Commit Graph

30 Commits

  • Enable analytics in codex exec and codex mcp-server (#13083)
    Addresses #12913
    
    `codex exec` was not correctly defaulting to Otel metrics to enabled 
    `codex mcp-server` completely lacked an Otel collector
    
    Summary:
    - default to enabling analytics when `codex exec` initializes
    OpenTelemetry so the CLI actually reports metrics again
    - add a regression test that proves the flag remains enabled by default
    - added Otel collector to `codex mcp-server`
  • feat: pass helper executable paths via Arg0DispatchPaths (#12719)
    ## Why
    
    `codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs` previously
    located `codex-execve-wrapper` by scanning `PATH` and sibling
    directories. That lookup is brittle and can select the wrong binary when
    the runtime environment differs from startup assumptions.
    
    We already pass `codex-linux-sandbox` from `codex-arg0`;
    `codex-execve-wrapper` should use the same startup-driven path plumbing.
    
    ## What changed
    
    - Introduced `Arg0DispatchPaths` in `codex-arg0` to carry both helper
    executable paths:
      - `codex_linux_sandbox_exe`
      - `main_execve_wrapper_exe`
    - Updated `arg0_dispatch_or_else()` to pass `Arg0DispatchPaths` to
    top-level binaries and preserve helper paths created in
    `prepend_path_entry_for_codex_aliases()`.
    - Threaded `Arg0DispatchPaths` through entrypoints in `cli`, `exec`,
    `tui`, `app-server`, and `mcp-server`.
    - Added `main_execve_wrapper_exe` to core configuration plumbing
    (`Config`, `ConfigOverrides`, and `SessionServices`).
    - Updated zsh-fork shell escalation to consume the configured
    `main_execve_wrapper_exe` and removed path-sniffing fallback logic.
    - Updated app-server config reload paths so reloaded configs keep the
    same startup-provided helper executable paths.
    
    ## References
    
    - [`Arg0DispatchPaths`
    definition](https://github.com/openai/codex/blob/e355b43d5c2a771f045296a6deae10d7c9c36ec6/codex-rs/arg0/src/lib.rs#L20-L24)
    - [`arg0_dispatch_or_else()` forwarding both
    paths](https://github.com/openai/codex/blob/e355b43d5c2a771f045296a6deae10d7c9c36ec6/codex-rs/arg0/src/lib.rs#L145-L176)
    - [zsh-fork escalation using configured wrapper
    path](https://github.com/openai/codex/blob/e355b43d5c2a771f045296a6deae10d7c9c36ec6/codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs#L109-L150)
    
    ## Testing
    
    - `cargo check -p codex-arg0 -p codex-core -p codex-exec -p codex-tui -p
    codex-mcp-server -p codex-app-server`
    - `cargo test -p codex-arg0`
    - `cargo test -p codex-core tools::runtimes::shell::unix_escalation:: --
    --nocapture`
  • feat: split codex-common into smaller utils crates (#11422)
    We are removing feature-gated shared crates from the `codex-rs`
    workspace. `codex-common` grouped several unrelated utilities behind
    `[features]`, which made dependency boundaries harder to reason about
    and worked against the ongoing effort to eliminate feature flags from
    workspace crates.
    
    Splitting these utilities into dedicated crates under `utils/` aligns
    this area with existing workspace structure and keeps each dependency
    explicit at the crate boundary.
    
