49 Commits

• [codex] Add comp_hash to model metadata (#27532)

  ## Summary
  - add optional `comp_hash` metadata to `ModelInfo`
  - update `ModelInfo` fixtures for the shared schema change
  - keep older model responses compatible by defaulting the field to
  `None`
  
  ## Why
  The models endpoint needs an opaque identifier for compaction-compatible
  model configurations. This PR only exposes that value in model metadata;
  it does not add it to turn context or change runtime behavior.
  
  Follow-up #27520 carries the value through turn context and rollouts,
  then uses it to trigger compaction.
  
  ## Stack
  - based directly on `main`
  - replaces #27519, which was accidentally merged into the wrong base
  branch
  - functionality follow-up: #27520
  
  ## Testing
  - `just test -p codex-protocol
  model_info_defaults_availability_nux_to_none_when_omitted`
  - `just fix -p codex-core -p codex-protocol -p codex-analytics -p
  codex-models-manager`

  Ahmed Ibrahim · 2026-06-10 20:42:55 -07:00
  e614fad02e
• [codex] Add use_responses_lite 'override' logic (#26487)

  ## Summary
  
  - add a defaulted `ModelInfo.use_responses_lite` catalog field
  - support serializing `reasoning.context` while preserving the existing
  effort and summary path
  - has not been turned on for any models yet
  
  I've added an override to parallel tools if responses_lite is on. I've
  also forced persistent reasoning when using responses_lite. It would be
  ideal if we could centralize all the responses_lite plumbing, but I
  think this is best for now to keep the plumbing & diffs small.
  
  ## Testing
  
  - `cargo test -p codex-protocol
  model_info_defaults_availability_nux_to_none_when_omitted`
  - `RUST_MIN_STACK=8388608 cargo test -p codex-core
  responses_lite_sets_all_turns_context_and_disables_parallel_tool_calls`
  - `RUST_MIN_STACK=8388608 cargo test -p codex-core
  configured_reasoning_summary_is_sent`
  - `cargo check -p codex-core --tests`
  - `RUST_MIN_STACK=8388608 cargo clippy -p codex-core --tests` (passes
  with pre-existing warnings in `codex-code-mode` and
  `codex-core-plugins`)

  rka-oai · 2026-06-04 18:49:51 -07:00
  e0096db6dc
• [codex] Use model-advertised reasoning effort order (#26446)

  ## Summary
  - preserve the model catalog order for app-server
  `supportedReasoningEfforts` and document that client contract
  - render TUI reasoning choices in the advertised order
  - step reasoning shortcuts by adjacent list position instead of deriving
  order from known effort names
  - anchor unsupported configured values to the advertised default, or the
  first option when needed
  - remove canonical effort ordering helpers and the unused upgrade effort
  mapping
  
  ## Validation
  - `just fmt`
  - Local tests and compilation were not run per request; relying on CI.
  
  Stacked on #26444.

  Ahmed Ibrahim · 2026-06-04 14:01:14 -07:00
  f6e529656f
• [codex] Support model-defined reasoning efforts (#26444)

  ## Summary
  - accept non-empty model-defined reasoning effort values while
  preserving built-in effort behavior
  - propagate the non-Copy effort type through core, app-server, TUI,
  telemetry, and persistence call sites
  - preserve string wire encoding and expose an open-string schema for
  clients
  - update model selection and shortcut behavior for model-advertised
  effort values
  
  ## Root cause
  `ReasoningEffort` gained a string-backed custom variant, so it could no
  longer implement `Copy` or rely on derived closed-enum serialization.
  Existing consumers still moved effort values from shared references and
  assumed a fixed built-in value set.
  
  ## Validation
  - `just fmt`
  - Local tests and compilation were not run per request; relying on CI.

  Ahmed Ibrahim · 2026-06-04 13:36:24 -07:00
  8ac304c299
• Add multi-agent runtime metadata types (#25720)

  Stack split from #25708. Original PR intentionally left open. This first
  PR adds the multi-agent runtime metadata types and catalog plumbing used
  by the rest of the stack.

  jif-oai · 2026-06-02 12:10:14 +02:00
  3f1fb7ed8b
• [codex-rs] auto-review model override (#23767)

  ## Why
  
  Guardian auto-review normally uses the provider-preferred review model
  when one is available. Some parent models need model-catalog metadata to
  select a different review model while keeping older `/models` payloads
  compatible when that metadata is absent.
  
