llm_toolkit/
prompt.rs

1//! A trait and macros for powerful, type-safe prompt generation.
2
3use minijinja::Environment;
4use serde::Serialize;
5
6/// Represents a part of a multimodal prompt.
7///
8/// This enum allows prompts to contain different types of content,
9/// such as text and images, enabling multimodal LLM interactions.
10#[derive(Debug, Clone)]
11pub enum PromptPart {
12    /// Text content in the prompt.
13    Text(String),
14    /// Image content with media type and binary data.
15    Image {
16        /// The MIME media type (e.g., "image/jpeg", "image/png").
17        media_type: String,
18        /// The raw image data.
19        data: Vec<u8>,
20    },
21    // Future variants like Audio or Video can be added here
22}
23
24/// A trait for converting any type into a string suitable for an LLM prompt.
25///
26/// This trait provides a standard interface for converting various types
27/// into strings that can be used as prompts for language models.
28///
29/// # Example
30///
31/// ```
32/// use llm_toolkit::prompt::ToPrompt;
33///
34/// // Common types have ToPrompt implementations
35/// let number = 42;
36/// assert_eq!(number.to_prompt(), "42");
37///
38/// let text = "Hello, LLM!";
39/// assert_eq!(text.to_prompt(), "Hello, LLM!");
40/// ```
41///
42/// # Custom Implementation
43///
44/// You can also implement `ToPrompt` directly for your own types:
45///
46/// ```
47/// use llm_toolkit::prompt::{ToPrompt, PromptPart};
48/// use std::fmt;
49///
50/// struct CustomType {
51///     value: String,
52/// }
53///
54/// impl fmt::Display for CustomType {
55///     fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
56///         write!(f, "{}", self.value)
57///     }
58/// }
59///
60/// // By implementing ToPrompt directly, you can control the conversion.
61/// impl ToPrompt for CustomType {
62///     fn to_prompt_parts(&self) -> Vec<PromptPart> {
63///         vec![PromptPart::Text(self.to_string())]
64///     }
65///
66///     fn to_prompt(&self) -> String {
67///         self.to_string()
68///     }
69/// }
70///
71/// let custom = CustomType { value: "custom".to_string() };
72/// assert_eq!(custom.to_prompt(), "custom");
73/// ```
74pub trait ToPrompt {
75    /// Converts the object into a vector of `PromptPart`s based on a mode.
76    ///
77    /// This is the core method that `derive(ToPrompt)` will implement.
78    /// The `mode` argument allows for different prompt representations, such as:
79    /// - "full": A comprehensive prompt with schema and examples.
80    /// - "schema_only": Just the data structure's schema.
81    /// - "example_only": Just a concrete example.
82    ///
83    /// The default implementation ignores the mode and calls `to_prompt_parts`
84    /// for backward compatibility with manual implementations.
85    fn to_prompt_parts_with_mode(&self, mode: &str) -> Vec<PromptPart> {
86        // Default implementation for backward compatibility
87        let _ = mode; // Unused in default impl
88        self.to_prompt_parts()
89    }
90
91    /// Converts the object into a prompt string based on a mode.
92    ///
93    /// This method extracts only the text portions from `to_prompt_parts_with_mode()`.
94    fn to_prompt_with_mode(&self, mode: &str) -> String {
95        self.to_prompt_parts_with_mode(mode)
96            .iter()
97            .filter_map(|part| match part {
98                PromptPart::Text(text) => Some(text.as_str()),
99                _ => None,
100            })
101            .collect::<Vec<_>>()
102            .join("")
103    }
104
105    /// Converts the object into a vector of `PromptPart`s using the default "full" mode.
106    ///
107    /// This method enables multimodal prompt generation by returning
108    /// a collection of prompt parts that can include text, images, and
109    /// other media types.
110    fn to_prompt_parts(&self) -> Vec<PromptPart> {
111        self.to_prompt_parts_with_mode("full")
112    }
113
114    /// Converts the object into a prompt string using the default "full" mode.
115    ///
116    /// This method provides backward compatibility by extracting only
117    /// the text portions from `to_prompt_parts()` and joining them.
118    fn to_prompt(&self) -> String {
119        self.to_prompt_with_mode("full")
120    }
121
122    /// Returns a schema-level prompt for the type itself.
123    ///
124    /// For enums, this returns all possible variants with their descriptions.
125    /// For structs, this returns the field schema.
126    ///
127    /// Unlike instance methods like `to_prompt()`, this is a type-level method
128    /// that doesn't require an instance.
