### CHANGES
- Update toMessages to handle multi-content messages with text and attachments
- Add contentBlocksFromMessage to convert message parts to Anthropic blocks
- Implement support for image URLs including data URLs and base64 images
- Add PDF attachment handling via data URLs and URL-based PDFs
- Introduce parseDataURL for extracting MIME type and data from data URLs
- Create normalizeImageMimeType to standardize supported image MIME types
- Add isPDFURL to detect PDF files from URL paths
- Refactor system content accumulation to use text extraction from parts
- Update tests to verify PDF attachment processing in multi-content messages
## CHANGES
- Add warning to stderr when using incompatible models with image generation
- Add GPT-5, GPT-5-nano, and GPT-5.2 to supported image generation models
- Create `checkImageGenerationCompatibility` function in OpenAI plugin
- Add comprehensive tests for image generation compatibility warnings
- Add integration test scenarios for CLI image generation workflows
- Suggest gpt-4o as alternative in incompatibility warning messages
Adds test coverage for the Infermatic AI provider in
TestCreateClient to verify the provider exists and
creates a valid client.
Part of #1033: Add Infermatic AI provider support
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Update the SendStream interface to match the current Vendor interface
which now uses chan domain.StreamUpdate instead of chan string.
Changes:
- Update SendStream signature to use chan domain.StreamUpdate
- Update sendChatMessageStream signature accordingly
- Update parseSSEStream signature accordingly
- Wrap all channel sends with domain.StreamUpdate{Type: StreamTypeContent}
This fixes the build error introduced when the streaming interface was
updated to support metadata like token usage alongside content.
## CHANGES
- Add DigitalOcean as a new AI provider in plugin registry
- Implement DigitalOcean client with OpenAI-compatible inference endpoint
- Support model access key authentication for inference requests
- Add optional control plane token for model discovery
- Create DigitalOcean setup documentation with environment variables
- Update README to list DigitalOcean in supported providers
- Handle model listing via control plane API with fallback
## CHANGES
- Add Mammouth provider configuration with API base URL
- Configure Mammouth to use standard OpenAI-compatible interface
- Disable Responses API implementation for Mammouth provider
- Add "Mammouth" to VSCode spell check dictionary
Add centralized factory function for AI vendor plugin initialization:
- Add NewVendorPluginBase(name, configure) to internal/plugins/plugin.go
- Update 8 vendor files (anthropic, bedrock, gemini, lmstudio, ollama,
openai, perplexity, vertexai) to use the factory function
- Add 3 test cases for the new factory function
This removes ~40 lines of duplicated boilerplate code and ensures
consistent plugin initialization across all vendors.
MAESTRO: Loop 00001 refactoring implementation
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
### CHANGES
- Extract `getGeminiRegion` method for region determination
- Use `getGeminiRegion` in `sendGemini` for location setting
- Apply `getGeminiRegion` in `sendStreamGemini` for consistency
- Extract model fetching logic into a dedicated helper function.
- Improve response body cleanup during Vertex AI pagination loops.
- Remove unused time import and timeout constant from models.
- Streamline listPublisherModels function by delegating API requests to helper.
- Dynamic model listing from Vertex AI Model Garden API
- Support for both Gemini (genai SDK) and Claude (Anthropic SDK) models
- Curated Gemini model list (no API available to list them)
- Web search support for Gemini models
- Thinking/extended thinking support for Gemini
- TopP parameter support for Claude models
- Model filtering (excludes imagen, embeddings, legacy models)
- Model sorting (Gemini > Claude > DeepSeek > Llama > Mistral > Others)
- Extract message conversion into dedicated `toMessages` helper method
- Add proper role handling for system, user, and assistant messages
- Prepend system content to first user message per Anthropic format
- Enforce user/assistant message alternation with placeholder messages
- Skip empty messages during conversion processing
- Concatenate multiple text blocks in response output
- Add validation for empty message arrays before sending
- Handle edge case when only system content is provided
Add support for Google Cloud Vertex AI as a provider to access Claude models
using Application Default Credentials (ADC). This allows users to route their
Fabric requests through Google Cloud Platform instead of directly to Anthropic,
enabling billing through GCP.
