update

README_tools.md

@@ -151,7 +151,7 @@ result = getTime_tool.execute("call-1", Dict("city" => "Tokyo"), sig, op)
 
 **Via agent loop (production):**
 ```
-user message → run_agent(agent, Dict("role"=>"user", "content"=>...))
+user message → runAgent(agent, Dict("role"=>"user", "content"=>...))
   → _agent_loop detects message → @spawn _process_message(agent)
     → prepareContext → formatMsgForLLM → llmCall
       → LLM returns tool_calls
@@ -382,9 +382,9 @@ The `_agent_loop()` function runs as a background `@spawn` task, created when `y
 
 ```
 yiemAgent struct contains:
-  - inputChannel (Channel, capacity 16)   ← user sends messages here via run_agent()
-  - followUpChannel (Channel, capacity 32) ← user sends follow-ups here via follow_up()
-  - outputChannel (Channel, capacity 16)   ← agent sends responses here via take_response()
+  - inputChannel (Channel, capacity 16)   ← user sends messages here via runAgent()
+  - followUpChannel (Channel, capacity 32) ← user sends follow-ups here via followUp()
+  - outputChannel (Channel, capacity 16)   ← agent sends responses here via takeResponse()
   - _tool_store (toolStore)                ← per-agent isolated tool registry
 ```
 
@@ -1327,7 +1327,7 @@ Each `toolStore` gets its own `listTool` instance bound to that store via `listT
 
 ```
 USER SENDS MESSAGE
-  └─> run_agent(agent, "What's the weather in Tokyo?")
+  └─> runAgent(agent, "What's the weather in Tokyo?")
        └─> put!(agent.inputChannel, Dict("role" => "user", "content" => [...]))
 
 
@@ -1430,7 +1430,7 @@ LOOP ITERATION 2 — LLM RETURNS FINAL TEXT RESPONSE
 
 AGENT LOOP: SEND RESPONSE TO USER
   └─> put!(agent.outputChannel, final_response)
-  └─> take_response(agent) → assistantMessage("The weather in Tokyo is sunny, 22°C.")
+  └─> takeResponse(agent) → assistantMessage("The weather in Tokyo is sunny, 22°C.")
 ```
 
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