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Configuration — tools and custom providers

tools.* config keys and custom provider / base-URL setup. For agents, channels, and other top-level config keys, see Configuration reference.

tools.profile sets a base allowlist before tools.allow/tools.deny:

ProfileIncludes
minimalsession_status only
codinggroup:fs, group:runtime, group:web, group:sessions, group:memory, cron, image, image_generate, skill_workshop, video_generate
messaginggroup:messaging, sessions_list, sessions_history, sessions_send, session_status
fullNo restriction (same as unset)
GroupTools
group:runtimeexec, process, code_execution (bash is accepted as an alias for exec)
group:fsread, write, edit, apply_patch
group:sessionssessions_list, sessions_history, sessions_send, sessions_spawn, sessions_yield, subagents, session_status
group:memorymemory_search, memory_get
group:webweb_search, x_search, web_fetch
group:uibrowser, canvas
group:automationheartbeat_respond, cron, gateway
group:messagingmessage
group:nodesnodes
group:agentsagents_list, update_plan
group:mediaimage, image_generate, music_generate, video_generate, tts
group:openclawAll built-in tools (excludes provider plugins)
group:pluginsTools owned by loaded plugins, including configured MCP servers exposed through bundle-mcp

MCP and plugin tools inside sandbox tool policy

Section titled “MCP and plugin tools inside sandbox tool policy”

Configured MCP servers are exposed as plugin-owned tools under the bundle-mcp plugin id. Normal tool profiles can allow them, but tools.sandbox.tools is an additional gate for sandboxed sessions. If sandbox mode is "all" or "non-main", include one of these entries in the sandbox tool allowlist when MCP/plugin tools should be visible:

  • bundle-mcp for OpenClaw-managed MCP servers from mcp.servers
  • the plugin id for a specific native plugin
  • group:plugins for all loaded plugin-owned tools
  • exact MCP server tool names or server globs such as outlook__send_mail or outlook__* when you only want one server

Server globs use the provider-safe MCP server prefix, not necessarily the raw mcp.servers key. Non-[A-Za-z0-9_-] characters become -, names that do not start with a letter get an mcp- prefix, and long or duplicate prefixes may be truncated or suffixed; for example, mcp.servers["Outlook Graph"] uses a glob like outlook-graph__*.

{
agents: { defaults: { sandbox: { mode: "all" } } },
mcp: {
servers: {
outlook: { command: "node", args: ["./outlook-mcp.js"] },
},
},
tools: {
sandbox: {
tools: {
alsoAllow: ["web_search", "web_fetch", "memory_search", "memory_get", "bundle-mcp"],
},
},
},
}

Without that sandbox-layer entry, the MCP server can still load successfully while its tools are filtered before the provider request. Use openclaw doctor to catch this shape for OpenClaw-managed servers in mcp.servers. MCP servers loaded from bundled plugin manifests or Claude .mcp.json use the same sandbox gate, but this diagnostic does not enumerate those sources yet; use the same allowlist entries if their tools disappear in sandboxed turns.

tools.codeMode enables the generic OpenClaw code-mode surface. When enabled for a run with tools, the model sees only exec and wait; normal OpenClaw tools move behind the in-sandbox tools.* catalog bridge, and MCP tools are available through the generated MCP namespace.

{
tools: {
codeMode: {
enabled: true,
},
},
}

The shorthand is also accepted:

{
tools: { codeMode: true },
}

MCP declarations are exposed through the read-only virtual API file surface in code mode. Guest code can call API.list("mcp") and API.read("mcp/<server>.d.ts") to inspect TypeScript-style signatures before calling MCP.<server>.<tool>(). See Code mode for the runtime contract, limits, and debugging steps.

Global tool allow/deny policy (deny wins). Case-insensitive, supports * wildcards. Applied even when Docker sandbox is off.