  ## What changed
  
  - Added optional `ModelInfo::auto_review_model_override` metadata to the
  public model payload as a review-model slug.
  - Updated Guardian review model selection to prefer the catalog override
  when present, while preserving the existing provider preferred-model
  path and parent-model fallback when it is omitted.
  - Added focused Guardian coverage for override and no-override model
  selection.
  - Added an `auto_review` core integration suite test that loads override
  metadata from a remote model catalog path and asserts the strict
  auto-review `/responses` request uses the catalog-selected review model.
  - Updated existing `ModelInfo` fixtures and local catalog constructors
  for the new optional field.
  
  ## Validation
  
  - `cargo test -p codex-protocol
  model_info_defaults_availability_nux_to_none_when_omitted`
  - `cargo test -p codex-core guardian_review_uses_`
  - `cargo test -p codex-core
  remote_model_override_uses_catalog_model_for_strict_auto_review --test
  all`
  - `just fix -p codex-protocol`
  - `just fix -p codex-core`
  - `just fmt`
  - `git diff --check`

  Won Park · 2026-06-01 11:51:15 -07:00
  f1609d9fb6
• [codex] Add model tool mode selector (#25031)

  ## Why
  Some models need to select their code-execution behavior through model
  catalog metadata. Models without that metadata must continue to follow
  the existing `CodeMode` and `CodeModeOnly` feature flags, including when
  a newer server sends an enum value this client does not recognize.
  
  ## What changed
  - add optional `ModelInfo.tool_mode` metadata with `direct`,
  `code_mode`, and `code_mode_only`
  - treat omitted and unknown wire values as `None`
  - resolve `None` from the existing feature flags
  - carry the resolved `ToolMode` directly on `TurnContext`, outside
  `Config`
  - use the resolved value for turn creation, model switches, review
  turns, tool planning, and code execution
  
  ## Coverage
  - add protocol coverage for omitted, known, and unknown enum values
  - add focused coverage for flag fallback and explicit metadata
  overriding feature flags
  - add core integration coverage that fetches remote model metadata
  through `/v1/models` and verifies the outbound `/responses` tools for
  explicit `direct` and `code_mode_only` selectors
  
  ## Stack
  - followed by #25032

  Ahmed Ibrahim · 2026-05-29 09:05:05 -07:00
  5577a9e148
• Honor client-resolved service tier defaults (#23537)

  ## Why
  
  Model catalog responses can now advertise a nullable
  `default_service_tier` for each model. Codex needs to preserve three
  distinct states all the way from config/app-server inputs to inference:
  
  - no explicit service tier, so the client may apply the current model
  catalog default when FastMode is enabled
  - explicit `default`, meaning the user intentionally wants standard
  routing
  - explicit catalog tier ids such as `priority`, `flex`, or future tiers
  
  Keeping those states distinct prevents the UI from showing one tier
  while core sends another, especially after model switches or app-server
  `thread/start` / `turn/start` updates.
  
  ## What Changed
  
  - Plumbed `default_service_tier` through model catalog protocol types,
  app-server model responses, generated schemas, model cache fixtures, and
  provider/model-manager conversions.
  - Added the request-only `default` service tier sentinel and normalized
  legacy config spelling so `fast` in `config.toml` still materializes as
  the runtime/request id `priority`.
  - Moved catalog default resolution to the TUI/client side, including
  recomputing the effective service tier when model/FastMode-dependent
  surfaces change.
  - Updated app-server thread lifecycle config construction so
  `serviceTier: null` preserves explicit standard-routing intent by
  mapping to `default` instead of internal `None`.
  - Kept core responsible for validating explicit tiers against the
  current model and stripping `default` before `/v1/responses`, without
  applying catalog defaults itself.
  
