515b6331bd
This does not implement the full Login with ChatGPT experience, but it
should unblock people.
**What works**
* The `codex` multitool now has a `login` subcommand, so you can run
`codex login`, which should write `CODEX_HOME/auth.json` if you complete
the flow successfully. The TUI will now read the `OPENAI_API_KEY` from
`auth.json`.
* The TUI should refresh the token if it has expired and the necessary
information is in `auth.json`.
* There is a `LoginScreen` in the TUI that tells you to run `codex
login` if both (1) your model provider expects to use `OPENAI_API_KEY`
as its env var, and (2) `OPENAI_API_KEY` is not set.
**What does not work**
* The `LoginScreen` does not support the login flow from within the TUI.
Instead, it tells you to quit, run `codex login`, and then run `codex`
again.
* `codex exec` does read from `auth.json` yet, nor does it direct the
user to go through the login flow if `OPENAI_API_KEY` is not be found.
* The `maybeRedeemCredits()` function from `get-api-key.tsx` has not
been ported from TypeScript to `login_with_chatgpt.py` yet:
a67a67f325/codex-cli/src/utils/get-api-key.tsx (L84-L89)
**Implementation**
Currently, the OAuth flow requires running a local webserver on
`127.0.0.1:1455`. It seemed wasteful to incur the additional binary cost
of a webserver dependency in the Rust CLI just to support login, so
instead we implement this logic in Python, as Python has a `http.server`
module as part of its standard library. Specifically, we bundle the
contents of a single Python file as a string in the Rust CLI and then
use it to spawn a subprocess as `python3 -c
{{SOURCE_FOR_PYTHON_SERVER}}`.
As such, the most significant files in this PR are:
```
codex-rs/login/src/login_with_chatgpt.py
codex-rs/login/src/lib.rs
```
Now that the CLI may load `OPENAI_API_KEY` from the environment _or_
`CODEX_HOME/auth.json`, we need a new abstraction for reading/writing
this variable, so we introduce:
```
codex-rs/core/src/openai_api_key.rs
```
Note that `std::env::set_var()` is [rightfully] `unsafe` in Rust 2024,
so we use a LazyLock<RwLock<Option<String>>> to store `OPENAI_API_KEY`
so it is read in a thread-safe manner.
Ultimately, it should be possible to go through the entire login flow
from the TUI. This PR introduces a placeholder `LoginScreen` UI for that
right now, though the new `codex login` subcommand introduced in this PR
should be a viable workaround until the UI is ready.
**Testing**
Because the login flow is currently implemented in a standalone Python
file, you can test it without building any Rust code as follows:
```
rm -rf /tmp/codex_home && mkdir /tmp/codex_home
CODEX_HOME=/tmp/codex_home python3 codex-rs/login/src/login_with_chatgpt.py
```
For reference:
* the original TypeScript implementation was introduced in
https://github.com/openai/codex/pull/963
* support for redeeming credits was later added in
https://github.com/openai/codex/pull/974
60 lines
1.4 KiB
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60 lines
1.4 KiB
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[package]
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name = "codex-tui"
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version = { workspace = true }
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edition = "2024"
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[[bin]]
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name = "codex-tui"
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path = "src/main.rs"
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[lib]
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name = "codex_tui"
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path = "src/lib.rs"
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[lints]
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workspace = true
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[dependencies]
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anyhow = "1"
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base64 = "0.22.1"
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clap = { version = "4", features = ["derive"] }
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codex-ansi-escape = { path = "../ansi-escape" }
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codex-core = { path = "../core" }
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codex-common = { path = "../common", features = ["cli", "elapsed"] }
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codex-linux-sandbox = { path = "../linux-sandbox" }
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codex-login = { path = "../login" }
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color-eyre = "0.6.3"
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crossterm = { version = "0.28.1", features = ["bracketed-paste"] }
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image = { version = "^0.25.6", default-features = false, features = ["jpeg"] }
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lazy_static = "1"
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mcp-types = { path = "../mcp-types" }
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path-clean = "1.0.1"
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ratatui = { version = "0.29.0", features = [
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"unstable-widget-ref",
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"unstable-rendered-line-info",
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] }
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ratatui-image = "8.0.0"
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regex-lite = "0.1"
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serde_json = { version = "1", features = ["preserve_order"] }
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shlex = "1.3.0"
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strum = "0.27.1"
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strum_macros = "0.27.1"
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tokio = { version = "1", features = [
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"io-std",
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"macros",
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"process",
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"rt-multi-thread",
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"signal",
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] }
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tracing = { version = "0.1.41", features = ["log"] }
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tracing-appender = "0.2.3"
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tracing-subscriber = { version = "0.3.19", features = ["env-filter"] }
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tui-input = "0.11.1"
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tui-markdown = "0.3.3"
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tui-textarea = "0.7.0"
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unicode-segmentation = "1.12.0"
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uuid = "1"
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[dev-dependencies]
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pretty_assertions = "1"
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