{
tools: { deny: ["browser", "canvas"] },
}

write and apply_patch are separate tool ids. allow: ["write"] also enables apply_patch for compatible models, but deny: ["write"] does not deny apply_patch. To block all file mutation, deny group:fs or list each mutating tool explicitly:

{
tools: { deny: ["write", "edit", "apply_patch"] },
}

Further restrict tools for specific providers or models. Order: base profile → provider profile → allow/deny.

{
tools: {
profile: "coding",
byProvider: {
"google-antigravity": { profile: "minimal" },
"openai/gpt-5.4": { allow: ["group:fs", "sessions_list"] },
},
},
}

Restricts tools for a specific requester identity. This is defense-in-depth on top of channel access control; sender values must come from the channel adapter, not message text.

{
tools: {
toolsBySender: {
"channel:discord:1234567890123": { alsoAllow: ["group:fs"] },
"id:guest-user-id": { deny: ["group:runtime", "group:fs"] },
"*": { deny: ["exec", "process", "write", "edit", "apply_patch"] },
},
},
}

Keys use explicit prefixes: channel:<channelId>:<senderId>, id:<senderId>, e164:<phone>, username:<handle>, name:<displayName>, or "*". Channel ids are canonical OpenClaw ids; aliases such as teams normalize to msteams. Legacy unprefixed keys are accepted as id: only. Matching order is channel+id, id, e164, username, name, then wildcard.

Per-agent agents.list[].tools.toolsBySender overrides the global sender match when it matches, even with an empty {} policy.

Controls elevated exec access outside the sandbox:

{
tools: {
elevated: {
enabled: true,
allowFrom: {
whatsapp: ["+15555550123"],
discord: ["1234567890123", "987654321098765432"],
},
},
},
}
  • Per-agent override (agents.list[].tools.elevated) can only further restrict.
  • /elevated on|off|ask|full stores state per session; inline directives apply to single message.
  • Elevated exec bypasses sandboxing and uses the configured escape path (gateway by default, or node when the exec target is node).
{
tools: {
exec: {
backgroundMs: 10000,
timeoutSec: 1800,
cleanupMs: 1800000,
notifyOnExit: true,
notifyOnExitEmptySuccess: false,
commandHighlighting: false,
applyPatch: {
enabled: false,
allowModels: ["gpt-5.5"],
},
},
},
}

Tool-loop safety checks are disabled by default. Set enabled: true to activate detection. Settings can be defined globally in tools.loopDetection and overridden per-agent at agents.list[].tools.loopDetection.

{
tools: {
loopDetection: {
enabled: true,
historySize: 30,
warningThreshold: 10,
criticalThreshold: 20,
globalCircuitBreakerThreshold: 30,
detectors: {
genericRepeat: true,
knownPollNoProgress: true,
pingPong: true,
},
},
},
}
Max tool-call history retained for loop analysis. Repeating no-progress pattern threshold for warnings. Higher repeating threshold for blocking critical loops. Hard stop threshold for any no-progress run. Warn on repeated same-tool/same-args calls. Warn/block on known poll tools (`process.poll`, `command_status`, etc.). Warn/block on alternating no-progress pair patterns.
{
tools: {
web: {
search: {
enabled: true,
apiKey: "brave_api_key", // or BRAVE_API_KEY env
maxResults: 5,
timeoutSeconds: 30,
cacheTtlMinutes: 15,
},
fetch: {
enabled: true,
provider: "firecrawl", // optional; omit for auto-detect
maxChars: 50000,
maxCharsCap: 50000,
maxResponseBytes: 2000000,
timeoutSeconds: 30,
cacheTtlMinutes: 15,
maxRedirects: 3,
readability: true,
userAgent: "custom-ua",
},
},
},
}

Configures inbound media understanding (image/audio/video):

