* feat: add Streamable HTTP transport support for remote MCP providers (#357)
Add `streamable_http` as a supported transport type for `MCPProvider`,
enabling connections to MCP servers that use the Streamable HTTP protocol
(e.g. Tavily remote endpoints). Previously only SSE transport was supported,
causing silent 5-minute timeouts when connecting to incompatible endpoints.
- Expand `MCPProvider.provider_type` to `Literal["sse", "streamable_http"]`
(default remains `"sse"` for backwards compatibility)
- Route `streamable_http` providers through `streamablehttp_client` from
the MCP SDK in `MCPIOService._get_or_create_session()`
- Handle variable-length context manager results from MCP transport clients
- Add `DataDesigner.list_mcp_tool_names()` for discovering available tools
- Update CLI form builder and controller to support the new transport option
- Add tests for streamable_http config, session creation, and form builder
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* updates
* simplify import
* address greptile comments
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* create top-level base file
* add note
* update license header
* move exportable config and move base to config module
* update references in docs
* do not include single column config in init
* add inverse import order e2e test
Add support for capturing full conversation traces during LLM generation,
enabling debugging and fine-tuning dataset creation.
Changes:
- Add `with_trace` field to LLMTextColumnConfig for per-column trace control
- Add `debug_override_save_all_column_traces` to RunConfig for global trace
- Introduce ChatMessage dataclass for structured message representation
- Update ModelFacade.generate() to return full message trace
- Rename trace column postfix from `__reasoning_trace` to `__trace`
- Add comprehensive traces documentation
Traces capture system/user/assistant messages in order, enabling visibility
into the full generation conversation including correction retries.
* Add example notebook showing how to use image contexts
* change 101 -> tutorial
* update _README.md with info on the new tutorial
* add reference in mkdocs.yml
* simplify vlm tutorial
* update num_records on tutorials. Update .gitignore
* update readme info
* add models module to code reference
* fix links to generated ipynb
* change vlm in example tutorial to llama4-scout
