2026-03-05 15:30:57 -05:00
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// LLM utilities: model invocation and response parsing
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2026-03-03 17:18:18 -05:00
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//
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2026-03-05 21:15:57 -05:00
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// Calls claude CLI as a subprocess. Uses prctl(PR_SET_PDEATHSIG)
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// so child processes die when the daemon exits, preventing orphans.
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2026-03-03 17:18:18 -05:00
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use crate::store::Store;
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use regex::Regex;
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use std::fs;
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2026-03-05 21:15:57 -05:00
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use std::os::unix::process::CommandExt;
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2026-03-03 17:18:18 -05:00
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use std::process::Command;
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llm: full per-agent usage logging with prompts and responses
Log every model call to ~/.claude/memory/llm-logs/YYYY-MM-DD.md with
full prompt, response, agent type, model, duration, and status. One
file per day, markdown formatted for easy reading.
Agent types: fact-mine, experience-mine, consolidate, knowledge,
digest, enrich, audit. This gives visibility into what each agent
is doing and whether to adjust prompts or frequency.
2026-03-05 22:52:08 -05:00
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fn log_usage(agent: &str, model: &str, prompt: &str, response: &str,
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duration_ms: u128, ok: bool) {
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2026-03-05 22:54:05 -05:00
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let dir = crate::config::get().data_dir.join("llm-logs").join(agent);
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llm: full per-agent usage logging with prompts and responses
Log every model call to ~/.claude/memory/llm-logs/YYYY-MM-DD.md with
full prompt, response, agent type, model, duration, and status. One
file per day, markdown formatted for easy reading.
Agent types: fact-mine, experience-mine, consolidate, knowledge,
digest, enrich, audit. This gives visibility into what each agent
is doing and whether to adjust prompts or frequency.
2026-03-05 22:52:08 -05:00
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let _ = fs::create_dir_all(&dir);
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let date = chrono::Local::now().format("%Y-%m-%d");
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let path = dir.join(format!("{}.md", date));
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let ts = chrono::Local::now().format("%H:%M:%S");
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let status = if ok { "ok" } else { "ERROR" };
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let entry = format!(
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"\n## {} — {} ({}, {:.1}s, {})\n\n\
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### Prompt ({} chars)\n\n\
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```\n{}\n```\n\n\
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### Response ({} chars)\n\n\
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```\n{}\n```\n\n---\n",
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ts, agent, model, duration_ms as f64 / 1000.0, status,
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prompt.len(), prompt,
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response.len(), response,
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);
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use std::io::Write;
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if let Ok(mut f) = fs::OpenOptions::new().create(true).append(true).open(&path) {
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let _ = f.write_all(entry.as_bytes());
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}
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}
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2026-03-05 15:30:57 -05:00
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/// Call a model via claude CLI. Returns the response text.
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///
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/// Sets PR_SET_PDEATHSIG on the child so it gets SIGTERM if the
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/// parent daemon exits — no more orphaned claude processes.
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llm: full per-agent usage logging with prompts and responses
Log every model call to ~/.claude/memory/llm-logs/YYYY-MM-DD.md with
full prompt, response, agent type, model, duration, and status. One
file per day, markdown formatted for easy reading.
Agent types: fact-mine, experience-mine, consolidate, knowledge,
digest, enrich, audit. This gives visibility into what each agent
is doing and whether to adjust prompts or frequency.
2026-03-05 22:52:08 -05:00
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fn call_model(agent: &str, model: &str, prompt: &str) -> Result<String, String> {
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// Write prompt to temp file (claude CLI needs file input for large prompts)
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let tmp = std::env::temp_dir().join(format!("poc-llm-{}-{:?}.txt",
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std::process::id(), std::thread::current().id()));
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fs::write(&tmp, prompt)
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.map_err(|e| format!("write temp prompt: {}", e))?;
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2026-03-05 22:28:39 -05:00
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let mut cmd = Command::new("claude");
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cmd.args(["-p", "--model", model, "--tools", "", "--no-session-persistence"])
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.stdin(fs::File::open(&tmp).map_err(|e| format!("open temp: {}", e))?)
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.env_remove("CLAUDECODE");
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2026-03-05 22:43:50 -05:00
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// Use separate OAuth credentials for agent work if configured
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if let Some(ref dir) = crate::config::get().agent_config_dir {
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cmd.env("CLAUDE_CONFIG_DIR", dir);
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}
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2026-03-05 22:58:40 -05:00
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let start = std::time::Instant::now();
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let result = unsafe {
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cmd.pre_exec(|| {
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libc::prctl(libc::PR_SET_PDEATHSIG, libc::SIGTERM);
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Ok(())
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})
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.output()
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};
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2026-03-03 17:18:18 -05:00
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fs::remove_file(&tmp).ok();
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match result {
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Ok(output) => {
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llm: full per-agent usage logging with prompts and responses
Log every model call to ~/.claude/memory/llm-logs/YYYY-MM-DD.md with
full prompt, response, agent type, model, duration, and status. One
file per day, markdown formatted for easy reading.
