* docs: repair spellcheck and anchor drift * docs: satisfy markdown anchor lint
75 KiB
summary, read_when, title
| summary | read_when | title | |||
|---|---|---|---|---|---|
| Use OpenAI via API keys or Codex subscription in OpenClaw |
|
OpenAI |
OpenClaw uses one provider id, openai, for both direct API-key auth and
ChatGPT/Codex subscription auth. openai/* is the canonical model route.
For embedded agent turns with runtime policy unset or auto, OpenAI's route
facts decide whether OpenClaw may select the bundled Codex app-server runtime
implicitly. The openai/* prefix alone does not select a runtime.
- Agent models -
openai/*through the runtime selected by explicitagentRuntimeconfig or OpenAI's implicit route policy. Sign in with Codex auth for ChatGPT/Codex subscription use, or configure an API-key auth profile when you want key-based billing. - Non-agent OpenAI APIs - direct OpenAI Platform access, billed per use,
through
OPENAI_API_KEYor anopenaiAPI-key auth profile. - Legacy config -
codex/*andopenai-codex/*refs are repaired toopenai/*plus model-scopedagentRuntime.id: "codex"byopenclaw doctor --fix.
OpenAI explicitly supports subscription OAuth usage in external tools and workflows like OpenClaw.
Usage and cost tracking
OpenClaw keeps subscription quota and Platform API billing distinct:
- ChatGPT/Codex OAuth shows the subscription plan, quota windows, and credit balance.
OPENAI_ADMIN_KEYshows 30 days of provider-reported organization cost and completions usage in Control UI Usage, including daily spend, request/token totals, top models, and cost categories.OPENAI_PROJECT_IDoptionally scopes Admin API history to one project.- OpenClaw never sends
OPENAI_API_KEYor anopenaiinference profile to organization APIs; those credentials may belong to custom, Azure, or agent-local endpoints.
An explicit Admin key takes precedence over OAuth. Provider-reported history is not merged with OpenClaw's session-derived estimated cost; it can include API activity from other clients and provider-side billing adjustments.
OpenAI's API Usage Dashboard documentation describes the organization-owner and explicit Usage Dashboard permission requirements for usage data.
Provider, model, runtime, and channel are separate layers. If those labels are getting mixed together, read Agent runtimes before changing config.
Quick choice
| Goal | Use | Notes |
|---|---|---|
| ChatGPT/Codex subscription, native Codex runtime | openai/gpt-5.6-sol |
Fresh subscription setup; sign in with Codex auth. |
| Direct API-key billing for agent turns | openai/gpt-5.6-sol plus an ordered API-key auth profile |
Fresh API-key setup uses the explicit Sol id. |
| Choose an exact GPT-5.6 tier | openai/gpt-5.6-sol, -terra, or -luna |
Check models list for the tiers available to this account. |
| Account without GPT-5.6 access | openai/gpt-5.5 |
Explicit recovery choice; OpenClaw does not silently downgrade. |
| Direct API-key billing, explicit OpenClaw runtime | openai/gpt-5.6 plus provider/model agentRuntime.id: "openclaw" |
Select a normal openai API-key profile. |
| Latest ChatGPT Instant model alias | openai/chat-latest |
Direct API-key only; moving alias, not the stable default. |
| Image generation or editing | openai/gpt-image-2 |
Works with OPENAI_API_KEY or Codex OAuth. |
| Transparent-background images | openai/gpt-image-1.5 |
Set outputFormat to png or webp and background=transparent. |
Naming map
| Name you see | Layer | Meaning |
|---|---|---|
openai |
Provider prefix | Canonical OpenAI model route; route facts determine the implicit runtime. |
codex plugin |
Plugin | Bundled plugin providing the native Codex app-server runtime and /codex chat controls. |
provider/model agentRuntime.id: codex |
Agent runtime | Force the native Codex app-server harness for matching embedded turns. |
/codex ... |
Chat command set | Bind/control Codex app-server threads from a conversation. |
runtime: "acp", agentId: "codex" |
ACP session route | Explicit fallback path that runs Codex through ACP/acpx. |
Implicit agent runtime
When provider/model agentRuntime policy is unset or auto, OpenAI's
provider-owned route policy chooses the implicit runtime from the effective
endpoint and adapter:
| Effective route facts | Implicit runtime |
|---|---|
Exact official Platform HTTPS endpoint with openai-responses, or exact official ChatGPT HTTPS endpoint with openai-chatgpt-responses; no authored provider request override |
Codex may be selected |
Authored openai-completions adapter |
OpenClaw |
| Custom endpoint | OpenClaw |
| Explicit exact official endpoint using HTTP | Rejected |
| Route with an authored provider/model request override | OpenClaw |
Valid model-scoped params.fastMode / params.fast_mode values and valid
cutoff keys are typed agent-runtime controls, not authored provider request
params. They do not disqualify implicit Codex selection or select a runtime by
themselves. Pin agentRuntime.id: "openclaw" or agentRuntime.id: "codex"
when a recipe depends on one runtime.
An explicit non-default provider/model agentRuntime.id remains authoritative.
For example, agentRuntime.id: "openclaw" keeps an otherwise Codex-eligible
route on OpenClaw, while agentRuntime.id: "codex" requires Codex and fails
closed when the effective route is not declared Codex-compatible.
Runtime selection does not change credential type or billing: Platform API-key
auth and ChatGPT/Codex subscription auth remain distinct.
openclaw doctor --fix migrates legacy codex/* and openai-codex/* model
refs, legacy Codex auth profile ids, and legacy Codex auth-order entries to the
canonical openai route. Migrated model refs receive model-scoped
agentRuntime.id: "codex"; use auth.order.openai for new auth-order config.
GPT-5.6 limited preview
OpenClaw recognizes the exact openai/gpt-5.6-sol,
openai/gpt-5.6-terra, and openai/gpt-5.6-luna model ids. All three expose
xhigh and max reasoning in the current catalog. OpenAI describes Sol as
the flagship tier, Terra as the balanced tier, and Luna as the fast,
lower-cost tier. See the
GPT-5.6 launch announcement
and access guide.
OpenAI's GPT-5.6 Sol model page
documents the bare openai/gpt-5.6 id as a supported alias for Sol. Fresh
API-key and ChatGPT/Codex OAuth setup use the canonical openai/gpt-5.6-sol
ref so model pickers do not show both names for the same tier. Run
openclaw doctor --fix to rewrite persisted bare OpenAI refs to that canonical
identity. The native Codex catalog can show the exact Sol, Terra, and Luna ids depending on
workspace access. Check the current account with:
openclaw models list --provider openai
API organization and Codex workspace access can differ. If GPT-5.6 is not available, select GPT-5.5 explicitly:
openclaw models set openai/gpt-5.5
OpenClaw surfaces the upstream access error and does not silently replace a GPT-5.6 selection with GPT-5.5.
