update

text message process works
2026-08-16 20:14:54 +07:00 · 2026-08-16 18:25:26 +07:00 · 2026-08-16 17:24:29 +07:00 · 2026-08-16 13:36:01 +07:00 · 2026-08-15 20:03:01 +07:00 · 2026-08-15 16:50:28 +07:00
19 changed files with 2501 additions and 1456 deletions
@@ -2,7 +2,7 @@
 julia_version = "1.12.6"
 manifest_format = "2.0"
-project_hash = "0db36d4fb31037ba05065476e6aebaf4cd0e1e8c"
+project_hash = "aa163e2bf572632825162936e107be18384fd40f"
 [[deps.Accessors]]
 deps = ["CompositionsBase", "ConstructionBase", "Dates", "InverseFunctions", "MacroTools"]
@@ -44,6 +44,12 @@ git-tree-sha1 = "d57bd3762d308bded22c3b82d033bff85f6195c6"
 uuid = "ec485272-7323-5ecc-a04f-4719b315124d"
 version = "0.4.0"
 [[deps.Arrow]]
 deps = ["ArrowTypes", "BitIntegers", "CodecLz4", "CodecZstd", "ConcurrentUtilities", "DataAPI", "Dates", "EnumX", "Mmap", "PooledArrays", "SentinelArrays", "StringViews", "Tables", "TimeZones", "TranscodingStreams", "UUIDs"]
 git-tree-sha1 = "4a69a3eadc1f7da78d950d1ef270c3a62c1f7e01"
 uuid = "69666777-d1a9-59fb-9406-91d4454c9d45"
 version = "2.8.1"
 [[deps.ArrowTypes]]
 deps = ["Sockets", "UUIDs"]
 git-tree-sha1 = "404265cd8128a2515a81d5eae16de90fdef05101"
@@ -58,6 +64,12 @@ version = "1.11.0"
 uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
 version = "1.11.0"
 [[deps.BitIntegers]]
 deps = ["Random"]
 git-tree-sha1 = "091d591a060e43df1dd35faab3ca284925c48e46"
 uuid = "c3b6d118-76ef-56ca-8cc7-ebb389d030a1"
 version = "0.3.7"
 [[deps.BufferedStreams]]
 git-tree-sha1 = "6863c5b7fc997eadcabdbaf6c5f201dc30032643"
 uuid = "e1450e63-4bb3-523b-b2a4-4ffa8c0fd77d"
@@ -90,12 +102,24 @@ git-tree-sha1 = "40956acdbef3d8c7cc38cba42b56034af8f8581a"
 uuid = "6c391c72-fb7b-5838-ba82-7cfb1bcfecbf"
 version = "0.3.4"
 [[deps.CodecLz4]]
 deps = ["Lz4_jll", "TranscodingStreams"]
 git-tree-sha1 = "d58afcd2833601636b48ee8cbeb2edcb086522c2"
 uuid = "5ba52731-8f18-5e0d-9241-30f10d1ec561"
 version = "0.4.6"
 [[deps.CodecZlib]]
 deps = ["TranscodingStreams", "Zlib_jll"]
 git-tree-sha1 = "962834c22b66e32aa10f7611c08c8ca4e20749a9"
 uuid = "944b1d66-785c-5afd-91f1-9de20f533193"
 version = "0.7.8"
 [[deps.CodecZstd]]
 deps = ["TranscodingStreams", "Zstd_jll"]
 git-tree-sha1 = "da54a6cd93c54950c15adf1d336cfd7d71f51a56"
 uuid = "6b39b394-51ab-5f42-8807-6242bab2b4c2"
 version = "0.8.7"
 [[deps.CommonSolve]]
 git-tree-sha1 = "cf963add2340ad9960e5eb22844e61ad8f931fe1"
 uuid = "38540f10-b2f7-11e9-35d8-d573e4eb0ff2"
@@ -130,6 +154,12 @@ weakdeps = ["InverseFunctions"]
    [deps.CompositionsBase.extensions]
    CompositionsBaseInverseFunctionsExt = "InverseFunctions"
 [[deps.ConcurrentUtilities]]
 deps = ["Serialization", "Sockets"]
 git-tree-sha1 = "3c9be947934c38475bafe822c6d61aaed17f0738"
 uuid = "f0e56b4a-5159-44fe-b623-3e5288b988bb"
 version = "2.6.0"
 [[deps.ConstructionBase]]
 git-tree-sha1 = "b4b092499347b18a015186eae3042f72267106cb"
 uuid = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
@@ -531,6 +561,12 @@ git-tree-sha1 = "1d4c737ab26f51ceed52ab2019c09b7660eb7440"
 uuid = "6f1432cf-f94c-5a45-995e-cdbf5db27b0b"
 version = "3.8.0"
 [[deps.Lz4_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl"]
 git-tree-sha1 = "191686b1ac1ea9c89fc52e996ad15d1d241d1e33"
 uuid = "5ced341a-0733-55b8-9ab6-a4889d929147"
 version = "1.10.1+0"
 [[deps.MacroTools]]
 git-tree-sha1 = "1e0228a030642014fe5cfe68c2c0a818f9e3f522"
 uuid = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09"
@@ -938,6 +974,11 @@ git-tree-sha1 = "8a90c1d77c3277a5d43b83927b3cbe2c70a37484"
 uuid = "892a3eda-7b42-436c-8928-eab12a02cf0e"
 version = "0.4.7"
 [[deps.StringViews]]
 git-tree-sha1 = "f2dcb92855b31ad92fe8f079d4f75ac57c93e4b8"
 uuid = "354b36f9-a18e-4713-926e-db85100087ba"
 version = "1.3.7"
 [[deps.StructTypes]]
 deps = ["Dates", "UUIDs"]
 git-tree-sha1 = "159331b30e94d7b11379037feeb9b690950cace8"
@@ -1080,6 +1121,14 @@ git-tree-sha1 = "011b0a7331b41c25524b64dc42afc9683ee89026"
 uuid = "a9144af2-ca23-56d9-984f-0d03f7b5ccf8"
 version = "1.0.21+0"
 [[deps.msghandler]]
 deps = ["Arrow", "Base64", "DataFrames", "Dates", "GeneralUtils", "HTTP", "JSON", "NATS", "PrettyPrinting", "Revise", "UUIDs"]
 git-tree-sha1 = "e82a79cf6602541ea25409aded57b2ace4a7c29f"
 repo-rev = "main"
 repo-url = "https://git.yiem.cc/ton/msghandler"
 uuid = "f2724d33-f338-4a57-b9f8-1be882570d10"
 version = "1.2.1"
 [[deps.nghttp2_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"
@@ -22,6 +22,7 @@ SQLLLM = "2ebc79c7-cc10-4a3a-9665-d2e1d61e63d3"
 Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
 URIs = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4"
 UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 msghandler = "f2724d33-f338-4a57-b9f8-1be882570d10"
 [compat]
 Base64 = "1.11.0"
@@ -33,3 +34,4 @@ JSON = "1.6.1"
 LLMMCTS = "0.1.5"
 NATS = "0.1.0"
 SQLLLM = "0.2.8"
 msghandler = "1.2.1"
@@ -6,7 +6,7 @@ Julia framework for building agents with tool use.
 1. Install dependencies: `]add JSON, DataStructures, UUIDs, Dates, ...`
 2. Create a `yiemAgent` with `loadTools("src/tools")`
-3. Call `run_agent(agent, "message")` then `take_response(agent)`
+3. Call `runAgent(agent, "message")` then `takeResponse(agent)`
 ## Architecture
@@ -16,7 +16,7 @@ src/
 ├── type.jl               # Core types (messages, tools, agent state)
 ├── utils.jl              # Message formatting, validation
 ├── agentCore.jl          # Agent loop, tool execution pipeline
-├── api.jl                # Public API (run_agent, take_response, etc.)
+├── api.jl                # Public API (runAgent, takeResponse, etc.)
 └── tools/
    ├── registry.jl       # Tool registry (loadTools, registerTool, listTools)
    ├── getWeather.jl     # Weather lookup tool
@@ -9,7 +9,7 @@ This document describes the complete tool lifecycle in the YiemAgent framework,
 1. [Quick Start: Tool Lifecycle](#1-quick-start-tool-lifecycle)
 2. [Overview](#2-overview)
 3. [Tool Definition — The `agentTool` Struct](#3-tool-definition--the-agenttool-struct)
-4. [Tool Registration — Per-Agent Tool Stores](#4-tool-registration--per-agent-tool-stores)
+4. [Tool Registration — Static Registration](#4-tool-registration--static-registration)
 5. [The Agent Loop — High-Level Flow](#5-the-agent-loop--high-level-flow)
 6. [Message Processing Pipeline](#6-message-processing-pipeline)
 7. [Tool Call Extraction from LLM Response](#7-tool-call-extraction-from-llm-response)
@@ -23,7 +23,8 @@ This document describes the complete tool lifecycle in the YiemAgent framework,
 15. [Self-Modifying Tools](#15-self-modifying-tools)
 16. [Complete End-to-End Example](#16-complete-end-to-end-example)
 17. [Tool File Contract](#17-tool-file-contract)
-18. [Appendix: Type Reference](#18-appendix-type-reference)
+18. [Adding New Tools](#18-adding-new-tools)
 19. [Appendix: Type Reference](#19-appendix-type-reference)
 ---
@@ -43,74 +44,52 @@ tool = listTool(store)  # Returns an agentTool that, when executed, lists all to
 **Result extraction:**
 ```julia
 result = tool.execute("call-1", Dict{String,Any}(), nothing, x->x)
-# result.content[1].text => "Available tools:\n- getTime: Time Lookup — Get current local time...\n- getWeather: Weather Lookup — Fetch current weather..."
+# result.content[1].text => "Available tools:\n- getWeather: Weather Lookup — Fetch current weather...\n- getTime: Time Lookup — Get current local time..."
 ```
-**Source:** `toolRegistry.jl:54-82`
+**Source:** `toolRegistry.jl:43-98`
 ---
-### Step 2: Load — `loadTools()`
+### Step 2: Register — `register_all_tools()`
-Load all tool modules from a directory into a `ToolStore`. Each `.jl` file must define `getTool()::agentTool`.
+Tools are statically defined in `src/tools/` and registered at module initialization via `register_all_tools()`. Each tool function (e.g., `getWeatherTool()`, `getTimeTool()`, `writeToolTool()`) is called to create the `agentTool` struct. `listTool` is auto-registered so the LLM can discover available tools.
