Provider Registry

July 22, 2026 · View on GitHub

This registry describes provider behavior that is wired into the current Codewhale codebase. It is intentionally conservative: shipped entries are limited to provider IDs, config keys, auth paths, base URLs, model resolution, and capability metadata that the code already knows about.

DeepSeek remains the default provider, but every entry in ProviderKind::ALL and PROVIDER_REGISTRY is a first-class selectable provider route. Hosted routes, generic OpenAI-compatible endpoints, the OpenAI Codex/ChatGPT route, native Anthropic, and local runtimes all run the same terminal harness against the selected provider/model/base URL.

Sources to keep in sync:

crates/config/src/lib.rs - shared provider IDs, defaults, env precedence.
crates/tui/src/config.rs - TUI provider IDs, provider capability metadata, and provider-specific env handling.
crates/agent/src/lib.rs - static ModelRegistry used by codewhale model list and codewhale model resolve.
config.example.toml and docs/CONFIGURATION.md - user-facing config examples and environment variable reference.
scripts/check-provider-registry.py - drift check for canonical provider IDs, live TUI provider IDs, TOML table names, static registry rows, and documented defaults.

Provider Selection

The canonical provider IDs are:

deepseek, deepseek-anthropic, nvidia-nim, openai, atlascloud, wanjie-ark, volcengine, openrouter, xiaomi-mimo, novita, fireworks, siliconflow, arcee, siliconflow-CN, moonshot, sglang, vllm, ollama, huggingface, together, qianfan, openai-codex, anthropic, openmodel, zai, stepfun, minimax, deepinfra, sakana, longcat, opencode-go, meta, telecomjs, and xai.

Use any of these surfaces to select a provider:

CLI: codewhale --provider <id>
TUI: /provider <id> or the provider picker
Env: CODEWHALE_PROVIDER=<id>; DEEPSEEK_PROVIDER=<id> is the legacy alias
Config: provider = "<id>"

deepseek-cn, deepseek_china, deepseekcn, and deepseek-china are accepted as legacy aliases for deepseek. They do not select a different official host; DeepSeek uses the same official API host worldwide.

deepseek_anthropic, deepseek-claude, and deepseek_claude select deepseek-anthropic, the opt-in DeepSeek route that speaks the Anthropic Messages API at https://api.deepseek.com/anthropic. It keeps the normal DeepSeek API key path but uses x-api-key plus anthropic-version: 2023-06-01 instead of Bearer auth.

huggingface, hugging-face, hugging_face, and hf all select the Hugging Face Inference Providers route. This is the OpenAI-compatible router path for chat/inference, not Hub browsing, model-card inspection, uploads, or artifact export.

telecomjs, telecom-js, telecom_js, telecomjs-cn, and tokenhub all select the TelecomJS TokenHub route. Its authenticated /models catalog is key-scoped and remains isolated from every other provider's live snapshot.

Fresh shared config writes to ~/.codewhale/config.toml. Existing ~/.deepseek/config.toml files are still read for compatibility.

Wire Protocol Compatibility

Provider selection is explicit. A model string prefix such as deepseek-ai/..., deepseek/..., qwen/..., or arcee-ai/... is a provider-owned wire ID or catalog namespace hint under the selected provider. It is not a provider switch and must not be treated as proof that the route is DeepSeek, OpenRouter, or any other provider.

Set the route with provider = "<id>", CODEWHALE_PROVIDER=<id>, or codewhale --provider <id>. Set the request model with CODEWHALE_MODEL, a provider-specific model env var, top-level default_text_model, or [providers.<table>].model. Set the endpoint with CODEWHALE_BASE_URL, a provider-specific base URL env var, or [providers.<table>].base_url. Set auth with codewhale auth set --provider <id>, [providers.<table>].api_key, or the listed provider env vars.

Provider ID	TOML table	Wire protocol	Auth env vars
`deepseek`	`[providers.deepseek]`	OpenAI Chat Completions	`DEEPSEEK_API_KEY`
`deepseek-anthropic`	`[providers.deepseek_anthropic]`	Anthropic Messages	`DEEPSEEK_API_KEY`
`nvidia-nim`	`[providers.nvidia_nim]`	OpenAI Chat Completions	`NVIDIA_API_KEY`, `NVIDIA_NIM_API_KEY`, `DEEPSEEK_API_KEY`
`openai`	`[providers.openai]`	OpenAI Chat Completions	`OPENAI_API_KEY`
`atlascloud`	`[providers.atlascloud]`	OpenAI Chat Completions	`ATLASCLOUD_API_KEY`
`wanjie-ark`	`[providers.wanjie_ark]`	OpenAI Chat Completions	`WANJIE_ARK_API_KEY`, `WANJIE_API_KEY`, `WANJIE_MAAS_API_KEY`
`volcengine`	`[providers.volcengine]`	OpenAI Chat Completions	`VOLCENGINE_API_KEY`, `VOLCENGINE_ARK_API_KEY`, `ARK_API_KEY`
`openrouter`	`[providers.openrouter]`	OpenAI Chat Completions	`OPENROUTER_API_KEY`
`xiaomi-mimo`	`[providers.xiaomi_mimo]`	OpenAI Chat Completions	`XIAOMI_MIMO_TOKEN_PLAN_API_KEY`, `MIMO_TOKEN_PLAN_API_KEY`, `XIAOMI_MIMO_API_KEY`, `XIAOMI_API_KEY`, `MIMO_API_KEY`
`novita`	`[providers.novita]`	OpenAI Chat Completions	`NOVITA_API_KEY`
`fireworks`	`[providers.fireworks]`	OpenAI Chat Completions	`FIREWORKS_API_KEY`
`siliconflow`	`[providers.siliconflow]`	OpenAI Chat Completions	`SILICONFLOW_API_KEY`
`arcee`	`[providers.arcee]`	OpenAI Chat Completions	`ARCEE_API_KEY`
`siliconflow-CN`	`[providers.siliconflow_cn]`	OpenAI Chat Completions	`SILICONFLOW_API_KEY`
`moonshot`	`[providers.moonshot]`	OpenAI Chat Completions	`MOONSHOT_API_KEY`, `KIMI_API_KEY`
`sglang`	`[providers.sglang]`	OpenAI Chat Completions	`SGLANG_API_KEY`
`vllm`	`[providers.vllm]`	OpenAI Chat Completions	`VLLM_API_KEY`
`ollama`	`[providers.ollama]`	Ollama-local OpenAI-compatible Chat Completions	`OLLAMA_API_KEY`
`huggingface`	`[providers.huggingface]`	OpenAI Chat Completions	`HUGGINGFACE_API_KEY`, `HF_TOKEN`
`together`	`[providers.together]`	OpenAI Chat Completions	`TOGETHER_API_KEY`
`qianfan`	`[providers.qianfan]`	OpenAI Chat Completions	`QIANFAN_API_KEY`, `BAIDU_QIANFAN_API_KEY`
`openai-codex`	`[providers.openai_codex]`	OpenAI Responses	`OPENAI_CODEX_ACCESS_TOKEN`, `CODEX_ACCESS_TOKEN`
`anthropic`	`[providers.anthropic]`	Anthropic Messages	`ANTHROPIC_API_KEY`
`openmodel`	`[providers.openmodel]`	Anthropic Messages	`OPENMODEL_API_KEY`
`zai`	`[providers.zai]`	OpenAI Chat Completions	`ZAI_API_KEY`, `Z_AI_API_KEY`
`stepfun`	`[providers.stepfun]`	OpenAI Chat Completions	`STEPFUN_API_KEY`, `STEP_API_KEY`
`minimax`	`[providers.minimax]`	OpenAI Chat Completions	`MINIMAX_API_KEY`
`deepinfra`	`[providers.deepinfra]`	OpenAI Chat Completions	`DEEPINFRA_API_KEY`, `DEEPINFRA_TOKEN`
`sakana`	`[providers.sakana]`	OpenAI Chat Completions	`FUGU_API_KEY`, `SAKANA_API_KEY`
`longcat`	`[providers.longcat]`	OpenAI Chat Completions	`LONGCAT_API_KEY`
`opencode-go`	`[providers.opencode_go]`	OpenAI Chat Completions	`OPENCODE_GO_API_KEY`
`meta`	`[providers.meta]`	OpenAI Chat Completions	`META_MODEL_API_KEY`, `MODEL_API_KEY`
`telecomjs`	`[providers.telecomjs]`	OpenAI Chat Completions	`TELECOMJS_API_KEY`
`xai`	`[providers.xai]`	OpenAI Chat Completions	`XAI_API_KEY`

Default base URLs and models for each route are listed in the shipped provider table below. The wire protocol values above are derived from crates/config/src/provider.rs: ChatCompletions is the default, openai-codex overrides to Responses, and deepseek-anthropic, anthropic, plus openmodel override to AnthropicMessages.

