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### Title ## otel Codex can emit [OpenTelemetry](https://opentelemetry.io/) **log events** that describe each run: outbound API requests, streamed responses, user input, tool-approval decisions, and the result of every tool invocation. Export is **disabled by default** so local runs remain self-contained. Opt in by adding an `[otel]` table and choosing an exporter. ```toml [otel] environment = "staging" # defaults to "dev" exporter = "none" # defaults to "none"; set to otlp-http or otlp-grpc to send events log_user_prompt = false # defaults to false; redact prompt text unless explicitly enabled ``` Codex tags every exported event with `service.name = "codex-cli"`, the CLI version, and an `env` attribute so downstream collectors can distinguish dev/staging/prod traffic. Only telemetry produced inside the `codex_otel` crate—the events listed below—is forwarded to the exporter. ### Event catalog Every event shares a common set of metadata fields: `event.timestamp`, `conversation.id`, `app.version`, `auth_mode` (when available), `user.account_id` (when available), `terminal.type`, `model`, and `slug`. With OTEL enabled Codex emits the following event types (in addition to the metadata above): - `codex.api_request` - `cf_ray` (optional) - `attempt` - `duration_ms` - `http.response.status_code` (optional) - `error.message` (failures) - `codex.sse_event` - `event.kind` - `duration_ms` - `error.message` (failures) - `input_token_count` (completion only) - `output_token_count` (completion only) - `cached_token_count` (completion only, optional) - `reasoning_token_count` (completion only, optional) - `tool_token_count` (completion only) - `codex.user_prompt` - `prompt_length` - `prompt` (redacted unless `log_user_prompt = true`) - `codex.tool_decision` - `tool_name` - `call_id` - `decision` (`approved`, `approved_for_session`, `denied`, or `abort`) - `source` (`config` or `user`) - `codex.tool_result` - `tool_name` - `call_id` - `arguments` - `duration_ms` (execution time for the tool) - `success` (`"true"` or `"false"`) - `output` ### Choosing an exporter Set `otel.exporter` to control where events go: - `none` – leaves instrumentation active but skips exporting. This is the default. - `otlp-http` – posts OTLP log records to an OTLP/HTTP collector. Specify the endpoint, protocol, and headers your collector expects: ```toml [otel] exporter = { otlp-http = { endpoint = "https://otel.example.com/v1/logs", protocol = "binary", headers = { "x-otlp-api-key" = "${OTLP_TOKEN}" } }} ``` - `otlp-grpc` – streams OTLP log records over gRPC. Provide the endpoint and any metadata headers: ```toml [otel] exporter = { otlp-grpc = { endpoint = "https://otel.example.com:4317", headers = { "x-otlp-meta" = "abc123" } }} ``` If the exporter is `none` nothing is written anywhere; otherwise you must run or point to your own collector. All exporters run on a background batch worker that is flushed on shutdown. If you build Codex from source the OTEL crate is still behind an `otel` feature flag; the official prebuilt binaries ship with the feature enabled. When the feature is disabled the telemetry hooks become no-ops so the CLI continues to function without the extra dependencies. --------- Co-authored-by: Anton Panasenko <apanasenko@openai.com>
npm i -g @openai/codex
or brew install 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
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex
Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager. If you use npm:
npm install -g @openai/codex
Alternatively, if you use Homebrew:
brew install codex
Then simply run codex to get started:
codex
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- 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.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Team, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup. If you previously used an API key for usage-based billing, see the migration steps. If you're having trouble with login, please comment on this issue.
Model Context Protocol (MCP)
Codex CLI supports MCP servers. Enable by adding an mcp_servers section to your ~/.codex/config.toml.
Configuration
Codex CLI supports a rich set of configuration options, with preferences stored in ~/.codex/config.toml. For full configuration options, see Configuration.
Docs & FAQ
- Getting started
- Sandbox & approvals
- Authentication
- Advanced
- Zero data retention (ZDR)
- Contributing
- Install & build
- FAQ
- Open source fund
License
This repository is licensed under the Apache-2.0 License.