> ## Documentation Index
> Fetch the complete documentation index at: https://gofastmcp.com/llms.txt
> Use this file to discover all available pages before exploring further.
# base
# `fastmcp.prompts.base`
Base classes for FastMCP prompts.
## Classes
### `Message`
Wrapper for prompt message with auto-serialization.
Accepts any content - strings pass through, other types
(dict, list, BaseModel) are JSON-serialized to text.
**Methods:**
#### `to_mcp_prompt_message`
```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
to_mcp_prompt_message(self) -> PromptMessage
```
Convert to MCP PromptMessage.
### `PromptArgument`
An argument that can be passed to a prompt.
### `PromptResult`
Canonical result type for prompt rendering.
Provides explicit control over prompt responses: multiple messages,
roles, and metadata at both the message and result level.
**Methods:**
#### `to_mcp_prompt_result`
```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
to_mcp_prompt_result(self) -> GetPromptResult
```
Convert to MCP GetPromptResult.
### `InputRequiredPromptResult`
The full result of a single multi-round-trip prompt leg (SEP-2322).
`InputRequiredResult` is a result type, not a `tools/call` feature: any
request may resolve to one. When a prompt returns an `InputRequiredResult`
from its body to ask the client for input, that ask is the legitimate
result of this `prompts/get` — so FastMCP wraps it in this `PromptResult`
subclass, mirroring `InputRequiredToolResult`, and it flows through the
middleware chain as an ordinary return value.
Invariant: the wrapped `InputRequiredResult` is never rendered as prompt
messages. `messages` is always empty; the wire handler (`_on_get_prompt`)
reads `.input_required` and returns it to the runner.
### `Prompt`
A prompt template that can be rendered with parameters.
**Methods:**
#### `to_mcp_prompt`
```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
to_mcp_prompt(self, **overrides: Any) -> SDKPrompt
```
Convert the prompt to an MCP prompt.
#### `from_function`
```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
from_function(cls, fn: Callable[..., Any]) -> FunctionPrompt
```
Create a Prompt from a function.
The function can return:
* str: wrapped as single user Message
* list\[Message | str]: converted to list\[Message]
* PromptResult: used directly
#### `render`
```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
render(self, arguments: dict[str, Any] | None = None) -> str | list[Message | str] | PromptResult
```
Render the prompt with arguments.
Subclasses must implement this method. Return one of:
* str: Wrapped as single user Message
* list\[Message | str]: Converted to list\[Message]
* PromptResult: Used directly
#### `convert_result`
```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
convert_result(self, raw_value: Any) -> PromptResult
```
Convert a raw return value to PromptResult.
**Raises:**
* `TypeError`: for unsupported types
#### `get_span_attributes`
```python theme={"theme":{"light":"snazzy-light","dark":"dark-plus"}}
get_span_attributes(self) -> dict[str, Any]
```