Auth And Env Rules

For hosted providers, codewhale auth set --provider <id> saves an API key for that provider. API-key environment variables are fallback inputs after saved config and keyring credentials; an explicit process-level --api-key still wins for that launch.

For base URL and model selection, prefer:

CODEWHALE_BASE_URL / CODEWHALE_MODEL for the active provider.
Provider-specific base URL/model env vars when listed below.
DEEPSEEK_BASE_URL, DEEPSEEK_MODEL, and DEEPSEEK_DEFAULT_TEXT_MODEL as legacy aliases.

Non-local http:// base URLs are rejected unless DEEPSEEK_ALLOW_INSECURE_HTTP=1 is set. Loopback HTTP URLs are allowed for self-hosted runtimes.

Custom DeepSeek-Compatible Endpoints

Most custom DeepSeek-compatible deployments can use an existing provider ID. Do not create [providers.deepseek_custom]; the provider table names are fixed. Instead, choose the closest shipped route and override its endpoint/model:

DeepSeek-compatible hosted API: keep provider = "deepseek" and set [providers.deepseek].base_url plus [providers.deepseek].model, or launch with DEEPSEEK_BASE_URL and DEEPSEEK_MODEL.
Generic OpenAI-compatible gateway: use provider = "openai" with [providers.openai].base_url plus [providers.openai].model, or launch with OPENAI_BASE_URL and OPENAI_MODEL.
Multiple named OpenAI-compatible gateways, or local routes you want to pin from an AgentProfile, can use a custom table such as [providers.lm-studio] kind = "openai-compatible" and select it with provider = "lm-studio" or a profile provider = "lm-studio".
Local OpenAI-compatible runtimes: use provider = "vllm", "sglang", or "ollama" with the matching provider-specific base URL/model values.

Example user config for a DeepSeek-compatible host:

provider = "deepseek"

[providers.deepseek]
api_key = "YOUR_API_KEY"
base_url = "https://your-provider.example/v1"
model = "deepseek-ai/DeepSeek-V4-Pro"

Example user config for a generic gateway:

provider = "openai"

[providers.openai]
api_key = "YOUR_GATEWAY_API_KEY"
base_url = "https://gateway.example/v1"
model = "your-deepseek-compatible-model"

Alibaba Bailian / Model Studio DashScope exposes Qwen through an OpenAI-compatible Chat Completions endpoint. Configure it as an explicit openai provider route so the API key, base URL, and wire model stay scoped to that provider:

provider = "openai"

[providers.openai]
api_key = "YOUR_DASHSCOPE_API_KEY"
base_url = "https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
model = "qwen-plus"
context_window = 1000000

The Singapore endpoint above sends chat requests to /chat/completions; Alibaba also documents regional compatible-mode/v1 base URLs for Virginia, Beijing, Hong Kong, and Frankfurt. Keep the API key and base URL from the same region. The qwen-plus model ID is preserved as an OpenAI provider-scoped wire ID; Codewhale does not infer a switch to OpenRouter, DeepSeek, or another provider from the qwen prefix. Set context_window to the gateway/model's real total context window when it differs from Codewhale's static model metadata.

Private gateways with broken or intercepted certificates should use SSL_CERT_FILE with a trusted CA bundle. The legacy insecure_skip_tls_verify = true key is still parsed so codewhale doctor can report stale configs, but provider clients reject it instead of skipping TLS certificate verification.

Keep provider, api_key, and base_url in user config or process environment. Project-local config overlays intentionally cannot set those keys, so a repository cannot silently redirect prompts or credentials to another endpoint.

Credential Links

Provider setup surfaces use the same typed credential metadata as onboarding, /provider, /links, setup receipts, and doctor output. A missing URL is intentional: local, OAuth-only, and user-defined routes show their supported configuration path instead of guessing a vendor page.

Provider ID	Credential or console link
`deepseek`, `deepseek-anthropic`	DeepSeek API keys
`nvidia-nim`	NVIDIA NIM API keys
`openai`	OpenAI API keys
`atlascloud`	Atlas Cloud API keys
`wanjie-ark`	Wanjie MaaS APIKEY docs
`volcengine`	Volcengine Ark API keys
`openrouter`	OpenRouter keys
`xiaomi-mimo`	Xiaomi MiMo Token Plan
`novita`	Novita key management
`fireworks`	Fireworks API keys
`siliconflow`	SiliconFlow global API keys
`siliconflow-CN`	SiliconFlow China API keys
`arcee`	Arcee API key guide
`moonshot`	Kimi API platform keys or Kimi Code membership console
`zai`	Z.ai model API
`stepfun`	StepFun Open Platform
`minimax`, `minimax-anthropic`	MiniMax interface keys
`huggingface`	Hugging Face tokens
`deepinfra`	DeepInfra API keys
`together`	Together API keys
`qianfan`	Baidu Cloud access keys
`anthropic`	Anthropic API keys
`openmodel`	OpenModel console (authentication guide)
`openai-codex`	Run `codex login`, then explicitly grant Codewhale read-only access to that exact credential file; no Codewhale API key is stored.
`sglang`, `vllm`, `ollama`	Local OpenAI-compatible endpoints are keyless by default; configure a key only when the server requires one.
`sakana`	Sakana AI API keys (get started)
`longcat`	Meituan LongCat platform
`opencode-go`	OpenCode Zen
`meta`	Meta Model API
`telecomjs`	TelecomJS TokenHub
`xai`	xAI Console for an API key, Codewhale-owned device login, or explicitly consented read-only Grok CLI credentials.
`custom`	Set the named provider's `base_url` and `api_key_env` or `api_key`; no canonical vendor credential page exists.

For Kimi, the official quickstart directs users to sign in, open API Keys, create and copy a key, and keep it secret. Codewhale links straight to that console and accepts the copied key. It never probes or impersonates kimi_cli/kimi_code_cli; first-class Kimi OAuth remains blocked on a vendor-registered Codewhale identity.

Credential files owned by another CLI are disabled by default. Without an explicit grant, provider discovery, setup, routing, auth status, and doctor do not stat, read, refresh, contact an identity provider for, or rewrite Codex, Grok, Kimi, or future external credential files.