{
tools: {
media: {
concurrency: 2,
asyncCompletion: {
directSend: false, // deprecated: completions stay agent-mediated
},
audio: {
enabled: true,
maxBytes: 20971520,
scope: {
default: "deny",
rules: [{ action: "allow", match: { chatType: "direct" } }],
},
models: [
{ provider: "openai", model: "gpt-4o-mini-transcribe" },
{ type: "cli", command: "whisper", args: ["--model", "base", "{{MediaPath}}"] },
],
},
image: {
enabled: true,
timeoutSeconds: 180,
models: [{ provider: "ollama", model: "gemma4:26b", timeoutSeconds: 300 }],
},
video: {
enabled: true,
maxBytes: 52428800,
models: [{ provider: "google", model: "gemini-3-flash-preview" }],
},
},
},
}
Media model entry fields

Provider entry (type: "provider" or omitted):

  • provider: API provider id (openai, anthropic, google/gemini, groq, etc.)
  • model: model id override
  • profile / preferredProfile: auth-profiles.json profile selection

CLI entry (type: "cli"):

  • command: executable to run
  • args: templated args (supports {{MediaPath}}, {{Prompt}}, {{MaxChars}}, etc.; openclaw doctor --fix migrates deprecated {input} placeholders to {{MediaPath}})

Common fields:

  • capabilities: optional list (image, audio, video). Defaults: openai/anthropic/minimax → image, google → image+audio+video, groq → audio.
  • prompt, maxChars, maxBytes, timeoutSeconds, language: per-entry overrides.
  • tools.media.image.timeoutSeconds and matching image model timeoutSeconds entries also apply when the agent calls the explicit image tool. For image understanding, this timeout applies to the request itself and is not reduced by earlier preparation work.
  • Failures fall back to the next entry.

Provider auth follows standard order: auth-profiles.json → env vars → models.providers.*.apiKey.

Async completion fields:

  • asyncCompletion.directSend: deprecated compatibility flag. Completed async media tasks stay requester-session mediated so the agent receives the result, decides how to tell the user, and uses the message tool when source delivery requires it.
{
tools: {
agentToAgent: {
enabled: false,
allow: ["home", "work"],
},
},
}

Controls which sessions can be targeted by the session tools (sessions_list, sessions_history, sessions_send).

Default: tree (current session + sessions spawned by it, such as subagents).

{
tools: {
sessions: {
// "self" | "tree" | "agent" | "all"
visibility: "tree",
},
},
}
Visibility scopes
  • self: only the current session key.
  • tree: current session + sessions spawned by the current session (subagents).
  • agent: any session belonging to the current agent id (can include other users if you run per-sender sessions under the same agent id).
  • all: any session. Cross-agent targeting still requires tools.agentToAgent.
  • Sandbox clamp: when the current session is sandboxed and agents.defaults.sandbox.sessionToolsVisibility="spawned", visibility is forced to tree even if tools.sessions.visibility="all".
  • When not all, sessions_list includes a compact visibility field describing the effective mode and a warning that some sessions may be omitted outside the current scope.

Controls inline attachment support for sessions_spawn.

{
tools: {
sessions_spawn: {
attachments: {
enabled: false, // opt-in: set true to allow inline file attachments
maxTotalBytes: 5242880, // 5 MB total across all files
maxFiles: 50,
maxFileBytes: 1048576, // 1 MB per file
retainOnSessionKeep: false, // keep attachments when cleanup="keep"
},
},
},
}
Attachment notes
  • Attachments require enabled: true.
  • Subagent attachments are materialized into the child workspace at `.openclaw/attachments/

/with a.manifest.json. - ACP attachments are image-only and forwarded inline to the ACP runtime after the same file count, per-file byte, and total byte limits pass. - Attachment content is automatically redacted from transcript persistence. - Base64 inputs are validated with strict alphabet/padding checks and a pre-decode size guard. - Subagent attachment file permissions are 0700for directories and0600for files. - Subagent cleanup follows thecleanuppolicy:deletealways removes attachments;keepretains them only whenretainOnSessionKeep: true`.

Experimental built-in tool flags. Default off unless a strict-agentic GPT-5 auto-enable rule applies.