129    ///
130    /// # Examples
131    ///
132    /// ```ignore
133    /// // Enum: get all variants
134    /// let schema = MyEnum::prompt_schema();
135    ///
136    /// // Struct: get field schema
137    /// let schema = MyStruct::prompt_schema();
138    /// ```
139    fn prompt_schema() -> String {
140        String::new() // Default implementation returns empty string
141    }
142}
143
144// Add implementations for common types
145
146impl ToPrompt for String {
147    fn to_prompt_parts(&self) -> Vec<PromptPart> {
148        vec![PromptPart::Text(self.clone())]
149    }
150
151    fn to_prompt(&self) -> String {
152        self.clone()
153    }
154}
155
156impl ToPrompt for &str {
157    fn to_prompt_parts(&self) -> Vec<PromptPart> {
158        vec![PromptPart::Text(self.to_string())]
159    }
160
161    fn to_prompt(&self) -> String {
162        self.to_string()
163    }
164}
165
166impl ToPrompt for bool {
167    fn to_prompt_parts(&self) -> Vec<PromptPart> {
168        vec![PromptPart::Text(self.to_string())]
169    }
170
171    fn to_prompt(&self) -> String {
172        self.to_string()
173    }
174}
175
176impl ToPrompt for char {
177    fn to_prompt_parts(&self) -> Vec<PromptPart> {
178        vec![PromptPart::Text(self.to_string())]
179    }
180
181    fn to_prompt(&self) -> String {
182        self.to_string()
183    }
184}
185
186macro_rules! impl_to_prompt_for_numbers {
187    ($($t:ty),*) => {
188        $(
189            impl ToPrompt for $t {
190                fn to_prompt_parts(&self) -> Vec<PromptPart> {
191                    vec![PromptPart::Text(self.to_string())]
192                }
193
194                fn to_prompt(&self) -> String {
195                    self.to_string()
196                }
197            }
198        )*
199    };
200}
201
202impl_to_prompt_for_numbers!(
203    i8, i16, i32, i64, i128, isize, u8, u16, u32, u64, u128, usize, f32, f64
204);
205
206/// Renders a prompt from a template string and a serializable context.
207///
208/// This is the underlying function for the `prompt!` macro.
209pub fn render_prompt<T: Serialize>(template: &str, context: T) -> Result<String, minijinja::Error> {
210    let mut env = Environment::new();
211    env.add_template("prompt", template)?;
212    let tmpl = env.get_template("prompt")?;
213    tmpl.render(context)
214}
215
216/// Creates a prompt string from a template and key-value pairs.
217///
218/// This macro provides a `println!`-like experience for building prompts
219/// from various data sources. It leverages `minijinja` for templating.
220///
221/// # Example
222///
223/// ```
224/// use llm_toolkit::prompt;
225/// use serde::Serialize;
226///
227/// #[derive(Serialize)]
228/// struct User {
229///     name: &'static str,
230///     role: &'static str,
231/// }
232///
233/// let user = User { name: "Mai", role: "UX Engineer" };
234/// let task = "designing a new macro";
235///
236/// let p = prompt!(
237///     "User {{user.name}} ({{user.role}}) is currently {{task}}.",
238///     user = user,
239///     task = task
240/// ).unwrap();
241///
242/// assert_eq!(p, "User Mai (UX Engineer) is currently designing a new macro.");
243/// ```
244#[macro_export]
245macro_rules! prompt {
246    ($template:expr, $($key:ident = $value:expr),* $(,)?) => {
247        $crate::prompt::render_prompt($template, minijinja::context!($($key => $value),*))
248    };
249}
250
251#[cfg(test)]
252mod tests {
253    use super::*;
254    use serde::Serialize;
255    use std::fmt::Display;
256
257    enum TestEnum {
258        VariantA,
259        VariantB,
260    }
261
262    impl Display for TestEnum {
263        fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
264            match self {
265                TestEnum::VariantA => write!(f, "Variant A"),
266                TestEnum::VariantB => write!(f, "Variant B"),
267            }
268        }
269    }
270
271    impl ToPrompt for TestEnum {
272        fn to_prompt_parts(&self) -> Vec<PromptPart> {
273            vec![PromptPart::Text(self.to_string())]
274        }
275
276        fn to_prompt(&self) -> String {
277            self.to_string()
278        }
279    }
280
281    #[test]
282    fn test_to_prompt_for_enum() {
283        let variant = TestEnum::VariantA;
284        assert_eq!(variant.to_prompt(), "Variant A");
285    }
286
287    #[test]
288    fn test_to_prompt_for_enum_variant_b() {
289        let variant = TestEnum::VariantB;
290        assert_eq!(variant.to_prompt(), "Variant B");
291    }
292
293    #[test]
294    fn test_to_prompt_for_string() {
295        let s = "hello world";
296        assert_eq!(s.to_prompt(), "hello world");
297    }
298
299    #[test]
300    fn test_to_prompt_for_number() {
301        let n = 42;
302        assert_eq!(n.to_prompt(), "42");
303    }
304