Codewhale currently supports exact-path, provider-scoped read-only grants for the Codex CLI and Grok CLI:

codex login
codewhale auth external-consent --provider openai-codex --mode read-only

grok login
codewhale auth external-consent --provider xai --mode read-only

codewhale auth status --provider openai-codex
codewhale auth external-revoke --provider openai-codex

Pass --path /absolute/path/to/auth.json when the external CLI uses a custom location. Consent persists the provider, external owner, exact absolute path, and consent schema version. Later environment-variable changes do not redirect that authority to a different file. Read-only grants never refresh, contact an identity/discovery service, or rewrite the external file; normal requests to the explicitly selected provider may use its token. An expired token fails with login guidance. Doctor reports structural consent/config state without opening credential files and is always non-mutating.

managed is reserved for a future provider-specific preservation adapter. v0.9.1 rejects it before file or network I/O because no reviewed adapter can yet preserve every unknown external schema field safely. Codewhale-started xAI device login instead atomically activates a Codewhale-owned generation named $CODEWHALE_HOME/credentials/xai-auth-<generation>.json, stores only that validated basename in config, and revokes any Grok-file grant. Superseded generations are cleaned only after the new config pointer commits. Kimi remains API-key-only; external consent for Kimi is rejected.

Shipped Providers

Provider ID	TOML table	Auth env	Base URL env and default	Default or static models	Notes
`deepseek`	`[providers.deepseek]`	`DEEPSEEK_API_KEY`	`CODEWHALE_BASE_URL` / `DEEPSEEK_BASE_URL`; default `https://api.deepseek.com/beta`	`deepseek-v4-pro`, `deepseek-v4-flash`; compatibility aliases `deepseek-chat`, `deepseek-reasoner`	First-class default. Beta URL enables strict tool mode, chat prefix completion, and FIM completion. Set `https://api.deepseek.com` or `/v1` explicitly to opt out of beta-only features.
`deepseek-anthropic`	`[providers.deepseek_anthropic]`	`DEEPSEEK_API_KEY`	`DEEPSEEK_ANTHROPIC_BASE_URL`; default `https://api.deepseek.com/anthropic`	`deepseek-v4-pro`, `deepseek-v4-flash`; compatibility aliases `deepseek-chat`, `deepseek-reasoner`	Opt-in DeepSeek route for the Anthropic Messages wire protocol. Uses `/v1/messages`, `x-api-key`, and `anthropic-version: 2023-06-01`. Keep `provider = "deepseek"` for the default Chat Completions path.
`nvidia-nim`	`[providers.nvidia_nim]`	`NVIDIA_API_KEY`, `NVIDIA_NIM_API_KEY`, fallback `DEEPSEEK_API_KEY`	`NVIDIA_NIM_BASE_URL`, `NIM_BASE_URL`, `NVIDIA_BASE_URL`; default `https://integrate.api.nvidia.com/v1`	`deepseek-ai/deepseek-v4-pro`, `deepseek-ai/deepseek-v4-flash`	Hosted DeepSeek V4 through NVIDIA NIM. `NVIDIA_NIM_MODEL` is accepted by the TUI config path.
`openai`	`[providers.openai]`	`OPENAI_API_KEY`	`OPENAI_BASE_URL`; default `https://api.openai.com/v1`	Registry entries: `deepseek-v4-pro`, `deepseek-v4-flash`, `gpt-5.6`, `gpt-5.6-sol`, `gpt-5.6-terra`, `gpt-5.6-luna`; default config model `deepseek-v4-pro`	Generic OpenAI-compatible route for gateways and custom endpoints, including Alibaba Bailian / Model Studio DashScope when configured with that endpoint. The GPT-5.6 family uses OpenAI's documented 1.05M context, 128K max output, and reasoning levels. Use this for explicit third-party OpenAI-compatible routes instead of inventing a new provider ID. `OPENAI_MODEL` is accepted.
`atlascloud`	`[providers.atlascloud]`	`ATLASCLOUD_API_KEY`	`ATLASCLOUD_BASE_URL`; default `https://api.atlascloud.ai/v1`	Default `deepseek-ai/deepseek-v4-flash`; explicit `vendor/model-id` values pass through when AtlasCloud is selected	OpenAI-compatible hosted route. `ATLASCLOUD_MODEL` is accepted by the TUI config path, the static `ModelRegistry` keeps DeepSeek V4 fallback rows, and provider-hinted CLI model IDs are sent to AtlasCloud exactly as requested. Use Atlas Cloud's own catalog or Coding Plan page for the current provider-owned model list and pricing.
`wanjie-ark`	`[providers.wanjie_ark]`	`WANJIE_ARK_API_KEY`, `WANJIE_API_KEY`, `WANJIE_MAAS_API_KEY`	`WANJIE_ARK_BASE_URL`, `WANJIE_BASE_URL`, `WANJIE_MAAS_BASE_URL`; default `https://maas-openapi.wanjiedata.com/api/v1`	`deepseek-reasoner`	OpenAI-compatible hosted route. `WANJIE_ARK_MODEL`, `WANJIE_MODEL`, and `WANJIE_MAAS_MODEL` are accepted.
`volcengine`	`[providers.volcengine]`	`VOLCENGINE_API_KEY`, `VOLCENGINE_ARK_API_KEY`, `ARK_API_KEY`	`VOLCENGINE_BASE_URL`, `VOLCENGINE_ARK_BASE_URL`, `ARK_BASE_URL`; default `https://ark.cn-beijing.volces.com/api/coding/v3`	`DeepSeek-V4-Pro`, `DeepSeek-V4-Flash`	Volcengine/Volcano Engine Ark OpenAI-compatible coding endpoint. `VOLCENGINE_MODEL` and `VOLCENGINE_ARK_MODEL` are accepted.
`openrouter`	`[providers.openrouter]`	`OPENROUTER_API_KEY`	`OPENROUTER_BASE_URL`; default `https://openrouter.ai/api/v1`	`deepseek/deepseek-v4-pro`, `deepseek/deepseek-v4-flash`; recent large IDs include `arcee-ai/trinity-large-thinking`, `minimax/minimax-m3`, `xiaomi/mimo-v2.5-pro`, `qwen/qwen3.6-flash`, `qwen/qwen3.6-35b-a3b`, `qwen/qwen3.6-max-preview`, `qwen/qwen3.6-27b`, `qwen/qwen3.6-plus`, `google/gemma-4-31b-it`, `z-ai/glm-5.1`, `z-ai/glm-5.2`, `moonshotai/kimi-k2.7-code`, `moonshotai/kimi-k2.6`	Additive open-model routing layer. It does not replace DeepSeek; it lets users route supported model IDs through OpenRouter when they choose it.
`xiaomi-mimo`	`[providers.xiaomi_mimo]`	`XIAOMI_MIMO_TOKEN_PLAN_API_KEY`, `MIMO_TOKEN_PLAN_API_KEY`, `XIAOMI_MIMO_API_KEY`, `XIAOMI_API_KEY`, `MIMO_API_KEY`	`XIAOMI_MIMO_BASE_URL`, `MIMO_BASE_URL`, `XIAOMI_MIMO_MODE`, `MIMO_MODE`; default `https://token-plan-sgp.xiaomimimo.com/v1`	Chat: `mimo-v2.5-pro`, `mimo-v2.5-pro-ultraspeed`, `mimo-v2.5`; speech/TTS: `mimo-v2.5-tts`, `mimo-v2.5-tts-voicedesign`, `mimo-v2.5-tts-voiceclone`, `mimo-v2-tts`	Xiaomi MiMo OpenAI-compatible chat completions route. Token Plan keys (`tp-...`) use `api-key` auth and the token-plan endpoint by default; pay-as-you-go mode uses standard API keys (`sk-...`) and `https://api.xiaomimimo.com/v1`. It sends `max_completion_tokens` and uses MiMo's `thinking` field for reasoning control. Token Plan cost/usage is credit/quota based; Codewhale shows it as unknown until Xiaomi exposes a reliable balance API. `codewhale speech` / `tts` uses the TTS models.
