## Summary Add dynamic tool injection to thread startup in API v2, wire dynamic tool calls through the app server to clients, and plumb responses back into the model tool pipeline. ### Flow (high level) - Thread start injects `dynamic_tools` into the model tool list for that thread (validation is done here). - When the model emits a tool call for one of those names, core raises a `DynamicToolCallRequest` event. - The app server forwards it to the client as `item/tool/call`, waits for the client’s response, then submits a `DynamicToolResponse` back to core. - Core turns that into a `function_call_output` in the next model request so the model can continue. ### What changed - Added dynamic tool specs to v2 thread start params and protocol types; introduced `item/tool/call` (request/response) for dynamic tool execution. - Core now registers dynamic tool specs at request time and routes those calls via a new dynamic tool handler. - App server validates tool names/schemas, forwards dynamic tool call requests to clients, and publishes tool outputs back into the session. - Integration tests
npm i -g @openai/codex
or brew install --cask codex
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.
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Quickstart
Installing and running Codex CLI
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This repository is licensed under the Apache-2.0 License.