    ## What changed
    
    - Removed `codex-rs/common` (`codex-common`) from workspace members and
    workspace dependencies.
    - Added six new utility crates under `codex-rs/utils/`:
      - `codex-utils-cli`
      - `codex-utils-elapsed`
      - `codex-utils-sandbox-summary`
      - `codex-utils-approval-presets`
      - `codex-utils-oss`
      - `codex-utils-fuzzy-match`
    - Migrated the corresponding modules out of `codex-common` into these
    crates (with tests), and added matching `BUILD.bazel` targets.
    - Updated direct consumers to use the new crates instead of
    `codex-common`:
      - `codex-rs/cli`
      - `codex-rs/tui`
      - `codex-rs/exec`
      - `codex-rs/app-server`
      - `codex-rs/mcp-server`
      - `codex-rs/chatgpt`
      - `codex-rs/cloud-tasks`
    - Updated workspace lockfile entries to reflect the new dependency graph
    and removal of `codex-common`.
  • feat: replace custom mcp-types crate with equivalents from rmcp (#10349)
    We started working with MCP in Codex before
    https://crates.io/crates/rmcp was mature, so we had our own crate for
    MCP types that was generated from the MCP schema:
    
    
    https://github.com/openai/codex/blob/8b95d3e082376f4cb23e92641705a22afb28a9da/codex-rs/mcp-types/README.md
    
    Now that `rmcp` is more mature, it makes more sense to use their MCP
    types in Rust, as they handle details (like the `_meta` field) that our
    custom version ignored. Though one advantage that our custom types had
    is that our generated types implemented `JsonSchema` and `ts_rs::TS`,
    whereas the types in `rmcp` do not. As such, part of the work of this PR
    is leveraging the adapters between `rmcp` types and the serializable
    types that are API for us (app server and MCP) introduced in #10356.
    
    Note this PR results in a number of changes to
    `codex-rs/app-server-protocol/schema`, which merit special attention
    during review. We must ensure that these changes are still
    backwards-compatible, which is possible because we have:
    
    ```diff
    - export type CallToolResult = { content: Array<ContentBlock>, isError?: boolean, structuredContent?: JsonValue, };
    + export type CallToolResult = { content: Array<JsonValue>, structuredContent?: JsonValue, isError?: boolean, _meta?: JsonValue, };
    ```
    
    so `ContentBlock` has been replaced with the more general `JsonValue`.
    Note that `ContentBlock` was defined as:
    
    ```typescript
    export type ContentBlock = TextContent | ImageContent | AudioContent | ResourceLink | EmbeddedResource;
    ```
    
    so the deletion of those individual variants should not be a cause of
    great concern.
    
    Similarly, we have the following change in
    `codex-rs/app-server-protocol/schema/typescript/Tool.ts`:
    
    ```
    - export type Tool = { annotations?: ToolAnnotations, description?: string, inputSchema: ToolInputSchema, name: string, outputSchema?: ToolOutputSchema, title?: string, };
    + export type Tool = { name: string, title?: string, description?: string, inputSchema: JsonValue, outputSchema?: JsonValue, annotations?: JsonValue, icons?: Array<JsonValue>, _meta?: JsonValue, };
    ```
    
    so:
    
    - `annotations?: ToolAnnotations` ➡️ `JsonValue`
    - `inputSchema: ToolInputSchema` ➡️ `JsonValue`
    - `outputSchema?: ToolOutputSchema` ➡️ `JsonValue`
    
    and two new fields: `icons?: Array<JsonValue>, _meta?: JsonValue`
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/10349).
    * #10357
    * __->__ #10349
    * #10356
  • chore: cleanup Config instantiation codepaths (#8226)
    This PR does various types of cleanup before I can proceed with more
    ambitious changes to config loading.
    
    First, I noticed duplicated code across these two methods:
    
    
    https://github.com/openai/codex/blob/774bd9e432fa2e0f4e059e97648cf92216912e19/codex-rs/core/src/config/mod.rs#L314-L324
    
    
    https://github.com/openai/codex/blob/774bd9e432fa2e0f4e059e97648cf92216912e19/codex-rs/core/src/config/mod.rs#L334-L344
    
    This has now been consolidated in
    `load_config_as_toml_with_cli_overrides()`.
    