Eligible exact official HTTPS routes may select the bundled Codex app-server plugin when runtime policy is unset or `auto`; authored Completions routes, custom endpoints, and request-transport overrides remain on OpenClaw. Plaintext official HTTP endpoints are rejected. Explicit provider/model runtime config remains authoritative. Run `openclaw doctor --fix` to repair stale legacy Codex model refs, `codex-cli/*` refs, or old runtime session pins that were not set by explicit runtime config.OpenClaw feature coverage
| OpenAI capability | OpenClaw surface | Status |
|---|---|---|
| Chat / Responses | openai/<model> model provider |
Yes |
| Codex subscription models | openai/<model> with OpenAI OAuth |
Yes |
| Legacy Codex model refs | old Codex model refs, codex-cli/<model> |
Repaired by doctor to openai/<model> |
| Codex app-server harness | Codex-compatible HTTPS route with runtime unset/auto, or explicit agentRuntime.id: codex |
Yes |
| Server-side web search | Native OpenAI Responses tool | Yes, when web search is enabled and no other provider is pinned |
| Images | image_generate |
Yes |
| Videos | video_generate |
Yes |
| Text-to-speech | tts.provider: "openai" / tts |
Yes |
| Batch speech-to-text | tools.media.audio / media understanding |
Yes |
| Streaming speech-to-text | Voice Call streaming.provider: "openai" |
Yes |
| Realtime voice | Voice Call realtime.provider: "openai" / Control UI Talk talk.realtime.provider: "openai" |
Yes (Platform API key; ChatGPT OAuth for browser/Gateway-relay GPT-Live) |
| Embeddings | memory embedding provider | Yes |
Platform auth is resolved in this order: configured realtime API key, openai
API-key profile, then OPENAI_API_KEY. ChatGPT OAuth does not configure GA
Talk, Voice Call, Discord realtime voice, or realtime transcription.
If API-key auth reports missing billing, top up Platform credits at
platform.openai.com/account/billing
for the organization backing your realtime credentials when using API-key
auth. Realtime voice accepts the openai API-key auth profile created by
openclaw onboard --auth-choice openai-api-key, a Platform API key set via
talk.realtime.providers.openai.apiKey for Control UI Talk, or
plugins.entries.voice-call.config.realtime.providers.openai.apiKey for Voice
Call, or the OPENAI_API_KEY environment variable.
In Control UI Video Talk with Platform auth, OpenAI WebRTC receives camera context on demand:
when the model calls describe_view, the browser sends one bounded JPEG over
the realtime data channel. OpenClaw does not attach a continuous camera track
to the OpenAI session.
Memory embeddings
OpenClaw can use OpenAI, or an OpenAI-compatible embedding endpoint, for
memory_search indexing and query embeddings:
{
memory: {
search: {
provider: "openai",
model: "text-embedding-3-small",
},
},
}
For OpenAI-compatible endpoints that require asymmetric embedding labels, set
queryInputType and documentInputType under memory.search. OpenClaw
forwards these as provider-specific input_type request fields: query
embeddings use queryInputType; indexed memory chunks and batch indexing use
documentInputType. See the
Memory configuration reference
for the full example.
Getting started
**Best for:** direct API access and usage-based billing.<Steps>
<Step title="Get your API key">
Create or copy an API key from the [OpenAI Platform dashboard](https://platform.openai.com/api-keys).
</Step>
<Step title="Run onboarding">
```bash
openclaw onboard --auth-choice openai-api-key
```
Or pass the key directly:
```bash
openclaw onboard --openai-api-key "$OPENAI_API_KEY"
```
</Step>
<Step title="Verify the model is available">
```bash
openclaw models list --provider openai
```
</Step>
</Steps>
### Route summary
| Model ref | Runtime policy or route facts | Route | Auth |
| ---------------- | ------------------------------------------------------------- | ------------------------- | --------------------------------- |
| `openai/gpt-5.6` | unset/`auto`, exact official HTTPS native route, no request override | Codex may be selected | Ordered API-key auth profile |
| `openai/gpt-5.6` | provider/model `agentRuntime.id: "openclaw"` | OpenClaw embedded runtime | Selected `openai` API-key profile |
| `openai/gpt-5.5` | explicit provider/model `agentRuntime.id` | Selected agent runtime | Selected OpenAI API-key profile |
| `openai/*` | authored Completions, custom, or request override | OpenClaw embedded runtime | Credential type remains unchanged |
| `openai/*` | plaintext official HTTP endpoint | Rejected | Credential is not sent |
<Note>
With runtime unset or `auto`, only an eligible exact official HTTPS native
route may select the Codex app-server harness implicitly. For API-key auth
on an agent model, create an `openai` API-key auth profile and order it with
`auth.order.openai`; `OPENAI_API_KEY` remains the direct fallback for
non-agent OpenAI API surfaces. Run `openclaw doctor --fix` to migrate older
legacy Codex auth-order entries.
</Note>
### Config example
```json5
{
env: { vars: { OPENAI_API_KEY: "example-openai-key-not-real" } },
agents: { defaults: { model: { primary: "openai/gpt-5.6-sol" } } },
}
```
The bare direct-API `gpt-5.6` alias is also accepted and resolves to the
Sol tier. If this API organization does not expose GPT-5.6, set the primary
to `openai/gpt-5.5` explicitly.
To try ChatGPT's current Instant model from the OpenAI API, set the model
to `openai/chat-latest`:
```json5
{
env: { vars: { OPENAI_API_KEY: "example-openai-key-not-real" } },
agents: { defaults: { model: { primary: "openai/chat-latest" } } },
}
```
`chat-latest` is a moving alias. Fresh OpenAI API-key setup instead uses
`openai/gpt-5.6-sol`. The bare direct-API `openai/gpt-5.6` alias remains
supported and resolves to Sol. Existing
explicit primaries, including `openai/gpt-5.5`, remain unchanged. The
`chat-latest` alias only accepts `medium` text verbosity; OpenClaw forces
any other requested verbosity to `medium` for this model.
<Warning>
OpenClaw does **not** expose `gpt-5.3-codex-spark` on the direct OpenAI
API-key route. It is available only through Codex subscription catalog
entries when your signed-in account exposes it.
</Warning>
**Best for:** using your ChatGPT/Codex subscription with native Codex
app-server execution instead of a separate API key. Codex cloud requires
ChatGPT sign-in.
<Steps>
<Step title="Run Codex OAuth">
```bash
openclaw onboard --auth-choice openai
```
Or run OAuth directly:
```bash
openclaw models auth login --provider openai
```
For headless or callback-hostile setups, add `--device-code` to sign
in with a ChatGPT device-code flow instead of the localhost browser
callback:
```bash
openclaw models auth login --provider openai --device-code
```
</Step>
<Step title="Use the canonical OpenAI model route">
```bash
openclaw config set agents.defaults.model.primary openai/gpt-5.6-sol
```
No runtime config is required for this exact official HTTPS native
route. It may select the Codex app-server runtime automatically, and
OpenClaw installs or repairs the bundled Codex plugin when that runtime
is chosen.
</Step>
<Step title="Verify Codex auth is available">
```bash
openclaw models list --provider openai
```
After the gateway is running, send `/codex status` or `/codex models`
in chat to verify the native app-server runtime.