`novita`	`[providers.novita]`	`NOVITA_API_KEY`	`NOVITA_BASE_URL`; default `https://api.novita.ai/openai/v1`	`deepseek/deepseek-v4-pro`, `deepseek/deepseek-v4-flash`	OpenAI-compatible hosted route for DeepSeek model IDs. Use config or `CODEWHALE_MODEL` / `DEEPSEEK_MODEL` for model overrides.
`fireworks`	`[providers.fireworks]`	`FIREWORKS_API_KEY`	`FIREWORKS_BASE_URL`; default `https://api.fireworks.ai/inference/v1`	`accounts/fireworks/models/deepseek-v4-pro`	OpenAI-compatible hosted route. Use config or `CODEWHALE_MODEL` / `DEEPSEEK_MODEL` for model overrides.
`siliconflow`	`[providers.siliconflow]`	`SILICONFLOW_API_KEY`	`SILICONFLOW_BASE_URL`; default `https://api.siliconflow.com/v1`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	OpenAI-compatible hosted route. Official docs use the `.com` endpoint. `SILICONFLOW_MODEL` is accepted. Reasoning aliases `deepseek-reasoner` and `deepseek-r1` map to Pro; `deepseek-chat` and `deepseek-v3` map to Flash.
`siliconflow-CN`	`[providers.siliconflow_cn]`	`SILICONFLOW_API_KEY`	`SILICONFLOW_BASE_URL`; default `https://api.siliconflow.cn/v1`	Uses the SiliconFlow model set	China regional SiliconFlow route. Falls back to `[providers.siliconflow]` for api_key / base_url / model when unset. Select it with `provider = "siliconflow-CN"` or `CODEWHALE_PROVIDER=siliconflow-CN`.
`arcee`	`[providers.arcee]`	`ARCEE_API_KEY`	`ARCEE_BASE_URL`; default `https://api.arcee.ai/api/v1`	`trinity-large-thinking`, `trinity-large-preview`	Arcee AI direct OpenAI-compatible route, tracked as 256K-context BF16 serving. `ARCEE_MODEL` is accepted. OpenRouter's `arcee-ai/trinity-large-thinking` remains the OpenRouter namespaced model ID; direct Arcee uses the bare `trinity-large-thinking` ID.
`moonshot`	`[providers.moonshot]`	`MOONSHOT_API_KEY`, `KIMI_API_KEY`	`MOONSHOT_BASE_URL`, `KIMI_BASE_URL`; default `https://api.moonshot.ai/v1`	Direct Moonshot: `kimi-k3`, `kimi-k2.7-code`, `kimi-k2.6`; Kimi Code membership: `k3`, `kimi-for-coding` at `https://api.kimi.com/coding/v1`	Moonshot/Kimi route. `kimi` and `kimi-k2` aliases select `kimi-k2.7-code`; `MOONSHOT_MODEL`, `KIMI_MODEL_NAME`, and `KIMI_MODEL` are accepted. Kimi thinking streams through `reasoning_content`; Codewhale keeps it in Thinking cells and replays it for thinking/tool-call continuity. For direct K3, use exact `base_url = "https://api.moonshot.ai/v1"` and `model = "kimi-k3"`; it is always-thinking and receives top-level `reasoning_effort = "low"
`zai`	`[providers.zai]`	`ZAI_API_KEY`, `Z_AI_API_KEY`	`ZAI_BASE_URL`, `Z_AI_BASE_URL`; default `https://api.z.ai/api/coding/paas/v4`; general API `https://api.z.ai/api/paas/v4`	`GLM-5.2` default; `GLM-5.1`, `GLM-5-Turbo` available	Z.AI GLM Coding Plan route. `GLM-5.2` is the default; set `model = "GLM-5.1"` or `ZAI_MODEL=GLM-5.1` for the smaller model, or `GLM-5-Turbo` for the fast variant used by faster/explore sub-agents.
`stepfun`	`[providers.stepfun]`	`STEPFUN_API_KEY`, `STEP_API_KEY`	`STEPFUN_BASE_URL`, `STEP_BASE_URL`; default `https://api.stepfun.ai/v1`; Coding Plan endpoint `https://api.stepfun.ai/step_plan/v1`	`step-3.7-flash`	StepFun / StepFlash direct OpenAI-compatible route. Set `[providers.stepfun].base_url` or `STEP_BASE_URL` to the Coding Plan URL when using that plan. Offline accounting labels recognized routes as `stepfun-payg` or `stepfun-plan` without persisting the raw endpoint, and only the standard PAYG route receives token pricing. `STEPFUN_MODEL` and `STEP_MODEL` are accepted.
`minimax`	`[providers.minimax]`	`MINIMAX_API_KEY`	`MINIMAX_BASE_URL`; default `https://api.minimax.io/v1`; China `https://api.minimaxi.com/v1`	`MiniMax-M3`, `MiniMax-M2.7`, `MiniMax-M2.7-highspeed`, `MiniMax-M2.5`, `MiniMax-M2.5-highspeed`, `MiniMax-M2.1`, `MiniMax-M2.1-highspeed`, `MiniMax-M2`	MiniMax direct OpenAI-compatible route. Codewhale sends `reasoning_split = true` so MiniMax thinking arrives separately from answer text. Official M3 input modalities are text, image, and video; M2.7 is text-only.
`minimax-anthropic`	`[providers.minimax_anthropic]`	`MINIMAX_API_KEY`	`MINIMAX_ANTHROPIC_BASE_URL`; default `https://api.minimax.io/anthropic`; China `https://api.minimaxi.com/anthropic`	`MiniMax-M3`, `MiniMax-M2.7`	MiniMax direct Anthropic-compatible Messages route. Keep the `/anthropic` suffix because Codewhale appends `/v1/messages`; the route uses `x-api-key`. M3 supports adaptive or disabled thinking. M2.7 always keeps thinking enabled.
`sglang`	`[providers.sglang]`	Optional `SGLANG_API_KEY`	`SGLANG_BASE_URL`; default `http://localhost:30000/v1`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	Self-hosted OpenAI-compatible route. Localhost deployments commonly omit auth. `SGLANG_MODEL` is accepted.
`vllm`	`[providers.vllm]`	Optional `VLLM_API_KEY`	`VLLM_BASE_URL`; default `http://localhost:8000/v1`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	Self-hosted vLLM OpenAI-compatible route. Localhost deployments commonly omit auth. `VLLM_MODEL` is accepted.
`ollama`	`[providers.ollama]`	Optional `OLLAMA_API_KEY`	`OLLAMA_BASE_URL`; default `http://localhost:11434/v1`	`deepseek-coder:1.3b`; provider-hinted custom tags pass through	Self-hosted Ollama OpenAI-compatible route. Localhost deployments commonly omit auth. `OLLAMA_MODEL` is accepted.
`huggingface`	`[providers.huggingface]`	`HUGGINGFACE_API_KEY`, `HF_TOKEN`	`HUGGINGFACE_BASE_URL`, `HF_BASE_URL`; default `https://router.huggingface.co/v1`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	Hugging Face Inference Providers OpenAI-compatible router route. Accepted aliases: `huggingface`, `hugging-face`, `hugging_face`, `hf`. Org-prefixed model IDs pass through. `HUGGINGFACE_MODEL` and `HF_MODEL` are accepted. Hub browsing/export are separate future features.
`deepinfra`	`[providers.deepinfra]`	`DEEPINFRA_API_KEY`, `DEEPINFRA_TOKEN`	`DEEPINFRA_BASE_URL`; default `https://api.deepinfra.com/v1/openai`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	DeepInfra OpenAI-compatible route. Drop-in replacement for OpenAI SDK.