 ```julia
 using YiemAgent, YiemAgent.toolRegistry
-store = ToolStore(name="myAgent")
+store = toolStore(name="myAgent")
-tools = loadTools(store, "src/tools")
+tools = register_all_tools(store)
-# Scans src/tools/ for .jl files, wraps each in a submodule, calls getTool(), registers in store.tools
+# Calls getWeatherTool(), getTimeTool(), writeToolTool() to create agentTool structs
 # Also auto-registers listTools for runtime discovery
 ```
 **Result extraction:**
 ```julia
 all_tools = getTools(store)  # OrderedDict{String, agentTool}
-# Keys: "getTime", "getWeather", "writeTool"
+# Keys: "getWeather", "getTime", "writeTool", "listTools"
-getTime_tool = all_tools["getTime"]
+getWeather_tool = all_tools["getWeather"]
-# Manual registration (alternative to loadTools)
+# Manual registration (alternative to register_all_tools)
 registerTool(store, my_tool)
 clearTools(store)  # Clear all tools from store
 ```
-**Source:** `toolRegistry.jl:113-172`
+**Source:** `toolRegistry.jl:38-40, 127-143`
 ---
 ### Step 2.5: Create Agent with Tools
-Wire the loaded tools into a new `yiemAgent` instance. The `tools` parameter is deep-copied into `agent._state.tools`; `_tool_store` is kept for runtime registration.
+Wire the registered tools into a new `yiemAgent` instance. The `yiemAgent` constructor calls `register_all_tools()` automatically.
 ```julia
 using YiemAgent, YiemAgent.type, YiemAgent.toolRegistry
-# 1. Set up ToolStore and load tools
+# Create agent — tools are registered automatically via register_all_tools()
 store = ToolStore(name="myAgent")
 loadTools(store, "src/tools")
 # 2. Create agent — pass tools + _tool_store
 agent = yiemAgent(
    systemPrompt = "You are a helpful assistant.",
    model = my_model,
    tools = getTools(store),          # OrderedDict{String, agentTool}
    llmCall = my_llm_call,            # Function that calls the LLM API
    agentEventSink = my_event_sink,   # Function for TUI/logging
    _tool_store = store,              # For runtime registerTool() calls
 )
 ```
 **Manual registration** (without `loadTools`):
 ```julia
 store = ToolStore(name="myAgent")
 registerTool(store, getTime_tool)
 registerTool(store, getWeather_tool)
 agent = yiemAgent(
    tools = getTools(store),
    llmCall = my_llm_call,
    agentEventSink = my_event_sink,
    _tool_store = store,
 )
 ```
@@ -118,17 +97,15 @@ agent = yiemAgent(
 | Parameter | Type | Required | Purpose |
 |-----------|------|----------|---------|
 | `systemPrompt` | `String` | No (default: "You are helpful assistant.") | System prompt text |
 | `model` | `llmModel` | No | LLM model config |
 | `tools` | `OrderedDict{String, agentTool}` | No | Available tools (deep-copied) |
 | `messages` | `Vector{agentMessage}` | No (default: empty) | Initial conversation history |
 | `llmCall` | `Function` | **Yes** | `(messages::Dict) -> assistantMessage` — invokes the LLM |
 | `agentEventSink` | `Function` | **Yes** | `(event) -> nothing` — receives tool lifecycle events |
-| `_tool_store` | `ToolStore` | No | Runtime tool registry for `registerTool()` |
+| `systemPrompt` | `String` | No (default: "You are helpful assistant.") | System prompt text |
 | `model` | `llmModel` | No | LLM model config |
 | `messages` | `Vector{agentMessage}` | No (default: empty) | Initial conversation history |
 Optional hooks: `prepareContext`, `formatMsgForLLM`, `beforeToolCall`, `afterToolCall`, `sessionId`, `maxRetryDelayMs`, `parallelToolExecute`.
-**Source:** `type.jl:609-657`, `toolRegistry.jl:38-40, 191-195`
+**Source:** `type.jl:609-657`, `toolRegistry.jl:127-143`
 ---
@@ -144,13 +121,13 @@ sig = nothing
 op = x -> x  # no-op partial result callback
 # Execute a loaded tool directly
-result = getTime_tool.execute("call-1", Dict("city" => "Tokyo"), sig, op)
+result = getWeather_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)
+  → _agentLoop detects message → @spawn _processMessage(agent)
    → prepareContext → formatMsgForLLM → llmCall
      → LLM returns tool_calls
        → executeToolCalls(context, response, tool_call_list, config, signal, emit)
@@ -166,10 +143,10 @@ user message → run_agent(agent, Dict("role"=>"user", "content"=>...))
 **`agentToolResult`** (raw tool output, `type.jl:429-434`):
 ```julia
-result = getTime_tool.execute("call-1", Dict("city" => "Tokyo"), nothing, x->x)
+result = getWeather_tool.execute("call-1", Dict("city" => "Tokyo"), nothing, x->x)
-result.content[1]      # textContent("Current time in Tokyo: ...")
+result.content[1]      # textContent("Weather in Tokyo: Sunny, 22°C")
-result.content[1].text # "Current time in Tokyo: 2026-08-10T..."
+result.content[1].text # "Weather in Tokyo: Sunny, 22°C"
 result.details         # Dict{Any,Any}() — tool-specific metadata
 result.usage           # nothing — llmUsage tracking (optional)
 result.terminate       # false — signals loop termination
@@ -180,7 +157,7 @@ result.terminate       # false — signals loop termination
 msg = batch.messages[1]  # toolResultMessage
 msg.toolCallId   # "call-1"
-msg.toolName     # "getTime"
+msg.toolName     # "getWeather"
 msg.content      # Vector{messageContent}
 msg.isError      # false
 msg.details      # tool-specific metadata
@@ -202,7 +179,7 @@ Each phase has a single responsibility and produces an intermediate result:
 | Phase | Function | Input | Output | Purpose |
 |-------|----------|-------|--------|---------|
 | Prepare | `prepareToolCall()` | `agentContext`, `assistantMessage`, `agentToolCall`, `agentLoopConfig`, `abortSignal` | `preparedToolCall` or `immediateOutcome` | Resolve tool, validate args, run pre-hook |
-| Execute | `executePreparedToolCall()` | `preparedToolCall`, `abortSignal`, `emit` | `executedOutcome` | Call `tool.execute()`, stream partial results |
+| Execute | `executePreparedToolCall()` | `preparedToolCall`, `abortSignal`, `agentEventSink` | `executedOutcome` | Call `tool.execute()`, stream partial results |
 | Finalize | `finalizeExecutedToolCall()` | `agentContext`, `assistantMessage`, `preparedToolCall`, `executedOutcome`, `agentLoopConfig`, `abortSignal` | `finalizedOutcome` | Run post-hook, emit end event |
 The pipeline ensures that **every tool call produces a result**, even on failure. Errors are captured as `immediateOutcome`, `executedOutcome`, or `finalizedOutcome` with `isError=true`, then converted to `toolResultMessage` objects that are fed back to the LLM conversation history.
@@ -274,16 +251,16 @@ The `terminate` flag is checked at the batch level. See [Section 10](#10-tool-ca
 ---
-## 4. Tool Registration — Per-Agent Tool Stores
+## 4. Tool Registration — Static Registration
-**Source:** `toolRegistry.jl`
+**Source:** `toolRegistry.jl`, `YiemAgent.jl`
-### How `ToolStore` Works
+### How `toolStore` Works
-The registry uses **per-agent isolated storage** via the `ToolStore` struct. Each agent gets its own store, so tool registration is independent — `registerTool(store, tool)` only affects that agent's tool set.
+The registry uses **per-agent isolated storage** via the `toolStore` struct. Each agent gets its own store, so tool registration is independent — `registerTool(store, tool)` only affects that agent's tool set.
 ```julia
-struct ToolStore
+struct toolStore
    tools::OrderedDict{String, agentTool}  # keyed by name for O(1) lookup + ordered iteration
    name::String                           # identifier for debugging/logs
 end
@@ -291,46 +268,36 @@ end
 `store.tools` is an `OrderedDict` — it provides O(1) lookup by tool name and preserves insertion order for iteration. `getTools(store)` returns this `OrderedDict` directly (not a copy), so mutations on the returned value affect the store.
-### How `loadTools(store, dir)` Works
+### Static Registration — `register_all_tools()`
 ```julia
-function loadTools(store::ToolStore, dir::String)::OrderedDict{String, agentTool}
+function register_all_tools(store::toolStore)::OrderedDict{String, agentTool}
 ```
-**Source:** `toolRegistry.jl:113-172`
+**Source:** `YiemAgent.jl:20-29`
-1. **Scans** `dir` for `.jl` files (excluding files matching `registry` in name)
+1. **Calls each tool's definition function** — `getWeatherTool()`, `getTimeTool()`, `writeToolTool()` — which return `agentTool` structs
-2. **Sorts** filenames alphabetically for deterministic registration order
+2. **Registers each tool** via `registerTool(store, tool)`
-3. **Wraps** each file in a dynamically created submodule:
+3. **Auto-registers** `listTool(store)` so the LLM can discover available tools at runtime
    ```julia
    # For "getWeather.jl" → module _tool_getWeather
    module _tool_getWeather
        using ..type
        using Dates, UUIDs, DataStructures, JSON
        # (file contents here)
    end
    ```
 4. **Evaluates** `getTool()` within the submodule scope using `Core.eval(mod, :(getTool()))` — this avoids world-age issues
 5. **Validates** the return value is an `agentTool` instance
 6. **Registers** the tool in `store.tools` and returns an `OrderedDict{String, agentTool}`
-### Why Submodules?
+### Why Static?