  ## Validation
  
  - `CARGO_INCREMENTAL=0 cargo build -p codex-cli`
  - `CARGO_INCREMENTAL=0 cargo test -p codex-app-server model_list`
  - `cargo test -p codex-tui service_tier`
  - `cargo test -p codex-protocol service_tier_for_request`
  - `cargo test -p codex-core get_service_tier`
  - `RUST_MIN_STACK=8388608 CARGO_INCREMENTAL=0 cargo test -p codex-core
  service_tier`

  Shijie Rao · 2026-05-20 15:57:50 -07:00
  370b13afc9
• [codex] Delete function-style apply_patch (#21651)

  ## Why
  
  `apply_patch` is now a freeform/custom tool. Keeping the old
  JSON/function-style registration and parsing path left another way for
  models and tests to invoke `apply_patch`, which made the tool surface
  harder to reason about.
  
  ## What changed
  
  - Removed the `ApplyPatchToolType::Function` variant, JSON `apply_patch`
  spec, and handler support for function payloads.
  - Kept `apply_patch_tool_type = freeform` as the supported model
  metadata path, including Bedrock catalog metadata.
  - Migrated `apply_patch` tests and SSE fixtures to custom/freeform tool
  calls.
  
  ## Verification
  
  - `cargo test -p codex-tools -p codex-protocol -p codex-model-provider`
  - `cargo test -p codex-core tools::handlers::apply_patch --lib`
  - `cargo test -p codex-core --test all
  apply_patch_tool_executes_and_emits_patch_events`
  - `cargo test -p codex-core --test all
  apply_patch_reports_parse_diagnostics`
  - `cargo test -p codex-exec test_apply_patch_tool`
  - `just fix -p codex-core`
  - `just fix -p codex-tools -p codex-protocol -p codex-model-provider -p
  codex-exec`

  pakrym-oai · 2026-05-08 13:00:57 -07:00
  e783341b70
• [codex] Generalize service tier slash commands (#21745)

  ## Why
  
  `/fast` was wired as a one-off slash command even though model metadata
  now exposes service tiers as catalog data. That meant adding another
  tier, such as a slower/cheaper tier, would require more hardcoded TUI
  plumbing instead of letting the model catalog drive the available
  commands.
  
  This change makes service-tier commands data-driven: each advertised
  `service_tiers` entry becomes a `/name` command using the catalog
  description, while the request path sends the tier `id` only when the
  selected model supports it.
  
  ## What Changed
  
  - Removed the hardcoded `/fast` slash-command variant and introduced
  dynamic service-tier command items in the composer and command popup.
  - Added toggle behavior for service-tier commands: invoking `/name`
  selects that tier, and invoking it again clears the selection.
  - Preserved the existing Fast-mode keybinding/status affordances by
  resolving the current model tier whose name is `fast`, while still
  sending the tier request value such as `priority`.
  - Persisted service-tier selections as raw request strings so non-fast
  tiers can round-trip through config.
  - Updated the Bedrock catalog entry to advertise fast support through
  `service_tiers` with `id: "priority"` and `name: "fast"`.
  - Added defensive filtering in core so unsupported selected service
  tiers are omitted from `/responses` requests.
  
  ## Validation
  
  - Added/updated coverage for dynamic service-tier slash command lookup,
  popup descriptions, composer dispatch, TUI fast toggling, and
  unsupported-tier omission in core request construction.
  - Local tests were not run per request.
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  Ahmed Ibrahim · 2026-05-08 20:09:51 +03:00
  7c0e54bf59
• 1- Add model service tiers metadata (#20969)

  ## Why
  
  The model list needs to carry display-ready service tier metadata so
  clients can render tier choices with stable IDs, names, and
  descriptions. A raw speed-tier string list is not enough for richer UI
  copy or future tier labels.
  
  ## What changed
  
  - Added `ModelServiceTier` to shared model metadata with string `id`,
  `name`, and `description` fields.
  - Added `service_tiers` to `ModelInfo` and `ModelPreset`, preserving
  empty defaults for older cached model payloads.
  - Exposed `serviceTiers` on app-server v2 `Model` responses and threaded
  it through TUI app-server model conversion.
  - Marked legacy `additional_speed_tiers` / `additionalSpeedTiers`
  metadata as deprecated in source and generated schema output.
  - Regenerated app-server protocol JSON schema and TypeScript fixtures,
  including `ModelServiceTier.ts`.
  
