Extract reasoning effort mapping into a reusable function `setReasoningEffortByAlias` to reduce redundancy and improve maintainability. Introduce support for the "gpt-5.1-none" variant in the registry and runtime executor.
Stop advertising and mapping the unsupported gpt-5.1-minimal variant in the model registry and Codex executor, and align bare gpt-5.1 requests to use medium reasoning effort like Codex CLI while preserving minimal for gpt-5.
Expand executor logic to handle GPT-5.1 Codex family and its variants, including reasoning effort configurations for minimal, low, medium, and high levels. Ensure proper mapping of models to payload parameters.
Introduce `PayloadConfig` in the configuration to define default and override rules for modifying payload parameters. Implement `applyPayloadConfig` and `applyPayloadConfigWithRoot` to apply these rules across various executors, ensuring consistent parameter handling for different models and protocols. Update all relevant executors to utilize this functionality.
feat(runtime): add support for GPT-5.1 models and variants
Introduce GPT-5.1 model family, including minimal, low, medium, high, Codex, and Codex Mini variants. Update tokenization and reasoning effort handling to accommodate new models in executor and registry.
Introduce support for multi-project Gemini CLI logins, including shared and virtual credential management. Enhance runtime, metadata handling, and token updates for better project granularity and consistency across virtual and shared credentials. Extend onboarding to allow activating all available projects.
Extend `resolveUsageSource` to support Vertex projects by extracting and normalizing `project_id` or `project` from the metadata for accurate source resolution.
Extend `vertexAccessToken` to support proxy-aware HTTP clients and update calls accordingly for better configurability. Add `deleteTokenRecord` to handle token cleanup, improving management of authentication files.
Introduce Vertex AI Gemini integration with support for service account-based authentication, credential storage, and import functionality. Added new executor for Vertex AI requests, including execution and streaming paths, and integrated it into the core manager. Enhanced CLI with `--vertex-import` flag for importing service account keys.
Add `ensurePublished` to guarantee request counting even when usage fields (e.g., tokens) are absent in OpenAI-compatible executor responses, particularly for streaming paths.
Adds three new Codex Mini model variants (mini, mini-medium, mini-high)
that map to codex-mini-latest. Codex Mini supports medium and high
reasoning effort levels only (no low/minimal). Base model defaults to
medium reasoning effort.
- Standardized User-Agent strings for Codex and Claude executors to improve request tracing and compatibility.
- Updated header insertion logic in both executors for consistency.
feat(runtime): add Brotli and Zstd compression support, improve response handling
- Implemented Brotli and Zstd decompression handling in `FileRequestLogger` and executor logic for enhanced compatibility.
- Added `decodeResponseBody` utility for streamlined multi-encoding support (Gzip, Deflate, Brotli, Zstd).
- Improved resource cleanup with composite readers for proper closure under all conditions.
- Updated dependencies in `go.mod` and `go.sum` to include Brotli and Zstd libraries.
- Introduced model alias mapping for Claude configurations, enabling upstream and client-facing model name associations.
- Added `computeClaudeModelsHash` to generate a consistent hash for model aliases.
- Implemented `normalizeClaudeKey` function to standardize input API key configuration, including models.
- Enhanced executor to resolve model aliases to upstream names dynamically.
- Updated documentation and configuration examples to reflect new model alias support.
- Introduce Server.AttachWebsocketRoute(path, handler) to mount websocket
upgrade handlers on the Gin engine.
- Track registered WS paths via wsRoutes with wsRouteMu to prevent
duplicate registrations; initialize in NewServer and import sync.
- Add Manager.UnregisterExecutor(provider) for clean executor lifecycle
management.
- Add github.com/gorilla/websocket v1.5.3 dependency and update go.sum.
Motivation: enable services to expose WS endpoints through the core server
and allow removing auth executors dynamically while avoiding duplicate
route setup. No breaking changes.
feat(translator): add token counting functionality for Gemini, Claude, and CLI
- Introduced `TokenCount` handling across various Codex translators (Gemini, Claude, CLI) with respective implementations.
