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## Why Extension tools were split across two public runtime contracts: `codex-tool-api` exposed `ToolBundle` plus its own call/spec/error types, while core native tools used `codex_tools::ToolExecutor`. That made contributed tool specs and execution behavior easy to drift apart and added another crate boundary for what should be one executable-tool seam. This PR makes `ToolExecutor` the single runtime contract and keeps extension-specific pinning in `codex-extension-api`. ## Remaining todo https://github.com/openai/codex/pull/22369/changes#diff-b935ea8245c3ce568a30cff660175fa6390b66b872ae409e1e2e965738250741R5 Either generic `Invocation` or sub-extract the `ToolCall` and clean `ToolInvocation` ## What changed - Removed the `codex-tool-api` workspace crate and its dependencies from core and `codex-extension-api`. - Made `codex_tools::ToolExecutor` object-safe with `async_trait` so extension contributors can return a dyn executor. - Added the extension-facing aliases under `ext/extension-api/src/contributors/tools.rs`, including `ExtensionToolExecutor = dyn ToolExecutor<ToolCall, Output = ExtensionToolOutput>`. - Changed `ToolContributor::tools` to return extension executors directly instead of `ToolBundle`s. - Updated core’s extension tool handler/registry/router path to adapt those extension executors into the existing native `ToolInvocation` runtime path. - Added focused coverage for extension tools being registered, model-visible, dispatchable, and not replacing built-in tools. ## Verification - `cargo test -p codex-tools` - `cargo test -p codex-extension-api`
19 lines
314 B
TOML
19 lines
314 B
TOML
[package]
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edition.workspace = true
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license.workspace = true
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name = "codex-extension-api"
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version.workspace = true
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[lib]
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name = "codex_extension_api"
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path = "src/lib.rs"
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test = false
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doctest = false
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[lints]
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workspace = true
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[dependencies]
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codex-protocol = { workspace = true }
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codex-tools = { workspace = true }
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