  ## Verification
  
  - Ran `just write-app-server-schema`.
  - Did not run local tests per repo instruction; relying on PR CI.
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  Ahmed Ibrahim · 2026-05-05 09:51:18 +03:00
  9d579813bb
• Add max context window model metadata (#18382)

  Adds max_context_window to model metadata and routes core context-window
  reads through resolved model info. Config model_context_window overrides
  are clamped to max_context_window when present; without an override, the
  model context_window is used.

  Ahmed Ibrahim · 2026-04-17 21:48:14 -07:00
  5bb193aa88
• Use model metadata for Fast Mode status (#16949)

  Fast Mode status was still tied to one model name in the TUI and
  model-list plumbing. This changes the model metadata shape so a model
  can advertise additional speed tiers, carries that field through the
  app-server model list, and uses it to decide when to show Fast Mode
  status.
  
  For people using Codex, the behavior is intended to stay the same for
  existing models. Fast Mode still requires the existing signed-in /
  feature-gated path; the difference is that the UI can now recognize any
  model the model list marks as Fast-capable, instead of requiring a new
  client-side slug check.

  pash-openai · 2026-04-07 17:55:40 -07:00
  80ebc80be5
• chore: clean up argument-comment lint and roll out all-target CI on macOS (#16054)

  ## Why
  
  `argument-comment-lint` was green in CI even though the repo still had
  many uncommented literal arguments. The main gap was target coverage:
  the repo wrapper did not force Cargo to inspect test-only call sites, so
  examples like the `latest_session_lookup_params(true, ...)` tests in
  `codex-rs/tui_app_server/src/lib.rs` never entered the blocking CI path.
  
  This change cleans up the existing backlog, makes the default repo lint
  path cover all Cargo targets, and starts rolling that stricter CI
  enforcement out on the platform where it is currently validated.
  
  ## What changed
  
  - mechanically fixed existing `argument-comment-lint` violations across
  the `codex-rs` workspace, including tests, examples, and benches
  - updated `tools/argument-comment-lint/run-prebuilt-linter.sh` and
  `tools/argument-comment-lint/run.sh` so non-`--fix` runs default to
  `--all-targets` unless the caller explicitly narrows the target set
  - fixed both wrappers so forwarded cargo arguments after `--` are
  preserved with a single separator
  - documented the new default behavior in
  `tools/argument-comment-lint/README.md`
  - updated `rust-ci` so the macOS lint lane keeps the plain wrapper
  invocation and therefore enforces `--all-targets`, while Linux and
  Windows temporarily pass `-- --lib --bins`
  
  That temporary CI split keeps the stricter all-targets check where it is
  already cleaned up, while leaving room to finish the remaining Linux-
  and Windows-specific target-gated cleanup before enabling
  `--all-targets` on those runners. The Linux and Windows failures on the
  intermediate revision were caused by the wrapper forwarding bug, not by
  additional lint findings in those lanes.
  
  ## Validation
  
  - `bash -n tools/argument-comment-lint/run.sh`
  - `bash -n tools/argument-comment-lint/run-prebuilt-linter.sh`
  - shell-level wrapper forwarding check for `-- --lib --bins`
  - shell-level wrapper forwarding check for `-- --tests`
  - `just argument-comment-lint`
  - `cargo test` in `tools/argument-comment-lint`
  - `cargo test -p codex-terminal-detection`
  
  ## Follow-up
  
  - Clean up remaining Linux-only target-gated callsites, then switch the
  Linux lint lane back to the plain wrapper invocation.
  - Clean up remaining Windows-only target-gated callsites, then switch
  the Windows lint lane back to the plain wrapper invocation.