</Step>
</Steps>
### Route summary
| Model ref | Runtime policy or route facts | Route | Auth |
| ------------------------ | ------------------------------------------------------------- | -------------------------------------------------------- | -------------------------------------------------- |
| `openai/gpt-5.6-sol` | unset/`auto`, exact official HTTPS native route, no request override | Codex may be selected | Codex sign-in, or an ordered `openai` auth profile |
| `openai/gpt-5.6-terra` | unset/`auto`, exact official HTTPS native route, no request override | Codex may be selected | Codex sign-in when the catalog exposes Terra |
| `openai/gpt-5.6-luna` | unset/`auto`, exact official HTTPS native route, no request override | Codex may be selected | Codex sign-in when the catalog exposes Luna |
| `openai/gpt-5.6-sol` | provider/model `agentRuntime.id: "openclaw"` | OpenClaw embedded runtime, internal Codex-auth transport | Selected `openai` OAuth profile |
| `openai/gpt-5.5` | explicit provider/model `agentRuntime.id` | Selected agent runtime | Selected OpenAI auth profile |
| `openai/*` | authored Completions, custom, or request override | OpenClaw embedded runtime | Credential requirement remains route-specific |
| `openai/*` | plaintext official HTTP endpoint | Rejected | Credential is not sent |
| Legacy Codex GPT-5.5 ref | repaired by doctor | Rewritten to `openai/gpt-5.5` | Migrated OpenAI OAuth profile |
| `codex-cli/gpt-5.5` | repaired by doctor | Rewritten to `openai/gpt-5.5` | Codex app-server auth |
<Warning>
Fresh subscription-backed setup uses exact `openai/gpt-5.6-sol`; the
native Codex catalog may also expose exact Terra or Luna refs. If the
account does not expose GPT-5.6, select `openai/gpt-5.5` explicitly. Older
Codex GPT refs are legacy OpenClaw routes, not the native Codex runtime
path; run `openclaw doctor --fix` to migrate them without upgrading an
existing explicit GPT-5.5 selection. `gpt-5.3-codex-spark` stays limited
to accounts whose Codex subscription catalog advertises it; direct OpenAI
API-key and Azure refs for it stay suppressed.
</Warning>
<Note>
New config should put OpenAI agent auth order under `auth.order.openai`;
doctor migrates older legacy Codex auth-order entries.
</Note>
### Config example
```json5
{
plugins: { entries: { codex: { enabled: true } } },
agents: {
defaults: {
model: { primary: "openai/gpt-5.6-sol" },
},
},
}
```
With an API-key backup, keep the selected model under `openai/*` and put
the auth order under `openai`. OpenClaw tries the subscription first, then
the API key, while staying on the Codex harness:
```json5
{
plugins: { entries: { codex: { enabled: true } } },
agents: {
defaults: {
model: { primary: "openai/gpt-5.6-sol" },
},
},
auth: {
order: {
openai: [
"openai:user@example.com",
"openai:api-key-backup",
],
},
},
}
```
<Note>
Onboarding no longer imports OAuth material from `~/.codex`. Sign in with
browser OAuth (default) or the device-code flow above; OpenClaw manages the
resulting credentials in its own agent auth store.
</Note>
### Check and recover Codex OAuth routing
```bash
openclaw models status
openclaw models auth list --provider openai
openclaw config get agents.defaults.model --json
openclaw config get models.providers.openai.agentRuntime --json
```
For a specific agent, add `--agent <id>`:
```bash
openclaw models status --agent <id>
openclaw models auth list --agent <id> --provider openai
```
If an older config still has legacy Codex GPT refs, or a stale OpenAI
runtime session pin without explicit runtime config, repair it:
```bash
openclaw doctor --fix
openclaw config validate
```
If `models auth list --provider openai` shows no usable profile, sign in
again:
```bash
openclaw models auth login --provider openai
openclaw models status --probe --probe-provider openai
```
Use `--profile-id` for multiple Codex OAuth logins in the same agent, then
control them via auth ordering or `/model ...@<profileId> -s`:
```bash
openclaw models auth login --provider openai --profile-id openai:ritsuko
openclaw models auth login --provider openai --profile-id openai:lain
```
Run `openclaw doctor --fix` to migrate older legacy OpenAI Codex prefix
profile ids and order entries before relying on profile ordering.
### Status indicator
Chat `/status` shows which model runtime is active for the current
session. The bundled Codex app-server harness appears as
`Runtime: OpenAI Codex` when an eligible implicit route or explicit
provider/model runtime policy selects it.
### Doctor warning
If legacy Codex model refs or stale OpenAI runtime pins remain in config
or session state, `openclaw doctor --fix` rewrites them to `openai/*` with
the Codex runtime unless OpenClaw is explicitly configured.
### Context window defaults and long-context opt-in
OpenClaw treats native model capacity and the active runtime budget as
separate values:
- `contextWindow` declares the provider's total model window.
- `contextTokens` caps how much of that window OpenClaw uses for active input.
ChatGPT/Codex OAuth follows the live Codex account catalog. The current
catalog commonly advertises a `272000` token active window for GPT-5.6.
Direct API-key GPT-5.5 and GPT-5.6 models also default to `272000`
`contextTokens`, even though the Platform API exposes a larger native
window. This keeps the normal latency, quality, and cost profile consistent
across auth modes. A configured `agents.defaults.contextTokens` value can
lower that budget further, but it cannot raise a model above its configured
`contextTokens` cap.
For direct API-key GPT-5.5 and GPT-5.6, OpenAI documents a `1050000`
token provider window and `128000` maximum output tokens. Reserving the
full output allowance gives the shared safe input budget used by both
runtime recipes below:
```text
1050000 total - 128000 maximum output = 922000 safe active input
automatic compaction threshold = 700000 active tokens
```
`922000` is a derived operating budget, not a separate provider-published
input limit. The two runtimes translate that budget differently: embedded
OpenClaw sends Responses compaction controls, while native Codex owns its
catalog window and automatic compaction. See the official
[model comparison](https://developers.openai.com/api/docs/models/compare)
and [GPT-5.5 model page](https://developers.openai.com/api/docs/models/gpt-5.5).
#### Embedded OpenClaw translation
This example pins the exact Sol model to the embedded OpenClaw runtime,
enables OpenAI API Fast mode through the shared runtime control, and asks OpenAI Responses
to compact at `700000` active tokens:
```json5
{
models: {
providers: {
openai: {
models: [
{
id: "gpt-5.6-sol",
name: "GPT-5.6 Sol",
contextWindow: 1050000,
contextTokens: 922000,
maxTokens: 128000,
},
],
},
},
},
agents: {
defaults: {
model: { primary: "openai/gpt-5.6-sol" },
models: {
"openai/gpt-5.6-sol": {
agentRuntime: { id: "openclaw" },
params: {
fastMode: true,
responsesServerCompaction: true,
responsesCompactThreshold: 700000,
},
},
},
},
},
}
```
OpenAI Responses automatic compaction emits an encrypted `compaction`
output item. A stateless client carries the newest item into the next
request and may drop every earlier input item. OpenClaw persists that item
opaquely, fences reuse by route, session, and auth, replays it, prunes the
replaced prefix, carries it through worker transcript commits, and removes
it from display and diagnostics. Never print, log, or expose the encrypted
content.
A process-owned isolated-Gateway run verified this exact
`openai/gpt-5.6-sol` configuration. Dense turns reached `295098`, `586562`,
and `863664` prompt tokens. Turn three emitted and persisted a first-class
server compaction item; the next request replayed that exact opaque item,
pruned its prefix, and used `9602` prompt tokens. A deterministic long
response produced `5480` output tokens, durable markers survived compaction
and Gateway restart, restart latency was `12081` ms, every call reported
`serviceTier: priority`, and the full suite took `220.03` seconds. These
timings are observations, not service-level guarantees.
