feat: Complete LLMX v0.1.0 - Rebrand from Codex with LiteLLM Integration
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>
This commit is contained in:
Sebastian Krüger
186
llmx-rs/app-server/tests/suite/v2/model_list.rs
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186
llmx-rs/app-server/tests/suite/v2/model_list.rs
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use std::time::Duration;
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use anyhow::Result;
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use anyhow::anyhow;
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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::JSONRPCError;
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use llmx_app_server_protocol::JSONRPCResponse;
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use llmx_app_server_protocol::Model;
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use llmx_app_server_protocol::ModelListParams;
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use llmx_app_server_protocol::ModelListResponse;
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use llmx_app_server_protocol::ReasoningEffortOption;
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use llmx_app_server_protocol::RequestId;
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use llmx_protocol::config_types::ReasoningEffort;
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use pretty_assertions::assert_eq;
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use tempfile::TempDir;
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use tokio::time::timeout;
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const DEFAULT_TIMEOUT: Duration = Duration::from_secs(10);
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const INVALID_REQUEST_ERROR_CODE: i64 = -32600;
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#[tokio::test]
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async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
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let llmx_home = TempDir::new()?;
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let mut mcp = McpProcess::new(llmx_home.path()).await?;
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timeout(DEFAULT_TIMEOUT, mcp.initialize()).await??;
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let request_id = mcp
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.send_list_models_request(ModelListParams {
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limit: Some(100),
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cursor: None,
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})
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.await?;
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let response: JSONRPCResponse = timeout(
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DEFAULT_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 ModelListResponse {
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data: items,
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next_cursor,
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} = to_response::<ModelListResponse>(response)?;
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let expected_models = vec![
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Model {
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id: "gpt-5-llmx".to_string(),
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model: "gpt-5-llmx".to_string(),
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display_name: "gpt-5-llmx".to_string(),
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description: "Optimized for llmx.".to_string(),
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supported_reasoning_efforts: vec![
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Low,
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description: "Fastest responses with limited reasoning".to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Medium,
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description: "Dynamically adjusts reasoning based on the task".to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::High,
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description: "Maximizes reasoning depth for complex or ambiguous problems"
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.to_string(),
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},
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],
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default_reasoning_effort: ReasoningEffort::Medium,
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is_default: true,
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},
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Model {
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id: "gpt-5".to_string(),
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model: "gpt-5".to_string(),
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display_name: "gpt-5".to_string(),
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description: "Broad world knowledge with strong general reasoning.".to_string(),
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supported_reasoning_efforts: vec![
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Minimal,
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description: "Fastest responses with little reasoning".to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Low,
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description: "Balances speed with some reasoning; useful for straightforward \
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queries and short explanations"
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.to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Medium,
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description: "Provides a solid balance of reasoning depth and latency for \
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general-purpose tasks"
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.to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::High,
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description: "Maximizes reasoning depth for complex or ambiguous problems"
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.to_string(),
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},
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],
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default_reasoning_effort: ReasoningEffort::Medium,
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is_default: false,
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},
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];
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assert_eq!(items, expected_models);
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assert!(next_cursor.is_none());
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Ok(())
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}
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#[tokio::test]
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async fn list_models_pagination_works() -> Result<()> {
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let llmx_home = TempDir::new()?;
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let mut mcp = McpProcess::new(llmx_home.path()).await?;
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timeout(DEFAULT_TIMEOUT, mcp.initialize()).await??;
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let first_request = mcp
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.send_list_models_request(ModelListParams {
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limit: Some(1),
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cursor: None,
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})
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.await?;
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let first_response: JSONRPCResponse = timeout(
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DEFAULT_TIMEOUT,
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mcp.read_stream_until_response_message(RequestId::Integer(first_request)),
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)
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.await??;
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let ModelListResponse {
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data: first_items,
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next_cursor: first_cursor,
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} = to_response::<ModelListResponse>(first_response)?;
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assert_eq!(first_items.len(), 1);
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assert_eq!(first_items[0].id, "gpt-5-llmx");
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let next_cursor = first_cursor.ok_or_else(|| anyhow!("cursor for second page"))?;
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let second_request = mcp
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.send_list_models_request(ModelListParams {
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limit: Some(1),
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cursor: Some(next_cursor.clone()),
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})
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.await?;
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let second_response: JSONRPCResponse = timeout(
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DEFAULT_TIMEOUT,
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mcp.read_stream_until_response_message(RequestId::Integer(second_request)),
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)
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.await??;
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let ModelListResponse {
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data: second_items,
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next_cursor: second_cursor,
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} = to_response::<ModelListResponse>(second_response)?;
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assert_eq!(second_items.len(), 1);
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assert_eq!(second_items[0].id, "gpt-5");
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assert!(second_cursor.is_none());
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Ok(())
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}
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#[tokio::test]
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async fn list_models_rejects_invalid_cursor() -> Result<()> {
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let llmx_home = TempDir::new()?;
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let mut mcp = McpProcess::new(llmx_home.path()).await?;
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timeout(DEFAULT_TIMEOUT, mcp.initialize()).await??;
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let request_id = mcp
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.send_list_models_request(ModelListParams {
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limit: None,
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cursor: Some("invalid".to_string()),
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})
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.await?;
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let error: JSONRPCError = timeout(
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DEFAULT_TIMEOUT,
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mcp.read_stream_until_error_message(RequestId::Integer(request_id)),
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)
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.await??;
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assert_eq!(error.id, RequestId::Integer(request_id));
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assert_eq!(error.error.code, INVALID_REQUEST_ERROR_CODE);
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assert_eq!(error.error.message, "invalid cursor: invalid");
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Ok(())
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}
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