  Michael Bolin · 2026-03-27 19:00:44 -07:00
  61dfe0b86c
• Prefer websockets when providers support them (#13592)

  Remove all flags and model settings.
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  pakrym-oai · 2026-03-17 19:46:44 -07:00
  770616414a
• Feat: CXA-1831 Persist latest model and reasoning effort in sqlite (#14859)

  ### Summary
  The goal is for us to get the latest turn model and reasoning effort on
  thread/resume is no override is provided on the thread/resume func call.
  This is the part 1 which we write the model and reasoning effort for a
  thread to the sqlite db and there will be a followup PR to consume the
  two new fields on thread/resume.
  
  [part 2 PR is currently WIP](https://github.com/openai/codex/pull/14888)
  and this one can be merged independently.

  Shijie Rao · 2026-03-17 10:14:34 -07:00
  8e258eb3f5
• feat(search_tool): gate search_tool on model supports_search_tool field (#14502)
  Anton Panasenko · 2026-03-12 16:03:50 -07:00
  651717323c
• chore: add web_search_tool_type for image support (#13538)

  add `web_search_tool_type` on model_info that can be populated from
  backend. will be used to filter which models can use `web_search` with
  images and which cant.
  
  added small unit test.

  sayan-oai · 2026-03-05 07:02:27 +00:00
  03d55f0e6f
• image-gen-core (#13290)

  Core tool-calling for image-gen, handles requesting and receiving logic
  for images using response API

  Won Park · 2026-03-03 23:11:28 -08:00
  fa2306b303
• Add under-development original-resolution view_image support (#13050)

  ## Summary
  
  Add original-resolution support for `view_image` behind the
  under-development `view_image_original_resolution` feature flag.
  
  When the flag is enabled and the target model is `gpt-5.3-codex` or
  newer, `view_image` now preserves original PNG/JPEG/WebP bytes and sends
  `detail: "original"` to the Responses API instead of using the legacy
  resize/compress path.
  
  ## What changed
  
  - Added `view_image_original_resolution` as an under-development feature
  flag.
  - Added `ImageDetail` to the protocol models and support for serializing
  `detail: "original"` on tool-returned images.
  - Added `PromptImageMode::Original` to `codex-utils-image`.
    - Preserves original PNG/JPEG/WebP bytes.
    - Keeps legacy behavior for the resize path.
  - Updated `view_image` to:
  - use the shared `local_image_content_items_with_label_number(...)`
  helper in both code paths
    - select original-resolution mode only when:
      - the feature flag is enabled, and
      - the model slug parses as `gpt-5.3-codex` or newer
  - Kept local user image attachments on the existing resize path; this
  change is specific to `view_image`.
  - Updated history/image accounting so only `detail: "original"` images
  use the docs-based GPT-5 image cost calculation; legacy images still use
  the old fixed estimate.
  - Added JS REPL guidance, gated on the same feature flag, to prefer JPEG
  at 85% quality unless lossless is required, while still allowing other
  formats when explicitly requested.
  - Updated tests and helper code that construct
  `FunctionCallOutputContentItem::InputImage` to carry the new `detail`
  field.
  
  ## Behavior
  
  ### Feature off
  - `view_image` keeps the existing resize/re-encode behavior.
  - History estimation keeps the existing fixed-cost heuristic.
  
  ### Feature on + `gpt-5.3-codex+`
  - `view_image` sends original-resolution images with `detail:
  "original"`.
  - PNG/JPEG/WebP source bytes are preserved when possible.
  - History estimation uses the GPT-5 docs-based image-cost calculation
  for those `detail: "original"` images.
  
  
  #### [git stack](https://github.com/magus/git-stack-cli)
  - 👉 `1` https://github.com/openai/codex/pull/13050
  - ⏳ `2` https://github.com/openai/codex/pull/13331
  - ⏳ `3` https://github.com/openai/codex/pull/13049

  Curtis 'Fjord' Hawthorne · 2026-03-03 15:56:54 -08:00
  b92146d48b
• Add model availability NUX metadata (#12972)

  - replace show_nux with structured availability_nux model metadata
  - expose availability NUX data through the app-server model API
  - update shared fixtures and tests for the new field