305    #[derive(Serialize)]
306    struct SystemInfo {
307        version: &'static str,
308        os: &'static str,
309    }
310
311    #[test]
312    fn test_prompt_macro_simple() {
313        let user = "Yui";
314        let task = "implementation";
315        let prompt = prompt!(
316            "User {{user}} is working on the {{task}}.",
317            user = user,
318            task = task
319        )
320        .unwrap();
321        assert_eq!(prompt, "User Yui is working on the implementation.");
322    }
323
324    #[test]
325    fn test_prompt_macro_with_struct() {
326        let sys = SystemInfo {
327            version: "0.1.0",
328            os: "Rust",
329        };
330        let prompt = prompt!("System: {{sys.version}} on {{sys.os}}", sys = sys).unwrap();
331        assert_eq!(prompt, "System: 0.1.0 on Rust");
332    }
333
334    #[test]
335    fn test_prompt_macro_mixed() {
336        let user = "Mai";
337        let sys = SystemInfo {
338            version: "0.1.0",
339            os: "Rust",
340        };
341        let prompt = prompt!(
342            "User {{user}} is using {{sys.os}} v{{sys.version}}.",
343            user = user,
344            sys = sys
345        )
346        .unwrap();
347        assert_eq!(prompt, "User Mai is using Rust v0.1.0.");
348    }
349
350    #[test]
351    fn test_prompt_macro_no_args() {
352        let prompt = prompt!("This is a static prompt.",).unwrap();
353        assert_eq!(prompt, "This is a static prompt.");
354    }
355}
356
357#[derive(Debug, thiserror::Error)]
358pub enum PromptSetError {
359    #[error("Target '{target}' not found. Available targets: {available:?}")]
360    TargetNotFound {
361        target: String,
362        available: Vec<String>,
363    },
364    #[error("Failed to render prompt for target '{target}': {source}")]
365    RenderFailed {
366        target: String,
367        source: minijinja::Error,
368    },
369}
370
371/// A trait for types that can generate multiple named prompt targets.
372///
373/// This trait enables a single data structure to produce different prompt formats
374/// for various use cases (e.g., human-readable vs. machine-parsable formats).
375///
376/// # Example
377///
378/// ```ignore
379/// use llm_toolkit::prompt::{ToPromptSet, PromptPart};
380/// use serde::Serialize;
381///
382/// #[derive(ToPromptSet, Serialize)]
383/// #[prompt_for(name = "Visual", template = "## {{title}}\n\n> {{description}}")]
384/// struct Task {
385///     title: String,
386///     description: String,
387///
388///     #[prompt_for(name = "Agent")]
389///     priority: u8,
390///
391///     #[prompt_for(name = "Agent", rename = "internal_id")]
392///     id: u64,
393///
394///     #[prompt_for(skip)]
395///     is_dirty: bool,
396/// }
397///
398/// let task = Task {
399///     title: "Implement feature".to_string(),
400///     description: "Add new functionality".to_string(),
401///     priority: 1,
402///     id: 42,
403///     is_dirty: false,
404/// };
405///
406/// // Generate visual prompt
407/// let visual_prompt = task.to_prompt_for("Visual")?;
408///
409/// // Generate agent prompt
410/// let agent_prompt = task.to_prompt_for("Agent")?;
411/// ```
412pub trait ToPromptSet {
413    /// Generates multimodal prompt parts for the specified target.
414    fn to_prompt_parts_for(&self, target: &str) -> Result<Vec<PromptPart>, PromptSetError>;
415
416    /// Generates a text prompt for the specified target.
417    ///
418    /// This method extracts only the text portions from `to_prompt_parts_for()`
419    /// and joins them together.
420    fn to_prompt_for(&self, target: &str) -> Result<String, PromptSetError> {
421        let parts = self.to_prompt_parts_for(target)?;
422        let text = parts
423            .iter()
424            .filter_map(|part| match part {
425                PromptPart::Text(text) => Some(text.as_str()),
426                _ => None,
427            })
428            .collect::<Vec<_>>()
429            .join("\n");
430        Ok(text)
431    }
432}
433
434/// A trait for generating a prompt for a specific target type.
435///
436/// This allows a type (e.g., a `Tool`) to define how it should be represented
437/// in a prompt when provided with a target context (e.g., an `Agent`).
438pub trait ToPromptFor<T> {
439    /// Generates a prompt for the given target, using a specific mode.
440    fn to_prompt_for_with_mode(&self, target: &T, mode: &str) -> String;
441
442    /// Generates a prompt for the given target using the default "full" mode.
443    ///
444    /// This method provides backward compatibility by calling the `_with_mode`
445    /// variant with a default mode.
446    fn to_prompt_for(&self, target: &T) -> String {
447        self.to_prompt_for_with_mode(target, "full")
448    }
449}