    Further, I noticed that `Config::load_with_cli_overrides()` took two
    similar arguments:
    
    
    https://github.com/openai/codex/blob/774bd9e432fa2e0f4e059e97648cf92216912e19/codex-rs/core/src/config/mod.rs#L308-L311
    
    The difference between `cli_overrides` and `overrides` was not
    immediately obvious to me. At first glance, it appears that one should
    be able to be expressed in terms of the other, but it turns out that
    some fields of `ConfigOverrides` (such as `cwd` and
    `codex_linux_sandbox_exe`) are, by design, not configurable via a
    `.toml` file or a command-line `--config` flag.
    
    That said, I discovered that many callers of
    `Config::load_with_cli_overrides()` were passing
    `ConfigOverrides::default()` for `overrides`, so I created two separate
    methods:
    
    - `Config::load_with_cli_overrides(cli_overrides: Vec<(String,
    TomlValue)>)`
    - `Config::load_with_cli_overrides_and_harness_overrides(cli_overrides:
    Vec<(String, TomlValue)>, harness_overrides: ConfigOverrides)`
    
    The latter has a long name, as it is _not_ what should be used in the
    common case, so the extra typing is designed to draw attention to this
    fact. I tried to update the existing callsites to use the shorter name,
    where possible.
    
    Further, in the cases where `ConfigOverrides` is used, usually only a
    limited subset of fields are actually set, so I updated the declarations
    to leverage `..Default::default()` where possible.
  • add(core): managed config (#3868)
    ## Summary
    
    - Factor `load_config_as_toml` into `core::config_loader` so config
    loading is reusable across callers.
    - Layer `~/.codex/config.toml`, optional `~/.codex/managed_config.toml`,
    and macOS managed preferences (base64) with recursive table merging and
    scoped threads per source.
    
    ## Config Flow
    
    ```
    Managed prefs (macOS profile: com.openai.codex/config_toml_base64)
                                   ▲
                                   │
    ~/.codex/managed_config.toml   │  (optional file-based override)
                                   ▲
                                   │
                    ~/.codex/config.toml (user-defined settings)
    ```
    
    - The loader searches under the resolved `CODEX_HOME` directory
    (defaults to `~/.codex`).
    - Managed configs let administrators ship fleet-wide overrides via
    device profiles which is useful for enforcing certain settings like
    sandbox or approval defaults.
    - For nested hash tables: overlays merge recursively. Child tables are
    merged key-by-key, while scalar or array values replace the prior layer
    entirely. This lets admins add or tweak individual fields without
    clobbering unrelated user settings.
  • fix: separate codex mcp into codex mcp-server and codex app-server (#4471)
    This is a very large PR with some non-backwards-compatible changes.
    
    Historically, `codex mcp` (or `codex mcp serve`) started a JSON-RPC-ish
    server that had two overlapping responsibilities:
    
    - Running an MCP server, providing some basic tool calls.
    - Running the app server used to power experiences such as the VS Code
    extension.
    
    This PR aims to separate these into distinct concepts:
    
    - `codex mcp-server` for the MCP server
    - `codex app-server` for the "application server"
    
    Note `codex mcp` still exists because it already has its own subcommands
    for MCP management (`list`, `add`, etc.)
    
    The MCP logic continues to live in `codex-rs/mcp-server` whereas the
    refactored app server logic is in the new `codex-rs/app-server` folder.
    Note that most of the existing integration tests in
    `codex-rs/mcp-server/tests/suite` were actually for the app server, so
    all the tests have been moved with the exception of
    `codex-rs/mcp-server/tests/suite/mod.rs`.
    
    Because this is already a large diff, I tried not to change more than I
    had to, so `codex-rs/app-server/tests/common/mcp_process.rs` still uses
    the name `McpProcess` for now, but I will do some mechanical renamings
    to things like `AppServer` in subsequent PRs.
    
    While `mcp-server` and `app-server` share some overlapping functionality
    (like reading streams of JSONL and dispatching based on message types)
    and some differences (completely different message types), I ended up
    doing a bit of copypasta between the two crates, as both have somewhat
    similar `message_processor.rs` and `outgoing_message.rs` files for now,
    though I expect them to diverge more in the near future.
    
