Commit Graph

26 Commits

  • Add "View Image" tool (#2723)
    Adds a "View Image" tool so Codex can find and see images by itself:
    
    <img width="1772" height="420" alt="Screenshot 2025-08-26 at 10 40
    04 AM"
    src="https://github.com/user-attachments/assets/7a459c7b-0b86-4125-82d9-05fbb35ade03"
    />
  • Add web search tool (#2371)
    Adds web_search tool, enabling the model to use Responses API web_search
    tool.
    - Disabled by default, enabled by --search flag
    - When --search is passed, exposes web_search_request function tool to
    the model, which triggers user approval. When approved, the model can
    use the web_search tool for the remainder of the turn
    <img width="1033" height="294" alt="image"
    src="https://github.com/user-attachments/assets/62ac6563-b946-465c-ba5d-9325af28b28f"
    />
    
    ---------
    
    Co-authored-by: easong-openai <easong@openai.com>
  • 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
  • [tools] Add apply_patch tool (#2303)
    ## Summary
    We've been seeing a number of issues and reports with our synthetic
    `apply_patch` tool, e.g. #802. Let's make this a real tool - in my
    anecdotal testing, it's critical for GPT-OSS models, but I'd like to
    make it the standard across GPT-5 and codex models as well.
    
    ## Testing
    - [x] Tested locally
    - [x] Integration test
  • Added allow-expect-in-tests / allow-unwrap-in-tests (#2328)
    This PR:
    * Added the clippy.toml to configure allowable expect / unwrap usage in
    tests
    * Removed as many expect/allow lines as possible from tests
    * moved a bunch of allows to expects where possible
    
    Note: in integration tests, non `#[test]` helper functions are not
    covered by this so we had to leave a few lingering `expect(expect_used`
    checks around
  • 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
  • [mcp-server] Support CodexToolCallApprovalPolicy::OnRequest (#2187)
    ## Summary
    #1865 added `AskForApproval::OnRequest`, but missed adding it to our
    custom struct in `mcp-server`. This adds the missing configuration
    
    ## Testing
    - [x] confirmed locally
  • chore: remove unnecessary default_ prefix (#1854)
    This prefix is not inline with the other fields on the `ConfigOverrides`
    struct.
  • Introduce --oss flag to use gpt-oss models (#1848)
    This adds support for easily running Codex backed by a local Ollama
    instance running our new open source models. See
    https://github.com/openai/gpt-oss for details.
    
    If you pass in `--oss` you'll be prompted to install/launch ollama, and
    it will automatically download the 20b model and attempt to use it.
    
    We'll likely want to expand this with some options later to make the
    experience smoother for users who can't run the 20b or want to run the
    120b.
    
    Co-authored-by: Michael Bolin <mbolin@openai.com>
  • Add an experimental plan tool (#1726)
    This adds a tool the model can call to update a plan. The tool doesn't
    actually _do_ anything but it gives clients a chance to read and render
    the structured plan. We will likely iterate on the prompt and tools
    exposed for planning over time.
  • Add support for custom base instructions (#1645)
    Allows providing custom instructions file as a config parameter and
    custom instruction text via MCP tool call.
  • [mcp-server] Add reply tool call (#1643)
    ## Summary
    Adds a new mcp tool call, `codex-reply`, so we can continue existing
    sessions. This is a first draft and does not yet support sessions from
    previous processes.
    
    ## Testing
    - [x] tested with mcp client
  • 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`.
  • 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 --sandbox flag (#1476)
    On a high-level, we try to design `config.toml` so that you don't have
    to "comment out a lot of stuff" when testing different options.
    
    Previously, defining a sandbox policy was somewhat at odds with this
    principle because you would define the policy as attributes of
    `[sandbox]` like so:
    
    ```toml
    [sandbox]
    mode = "workspace-write"
    writable_roots = [ "/tmp" ]
    ```
    
    but if you wanted to temporarily change to a read-only sandbox, you
    might feel compelled to modify your file to be:
    
    ```toml
    [sandbox]
    mode = "read-only"
    # mode = "workspace-write"
    # writable_roots = [ "/tmp" ]
    ```
    
    Technically, commenting out `writable_roots` would not be strictly
    necessary, as `mode = "read-only"` would ignore `writable_roots`, but
    it's still a reasonable thing to do to keep things tidy.
    
