as model.thinking_level in system_config.yaml, default medium. See Configuration.

Models decoupled from Agents

An Agent never binds a model: the model is chosen when a Session is created and stays locked for that Session; the same Agent can run different Sessions on different models. The three pricing buckets feed the usage/cost center's per-Token accounting.

Credential handling:

• an inline api_key is stored in the hidden Project config file with mode 0600;
• the Web UI masks it on display;
• blank credentials fall back to the provider's environment variables.

Connectivity test

The Web Models page offers a per-model connectivity test (owner only).