    One material change is that of the initialize handshake for `codex
    app-server`, as we no longer use the MCP types for that handshake.
    Instead, we update `codex-rs/protocol/src/mcp_protocol.rs` to add an
    `Initialize` variant to `ClientRequest`, which takes the `ClientInfo`
    object we need to update the `USER_AGENT_SUFFIX` in
    `codex-rs/app-server/src/message_processor.rs`.
    
    One other material change is in
    `codex-rs/app-server/src/codex_message_processor.rs` where I eliminated
    a use of the `send_event_as_notification()` method I am generally trying
    to deprecate (because it blindly maps an `EventMsg` into a
    `JSONNotification`) in favor of `send_server_notification()`, which
    takes a `ServerNotification`, as that is intended to be a custom enum of
    all notification types supported by the app server. So to make this
    update, I had to introduce a new variant of `ServerNotification`,
    `SessionConfigured`, which is a non-backwards compatible change with the
    old `codex mcp`, and clients will have to be updated after the next
    release that contains this PR. Note that
    `codex-rs/app-server/tests/suite/list_resume.rs` also had to be update
    to reflect this change.
    
    I introduced `codex-rs/utils/json-to-toml/src/lib.rs` as a small utility
    crate to avoid some of the copying between `mcp-server` and
    `app-server`.
  • [mcp-server] Expose fuzzy file search in MCP (#2677)
    ## Summary
    Expose a simple fuzzy file search implementation for mcp clients to work
    with
    
    ## Testing
    - [x] Tested locally
  • fix: remove unnecessary flush() calls (#2873)
    Because we are writing to a pipe, these `flush()` calls are unnecessary,
    so removing these saves us one syscall per write in these two cases.
  • fix: switch to unbounded channel (#2874)
    #2747 encouraged me to audit our codebase for similar issues, as now I
    am particularly suspicious that our flaky tests are due to a racy
    deadlock.
    
    I asked Codex to audit our code, and one of its suggestions was this:
    
    > **High-Risk Patterns**
    >
    > All `send_*` methods await on a bounded
    `mpsc::Sender<OutgoingMessage>`. If the writer blocks, the channel fills
    and the processor task blocks on send, stops draining incoming requests,
    and stdin reader eventually blocks on its send. This creates a
    backpressure deadlock cycle across the three tasks.
    >
    > **Recommendations**
    > * Server outgoing path: break the backpressure cycle
    > * Option A (minimal risk): Change `OutgoingMessageSender` to use an
    unbounded channel to decouple producer from stdout. Add rate logging so
    floods are visible.
    > * Option B (bounded + drop policy): Change `send_*` to try_send and
    drop messages (or coalesce) when the queue is full, logging a warning.
    This prevents processor stalls at the cost of losing messages under
    extreme backpressure.
    > * Option C (two-stage buffer): Keep bounded channel, but have a
    dedicated “egress” task that drains an unbounded internal queue, writing
    to stdout with retries and a shutdown timeout. This centralizes
    backpressure policy.
    
    So this PR is Option A.
    
    Indeed, we previously used a bounded channel with a capacity of `128`,
    but as we discovered recently with #2776, there are certainly cases
    where we can get flooded with events.
    
    That said, `test_shell_command_approval_triggers_elicitation` just
    failed one one build when I put up this PR, so clearly we are not out of
    the woods yet...
    
    **Update:** I think I found the true source of the deadlock! See
    https://github.com/openai/codex/pull/2876
  • Bug fix: clone of incoming_tx can lead to deadlock (#2747)
    POC code
    
    ```rust
    use tokio::sync::mpsc;
    use std::time::Duration;
    
    #[tokio::main]
    async fn main() {
        println!("=== Test 1: Simulating original MCP server pattern ===");
        test_original_pattern().await;
    }
    
    async fn test_original_pattern() {
        println!("Testing the original pattern from MCP server...");
        