{
tools: {
experimental: {
planTool: true, // enable experimental update_plan
},
},
}
  • planTool: enables the structured update_plan tool for non-trivial multi-step work tracking.
  • Default: false unless agents.defaults.embeddedAgent.executionContract (or a per-agent override) is set to "strict-agentic" for an OpenAI or OpenAI Codex GPT-5-family run. Set true to force the tool on outside that scope, or false to keep it off even for strict-agentic GPT-5 runs.
  • When enabled, the system prompt also adds usage guidance so the model only uses it for substantial work and keeps at most one step in_progress.
{
agents: {
defaults: {
subagents: {
allowAgents: ["research"],
model: "minimax/MiniMax-M2.7",
maxConcurrent: 8,
runTimeoutSeconds: 900,
announceTimeoutMs: 120000,
archiveAfterMinutes: 60,
},
},
},
}
  • model: default model for spawned sub-agents. If omitted, sub-agents inherit the caller’s model.
  • allowAgents: default allowlist of configured target agent ids for sessions_spawn when the requester agent does not set its own subagents.allowAgents (["*"] = any configured target; default: same agent only). Stale entries whose agent config was deleted are rejected by sessions_spawn and omitted from agents_list; run openclaw doctor --fix to clean them up.
  • runTimeoutSeconds: default timeout (seconds) for sessions_spawn. 0 means no timeout.
  • announceTimeoutMs: per-call timeout (milliseconds) for gateway agent announce delivery attempts. Default: 120000. Transient retries can make the total announce wait longer than one configured timeout.
  • Per-subagent tool policy: tools.subagents.tools.allow / tools.subagents.tools.deny.

Provider plugins publish their own model catalog rows. Add custom providers via models.providers in config or ~/.openclaw/agents/<agentId>/agent/models.json.

Configuring a custom/local provider baseUrl is also the narrow network trust decision for model HTTP requests: OpenClaw allows that exact scheme://host:port origin through the guarded fetch path, without adding a separate config option or trusting other private origins.

{
models: {
mode: "merge", // merge (default) | replace
providers: {
"custom-proxy": {
baseUrl: "http://localhost:4000/v1",
apiKey: "LITELLM_KEY",
api: "openai-completions", // openai-completions | openai-responses | anthropic-messages | google-generative-ai
models: [
{
id: "llama-3.1-8b",
name: "Llama 3.1 8B",
reasoning: false,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 128000,
contextTokens: 96000,
maxTokens: 32000,
},
],
},
},
},
}
Auth and merge precedence
  • Use authHeader: true + headers for custom auth needs.
  • Override agent config root with OPENCLAW_AGENT_DIR.
  • Merge precedence for matching provider IDs:
    • Non-empty agent models.json baseUrl values win.
    • Non-empty agent apiKey values win only when that provider is not SecretRef-managed in current config/auth-profile context.
    • SecretRef-managed provider apiKey values are refreshed from source markers (ENV_VAR_NAME for env refs, secretref-managed for file/exec refs) instead of persisting resolved secrets.
    • SecretRef-managed provider header values are refreshed from source markers (secretref-env:ENV_VAR_NAME for env refs, secretref-managed for file/exec refs).
    • Empty or missing agent apiKey/baseUrl fall back to models.providers in config.
    • Matching model contextWindow/maxTokens use the higher value between explicit config and implicit catalog values.
    • Matching model contextTokens preserves an explicit runtime cap when present; use it to limit effective context without changing native model metadata.
    • Provider-plugin catalogs are stored as generated plugin-owned catalog shards under the agent’s plugin state.
    • Use models.mode: "replace" when you want config to fully rewrite models.json and active plugin catalog shards.
    • Marker persistence is source-authoritative: markers are written from the active source config snapshot (pre-resolution), not from resolved runtime secret values.
Top-level catalog
  • models.mode: provider catalog behavior (merge or replace).
  • models.providers: custom provider map keyed by provider id.
    • Safe edits: use `openclaw config set models.providers.

’ —strict-json —mergeoropenclaw config set models.providers.

.models ’

’ —strict-json —mergefor additive updates.config setrefuses destructive replacements unless you pass—replace`.