Features:
- Support for Claude models (Sonnet 4.5, Opus 4.5, Haiku 4.5, etc.) via Vertex AI
- Uses Google ADC for authentication (no API keys required)
- Configurable project ID and region (defaults to 'global' for cost optimization)
- Full support for streaming and non-streaming requests
- Implements complete ai.Vendor interface
Configuration:
- VERTEXAI_PROJECT_ID: GCP project ID (required)
- VERTEXAI_REGION: Vertex AI region (optional, defaults to 'global')
Closes#1570
### CHANGES
- Simplify error wrapping by removing redundant Sprintf calls in CLI
- Pass HTTP client to FetchModelsDirectly to enable connection reuse
- Store persistent HTTP client instance inside the OpenAI provider struct
- Update compatible AI providers to match the new function signature
- Add error handling for pattern loading from absolute file paths
### CHANGES
- Remove redundant fmt.Sprintf calls from error formatting logic
- Simplify model assignment to always use normalized model names
- Remove unused variadic parameter from the VendorsManager Clear method
- Add MiniMax provider configuration to ProviderMap
- Set MiniMax base URL to api.minimaxi.com/v1
- Configure MiniMax with ImplementsResponses as false
- Add test case for MiniMax provider validation
- Add GitHub and Buy Me a Coffee funding configuration.
- Localize setup prompts and error messages across multiple languages.
- Implement helper for localized questions with static environment keys.
- Update environment variable builder to handle hyphenated plugin names.
- Replace hardcoded console output with localized i18n translation strings.
- Expand locale files with comprehensive pattern and strategy translations.
- Add new i18n keys for optional and required markers
- Remove hardcoded `[required]` markers from description strings
- Add custom patterns, Jina AI, YouTube, and language labels
- Switch plugin descriptions to use i18n translation keys
- Append markers dynamically to setup descriptions in Go code
- Remove trailing newlines from plugin question prompt strings
- Standardize all locale files with consistent formatting changes
### CHANGES
- Add automated first-time setup for patterns and strategies.
- Implement configuration validation to warn about missing required components.
- Update setup menu to group plugins into required and optional.
- Provide helpful guidance when no patterns are found in listing.
- Expand localization support for setup and error messaging across languages.
- Enhance strategy manager to reload and count installed strategies.
- Improve pattern error handling with specific guidance for empty directories.
## CHANGES
- Upgrade GitHub Actions to latest versions (v6, v21)
- Add modernization check step in CI workflow
- Replace strings manipulation with `strings.CutPrefix` and `strings.CutSuffix`
- Replace manual loops with `slices.Contains` for validation
- Use `strings.SplitSeq` for iterator-based string splitting
- Replace `bytes.TrimPrefix` with `bytes.CutPrefix` for clarity
- Use `strings.Builder` instead of string concatenation
- Replace `fmt.Sprintf` with `fmt.Appendf` for efficiency
- Simplify padding calculation with `max` builtin
- Replace reflect.TypeOf with TypeFor generic syntax
- Convert traditional for loops to range-based iterations
- Simplify reflection usage in CLI flag handling
- Update test loops to use range over integers
- Refactor string processing loops in template plugin
# CHANGES
- update benchmark loops to use cleaner `b.Loop()` syntax
- remove unnecessary `b.ResetTimer()` call in token benchmark
- use `maps.Copy` for merging variables in patterns handler
- Part 1 of incorporating `modernize` tool into Fabric.
- Replace `interface{}` with `any` in slice type declarations
- Update map types from `map[string]interface{}` to `map[string]any`
- Change variadic function parameters to use `...any` instead of `...interface{}`
- Modernize JSON unmarshaling variables to `any` for consistency
- Update struct fields and method signatures to prefer `any` alias
- Ensure all type assertions and conversions use `any` throughout codebase
- Add PR guidelines in docs to encourage focused, reviewable changes
## CHANGES
- Route CLI execution errors to standard error output
- Print Anthropic stream errors to stderr consistently
- Add os import to support stderr error writes
- Preserve help-output suppression and exit behavior
CHANGES
- update `Ask` to detect reset command and bypass validation
- refactor `OnAnswer` to support new `isReset` parameter logic
- invoke `ConfigureCustom` in `Setup` to avoid redundant re-validation
- add unit tests ensuring required fields can be reset
- add incoming 1860 changelog entry
## CHANGES
- Add base64 and io imports for image handling
- Store httpClient separately in Client struct for reuse
- Convert createChatRequest to return error for validation
- Implement convertMessage to handle multi-content chat messages
- Add loadImageBytes to fetch images from URLs
- Support base64 data URLs for inline images
- Handle HTTP image URLs with context propagation
- Replace debug print with proper debuglog usage
CHANGES:
- Introduce Microsoft 365 Copilot as a new AI vendor.
