e924070cee
This is a substantial PR to add support for the chat completions API, which in turn makes it possible to use non-OpenAI model providers (just like in the TypeScript CLI): * It moves a number of structs from `client.rs` to `client_common.rs` so they can be shared. * It introduces support for the chat completions API in `chat_completions.rs`. * It updates `ModelProviderInfo` so that `env_key` is `Option<String>` instead of `String` (for e.g., ollama) and adds a `wire_api` field * It updates `client.rs` to choose between `stream_responses()` and `stream_chat_completions()` based on the `wire_api` for the `ModelProviderInfo` * It updates the `exec` and TUI CLIs to no longer fail if the `OPENAI_API_KEY` environment variable is not set * It updates the TUI so that `EventMsg::Error` is displayed more prominently when it occurs, particularly now that it is important to alert users to the `CodexErr::EnvVar` variant. * `CodexErr::EnvVar` was updated to include an optional `instructions` field so we can preserve the behavior where we direct users to https://platform.openai.com if `OPENAI_API_KEY` is not set. * Cleaned up the "welcome message" in the TUI to ensure the model provider is displayed. * Updated the docs in `codex-rs/README.md`. To exercise the chat completions API from OpenAI models, I added the following to my `config.toml`: ```toml model = "gpt-4o" model_provider = "openai-chat-completions" [model_providers.openai-chat-completions] name = "OpenAI using Chat Completions" base_url = "https://api.openai.com/v1" env_key = "OPENAI_API_KEY" wire_api = "chat" ``` Though to test a non-OpenAI provider, I installed ollama with mistral locally on my Mac because ChatGPT said that would be a good match for my hardware: ```shell brew install ollama ollama serve ollama pull mistral ``` Then I added the following to my `~/.codex/config.toml`: ```toml model = "mistral" model_provider = "ollama" ``` Note this code could certainly use more test coverage, but I want to get this in so folks can start playing with it. For reference, I believe https://github.com/openai/codex/pull/247 was roughly the comparable PR on the TypeScript side.
35 lines
814 B
Rust
35 lines
814 B
Rust
//! Root of the `codex-core` library.
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// Prevent accidental direct writes to stdout/stderr in library code. All
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// user‑visible output must go through the appropriate abstraction (e.g.,
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// the TUI or the tracing stack).
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#![deny(clippy::print_stdout, clippy::print_stderr)]
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mod chat_completions;
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mod client;
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mod client_common;
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pub mod codex;
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pub use codex::Codex;
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pub mod codex_wrapper;
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pub mod config;
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mod conversation_history;
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pub mod error;
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pub mod exec;
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mod flags;
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mod is_safe_command;
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#[cfg(target_os = "linux")]
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pub mod linux;
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mod mcp_connection_manager;
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pub mod mcp_server_config;
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mod mcp_tool_call;
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mod model_provider_info;
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pub use model_provider_info::ModelProviderInfo;
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pub use model_provider_info::WireApi;
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mod models;
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pub mod protocol;
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mod rollout;
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mod safety;
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mod user_notification;
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pub mod util;
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