- Add Claude thinking model definitions (sonnet-4-5-thinking, opus-4-5-thinking variants)
- Add Thinking support for antigravity models with -thinking suffix
- Add injectThinkingConfig() for automatic thinking budget based on model suffix
- Add resolveUpstreamModel() mappings for thinking variants to actual Claude models
- Add extractAndRemoveBetas() to convert betas array to anthropic-beta header
- Update applyClaudeHeaders() to merge custom betas from request body
Closes#324
- Added `shouldLogRequest` helper to simplify path-based request logging logic.
- Updated middleware to skip management endpoints for improved security.
- Introduced an explicit `nil` logger check for minimal overhead.
- Updated dependencies in `go.mod`.
**feat(auth): add handling for 404 response with retry logic**
- Introduced support for 404 `not_found` status with a 12-hour backoff period.
- Updated `manager.go` to align state and status messages for 404 scenarios.
**refactor(translator): comment out debug logging in Gemini responses request**
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`.
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.
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.
- 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.
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.
- Introduced `ClientSupportsModel` function to `ModelRegistry` for verifying client support for specific models.
- Integrated model support validation into executor candidate filtering logic.
- Updated CLIProxy registry interface to include the new support check method.
- Updated Execute methods to include enhanced error handling via `StatusCode` and `Headers` extraction.
- Introduced structured error responses for cooling down scenarios, providing additional metadata and retry suggestions.
- Refined quota management, allowing for differentiation between cool-down, disabled, and other block reasons.
- Improved model filtering logic based on client availability and suspension criteria.
- Introduced `gemini-2.5-flash-image-preview` model to the registry with updated definitions.
- Enhanced Gemini CLI and API executors to handle image aspect ratio adjustments for the new model.
- Added utility function to create base64 white image placeholders based on aspect ratio configurations.
- Added `glm-4.6` model to registry and documentation.
- Updated Gemini CLI executor to pass configuration to `prepareGeminiCLITokenSource` for improved token management.
- Introduced `gemini-2.5-flash-image` model with updated definitions in registry.
- Enhanced model marker detection in Gemini CLI executor to include support for the new model.
- Added new "Gemini 2.5 Flash Image Preview" model definition, with enhanced image generation capabilities.
- Increased scanner buffer size to 20,971,520 bytes across executors and translators to handle larger payloads.
- Introduced new model definition for `Claude 4.5 Sonnet` with metadata and creation details.
- Ensures compatibility and access to the latest Claude model variant.
The `RegisterClient` function previously deduplicated the list of models provided by a client. This could lead to an inaccurate representation of the client's state if it intentionally registered the same model ID multiple times.
This change refactors the registration logic to store the raw, unfiltered list of models, preserving their original order and count.
A new `rawModelIDs` slice tracks the complete list for storage in `clientModels`, while the logic for processing changes continues to use a unique set of model IDs for efficiency. This ensures the registry's state accurately reflects what the client provides.
When a client re-registers with the model registry, its previous status for a given model (e.g., quota exceeded or suspended) was not being cleared. This could lead to a situation where a client is permanently unable to use a model even after re-registering.
This change ensures that when a client re-registers an existing model, its ID is removed from the model's `QuotaExceededClients` and `SuspendedClients` lists. This effectively resets the client's status for that model, allowing for a fresh start upon reconnection.
The previous model registration logic used a set-like map to track the models associated with a client. This caused issues when a client registered multiple instances of the same model ID, as they were all treated as a single registration.
This commit refactors the registration logic to use count maps for both the old and new model lists. This allows the system to accurately track the number of instances for each model ID provided by a client.
The changes ensure that:
- When a client updates its model list, the exact number of added or removed instances for each model ID is correctly calculated.
- Provider counts are accurately incremented or decremented based on the number of model instances being added, removed, or having their provider changed.
- The registry correctly handles scenarios where a client reduces the number of duplicate model registrations (e.g., from `[A, A]` to `[A]`), properly deregistering the surplus instance.
When a client re-registered and changed its provider from a non-empty value to an empty string, the logic would still trigger a provider update for the client's models. An empty provider string should not cause an update.
This commit fixes this behavior by adding a check to ensure the new provider is a non-empty string before updating the model's provider information.
Additionally, the logic for detecting a provider change has been simplified by removing an unnecessary variable.
When a client changed its provider and registered a new model in the same `RegisterClient` call, the logic would incorrectly attempt to decrement the provider count for the new model from the old provider. This was because the loop iterated over all new model IDs without checking if they were part of the client's previous registration.
This commit adds a check to ensure that a model existed in the client's old model set before attempting to decrement the old provider's usage count. This prevents incorrect state updates in the registry during provider transitions that also introduce new models.
This commit introduces a reconciliation mechanism for handling configuration updates, significantly improving efficiency and resource management.
Previously, reloading the configuration would tear down and recreate all access providers from scratch, regardless of whether their individual configurations had changed. This was inefficient and could disrupt services.
The new `sdkaccess.ReconcileProviders` function now compares the old and new configurations to intelligently manage the provider lifecycle:
- Unchanged providers are kept.
- New providers are created.
- Providers removed from the config are closed and discarded.
- Providers with updated configurations are gracefully closed and recreated.
To support this, a `Close()` method has been added to the `Provider` interface.
A similar reconciliation logic has been applied to the client registration state in `state.RegisterClient`. This ensures that model registrations are accurately tracked when a client's configuration is updated, correctly handling added, removed, and unchanged models. Enhanced logging provides visibility into these operations.
- Deleted `ClientAdapter` implementation and associated fallback methods.
- Removed legacy executor logic from `codex`, `claude`, `gemini`, and `qwen` executors.
- Simplified `handlers` by eliminating `UnwrapError` handling and related dependencies.
- Cleaned up `model_registry` by removing logic associated with suspended clients.
- Updated `.gitignore` to ignore `.serena/` directory.
- Added model suspension with reason tracking for 401 (unauthorized) and 402/403 (payment-related) errors.
- Implemented resumption logic upon model quota recovery or auth state changes.
- Enhanced registry to manage suspended clients, including counts and observability data.
- Updated availability computation to exclude suspended clients, ensuring accurate client model tracking.
- Introduced a new `ForceGPT5Codex` configuration option in settings.
- Added relevant API endpoints for managing `ForceGPT5Codex`.
- Enhanced Codex client to handle GPT-5 Codex-specific logic and mapping.
- Updated example configuration file to include the new option.
Add GPT-5 Codex model support and configuration options in documentation
