4.9 KiB
4.9 KiB
Codex Auth Spine Inventory
This is the keeper list for the vestigial Codex organ. Anything not justified here is suspect until proven otherwise.
Live Spine
Inputs
- User authentication material from Codex auth storage or an external auth provider.
- Model/provider configuration from Codex config and model provider metadata.
- Per-turn model request data: prompt instructions, formatted input, tools, output schema, reasoning controls, service tier, and model metadata.
- Session identity: conversation/thread id, installation id, window id, session source, optional turn metadata, and optional parent/subagent headers.
Durable Stores
- Codex auth storage under the configured Codex home, loaded by
vendor/codex/codex-rs/login/src/auth/manager.rs. - Auth token state in
CodexAuth/ChatgptAuthState, including refreshable ChatGPT tokens and account metadata. - Model cache managed by
vendor/codex/codex-rs/models-manager/src/manager.rs. - Session-scoped model transport state inside
vendor/codex/codex-rs/core/src/client.rs: provider, auth environment telemetry, conversation id, websocket fallback state, and cached websocket session.
Transformations
codex-loginloads auth, refreshes ChatGPT access tokens, preserves account metadata, and exposesCodexAuth.codex-model-providerconvertsCodexAuthplus provider config into a bearer auth provider and API provider.models-manageruses provider auth to fetch/models, cache the catalog, and choose default/model metadata.codex-core::clientbuilds Responses API requests from typed prompt/model structures, adds Codex/OpenAI identity headers, chooses HTTP or websocket transport, streams response events, and handles auth/error/rate-limit telemetry.
Outputs
- Bearer-authenticated OpenAI/ChatGPT-compatible model calls.
- Streaming model response events.
- Compaction/memory/realtime model helper calls that use the same provider setup.
- Model catalog and model metadata.
- Auth and transport telemetry/errors needed to recover or report failure.
Keep
login/src/auth/manager.rs: keep as the initial credential compatibility organ. It knows ChatGPT/API-key/agent/external auth modes, refresh semantics, token storage, and account metadata. Long term, wrap it behind an EpiphanyOpenAIAuthAdapterinstead of letting the rest of Epiphany import it.model-provider/src/auth.rsandmodel-provider/src/provider.rs: keep as the provider auth resolver. This is the narrow bridge from Codex auth state to API bearer auth.core/src/client.rs: keep only the model transport subset: provider setup, Responses request construction, HTTP/websocket streaming, identity headers, and auth recovery telemetry. It is too entangled to delete before a native Epiphany model adapter exists.models-manager/src/manager.rs: keep narrowly for model catalog refresh, default model selection, and auth-mode filtering until Epiphany has its own typed model catalog document.
Cut Or Seal
- Codex app-server routing is not part of auth/model transport. It can host compatibility wrappers while Aquarium/CLI still speak JSON-RPC, but it must not be the native Epiphany operator surface.
- Codex apps, skills, marketplace, plugin UX, and MCP OAuth handlers are not required for OpenAI subscription compatibility. MCP may survive as a separate CultNet adapter, not as a reason to keep the Codex app-server brain.
codex-core::clienthelper calls for memories/realtime/compaction are suspicious unless Epiphany deliberately needs that OpenAI endpoint. Keep them sealed with the transport until the native adapter split can decide.models-managercollaboration mode surfaces are not part of the auth spine. Model catalog yes; collaboration-mode presets no.
Extract Target
Create an outside-vendor adapter with this shape:
EpiphanyOpenAIAuthAdapter
-> load/refresh credentials
-> expose account/auth mode/model availability
EpiphanyOpenAIModelTransport
-> accept typed Epiphany model-turn request
-> call OpenAI Responses API through Codex-compatible auth
-> emit typed stream events / receipts
The adapter may depend on codex-login, codex-model-provider,
codex-model-provider-info, codex-api, and the narrow model-transport pieces
of codex-core. It must not depend on codex-app-server,
codex_message_processor, plugin/app/skill/marketplace modules, or Epiphany
state ownership.
Next Cut
Define the first epiphany-openai-adapter crate boundary as a wrapper, not a
rewrite:
- input: typed model-turn request plus adapter config
- output: typed stream events and terminal usage/error receipt
- internal dependency: Codex auth/model transport only
- forbidden dependency: Codex app-server or Epiphany JSON-RPC routes
The first implementation can be a thin wrapper around existing Codex transport. The point is ownership: Epiphany calls a model adapter; it does not live inside the Codex host brain.