Commit Graph

27 Commits

  • client side modelinfo overrides (#12101)
    TL;DR
    Add top-level `model_catalog_json` config support so users can supply a
    local model catalog override from a JSON file path (including adding new
    models) without backend changes.
    
    ### Problem
    Codex previously had no clean client-side way to replace/overlay model
    catalog data for local testing of model metadata and new model entries.
    
    ### Fix
    - Add top-level `model_catalog_json` config field (JSON file path).
    - Apply catalog entries when resolving `ModelInfo`:
      1. Base resolved model metadata (remote/fallback)
      2. Catalog overlay from `model_catalog_json`
    3. Existing global top-level overrides (`model_context_window`,
    `model_supports_reasoning_summaries`, etc.)
    
    ### Note
    Will revisit per-field overrides in a follow-up
    
    ### Tests
    Added tests
  • fix: file watcher (#12105)
    The issue was that the file_watcher never unsubscribe a file watch. All
    of them leave in the owning of the ThreadManager. As a result, for each
    newly created thread we create a new file watcher but this one never get
    deleted even if we close the thread. On Unix system, a file watcher uses
    an `inotify` and after some time we end up having consumed all of them.
    
    This PR adds a mechanism to unsubscribe a file watcher when a thread is
    dropped
  • chore: rm remote models fflag (#11699)
    rm `remote_models` feature flag.
    
    We see issues like #11527 when a user has `remote_models` disabled, as
    we always use the default fallback `ModelInfo`. This causes issues with
    model performance.
    
    Builds on #11690, which helps by warning the user when they are using
    the default fallback. This PR will make that happen much less frequently
    as an accidental consequence of disabling `remote_models`.
  • feat(app-server): experimental flag to persist extended history (#11227)
    This PR adds an experimental `persist_extended_history` bool flag to
    app-server thread APIs so rollout logs can retain a richer set of
    EventMsgs for non-lossy Thread > Turn > ThreadItems reconstruction (i.e.
    on `thread/resume`).
    
    ### Motivation
    Today, our rollout recorder only persists a small subset (e.g. user
    message, reasoning, assistant message) of `EventMsg` types, dropping a
    good number (like command exec, file change, etc.) that are important
    for reconstructing full item history for `thread/resume`, `thread/read`,
    and `thread/fork`.
    
    Some clients want to be able to resume a thread without lossiness. This
    lossiness is primarily a UI thing, since what the model sees are
    `ResponseItem` and not `EventMsg`.
    
    ### Approach
    This change introduces an opt-in `persist_full_history` flag to preserve
    those events when you start/resume/fork a thread (defaults to `false`).
    
    This is done by adding an `EventPersistenceMode` to the rollout
    recorder:
    - `Limited` (existing behavior, default)
    - `Extended` (new opt-in behavior)
    
    In `Extended` mode, persist additional `EventMsg` variants needed for
    non-lossy app-server `ThreadItem` reconstruction. We now store the
    following ThreadItems that we didn't before:
    - web search
    - command execution
    - patch/file changes
    - MCP tool calls
    - image view calls
    - collab tool outcomes
    - context compaction
    - review mode enter/exit
    
    For **command executions** in particular, we truncate the output using
    the existing `truncate_text` from core to store an upper bound of 10,000
    bytes, which is also the default value for truncating tool outputs shown
    to the model. This keeps the size of the rollout file and command
    execution items returned over the wire reasonable.
    
    And we also persist `EventMsg::Error` which we can now map back to the
    Turn's status and populates the Turn's error metadata.
    
    #### Updates to EventMsgs
    To truly make `thread/resume` non-lossy, we also needed to persist the
    `status` on `EventMsg::CommandExecutionEndEvent` and
    `EventMsg::PatchApplyEndEvent`. Previously it was not obvious whether a
    command failed or was declined (similar for apply_patch). These
    EventMsgs were never persisted before so I made it a required field.
  • Remove test-support feature from codex-core and replace it with explicit test toggles (#11405)
    ## Why
    
    `codex-core` was being built in multiple feature-resolved permutations
    because test-only behavior was modeled as crate features. For a large
    crate, those permutations increase compile cost and reduce cache reuse.
    
    ## Net Change
    
    - Removed the `test-support` crate feature and related feature wiring so
    `codex-core` no longer needs separate feature shapes for test consumers.
    - Standardized cross-crate test-only access behind
    `codex_core::test_support`.
    - External test code now imports helpers from
    `codex_core::test_support`.
    - Underlying implementation hooks are kept internal (`pub(crate)`)
    instead of broadly public.
    