Agent types: fact-mine, experience-mine, consolidate, knowledge,
digest, enrich, audit. This gives visibility into what each agent
is doing and whether to adjust prompts or frequency.
2026-03-05 22:52:08 -05:00
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let elapsed = start.elapsed().as_millis();
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2026-03-03 17:18:18 -05:00
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if output.status.success() {
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llm: full per-agent usage logging with prompts and responses
Log every model call to ~/.claude/memory/llm-logs/YYYY-MM-DD.md with
full prompt, response, agent type, model, duration, and status. One
file per day, markdown formatted for easy reading.
Agent types: fact-mine, experience-mine, consolidate, knowledge,
digest, enrich, audit. This gives visibility into what each agent
is doing and whether to adjust prompts or frequency.
2026-03-05 22:52:08 -05:00
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let response = String::from_utf8_lossy(&output.stdout).trim().to_string();
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log_usage(agent, model, prompt, &response, elapsed, true);
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Ok(response)
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} else {
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let stderr = String::from_utf8_lossy(&output.stderr);
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2026-03-05 21:15:57 -05:00
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let preview: String = stderr.chars().take(500).collect();
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llm: full per-agent usage logging with prompts and responses
Log every model call to ~/.claude/memory/llm-logs/YYYY-MM-DD.md with
full prompt, response, agent type, model, duration, and status. One
file per day, markdown formatted for easy reading.
Agent types: fact-mine, experience-mine, consolidate, knowledge,
digest, enrich, audit. This gives visibility into what each agent
is doing and whether to adjust prompts or frequency.
2026-03-05 22:52:08 -05:00
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log_usage(agent, model, prompt, &preview, elapsed, false);
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Err(format!("claude exited {}: {}", output.status, preview.trim()))
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}
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}
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Err(e) => Err(format!("spawn claude: {}", e)),
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}
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}
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2026-03-05 15:30:57 -05:00
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/// Call Sonnet via claude CLI.
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llm: full per-agent usage logging with prompts and responses
Log every model call to ~/.claude/memory/llm-logs/YYYY-MM-DD.md with
full prompt, response, agent type, model, duration, and status. One
file per day, markdown formatted for easy reading.
Agent types: fact-mine, experience-mine, consolidate, knowledge,
digest, enrich, audit. This gives visibility into what each agent
is doing and whether to adjust prompts or frequency.
2026-03-05 22:52:08 -05:00
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pub(crate) fn call_sonnet(agent: &str, prompt: &str) -> Result<String, String> {
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call_model(agent, "sonnet", prompt)
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}
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/// Call Haiku via claude CLI (cheaper, faster — good for high-volume extraction).
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llm: full per-agent usage logging with prompts and responses
Log every model call to ~/.claude/memory/llm-logs/YYYY-MM-DD.md with
full prompt, response, agent type, model, duration, and status. One
file per day, markdown formatted for easy reading.
Agent types: fact-mine, experience-mine, consolidate, knowledge,
digest, enrich, audit. This gives visibility into what each agent
is doing and whether to adjust prompts or frequency.
2026-03-05 22:52:08 -05:00
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pub(crate) fn call_haiku(agent: &str, prompt: &str) -> Result<String, String> {
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call_model(agent, "haiku", prompt)
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}
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/// Parse a JSON response, handling markdown fences.
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pub(crate) fn parse_json_response(response: &str) -> Result<serde_json::Value, String> {
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let cleaned = response.trim();
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let cleaned = cleaned.strip_prefix("```json").unwrap_or(cleaned);
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let cleaned = cleaned.strip_prefix("```").unwrap_or(cleaned);
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let cleaned = cleaned.strip_suffix("```").unwrap_or(cleaned);
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let cleaned = cleaned.trim();
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if let Ok(v) = serde_json::from_str(cleaned) {
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return Ok(v);
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}
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// Try to find JSON object or array
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let re_obj = Regex::new(r"\{[\s\S]*\}").unwrap();
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let re_arr = Regex::new(r"\[[\s\S]*\]").unwrap();
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if let Some(m) = re_obj.find(cleaned) {
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if let Ok(v) = serde_json::from_str(m.as_str()) {
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return Ok(v);
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}
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}
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if let Some(m) = re_arr.find(cleaned) {
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if let Ok(v) = serde_json::from_str(m.as_str()) {
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return Ok(v);
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}
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}
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2026-03-05 21:15:57 -05:00
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let preview: String = cleaned.chars().take(200).collect();
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Err(format!("no valid JSON in response: {preview}..."))
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}
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/// Get semantic keys (non-journal, non-system) for prompt context.
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pub(crate) fn semantic_keys(store: &Store) -> Vec<String> {
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let mut keys: Vec<String> = store.nodes.keys()
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.filter(|k| {
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!k.starts_with("journal.md#")
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&& *k != "journal.md"
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&& *k != "MEMORY.md"
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&& *k != "where-am-i.md"
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&& *k != "work-queue.md"
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&& *k != "work-state"
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})
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.cloned()
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.collect();
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keys.sort();
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keys.truncate(200);
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keys
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}
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