#### Native Codex translation
Keep the same OpenClaw model selection, but make Codex the explicit runtime
and do not add Responses compaction params to this model entry:
```json5
{
agents: {
defaults: {
model: { primary: "openai/gpt-5.6-sol" },
models: {
"openai/gpt-5.6-sol": {
agentRuntime: { id: "codex" },
params: { fastMode: true },
},
},
},
},
}
```
Codex must receive `922000` for both `context_window` and
`max_context_window`, `700000` for `auto_compact_token_limit`, and matching
app-server overrides with `model_auto_compact_token_limit_scope=total`.
Codex then applies its 95% effective-window reserve, yielding `875900`
active tokens. Configure an ordered OpenAI API-key profile and keep the
default isolated agent-scoped Codex home. The complete catalog, app-server,
auth, and restart recipe is in
[Codex harness long context](/plugins/codex-harness#direct-api-long-context).
These examples are two explicit runtime choices, not one auto-selecting
configuration. The model-scoped `agentRuntime` and runtime-owned compaction
settings must change together. OpenClaw can retain both choices only when
their model refs or agent configurations are distinguishable; otherwise,
switch the model runtime and its matching config as one atomic change. Then
restart the Gateway and native Codex app-server, run `/model default -s`,
and start a fresh chat. Existing native Codex threads retain the provider
and model recorded when they were created.
<Warning>
OpenAI applies higher long-context pricing once a GPT-5.5 or GPT-5.6
request exceeds `272000` input tokens: the whole qualifying request is
billed at 2× input and cache rates and 1.5× output rates. Fast-mode pricing
is model-specific; GPT-5.6 Sol API Fast mode is currently another 2× over
Standard. For that model, combined long-context Fast traffic is therefore
4× short-context Standard input-side pricing and 3× short-context Standard
output pricing. Large prompts are resent or compacted across turns, so an
opt-in session can cost substantially more than the default even when the
visible reply is short. See [Fast mode](https://openai.com/api-priority-processing/)
and [OpenAI API pricing](https://developers.openai.com/api/docs/pricing).
The API remains authoritative for account access, actual limits, and billing.
</Warning>
### Catalog recovery
OpenClaw uses upstream Codex catalog metadata for `gpt-5.5` when it is
present. If live Codex discovery omits the `gpt-5.5` row while the account
is authenticated, OpenClaw synthesizes that OAuth model row so cron,
sub-agent, and configured default-model runs do not fail with
`Unknown model`.
Native Codex app-server auth
The native Codex app-server harness uses openai/* model refs when an eligible
exact official HTTPS route selects it implicitly, or when provider/model
agentRuntime.id: "codex" selects it explicitly. Its auth is still
account-based. OpenClaw selects auth in this order:
- Ordered OpenAI auth profiles for the agent, preferably under
auth.order.openai. Runopenclaw doctor --fixto migrate older legacy Codex auth profile ids and auth order. - The app-server's existing account, such as a local Codex CLI ChatGPT sign-in. For the default isolated agent home, OpenClaw bridges that native CLI account into the app-server through its login RPC; it does not share the CLI's config, plugins, or thread store.
- For local stdio app-server launches only, and only when the app-server
reports no account:
CODEX_API_KEY, thenOPENAI_API_KEY.
The default per-agent codex-home/auth.json is not a runtime auth store. If
you copied or mounted Codex CLI credentials there, import them into the agent's
OpenClaw auth store before starting a native Codex turn. Replace <agent-id>
with the configured agent that owns this Codex home:
openclaw migrate plan codex --from <codex-home> --agent <agent-id> --include-secrets --item auth:openai
openclaw migrate apply codex --from <codex-home> --agent <agent-id> --include-secrets --item auth:openai --yes
A local ChatGPT/Codex subscription sign-in is not replaced just because the
gateway process also has OPENAI_API_KEY for direct OpenAI models or
embeddings. The env API-key fallback applies only to the local stdio no-account
path; it is never sent over WebSocket app-server connections. When a
subscription-style Codex profile is selected, OpenClaw also keeps
CODEX_API_KEY and OPENAI_API_KEY out of the spawned stdio app-server child
and sends the selected credentials through the app-server login RPC instead.
When that subscription profile is blocked by a Codex usage limit, OpenClaw
marks the profile blocked until Codex's advertised reset time and lets auth
ordering rotate to the next openai:* profile, without changing the selected
model or dropping out of the Codex harness. Once the reset time passes, the
subscription profile is eligible again.
Image generation
The bundled openai plugin registers image generation through the
image_generate tool. It supports both OpenAI API-key and Codex OAuth image
generation through the same openai/gpt-image-2 model ref.
| Capability | OpenAI API key | Codex OAuth |
|---|---|---|
| Model ref | openai/gpt-image-2 |
openai/gpt-image-2 |
| Auth | OPENAI_API_KEY |
OpenAI Codex OAuth sign-in |
| Transport | OpenAI Images API | Codex Responses backend |
| Max images per request | 4 | 4 |
| Edit mode | Enabled (up to 5 reference images) | Enabled (up to 5 reference images) |
| Moderation | low or auto; generate and edit |
low or auto; generate and edit |
| Size overrides | Supported, including 2K/4K sizes | Supported, including 2K/4K sizes |
| Aspect ratio / resolution | Not forwarded to OpenAI Images API | Mapped to a supported size when safe |
{
agents: {
defaults: {
mediaModels: { image: { primary: "openai/gpt-image-2" } },
},
},
}
gpt-image-2 is the default for OpenAI text-to-image generation and image
editing. gpt-image-1.5, gpt-image-1, and gpt-image-1-mini remain usable
as explicit model overrides. Use openai/gpt-image-1.5 for
transparent-background PNG/WebP output; the current gpt-image-2 API rejects
background: "transparent".
For a transparent-background request, call image_generate with
model: "openai/gpt-image-1.5", outputFormat: "png" or "webp", and
background: "transparent"; the older openai.background provider option is
still accepted. OpenClaw also protects the public OpenAI and OpenAI Codex OAuth
routes by rewriting default openai/gpt-image-2 transparent requests to
gpt-image-1.5; Azure and custom OpenAI-compatible endpoints keep their
configured deployment/model names.
The same setting is exposed for headless CLI runs:
openclaw infer image generate \
--model openai/gpt-image-1.5 \
--output-format png \
--background transparent \
--prompt "A simple red circle sticker on a transparent background" \
--json
Use the same --output-format and --background flags with
openclaw infer image edit when starting from an input file.
--openai-background remains available as an OpenAI-specific alias. Use
--quality low|medium|high|auto to control OpenAI Images quality and cost.
Use --openai-moderation low|auto with both image generate and image edit
to pass OpenAI's moderation hint. The direct OpenAI Images API and the
ChatGPT/Codex OAuth Responses backend both support moderation for text-to-image
generation and reference-image edits.
For ChatGPT/Codex OAuth installs, keep the same openai/gpt-image-2 ref. When
an openai OAuth profile is configured, OpenClaw resolves that stored OAuth
access token and sends image requests through the Codex Responses backend; it
does not first try OPENAI_API_KEY or silently fall back to an API key.