-Each tool file is loaded into its own **namespaced submodule**. This means:
+Tools are **statically included** in `YiemAgent.jl` via `include()`. This means:
- `validateRequiredArgs`, `prepareArguments`, `executeTool`, and helper functions defined in `getTime.jl` are scoped under `_tool_getTime`
+- Tool functions live in the `YiemAgent` module, not in dynamically created submodules
- No name collisions between tools — `getTime.validateRequiredArgs` is distinct from `getWeather.validateRequiredArgs`
+- No world-age issues when calling `tool.execute()` (Julia compiles dispatch in the same world)
- The module reference is kept alive by the functions stored in `agentTool` (closures in `execute`, `validateRequiredArgs`, `prepareArguments`) so they don't get garbage collected
+- Simpler tool definition — no need to wrap in a `module ... end` block
 - Better compiler optimization (inlining, type inference)
 ### Registration API
 ```julia
 # Create per-agent stores
-store1 = ToolStore(name="agent1")
+store1 = toolStore(name="agent1")
-store2 = ToolStore(name="agent2")
+store2 = toolStore(name="agent2")
-# Load tools into specific stores
+# Load all tools (auto-registers listTools)
-tools1 = loadTools(store1, "src/tools/weather_tools")   # agent1 only
+tools1 = register_all_tools(store1)  # all agents get the same tools
-tools2 = loadTools(store2, "src/tools/wine_tools")       # agent2 only
+tools2 = register_all_tools(store2)
 # Manual registration (per-store)
 registerTool(store1, my_tool)
@@ -350,14 +317,14 @@ clearTools(store1)  # only clears store1
 ### Per-Agent Isolation
-Each `ToolStore` is completely independent — tools registered in one store do not appear in another:
+Each `toolStore` is completely independent — tools registered in one store do not appear in another:
 ```julia
-storeA = ToolStore(name="A")
+storeA = toolStore(name="A")
-storeB = ToolStore(name="B")
+storeB = toolStore(name="B")
-registerTool(storeA, getTime_tool)
+registerTool(storeA, getTimeTool())
-registerTool(storeB, getWeather_tool)
+registerTool(storeB, getWeatherTool())
 getTools(storeA)  # only contains getTime
 getTools(storeB)  # only contains getWeather
@@ -373,16 +340,15 @@ This ensures that `yiemAgent` instances with different `tool_store` references o
 **Source:** `agentCore.jl:35-145`
-The `_agent_loop()` function runs as a background `@spawn` task, created when `yiemAgent` is constructed.
+The `_agentLoop()` function runs as a background `@spawn` task, created when `yiemAgent` is constructed.
 ### Channel Architecture
 ```
 yiemAgent struct contains:
-  - inputChannel (Channel, capacity 16)   ← user sends messages here via run_agent()
+  - inputChannel (Channel, capacity 16)   ← user sends messages here via runAgent()
-  - followUpChannel (Channel, capacity 32) ← user sends follow-ups here via follow_up()
+  - followUpChannel (Channel, capacity 32) ← user sends follow-ups here via followUp()
-  - outputChannel (Channel, capacity 16)   ← agent sends responses here via take_response()
+  - outputChannel (Channel, capacity 16)   ← agent sends responses here via takeResponse()
  - _tool_store (ToolStore)                ← per-agent isolated tool registry
 ```
 ### Loop States
@@ -392,7 +358,7 @@ The loop tracks 6 states (documented at `agentCore.jl:39-75`):
 | State | `processingTask` | `activeRun` | `inputChannel` | `followUpChannel` | Behavior |
 |-------|-----------------|-------------|----------------|-------------------|----------|
 | 1 | `nothing` | `false` | empty | empty | Idle, waiting |
-| 2 | `nothing` | `false` | has msg | empty | New message → spawn `_process_message` |
+| 2 | `nothing` | `false` | has msg | empty | New message → spawn `_processMessage` |
 | 3 | running | `true` | empty | empty | Processing, no new input |
 | 4 | running | `true` | has msg | empty | New message while busy → queued |
 | 5 | running | `true` | empty | has msg | Follow-up while busy → queued |
@@ -401,7 +367,7 @@ The loop tracks 6 states (documented at `agentCore.jl:39-75`):
 ### Loop Logic (simplified)
 ```julia
-function _agent_loop(agent::yiemAgent)
+function _agentLoop(agent::yiemAgent)
    while true
        # 1. Wait for message from inputChannel (blocking poll)
        msg = fetch!(agent.inputChannel)  # agentCore.jl:84
@@ -411,9 +377,9 @@ function _agent_loop(agent::yiemAgent)
            drain both channels, break loop
        end
-        # 3. If agent is idle, spawn _process_message
+        # 3. If agent is idle, spawn _processMessage
        if agent._state.activeRun == false
-            processingTask = Threads.@spawn _process_message(agent)
+            processingTask = Threads.@spawn _processMessage(agent)
            agent._state.activeRun = true
        end
@@ -442,12 +408,12 @@ end
 **Source:** `agentCore.jl:175-311`
-`_process_message(agent)` is the core function that processes a batch of user messages through the LLM pipeline.
+`_processMessage(agent)` is the core function that processes a batch of user messages through the LLM pipeline.
 ### Pipeline Steps
 ```julia
-function _process_message(agent::yiemAgent)::assistantMessage
+function _processMessage(agent::yiemAgent)::assistantMessage
    final_response = nothing
    while true  # Loop until LLM returns response without tool calls
@@ -463,38 +429,38 @@ function _process_message(agent::yiemAgent)::assistantMessage
        end
        # ── Step 2: Prepare context ─────────────────────────────────
-        preparedContext = agent.prepareContext(agent._state)
+        state = agentState(systemPrompt, nothing, tools, messages)
        preparedContext = prepareContext(state, agentEventSink)
        # Default: deep copies systemPrompt, messages, tools from agentState → agentContext
        # Override point: filter tools, inject context, modify system prompt
        # ── Step 3: Format for LLM ──────────────────────────────────
-        formatted_messages = agent.formatMsgForLLM(preparedContext)
+        formattedMessages = formatMsgForLLM(preparedContext, agentEventSink)
        # Converts agentContext → Dict("messages" => [...]) in OpenAI format
        # Wraps systemPrompt as system role, converts each messageContent block
        # ── Step 4: Call LLM ────────────────────────────────────────
-        response = agent.llmCall(formatted_messages)
+        response = llmCall(formattedMessages)
        # Returns assistantMessage with content::Vector{messageContent}
        # Each content block has a type: "text", "thinking", or "tool_call"
        # ── Step 5: Extract tool calls ──────────────────────────────
-        has_tool_calls, tool_call_list = extract_tool_calls(response.content)
+        hasToolCalls, toolCallList, assistant_msg = _extractToolCalls(response)
        # Inspects content blocks for "tool_calls" or "tool_call" Dict entries
        # ── Step 6: Execute tool calls or return ────────────────────
-        if has_tool_calls && !isempty(tool_call_list)
+        if hasToolCalls && !isempty(toolCallList)
            # Build context and config
-            context = agentContext(agent._state.systemPrompt, agent._state.messages, agent._state.tools)
+            context = agentContext(systemPrompt, messages, tools)
-            config = agentLoopConfig(agent._state.tools, agent.beforeToolCall, agent.afterToolCall, ...)
+            config = agentLoopConfig(beforeToolCall, afterToolCall, "sequential")
-            signal = nothing
+            signal = abortSignal(false)
            emit = agent.agentEventSink
            # Execute tool calls (sequential or parallel)
-            batch = executeToolCalls(context, response, tool_call_list, config, signal, emit)
+            batch = executeToolCalls(context, assistant_msg, toolCallList, config, signal, agentEventSink)
            # Save results to conversation history
            for tool_result in batch.messages
-                push!(agent._state.messages, tool_result)
+                push!(messages, tool_result)
            end
            # Check termination
@@ -514,10 +480,6 @@ function _process_message(agent::yiemAgent)::assistantMessage
 end
 ```
 ### Debug Note
 There is a deliberate `error(5555555)` at `agentCore.jl:214` that halts execution after the LLM call. This appears to be a debugging/staging marker. Remove or replace it before production use.
 ---
 ## 7. Tool Call Extraction from LLM Response
@@ -630,7 +592,7 @@ function prepareToolCall(
   - On failure: throws `ArgumentError(error_string)`, caught by the try-catch below
 4. **Run `beforeToolCall` hook** — if `config.beforeToolCall !== nothing`
-   - Passes `assistantMsgCtx(assistantMsg, toolCall, validatedArgs, context)` and `signal`
+   - Passes `beforeToolCallContext(assistantMsg, toolCall, validatedArgs, context)` and `signal`
   - Hook can return `nothing` (proceed), or `Dict(:block => true, :reason => "...")` (reject)
   - If `signal.aborted == true` → `immediateOutcome(createErrorToolResult("Operation aborted"), true)`
   - If `before.block == true` → `immediateOutcome(createErrorToolResult(get(before, :reason, "blocked")), true)`
@@ -649,52 +611,30 @@ function prepareToolCall(
 function executePreparedToolCall(
    prep::preparedToolCall,
    signal::Union{Nothing, abortSignal},
-    emit::Function,
+    agentEventSink,
 )::executedOutcome
 ```
 **Steps:**
-1. **Initialize streaming state:**
+1. **Call `tool.execute()`:**
    ```julia
    updateEvents = promise[]  # vector to collect update event handles
    accepting = true          # guard to prevent duplicate emissions
    ```
 2. **Call `tool.execute()`:**
   ```julia
   result = prep.tool.execute(
       prep.toolCall.id,
       prep.args,
       signal,
-        partialResult -> begin
+       agentEventSink  # serves as onPartialResult callback
            if accepting
                push!(updateEvents,
                      emit(toolExecUpdateEvent(prep.toolCall.id, prep.toolCall.name,
                                               prep.toolCall.arguments, partialResult)))
            end
        end
   )
    ```
 3. **Wait for streaming to settle:**
    ```julia
    accepting = false
    wait.(updateEvents)  # wait for all pending update event handlers
   return executedOutcome(result, false)
   ```
-4. **On error:**
+2. **On error:**
   ```julia
   catch err
        accepting = false
        wait.(updateEvents)
       return executedOutcome(createErrorToolResult(sprint(showerror, err)), true)
   end
   ```
 **Streaming design:** The `accepting` guard prevents emitting updates after the call completes. If the tool's `execute` function yields after emitting updates but before returning, no duplicate or stale updates are emitted.
 ### 8.3 Phase 3: Finalize — `finalizeExecutedToolCall()`
 **Source:** `agentCore.jl:675-706`
@@ -719,10 +659,10 @@ function finalizeExecutedToolCall(
   ```
 2. **Run `afterToolCall` hook** — if `config.afterToolCall !== nothing`:
-    - Passes `afterCtx(assistantMsg, prep.toolCall, prep.args, result, isError, context)` and `signal`
+   - Passes `afterToolCallContext(assistantMsg, prep.toolCall, prep.args, result, isError, context)` and `signal`
   - Hook can mutate the result:
     ```julia
-      after = config.afterToolCall(afterCtx(...))