- Enable querying of Microsoft 365 data like emails, documents, and chats.
- Implement OAuth2 authentication for delegated user permissions.
- Support both synchronous and streaming responses from Copilot.
- Provide comprehensive setup instructions for Azure AD app registration.
- Detail licensing, technical, and permission requirements for Copilot.
- Add troubleshooting steps for common authentication and API errors.
- Document current API limitations and usage examples.
- Integrate Copilot into Fabric's setup process and model listing.
- Add Z AI provider configuration to ProviderMap
- Include BaseURL for Z AI API endpoint
- Add test case for Z AI provider existence
- Add glm to OpenAI model prefixes list
- Reorder gpt-5 in model prefixes list
- Support new Z AI provider in OpenAI compatible plugins
- Add "conceptmap" to VSCode dictionary settings
- Rename `ollamaPrefixes` variable to `ollamaSearchStrings`
- Replace `HasPrefix` with `Contains` for model matching
- Enable substring matching for Ollama model names
- chore: incoming 1847 changelog entry
- Upgrade anthropic-sdk-go from v1.16.0 to v1.19.0
- Bump golang.org/x/text from v0.28.0 to v0.31.0
- Update golang.org/x/crypto from v0.41.0 to v0.45.0
- Upgrade golang.org/x/net from v0.43.0 to v0.47.0
- Bump golang.org/x/sync from v0.16.0 to v0.18.0
- Update golang.org/x/sys from v0.35.0 to v0.38.0
- Add Claude Opus 4.5 model variants to Anthropic client
- chore: incoming 1845 changelog entry
## CHANGES
- Add case-insensitive vendor lookup in VendorsManager
- Implement model name normalization in GetChatter method
- Add FilterByVendor method with case-insensitive matching
- Add FindModelNameCaseInsensitive helper for model queries
- Update group/item comparison to use case-insensitive checks
- Store vendors with lowercase keys internally
- Add comprehensive tests for case-insensitive functionality
- Fix vendor filtering for model listing command
- Add GitHub Models to supported OpenAI-compatible providers list
- Implement direct HTTP fallback for non-standard model responses
- Centralize model fetching logic in openai package
- Upgrade openai-go SDK dependency from v1.8.2 to v1.12.0
- Remove redundant model fetching code from openai_compatible package
- Add comprehensive GitHub Models setup documentation (700+ lines)
- Support custom models URL endpoint per provider configuration
- Add unit tests for direct model fetching functionality
- Update internationalization strings for model fetching errors
- Add VSCode dictionary entries for "azureml" and "Jamba"
- Add deferred channel close at function start
- Return error immediately instead of breaking loop
- Remove redundant channel close statements from loop
- Ensure channel closes on all exit paths consistently
- chore: incoming 1832 changelog entry
### CHANGES
- Remove default space in `BuildSession` message content
- Trim whitespace in `anthropic` message content check
- Trim whitespace in `gemini` message content check
- Upgrade `anthropic-sdk-go` to version 1.16.0
- Remove outdated model `ModelClaude3_5SonnetLatest`
- Add new model `ModelClaudeSonnet4_5_20250929`
- Include `ModelClaudeSonnet4_5_20250929` in `modelBetas` map
- Add prominent warning at top of Extensions guide with visual indicators
- Update main README with brief Extensions section and link to full guide
- Remove misleading examples showing direct piping to fabric
- Add clear examples: ❌ what DOES NOT WORK vs ✅ what WORKS
- Consolidate all extension documentation in Examples/README.md
- Explain technical reason: extensions only processed via ApplyTemplate()
- Prevents user confusion about extension syntax processing
- Extract InputSentinel constant to shared constants.go file
- Remove duplicate inputSentinel definitions from template.go and patterns.go
- Create withTestExtension helper function to reduce test code duplication
- Refactor 3 test functions to use the helper (reduces ~40 lines per test)
- Fix shell script to use $@ instead of $* for proper argument quoting
Addresses review comments from @ksylvan and @Copilot AI