    Currently, the various values for `mode` do not support that many
    attributes, so this is not that hard to maintain, but one could imagine
    this becoming more complex in the future.
    
    In this PR, we change Codex CLI so that it no longer recognizes
    `[sandbox]`. Instead, it introduces a top-level option, `sandbox_mode`,
    and `[sandbox_workspace_write]` is used to further configure the sandbox
    when when `sandbox_mode = "workspace-write"` is used:
    
    ```toml
    sandbox_mode = "workspace-write"
    
    [sandbox_workspace_write]
    writable_roots = [ "/tmp" ]
    ```
    
    This feels a bit more future-proof in that it is less tedious to
    configure different sandboxes:
    
    ```toml
    sandbox_mode = "workspace-write"
    
    [sandbox_read_only]
    # read-only options here...
    
    [sandbox_workspace_write]
    writable_roots = [ "/tmp" ]
    
    [sandbox_danger_full_access]
    # danger-full-access options here...
    ```
    
    In this scheme, you never need to comment out the configuration for an
    individual sandbox type: you only need to redefine `sandbox_mode`.
    
    Relatedly, previous to this change, a user had to do `-c
    sandbox.mode=read-only` to change the mode on the command line. With
    this change, things are arguably a bit cleaner because the equivalent
    option is `-c sandbox_mode=read-only` (and now `-c
    sandbox_workspace_write=...` can be set separately).
    
    Though more importantly, we introduce the `-s/--sandbox` option to the
    CLI, which maps directly to `sandbox_mode` in `config.toml`, making
    config override behavior easier to reason about. Moreover, as you can
    see in the updates to the various Markdown files, it is much easier to
    explain how to configure sandboxing when things like `--sandbox
    read-only` can be used as an example.
    
    Relatedly, this cleanup also made it straightforward to add support for
    a `sandbox` option for Codex when used as an MCP server (see the changes
    to `mcp-server/src/codex_tool_config.rs`).
    
    Fixes https://github.com/openai/codex/issues/1248.
  • chore: rename AskForApproval::UnlessAllowListed to AskForApproval::UnlessTrusted (#1385)
    We could just rename to `Untrusted` instead of `UnlessTrusted`, but I
    think `AskForApproval::UnlessTrusted` reads a bit better.
  • chore: rename unless-allow-listed to untrusted (#1378)
    For the `approval_policy` config option, renames `unless-allow-listed`
    to `untrusted`. In general, when it comes to exec'ing commands, I think
    "trusted" is a more accurate term than "safe."
    
    Also drops the `AskForApproval::AutoEdit` variant, as we were not really
    making use of it, anyway.
    
    Fixes https://github.com/openai/codex/issues/1250.
    
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/1378).
    * #1379
    * __->__ #1378
  • feat: redesign sandbox config (#1373)
    This is a major redesign of how sandbox configuration works and aims to
    fix https://github.com/openai/codex/issues/1248. Specifically, it
    replaces `sandbox_permissions` in `config.toml` (and the
    `-s`/`--sandbox-permission` CLI flags) with a "table" with effectively
    three variants:
    
    ```toml
    # Safest option: full disk is read-only, but writes and network access are disallowed.
    [sandbox]
    mode = "read-only"
    
    # The cwd of the Codex task is writable, as well as $TMPDIR on macOS.
    # writable_roots can be used to specify additional writable folders.
    [sandbox]
    mode = "workspace-write"
    writable_roots = []  # Optional, defaults to the empty list.
    network_access = false  # Optional, defaults to false.
    