`together`	`[providers.together]`	`TOGETHER_API_KEY`	`TOGETHER_BASE_URL`; default `https://api.together.xyz/v1`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`, `thinkingmachines/inkling`	Together AI OpenAI-compatible route. `TOGETHER_MODEL` is accepted. Model aliases `deepseek-v4-pro` and `deepseek-v4-flash` normalize to Together's org-prefixed IDs; `inkling` and `together-inkling` normalize to Together's published lowercase Inkling wire ID. Inkling uses the exact `none`/`minimal`/`low`/`medium`/`high`/`max` reasoning vocabulary from Thinking Machines' official model repository. Together's launch post currently says Inkling is live with 1M context, while its model detail page says coming soon with 256K context and publishes no price. Until Together's active `/models` endpoint and the Models.dev catalog resolve that conflict, Inkling is not seeded into Codewhale's offline picker and no route-specific context or cost is inferred.
`qianfan`	`[providers.qianfan]`	`QIANFAN_API_KEY`, `BAIDU_QIANFAN_API_KEY`	`QIANFAN_BASE_URL`, `BAIDU_QIANFAN_BASE_URL`; default `https://api.baiduqianfan.ai/v1`	`ernie-4.0-turbo-8k`; provider-scoped custom Qianfan service/model IDs pass through	Baidu Qianfan OpenAI-compatible route. Requests use Bearer auth and Chat Completions payloads. `QIANFAN_MODEL` and `BAIDU_QIANFAN_MODEL` are accepted; aliases `baidu-qianfan`, `baidu_qianfan`, and `baidu` resolve to this provider. Tool/function calling is model-scoped in Qianfan docs, so Codewhale preserves the selected wire model and leaves live capability proof to follow-up route/capability work.
`openai-codex`	`[providers.openai_codex]`	Process token via `OPENAI_CODEX_ACCESS_TOKEN`/`CODEX_ACCESS_TOKEN`, or exact-path read-only consent after `codex login`	`OPENAI_CODEX_BASE_URL`/`CODEX_BASE_URL`; default `https://chatgpt.com/backend-api`	`gpt-5.5`	Experimental. Talks to the OpenAI Responses API at `/codex/responses`. Codex CLI files are disabled by default; `codewhale auth external-consent --provider openai-codex --mode read-only` grants access to one exact file. Codewhale never refreshes or rewrites that external file, and expired tokens fail closed. `OPENAI_CODEX_MODEL`/`CODEX_MODEL` and `OPENAI_CODEX_ACCOUNT_ID`/`CODEX_ACCOUNT_ID` are accepted. Codewhale budgets this route with the 400K Codex-family effective context window even when the public API model table lists a larger native `gpt-5.5` window.
`anthropic`	`[providers.anthropic]`	`ANTHROPIC_API_KEY`	`ANTHROPIC_BASE_URL`; default `https://api.anthropic.com`	`claude-opus-4-8`, `claude-sonnet-4-6` (default), `claude-haiku-4-5`	Native Anthropic Messages API route (`/v1/messages`, `x-api-key` + `anthropic-version: 2023-06-01`) — not OpenAI-compatible. Prompt caching via `cache_control` breakpoints, adaptive thinking + `output_config.effort`, signed thinking blocks replayed verbatim, cache telemetry normalized per #2961. `ANTHROPIC_MODEL` is accepted.
`openmodel`	`[providers.openmodel]`	`OPENMODEL_API_KEY`	`OPENMODEL_BASE_URL`; default `https://api.openmodel.ai`	`deepseek-v4-flash`; provider-scoped custom model IDs pass through	OpenModel Anthropic-compatible Messages route. Uses `/v1/messages`, Bearer auth, and `anthropic-version: 2023-06-01`; OpenModel selects DeepSeek, DashScope, Xiaomi, Claude, and other routes by model id. `OPENMODEL_MODEL` is accepted.
`sakana`	`[providers.sakana]`	`FUGU_API_KEY`, `SAKANA_API_KEY`	`SAKANA_BASE_URL`; default `https://api.sakana.ai/v1`	`fugu` (default), `fugu-ultra-20260615`	Sakana AI Fugu OpenAI-compatible route. Standard Chat Completions wire protocol; streaming supported. `fugu-ultra-20260615` is the heavy/reasoning variant. Env var aliases: `FUGU_API_KEY` (primary), `SAKANA_API_KEY`; provider aliases: `sakana-ai`, `sakana_ai`, `fugu`.
`longcat`	`[providers.longcat]`	`LONGCAT_API_KEY`	`LONGCAT_BASE_URL`; default `https://api.longcat.chat/openai/v1`	`LongCat-2.0` (default)	Meituan LongCat curated model gateway. OpenAI-compatible Chat Completions wire protocol. Sign up at https://longcat.chat/platform for an API key. Provider aliases: `long-cat`, `meituan-longcat`, `meituan`.
`opencode-go`	`[providers.opencode_go]`	`OPENCODE_GO_API_KEY`	`OPENCODE_GO_BASE_URL`; default `https://opencode.ai/zen/go/v1`	`deepseek-v4-pro` (default), `grok-4.5`, `glm-5.2`, `glm-5.1`, `kimi-k3`, `kimi-k2.7-code`, `kimi-k2.6`, `deepseek-v4-flash`, `mimo-v2.5`, `mimo-v2.5-pro`	OpenCode Go subscription route using OpenAI-compatible Chat Completions. `OPENCODE_GO_MODEL` is accepted. Codewhale uses bare wire IDs; familiar `opencode-go/<model-id>` input aliases normalize to the bare ID. Go models documented only on the Anthropic `/messages` endpoint are deliberately not advertised by this route until Codewhale supports per-model wire selection. Billing surfaces show the Go allowance instead of token-price estimates.
`meta`	`[providers.meta]`	`META_MODEL_API_KEY`, `MODEL_API_KEY`	`META_MODEL_API_BASE_URL`, `MODEL_API_BASE_URL`; default `https://api.meta.ai/v1`	`muse-spark-1.1` (default)	Meta Model API public-preview route using OpenAI-compatible Chat Completions. Muse Spark 1.1 keeps its wire ID, tool support, 1M context, 32K output metadata, and `none` through `xhigh` reasoning effort. `META_MODEL_API_MODEL` and `MODEL_API_MODEL` are accepted. Provider aliases: `meta-ai`, `meta_model_api`, `muse`, `muse-spark`.
`telecomjs`	`[providers.telecomjs]`	`TELECOMJS_API_KEY`	`TELECOMJS_BASE_URL`; default `https://aigw.telecomjs.com/v1`	`deepseek-v4-pro` conservative fallback; authenticated `/models` rows when a key is configured	TelecomJS TokenHub OpenAI-compatible Chat Completions route. Live catalogs are isolated by provider and key fingerprint, stale rows survive transient refresh failures, and unsupported reasoning request fields are omitted. `TELECOMJS_MODEL` is accepted. Provider aliases: `telecom-js`, `telecom_js`, `telecomjs-cn`, `tokenhub`.
`xai`	`[providers.xai]`	`XAI_API_KEY`, Codewhale-owned device OAuth, or explicit read-only Grok CLI consent	`XAI_BASE_URL`; default `https://api.x.ai/v1`	`grok-4.5` (default), `grok-4.3`, `grok-build`, `grok-composer-2.5-fast`, `grok-4.20-0309-reasoning`, `grok-4.20-0309-non-reasoning`	xAI/Grok OpenAI-compatible Chat Completions route. API-key (default): Bearer token from console.x.ai via `XAI_API_KEY` / keyring / `api_key`. OAuth: `codewhale auth xai-device` uses SSH-friendly device login and Codewhale-owned storage, which may refresh itself. Existing Grok CLI credentials require `codewhale auth external-consent --provider xai --mode read-only`; the granted external file is never refreshed or rewritten. OAuth may return HTTP 403 on some SuperGrok tiers — keep API-key as the reliable fallback. `XAI_MODEL` is accepted. Provider aliases: `x-ai`, `x_ai`, `grok`.

