Commit Graph

14 Commits

  • Removed experimental "command risk assessment" feature (#7799)
    This experimental feature received lukewarm reception during internal
    testing. Removing from the code base.
  • refactoring with_escalated_permissions to use SandboxPermissions instead (#7750)
    helpful in the future if we want more granularity for requesting
    escalated permissions:
    e.g when running in readonly sandbox, model can request to escalate to a
    sandbox that allows writes
  • Wire with_remote_overrides to construct model families (#7621)
    - This PR wires `with_remote_overrides` and make the
    `construct_model_families` an async function
    - Moves getting model family a level above to keep the function `sync`
    - Updates the tests to local, offline, and `sync` helper for model
    families
  • remove model_family from `config (#7571)
    - Remove `model_family` from `config`
    - Make sure to still override config elements related to `model_family`
    like supporting reasoning
  • 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
  • Fixed regression in experimental "sandbox command assessment" feature (#7308)
    Recent model updates caused the experimental "sandbox tool assessment"
    to time out most of the time leaving the user without any risk
    assessment or tool summary. This change explicitly sets the reasoning
    effort to medium and bumps the timeout.
    
    This change has no effect if the user hasn't enabled the
    `experimental_sandbox_command_assessment` feature flag.
  • feat: update process_exec_tool_call() to take a cancellation token (#6972)
    This updates `ExecParams` so that instead of taking `timeout_ms:
    Option<u64>`, it now takes a more general cancellation mechanism,
    `ExecExpiration`, which is an enum that includes a
    `Cancellation(tokio_util::sync::CancellationToken)` variant.
    
    If the cancellation token is fired, then `process_exec_tool_call()`
    returns in the same way as if a timeout was exceeded.
    
    This is necessary so that in #6973, we can manage the timeout logic
    external to the `process_exec_tool_call()` because we want to "suspend"
    the timeout when an elicitation from a human user is pending.
    
    
    
    
    
    
    
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/6972).
    * #7005
    * #6973
    * __->__ #6972
  • execpolicy2 core integration (#6641)
    This PR threads execpolicy2 into codex-core.
    
    activated via feature flag: exec_policy (on by default)
    
    reads and parses all .codexpolicy files in `codex_home/codex`
    
    refactored tool runtime API to integrate execpolicy logic
    
    ---------
    
    Co-authored-by: Michael Bolin <mbolin@openai.com>
  • core: widen sandbox to allow certificate ops when network is enabled (#5980)
    This allows `gh api` to work in the workspace-write sandbox w/ network
    enabled. Without this we see e.g.
    
    ```
    $ codex debug seatbelt --full-auto gh api repos/openai/codex/pulls --paginate -X GET -F state=all
    Get "https://api.github.com/repos/openai/codex/pulls?per_page=100&state=all": tls: failed to verify certificate: x509: OSStatus -26276
    ```
  • Changes to sandbox command assessment feature based on initial experiment feedback (#6091)
    * Removed sandbox risk categories; feedback indicates that these are not
    that useful and "less is more"
    * Tweaked the assessment prompt to generate terser answers
    * Fixed bug in orchestrator that prevents this feature from being
    exposed in the extension
  • Windows Sandbox - Alpha version (#4905)
    - Added the new codex-windows-sandbox crate that builds both a library
    entry point (run_windows_sandbox_capture) and a CLI executable to launch
    commands inside a Windows restricted-token sandbox, including ACL
    management, capability SID provisioning, network lockdown, and output
    capture
    (windows-sandbox-rs/src/lib.rs:167, windows-sandbox-rs/src/main.rs:54).
    - Introduced the experimental WindowsSandbox feature flag and wiring so
    Windows builds can opt into the sandbox:
    SandboxType::WindowsRestrictedToken, the in-process execution path, and
    platform sandbox selection now honor the flag (core/src/features.rs:47,
    core/src/config.rs:1224, core/src/safety.rs:19,
    core/src/sandboxing/mod.rs:69, core/src/exec.rs:79,
    core/src/exec.rs:172).
    - Updated workspace metadata to include the new crate and its
    Windows-specific dependencies so the core crate can link against it
    (codex-rs/
        Cargo.toml:91, core/Cargo.toml:86).
    - Added a PowerShell bootstrap script that installs the Windows
    toolchain, required CLI utilities, and builds the workspace to ease
    development
        on the platform (scripts/setup-windows.ps1:1).
    - Landed a Python smoke-test suite that exercises
    read-only/workspace-write policies, ACL behavior, and network denial for
    the Windows sandbox
        binary (windows-sandbox-rs/sandbox_smoketests.py:1).
  • Delegate review to codex instance (#5572)
    In this PR, I am exploring migrating task kind to an invocation of
    Codex. The main reason would be getting rid off multiple
    `ConversationHistory` state and streamlining our context/history
    management.
    
    This approach depends on opening a channel between the sub-codex and
    codex. This channel is responsible for forwarding `interactive`
    (`approvals`) and `non-interactive` events. The `task` is responsible
    for handling those events.
    
    This opens the door for implementing `codex as a tool`, replacing
    `compact` and `review`, and potentially subagents.
    
    One consideration is this code is very similar to `app-server` specially
    in the approval part. If in the future we wanted an interactive
    `sub-codex` we should consider using `codex-mcp`
  • Added model summary and risk assessment for commands that violate sandbox policy (#5536)
    This PR adds support for a model-based summary and risk assessment for
    commands that violate the sandbox policy and require user approval. This
    aids the user in evaluating whether the command should be approved.
    
    The feature works by taking a failed command and passing it back to the
    model and asking it to summarize the command, give it a risk level (low,
    medium, high) and a risk category (e.g. "data deletion" or "data
    exfiltration"). It uses a new conversation thread so the context in the
    existing thread doesn't influence the answer. If the call to the model
    fails or takes longer than 5 seconds, it falls back to the current
    behavior.
    
    For now, this is an experimental feature and is gated by a config key
    `experimental_sandbox_command_assessment`.
    
    Here is a screen shot of the approval prompt showing the risk assessment
    and summary.
    
    <img width="723" height="282" alt="image"
    src="https://github.com/user-attachments/assets/4597dd7c-d5a0-4e9f-9d13-414bd082fd6b"
    />
  • chore: rework tools execution workflow (#5278)
    Re-work the tool execution flow. Read `orchestrator.rs` to understand
    the structure