Configure models.providers.openai explicitly with an API key, custom base
URL, or Azure endpoint when you want the direct OpenAI Images API route
instead. If that custom image endpoint is on a trusted LAN/private address,
also set browser.ssrfPolicy.dangerouslyAllowPrivateNetwork: true; OpenClaw
keeps private/internal OpenAI-compatible image endpoints blocked unless this
opt-in is present.
Generate:
/tool image_generate model=openai/gpt-image-2 prompt="A polished launch poster for OpenClaw on macOS" size=3840x2160 count=1
Generate a transparent PNG:
/tool image_generate model=openai/gpt-image-1.5 prompt="A simple red circle sticker on a transparent background" outputFormat=png background=transparent
Edit:
/tool image_generate model=openai/gpt-image-2 prompt="Preserve the object shape, change the material to translucent glass" image=/path/to/reference.png size=1024x1536
Video generation
The bundled openai plugin registers video generation through the
video_generate tool.
| Capability | Value |
|---|---|
| Default model | openai/sora-2 |
| Modes | Text-to-video, image-to-video, single-video edit |
| Reference inputs | 1 image or 1 video |
| Size overrides | Supported for text-to-video and image-to-video |
| Aspect ratio | Converted to the closest supported size, not forwarded raw |
| Other overrides | resolution, audio, watermark are unsupported and dropped with a tool warning |
OpenAI image-to-video requests use POST /v1/videos with an image
input_reference. Single-video edits use POST /v1/videos/edits with the
uploaded video in the video field.
{
agents: {
defaults: {
mediaModels: { video: { primary: "openai/sora-2" } },
},
},
}
The OpenAI provider declares supportsSize but not supportsAspectRatio or
supportsResolution. OpenClaw's shared normalization layer converts a
requested aspectRatio into the closest matching OpenAI size before the
request reaches the provider, so aspect-ratio requests generally still work.
resolution has no size fallback and is dropped, surfaced to the caller as
Ignored unsupported overrides for openai/<model>: resolution=<value>.
GPT-5 prompt contribution
OpenClaw adds a shared GPT-5 prompt contribution to matching GPT-5-family OpenClaw-assembled prompts. The OpenAI plugin setting below controls the friendly style on OpenAI-family routes. Older GPT-4.x model ids do not match.
The native Codex app-server harness does not receive the persona/tool- discipline behavior contract or the friendly interaction-style overlay through developer instructions; native Codex keeps Codex-owned base, model, and project-doc behavior, and OpenClaw disables Codex's built-in personality for native threads so agent workspace personality files stay authoritative. OpenClaw contributes only runtime context to native Codex threads: channel delivery, OpenClaw dynamic tools, ACP delegation, workspace context, and OpenClaw skills. The heartbeat-guidance text from this same contribution is the one exception: native Codex heartbeat turns do get it, injected as dedicated collaboration instructions rather than through the shared prompt-contribution hook.
The GPT-5 contribution adds a tagged behavior contract for persona persistence, execution safety, tool discipline, output shape, completion checks, and verification on matching OpenClaw-assembled prompts. Channel- specific reply and silent-message behavior stays in the shared OpenClaw system prompt and outbound delivery policy. The friendly interaction-style layer is separate and configurable.
| Value | Effect |
|---|---|
"friendly" (default) |
Enable the friendly interaction-style layer |
"on" |
Alias for "friendly" |
"off" |
Disable only the friendly style layer |
Voice and speech
The bundled `openai` plugin registers speech synthesis for the `tts` surface.| Setting | Config path | Default |
| ------------- | --------------------------------------------------------- | ----------------------------------- |
| Model | `tts.providers.openai.model` | `gpt-4o-mini-tts` |
| Voice | `tts.providers.openai.speakerVoice` | `coral` |
| Speed | `tts.providers.openai.speed` | (unset) |
| Instructions | `tts.providers.openai.instructions` | (unset, `gpt-4o-mini-tts` family only) |
| Format | `tts.providers.openai.responseFormat` | `opus` for voice notes, `mp3` for files |
| API key | `tts.providers.openai.apiKey` | Falls back to `OPENAI_API_KEY` |
| Base URL | `tts.providers.openai.baseUrl` | `https://api.openai.com/v1` |
| Extra body | `tts.providers.openai.extraBody` / `extra_body` | (unset) |
Available models: `gpt-4o-mini-tts`, `gpt-4o-mini-tts-2025-12-15`, `tts-1`,
`tts-1-hd`. Available voices: `alloy`, `ash`, `ballad`, `cedar`, `coral`,
`echo`, `fable`, `juniper`, `marin`, `onyx`, `nova`, `sage`, `shimmer`,
`verse`.
`extraBody` is merged into `/audio/speech` request JSON after OpenClaw's
generated fields, so use it for OpenAI-compatible endpoints that require
additional keys such as `lang`. Prototype keys are ignored.
```json5
{
tts: {
providers: {
openai: { model: "gpt-4o-mini-tts", speakerVoice: "coral" },
},
},
}
```
<Note>
Set `OPENAI_TTS_BASE_URL` to override the TTS base URL without affecting
the chat API endpoint. OpenAI TTS and GA Realtime voice are configured
through an OpenAI Platform API key. OAuth-only installs can use
Codex-backed chat models plus GPT-Live and GA Realtime browser Talk over a
ChatGPT subscription (see the Realtime accordion). They cannot use OpenAI
TTS, iOS Realtime WebRTC, Voice Call, Gateway relay, or Discord realtime
voice without a Platform API key.
</Note>
The bundled `openai` plugin registers batch speech-to-text through
OpenClaw's media-understanding transcription surface.
- Default model: `gpt-4o-transcribe`
- Endpoint: OpenAI REST `/v1/audio/transcriptions`
- Input path: multipart audio file upload
- Used wherever inbound audio transcription reads `tools.media.audio`,
including Discord voice-channel segments and channel audio attachments
To force OpenAI for inbound audio transcription:
```json5
{
tools: {
media: {
models: [
{
type: "provider",
provider: "openai",
model: "gpt-4o-transcribe",
capabilities: ["audio"],
},
],
audio: {
enabled: true,
},
},
},
}
```
Language and prompt hints are forwarded to OpenAI when supplied by the
shared audio media config or per-call transcription request.
The bundled `openai` plugin registers realtime transcription for the
Voice Call plugin.
| Setting | Config path | Default |
| ----------------- | ----------------------------------------------------------------------- | --------- |
| Model | `plugins.entries.voice-call.config.streaming.providers.openai.model` | `gpt-4o-transcribe` |
| Language | `...openai.language` | (unset) |
| Prompt | `...openai.prompt` | (unset) |
| Silence duration | `...openai.silenceDurationMs` | `800` |
| VAD threshold | `...openai.vadThreshold` | `0.5` |
| Auth | `...openai.apiKey`, `OPENAI_API_KEY`, or `openai` API-key profile | Platform API key required |
<Note>
Uses a WebSocket connection to `wss://api.openai.com/v1/realtime` with
G.711 u-law (`g711_ulaw` / `audio/pcmu`) audio. For an `openai` API-key
profile, the Gateway mints an ephemeral Realtime transcription client
secret before opening the WebSocket. This streaming provider is for Voice
Call's realtime transcription path; Discord voice currently records short
segments and uses the batch `tools.media.audio` transcription path
instead.