        // Create channel - this simulates the original incoming_tx/incoming_rx
        let (tx, mut rx) = mpsc::channel::<String>(10);
        
        // Task 1: Simulates stdin reader that will naturally terminate
        let stdin_task = tokio::spawn({
            let tx_clone = tx.clone();
            async move {
                println!("  stdin_task: Started, will send 3 messages then exit");
                for i in 0..3 {
                    let msg = format!("Message {}", i);
                    if tx_clone.send(msg.clone()).await.is_err() {
                        println!("  stdin_task: Receiver dropped, exiting");
                        break;
                    }
                    println!("  stdin_task: Sent {}", msg);
                    tokio::time::sleep(Duration::from_millis(300)).await;
                }
                println!("  stdin_task: Finished (simulating EOF)");
                // tx_clone is dropped here
            }
        });
        
        // Task 2: Simulates message processor
        let processor_task = tokio::spawn(async move {
            println!("  processor_task: Started, waiting for messages");
            while let Some(msg) = rx.recv().await {
                println!("  processor_task: Processing {}", msg);
                tokio::time::sleep(Duration::from_millis(100)).await;
            }
            println!("  processor_task: Finished (channel closed)");
        });
        
        // Task 3: Simulates stdout writer or other background task
        let background_task = tokio::spawn(async move {
            for i in 0..2 {
                tokio::time::sleep(Duration::from_millis(500)).await;
                println!("  background_task: Tick {}", i);
            }
            println!("  background_task: Finished");
        });
        
        println!("  main: Original tx is still alive here");
        println!("  main: About to call tokio::join! - will this deadlock?");
        
        // This is the pattern from the original code
        let _ = tokio::join!(stdin_task, processor_task, background_task);
    }
    
    ```
    
    ---------
    
    Co-authored-by: Michael Bolin <bolinfest@gmail.com>
  • Added new auth-related methods and events to mcp server (#2496)
    This PR adds the following:
    * A getAuthStatus method on the mcp server. This returns the auth method
    currently in use (chatgpt or apikey) or none if the user is not
    authenticated. It also returns the "preferred auth method" which
    reflects the `preferred_auth_method` value in the config.
    * A logout method on the mcp server. If called, it logs out the user and
    deletes the `auth.json` file — the same behavior in the cli's `/logout`
    command.
    * An `authStatusChange` event notification that is sent when the auth
    status changes due to successful login or logout operations.
    * Logic to pass command-line config overrides to the mcp server at
    startup time. This allows use cases like `codex mcp -c
    preferred_auth_method=apikey`.
  • chore: move mcp-server/src/wire_format.rs to protocol/src/mcp_protocol.rs (#2423)
    The existing `wire_format.rs` should share more types with the
    `codex-protocol` crate (like `AskForApproval` instead of maintaining a
    parallel `CodexToolCallApprovalPolicy` enum), so this PR moves
    `wire_format.rs` into `codex-protocol`, renaming it as
    `mcp-protocol.rs`. We also de-dupe types, where appropriate.
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/2423).
    * #2424
    * __->__ #2423
  • feat: support traditional JSON-RPC request/response in MCP server (#2264)
    This introduces a new set of request types that our `codex mcp`
    supports. Note that these do not conform to MCP tool calls so that
    instead of having to send something like this:
    
    ```json
    {
      "jsonrpc": "2.0",
      "method": "tools/call",
      "id": 42,
      "params": {
        "name": "newConversation",
        "arguments": {
          "model": "gpt-5",
          "approvalPolicy": "on-request"
        }
      }
    }
    ```
    
    we can send something like this:
    
    
    ```json
    {
      "jsonrpc": "2.0",
      "method": "newConversation",
      "id": 42,
      "params": {
        "model": "gpt-5",
        "approvalPolicy": "on-request"
      }
    }
    ```
    
    Admittedly, this new format is not a valid MCP tool call, but we are OK
    with that right now. (That is, not everything we might want to request
    of `codex mcp` is something that is appropriate for an autonomous agent
    to do.)
    
