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>
65 lines
1.9 KiB
Rust
65 lines
1.9 KiB
Rust
use anyhow::Result;
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use app_test_support::McpProcess;
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use app_test_support::to_response;
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use llmx_app_server_protocol::JSONRPCResponse;
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use llmx_app_server_protocol::RequestId;
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use llmx_app_server_protocol::SetDefaultModelParams;
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use llmx_app_server_protocol::SetDefaultModelResponse;
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use llmx_core::config::ConfigToml;
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use pretty_assertions::assert_eq;
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use std::path::Path;
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use tempfile::TempDir;
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use tokio::time::timeout;
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const DEFAULT_READ_TIMEOUT: std::time::Duration = std::time::Duration::from_secs(10);
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#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
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async fn set_default_model_persists_overrides() -> Result<()> {
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let llmx_home = TempDir::new()?;
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create_config_toml(llmx_home.path())?;
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let mut mcp = McpProcess::new(llmx_home.path()).await?;
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timeout(DEFAULT_READ_TIMEOUT, mcp.initialize()).await??;
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let params = SetDefaultModelParams {
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model: Some("gpt-4.1".to_string()),
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reasoning_effort: None,
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};
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let request_id = mcp.send_set_default_model_request(params).await?;
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let resp: JSONRPCResponse = timeout(
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DEFAULT_READ_TIMEOUT,
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mcp.read_stream_until_response_message(RequestId::Integer(request_id)),
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)
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.await??;
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let _: SetDefaultModelResponse = to_response(resp)?;
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let config_path = llmx_home.path().join("config.toml");
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let config_contents = tokio::fs::read_to_string(&config_path).await?;
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let config_toml: ConfigToml = toml::from_str(&config_contents)?;
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assert_eq!(
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ConfigToml {
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model: Some("gpt-4.1".to_string()),
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model_reasoning_effort: None,
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..Default::default()
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},
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config_toml,
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);
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Ok(())
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}
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// Helper to create a config.toml; mirrors create_conversation.rs
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fn create_config_toml(llmx_home: &Path) -> std::io::Result<()> {
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let config_toml = llmx_home.join("config.toml");
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std::fs::write(
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config_toml,
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r#"
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model = "gpt-5-llmx"
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model_reasoning_effort = "medium"
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"#,
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)
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}
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