logging: single output stream through caller's log closure

Pass the caller's log closure all the way through to api.rs instead
of creating a separate eprintln closure in llm.rs. Everything goes
through one stream — prompt, think blocks, tool calls with args,
tool results with content, token counts, final response.

CLI uses println (stdout), daemon uses its task log. No more split
between stdout and stderr.

Also removes the llm-log file creation from knowledge.rs — that's
the daemon's concern, not the agent runner's.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

poc-memory/src/agents/api.rs

@@ -51,7 +51,7 @@ pub async fn call_api_with_tools(
 
     let max_turns = 50;
     for turn in 0..max_turns {
-        log(&format!("API turn {} ({} messages)", turn, messages.len()));
+        log(&format!("\n=== TURN {} ({} messages) ===\n", turn, messages.len()));
 
         let (msg, usage) = client.chat_completion_stream(
             &messages,
@@ -101,7 +101,7 @@ pub async fn call_api_with_tools(
 
             // Execute each tool call
             for call in msg.tool_calls.as_ref().unwrap() {
-                log(&format!("tool: {}({})",
+                log(&format!("\nTOOL CALL: {}({})",
                     call.function.name,
                     &call.function.arguments));
 
@@ -136,7 +136,7 @@ pub async fn call_api_with_tools(
                     tools::dispatch(&call.function.name, &args, &tracker).await
                 };
 
-                log(&format!("tool result: {} chars", output.text.len()));
+                log(&format!("TOOL RESULT ({} chars):\n{}", output.text.len(), output.text));
 
                 messages.push(Message::tool_result(&call.id, &output.text));
             }
@@ -153,6 +153,7 @@ pub async fn call_api_with_tools(
             continue;
         }
 
+        log(&format!("\n=== RESPONSE ===\n\n{}", text));
         return Ok(text);
     }
 

poc-memory/src/agents/knowledge.rs

@@ -39,7 +39,7 @@ pub fn run_and_apply_with_log(
     agent_name: &str,
     batch_size: usize,
     llm_tag: &str,
-    log: &dyn Fn(&str),
+    log: &(dyn Fn(&str) + Sync),
 ) -> Result<(), String> {
     run_and_apply_excluded(store, agent_name, batch_size, llm_tag, log, &Default::default())
 }
@@ -51,7 +51,7 @@ pub fn run_and_apply_excluded(
     agent_name: &str,
     batch_size: usize,
     llm_tag: &str,
-    log: &dyn Fn(&str),
+    log: &(dyn Fn(&str) + Sync),
     exclude: &std::collections::HashSet<String>,
 ) -> Result<(), String> {
     let result = run_one_agent_excluded(store, agent_name, batch_size, llm_tag, log, false, exclude)?;
@@ -71,7 +71,7 @@ pub fn run_one_agent_with_keys(
     keys: &[String],
     count: usize,
     llm_tag: &str,
-    log: &dyn Fn(&str),
+    log: &(dyn Fn(&str) + Sync),
     debug: bool,
 ) -> Result<AgentResult, String> {
     let def = super::defs::get_def(agent_name)
@@ -99,7 +99,7 @@ pub fn run_one_agent(
     agent_name: &str,
     batch_size: usize,
     llm_tag: &str,
-    log: &dyn Fn(&str),
+    log: &(dyn Fn(&str) + Sync),
     debug: bool,
 ) -> Result<AgentResult, String> {
     run_one_agent_excluded(store, agent_name, batch_size, llm_tag, log, debug, &Default::default())
@@ -111,7 +111,7 @@ pub fn run_one_agent_excluded(
     agent_name: &str,
     batch_size: usize,
     llm_tag: &str,
-    log: &dyn Fn(&str),
+    log: &(dyn Fn(&str) + Sync),
     debug: bool,
     exclude: &std::collections::HashSet<String>,
 ) -> Result<AgentResult, String> {
@@ -131,7 +131,7 @@ fn run_one_agent_inner(
     def: &super::defs::AgentDef,
     agent_batch: super::prompts::AgentBatch,
     _llm_tag: &str,
-    log: &dyn Fn(&str),
+    log: &(dyn Fn(&str) + Sync),
     debug: bool,
 ) -> Result<AgentResult, String> {
     let prompt_kb = agent_batch.prompt.len() / 1024;
@@ -163,25 +163,10 @@ fn run_one_agent_inner(
         log(&format!("  node: {}", key));
     }
 
-    // Single log file: prompt then response
+    log(&format!("=== PROMPT ===\n\n{}\n\n=== CALLING LLM ===", agent_batch.prompt));
-    let log_dir = store::memory_dir().join("llm-logs").join(agent_name);
-    fs::create_dir_all(&log_dir).ok();
-    let log_path = log_dir.join(format!("{}.txt", store::compact_timestamp()));
-    let prompt_section = format!("=== PROMPT ===\n\n{}\n\n=== CALLING LLM ===\n", agent_batch.prompt);
-    fs::write(&log_path, &prompt_section).ok();
-    if debug { print!("{}", prompt_section); }
-    log(&format!("log: {}", log_path.display()));
 