    To start, this introduces four request types:
    
    - `newConversation`
    - `sendUserMessage`
    - `addConversationListener`
    - `removeConversationListener`
    
    The new `mcp-server/tests/codex_message_processor_flow.rs` shows how
    these can be used.
    
    The types are defined on the `CodexRequest` enum, so we introduce a new
    `CodexMessageProcessor` that is responsible for dealing with requests
    from this enum. The top-level `MessageProcessor` has been updated so
    that when `process_request()` is called, it first checks whether the
    request conforms to `CodexRequest` and dispatches it to
    `CodexMessageProcessor` if so.
    
    Note that I also decided to use `camelCase` for the on-the-wire format,
    as that seems to be the convention for MCP.
    
    For the moment, the new protocol is defined in `wire_format.rs` within
    the `mcp-server` crate, but in a subsequent PR, I will probably move it
    to its own crate to ensure the protocol has minimal dependencies and
    that we can codegen a schema from it.
    
    
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/2264).
    * #2278
    * __->__ #2264
  • fix: update OutgoingMessageSender::send_response() to take Serialize (#2263)
    This makes `send_response()` easier to work with.
  • MCP: add conversation.create tool [Stack 2/2] (#1783)
    Introduce conversation.create handler (handle_create_conversation) and
    wire it in MessageProcessor.
    
    Stack:
    Top: #1783 
    Bottom: #1784
    
    ---------
    
    Co-authored-by: Gabriel Peal <gpeal@users.noreply.github.com>
  • Introduce a new function to just send user message [Stack 3/3] (#1686)
    - MCP server: add send-user-message tool to send user input to a running
    Codex session
    - Added an integration tests for the happy and sad paths
    
    Changes:
    •	Add tool definition and schema.
    •	Expose tool in capabilities.
    •	Route and handle tool requests with validation.
    •	Tests for success, bad UUID, and missing session.
    
    
    follow‑ups
    • Listen path not implemented yet; the tool is present but marked “don’t
    use yet” in code comments.
    • Session run flag reset: clear running_session_id_set appropriately
    after turn completion/errors.
    
    This is the third PR in a stack.
    Stack:
    Final: #1686
    Intermediate: #1751
    First: #1750
  • MCP server: route structured tool-call requests and expose mcp_protocol [Stack 2/3] (#1751)
    - Expose mcp_protocol from mcp-server for reuse in tests and callers.
    - In MessageProcessor, detect structured ToolCallRequestParams in
    tools/call and forward to a new handler.
    - Add handle_new_tool_calls scaffold (returns error for now).
    - Test helper: add send_send_user_message_tool_call to McpProcess to
    send ConversationSendMessage requests;
    
    This is the second PR in a stack.
    Stack:
    Final: #1686
    Intermediate: #1751
    First: #1750
  • Mcp protocol (#1715)
    - Add typed MCP protocol surface in
    `codex-rs/mcp-server/src/mcp_protocol.rs` for `requests`, `responses`,
    and `notifications`
    - Requests: `NewConversation`, `Connect`, `SendUserMessage`,
    `GetConversations`
    - Message content parts: `Text`, `Image` (`ImageUrl`/`FileId`, optional
    `ImageDetail`), File (`Url`/`Id`/`inline Data`)
    - Responses: `ToolCallResponseEnvelope` with optional `isError` and
    `structuredContent` variants (`NewConversation`, `Connect`,
    `SendUserMessageAccepted`, `GetConversations`)
    - Notifications: `InitialState`, `ConnectionRevoked`, `CodexEvent`,
    `Cancelled`
    - Uniform `_meta` on `notifications` via `NotificationMeta`
    (`conversationId`, `requestId`)
    - Unit tests validate JSON wire shapes for key
    `requests`/`responses`/`notifications`
  • Add an elicitation for approve patch and refactor tool calls (#1642)
    1. Added an elicitation for `approve-patch` which is very similar to
    `approve-exec`.
    2. Extracted both elicitations to their own files to prevent
    `codex_tool_runner` from blowing up in size.
  • test: add integration test for MCP server (#1633)
    This PR introduces a single integration test for `cargo mcp`, though it
    also introduces a number of reusable components so that it should be
    easier to introduce more integration tests going forward.
    