  Ahmed Ibrahim · 2026-02-26 22:02:57 -08:00
  4d180ae428
• Use model catalog default for reasoning summary fallback (#12873)

  ## Summary
  - make `Config.model_reasoning_summary` optional so unset means use
  model default
  - resolve the optional config value to a concrete summary when building
  `TurnContext`
  - add protocol support for `default_reasoning_summary` in model metadata
  
  ## Validation
  - `cargo test -p codex-core --lib client::tests -- --nocapture`
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  pakrym-oai · 2026-02-26 09:31:13 -08:00
  ba41e84a50
• chore: rm hardcoded PRESETS list (#12650)

  rm `PRESETS` list harcoded in `model_presets` as we now have bundled
  `models.json` with equivalent info.
  
  update logic to rely on bundled models instead, update tests.

  sayan-oai · 2026-02-23 22:35:51 -08:00
  7e46e5b9c2
• fix: show user warning when using default fallback metadata (#11690)

  ### What
  It's currently unclear when the harness falls back to the default,
  generic `ModelInfo`. This happens when the `remote_models` feature is
  disabled or the model is truly unknown, and can lead to bad performance
  and issues in the harness.
  
  Add a user-facing warning when this happens so they are aware when their
  setup is broken.
  
  ### Tests
  Added tests, tested locally.

  sayan-oai · 2026-02-15 18:46:05 -08:00
  060a320e7d
• Clamp auto-compact limit to context window (#11516)

  - Clamp auto-compaction to the minimum of configured limit and 90% of
  context window
  - Add an e2e compact test for clamped behavior
  - Update remote compact tests to account for earlier auto-compaction in
  setup turns

  Ahmed Ibrahim · 2026-02-11 17:41:08 -08:00
  40de788c4d
• Prefer websocket transport when model opts in (#11386)

  Summary
  - add a `prefer_websockets` field to `ModelInfo`, defaulting to `false`
  in all fixtures and constructors
  - wire the new flag into websocket selection so models that opt in
  always use websocket transport even when the feature gate is off
  
  Testing
  - Not run (not requested)

  pakrym-oai · 2026-02-10 18:50:48 -08:00
  c68999ee6d
• add none personality option (#10688)

  - add none personality enum value and empty placeholder behavior\n- add
  docs/schema updates and e2e coverage

  Ahmed Ibrahim · 2026-02-04 15:40:33 -08:00
  f9c38f531c
• [Codex][CLI] Gate image inputs by model modalities (#10271)

  ###### Summary
  
  - Add input_modalities to model metadata so clients can determine
  supported input types.
  - Gate image paste/attach in TUI when the selected model does not
  support images.
  - Block submits that include images for unsupported models and show a
  clear warning.
  - Propagate modality metadata through app-server protocol/model-list
  responses.
    - Update related tests/fixtures.
  
    ###### Rationale
  
    - Models support different input modalities.
  - Clients need an explicit capability signal to prevent unsupported
  requests.
  - Backward-compatible defaults preserve existing behavior when modality
  metadata is absent.
  
    ###### Scope
  
    - codex-rs/protocol, codex-rs/core, codex-rs/tui
    - codex-rs/app-server-protocol, codex-rs/app-server
    - Generated app-server types / schema fixtures
  
    ###### Trade-offs
  
  - Default behavior assumes text + image when field is absent for
  compatibility.
    - Server-side validation remains the source of truth.
  
    ###### Follow-up
  
  - Non-TUI clients should consume input_modalities to disable unsupported
  attachments.
  - Model catalogs should explicitly set input_modalities for text-only
  models.
  
    ###### Testing
  
    - cargo fmt --all
    - cargo test -p codex-tui
    - env -u GITHUB_APP_KEY cargo test -p codex-core --lib
    - just write-app-server-schema
  - cargo run -p codex-cli --bin codex -- app-server generate-ts --out
  app-server-types
    - test against local backend
    
  <img width="695" height="199" alt="image"
  src="https://github.com/user-attachments/assets/d22dd04f-5eba-4db9-a7c5-a2506f60ec44"
  />
  
  ---------
  
  Co-authored-by: Josh McKinney <joshka@openai.com>

  Colin Young · 2026-02-02 18:56:39 -08:00
  7e07ec8f73
• chore(personality) new schema with fallbacks (#10147)

  ## Summary
  Let's dial in this api contract in a bit more with more robust fallback
  behavior when model_instructions_template is false.
  