</Note>
The bundled `openai` plugin registers realtime voice for the Voice Call
plugin.
| Setting | Config path | Default |
| --------------------------------------- | ---------------------------------------------------------------------------- | ---------------------- |
| Model | `plugins.entries.voice-call.config.realtime.providers.openai.model` | `gpt-realtime-2.1` |
| Voice | `...openai.voice` | `alloy` |
| Temperature (Azure deployment bridge) | `...openai.temperature` | `0.8` |
| VAD threshold | `...openai.vadThreshold` | `0.5` |
| Silence duration | `...openai.silenceDurationMs` | `500` |
| Prefix padding | `...openai.prefixPaddingMs` | `300` |
| Reasoning effort | `...openai.reasoningEffort` | (unset) |
| Auth | `openai` auth profile, `...openai.apiKey`, or `OPENAI_API_KEY` | Platform API key; ChatGPT OAuth for browser and Gateway-relay GPT-Live |
Available built-in Realtime voices for `gpt-realtime-2.1`: `alloy`, `ash`,
`ballad`, `coral`, `echo`, `sage`, `shimmer`, `verse`, `marin`, `cedar`.
OpenAI recommends `marin` and `cedar` for the best Realtime quality. This
is a separate set from the Text-to-speech voices above; a TTS-only voice
such as `fable`, `nova`, or `onyx` is not valid for Realtime sessions.
Set the model explicitly to `gpt-realtime-2.1-mini` when you prefer the
smaller, lower-cost Realtime 2.1 variant.
#### GA Realtime browser Talk over ChatGPT OAuth
Browser Talk can use `gpt-realtime-2.1`, `gpt-realtime-2.1-mini`, or
`gpt-realtime-2` with either Platform API-key auth or an OpenClaw ChatGPT
OAuth subscription profile. Platform auth keeps precedence in this order:
the configured realtime key, an `openai` API-key profile, then
`OPENAI_API_KEY`. When none is configured, the Gateway falls back to the
ChatGPT OAuth profile created by
`openclaw models auth login --provider openai`.
The two browser paths expose the same Talk session contract but keep
credentials on different sides of the trust boundary. Platform auth mints
an ephemeral client secret and the browser exchanges SDP directly with
OpenAI. OAuth auth stays in the Gateway: the existing single-use offer
broker sends raw `application/sdp` to
`/v1/realtime/calls?model=<model>` and returns only the answer SDP. The
OAuth token never reaches the browser. A configured Platform credential
that cannot be resolved still fails closed; repair or remove that source
before OAuth fallback can apply.
This GA OAuth fallback is browser-only. iOS client-owned WebRTC, Voice
Call, Gateway relay, provider WebSocket transports, Discord realtime voice,
and other backend GA Realtime bridges remain Platform-key-only.
#### GPT-Live transport paths
GPT-Live is supported for browser Talk and Gateway-owned `gateway-relay`
Talk using ChatGPT OAuth or an enrolled Platform API key. Both paths create
a WebRTC call at `/v1/live`; the Gateway relay uses a `werift` peer and keeps
media, credentials, and the authenticated sideband on the Gateway. Discord
and Voice Call use the Frameless Bidi
`wss://api.openai.com/v1/live?model=...` endpoint with Platform API-key auth.
Use `gpt-live-1-codex` (recommended) or
`gpt-live-1-boulder-alpha`. The values `gpt-live-1` and
`gpt-live-1-mini` are not valid on this route. Opt in explicitly with
`talk.realtime.model`; `gpt-realtime-2.1` remains the GA default.
GPT-Live accepts these voices: `alloy`, `ash`, `ballad`, `cedar`, `coral`,
`echo`, `marin`, `sage`, `shimmer`, and `verse`. OpenClaw defaults to
`marin` and maps unknown or unsupported configured voices back to it.
Browser WebRTC prerequisites, in order:
1. A ChatGPT OAuth auth profile: `openclaw models auth login --provider openai`.
An existing Codex CLI (`~/.codex`) sign-in is **not** read; the profile
must exist in OpenClaw. A Platform API key with `/v1/live` access works
instead, but that access is waitlist-gated.
2. `talk.realtime.model` set to a `gpt-live-*` value — via **Settings →
Talk** in the Control UI or the config below.
3. The bundled `openai` plugin registered in full mode. A restrictive
`plugins.allow` list fails with "OpenAI GPT-Live browser session broker
is unavailable".
Note one asymmetric failure mode: a configured Platform API key that
cannot be resolved (for example a broken secret reference) suppresses the
OAuth fallback with "fix or remove it" — repair or delete the key rather
than expecting OAuth to take over silently.
```json5
{
talk: {
realtime: {
provider: "openai",
model: "gpt-live-1-codex",
transport: "webrtc",
},
},
}
```
For the Gateway-owned WebRTC path, select Gateway relay. It prefers the
OpenClaw ChatGPT OAuth profile and falls back to an enrolled Platform key
from `talk.realtime.providers.openai.apiKey`, an `openai` API-key profile,
or `OPENAI_API_KEY`:
```json5
{
talk: {
realtime: {
provider: "openai",
model: "gpt-live-1-codex",
transport: "gateway-relay",
},
},
}
```
Browser Talk uses `transport: "webrtc"`.
| Consumer | GPT-Live status |
| --- | --- |
| Browser Talk | Supported with client WebRTC and Gateway-owned sideband |
| Gateway-relay Talk | Supported with Gateway-owned WebRTC and sideband |
| Discord bidirectional voice | Supported with the Platform-key backend WebSocket |
| Voice Call and telephony | Supported with the Platform-key backend WebSocket |
| iOS client-owned Talk | Pending |
| Android realtime Talk | Pending an Android device live-proof flip; Android stays on native Talk |
<Warning>
Platform API-key access to `/v1/live` is waitlist-gated and commonly returns
`400 model_not_found` without enrollment. Use a ChatGPT OAuth profile, or request Platform access with the
[GPT-Live API access form](https://openai.com/form/gpt-live-1-in-the-api/).
</Warning>
A `403 Voice session access denied` response is overloaded and does not by
itself prove an account entitlement problem: an invalid voice produces the
same response. First verify the model and voice against the accepted lists
above, then verify that the selected ChatGPT OAuth profile and
`chatgpt-account-id` belong to the same account.
The Gateway-owned WebRTC route routes sideband delegations through the
configured OpenClaw agent and keeps OAuth or Platform credentials away from
relay clients. The direct WebSocket bridge enables Discord voice and Voice
Call/telephony with Platform auth; OpenClaw converts G.711 u-law telephony
audio to and from GPT-Live's 24 kHz PCM stream. Android's client-side gate
stays closed until the Gateway relay path has live proof from an Android
device.
The WebRTC path creates a call on `api.openai.com/v1/live` and joins its
sideband there. The backend path opens `/v1/live?model=...`, sends a
Frameless `session.update`, then carries PCM audio, transcripts,
delegations, and delegation results over that one socket. The legacy
`chatgpt.com` backend route returns `403` and is not used.
