systemprompt_cli/commands/infrastructure/logs/request/
mod.rs1mod list;
7mod show;
8mod stats;
9
10use anyhow::Result;
11use clap::Subcommand;
12use schemars::JsonSchema;
13use serde::{Deserialize, Serialize};
14
15use super::types::{MessageRow, ToolCallRow};
16use crate::context::CommandContext;
17use crate::shared::{CommandOutput, render_result};
18use systemprompt_models::artifacts::NoticeLine;
19
20pub use stats::{RequestStatsOutput, build_request_stats};
21
22const REQUEST_LIST_COLUMNS: [&str; 8] = [
23 "request_id",
24 "timestamp",
25 "provider",
26 "model",
27 "tokens",
28 "cost",
29 "latency_ms",
30 "status",
31];
32
33#[must_use]
34pub fn build_request_list(rows: &[RequestListRow]) -> CommandOutput {
35 if rows.is_empty() {
36 return CommandOutput::message(vec![NoticeLine::new("info", "No AI requests found")]);
37 }
38 CommandOutput::table_of(REQUEST_LIST_COLUMNS.to_vec(), rows).with_title("AI Requests")
39}
40
41#[must_use]
42pub fn build_request_show(detail: &RequestShowOutput) -> CommandOutput {
43 CommandOutput::card_value("AI Request Details", detail)
44}
45
46#[must_use]
47pub fn request_show_not_found(request_id: &str) -> CommandOutput {
48 CommandOutput::message(vec![
49 NoticeLine::new("warning", format!("AI request not found: {request_id}")),
50 NoticeLine::new(
51 "info",
52 "Tip: Use 'systemprompt infra logs request list' to see recent requests",
53 ),
54 ])
55}
56
57#[derive(Debug, Subcommand)]
58pub enum RequestCommands {
59 #[command(
60 about = "Operational list of recent AI requests. For dashboard metrics (time range, model filter, CSV export), use `analytics requests list`",
61 after_help = "EXAMPLES:\n systemprompt infra logs request list\n systemprompt infra \
62 logs request list --model gpt-4 --since 1h"
63 )]
64 List(list::ListArgs),
65
66 #[command(
67 about = "Quick single-request view by request id (messages, linked MCP calls, status/error)",
68 after_help = "EXAMPLES:\n systemprompt infra logs request show abc123\n systemprompt \
69 infra logs request show abc123 --messages --tools"
70 )]
71 Show(show::ShowArgs),
72
73 #[command(
74 about = "Operational request aggregate with by-provider / by-model breakdown. For range/model-filtered dashboards with export, use `analytics requests stats`",
75 after_help = "EXAMPLES:\n systemprompt infra logs request stats\n systemprompt infra \
76 logs request stats --since 24h"
77 )]
78 Stats(stats::StatsArgs),
79}
80
81#[derive(Debug, Clone, Serialize, Deserialize, JsonSchema)]
82pub struct RequestListRow {
83 pub request_id: String,
84 pub timestamp: String,
85 pub provider: String,
86 pub model: String,
87 pub tokens: String,
88 pub cost: String,
89 #[serde(skip_serializing_if = "Option::is_none")]
90 pub latency_ms: Option<i64>,
91 pub status: String,
92}
93
94#[derive(Debug, Clone, Serialize, Deserialize, JsonSchema)]
95pub struct RequestShowOutput {
96 pub request_id: String,
97 pub provider: String,
98 pub model: String,
99 pub input_tokens: i32,
100 pub output_tokens: i32,
101 pub cost_dollars: f64,
102 pub latency_ms: i64,
103 pub status: String,
104 #[serde(skip_serializing_if = "Option::is_none")]
105 pub error_message: Option<String>,
106 pub messages: Vec<MessageRow>,
107 pub linked_mcp_calls: Vec<ToolCallRow>,
108}
109
110pub async fn execute(command: RequestCommands, ctx: &CommandContext) -> Result<()> {
111 match command {
112 RequestCommands::List(args) => {
113 let result = list::execute(args, ctx).await?;
114 render_result(&result, &ctx.cli);
115 Ok(())
116 },
117 RequestCommands::Show(args) => {
118 let result = show::execute(args, ctx).await?;
119 render_result(&result, &ctx.cli);
120 Ok(())
121 },
122 RequestCommands::Stats(args) => stats::execute(args, ctx).await,
123 }
124}