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llm: full per-agent usage logging with prompts and responses

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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.
This commit is contained in:
ProofOfConcept 2026-03-05 22:52:08 -05:00
parent e33fd4ffbc
commit 82b33c449c
7 changed files with 51 additions and 17 deletions
Download patch file Download diff file Expand all files Collapse all files

8
src/knowledge.rs
View file

@ -487,7 +487,7 @@ pub fn run_observation_extractor(store: &Store, graph: &Graph, batch_size: usize
.replace("{{TOPOLOGY}}", &topology)
.replace("{{CONVERSATIONS}}", &format!("### Session {}\n\n{}", session_id, text));
let response = llm::call_sonnet(&prompt, 600)?;
let response = llm::call_sonnet("knowledge", &prompt)?;
results.push(format!("## Session: {}\n\n{}", session_id, response));
}
Ok(results.join("\n\n---\n\n"))
@ -569,7 +569,7 @@ pub fn run_extractor(store: &Store, graph: &Graph, batch_size: usize) -> Result<
.replace("{{TOPOLOGY}}", &topology)
.replace("{{NODES}}", &node_texts.join("\n\n"));
let response = llm::call_sonnet(&prompt, 600)?;
let response = llm::call_sonnet("knowledge", &prompt)?;
results.push(format!("## Cluster {}: {}...\n\n{}", i + 1,
cluster.iter().take(3).cloned().collect::<Vec<_>>().join(", "), response));
}
@ -643,7 +643,7 @@ pub fn run_connector(store: &Store, graph: &Graph, batch_size: usize) -> Result<
.replace("{{NODES_A}}", &nodes_a.join("\n\n"))
.replace("{{NODES_B}}", &nodes_b.join("\n\n"));
let response = llm::call_sonnet(&prompt, 600)?;
let response = llm::call_sonnet("knowledge", &prompt)?;
results.push(format!("## Pair {}: {} ↔ {}\n\n{}",
i + 1, group_a.join(", "), group_b.join(", "), response));
}
@ -677,7 +677,7 @@ pub fn run_challenger(store: &Store, graph: &Graph, batch_size: usize) -> Result
.replace("{{NODE_KEY}}", key)
.replace("{{NODE_CONTENT}}", content);
let response = llm::call_sonnet(&prompt, 600)?;
let response = llm::call_sonnet("knowledge", &prompt)?;
results.push(format!("## Challenge: {}\n\n{}", key, response));
}
Ok(results.join("\n\n---\n\n"))