-    log("calling LLM");
+    let output = llm::call_for_def(def, &agent_batch.prompt, log)?;
-    let output = llm::call_for_def(def, &agent_batch.prompt)?;
 
-    // Append response to same log file
-    use std::io::Write;
-    let response_section = format!("\n=== RESPONSE ===\n\n{}\n", output);
-    if let Ok(mut f) = fs::OpenOptions::new().append(true).open(&log_path) {
-        write!(f, "{}", response_section).ok();
-    }
-    if debug { print!("{}", response_section); }
     log(&format!("response {}KB", output.len() / 1024));
 
     Ok(AgentResult {

poc-memory/src/agents/llm.rs

@@ -186,18 +186,12 @@ pub(crate) fn call_haiku(agent: &str, prompt: &str) -> Result<String, String> {
 /// Call a model using an agent definition's model and tool configuration.
 /// Uses the direct API backend when api_base_url is configured,
 /// otherwise falls back to claude CLI subprocess.
-pub(crate) fn call_for_def(def: &super::defs::AgentDef, prompt: &str) -> Result<String, String> {
+pub(crate) fn call_for_def(
-    let config = crate::config::get();
+    def: &super::defs::AgentDef,
-    if config.api_base_url.is_some() {
+    prompt: &str,
-        super::daemon::log_verbose(&def.agent, "llm-backend",
+    log: &(dyn Fn(&str) + Sync),
-            &format!("API: {}", config.api_base_url.as_deref().unwrap_or("?")));
+) -> Result<String, String> {
-        let log = |msg: &str| eprintln!("[{}] {}", def.agent, msg);
+    super::api::call_api_with_tools_sync(&def.agent, prompt, log)
-        super::api::call_api_with_tools_sync(&def.agent, prompt, &log)
-    } else {
-        super::daemon::log_verbose(&def.agent, "llm-backend",
-            &format!("claude -p (model={}, tools={})", def.model, def.tools.len()));
-        call_model_with_tools(&def.agent, &def.model, prompt, &def.tools)
-    }
 }
 
 /// Parse a JSON response, handling markdown fences.

poc-memory/src/cli/agent.rs

@@ -17,12 +17,12 @@ pub fn cmd_run_agent(agent: &str, count: usize, target: &[String], query: Option
         if crate::agents::daemon::send_rpc_pub("ping").is_some() {
             return crate::agents::daemon::rpc_run_agent(agent, count);
         }
-        eprintln!("Daemon not running — falling back to local execution");
+        println!("Daemon not running — falling back to local execution");
     }
 
     // Slow path: need the store for local execution or target resolution
     let mut store = store::Store::load()?;
-    let log = |msg: &str| eprintln!("[{}] {}", agent, msg);
+    let log = |msg: &str| println!("{}", msg);
 
     // Resolve targets: explicit --target, --query, or agent's default query
     let resolved_targets: Vec<String> = if !target.is_empty() {
@@ -35,7 +35,7 @@ pub fn cmd_run_agent(agent: &str, count: usize, target: &[String], query: Option
             return Err(format!("query returned no results: {}", q));
         }
         let keys: Vec<String> = results.into_iter().map(|(k, _)| k).collect();
-        eprintln!("[{}] query matched {} nodes", agent, keys.len());
+        println!("[{}] query matched {} nodes", agent, keys.len());
         keys
     } else {
         vec![] // use agent's built-in query
@@ -45,15 +45,15 @@ pub fn cmd_run_agent(agent: &str, count: usize, target: &[String], query: Option
         // --local or daemon unavailable: run directly
         if needs_local || crate::agents::daemon::send_rpc_pub("ping").is_none() {
             if !needs_local {
-                eprintln!("Daemon not running — falling back to local execution");
+                println!("Daemon not running — falling back to local execution");
             }
             for (i, key) in resolved_targets.iter().enumerate() {
-                eprintln!("[{}] [{}/{}] {}", agent, i + 1, resolved_targets.len(), key);
+                println!("[{}] [{}/{}] {}", agent, i + 1, resolved_targets.len(), key);
                 if i > 0 { store = store::Store::load()?; }
                 if let Err(e) = crate::agents::knowledge::run_one_agent_with_keys(
                     &mut store, agent, &[key.clone()], count, "test", &log, debug,
                 ) {
-                    eprintln!("[{}] ERROR on {}: {}", agent, key, e);
+                    println!("[{}] ERROR on {}: {}", agent, key, e);
                 }
             }
             return Ok(());
@@ -67,7 +67,7 @@ pub fn cmd_run_agent(agent: &str, count: usize, target: &[String], query: Option
                 queued += 1;
             }
         }
-        eprintln!("[{}] queued {} tasks to daemon", agent, queued);
+        println!("[{}] queued {} tasks to daemon", agent, queued);
     } else {
         // Local execution (--local, --debug, dry-run, or daemon unavailable)
         crate::agents::knowledge::run_one_agent(