+     after = config.afterToolCall(afterToolCallContext(...))
     if after !== nothing
         result = merge(result, dict(
             :content => get(after, :content, result.content),
@@ -743,19 +683,6 @@ function finalizeExecutedToolCall(
 **Source:** `type.jl:787-791` — `finalizedOutcome` holds the original tool call reference, final result (post-hook), and error status.
 ### 8.4 Emission — `emitToolExecutionEnd()`
 **Source:** `agentCore.jl:736-739`
 ```julia
 function emitToolExecutionEnd(finalized::finalizedOutcome, emit::Function)
    emit(toolExecEndEvent(finalized.toolCall.id, finalized.toolCall.name,
                          finalized.result, finalized.isError))
 end
 ```
 This is called immediately after finalization, before building the `toolResultMessage`.
 ---
 ## 9. Execution Modes — Sequential vs Parallel
@@ -771,7 +698,7 @@ function executeToolCalls(
    toolCalls::Vector{agentToolCall},
    config::agentLoopConfig,
    signal::Union{Nothing, abortSignal},
-    emit::Function,
+    agentEventSink,
 )::agentToolCallBatch
 ```
@@ -806,18 +733,15 @@ function executeToolCallsSequential(...)::agentToolCallBatch
    messages = toolResultMessage[]
    for tc in toolCalls
-        emit(toolExecStartEvent(tc.id, tc.name, tc.arguments))
+        prep = prepareToolCall(context, assistantMsg, tc, config, signal, agentEventSink)
        prep = prepareToolCall(context, assistantMsg, tc, config, signal)
        if prep isa immediateOutcome
            finalized = finalizedOutcome(tc, prep.result, prep.isError)
        else
-            executed = executePreparedToolCall(prep, signal, emit)
+            executed = executePreparedToolCall(prep, signal, agentEventSink)
            finalized = finalizeExecutedToolCall(context, assistantMsg, prep, executed, config, signal)
        end
        emitToolExecutionEnd(finalized, emit)
        push!(messages, createToolResultMessage(finalized))
        push!(finalizedCalls, finalized)
@@ -839,19 +763,15 @@ function executeToolCallsParallel(...)::agentToolCallBatch
    entries = union{finalizedOutcome, task{finalizedOutcome}}[]
    for tc in toolCalls
-        emit(toolExecStartEvent(tc.id, tc.name, tc.arguments))
+        prep = prepareToolCall(context, assistantMsg, tc, config, signal, agentEventSink)
        prep = prepareToolCall(context, assistantMsg, tc, config, signal)
        if prep isa immediateOutcome
            finalized = finalizedOutcome(tc, prep.result, prep.isError)
            emitToolExecutionEnd(finalized, emit)
            push!(entries, finalized)  # immediate outcome — no task
        else
            task = task() do
-                executed = executePreparedToolCall(prep, signal, emit)
+                executed = executePreparedToolCall(prep, signal, agentEventSink)
                finalized = finalizeExecutedToolCall(context, assistantMsg, prep, executed, config, signal)
                emitToolExecutionEnd(finalized, emit)
                return finalized
            end
            schedule(task)
@@ -920,12 +840,12 @@ From the type documentation (`type.jl:803-815`):
 | Unrecoverable error | A tool hits a fatal condition (auth token expired, database connection lost) |
 | Async handoff | A tool triggers a long-running external operation; the external system will later resume via `continue()` |
-### Batch Processing in `_process_message()`
+### Batch Processing in `_processMessage()`
 **Source:** `agentCore.jl:266-307`
 ```julia
-batch = executeToolCalls(context, response, tool_call_list, config, signal, emit)
+batch = executeToolCalls(context, response, tool_call_list, config, signal, agentEventSink)
 # Save results to conversation history
 for tool_result in batch.messages
@@ -982,9 +902,9 @@ function createToolResultMessage(f::finalizedOutcome)::toolResultMessage
        f.result.content,                 # content (Vector{messageContent})
        f.result.details,                 # details
        f.result.usage,                   # usage
-        get(f.result, :addedToolNames, string[]),  # addedToolNames (for dynamic tools)
+        nothing,                          # addedToolNames (for dynamic tools)
        f.isError,                        # isError
-        nowMillis(),                      # timestamp
+        now(),                            # timestamp
    )
 end
 ```
@@ -1045,9 +965,6 @@ Tool call fails at any phase
 └─────────────────────────┘
         │
         ▼
 emitToolExecutionEnd(finalized, emit)
         │
         ▼
 createToolResultMessage(finalized)
         │
         ▼
@@ -1116,14 +1033,14 @@ end
 |-------|-------------|------|
 | `toolExecStartEvent` | `executeToolCalls*()` loop | Before `prepareToolCall()` for each tool call |
 | `toolExecUpdateEvent` | `executePreparedToolCall()` | Inside `onPartialResult` callback during `tool.execute()` |
-| `toolExecEndEvent` | `emitToolExecutionEnd()` | After `finalizeExecutedToolCall()` for each tool call |
+| `toolExecEndEvent` | `finalizeExecutedToolCall()` | After finalization for each tool call |
 ### Event Sink
-The `emit` function is passed through the entire call chain:
+The `agentEventSink` function is passed through the entire call chain:
 ```julia
-emit = agent.agentEventSink  # set during yiemAgent construction
+agentEventSink = agent.agentEventSink  # set during yiemAgent construction
 ```
 The `agentEventSink` function is a user-provided callback that receives all events. This is typically used by:
@@ -1140,11 +1057,11 @@ The `agentEventSink` function is a user-provided callback that receives all even
 | Hook | Signature | Called | Purpose |
 |------|-----------|--------|---------|
-| `prepareContext` | `(state::agentState) -> agentContext` | Before each LLM call | Filter tools, inject context, modify system prompt |
+| `prepareContext` | `(state::agentState, agentEventSink) -> agentContext` | Before each LLM call | Filter tools, inject context, modify system prompt |
-| `formatMsgForLLM` | `(ctx::agentContext) -> Dict` | After `prepareContext` | Convert to LLM-specific format |
+| `formatMsgForLLM` | `(ctx::agentContext, agentEventSink) -> Dict` | After `prepareContext` | Convert to LLM-specific format |
 | `llmCall` | `(messages::Dict) -> assistantMessage` | After formatting | Actually invoke the LLM API |
-| `beforeToolCall` | `(msgCtx::assistantMsgCtx, signal) -> Union{Nothing, Dict}` | In `prepareToolCall` | Ask for user permission, block execution, abort |
+| `beforeToolCall` | `(msgCtx::beforeToolCallContext, signal) -> Union{Nothing, Dict}` | In `prepareToolCall` | Ask for user permission, block execution, abort |
-| `afterToolCall` | `(afterCtx::afterCtx, signal) -> Union{Nothing, Dict}` | In `finalizeExecutedToolCall` | Mutate result, mask data, flip `terminate` |
+| `afterToolCall` | `(afterToolCallContext::afterToolCallContext, signal) -> Union{Nothing, Dict}` | In `finalizeExecutedToolCall` | Mutate result, mask data, flip `terminate` |
 | `agentEventSink` | `(event) -> nothing` | Throughout lifecycle | Emit events for TUI, logging, monitoring |
 ### `beforeToolCall` Hook
@@ -1154,7 +1071,7 @@ The `agentEventSink` function is a user-provided callback that receives all even
 ```julia
 if config.beforeToolCall !== nothing
    before = config.beforeToolCall(
-        assistantMsgCtx(assistantMsg, toolCall, validatedArgs, context), signal
+        beforeToolCallContext(assistantMsg, toolCall, validatedArgs, context), signal
    )
    if signal !== nothing && signal.aborted
        return immediateOutcome(createErrorToolResult("Operation aborted"), true)
@@ -1179,7 +1096,7 @@ end
 if config.afterToolCall !== nothing
    try
        after = config.afterToolCall(
-            afterCtx(assistantMsg, prep.toolCall, prep.args, result, isError, context), signal
+            afterToolCallContext(assistantMsg, prep.toolCall, prep.args, result, isError, context), signal
        )
        if after !== nothing
            result = merge(result, dict(
@@ -1208,7 +1125,7 @@ end
 **Source:** `utils.jl:111-125`
 ```julia
-function prepareContext(state::agentState)::agentContext
+function prepareContext(state::agentState, agentEventSink)::agentContext
    # TODO: filter tools from state.tools based on user intent
    filteredTools = state.tools
@@ -1235,7 +1152,7 @@ end
 Default implementation converts `agentContext` to OpenAI-compatible format:
 ```julia
-function formatMsgForLLM(ctx::agentContext)::Dict{String, Any}
+function formatMsgForLLM(ctx::agentContext, agentEventSink)::Dict{String, Any}
    messages = Vector{Dict{String, Any}}()
    # System prompt as system message
@@ -1277,14 +1194,14 @@ The framework supports tools that modify the tool system itself at runtime.
 1. Converts `inputSchema` Dict into `Dict{String,Any}(...)` string literal
 2. Indents `executeCode` with 4 spaces
 3. Wraps it inside `function executeTool(...)::agentToolResult ... end`
-4. Appends `getTool()` returning an `agentTool` struct
+4. Appends `writeToolTool()` returning an `agentTool` struct
 5. Writes the combined string to `src/tools/<name>.jl`
 ### `listTool` — Discover Available Tools
-**Source:** `toolRegistry.jl:54-82`
+**Source:** `toolRegistry.jl:43-98`
-Each `ToolStore` gets its own `listTool` instance bound to that store via `listTool(store)`, so each agent sees only its own tools. Primarily useful for **collision detection** before creating a new tool via `writeTool`.
+Each `toolStore` gets its own `listTool` instance bound to that store via `listTool(store)`, so each agent sees only its own tools. `register_all_tools` auto-registers one, so the LLM can discover available tools at runtime. Also useful for **collision detection** before creating a new tool via `writeTool`.
 ### Self-Tooling Workflow
@@ -1298,9 +1215,11 @@ Each `ToolStore` gets its own `listTool` instance bound to that store via `listT
   - executeCode: "query = args[\"query\"]\nresult = search(query)\n..."