Hugging Face Provider vs MCP vs Hub

Codewhale's huggingface provider ID is only the OpenAI-compatible chat inference route through Hugging Face Inference Providers. It is selected with /provider huggingface, CODEWHALE_PROVIDER=huggingface, or provider = "huggingface".

Hugging Face MCP is a separate external-tool route. Configure it through the MCP config described in docs/MCP.md, preferably using the settings-generated snippet from https://huggingface.co/settings/mcp. In the TUI, /hf mcp status checks whether the Hugging Face MCP server appears in the resolved MCP config, /hf mcp setup prints the settings workflow and a placeholder-only shape, and /hf concepts explains the provider/MCP/Hub distinction.

Hub publishing or repository management remains explicit user action through Hub-native tooling such as huggingface_hub or git. The /hf helper does not upload to Hugging Face and does not perform direct Hugging Face Hub HTTP search.

Xiaomi MiMo Notes

xiaomi-mimo defaults to mimo-v2.5-pro for long-context reasoning and coding work. The chat picker also exposes mimo-v2.5-pro-ultraspeed and the latest Omni model mimo-v2.5. Xiaomi MiMo TTS is available through codewhale --provider xiaomi-mimo speech "text" --model tts (or the tts alias). In Act and Operate, the provider-specific speech / tts tools are available through deferred discovery when the Xiaomi MiMo route is configured.

/provider xiaomi-mimo ultraspeed and /provider xiaomi-mimo pro-ultraspeed both select mimo-v2.5-pro-ultraspeed. Speech aliases such as tts, voice-design, and voice-clone are separate from normal chat defaults.

Token Plan keys default to the Singapore endpoint https://token-plan-sgp.xiaomimimo.com/v1. If your MiMo account is provisioned for the China region, set base_url = "https://token-plan-cn.xiaomimimo.com/v1" explicitly in [providers.xiaomi_mimo] or set mode = "token-plan-cn". Europe Token Plan accounts can set base_url = "https://token-plan-ams.xiaomimimo.com/v1" or use mode = "token-plan-ams"; mode = "pay-as-you-go" selects the standard API endpoint and standard MiMo key family. Xiaomi Token Plan docs and console expose credit/quota semantics, but Codewhale does not currently have a documented balance endpoint to poll, so cost display remains unknown rather than reusing token-price estimates from another provider.

Voice-design and voice-clone shorthands map to mimo-v2.5-tts-voicedesign and mimo-v2.5-tts-voiceclone. Xiaomi's current image-understanding guide includes mimo-v2.5 for image input. Codewhale exposes image analysis through the separate [vision_model] / image_analyze path; set that model to mimo-v2.5 when using MiMo for vision.

OpenRouter-Compatible Base URLs

OpenRouter-compatible gateways should usually stay on the openrouter provider with a provider-scoped base_url override instead of moving through the generic openai route. That keeps OpenRouter-style reasoning, streaming, cache usage, and namespaced wire model parsing attached to the selected route:

provider = "openrouter"

[providers.openrouter]
api_key = "sk-..."
base_url = "https://openrouter-compatible.example/v1"
model = "deepseek/deepseek-v4-pro"

Codewhale preserves the deepseek/ wire-model prefix under the OpenRouter provider scope; it does not infer a switch to the direct DeepSeek provider from that model string. Cache fields such as prompt_cache_hit_tokens, prompt_cache_miss_tokens, and prompt_tokens_details.cached_tokens are parsed when the upstream gateway sends them. If a key/account type omits those fields, Codewhale treats them as absent for that response rather than as a different provider route.

Recent OpenRouter Large Models

OpenRouter completions and static registry rows include the April 2026 onward large models verified through OpenRouter's model metadata: arcee-ai/trinity-large-thinking, qwen/qwen3.6-flash, qwen/qwen3.6-35b-a3b, qwen/qwen3.6-max-preview, qwen/qwen3.6-27b, qwen/qwen3.6-plus, minimax/minimax-m3, xiaomi/mimo-v2.5-pro, xiaomi/mimo-v2.5, moonshotai/kimi-k2.7-code, moonshotai/kimi-k2.6, z-ai/glm-5.1, z-ai/glm-5.2, z-ai/glm-5-turbo, tencent/hy3-preview, google/gemma-4-31b-it, google/gemma-4-26b-a4b-it, and nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free. minimax/minimax-m3 was added from OpenRouter's May 31, 2026 listing as a 1M context multimodal model for coding, tool use, and long-horizon agentic work. z-ai/glm-5.2 is now the default GLM route on both the Z.AI Coding Plan and OpenRouter; GLM-5.1 / z-ai/glm-5.1 remain available as the smaller model, and GLM-5-Turbo / z-ai/glm-5-turbo serve as the faster same-family sibling used by faster/explore sub-agents.

Static Model Registry

codewhale model list and codewhale model resolve use the static registry in crates/agent/src/lib.rs. This is not the same as live /models discovery. Use /models or codewhale models to fetch model IDs from the active API endpoint when the endpoint supports model listing.

Provider	Static registry entries	Tool calls	Registry reasoning flag
`deepseek`	`deepseek-v4-pro`, `deepseek-v4-flash`	yes	yes
`nvidia-nim`	`deepseek-ai/deepseek-v4-pro`, `deepseek-ai/deepseek-v4-flash`	yes	yes
`openai`	`deepseek-v4-pro`, `deepseek-v4-flash`, `gpt-5.6`, `gpt-5.6-sol`, `gpt-5.6-terra`, `gpt-5.6-luna`	yes	yes
`atlascloud`	`deepseek-ai/deepseek-v4-flash`, `deepseek-ai/deepseek-v4-pro`	yes	yes
`wanjie-ark`	`deepseek-reasoner`	yes	yes
`volcengine`	`DeepSeek-V4-Pro`, `DeepSeek-V4-Flash`	yes	yes
`openrouter`	`deepseek/deepseek-v4-pro`, `deepseek/deepseek-v4-flash`, `arcee-ai/trinity-large-thinking`, `minimax/minimax-m3`, `minimax/minimax-m2.7`, `xiaomi/mimo-v2.5-pro`, `xiaomi/mimo-v2.5`, `qwen/qwen3.6-flash`, `qwen/qwen3.6-35b-a3b`, `qwen/qwen3.6-max-preview`, `qwen/qwen3.6-27b`, `qwen/qwen3.6-plus`, `qwen/qwen3.7-max`, `moonshotai/kimi-k2.7-code`, `moonshotai/kimi-k2.6`, `z-ai/glm-5.1`, `z-ai/glm-5.2`, `z-ai/glm-5-turbo`, `tencent/hy3-preview`, `google/gemma-4-31b-it`, `google/gemma-4-26b-a4b-it`, `nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free`, `nvidia/nemotron-3-ultra-550b-a55b`	yes	yes
`xiaomi-mimo`	`mimo-v2.5-pro`, `mimo-v2.5-pro-ultraspeed`, `mimo-v2.5`; speech/TTS IDs are selected through `codewhale speech` / `tts`	yes	yes for chat models; no for speech/TTS models
`novita`	`deepseek/deepseek-v4-pro`, `deepseek/deepseek-v4-flash`	yes	yes
`fireworks`	`accounts/fireworks/models/deepseek-v4-pro`	yes	yes
`siliconflow`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	yes	yes
`arcee`	`trinity-large-thinking`, `trinity-large-preview`; provider-hinted custom model IDs pass through	yes	yes for `trinity-large-thinking`; no for `trinity-large-preview`
`moonshot`	`kimi-k2.7-code`, `kimi-k2.6`	yes	yes
`zai`	`GLM-5.2`, `GLM-5.1`, `GLM-5-Turbo`; provider-hinted custom model IDs pass through	yes	yes
`stepfun`	`step-3.7-flash`	yes	no
`minimax`	`MiniMax-M3`, `MiniMax-M2.7`, `MiniMax-M2.7-highspeed`, `MiniMax-M2.5`, `MiniMax-M2.5-highspeed`, `MiniMax-M2.1`, `MiniMax-M2.1-highspeed`, `MiniMax-M2`	yes	yes
`minimax-anthropic`	`MiniMax-M3`, `MiniMax-M2.7`	yes	yes
`sglang`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	yes	yes
`vllm`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	yes	yes
`ollama`	`deepseek-coder:1.3b`; custom tags pass through when provider hint is `ollama`	yes	no
`huggingface`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	yes	no
`deepinfra`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`	yes	yes
`together`	`deepseek-ai/DeepSeek-V4-Pro`, `deepseek-ai/DeepSeek-V4-Flash`, `thinkingmachines/inkling`	yes	yes
`openai-codex`	`gpt-5.5`	yes	yes
`anthropic`	`claude-opus-4-8`, `claude-sonnet-4-6`, `claude-haiku-4-5`	yes	yes for `claude-opus-4-8` and `claude-sonnet-4-6`; no for `claude-haiku-4-5`
`openmodel`	`deepseek-v4-flash`; provider-scoped custom model IDs pass through	yes	model-dependent
`sakana`	`fugu`, `fugu-ultra-20260615`	yes	yes for `fugu-ultra-20260615`
`longcat`	`LongCat-2.0`	yes	yes
`opencode-go`	`deepseek-v4-pro`, `grok-4.5`, `glm-5.2`, `glm-5.1`, `kimi-k3`, `kimi-k2.7-code`, `kimi-k2.6`, `deepseek-v4-flash`, `mimo-v2.5`, `mimo-v2.5-pro`	yes	yes
`meta`	`muse-spark-1.1`	yes	yes
`xai`	`grok-4.5`, `grok-4.3`, `grok-build`, `grok-composer-2.5-fast`, `grok-4.20-0309-reasoning`, `grok-4.20-0309-non-reasoning`	yes	yes for `grok-4.5`, `grok-4.3`, `grok-build`, and `grok-4.20-0309-reasoning`

