hippox 0.6.1

🦛A reliable, autonomous LLM runtime and skill orchestration engine, Capable of processing natural language and automatically executing OS-native atomic skills, fundamentally enabling the LLM to truly take over the computer.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138

use async_trait::async_trait;
use std::sync::Arc;

use crate::{
    DriverScheduler, FormatResult, IntentAnalysisResult, IntentParseResult, Pipeline,
    WorkflowCallback, WorkflowExecResult, WorkflowExecutor, WorkflowMode,
    prompts::{build_format_conversion_prompt, build_intent_parser_prompt},
};

/// Default implementation of Pipeline trait
#[derive(Debug, Clone, Default)]
pub(crate) struct SystemPipeline;

impl SystemPipeline {
    pub fn new() -> Self {
        Self
    }

    /// Internal: Parse raw input to extract clean intent, categories, and format
    async fn parse_intent(
        &self,
        scheduler: &DriverScheduler,
        raw_input: &str,
        task_id: &str,
    ) -> IntentParseResult {
        let prompt = build_intent_parser_prompt(raw_input);
        let response = scheduler.generate_with_task(&prompt, task_id).await;
        match response {
            Ok(resp) => {
                let json_str = crate::workflow::WorkflowExecutor::extract_json(&resp);
                match serde_json::from_str::<IntentParseResult>(&json_str) {
                    Ok(result) => result,
                    Err(e) => IntentParseResult::fallback(raw_input),
                }
            }
            Err(e) => IntentParseResult::fallback(raw_input),
        }
    }

    pub async fn execute_workflow(
        &self,
        scheduler: &DriverScheduler,
        executor: &WorkflowExecutor,
        clean_intent: &str,
        categories: &[String],
    ) -> crate::workflow::WorkflowExecutionResult {
        if categories.is_empty() {
            match scheduler.fallback_chat(clean_intent).await {
                Ok(output) => crate::workflow::WorkflowExecutionResult::CompletedWithRaw {
                    display: output.clone(),
                    raw_json: serde_json::json!({
                        "mode": "chat",
                        "result": output
                    })
                    .to_string(),
                },
                Err(e) => crate::workflow::WorkflowExecutionResult::Failed {
                    error: format!("Fallback chat failed: {}", e),
                    completed_steps: 0,
                },
            }
        } else {
            executor
                .execute_with_categories(scheduler, clean_intent, categories)
                .await
        }
    }
}

#[async_trait]
impl Pipeline for SystemPipeline {
    /// Step 1: Analyze user intent
    async fn intent_analysis(
        &self,
        scheduler: &DriverScheduler,
        raw_input: &str,
        task_id: &str,
    ) -> anyhow::Result<IntentAnalysisResult> {
        let parsed = self.parse_intent(scheduler, raw_input, task_id).await;
        Ok(IntentAnalysisResult {
            categories: parsed.skill_categories,
            clean_intent: parsed.clean_intent,
        })
    }

    /// Step 2: Core workflow execution
    async fn workflow_execution(
        &self,
        _mode: WorkflowMode,
        executor: &WorkflowExecutor,
        scheduler: &DriverScheduler,
        input: &str,
    ) -> WorkflowExecResult {
        let result = self.execute_workflow(scheduler, executor, input, &[]).await;
        let json_output = match result {
            crate::workflow::WorkflowExecutionResult::Completed(output) => output,
            crate::workflow::WorkflowExecutionResult::CompletedWithRaw { raw_json, .. } => raw_json,
            crate::workflow::WorkflowExecutionResult::Paused { partial_output, .. } => {
                partial_output
            }
            crate::workflow::WorkflowExecutionResult::Cancelled { .. } => String::new(),
            crate::workflow::WorkflowExecutionResult::Failed { error, .. } => error,
        };
        WorkflowExecResult {
            json_output,
            original_input: input.to_string(),
        }
    }

    /// Step 3: Without format specification
    async fn response_formatting(
        &self,
        scheduler: &DriverScheduler,
        original_input: &str,
        json_output: &str,
        task_id: &str,
    ) -> FormatResult {
        if json_output.is_empty() {
            return FormatResult {
                final_output: json_output.to_string(),
                was_converted: false,
            };
        }
        let prompt = build_format_conversion_prompt(original_input, json_output);
        let final_output = match scheduler.generate_with_task(&prompt, task_id).await {
            Ok(resp) => resp,
            Err(e) => {
                tracing::warn!("Response formatting failed: {}, returning original JSON", e);
                json_output.to_string()
            }
        };
        let was_converted = final_output != json_output;
        FormatResult {
            final_output,
            was_converted,
        }
    }
}