   - (optional) validateCode, prepareCode
 3. writeTool generates src/tools/searchWine.jl
-4. Agent restarts (or hot-reloads) → loadTools(agent._tool_store, "src/tools") picks up the new file
+4. Developer adds `include("tools/searchWine.jl")` to YiemAgent.jl
-5. Agent calls searchWine(query="cabernet")
+5. Developer adds `registerTool(store, searchWineTool())` to register_all_tools() in YiemAgent.jl
-6. Result: "Found 5 cabernet wines..."
+6. Developer restarts Julia — new tool is loaded
 7. Agent calls searchWine(query="cabernet")
 8. Result: "Found 5 cabernet wines..."
 ```
 ### `writeTool` Input Schema
@@ -1324,15 +1243,15 @@ 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" => [...]))
 LOOP ITERATION 1 — LLM DECIDES TO USE A TOOL
-  └─> _agent_loop: detects msg in inputChannel
+  └─> _agentLoop: detects msg in inputChannel
-  └─> Threads.@spawn _process_message(agent)
+  └─> @spawn _processMessage(agent)
-  ── _process_message ──────────────────────────────────────────────
+  ── _processMessage ──────────────────────────────────────────────
  │
  │ Step 1: Drain inputChannel
  │   raw_msg = Dict("role" => "user", "content" => [...])
@@ -1364,36 +1283,34 @@ LOOP ITERATION 1 — LLM DECIDES TO USE A TOOL
  │
  │ Step 6: Execute tool calls
  │   context = agentContext(systemPrompt, messages, tools)
-  │   config = agentLoopConfig(tools, beforeToolCall, afterToolCall, "sequential")
+  │   config = agentLoopConfig(beforeToolCall, afterToolCall, "sequential")
-  │   batch = executeToolCalls(context, response, tool_call_list, config, nothing, emit)
+  │   batch = executeToolCalls(context, response, tool_call_list, config, signal, agentEventSink)
 LOOP ITERATION 1 — executeToolCallsSequential
  │
-  │   ── executeToolCallsSequential ──────────────────────────────
+  │ For tc = agentToolCall("call_1", "getWeather", ...):
-  │   │
+  │
-  │   │ For tc = agentToolCall("call_1", "getWeather", ...):
+  │ PREPARE:
-  │   │
+  │   tool = context.tools["getWeather"]  → found!
-  │   │ emit(toolExecStartEvent("call_1", "getWeather", {"city": "Tokyo"}))
+  │   validatedArgs = validateToolArguments(tool, tc)
-  │   │
+  │   → validateRequiredArgs(Dict("city" => "Tokyo"), inputSchema)  → passes
-  │   │ PREPARE:
+  │   beforeToolCall_hook(...) → nothing (skipped)
-  │   │   tool = context.tools["getWeather"]  → found!
+  │   → preparedToolCall(tool, tc, {"city" => "Tokyo"})
-  │   │   validatedArgs = validateToolArguments(tool, tc)
+  │
-  │   │   → validateRequiredArgs(Dict("city" => "Tokyo"), inputSchema)  → passes
+  │ EXECUTE:
-  │   │   beforeToolCall_hook(...) → nothing (skipped)
+  │   result = tool.execute("call_1", {"city" => "Tokyo"}, nothing, agentEventSink)
-  │   │   → preparedToolCall(tool, tc, {"city" => "Tokyo"})
+  │   → agentToolResult([textContent("Weather in Tokyo: Sunny, 22°C")], {}, nothing, false)
-  │   │
+  │   → executedOutcome(result, false)
-  │   │ EXECUTE:
+  │
-  │   │   result = tool.execute("call_1", {"city" => "Tokyo"}, nothing, onPartialResult)
+  │ FINALIZE:
-  │   │   → agentToolResult([textContent("Weather in Tokyo: Sunny, 22°C")], {}, nothing, false)
+  │   afterToolCall_hook(...) → nothing (skipped)
-  │   │   → executedOutcome(result, false)
+  │   → finalizedOutcome(tc, result, false)
-  │   │
+  │
-  │   │ FINALIZE:
+  │ msg = createToolResultMessage(finalized)
-  │   │   afterToolCall_hook(...) → nothing (skipped)
+  │ → toolResultMessage("tool", "call_1", "getWeather", [...], {}, nothing, [], false, ts)
-  │   │   → finalizedOutcome(tc, result, false)
+  │
-  │   │
+  └─> agentToolCallBatch([msg], false)
  │   │ emit(toolExecEndEvent("call_1", "getWeather", result, false))
  │   │ msg = createToolResultMessage(finalized)
  │   │ → toolResultMessage("tool", "call_1", "getWeather", [...], {}, nothing, [], false, ts)
  │   │
  │   └─> agentToolCallBatch([msg], false)
  │
  │ Save results:
  │   for tool_result in batch.messages
@@ -1405,7 +1322,7 @@ LOOP ITERATION 1 — LLM DECIDES TO USE A TOOL
 LOOP ITERATION 2 — LLM RETURNS FINAL TEXT RESPONSE
-  ── _process_message (second iteration) ───────────────────────────
+  ── _processMessage (second iteration) ───────────────────────────
  │
  │ Step 1: Drain inputChannel → empty
  │
@@ -1427,19 +1344,19 @@ 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.")
 ```
 ---
 ## 17. Tool File Contract
-Each `.jl` file in `src/tools/` must conform to the following contract:
+Each `.jl` file in `src/tools/` follows a flat, static structure:
 ### Required Function
 ```julia
-function getTool()::agentTool
+function <name>Tool()::agentTool
    # Must return an agentTool instance
 end
 ```
@@ -1448,19 +1365,19 @@ end
 ```julia
 # Argument preparation (before validation)
-function prepareArguments(args::Dict{String,Any})::Dict{String,Any}
+function <name>PrepareArguments(args::Dict{String,Any})::Dict{String,Any}
    # Return modified args, or args unchanged
    return args
 end
 # Custom validation (before execution)
-function validateRequiredArgs(args::Dict{String,Any})::Union{Nothing,String}
+function <name>ValidateRequiredArgs(args::Dict{String,Any})::Union{Nothing,String}
    # Return nothing to pass, or error string to fail
    return nothing
 end
 # Core execution
-function executeTool(toolCallId::String,
+function <name>Execute(toolCallId::String,
                      args::Dict{String,Any},
                      signal::Union{Nothing,abortSignal},
                      onPartialResult::Function)::agentToolResult
@@ -1474,7 +1391,8 @@ end
 ```julia
 # src/tools/myTool.jl
-using Dates  # ← tool declares its own dependencies (registry injects only `using ..type`)
+using .type        # ← provides agentTool, textContent, agentToolResult, etc.
 using Dates        # ← tool's own dependencies
 # Optional: helper functions
 function helper_function(...)
@@ -1482,24 +1400,24 @@ function helper_function(...)
 end
 # Optional: prepareArguments
-function prepareArguments(args::Dict{String,Any})::Dict{String,Any}
+function myToolPrepareArguments(args::Dict{String,Any})::Dict{String,Any}
    return args
 end
 # Optional: validateRequiredArgs
-function validateRequiredArgs(args::Dict{String,Any})::Union{Nothing,String}
+function myToolValidateRequiredArgs(args::Dict{String,Any})::Union{Nothing,String}
    return nothing
 end
-# Required: executeTool
+# Required: execute function
-function executeTool(toolCallId::String, args::Dict{String,Any},
+function myToolExecute(toolCallId::String, args::Dict{String,Any},
                      signal::Union{Nothing,abortSignal},
                      onPartialResult::Function)::agentToolResult
    ...
 end
-# Required: getTool
+# Required: getTool function
-function getTool()::agentTool
+function myToolTool()::agentTool
    return agentTool(
        name = "myTool",
        label = "My Tool",
@@ -1509,9 +1427,9 @@ function getTool()::agentTool
            "properties" => Dict(...),
            "required" => [...]
        ),
-        execute = executeTool,
+        execute = myToolExecute,
-        prepareArguments = prepareArguments,
+        prepareArguments = myToolPrepareArguments,
-        validateRequiredArgs = validateRequiredArgs,
+        validateRequiredArgs = myToolValidateRequiredArgs,
        parallelToolExecute = false
    )
 end
@@ -1519,51 +1437,110 @@ end
 ### Dependencies
-Each tool file **declares its own dependencies** via `using` statements at the top of the file. The registry does **not** inject any standard library packages — if a tool needs `Dates`, `JSON`, `HTTP`, `CSV`, or any other package, it must include its own `using` statements.
+Each tool file declares its own dependencies via `using` statements:
 ```julia
 # src/tools/getTime.jl
 using .type
 using Dates
-function executeTool(...)
+function getTimeExecute(...)
    now()  # Dates.now requires `using Dates`
 end
 ```
 ```julia
 # src/tools/myApiTool.jl
 using .type
 using HTTP, JSON
-function executeTool(...)
+function myApiToolExecute(...)
    response = HTTP.get("https://api.example.com")
    data = JSON.parse(String(response.body))
    ...
 end
 ```
-### Module Isolation
+### Why Flat Modules?
-When `loadTools()` loads a file, it wraps it in a dynamically created submodule. The registry injects **only** `using ..type` to make core types (`agentTool`, `textContent`, `agentToolResult`, `abortSignal`, etc.) available:
+All tool files are **statically included** in `YiemAgent.jl` via `include()`. This means:
-
+- All functions live in the `YiemAgent` module, avoiding world-age issues
-```julia
+- `using .type` makes core types (`agentTool`, `textContent`, `agentToolResult`, `abortSignal`) available
-# User writes in src/tools/myTool.jl:
+- Functions are named with a `<toolName>` prefix to avoid name collisions (e.g., `getWeatherExecute`, `getTimeExecute`)
-using Dates, HTTP, JSON  # ← tool's own dependencies
+- The `...Tool()` function (e.g., `getWeatherTool()`) returns the `agentTool` struct for registration
 function getTool()::agentTool ... end
 # loadTools() creates:
 module _tool_myTool
    using ..type            # ← injected by registry (core types only)
    using Dates, HTTP, JSON # ← from tool file
    # (user's code here)
 end
 ```
 All functions in the file are scoped under `_tool_myTool`, preventing name collisions with other tools. The module reference is kept alive by the function objects stored in `agentTool`, preventing garbage collection of closures.
