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>
81 lines
2.6 KiB
Rust
81 lines
2.6 KiB
Rust
use std::time::Instant;
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use tracing::error;
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use crate::llmx::Session;
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use crate::llmx::TurnContext;
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use crate::protocol::EventMsg;
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use crate::protocol::McpInvocation;
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use crate::protocol::McpToolCallBeginEvent;
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use crate::protocol::McpToolCallEndEvent;
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use llmx_protocol::models::FunctionCallOutputPayload;
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use llmx_protocol::models::ResponseInputItem;
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/// Handles the specified tool call dispatches the appropriate
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/// `McpToolCallBegin` and `McpToolCallEnd` events to the `Session`.
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pub(crate) async fn handle_mcp_tool_call(
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sess: &Session,
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turn_context: &TurnContext,
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call_id: String,
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server: String,
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tool_name: String,
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arguments: String,
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) -> ResponseInputItem {
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// Parse the `arguments` as JSON. An empty string is OK, but invalid JSON
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// is not.
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let arguments_value = if arguments.trim().is_empty() {
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None
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} else {
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match serde_json::from_str::<serde_json::Value>(&arguments) {
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Ok(value) => Some(value),
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Err(e) => {
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error!("failed to parse tool call arguments: {e}");
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return ResponseInputItem::FunctionCallOutput {
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call_id: call_id.clone(),
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output: FunctionCallOutputPayload {
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content: format!("err: {e}"),
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success: Some(false),
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..Default::default()
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},
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};
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}
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}
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};
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let invocation = McpInvocation {
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server: server.clone(),
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tool: tool_name.clone(),
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arguments: arguments_value.clone(),
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};
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let tool_call_begin_event = EventMsg::McpToolCallBegin(McpToolCallBeginEvent {
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call_id: call_id.clone(),
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invocation: invocation.clone(),
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});
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notify_mcp_tool_call_event(sess, turn_context, tool_call_begin_event).await;
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let start = Instant::now();
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// Perform the tool call.
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let result = sess
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.call_tool(&server, &tool_name, arguments_value.clone())
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.await
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.map_err(|e| format!("tool call error: {e:?}"));
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if let Err(e) = &result {
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tracing::warn!("MCP tool call error: {e:?}");
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}
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let tool_call_end_event = EventMsg::McpToolCallEnd(McpToolCallEndEvent {
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call_id: call_id.clone(),
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invocation,
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duration: start.elapsed(),
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result: result.clone(),
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});
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notify_mcp_tool_call_event(sess, turn_context, tool_call_end_event.clone()).await;
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ResponseInputItem::McpToolCallOutput { call_id, result }
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}
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async fn notify_mcp_tool_call_event(sess: &Session, turn_context: &TurnContext, event: EventMsg) {
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sess.send_event(turn_context, event).await;
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}
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