    # Disable sandboxing: use at your own risk!!!
    [sandbox]
    mode = "danger-full-access"
    ```
    
    This should make sandboxing easier to reason about. While we have
    dropped support for `-s`, the way it works now is:
    
    - no flags => `read-only`
    - `--full-auto` => `workspace-write`
    - currently, there is no way to specify `danger-full-access` via a CLI
    flag, but we will revisit that as part of
    https://github.com/openai/codex/issues/1254
    
    Outstanding issue:
    
    - As noted in the `TODO` on `SandboxPolicy::is_unrestricted()`, we are
    still conflating sandbox preferences with approval preferences in that
    case, which needs to be cleaned up.
  • 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: introduce --profile for Rust CLI (#921)
    This introduces a much-needed "profile" concept where users can specify
    a collection of options under one name and then pass that via
    `--profile` to the CLI.
    
    This PR introduces the `ConfigProfile` struct and makes it a field of
    `CargoToml`. It further updates
    `Config::load_from_base_config_with_overrides()` to respect
    `ConfigProfile`, overriding default values where appropriate. A detailed
    unit test is added at the end of `config.rs` to verify this behavior.
    
    Details on how to use this feature have also been added to
    `codex-rs/README.md`.
  • Disallow expect via lints (#865)
    Adds `expect()` as a denied lint. Same deal applies with `unwrap()`
    where we now need to put `#[expect(...` on ones that we legit want. Took
    care to enable `expect()` in test contexts.
    
    # Tests
    
    ```
    cargo fmt
    cargo clippy --all-features --all-targets --no-deps -- -D warnings
    cargo test
    ```
  • feat: read model_provider and model_providers from config.toml (#853)
    This is the first step in supporting other model providers in the Rust
    CLI. Specifically, this PR adds support for the new entries in `Config`
    and `ConfigOverrides` to specify a `ModelProviderInfo`, which is the
    basic config needed for an LLM provider. This PR does not get us all the
    way there yet because `client.rs` still categorically appends
    `/responses` to the URL and expects the endpoint to support the OpenAI
    Responses API. Will fix that next!
  • Update cargo to 2024 edition (#842)
    Some effects of this change:
    - New formatting changes across many files. No functionality changes
    should occur from that.
    - Calls to `set_env` are considered unsafe, since this only happens in
    tests we wrap them in `unsafe` blocks
  • feat: make Codex available as a tool when running it as an MCP server (#811)
    This PR replaces the placeholder `"echo"` tool call in the MCP server
    with a `"codex"` tool that calls Codex. Events such as
    `ExecApprovalRequest` and `ApplyPatchApprovalRequest` are not handled
    properly yet, but I have `approval_policy = "never"` set in my
    `~/.codex/config.toml` such that those codepaths are not exercised.
    
    The schema for this MPC tool is defined by a new `CodexToolCallParam`
    struct introduced in this PR. It is fairly similar to `ConfigOverrides`,
    as the param is used to help create the `Config` used to start the Codex
    session, though it also includes the `prompt` used to kick off the
    session.
    
    This PR also introduces the use of the third-party `schemars` crate to
    generate the JSON schema, which is verified in the
    `verify_codex_tool_json_schema()` unit test.
    
    Events that are dispatched during the Codex session are sent back to the
    MCP client as MCP notifications. This gives the client a way to monitor
    progress as the tool call itself may take minutes to complete depending
    on the complexity of the task requested by the user.
    
    In the video below, I launched the server via:
    
    ```shell
    mcp-server$ RUST_LOG=debug npx @modelcontextprotocol/inspector cargo run --
    ```
    
    In the video, you can see the flow of:
    
    * requesting the list of tools
    * choosing the **codex** tool
    * entering a value for **prompt** and then making the tool call
    
    Note that I left the other fields blank because when unspecified, the
    values in my `~/.codex/config.toml` were used:
    
    
    https://github.com/user-attachments/assets/1975058c-b004-43ef-8c8d-800a953b8192
    
    Note that while using the inspector, I did run into
    https://github.com/modelcontextprotocol/inspector/issues/293, though the
    tip about ensuring I had only one instance of the **MCP Inspector** tab
    open in my browser seemed to fix things.