 ---
-## 18. Appendix: Type Reference
+## 18. Adding New Tools
 To add a new tool (e.g., `searchWine.jl`):
 ### Step 1: Create `src/tools/searchWine.jl`
 ```julia
 using .type
 # using AdditionalPkg  # add if needed
 function searchWineExecute(toolCallId::String, args::Dict{String,Any},
    signal::Union{Nothing,abortSignal}, onPartialResult)
    query = get(args, "query", "")
    result = search_wine_db(query)
    return agentToolResult(
        [textContent("Found $(length(result)) wines")],
        Dict{Any,Any}("count" => length(result)),
        nothing, false
    )
 end
 function searchWineTool()::agentTool
    return agentTool(
        name = "searchWine",
        label = "Search Wine",
        description = "Search wine database...",
        inputSchema = Dict{String,Any}(
            "type" => "object",
            "properties" => Dict(
                "query" => Dict("type" => "string", "description" => "Search query")
            ),
            "required" => ["query"]
        ),
        execute = searchWineExecute,
        prepareArguments = nothing,
        validateRequiredArgs = nothing,
        parallelToolExecute = false
    )
 end
 ```
 ### Step 2: Include in `src/YiemAgent.jl` (before `toolRegistry.jl`)
 ```julia
 include("tools/getWeather.jl")
 include("tools/getTime.jl")
 include("tools/searchWine.jl")  # ← add here
 include("tools/writeTool.jl")
 ```
 ### Step 3: Register in `register_all_tools()` in `YiemAgent.jl`
 ```julia
 function register_all_tools(store::toolRegistry.toolStore)
    registerTool(store, getWeatherTool())
    registerTool(store, getTimeTool())
    registerTool(store, searchWineTool())  # ← add here
    registerTool(store, writeToolTool())
    registerTool(store, listTool(store))
    return store.tools
 end
 ```
 ### Step 4: Restart Julia
 The module recompiles on next load. The new tool is available immediately.
 ---
 ## 19. Appendix: Type Reference
 ### Message Types
@@ -1601,10 +1578,10 @@ All functions in the file are scoped under `_tool_myTool`, preventing name colli
 |------|--------|-------------|
 | `agentContext` | `type.jl:299` | Conversation snapshot (systemPrompt, messages, tools) |
 | `agentState` | `type.jl:310` | Mutable runtime state (systemPrompt, model, tools, messages, pendingToolCalls, activeRun, errorMessage) |
-| `agentLoopConfig` | `type.jl:403` | Loop config (tools, beforeToolCall, afterToolCall, toolExecution) |
+| `agentLoopConfig` | `type.jl:403` | Loop config (beforeToolCall, afterToolCall, toolExecution) |
 | `abortSignal` | `type.jl:416` | Abort flag (`aborted::Bool`) |
-| `assistantMsgCtx` | `type.jl:445` | Context for beforeToolCall (message, toolCall, args, context) |
+| `beforeToolCallContext` | `type.jl:445` | Context for beforeToolCall (message, toolCall, args, context) |
-| `afterCtx` | `type.jl:463` | Context for afterToolCall (message, toolCall, args, result, isError, context) |
+| `afterToolCallContext` | `type.jl:463` | Context for afterToolCall (message, toolCall, args, result, isError, context) |
 ### Event Types
@@ -1,2 +1,5 @@
-# ── executeToolCalls() Julia pseudo code ──────────────────────────
+check my understand:
-# Full call stack from runLoop → executeToolCalls → prepare → execute → finalize → emit
+1) if LLM didn't use tool calls, assistantMessage get pushed into agent._state.messages and 
 it will be the latest message in agent._state.messages. then _agentLoop() can pick it as 
 the output to outputChannel
 2) if LLM use tool calls but toolResultBatch.terminate is false, assistantMessageToolCall
@@ -0,0 +1,8 @@
 check my understanding
 1) if LLM didn't use tool calls, assistantMessage get pushed into agent._state.messages and it will be the latest message in agent._state.messages. then _agentLoop() can pick it as the output to outputChannel
 2) if LLM use tool calls, assistantMessageToolCall get pushed into agent._state.messages. then toolResult get pushed into agent._state.messages. if toolResultBatch.terminate is false then _processMessage() loop continue
 3) if LLM use tool calls, assistantMessageToolCall get pushed into agent._state.messages. then toolResult get pushed into agent._state.messages. if toolResultBatch.terminate is true then final_response message get pushed into agent._state.messages. _processMessage() loop exit. then _agentLoop() can pick it as the output to outputChannel
 Is my understanding correct?
@@ -1,7 +1,6 @@
 module YiemAgent
-  # export agent
+  export register_all_tools
  """ Order by dependencies of each file. The 1st included file must not depend on any other
  files and each file can only depend on the file included before it. 
@@ -13,9 +12,21 @@ module YiemAgent
  include("utils.jl")
  using .utils
  include("tools/getWeather.jl")
  include("tools/getTime.jl")
  include("tools/writeTool.jl")
  include("toolRegistry.jl")
  using .toolRegistry
  function register_all_tools(store::toolRegistry.toolStore)
      registerTool(store, getWeatherTool())
      registerTool(store, getTimeTool())
      registerTool(store, writeToolTool())
      registerTool(store, listTool(store))
      return store.tools
  end
  # include("llmfunction.jl")
  # using .llmfunction
@@ -5,12 +5,11 @@ export prompt
 using JSON, DataStructures, Dates, UUIDs, HTTP, Random, PrettyPrinting, Serialization,
      DataFrames
 using GeneralUtils
-using ..type, ..utils
+using ..type, ..utils, ..agentCore, ..toolRegistry
 # ---------------------------------------------- 100 --------------------------------------------- #
 """
 Send a message to the agent's input channel.
@@ -25,16 +24,16 @@ The agent processes messages from `inputChannel` in the background task.
 - The same `agent` instance for chaining
 # Notes
- Use `take_response(agent)` to receive the agent's response after sending a message.
+- Use `takeResponse(agent)` to receive the agent's response after sending a message.
- Use `follow_up(agent, msg)` to send messages while the agent is still processing.
+- Use `followUp(agent, msg)` to send messages while the agent is still processing.
 # Examples
 ```jldoctest
-julia> run_agent(agent, "Hello!")
+julia> runAgent(agent, "Hello!")
 yiemAgent(...)
 ```
 """
-function run_agent(agent::yiemAgent, msg)
+function runAgent(agent::yiemAgent, msg)
  put!(agent.inputChannel, msg)
  return agent
 end
@@ -51,15 +50,15 @@ Blocks until the agent sends a response.
 - An `assistantMessage` instance representing the agent's response
 # Notes
- Use `run_agent(agent, msg)` to send a message before calling this function.
+- Use `runAgent(agent, msg)` to send a message before calling this function.
 # Examples
 ```jldoctest
-julia> response = take_response(agent)
+julia> response = takeResponse(agent)
 assistantMessage(...)
 ```
 """
-function take_response(agent::yiemAgent)
+function takeResponse(agent::yiemAgent)
  return take!(agent.outputChannel)
 end
@@ -77,17 +76,17 @@ and before any tool call results are sent.
 - The same `agent` instance for chaining
 # Notes
- Use `run_agent(agent, msg)` for the primary message and `follow_up(agent, msg)` for additional
+- Use `runAgent(agent, msg)` for the primary message and `followUp(agent, msg)` for additional
  messages while the agent is processing.
 - Follow-up messages are buffered in a separate channel (capacity 32 by default).
 # Examples
 ```jldoctest
-julia> follow_up(agent, "Also consider red wines")
+julia> followUp(agent, "Also consider red wines")
 yiemAgent(...)
 ```
 """
-function follow_up(agent::yiemAgent, msg)
+function followUp(agent::yiemAgent, msg)
  put!(agent.followUpChannel, msg)
  return agent
 end
@@ -105,19 +104,19 @@ then closes all channels (`inputChannel`, `outputChannel`, `followUpChannel`).
 - `nothing`
 # Notes
- After calling `stop_agent`, the agent is no longer usable. A new agent must be created
+- After calling `stopAgent`, the agent is no longer usable. A new agent must be created
  for further interaction.
 - If the background task throws a `TaskFailedException`, it is rethrown.
 # Examples
 ```jldoctest
-julia> stop_agent(agent)
+julia> stopAgent(agent)
 ```
 """
-function stop_agent(agent::yiemAgent)
+function stopAgent(agent::yiemAgent)
  put!(agent.inputChannel, :shutdown)
  try
-    fetch(agent._agent_loop)
+    fetch(agent._agentLoop)
  catch e
    if e isa TaskFailedException
      rethrow(e)
@@ -1,6 +1,6 @@
 module toolRegistry
-export ToolStore, loadTools, registerTool, getTools, clearTools, listTool
+export toolStore, registerTool, getTools, clearTools, listTool
 using Dates
 using JSON, DataStructures
@@ -9,47 +9,65 @@ using ..type
 """
 Per-agent isolated tool storage.
-Each agent gets its own `ToolStore` so tool registration is independent —
+Each agent gets its own `toolStore` so tool registration is independent —
 `registerTool(store, tool)` only affects that agent's tool set.
 # Fields
 - `tools::OrderedDict{String, agentTool}` — keyed by name for O(1) lookup + ordered iteration
 - `name::String` — identifier for debugging/logs
 """
-struct ToolStore
+struct toolStore
    tools::OrderedDict{String, agentTool}
    name::String
 end
 """
-Create a new isolated tool store.
+    toolStore(; name="default") -> toolStore
 Create a new empty tool store.
 # Keyword Arguments
- `name::String`: Identifier for this store (default: "default")
+- `name::String`: Display name for logging (default: `"default"`)
-# Examples
+# Example
 ```julia
-store = ToolStore(name="agent1")
+julia> store = toolStore(name="agent1")
-tools = loadTools(store, "src/tools")
+toolStore(OrderedDict{String, agentTool}(), "agent1")
 registerTool(store, my_tool)
 agent = yiemAgent(tools=getTools(store), llmCall=..., _tool_store=store)
 ```
 """
-function ToolStore(; name::String="default")::ToolStore
+function toolStore(; name::String="default")::toolStore
-    ToolStore(OrderedDict{String, agentTool}(), name)
+    toolStore(OrderedDict{String, agentTool}(), name)
 end
 """
-List tool definition — lets the agent query available tools for collision detection
+    listTool(store::toolStore) -> agentTool
-when creating new tools via writeTool.
+
 Return an `agentTool` definition for listing registered tools.
