Initial public release of Warp.
Repo-Sync-Origin: warpdotdev/warp-internal@12af1d983b
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#[cfg(feature = "fasttext")]
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mod fasttext;
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mod heuristic_classifier;
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mod input_type;
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#[cfg(feature = "onnx")]
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mod onnx;
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mod parser;
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pub mod test_utils;
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pub mod util;
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use async_trait::async_trait;
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#[cfg(feature = "fasttext")]
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pub use fasttext::FasttextClassifier;
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pub use heuristic_classifier::HeuristicClassifier;
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pub use input_type::InputType;
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#[cfg(feature = "onnx")]
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pub use onnx::{Model as OnnxModel, OnnxClassifier};
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/// An input classifier, which can take some parsed user input and determine
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/// what type of input it is.
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#[cfg_attr(not(target_family = "wasm"), async_trait)]
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#[cfg_attr(target_family = "wasm", async_trait(?Send))]
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pub trait InputClassifier: 'static + Send + Sync {
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async fn detect_input_type(
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&self,
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input: warp_completer::ParsedTokensSnapshot,
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context: &Context,
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) -> InputType;
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async fn classify_input(
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&self,
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input: warp_completer::ParsedTokensSnapshot,
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context: &Context,
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) -> anyhow::Result<ClassificationResult>;
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}
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/// The result of running inference on some user input.
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pub struct ClassificationResult {
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/// The probability that the input is a shell command.
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p_shell: f32,
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/// The probability that the input is a natural language query to AI.
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p_ai: f32,
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}
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impl ClassificationResult {
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fn pure_ai() -> Self {
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Self {
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p_shell: 0.0,
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p_ai: 1.0,
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}
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}
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fn pure_shell() -> Self {
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Self {
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p_shell: 1.0,
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p_ai: 0.0,
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}
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}
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pub fn p_shell(&self) -> f32 {
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self.p_shell
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}
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pub fn p_ai(&self) -> f32 {
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self.p_ai
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}
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/// Returns the confidence score (0.0 to 1.0) as the maximum of the two probabilities
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pub fn confidence(&self) -> f32 {
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self.p_shell.max(self.p_ai)
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}
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pub fn to_input_type(&self) -> InputType {
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if self.p_shell > self.p_ai {
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InputType::Shell
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} else {
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InputType::AI
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}
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}
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}
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/// Context for the classifier.
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pub struct Context {
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/// The current input type.
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pub current_input_type: InputType,
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/// Whether or not the input is a follow-up to an agent query.
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pub is_agent_follow_up: bool,
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}
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