Maintainers can exercise OpenClaw's complete OAuth path with the opt-in
live test. It skips when no ChatGPT OAuth credential is available and
never prints token material:
```bash
OPENCLAW_LIVE_TEST=1 OPENCLAW_LIVE_GPT_LIVE=1 node --import tsx scripts/test-live.mts -- extensions/openai/realtime-quicksilver.live.test.ts
OPENCLAW_LIVE_TEST=1 OPENCLAW_LIVE_GPT_LIVE=1 node --import tsx scripts/test-live.mts -- extensions/openai/realtime-quicksilver-gateway-bridge.live.test.ts
```
<Note>
GA backend OpenAI realtime bridges use the Realtime WebSocket session
shape, which does not accept `session.temperature`; GPT-Live uses the
separate Frameless Bidi shape. Azure OpenAI
deployments remain available via `azureEndpoint` and `azureDeployment` and
keep the deployment-compatible session shape (including `temperature`).
Supports bidirectional tool calling and G.711 u-law audio.
</Note>
<Note>
Realtime voice is selected when the session is created. OpenAI allows most
session fields to change later, but the voice cannot be changed after the
model has emitted audio in that session. OpenClaw currently exposes the
built-in Realtime voice ids as strings.
</Note>
<Note>
Control UI Talk uses OpenAI browser WebRTC sessions. GA
`gpt-realtime-*` models use a Gateway-minted ephemeral client secret and a
direct browser SDP exchange when Platform credentials are available.
Configured realtime keys, API-key profiles, and `OPENAI_API_KEY` use that
path in that order. With no Platform credential, GA browser Talk uses the
same Gateway offer broker as GPT-Live so ChatGPT OAuth remains server-side.
GPT-Live prefers ChatGPT OAuth when both auth modes are configured and
falls back to Platform API-key access when the account has waitlist-gated
`/v1/live` access.
GA Gateway relay and Voice Call backend realtime WebSocket bridges require
Platform credentials. GPT-Live Gateway relay instead uses Gateway-owned
WebRTC, preferring ChatGPT OAuth and falling back to waitlist-enabled
Platform access; Voice Call GPT-Live uses the Platform-key backend WebSocket.
Maintainer live verification is available with
`OPENAI_API_KEY=... GEMINI_API_KEY=... node --import tsx scripts/dev/realtime-talk-live-smoke.ts`;
the OpenAI legs verify the backend WebSocket bridge, a synthesized PCM24
speech-to-response audio roundtrip, and the browser WebRTC SDP exchange
without logging secrets. Pass `--openai-only` to run those legs without
Google credentials. Use `--openai-audio-cycles 3` for a short repeated
connect, talkback, and close soak.
</Note>
Azure OpenAI endpoints
The bundled openai provider can target an Azure OpenAI resource for image
generation by overriding the base URL. On the image-generation path, OpenClaw
detects Azure hostnames on models.providers.openai.baseUrl and switches to
Azure's request shape automatically.
Use Azure OpenAI when:
- You already have an Azure OpenAI subscription, quota, or enterprise agreement
- You need regional data residency or compliance controls Azure provides
- You want to keep traffic inside an existing Azure tenancy
Configuration
For Azure image generation through the bundled openai provider, point
models.providers.openai.baseUrl at your Azure resource and set apiKey to
the Azure OpenAI key (not an OpenAI Platform key):
{
models: {
providers: {
openai: {
baseUrl: "https://<your-resource>.openai.azure.com",
apiKey: "<azure-openai-api-key>",
},
},
},
}
OpenClaw recognizes these Azure host suffixes for the Azure image-generation route:
*.openai.azure.com*.services.ai.azure.com*.cognitiveservices.azure.com
For image-generation requests on a recognized Azure host, OpenClaw:
- Sends the
api-keyheader instead ofAuthorization: Bearer - Uses deployment-scoped paths (
/openai/deployments/{deployment}/...) - Appends
?api-version=...to each request - Uses a 600s default request timeout for Azure image-generation calls.
Per-call
timeoutMsvalues still override this default.
Other base URLs (public OpenAI, OpenAI-compatible proxies) keep the standard OpenAI image request shape.
Azure routing for the `openai` provider's image-generation path requires OpenClaw 2026.4.22 or later. Earlier versions treat any custom `openai.baseUrl` like the public OpenAI endpoint and fail against Azure image deployments.API version
Set AZURE_OPENAI_API_VERSION to pin a specific Azure preview or GA version
for the Azure image-generation path:
export AZURE_OPENAI_API_VERSION="2024-12-01-preview"
The default is 2024-12-01-preview when the variable is unset.
Model names are deployment names
Azure OpenAI binds models to deployments. For Azure image-generation requests
routed through the bundled openai provider, the model field in OpenClaw
must be the Azure deployment name you configured in the Azure portal, not
the public OpenAI model id.
If you create a deployment called gpt-image-2-prod that serves gpt-image-2:
/tool image_generate model=openai/gpt-image-2-prod prompt="A clean poster" size=1024x1024 count=1
The same deployment-name rule applies to any image-generation call routed
through the bundled openai provider.
Regional availability
Azure image generation is currently available only in a subset of regions
(for example eastus2, swedencentral, polandcentral, westus3,
uaenorth). Check Microsoft's current region list before creating a
deployment, and confirm the specific model is offered in your region.
Parameter differences
Azure OpenAI and public OpenAI do not always accept the same image parameters.
Azure may reject options public OpenAI allows (for example certain
background values on gpt-image-2) or expose them only on specific model
versions. These differences come from Azure and the underlying model, not
OpenClaw. If an Azure request fails with a validation error, check the
parameter set supported by your specific deployment and API version in the
Azure portal.
For chat or Responses traffic on Azure (beyond image generation), use the
onboarding flow or a dedicated Azure provider config; openai.baseUrl alone
does not pick up the Azure API/auth shape. A separate
azure-openai-responses/* provider exists; see the Server-side compaction
accordion below.
Advanced configuration
The transport and serviceTier examples below are authored embedded-provider
request settings, so an otherwise eligible auto route stays on OpenClaw
instead of selecting Codex implicitly. Valid fastMode / fast_mode values
and valid cutoff keys are typed agent-runtime controls and do not select a
runtime. Runtime-specific examples therefore pin agentRuntime.id explicitly.
The native Codex app-server harness owns its own transport and request settings;
explicit agentRuntime.id: "codex" fails closed when the effective route is
not declared Codex-compatible.
| Value | Behavior |
| --------------------- | -------- |
| `"sse"` (default) | Stream each request over SSE |
| `"auto"` | Prefer a session-cached WebSocket, with pre-dispatch SSE fallback |
| `"websocket-cached"` | Explicitly use the session-cached WebSocket path, with the same pre-dispatch SSE fallback |
| `"websocket"` | Use a transient WebSocket for the request, with pre-dispatch SSE fallback |
Cached modes keep one eligible connection per session. When the prior
request and response still match the current history, OpenClaw sends only
the new input and references the prior response with
`previous_response_id`. Otherwise it sends full history without that
reference.
A setup or handshake failure before request dispatch falls back to SSE; it
is not retried or reconnected first. After dispatch, failures with an
unknown outcome remain replay-unsafe and fail closed. The explicit server
rejections `previous_response_not_found` and
`websocket_connection_limit_reached` are safe exceptions: OpenClaw closes
the failed socket and retries that turn once over SSE with full history and
no rejected `previous_response_id`.