    ## Outcome
    
    - Fewer `codex-core` build permutations.
    - Better incremental cache reuse across test targets.
    - No intended production behavior change.
  • Add resume_agent collab tool (#10903)
    Summary
    - add the new resume_agent collab tool path through core, protocol, and
    the app server API, including the resume events
    - update the schema/TypeScript definitions plus docs so resume_agent
    appears in generated artifacts and README
    - note that resumed agents rehydrate rollout history without overwriting
    their base instructions
    
    Testing
    - Not run (not requested)
  • Added support for live updates to skills (#10478)
    Add a centralized FileWatcher in codex-core (using notify) that watches
    skill roots from the config layer stack (recursive)
    
    Send `SkillsChanged` events when relevant file system changes are
    detected
    
    On `SkillsChanged`:
    * Invalidate the skills cache immediately in ThreadManager
    * Emit EventMsg::SkillsUpdateAvailable to active sessions
    ~~* Broadcast a new app-server notification:
    SkillsListUpdatedNotification~~
    
    This change does not inject new items into the event stream. That means
    the agent will not know about new skills, so it won't be able to
    implicitly invoke new skills. It also won't know about changes to
    existing skills, so if it has already read the contents of a modified
    skill, it will not honor the new behavior.
    
    This change also does not detect modifications to AGENTS.md.
    
    I plan to address these limitations in a follow-on PR modeled after
    #9985. Injection of new skills and AGENTS was deemed to risky, hence the
    need to split the feature into two stages. The changes in this PR were
    designed to easily accommodate the second stage once we have some other
    foundational changes in place.
    
    Testing: In addition to automated tests, I did manual testing to confirm
    that newly-created skills, deleted skills, and renamed skills are
    reflected in the TUI skill picker menu. Also confirmed that
    modifications to behaviors for explicitly-invoked skills are honored.
    
    ---------
    
    Co-authored-by: Xin Lin <xl@openai.com>
  • chore: add phase to message responseitem (#10455)
    ### What
    
    add wiring for `phase` field on `ResponseItem::Message` to lay
    groundwork for differentiating model preambles and final messages.
    currently optional.
    
    follows pattern in #9698.
    
    updated schemas with `just write-app-server-schema` so we can see type
    changes.
    
    ### Tests
    Updated existing tests for SSE parsing and hydrating from history
  • feat: dynamic tools injection (#9539)
    ## Summary
    Add dynamic tool injection to thread startup in API v2, wire dynamic
    tool calls through the app server to clients, and plumb responses back
    into the model tool pipeline.
    
    ### Flow (high level)
    - Thread start injects `dynamic_tools` into the model tool list for that
    thread (validation is done here).
    - When the model emits a tool call for one of those names, core raises a
    `DynamicToolCallRequest` event.
    - The app server forwards it to the client as `item/tool/call`, waits
    for the client’s response, then submits a `DynamicToolResponse` back to
    core.
    - Core turns that into a `function_call_output` in the next model
    request so the model can continue.
    
    ### What changed
    - Added dynamic tool specs to v2 thread start params and protocol types;
    introduced `item/tool/call` (request/response) for dynamic tool
    execution.
    - Core now registers dynamic tool specs at request time and routes those
    calls via a new dynamic tool handler.
    - App server validates tool names/schemas, forwards dynamic tool call
    requests to clients, and publishes tool outputs back into the session.
    - Integration tests
  • Use collaboration mode masks without mutating base settings (#9806)
    Keep an unmasked base collaboration mode and apply the active mask on
    demand. Simplify the TUI mask helpers and update tests/docs to match the
    mask contract.
  • Support end_turn flag (#9698)
    Experimental flag that signals the end of the turn.
  • feat: max threads config (#9483)
    # 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.
  • Add collaboration developer instructions (#9424)
    - Add additional instructions when they are available
    - Make sure to update them on change either UserInput or UserTurn
  • Expose collaboration presets (#9421)
    Expose collaboration presets for clients
    
    ---------
    
    Co-authored-by: Josh McKinney <joshka@openai.com>
  • feat: add auto refresh on thread listeners (#9105)
    This PR is in the scope of multi-agent work. 
    
    An agent (=thread) can now spawn other agents. Those other agents are
    not attached to any clients. We need a way to make sure that the clients
    are aware of the new threads to look at (for approval for example). This
    PR adds a channel to the `ThreadManager` that pushes the ID of those
    newly created agents such that the client (here the app-server) can also
    subscribe to those ones.
  • 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
  • Assemble sandbox/approval/network prompts dynamically (#8961)
    - Add a single builder for developer permissions messaging that accepts
    SandboxPolicy and approval policy. This builder now drives the developer
    “permissions” message that’s injected at session start and any time
    sandbox/approval settings change.
    - Trim EnvironmentContext to only include cwd, writable roots, and
    shell; removed sandbox/approval/network duplication and adjusted XML
    serialization and tests accordingly.
    
    Follow-up: adding a config value to replace the developer permissions
    message for custom sandboxes.
  • feat: hot reload mcp servers (#8957)
    ### Summary
    * Added `mcpServer/refresh` command to inform app servers and active
    threads to refresh mcpServer on next turn event.
    * Added `pending_mcp_server_refresh_config` to codex core so that if the
    value is populated, we reinitialize the mcp server manager on the thread
    level.
    * The config is updated on `mcpServer/refresh` command which we iterate
    through threads and provide with the latest config value after last
    write.
  • feat: fork conversation/thread (#8866)
    ## Summary
    - add thread/conversation fork endpoints to the protocol (v1 + v2)
    - implement fork handling in app-server using thread manager and config
    overrides
    - add fork coverage in app-server tests and document `thread/fork` usage
  • chore: unify conversation with thread name (#8830)
    Done and verified by Codex + refactor feature of RustRover