Provider connection and auth
  • models.providers.*.api: request adapter (openai-completions, openai-responses, anthropic-messages, google-generative-ai, etc). For self-hosted /v1/chat/completions backends such as MLX, vLLM, SGLang, and most OpenAI-compatible local servers, use openai-completions. A custom provider with baseUrl but no api defaults to openai-completions; set openai-responses only when the backend supports /v1/responses.
  • models.providers.*.apiKey: provider credential (prefer SecretRef/env substitution).
  • models.providers.*.auth: auth strategy (api-key, token, oauth, aws-sdk).
  • models.providers.*.contextWindow: default native context window for models under this provider when the model entry does not set contextWindow.
  • models.providers.*.contextTokens: default effective runtime context cap for models under this provider when the model entry does not set contextTokens.
  • models.providers.*.maxTokens: default output-token cap for models under this provider when the model entry does not set maxTokens.
  • models.providers.*.timeoutSeconds: optional per-provider model HTTP request timeout in seconds, including connect, headers, body, and total request abort handling.
  • models.providers.*.injectNumCtxForOpenAICompat: for Ollama + openai-completions, inject options.num_ctx into requests (default: true).
  • models.providers.*.authHeader: force credential transport in the Authorization header when required.
  • models.providers.*.baseUrl: upstream API base URL.
  • models.providers.*.headers: extra static headers for proxy/tenant routing.
Request transport overrides

models.providers.*.request: transport overrides for model-provider HTTP requests.

  • request.headers: extra headers (merged with provider defaults). Values accept SecretRef.
  • request.auth: auth strategy override. Modes: "provider-default" (use provider’s built-in auth), "authorization-bearer" (with token), "header" (with headerName, value, optional prefix).
  • request.proxy: HTTP proxy override. Modes: "env-proxy" (use HTTP_PROXY/HTTPS_PROXY env vars), "explicit-proxy" (with url). Both modes accept an optional tls sub-object.
  • request.tls: TLS override for direct connections. Fields: ca, cert, key, passphrase (all accept SecretRef), serverName, insecureSkipVerify.
  • request.allowPrivateNetwork: when true, allow model-provider HTTP requests to private, CGNAT, or similar ranges through the provider HTTP fetch guard. Custom/local provider base URLs already trust the exact configured origin, except metadata/link-local origins, which remain blocked without explicit opt-in. Set this to false to opt out of exact-origin trust. WebSocket uses the same request for headers/TLS but not that fetch SSRF gate. Default false.
Model catalog entries
  • models.providers.*.models: explicit provider model catalog entries.
  • models.providers.*.models.*.input: model input modalities. Use ["text"] for text-only models and ["text", "image"] for native image/vision models. Image attachments are only injected into agent turns when the selected model is marked image-capable.
  • models.providers.*.models.*.contextWindow: native model context window metadata. This overrides provider-level contextWindow for that model.
  • models.providers.*.models.*.contextTokens: optional runtime context cap. This overrides provider-level contextTokens; use it when you want a smaller effective context budget than the model’s native contextWindow; openclaw models list shows both values when they differ.
  • models.providers.*.models.*.compat.supportsDeveloperRole: optional compatibility hint. For api: "openai-completions" with a non-empty non-native baseUrl (host not api.openai.com), OpenClaw forces this to false at runtime. Empty/omitted baseUrl keeps default OpenAI behavior.
  • models.providers.*.models.*.compat.requiresStringContent: optional compatibility hint for string-only OpenAI-compatible chat endpoints. When true, OpenClaw flattens pure text messages[].content arrays into plain strings before sending the request.
  • models.providers.*.models.*.compat.strictMessageKeys: optional compatibility hint for strict OpenAI-compatible chat endpoints. When true, OpenClaw strips outgoing Chat Completions message objects to role and content before sending the request.
  • models.providers.*.models.*.compat.thinkingFormat: optional thinking payload hint. Use "together" for Together-style reasoning.enabled, "qwen" for top-level enable_thinking, or "qwen-chat-template" for chat_template_kwargs.enable_thinking on Qwen-family OpenAI-compatible servers that support request-level chat-template kwargs, such as vLLM. Configured vLLM Qwen models expose binary /think choices (off, on) for these formats.
  • models.providers.*.models.*.compat.requiresReasoningContentOnAssistantMessages: optional compatibility hint for DeepSeek-style Chat Completions backends that require prior assistant messages to keep reasoning_content on replay. When true, OpenClaw preserves that field on outgoing assistant messages. Use this when wiring a custom DeepSeek-compatible proxy that rejects requests after stripped reasoning. Default false.
Amazon Bedrock discovery
  • plugins.entries.amazon-bedrock.config.discovery: Bedrock auto-discovery settings root.
  • plugins.entries.amazon-bedrock.config.discovery.enabled: turn implicit discovery on/off.
  • plugins.entries.amazon-bedrock.config.discovery.region: AWS region for discovery.
  • plugins.entries.amazon-bedrock.config.discovery.providerFilter: optional provider-id filter for targeted discovery.
  • plugins.entries.amazon-bedrock.config.discovery.refreshInterval: polling interval for discovery refresh.
  • plugins.entries.amazon-bedrock.config.discovery.defaultContextWindow: fallback context window for discovered models.
  • plugins.entries.amazon-bedrock.config.discovery.defaultMaxTokens: fallback max output tokens for discovered models.