```json5
{
agents: {
defaults: {
models: {
"openai/gpt-5.5": {
agentRuntime: { id: "openclaw" },
params: { transport: "auto" },
},
},
},
},
}
```
Related OpenAI docs:
- [Responses API WebSocket mode](https://developers.openai.com/api/docs/guides/websocket-mode)
- [Streaming API responses (SSE)](https://platform.openai.com/docs/guides/streaming-responses)
OpenClaw exposes a shared fast-mode toggle for `openai/*`:
- **Chat/UI:** `/fast status|auto|on|off`
- **Config:** `agents.defaults.models["<provider>/<model>"].params.fastMode`
Valid `params.fastMode` / `params.fast_mode` values and valid cutoff keys
are typed runtime controls. They do not count as authored provider request
params and do not select OpenClaw or Codex. The example below pins embedded
OpenClaw because it describes a direct provider request.
When enabled on the embedded runtime, OpenClaw maps fast mode to OpenAI API
Fast mode (formerly Priority processing) and currently sends
`service_tier = "priority"`. Fast mode does not rewrite `reasoning` or
`text.verbosity`. `fastMode: "auto"` starts new model calls fast until the
auto cutoff, then starts later retry, fallback, tool-result, or continuation
calls without fast mode. The cutoff defaults to 60 seconds; set
`params.fastAutoOnSeconds` on the active model to change it.
```json5
{
agents: {
defaults: {
models: {
"openai/gpt-5.5": {
agentRuntime: { id: "openclaw" },
params: { fastMode: "auto", fastAutoOnSeconds: 30 },
},
},
},
},
}
```
<Note>
The full precedence is inline message, stored session, per-agent default,
global default, per-model `params.fastMode`, then off. `/fast default`
clears only the session layer. `/status` reports the resolved OpenClaw
policy and runtime, not the upstream service tier actually honored or
returned. See [Thinking levels](/tools/thinking#fast-mode-%2Ffast) and
[Codex harness](/plugins/codex-harness#shared-fast-mode-and-codex-fast-mode).
</Note>
Fast mode is premium-priced and model-specific. GPT-5.6 Sol API Fast mode
currently costs 2× Standard token pricing, with long-context multipliers
stacking as described above. ChatGPT/Codex-credit Fast mode is a separate
billing system: GPT-5.6 and GPT-5.5 currently consume 2.5× Standard credits,
while API-key Codex runs use API token pricing. See
[Fast mode](https://openai.com/api-priority-processing/),
[API pricing](https://developers.openai.com/api/docs/pricing), and
[Codex speed](https://learn.chatgpt.com/docs/agent-configuration/speed).
OpenAI now calls this API product Fast mode; it was formerly Priority
processing. OpenClaw currently sends the wire value
`service_tier = "priority"`. Set an explicit tier per
model on the embedded OpenClaw runtime:
```json5
{
agents: {
defaults: {
models: {
"openai/gpt-5.5": {
agentRuntime: { id: "openclaw" },
params: { serviceTier: "priority" },
},
},
},
},
}
```
Supported values: `auto`, `default`, `flex`, `priority`.
<Warning>
`params.serviceTier` is an authored embedded-provider setting, not native
Codex app-server configuration. It is forwarded only by the embedded
runtime to native OpenAI endpoints (`api.openai.com`) and native ChatGPT
endpoints (`chatgpt.com/backend-api`). If you route either provider through
a proxy, OpenClaw leaves `service_tier` untouched. Configure the native
harness separately with `plugins.entries.codex.config.appServer.serviceTier`;
the shared Fast-mode run control can supersede that value.
</Warning>
For direct OpenAI Responses models (`openai/*` on `api.openai.com`), the
OpenAI plugin's OpenClaw stream wrapper auto-enables server-side
compaction:
- Forces `store: true` (unless model compat sets `supportsStore: false`)
- Injects `context_management: [{ type: "compaction", compact_threshold: ... }]`
- Default `compact_threshold`: 70% of `contextWindow` (or `80000` when
unavailable)
This applies to the built-in OpenClaw runtime path and to OpenAI provider
hooks used by embedded runs. The native Codex app-server harness manages
its own context through Codex and is not affected by this setting.
OpenAI emits the compacted state as an encrypted `compaction` output item.
Keep that item opaque. For stateless continuation, carry the newest item
forward and drop the earlier input prefix it replaces. OpenClaw does this
automatically: it persists and replays the item only for the matching
route, session, and auth identity, preserves it across worker transcript
commits, and filters it from user-visible history and diagnostics. Never
display or log the encrypted content.
<Tabs>
<Tab title="Enable explicitly">
Useful for compatible endpoints like Azure OpenAI Responses:
```json5
{
agents: {
defaults: {
models: {
"azure-openai-responses/gpt-5.5": {
params: { responsesServerCompaction: true },
},
},
},
},
}
```
</Tab>
<Tab title="Custom threshold">
```json5
{
agents: {
defaults: {
models: {
"openai/gpt-5.5": {
params: {
responsesServerCompaction: true,
responsesCompactThreshold: 120000,
},
},
},
},
},
}
```
</Tab>
<Tab title="Disable">
```json5
{
agents: {
defaults: {
models: {
"openai/gpt-5.5": {
params: { responsesServerCompaction: false },
},
},
},
},
}
```
</Tab>
</Tabs>
<Note>
`responsesServerCompaction` only controls `context_management` injection.
Direct OpenAI Responses models still force `store: true` unless compat
sets `supportsStore: false`.
</Note>
For `openai` provider GPT-5-family models run through OpenClaw's embedded
runtime, OpenClaw already defaults to a stricter execution contract called
`strict-agentic`. It auto-activates whenever the resolved provider is
`openai` and the model id matches the GPT-5 family, unless config
explicitly opts back out:
```json5
{
agents: {
defaults: {
embeddedAgent: { executionContract: "default" },
},
},
}
```
Setting `"strict-agentic"` explicitly is a no-op on a supported lane (it
is already the default) and inert on unsupported provider/model pairs.
With `strict-agentic` active, OpenClaw:
- Auto-enables `update_plan` for substantial work
- Retries structurally empty or reasoning-only turns with a visible-answer
continuation
- Uses explicit harness plan events when the selected harness provides
them
OpenClaw does not classify assistant prose to decide whether a turn is a
plan, progress update, or final answer.
<Note>
This contract lives entirely in OpenClaw's embedded agent runner. It does
not apply to the native Codex app-server harness, which manages its own
turn and plan behavior; the harness selection matters more than the
execution-contract setting for native Codex runs.
</Note>
OpenClaw treats direct OpenAI, Codex, and Azure OpenAI endpoints
differently from generic OpenAI-compatible `/v1` proxies:
**Native routes** (`openai/*`, Azure OpenAI):
- Keep `reasoning: { effort: "none" }` only for models that support the
OpenAI `none` effort
- Omit disabled reasoning for models or proxies that reject
`reasoning.effort: "none"`
- Default tool schemas to strict mode
- Attach hidden attribution headers on verified native hosts only (Azure
OpenAI does not get these headers, even though it is a native route)
- Keep OpenAI-only request shaping (`service_tier`, `store`,
reasoning-compat, prompt-cache hints)
**Proxy/compatible routes:**
- Use looser compat behavior
- Strip Completions `store` from non-native `openai-completions` payloads
- Accept advanced `params.extra_body`/`params.extraBody` pass-through JSON
for OpenAI-compatible Completions proxies
- Accept `params.chat_template_kwargs` for OpenAI-compatible Completions
proxies such as vLLM
- Do not force strict tool schemas or native-only headers