Add gemini-3-pro-preview model to GetGeminiCLIModels() to make it
available for OAuth-based Gemini CLI users, matching the model
already available in AI Studio provider.
Model spec:
- ID: gemini-3-pro-preview
- Version: 3.0
- Input: 1M tokens
- Output: 64K tokens
- Thinking: 128-32K tokens (dynamic)
- Introduced `gpt-5.1-codex-max` variants to model definitions (`low`, `medium`, `high`, `xhigh`).
- Updated executor logic to map effort levels for Codex Max models.
- Added `lastCodexMaxPrompt` processing for `gpt-5.1-codex-max` prompts.
- Defined instructions for `gpt-5.1-codex-max` in a new file: `codex_instructions/gpt-5.1-codex-max_prompt.md`.
Replace the "~<n>" suffix with "_<n>" when generating unique short names in codex translators (Claude, Gemini, OpenAI chat).
This avoids using a special character in identifiers, improving compatibility with downstream APIs while preserving length constraints.
Add logic to avoid exposing credentials that have been removed from disk but still persist in memory. Ensure `runtimeOnly` checks and proper handling of disabled or removed authentication states.
Introduce `migrateLegacyOpenAICompatibilityKeys` to streamline and reuse the normalization of OpenAI compatibility entries. Remove redundant loops and enhance maintainability for compatibility key handling. Add cleanup for legacy `api-keys` in YAML configuration during persistence.
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.
Refine `handleEvent` to support additional file system operations (Rename, Remove) for config and auth JSON files. Improve client update/removal logic with atomic file replacement handling and incremental processing for auth changes.
Introduce a new `buildinfo` package to store version, commit, and build date metadata. Update HTTP handlers to include build metadata in response headers and modify initialization to set `buildinfo` values during runtime.
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.
- Add 'created' field to model registry for tracking model creation time
- Implement GetFirstAvailableModel() to find the first available model by newest creation timestamp
- Add ResolveAutoModel() utility function to resolve "auto" model name to actual available model
- Update request handler to resolve "auto" model before processing requests
- Ensures automatic model selection when "auto" is specified as model name
This enables dynamic model selection based on availability and creation time, improving the user experience when no specific model is requested.
feat(management): add auth ID normalization and file-based ID resolution
Introduce `authIDForPath` to standardize ID generation from file paths, improving consistency in authentication handling. Update `registerAuthFromFile` and `disableAuth` to utilize normalized IDs, incorporating relative path resolution and file name extraction where applicable.
Enhance error management for file operations and clean up temporary files. Add `NormalizeCommentIndentation` function to ensure YAML comments maintain consistent formatting.
Introduce an endpoint for importing Vertex service account JSON keys and storing them as authentication records. Add handlers for managing WebSocket authentication configuration.
Introduce `scheduleConfigReload` with debounce functionality for config reloads, ensuring efficient handling of frequent changes. Added `stopConfigReloadTimer` for stopping timers during watcher shutdown.
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.
Ben Vargas