 Each call produces a **new** tool object that captures (closes over)
 `store`. `register_all_tools` auto-registers one so the LLM can discover tools
 at runtime.
 # Arguments
- `store::ToolStore`: The tool store to list from
+- `store`: The tool store whose tools will be listed when the tool runs
-Each `ToolStore` gets its own `listTool` instance bound to that store,
+# Example
-so each agent sees only its own tools.
+```julia
 julia> store = toolStore(name="agent1");
 julia> register_all_tools(store)  # auto-registers listTools
 [toolRegistry:agent1] Loaded tool: getWeather (Weather Lookup)
 [toolRegistry:agent1] Registered tool: listTools
 julia> tools = getTools(store)
 OrderedDict{String, agentTool} with 4 entries:
  "getWeather" => agentTool(...)
  "getTime" => agentTool(...)
  "writeTool" => agentTool(...)
  "listTools" => agentTool(...)
 ```
 """
-function listTool(store::ToolStore)::agentTool
+function listTool(store::toolStore)::agentTool
    return agentTool(
        name = "listTools",
        label = "List Tools",
@@ -79,162 +97,80 @@ function listTool(store::ToolStore)::agentTool
    )
 end
 # Note: register_all_tools is defined in YiemAgent.jl where tool functions are in scope
 """
-Load all tool modules from a directory into a specific ToolStore.
+    registerTool(store::toolStore, tool::agentTool) -> OrderedDict{String, agentTool}
-Scans `dir` for `.jl` files. Each file must define a function named
+Add `tool` to `store`, overwriting any existing tool with the same name.
 `getTool()::agentTool`. Files are sorted alphabetically so tool
 registration order is deterministic.
 Each `.jl` file is loaded into its own **submodule** so that all functions
 defined in the file (`validateRequiredArgs`, `prepareArguments`, `executeTool`,
 and any helper functions) are namespaced and never collide with other tools.
 # Arguments
- `store::ToolStore`: The tool store to register tools into
+- `store`: Tool store to modify
- `dir::String`: Directory path to scan for `.jl` tool files
+- `tool`: The `agentTool` to register
 # Returns
- `OrderedDict{String, agentTool}`: All loaded tools keyed by name
+- The same `store.tools` dict (modified in place)
-# Errors
+# Example
 - Throws `ArgumentError` if a tool file does not define a `getTool` function
 # Examples
 ```julia
-julia> store = ToolStore(name="agent1")
+julia> store = toolStore(name="agent1");
-julia> tools = loadTools(store, "src/tools")
+
-OrderedDict{String, agentTool} with 3 entries:
+julia> registerTool(store, listTool(store))
-  "getWeather" => agentTool(...)
+[toolRegistry:agent1] Registered tool: listTools
-  "getTime" => agentTool(...)
+OrderedDict{String, agentTool} with 1 entry:
  "listTools" => agentTool(...)
 ```
 """
-function loadTools(store::ToolStore, dir::String)::OrderedDict{String, agentTool}
+function registerTool(store::toolStore, tool::agentTool)::OrderedDict{String, agentTool}
    if !isdir(dir)
        throw(ArgumentError("Tool directory does not exist: $dir"))
    end
    jl_files = filter(f -> endswith(f, ".jl") && !occursin(r"(?i)registry", f), readdir(dir))
    sort!(jl_files)
    for filename in jl_files
        filepath = joinpath(dir, filename)
        # Derive a unique module name from the filename only (not full path).
        # e.g. "getWeather.jl" -> "_tool_getWeather"
        mod_name = Symbol("_tool_", replace(rstrip(filename, '.'), ".jl" => ""))
        # Build the complete module as a string and eval the parsed code.
        # Julia does not allow `module ... end` inside eval(quote ...),
        # and constructing the module AST by hand is fragile.
        # Instead, we generate the full module source as a string,
        # parse it, and eval the resulting expression.
        # Each tool file declares its own dependencies via `using` statements
        # at the top of the file — the registry only injects `using ..type`
        # to make core types (agentTool, textContent, etc.) available.
        file_content = read(filepath, String)
        module_code = """
        module $(mod_name)
        using ..type
        $(file_content)
        end
        """
        mod = eval(Meta.parse(module_code))
        # Call getTool() via Core.eval in the submodule's scope.
        # This evaluates getTool() entirely within the new module's world,
        # completely avoiding world-age issues — no invokelatest needed.
        # Note: all uses of `tool` must be inside the `try` block because
        # Julia 1.12's SSA form doesn't track `tool` as definitely assigned
        # after a `try-catch` where it's only assigned inside `try`.
        try
            tool = Core.eval(mod, :(getTool()))
            if !(tool isa agentTool)
                throw(ArgumentError(
                    "getTool() in $(filepath) did not return an agentTool instance, got: $(typeof(tool))"
                ))
            end
            store.tools[tool.name] = tool
            println("[$(store.name)] Loaded tool: $(tool.name) ($(tool.label))")
        catch e
            if e isa UndefVarError || occursin("getTool", sprint(showerror, e))
                throw(ArgumentError(
                    "Tool file $(filepath) does not define a `getTool()` function in module $(mod_name). " *
                    "Each tool file must define: function getTool()::agentTool ... end"
                ))
            end
            rethrow(e)
        end
    end
    return store.tools
 end
 """
 Register a single agentTool into a specific ToolStore.
 # Arguments
 - `store::ToolStore`: The tool store to register into
 - `tool::agentTool`: The tool to register
 # Returns
 - `OrderedDict{String, agentTool}`: Updated tool dict for this store
 # Examples
 ```julia
 julia> store = ToolStore(name="agent1")
 julia> registerTool(store, my_tool)
 [toolRegistry:agent1] Registered tool: my_tool
 ```
 """
 function registerTool(store::ToolStore, tool::agentTool)::OrderedDict{String, agentTool}
    store.tools[tool.name] = tool
    println("[$(store.name)] Registered tool: $(tool.name)")
    return store.tools
 end
 """
-Get the registered tools from a specific ToolStore.
+Return the tools registered in `store`.
-Returns the internal `OrderedDict` directly — O(1) lookup by name,
+The returned dict is the **same object** stored inside `store` — mutations
-ordered iteration preserving registration order.
+to it (e.g. via `registerTool`) are visible through subsequent calls.
 # Arguments
- `store::ToolStore`: The tool store to query
+- `store`: Tool store to query
 # Returns
 - `OrderedDict{String, agentTool}`: Tools keyed by name, in registration order
-# Examples
+# Example
 ```julia
-julia> getTools(store)
+julia> tools = getTools(store)
-OrderedDict{String, agentTool} with 3 entries:
+OrderedDict{String, agentTool} with 2 entries:
  "listTools" => agentTool(...)
  "getWeather" => agentTool(...)
  "getTime" => agentTool(...)
 ```
 """
-function getTools(store::ToolStore)::OrderedDict{String, agentTool}
+function getTools(store::toolStore)::OrderedDict{String, agentTool}
    return store.tools
 end
 """
-Clear all registered tools from a specific ToolStore.
+Remove all tools from `store`.
 # Arguments
- `store::ToolStore`: The tool store to clear
+- `store`: Tool store to clear
 # Returns
 - `nothing`
-# Examples
+# Example
 ```julia
 julia> clearTools(store)
 [toolRegistry:agent1] Registry cleared
 nothing
 julia> getTools(store)
 OrderedDict{String, agentTool} with 0 entries
 ```
 """
-function clearTools(store::ToolStore)::Nothing
+function clearTools(store::toolStore)::Nothing
    empty!(store.tools)
    println("[$(store.name)] Registry cleared")
    return nothing
@@ -1,3 +1,4 @@
 using .type
 using Dates
 """
@@ -15,7 +16,7 @@ Demonstrates custom validation beyond simple required-field checking:
 - `nothing` if validation passes
 - `String` error message if validation fails
 """
-function validateRequiredArgs(args::Dict{String,Any})::Union{Nothing,String}
+function getTimeValidateRequiredArgs(args::Dict{String,Any})::Union{Nothing,String}
    tz = get(args, "timezone", nothing)
    city = get(args, "city", "")
@@ -43,7 +44,8 @@ Execute the getTime tool.
 Returns mock time data for the given timezone or city.
 """
-function executeTool(toolCallId::String, args::Dict{String,Any}, signal::Union{Nothing,abortSignal}, onPartialResult::Function)::agentToolResult
+function getTimeExecute(toolCallId::String, args::Dict{String,Any}, signal::Union{Nothing,abortSignal},
  onPartialResult)
    tz = get(args, "timezone", nothing)
    city = get(args, "city", "")
    if tz !== nothing
@@ -60,7 +62,7 @@ end
 """
 Define and return the getTime agentTool.
 """
-function getTool()::agentTool
+function getTimeTool()::agentTool
    return agentTool(
        name = "getTime",
        label = "Time Lookup",
@@ -73,9 +75,9 @@ function getTool()::agentTool
            ),
            "required" => []
        ),
-        execute = executeTool,
+        execute = getTimeExecute,
        prepareArguments = nothing,
-        validateRequiredArgs = validateRequiredArgs,
+        validateRequiredArgs = getTimeValidateRequiredArgs,
        parallelToolExecute = false
    )
 end
@@ -1,23 +1,33 @@
 using msghandler
 using .type
 """
 Execute the getWeather tool.
 Returns mock weather data for the given city and temperature units.
 """
-function executeTool(toolCallId::String, args::Dict{String,Any}, signal::Union{Nothing,abortSignal}, onPartialResult::Function)::agentToolResult
+function getWeatherExecute(toolCallId::String, args::Dict{String,Any}, signal::Union{Nothing,abortSignal},
  agentEventSink)
  agentEventSink("Getting weather...")
  city = get(args, "city", "")
  units = get(args, "units", "celsius")
  temp = units == "fahrenheit" ? "72" : "22"
  unit_symbol = units == "celsius" ? "°C" : "°F"
  return agentToolResult(
      [textContent("Weather in $(city): Sunny, $(temp)$(unit_symbol)")],
-        Dict{Any,Any}(), nothing, false
+      Dict{Any,Any}(), 
      nothing, 
      false
    )
 end
 """
 Define and return the getWeather agentTool.
