Add support for function calling (tools) with Snowflake Cortex models that support it (e.g., Claude 3.5 Sonnet).
Changes:
- Add 'tools' and 'tool_choice' to supported OpenAI parameters
- Implement request transformation: OpenAI function format → Snowflake tool_spec format
- Implement response transformation: Snowflake content_list with tool_use → OpenAI tool_calls
- Add tool_choice transformation: OpenAI nested format → Snowflake array format
Request transformation:
- Transform tools from nested {"type": "function", "function": {...}} to Snowflake's {"tool_spec": {"type": "generic", "name": "...", "input_schema": {...}}}
- Transform tool_choice from {"type": "function", "function": {"name": "..."}} to {"type": "tool", "name": ["..."]}
Response transformation:
- Parse Snowflake's content_list array containing tool_use objects
- Extract tool calls with tool_use_id, name, and input
- Convert to OpenAI's tool_calls format with proper JSON serialization
Testing:
- Add 7 unit tests covering request/response transformations
- Add integration test for Responses API with tool calling
- All tests passing
Fixes issue #15218🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: use fastuuid helper across the codebase
First batch of changes, simple drop in replacement.
* second batch of changes
* fixed: script mistake on helper file
- Add response_modalities configuration to request format
- Fix response parsing to use camelCase 'inlineData' instead of snake_case 'inline_data'
- Update test to validate proper request format and response parsing
- All existing Gemini image generation tests pass
- Reverted GEMINI_2_5_FLASH_IMAGE_PREVIEW_MODEL constant usage
- Made endpoint selection conditional for gemini-2.5-flash-image-preview only
- Preserved existing Imagen models functionality with :predict endpoint
- Fixed potential breaking change that would affect 6 other Gemini image models
UI - allow team member to view service account keys they create + Anthropic - include cache creation tokens in prompt token total (separate out during cost tracking)
- Test external ID parameter propagation through authentication chain
- Cover both standard Bedrock and Converse API authentication flows
- Verify assume_role STS calls include ExternalId when provided
- Ensure backward compatibility when external ID not specified
- Add specific test for BedrockConverseLLM parameter extraction
- Extend existing dynamic parameter tests to include aws_external_id
