pakrym-oai
a4711b88dd
## Why `fs/readFile` buffers the entire file in one response, which makes large remote reads expensive and prevents callers from applying backpressure. We need an opt-in streaming path with bounded block sizes while preserving the existing single-call API for small and sandboxed reads. ## What changed - Add `ExecServerClient::stream`, returning a named `FileReadStream` that implements `futures::Stream` and yields immutable 1 MiB byte blocks. - Add internal `fs/open`, `fs/readBlock`, and `fs/close` RPCs. `fs/readBlock` accepts an explicit offset and length. - Keep unsandboxed files open between block reads, cap open handles per connection, and clean them up on EOF, error, stream drop, explicit close, or connection shutdown. - Reject platform-sandboxed streaming opens instead of turning the one-shot sandbox helper into a persistent server. Existing `fs/readFile` behavior is unchanged. ## Testing - `just test -p codex-exec-server` - Integration coverage for 1 MiB chunking, exact block-boundary EOF, sandbox rejection, and continued reads from the opened file after path replacement. - Handle-manager coverage for non-sequential offsets, variable block lengths, the 128-handle limit, and capacity release after close.
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
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Quickstart
Installing and running Codex CLI
Run the following on Mac or Linux to install Codex CLI:
curl -fsSL https://chatgpt.com/codex/install.sh | sh
Run the following on Windows to install Codex CLI:
powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
Codex CLI can also be installed via the following package managers:
# Install using npm
npm install -g @openai/codex
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brew install --cask codex
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You can also go to the latest GitHub Release and download the appropriate binary for your platform.
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- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
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Docs
This repository is licensed under the Apache-2.0 License.