  Switches to a more explicit template / variables structure, with more
  fallbacks.
  
  ## Testing
  - [x] Adding unit tests
  - [x] Tested locally

  Dylan Hurd · 2026-01-30 00:10:12 -07:00
  e3ab0bd973
• feat(tui) /personality (#9718)

  ## Summary
  Adds /personality selector in the TUI, which leverages the new core
  interface in #9644
  
  Notes:
  - We are doing some of our own state management for model_info loading
  here, but not sure if that's ideal. open to opinions on simpler
  approach, but would like to avoid blocking on a larger refactor
  - Right now, the `/personality` selector just hides when the model
  doesn't support it. we can update this behavior down the line
  
  ## Testing
  - [x] Tested locally
  - [x] Added snapshot tests

  Dylan Hurd · 2026-01-25 21:59:42 -08:00
  031bafd1fb
• feat(core) ModelInfo.model_instructions_template (#9597)

  ## Summary
  #9555 is the start of a rename, so I'm starting to standardize here.
  Sets up `model_instructions` templating with a strongly-typed object for
  injecting a personality block into the model instructions.
  
  ## Testing
  - [x] Added tests
  - [x] Ran locally

  Dylan Hurd · 2026-01-21 18:11:18 -08:00
  96a72828be
• Add migration_markdown in model_info (#9219)

  Next step would be to clean Model Upgrade in model presets
  
  ---------
  
  Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
  Co-authored-by: aibrahim-oai <219906144+aibrahim-oai@users.noreply.github.com>

  Ahmed Ibrahim · 2026-01-15 01:55:22 +00:00
  a09711332a
• clean models manager (#9168)

  Have only the following Methods:
  - `list_models`: getting current available models
  - `try_list_models`: sync version no refresh for tui use
  - `get_default_model`: get the default model (should be tightened to
  core and received on session configuration)
  - `get_model_info`: get `ModelInfo` for a specific model (should be
  tightened to core but used in tests)
  - `refresh_if_new_etag`: trigger refresh on different etags
  
  Also move the cache to its own struct

  Ahmed Ibrahim · 2026-01-13 16:55:33 -08:00
  7e33ac7eb6
• Use markdown for migration screen (#8952)

  Next steps will be routing this to model info

  Ahmed Ibrahim · 2026-01-13 07:41:42 +00:00
  325ce985f1
• Merge Modelfamily into modelinfo (#8763)

  - Merge ModelFamily into ModelInfo
  - Remove logic for adding instructions to apply patch
  - Add compaction limit and visible context window to `ModelInfo`

  Ahmed Ibrahim · 2026-01-07 10:35:09 -08:00
  9179c9deac
• Refresh on models etag mismatch (#8491)

  - Send models etag
  - Refresh models on 412
  - This wires `ModelsManager` to `ModelFamily` so we don't mutate it
  mid-turn

  Ahmed Ibrahim · 2026-01-01 11:41:16 -08:00
  66b7c673e9
• Remove reasoning format (#8484)

  This isn't very useful parameter. 
  
  logic:
  ```
  if model puts `**` in their reasoning, trim it and visualize the header.
  if couldn't trim: don't render
  if model doesn't support: don't render
  ```
  
  We can simplify to:
  ```
  if could trim, visualize header.
  if not, don't render
  ```

  Ahmed Ibrahim · 2025-12-23 16:01:46 -08:00
  40de81e7af
• remove minimal client version (#8447)

  This isn't needed value by client

  Ahmed Ibrahim · 2025-12-22 12:52:24 -08:00
  6b2ef216f1
• splash screen (#8270)

  # External (non-OpenAI) Pull Request Requirements
  
  Before opening this Pull Request, please read the dedicated
  "Contributing" markdown file or your PR may be closed:
  https://github.com/openai/codex/blob/main/docs/contributing.md
  
  If your PR conforms to our contribution guidelines, replace this text
  with a detailed and high quality description of your changes.
  