Interactive custom-provider onboarding infers image input for common vision model IDs such as GPT-4o, Claude, Gemini, Qwen-VL, LLaVA, Pixtral, InternVL, Mllama, MiniCPM-V, and GLM-4V, and skips the extra question for known text-only families. Unknown model IDs still prompt for image support. Non-interactive onboarding uses the same inference; pass --custom-image-input to force image-capable metadata or --custom-text-input to force text-only metadata.

Cerebras (GLM 4.7 / GPT OSS)

The official external cerebras provider plugin can configure this via openclaw onboard --auth-choice cerebras-api-key. Use explicit provider config only when overriding defaults.

{
env: { CEREBRAS_API_KEY: "sk-..." },
agents: {
defaults: {
model: {
primary: "cerebras/zai-glm-4.7",
fallbacks: ["cerebras/gpt-oss-120b"],
},
models: {
"cerebras/zai-glm-4.7": { alias: "GLM 4.7 (Cerebras)" },
"cerebras/gpt-oss-120b": { alias: "GPT OSS 120B (Cerebras)" },
},
},
},
models: {
mode: "merge",
providers: {
cerebras: {
baseUrl: "https://api.cerebras.ai/v1",
apiKey: "${CEREBRAS_API_KEY}",
api: "openai-completions",
models: [
{ id: "zai-glm-4.7", name: "GLM 4.7 (Cerebras)" },
{ id: "gpt-oss-120b", name: "GPT OSS 120B (Cerebras)" },
],
},
},
},
}

Use cerebras/zai-glm-4.7 for Cerebras; zai/glm-4.7 for Z.AI direct.

Kimi Coding
{
env: { KIMI_API_KEY: "sk-..." },
agents: {
defaults: {
model: { primary: "kimi/kimi-for-coding" },
models: { "kimi/kimi-for-coding": { alias: "Kimi Code" } },
},
},
}

Anthropic-compatible, built-in provider. Shortcut: openclaw onboard --auth-choice kimi-code-api-key.

Local models (LM Studio)

See Local Models. TL;DR: run a large local model via LM Studio Responses API on serious hardware; keep hosted models merged for fallback.