- Added utility methods for token counting and formatting responses.
- Integrated `tiktoken-go/tokenizer` library for tokenization.
- Updated CodexExecutor with token counting logic to support multiple models including GPT-5 variants.
- Refined go.mod and go.sum to include new dependencies.
feat(runtime): add token counting functionality across executors
- Implemented token counting in OpenAICompatExecutor, QwenExecutor, and IFlowExecutor.
- Added utilities for token counting and response formatting using `tiktoken-go/tokenizer`.
- Integrated token counting into translators for Gemini, Claude, and Gemini CLI.
- Enhanced multiple model support, including GPT-5 variants, for token counting.
docs: update environment variable instructions for multi-model support
- Added details for setting `ANTHROPIC_DEFAULT_OPUS_MODEL`, `ANTHROPIC_DEFAULT_SONNET_MODEL`, and `ANTHROPIC_DEFAULT_HAIKU_MODEL` for version 2.x.x.
- Clarified usage of `ANTHROPIC_MODEL` and `ANTHROPIC_SMALL_FAST_MODEL` for version 1.x.x.
- Expanded examples for setting environment variables across different models including Gemini, GPT-5, Claude, and Qwen3.
- Added comprehensive instructions for Codex CLI harness, sandboxing, approvals, and editing constraints to `internal/misc/codex_instructions/`.
- Clarified `approval_policy` configurations and scenarios requiring escalated permissions.
- Provided detailed style and structure guidelines for presenting results in the Codex CLI.
- Updated the Execute methods in various executors (GeminiCLIExecutor, GeminiExecutor, IFlowExecutor, OpenAICompatExecutor, QwenExecutor) to return a response and error as named return values for improved clarity.
- Enhanced error handling by deferring failure tracking in usage reporters, ensuring that failures are reported correctly.
- Improved response body handling by ensuring proper closure and error logging for HTTP responses across all executors.
- Added failure tracking and reporting in the usage reporter to capture unsuccessful requests.
- Updated the usage logging structure to include a 'Failed' field for better tracking of request outcomes.
- Adjusted the logic in the RequestStatistics and Record methods to accommodate the new failure tracking mechanism.
- Added detailed logging of upstream request metadata including URL, method, headers, and body for Codex, Gemini, IFlow, OpenAI Compat, and Qwen executors.
- Implemented error logging for API response failures to capture errors during HTTP requests.
- Introduced structured logging for authentication details (AuthID, AuthLabel, AuthType, AuthValue) to improve traceability.
- Updated response logging to include status codes and headers for better debugging.
- Ensured that all executors consistently log API interactions to facilitate monitoring and troubleshooting.
feat(gemini): add Gemini thinking configuration support and metadata normalization
- Introduced logic to parse and apply `thinkingBudget` and `include_thoughts` configurations from metadata.
- Enhanced request handling to include normalized Gemini model metadata, preserving the original model identifier.
- Updated Gemini and Gemini-CLI executors to apply thinking configuration based on metadata overrides.
- Refactored handlers to support metadata extraction and cloning during request preparation.
When from==to (Claude→Claude scenario), directly forward SSE stream
line-by-line without invoking TranslateStream. This preserves the
multi-line SSE event structure (event:/data:/blank) and prevents
JSON parsing errors caused by event fragmentation.
Resolves: JSON parsing error when using Claude Code streaming responses
fix: correct SSE event formatting in Handler layer
Remove duplicate newline additions (\n\n) that were breaking SSE event format.
The Executor layer already provides properly formatted SSE chunks with correct
line endings, so the Handler should forward them as-is without modification.
Changes:
- Remove redundant \n\n addition after each chunk
- Add len(chunk) > 0 check before writing
- Format error messages as proper SSE events (event: error\ndata: {...}\n\n)
- Add chunkIdx counter for future debugging needs
This fixes JSON parsing errors caused by malformed SSE event streams.
fix: update comments for clarity in SSE event forwarding