AtlasCloud keeps the same default model as the config layer and adds provider-scoped aliases for the Pro and Flash rows. Other AtlasCloud model IDs should still be selected through ATLASCLOUD_MODEL, config, or live model listing when available.

Capability Metadata

codewhale-tui doctor --json exposes the capability object. It is static metadata, not a live API probe. Current fields are:

resolved_provider, resolved_model, context_window, max_output, thinking_supported, cache_telemetry_supported, and request_payload_mode.

When configuration cannot be loaded or validated, doctor --json exits nonzero and prints a bounded, secret-redacted JSON error envelope with status = "error" and error.kind = "config_validation" instead of emitting misleading route or capability metadata.

Most shipped providers use the Chat Completions request payload mode. Native Messages routes, including minimax-anthropic, use /v1/messages, and openai-codex uses Responses.

For OpenAI-compatible gateways or self-hosted runtimes whose real window differs from the static table, set [providers.<name>] context_window = N. The configured value becomes the route-effective context window for prompts, context-pressure checks, compaction, and output-cap budgeting.

Provider/model class	Context window	Max output metadata	Thinking support	Cache telemetry	FIM endpoint
DeepSeek V4 (`deepseek-v4-pro`, `deepseek-v4-flash`)	1,000,000	384,000	yes	yes	DeepSeek beta only
DeepSeek compatibility aliases (`deepseek-chat`, `deepseek-reasoner`)	1,000,000	384,000	yes	yes	DeepSeek beta only
NVIDIA NIM V4 registry models	1,000,000	384,000	yes	yes	not documented in code
Volcengine Ark V4 model IDs	1,000,000	384,000	yes	yes	not documented in code
OpenRouter, Novita, Fireworks, SiliconFlow, SGLang, and vLLM V4 model IDs	1,000,000	384,000	yes	no	not documented in code
Xiaomi MiMo `mimo-v2.5-pro`, `mimo-v2.5-pro-ultraspeed`, `mimo-v2.5`	1,000,000	131,072	yes	no	not documented in code
OpenRouter Qwen 3.6 Flash / Plus	1,000,000	65,536	yes	no	not documented in code
OpenRouter Qwen 3.6 35B / 27B	262,144	262,140	yes	no	not documented in code
OpenRouter Qwen 3.6 Max Preview	262,144	65,536	yes	no	not documented in code
OpenAI API `gpt-5.5`	1,050,000	128,000	yes	no	not documented in code
OpenAI API `gpt-5.6`, `gpt-5.6-sol`, `gpt-5.6-terra`, `gpt-5.6-luna`	1,050,000	128,000	yes	no	not documented in code
Meta Model API `muse-spark-1.1`	1,000,000	32,000	yes	no	not documented in code
OpenAI Codex / ChatGPT route (`openai-codex`)	400,000 effective	128,000	yes	no	route uses Responses payload at `/codex/responses`
OpenModel default/custom model IDs	200,000 fallback unless model metadata or config overrides it	64,000 fallback	model-dependent	no	route uses Messages payload at `/v1/messages`
Wanjie Ark `reasoner` / `r1` model IDs	128,000	4,096	yes	no	not documented in code
Direct Arcee API `trinity-large-thinking`	262,144	262,144	yes	no	not documented in code
Direct Arcee API `trinity-large-preview`	262,144	4,096	no in doctor capability metadata	no	not documented in code
Direct Moonshot `kimi-k3`	1,048,576	1,048,576 documented maximum; 131,072 provider default	yes	no	exact route uses `max_completion_tokens` and omits fixed sampling fields (K3 quickstart)
Kimi Code membership `k3`	262,144 safe baseline; 1,048,576 with an explicit entitled-plan override	131,072 conservative default ceiling; membership maximum is not published	yes	no	exact `https://api.kimi.com/coding/v1` route
Moonshot/Kimi K2.7/K2.6 (`kimi-k2.7-code`, `kimi-k2.6`, Kimi Code `kimi-for-coding`)	262,144	32,768	yes	no	not documented in code
Direct Z.AI `GLM-5.2` (default)	1,000,000	131,072	yes	no	not documented in code
Direct Z.AI `GLM-5.1`	202,752	131,072	yes	no	not documented in code
Direct Z.AI `GLM-5-Turbo`	202,752	131,072	yes	no	faster/explore sub-agent sibling
Direct MiniMax `MiniMax-M3`	1,000,000	524,288	yes	no	not documented in code
Direct MiniMax M2.x models	204,800	4,096 fallback until MiniMax output metadata is promoted	yes	no	not documented in code
MiniMax Messages route (`MiniMax-M3`, `MiniMax-M2.7`)	model-specific values above	model-specific values above	yes	no	route uses `/anthropic/v1/messages`
Generic `openai` and AtlasCloud	128,000	4,096	no in doctor capability metadata	no	not documented in code
Ollama	8,192	4,096	no	no	not documented in code
Hugging Face Inference Providers V4 model IDs	131,072	4,096	yes	no	not documented in code
Other recognized DeepSeek model IDs	128,000 unless the model name carries an explicit `Nk` hint	4,096	no unless V4/reasoner logic matches	DeepSeek/NIM only	DeepSeek beta only

MiniMax M3 uses input-length and service tiers. Codewhale omits service_tier, so requests use the standard tier and cost estimates select the correct standard rate from total input usage. Priority rates are listed to keep the official tier structure visible. Prices are USD per million tokens.