    The new test is introduced in `codex-rs/mcp-server/tests/elicitation.rs`
    and the reusable pieces are in `codex-rs/mcp-server/tests/common`.
    
    The test itself verifies new functionality around elicitations
    introduced in https://github.com/openai/codex/pull/1623 (and the fix
    introduced in https://github.com/openai/codex/pull/1629) by doing the
    following:
    
    - starts a mock model provider with canned responses for
    `/v1/chat/completions`
    - starts the MCP server with a `config.toml` to use that model provider
    (and `approval_policy = "untrusted"`)
    - sends the `codex` tool call which causes the mock model provider to
    request a shell call for `git init`
    - the MCP server sends an elicitation to the client to approve the
    request
    - the client replies to the elicitation with `"approved"`
    - the MCP server runs the command and re-samples the model, getting a
    `"finish_reason": "stop"`
    - in turn, the MCP server sends the final response to the original
    `codex` tool call
    - verifies that `git init` ran as expected
    
    To test:
    
    ```
    cargo test shell_command_approval_triggers_elicitation
    ```
    
    In writing this test, I discovered that `ExecApprovalResponse` does not
    conform to `ElicitResult`, so I added a TODO to fix that, since I think
    that should be updated in a separate PR. As it stands, this PR does not
    update any business logic, though it does make a number of members of
    the `mcp-server` crate `pub` so they can be used in the test.
    
    One additional learning from this PR is that
    `std::process::Command::cargo_bin()` from the `assert_cmd` trait is only
    available for `std::process::Command`, but we really want to use
    `tokio::process::Command` so that everything is async and we can
    leverage utilities like `tokio::time::timeout()`. The trick I came up
    with was to use `cargo_bin()` to locate the program, and then to use
    `std::process::Command::get_program()` when constructing the
    `tokio::process::Command`.
  • feat: leverage elicitations in the MCP server (#1623)
    This updates the MCP server so that if it receives an
    `ExecApprovalRequest` from the `Codex` session, it in turn sends an [MCP
    elicitation](https://modelcontextprotocol.io/specification/draft/client/elicitation)
    to the client to ask for the approval decision. Upon getting a response,
    it forwards the client's decision via `Op::ExecApproval`.
    
    Admittedly, we should be doing the same thing for
    `ApplyPatchApprovalRequest`, but this is our first time experimenting
    with elicitations, so I'm inclined to defer wiring that code path up
    until we feel good about how this one works.
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/1623).
    * __->__ #1623
    * #1622
    * #1621
    * #1620
  • chore: introduce OutgoingMessageSender (#1622)
    Previous to this change, `MessageProcessor` had a
    `tokio::sync::mpsc::Sender<JSONRPCMessage>` as an abstraction for server
    code to send a message down to the MCP client. Because `Sender` is cheap
    to `clone()`, it was straightforward to make it available to tasks
    scheduled with `tokio::task::spawn()`.
    
    This worked well when we were only sending notifications or responses
    back down to the client, but we want to add support for sending
    elicitations in #1623, which means that we need to be able to send
    _requests_ to the client, and now we need a bit of centralization to
    ensure all request ids are unique.
    
    To that end, this PR introduces `OutgoingMessageSender`, which houses
    the existing `Sender<OutgoingMessage>` as well as an `AtomicI64` to mint
    out new, unique request ids. It has methods like `send_request()` and
    `send_response()` so that callers do not have to deal with
    `JSONRPCMessage` directly, as having to set the `jsonrpc` for each
    message was a bit tedious (this cleans up `codex_tool_runner.rs` quite a
    bit).
    