  Include a link to a bug report or enhancement request.

  Ahmed Ibrahim · 2025-12-18 10:59:53 -08:00
  7157421daa
• Show migration link (#8228)

  # External (non-OpenAI) Pull Request Requirements
  
  Before opening this Pull Request, please read the dedicated
  "Contributing" markdown file or your PR may be closed:
  https://github.com/openai/codex/blob/main/docs/contributing.md
  
  If your PR conforms to our contribution guidelines, replace this text
  with a detailed and high quality description of your changes.
  
  Include a link to a bug report or enhancement request.

  Ahmed Ibrahim · 2025-12-18 02:03:40 +00:00
  6f102e18c4
• feat: model picker (#8209)

  # External (non-OpenAI) Pull Request Requirements
  
  Before opening this Pull Request, please read the dedicated
  "Contributing" markdown file or your PR may be closed:
  https://github.com/openai/codex/blob/main/docs/contributing.md
  
  If your PR conforms to our contribution guidelines, replace this text
  with a detailed and high quality description of your changes.
  
  Include a link to a bug report or enhancement request.

  Ahmed Ibrahim · 2025-12-17 16:12:35 -08:00
  774bd9e432
• Update Model Info (#7853)
  Ahmed Ibrahim · 2025-12-11 14:06:07 -08:00
  b7fa7ca8e9
• override instructions using ModelInfo (#7754)

  Making sure we can override base instructions

  Ahmed Ibrahim · 2025-12-08 17:30:42 -08:00
  cacfd003ac
• load models from disk and set a ttl and etag (#7722)

  # External (non-OpenAI) Pull Request Requirements
  
  Before opening this Pull Request, please read the dedicated
  "Contributing" markdown file or your PR may be closed:
  https://github.com/openai/codex/blob/main/docs/contributing.md
  
  If your PR conforms to our contribution guidelines, replace this text
  with a detailed and high quality description of your changes.
  
  Include a link to a bug report or enhancement request.

  Ahmed Ibrahim · 2025-12-08 13:43:04 -08:00
  222a491570
• Add remote models feature flag (#7648)

  # External (non-OpenAI) Pull Request Requirements
  
  Before opening this Pull Request, please read the dedicated
  "Contributing" markdown file or your PR may be closed:
  https://github.com/openai/codex/blob/main/docs/contributing.md
  
  If your PR conforms to our contribution guidelines, replace this text
  with a detailed and high quality description of your changes.
  
  Include a link to a bug report or enhancement request.

  Ahmed Ibrahim · 2025-12-07 09:47:48 -08:00
  53a486f7ea
• Call models endpoint in models manager (#7616)

  - Introduce `with_remote_overrides` and update
  `refresh_available_models`
  - Put `auth_manager` instead of `auth_mode` on `models_manager`
  - Remove `ShellType` and `ReasoningLevel` to use already existing
  structs

  Ahmed Ibrahim · 2025-12-04 18:28:03 -08:00
  7b359c9c8e
• Add models endpoint (#7603)

  - Use the codex-api crate to introduce models endpoint. 
  - Add `models` to codex core tests helpers
  - Add `ModelsInfo` for the endpoint return type

  Ahmed Ibrahim · 2025-12-04 12:57:54 -08:00
  903b7774bc
• Introduce ModelsManager and migrate app-server to use it. (#7552)
  Ahmed Ibrahim · 2025-12-03 17:17:56 -08:00
  00cc00ead8
• Migrate model preset (#7542)

  - Introduce `openai_models` in `/core`
  - Move `PRESETS` under it
  - Move `ModelPreset`, `ModelUpgrade`, `ReasoningEffortPreset`,
  `ReasoningEffortPreset`, and `ReasoningEffortPreset` to `protocol`
  - Introduce `Op::ListModels` and `EventMsg::AvailableModels`
  
  Next steps:
  - migrate `app-server` and `tui` to use the introduced Operation

  Ahmed Ibrahim · 2025-12-03 20:30:43 +00:00
  71504325d3