Model / service tier	Input length	Input	Output	Cache read	Cache write
`MiniMax-M3` standard	up to 512,000 input tokens	$0.30	$1.20	$0.06	not published
`MiniMax-M3` standard	over 512,000 input tokens	$0.60	$2.40	$0.12	not published
`MiniMax-M3` priority	up to 512,000 input tokens	$0.45	$1.80	$0.09	not published
`MiniMax-M3` priority	over 512,000 input tokens	$0.90	$3.60	$0.18	not published
`MiniMax-M2.7` standard	all supported inputs	$0.30	$1.20	$0.06	$0.375

These values come from the MiniMax pay-as-you-go pricing guide. M3 thinking is adaptive or disabled; the OpenAI-compatible API defaults to adaptive and the Anthropic-compatible API defaults to disabled. M2.7 thinking cannot be disabled. Codewhale sends explicit controls when the user selects a reasoning mode.

Tool-call support is tracked separately by the static ModelRegistry and by the endpoint's ability to accept OpenAI-compatible tools payloads. A custom OpenAI-compatible or local endpoint can still reject tool calls even if Codewhale can send the schema.

Hugging Face Inference Providers Notes

The shipped Hugging Face route targets the OpenAI-compatible Inference Providers router at https://router.huggingface.co/v1. Configure auth with HUGGINGFACE_API_KEY first, or HF_TOKEN as a fallback. Configure the endpoint with HUGGINGFACE_BASE_URL first, or HF_BASE_URL as a fallback; configure the model with HUGGINGFACE_MODEL first, or HF_MODEL as a fallback.

This route does not imply Hub browsing, model-card metadata, dataset access, Jobs, uploads, or export. Those remain explicit Model Lab work items so provider auth and artifact movement stay separate.

When a Local Model Prints Tool JSON

Codewhale only executes tools when the provider returns Chat Completions tool_calls or streamed delta.tool_calls. If a local model prints text such as {"name":"File","arguments":{"action":"search_content",...}} in the assistant message, that is ordinary model output, not an executable tool request.

For OpenAI-compatible or local runtimes, check:

The endpoint accepts the tools array in /v1/chat/completions requests.
The selected model or chat template is configured for function/tool calls.
The server returns tool_calls in the response rather than plain JSON text.
The compatibility layer does not strip tools before forwarding the request.
If in doubt, test a small File read or search_content action against a known tool-calling model before debugging Codewhale's tool registry.

Changing provider, base_url, or model can select a route that supports the OpenAI-compatible payload shape, but Codewhale cannot convert arbitrary JSON text into a trusted tool call after the model has emitted it as prose.

DeepSeek will retire deepseek-chat and deepseek-reasoner on 2026-07-24 at 15:59 UTC. Codewhale migrates either name to deepseek-v4-flash before a request reaches DeepSeek's first-party OpenAI or Anthropic endpoint. If no reasoning tier was configured, deepseek-chat also migrates to off and deepseek-reasoner to high, preserving their former non-thinking / thinking intent; an explicit reasoning_effort remains authoritative. The mapping is deliberately not global: Wanjie Ark, aggregators, self-hosted runtimes, and custom endpoints continue to own their model ids.

Reasoning Effort

/reasoning <effort> (and the reasoning_effort config key) is translated to each provider's wire dialect by the client before the request is sent. off disables thinking where the route supports it. Both exact K3 routes preserve K3 by mapping off to their lowest supported tier, low. Normal dispatched auto uses Codewhale's auto-reasoning selector and sends a concrete tier; only an omitted reasoning setting leaves the provider default in control. Providers marked "omitted" receive no reasoning fields at all for that tier.

Provider	`off`	`low`/`medium`/`high`	`max`/`xhigh`
`deepseek`, `deepseek-cn`, `siliconflow`, `siliconflow-CN`, `sglang`, `volcengine`, `atlascloud`	`thinking: {type: disabled}`	`reasoning_effort: "high"` + `thinking: {type: enabled}`	`reasoning_effort: "max"` + `thinking: {type: enabled}`
`openrouter`, `novita`, other `together` models	`thinking: {type: disabled}`	`reasoning_effort` pass-through + `thinking: {type: enabled}`	`reasoning_effort: "xhigh"` + `thinking: {type: enabled}`
`together` + `thinkingmachines/inkling`	`reasoning_effort: "none"`	exact `minimal`/`low`/`medium`/`high` `reasoning_effort`	`reasoning_effort: "max"`
Direct Moonshot `kimi-k3` at exact `https://api.moonshot.ai/v1`	top-level `reasoning_effort: "low"` (effective normalization)	top-level `reasoning_effort: "low"` / `"high"` (`medium` becomes `high`)	top-level `reasoning_effort: "max"`
Kimi Code membership `k3` at exact `https://api.kimi.com/coding/v1`	`thinking: {type: enabled, effort: "low"}` (effective normalization)	`thinking: {type: enabled, effort: "low"	"high"}`
Other `moonshot` routes	`thinking: {type: disabled}`	`thinking: {type: enabled}`	`thinking: {type: enabled}`
`ollama`	`think: false`	`think: true`	`think: true`
`xiaomi-mimo`	`thinking: {type: disabled}`	`thinking: {type: enabled}`	`thinking: {type: enabled}`
`minimax`	`reasoning_split: true` + `thinking: {type: disabled}`	`reasoning_split: true` + `thinking: {type: adaptive}`	`reasoning_split: true` + `thinking: {type: adaptive}`
`nvidia-nim`	`chat_template_kwargs.thinking: false`	`chat_template_kwargs`: `thinking: true` + `reasoning_effort: "high"`	`chat_template_kwargs`: `thinking: true` + `reasoning_effort: "max"`
`vllm`	`chat_template_kwargs.enable_thinking: false`	`chat_template_kwargs.enable_thinking: true` + `reasoning_effort` low/medium/high	`chat_template_kwargs.enable_thinking: true` + `reasoning_effort: "high"` (vLLM has no max tier)
`arcee`, `huggingface`	omitted	`reasoning_effort` pass-through	`reasoning_effort: "high"`
`fireworks`	omitted	`reasoning_effort: "high"`	`reasoning_effort: "max"`
`openai`, `wanjie-ark`, `telecomjs`	omitted	omitted	omitted
`openmodel`	Anthropic Messages adapter handles thinking/output configuration	Anthropic Messages adapter handles thinking/output configuration	Anthropic Messages adapter handles thinking/output configuration
`openai-codex`	Responses API `reasoning` field (handled by the Responses bridge)	Responses API `reasoning` field	Responses API `reasoning` field

AtlasCloud serves DeepSeek models, so it speaks the DeepSeek reasoning dialect, including the max tier (#3024).

Drift Check

Run this before changing provider IDs, provider TOML tables, static model registry rows, or provider default strings:

python3 scripts/check-provider-registry.py

The check fails when:

docs/PROVIDERS.md omits a canonical ProviderKind::as_str() ID.
crates/tui/src/config.rs ApiProvider::as_str() diverges from ProviderKind::as_str() except for the explicit deepseek-cn legacy alias.
The shipped-provider table omits or adds a [providers.*] TOML table.
The static model registry table drifts from providers used by crates/agent/src/lib.rs.
A provider default model or base URL constant in crates/tui/src/config.rs is no longer mentioned here.

Planned, Not Shipped Yet

These items belong to the v0.8.48+ provider-abstraction milestone or related provider docs work, but they are not native shipped behavior in this checkout:

A unified Provider trait in codewhale-agent that owns env precedence, secret resolution, base URL normalization, auth-header construction, and provider metadata. Those responsibilities are still split across crates/config, crates/secrets, and crates/tui/src/client.rs.
Hugging Face model passport metadata in the picker, including license, base model, context length, chat template, tool-call support, reasoning support, and gated/private status.