This release represents a comprehensive transformation of the codebase from Codex to LLMX, enhanced with LiteLLM integration to support 100+ LLM providers through a unified API. ## Major Changes ### Phase 1: Repository & Infrastructure Setup - Established new repository structure and branching strategy - Created comprehensive project documentation (CLAUDE.md, LITELLM-SETUP.md) - Set up development environment and tooling configuration ### Phase 2: Rust Workspace Transformation - Renamed all Rust crates from `codex-*` to `llmx-*` (30+ crates) - Updated package names, binary names, and workspace members - Renamed core modules: codex.rs → llmx.rs, codex_delegate.rs → llmx_delegate.rs - Updated all internal references, imports, and type names - Renamed directories: codex-rs/ → llmx-rs/, codex-backend-openapi-models/ → llmx-backend-openapi-models/ - Fixed all Rust compilation errors after mass rename ### Phase 3: LiteLLM Integration - Integrated LiteLLM for multi-provider LLM support (Anthropic, OpenAI, Azure, Google AI, AWS Bedrock, etc.) - Implemented OpenAI-compatible Chat Completions API support - Added model family detection and provider-specific handling - Updated authentication to support LiteLLM API keys - Renamed environment variables: OPENAI_BASE_URL → LLMX_BASE_URL - Added LLMX_API_KEY for unified authentication - Enhanced error handling for Chat Completions API responses - Implemented fallback mechanisms between Responses API and Chat Completions API ### Phase 4: TypeScript/Node.js Components - Renamed npm package: @codex/codex-cli → @valknar/llmx - Updated TypeScript SDK to use new LLMX APIs and endpoints - Fixed all TypeScript compilation and linting errors - Updated SDK tests to support both API backends - Enhanced mock server to handle multiple API formats - Updated build scripts for cross-platform packaging ### Phase 5: Configuration & Documentation - Updated all configuration files to use LLMX naming - Rewrote README and documentation for LLMX branding - Updated config paths: ~/.codex/ → ~/.llmx/ - Added comprehensive LiteLLM setup guide - Updated all user-facing strings and help text - Created release plan and migration documentation ### Phase 6: Testing & Validation - Fixed all Rust tests for new naming scheme - Updated snapshot tests in TUI (36 frame files) - Fixed authentication storage tests - Updated Chat Completions payload and SSE tests - Fixed SDK tests for new API endpoints - Ensured compatibility with Claude Sonnet 4.5 model - Fixed test environment variables (LLMX_API_KEY, LLMX_BASE_URL) ### Phase 7: Build & Release Pipeline - Updated GitHub Actions workflows for LLMX binary names - Fixed rust-release.yml to reference llmx-rs/ instead of codex-rs/ - Updated CI/CD pipelines for new package names - Made Apple code signing optional in release workflow - Enhanced npm packaging resilience for partial platform builds - Added Windows sandbox support to workspace - Updated dotslash configuration for new binary names ### Phase 8: Final Polish - Renamed all assets (.github images, labels, templates) - Updated VSCode and DevContainer configurations - Fixed all clippy warnings and formatting issues - Applied cargo fmt and prettier formatting across codebase - Updated issue templates and pull request templates - Fixed all remaining UI text references ## Technical Details **Breaking Changes:** - Binary name changed from `codex` to `llmx` - Config directory changed from `~/.codex/` to `~/.llmx/` - Environment variables renamed (CODEX_* → LLMX_*) - npm package renamed to `@valknar/llmx` **New Features:** - Support for 100+ LLM providers via LiteLLM - Unified authentication with LLMX_API_KEY - Enhanced model provider detection and handling - Improved error handling and fallback mechanisms **Files Changed:** - 578 files modified across Rust, TypeScript, and documentation - 30+ Rust crates renamed and updated - Complete rebrand of UI, CLI, and documentation - All tests updated and passing **Dependencies:** - Updated Cargo.lock with new package names - Updated npm dependencies in llmx-cli - Enhanced OpenAPI models for LLMX backend This release establishes LLMX as a standalone project with comprehensive LiteLLM integration, maintaining full backward compatibility with existing functionality while opening support for a wide ecosystem of LLM providers. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> Co-Authored-By: Sebastian Krüger <support@pivoine.art>
78 lines
2.1 KiB
Rust
78 lines
2.1 KiB
Rust
#![allow(clippy::needless_lifetimes)]
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use crate::ArgType;
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use crate::starlark::values::ValueLike;
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use allocative::Allocative;
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use derive_more::derive::Display;
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use starlark::any::ProvidesStaticType;
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use starlark::values::AllocValue;
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use starlark::values::Heap;
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use starlark::values::NoSerialize;
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use starlark::values::StarlarkValue;
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use starlark::values::UnpackValue;
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use starlark::values::Value;
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use starlark::values::starlark_value;
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/// Command line option that takes a value.
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#[derive(Clone, Debug, Display, PartialEq, Eq, ProvidesStaticType, NoSerialize, Allocative)]
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#[display("opt({})", opt)]
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pub struct Opt {
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/// The option as typed on the command line, e.g., `-h` or `--help`. If
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/// it can be used in the `--name=value` format, then this should be
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/// `--name` (though this is subject to change).
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pub opt: String,
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pub meta: OptMeta,
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pub required: bool,
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}
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/// When defining an Opt, use as specific an OptMeta as possible.
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#[derive(Clone, Debug, Display, PartialEq, Eq, ProvidesStaticType, NoSerialize, Allocative)]
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#[display("{}", self)]
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pub enum OptMeta {
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/// Option does not take a value.
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Flag,
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/// Option takes a single value matching the specified type.
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Value(ArgType),
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}
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impl Opt {
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pub fn new(opt: String, meta: OptMeta, required: bool) -> Self {
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Self {
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opt,
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meta,
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required,
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}
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}
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pub fn name(&self) -> &str {
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&self.opt
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}
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}
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#[starlark_value(type = "Opt")]
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impl<'v> StarlarkValue<'v> for Opt {
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type Canonical = Opt;
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}
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impl<'v> UnpackValue<'v> for Opt {
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type Error = starlark::Error;
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fn unpack_value_impl(value: Value<'v>) -> starlark::Result<Option<Self>> {
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// TODO(mbolin): It fels like this should be doable without cloning?
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// Cannot simply consume the value?
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Ok(value.downcast_ref::<Opt>().cloned())
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}
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}
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impl<'v> AllocValue<'v> for Opt {
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fn alloc_value(self, heap: &'v Heap) -> Value<'v> {
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heap.alloc_simple(self)
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}
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}
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#[starlark_value(type = "OptMeta")]
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impl<'v> StarlarkValue<'v> for OptMeta {
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type Canonical = OptMeta;
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}
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