    We do not have `OutgoingMessageSender` implement `Clone` because it is
    important that the `AtomicI64` is shared across all users of
    `OutgoingMessageSender`. As such, `Arc<OutgoingMessageSender>` must be
    used instead, as it is frequently shared with new tokio tasks.
    
    As part of this change, we update `message_processor.rs` to embrace
    `await`, though we must be careful that no individual handler blocks the
    main loop and prevents other messages from being handled.
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/1622).
    * #1623
    * __->__ #1622
    * #1621
    * #1620
  • chore: support MCP schema 2025-06-18 (#1621)
    This updates the schema in `generate_mcp_types.py` from `2025-03-26` to
    `2025-06-18`, regenerates `mcp-types/src/lib.rs`, and then updates all
    the code that uses `mcp-types` to honor the changes.
    
    Ran
    
    ```
    npx @modelcontextprotocol/inspector just codex mcp
    ```
    
    and verified that I was able to invoke the `codex` tool, as expected.
    
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/1621).
    * #1623
    * #1622
    * __->__ #1621
  • feat: add support for -c/--config to override individual config items (#1137)
    This PR introduces support for `-c`/`--config` so users can override
    individual config values on the command line using `--config
    name=value`. Example:
    
    ```
    codex --config model=o4-mini
    ```
    
    Making it possible to set arbitrary config values on the command line
    results in a more flexible configuration scheme and makes it easier to
    provide single-line examples that can be copy-pasted from documentation.
    
    Effectively, it means there are four levels of configuration for some
    values:
    
    - Default value (e.g., `model` currently defaults to `o4-mini`)
    - Value in `config.toml` (e.g., user could override the default to be
    `model = "o3"` in their `config.toml`)
    - Specifying `-c` or `--config` to override `model` (e.g., user can
    include `-c model=o3` in their list of args to Codex)
    - If available, a config-specific flag can be used, which takes
    precedence over `-c` (e.g., user can specify `--model o3` in their list
    of args to Codex)
    
    Now that it is possible to specify anything that could be configured in
    `config.toml` on the command line using `-c`, we do not need to have a
    custom flag for every possible config option (which can clutter the
    output of `--help`). To that end, as part of this PR, we drop support
    for the `--disable-response-storage` flag, as users can now specify `-c
    disable_response_storage=true` to get the equivalent functionality.
    
    Under the hood, this works by loading the `config.toml` into a
    `toml::Value`. Then for each `key=value`, we create a small synthetic
    TOML file with `value` so that we can run the TOML parser to get the
    equivalent `toml::Value`. We then parse `key` to determine the point in
    the original `toml::Value` to do the insert/replace. Once all of the
    overrides from `-c` args have been applied, the `toml::Value` is
    deserialized into a `ConfigToml` and then the `ConfigOverrides` are
    applied, as before.
  • feat: add codex_linux_sandbox_exe: Option<PathBuf> field to Config (#1089)
    https://github.com/openai/codex/pull/1086 is a work-in-progress to make
    Linux sandboxing work more like Seatbelt where, for the command we want
    to sandbox, we build up the command and then hand it, and some sandbox
    configuration flags, to another command to set up the sandbox and then
    run it.
    
    In the case of Seatbelt, macOS provides this helper binary and provides
    it at `/usr/bin/sandbox-exec`. For Linux, we have to build our own and
    pass it through (which is what #1086 does), so this makes the new
    `codex_linux_sandbox_exe` available on `Config` so that it will later be
    available in `exec.rs` when we need it in #1086.
  • feat: add mcp subcommand to CLI to run Codex as an MCP server (#934)
    Previously, running Codex as an MCP server required a standalone binary
    in our Cargo workspace, but this PR makes it available as a subcommand
    (`mcp`) of the main CLI.
    
    Ran this with:
    
    ```
    RUST_LOG=debug npx @modelcontextprotocol/inspector cargo run --bin codex -- mcp
    ```
    
    and verified it worked as expected in the inspector at
    `http://127.0.0.1:6274/`.