MiniMax M3 (direct)
{
agents: {
defaults: {
model: { primary: "minimax/MiniMax-M3" },
models: {
"minimax/MiniMax-M3": { alias: "Minimax" },
},
},
},
models: {
mode: "merge",
providers: {
minimax: {
baseUrl: "https://api.minimax.io/anthropic",
apiKey: "${MINIMAX_API_KEY}",
api: "anthropic-messages",
models: [
{
id: "MiniMax-M3",
name: "MiniMax M3",
reasoning: true,
input: ["text", "image"],
cost: { input: 0.6, output: 2.4, cacheRead: 0.12, cacheWrite: 0 },
contextWindow: 1000000,
maxTokens: 131072,
},
],
},
},
},
}

Set MINIMAX_API_KEY. Shortcuts: openclaw onboard --auth-choice minimax-global-api or openclaw onboard --auth-choice minimax-cn-api. The model catalog defaults to M3 and also includes the M2.7 variants. On the Anthropic-compatible streaming path, OpenClaw disables MiniMax M2.x thinking by default unless you explicitly set thinking yourself; MiniMax-M3 (and M3.x) stays on the provider’s omitted/adaptive thinking path by default. /fast on or params.fastMode: true rewrites MiniMax-M2.7 to MiniMax-M2.7-highspeed.

Moonshot AI (Kimi)
{
env: { MOONSHOT_API_KEY: "sk-..." },
agents: {
defaults: {
model: { primary: "moonshot/kimi-k2.6" },
models: { "moonshot/kimi-k2.6": { alias: "Kimi K2.6" } },
},
},
models: {
mode: "merge",
providers: {
moonshot: {
baseUrl: "https://api.moonshot.ai/v1",
apiKey: "${MOONSHOT_API_KEY}",
api: "openai-completions",
models: [
{
id: "kimi-k2.6",
name: "Kimi K2.6",
reasoning: false,
input: ["text", "image"],
cost: { input: 0.95, output: 4, cacheRead: 0.16, cacheWrite: 0 },
contextWindow: 262144,
maxTokens: 262144,
},
],
},
},
},
}

For the China endpoint: baseUrl: "https://api.moonshot.cn/v1" or openclaw onboard --auth-choice moonshot-api-key-cn.

Native Moonshot endpoints advertise streaming usage compatibility on the shared openai-completions transport, and OpenClaw keys that off endpoint capabilities rather than the built-in provider id alone.

OpenCode
{
agents: {
defaults: {
model: { primary: "opencode/claude-opus-4-6" },
models: { "opencode/claude-opus-4-6": { alias: "Opus" } },
},
},
}

Set OPENCODE_API_KEY (or OPENCODE_ZEN_API_KEY). Use opencode/... refs for the Zen catalog or opencode-go/... refs for the Go catalog. Shortcut: openclaw onboard --auth-choice opencode-zen or openclaw onboard --auth-choice opencode-go.

Synthetic (Anthropic-compatible)
{
env: { SYNTHETIC_API_KEY: "sk-..." },
agents: {
defaults: {
model: { primary: "synthetic/hf:MiniMaxAI/MiniMax-M2.5" },
models: { "synthetic/hf:MiniMaxAI/MiniMax-M2.5": { alias: "MiniMax M2.5" } },
},
},
models: {
mode: "merge",
providers: {
synthetic: {
baseUrl: "https://api.synthetic.new/anthropic",
apiKey: "${SYNTHETIC_API_KEY}",
api: "anthropic-messages",
models: [
{
id: "hf:MiniMaxAI/MiniMax-M2.5",
name: "MiniMax M2.5",
reasoning: true,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 192000,
maxTokens: 65536,
},
],
},
},
},
}

Base URL should omit /v1 (Anthropic client appends it). Shortcut: openclaw onboard --auth-choice synthetic-api-key.

Z.AI (GLM-4.7)
{
agents: {
defaults: {
model: { primary: "zai/glm-4.7" },
models: { "zai/glm-4.7": {} },
},
},
}

Set ZAI_API_KEY. Model refs use the canonical zai/* provider ID. Shortcut: openclaw onboard --auth-choice zai-api-key.

  • General endpoint: https://api.z.ai/api/paas/v4
  • Coding endpoint (default): https://api.z.ai/api/coding/paas/v4
  • For the general endpoint, define a custom provider with the base URL override.