* fix: elicitation scalar return, resource auto-serialization, Client.new() state, prompt errors
- Auto-wrap scalar elicitation responses for ScalarElicitationType schemas
so handlers can return T directly for ctx.elicit("msg", str/int/float)
- Auto-serialize dict/int/float/bool/None resource returns to JSON text
instead of crashing with TypeError
- Reset _task_registry and _submitted_task_ids in Client.new() so cloned
clients have independent task tracking state
- Include original error message in prompt render errors (matching tool
error behavior)
Fixes#3856
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Fix misleading comment and add list/tuple auto-serialization for resources
The comment said "list/tuple of primitives" but the isinstance check
didn't include list or tuple. Now it does, and the comment matches.
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Fix TaskNotificationHandler binding in Client.new() and meta forwarding for JSON resources
Two review-identified bugs:
1. Client.new() shallow-copies _session_kwargs, so the cloned client's
TaskNotificationHandler still dispatches to the original client.
Fix: create a fresh _session_kwargs dict with a new handler bound
to the new client.
2. convert_result() for dict/int/float/bool/None fell through to
ResourceResult(raw_value) which lost component meta (CSP, permissions).
The str/bytes path correctly wrapped in ResourceContent with meta.
Fix: explicitly serialize JSON-native types and wrap with meta,
matching the str/bytes path. Other types still fall through for
error handling.
🤖 Generated with Claude Code
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Preserve custom message handlers in Client.new()
Only replace the message handler with a new TaskNotificationHandler
if the current handler IS a TaskNotificationHandler. If the user
provided a custom message_handler, preserve it in the clone.
🤖 Generated with Claude Code
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix client.new and add regression tests
* Honor declared MIME type for auto-serialized JSON resources
* Fix static analysis: remove unused StdioTransport import, fix ty:ignore comment
* Exclude list[ResourceContent] from JSON auto-serialization path
A bare list[ResourceContent] would match the isinstance(list) check
and get JSON-serialized instead of passing through to ResourceResult
normalization. Check for ResourceContent items first.
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* pin pydantic-monty to 0.0.8
* rename tool/prompt/resource base modules to avoid decorator name shadow
* add sys.modules shims for old submodule import paths
* preserve original module paths in deprecation warnings
* clarify when sys.modules shims can be removed
Message.content now accepts ImageContent and AudioContent in addition to
TextContent and EmbeddedResource, matching MCP's ContentBlock type. This
fixes ProxyPrompt.render() silently JSON-serializing image/audio content
instead of preserving it.
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Replace type: ignore[attr-defined] with isinstance assertions in tests
* Fix isinstance assertions in failing tests
- Fix enum test to check for ResponseEnum instead of str
- Fix binary resource test to check for BlobResourceContents instead of TextResourceContents
- Fix Root type tests to check attributes directly instead of isinstance checks
* Fix type errors without using type: ignore
- Remove execution methods from TransformingProvider (only handles transformations)
- Add execution methods to base Provider class with default implementations
- Fix type narrowing in tests using cast() instead of type: ignore
- Fix PromptResult type handling in prompt render tests
- Fix type narrowing in middleware test for arguments and structured_content
* Add supports_tasks() method to replace string mode checks
Consolidates task config mode checks into a readable method on TaskConfig.
Instead of `task_config.mode == "forbidden"` or `task_config.mode != "forbidden"`,
code now uses `task_config.supports_tasks()` for clearer intent.
Updated 20 instances across the codebase and added type assertions in tests
to resolve type checker warnings.
* Update test to match new error message
* feat: add PromptResult as canonical internal type for prompts
Applies the same pattern as ResourceContent to prompts. PromptResult
wraps messages with description and meta. Public render() can return
either list[PromptMessage] or PromptResult (backwards compatible),
while private _render() always returns PromptResult.
* docs: fix incorrect PromptResult return type in example
* feat: add PromptResult canonical type with meta support
* fix: address PR #2600 review comments
Fixes test failures and code quality issues identified in PR review:
- Update 3 tests in test_server_interactions.py to access PromptResult.messages[0] instead of indexing directly
- Fix ProxyPromptManager to preserve meta field when converting GetPromptResult to PromptResult
- Fix ProxyPrompt.render() to return PromptResult instead of deprecated list[PromptMessage], preventing fastmcp tags from leaking into runtime meta
- Fix mask_error_details initialization to respect explicit False values
- Fix exception re-raising to preserve tracebacks (use bare raise instead of raise e)
- Update testing documentation to use pytest -n auto for parallel execution
Follow-up to PR #2563 which fixed the signature handling in
create_function_without_params. These tests ensure the fix
works end-to-end for all object types that support Context injection.
Implements comprehensive notification system for tools, resources, and prompts with automatic client updates and flexible message handlers.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add proper null checks and type assertions for prompt argument
handling in tests to satisfy pyright strict typing.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Change from 'Arguments must be strings conforming to this JSON schema'
to 'Provide as a JSON string matching the following schema' for clearer
instruction to LLMs about string format requirements.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix ValueError -> PromptError for consistent error handling
- Add automatic JSON schema descriptions to non-string prompt arguments
- Include comprehensive tests for argument description enhancement
- Verify enhanced descriptions are visible via MCP protocol
This helps developers understand the expected string format for complex
types when calling prompts from MCP clients.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Updated FunctionPrompt.render() to accept dict[str, Any] instead of
dict[str, str | Context] to preserve the developer experience of
passing properly typed arguments while also supporting string-only
arguments from MCP clients.
The _convert_string_arguments method now intelligently handles both
scenarios:
- Already-typed arguments are passed through unchanged
- String arguments are converted to expected types when needed
This maintains backward compatibility while enabling MCP spec compliance.
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Co-Authored-By: Claude <noreply@anthropic.com>
Attempting to subclass and monkeypatch was becoming too difficult; inflexibility between low-level types and the requirements of new high-level APIs requires the potential for breaking changes, even if they don't face users.