 """
-function getTool()::agentTool
+function getWeatherTool()::agentTool
    return agentTool(
        name = "getWeather",
        label = "Weather Lookup",
@@ -30,7 +40,7 @@ function getTool()::agentTool
            ),
            "required" => ["city"]
        ),
-        execute = executeTool,
+        execute = getWeatherExecute,
        prepareArguments = nothing,
        validateRequiredArgs = nothing,
        parallelToolExecute = false
@@ -1,3 +1,4 @@
 using .type
 using JSON
 """
@@ -7,15 +8,17 @@ The agent can use this tool when it encounters a task that no existing tool
 can handle. Provide the tool's name, label, description, inputSchema, and
 execute logic as Julia code. The tool is written to `src/tools/<name>.jl`.
-After calling this tool, restart the agent so `loadTools(agent._tool_store, "src/tools")` picks
+After calling this tool, add the new file to `YiemAgent.jl` with an `include()`
-up the new file. The new tool is immediately available.
+statement (after `include("toolRegistry.jl")`), then restart the agent.
 The new tool must be registered in `register_all_tools()` in `toolRegistry.jl`.
 # Example
 1. Agent calls writeTool with a spec for a "searchWine" tool
 2. writeTool generates src/tools/searchWine.jl
-3. Restart agent — loadTools() picks up the new file
+3. Developer adds `include("tools/searchWine.jl")` to YiemAgent.jl
-4. Agent calls searchWine with args
+4. Developer adds `registerTool(store, searchWineTool())` to register_all_tools()
 5. Restart agent — new tool is available
 # How It Works
@@ -24,7 +27,7 @@ tool logic as `executeCode`, and writeTool wraps it in Julia boilerplate:
  - Converts `inputSchema` Dict into Julia `Dict{String,Any}(...)` string
  - Indents `executeCode` with 4 spaces
  - Wraps it inside `function executeTool(...)::agentToolResult ... end`
-  - Appends `getTool()` returning an `agentTool` struct
+  - Appends `writeToolTool()` returning an `agentTool` struct
  - Writes the combined string to `src/tools/<name>.jl`
 # Important Notes
@@ -105,7 +108,7 @@ end
 """
 Define and return the writeTool agentTool.
 """
-function getTool()::agentTool
+function writeToolTool()::agentTool
    return agentTool(
        name = "writeTool",
        label = "Create Tool",
@@ -127,7 +130,7 @@ function getTool()::agentTool
            ),
            "required" => ["name", "label", "description", "inputSchema", "executeCode"]
        ),
-        execute = (toolCallId::String, args::Dict{String,Any}, signal::Union{Nothing,abortSignal}, onPartialResult::Function) -> begin
+        execute = (toolCallId::String, args::Dict{String,Any}, signal::Union{Nothing,abortSignal}, onPartialResult) -> begin
            tool_name = get(args, "name", "")::String
            tool_label = get(args, "label", tool_name)::String
            tool_description = get(args, "description", "")::String
@@ -250,13 +253,13 @@ function getTool()::agentTool
            tool_code = join(parts)
-            # Write the file — tool is loaded on next agent restart via loadTools(store, "src/tools")
+            # Write the file — tool must be included in YiemAgent.jl and registered in register_all_tools()
            write(filepath, tool_code)
            onPartialResult(Dict("status" => "Done"))
            return agentToolResult(
-                [textContent("Tool '$(tool_name)' written to $filepath. Restart the agent so loadTools(agent._tool_store, \"src/tools\") picks it up, then call listTools to verify.")],
+                [textContent("Tool '$(tool_name)' written to $filepath. Add include(\"tools/$(tool_name).jl\") to YiemAgent.jl and registerTool(store, $(tool_name)Tool()) to register_all_tools(), then restart the agent.")],
                Dict{Any,Any}(
                    "file" => filepath,
                    "name" => tool_name,
@@ -5,16 +5,16 @@
           # Model types
           modelCost, llmModel, llmUsage,
            # Message content types
-           textContent, imageContent,
+            textContent, imageContent, reasoningContent,
            # Message types
-           userMessage, assistantMessage, toolResultMessage,
+            userMessage, assistantMessageToolCall, assistantMessage, toolResultMessage,
            # Tool types
             agentTool, validateRequiredArgs,
           # Context types
           agentContext, agentState, agentToolCall, prepareNextTurnContext,
           # Loop & execution types
-           agentLoopConfig, abortSignal, agentToolResult,
+           agentLoopConfig, abortSignal, agentToolResult,beforeToolCallContext, 
-           assistantMsgCtx, afterCtx,
+           beforeToolCallResult, afterToolCallContext,
           # Event types
           toolExecStartEvent, toolExecUpdateEvent, toolExecEndEvent,
           # Agent
@@ -23,7 +23,7 @@
           preparedToolCall, immediateOutcome, executedOutcome, finalizedOutcome,
           agentToolCallBatch,
           # Functions (defined elsewhere)
-           run_agent, take_response, follow_up, stop_agent
+           runAgent, takeResponse, followUp, stopAgent
 using Dates, UUIDs, DataStructures, JSON, NATS, Base.Threads
@@ -31,6 +31,13 @@ using GeneralUtils
 const Timestamp = DateTime
 struct agentToolCall               # A tool invocation from the LLM
  type::String                              # Always "function"
  id::String                                # Unique tool call identifier
  name::String                              # Tool name
  arguments::Dict{String, Any}              # Parsed tool arguments
 end
 # ------------------------------------------------------------------------------------------------ #
 #                                          LLM model info                                          #
 # ------------------------------------------------------------------------------------------------ #
@@ -75,6 +82,10 @@ struct imageContent <: messageContent         # Image message content
    mimeType::String                          # MIME type (e.g., "image/png")
 end
 struct reasoningContent <: messageContent    # LLM reasoning/thinking content
    text::String                              # The reasoning text
 end
 # ------------------------------------------------------------------------------------------------ #
 #                                           Message types                                          #
@@ -108,6 +119,52 @@ function userMessage(; role="user", content=Vector{messageContent}(), timestamp=
    return userMessage(role, content, timestamp)
 end
 struct assistantMessageToolCall <: agentMessage   # Assistant message containing tool calls
    role::String                            # Always "assistant"
    toolCalls::Vector{agentToolCall}        # Tool calls to execute
    content::Vector{messageContent}         # Reasoning/thinking content blocks
    api::String                             # API name used (e.g., "openai")
    provider::String                        # Provider name (e.g., "anthropic")
    model::String                           # Model identifier
    usage::llmUsage                         # Token usage for this message
    stopReason::String                      # Why generation stopped (e.g., "tool_calls")
    errorMessage::Union{String, Nothing}    # Error if generation failed
    timestamp::Timestamp                    # When the message was received
 end
 """
 Create a new assistant message containing tool calls.
 # Arguments
 - `role::String`: Always "assistant"
 - `toolCalls::Vector{agentToolCall}`: Tool calls to execute
 - `content::Vector{messageContent}`: Reasoning/thinking content blocks
 - `api::String`: API name used
 - `provider::String`: Provider name
 - `model::String`: Model identifier
 - `usage::llmUsage`: Token usage
 - `stopReason::String`: Why generation stopped
 - `errorMessage::Union{String, Nothing}`: Error if generation failed
 - `timestamp::Timestamp`: When the message was received
 # Returns
 - A new `assistantMessageToolCall` instance
 # Examples
 ```julia
 julia> tc = agentToolCall("function", "call_1", "getWeather", Dict("city" => "Tokyo"))
 julia> msg = assistantMessageToolCall(toolCalls=[tc], stopReason="tool_calls")
 assistantMessageToolCall("assistant", [agentToolCall(...)], messageContent[], "", "", "", llmUsage(0, 0), "tool_calls", nothing, DateTime(...))
 ```
 """
 function assistantMessageToolCall(; role="assistant", toolCalls=agentToolCall[],
    content=Vector{messageContent}(), api="", provider="", model=nothing, usage=llmUsage(0, 0),
    stopReason="tool_calls", errorMessage=nothing, timestamp=now())
    model_str = model isa AbstractString ? String(model) : ""
    return assistantMessageToolCall(role, toolCalls, content, api, provider, model_str,
                                     usage, stopReason, errorMessage, timestamp)
 end
 struct assistantMessage <: agentMessage     # Message from the AI assistant
    role::String                            # Always "assistant"
    content::Vector{messageContent}         # Text and/or image content
@@ -144,9 +201,10 @@ assistantMessage("assistant", [textContent("Hello!")], "", "", "gpt-4", ..., "en
 ```
 """
 function assistantMessage(; role="assistant", content=Vector{messageContent}(),
-    api="", provider="", model="", usage=llmUsage(0, 0), stopReason="end_turn",
+    api="", provider="", model=nothing, usage=llmUsage(0, 0), stopReason="end_turn",
    errorMessage=nothing, timestamp=now())
-    return assistantMessage(role, content, api, provider, model, usage, stopReason, errorMessage, timestamp)
+    model_str = model isa AbstractString ? String(model) : ""
    return assistantMessage(role, content, api, provider, model_str, usage, stopReason, errorMessage, timestamp)
 end
 struct toolResultMessage <: agentMessage    # Result returned from a tool execution
@@ -263,7 +321,7 @@ struct agentTool                              # A tool available to the agent
    label::String                             # Human-readable tool name
    description::String                       # What the tool does
    inputSchema::Any                          # Tool parameters schema (JSON schema, MCP inputSchema format)
-    execute::Function                         # Tool execution function
+    execute                         # Tool execution function
    prepareArguments::Union{Function, Nothing}  # Optional argument preparation callback
    validateRequiredArgs::Union{Function, Nothing}  # Optional validation hook for required args
    parallelToolExecute::Bool  # Override: run tool calls sequentially or in parallel
@@ -273,7 +331,7 @@ end
 Keyword constructor for agentTool — allows `agentTool(name=..., label=..., ...)`.
 """
 function agentTool(; name::String, label::String, description::String, inputSchema::Any,
-                     execute::Function, prepareArguments::Union{Function, Nothing}=nothing,
+                     execute, prepareArguments::Union{Function, Nothing}=nothing,
                     validateRequiredArgs::Union{Function, Nothing}=nothing,
                     parallelToolExecute::Bool=false)
    return agentTool(name, label, description, inputSchema, execute,
@@ -291,7 +349,7 @@ Snapshot of the agent's conversation context.
 # Arguments
 - `systemPrompt::String`: System prompt for the agent
 - `messages::Vector{agentMessage}`: Conversation messages
- `tools::Union{Dict{String, agentTool}, Nothing}`: Available tools keyed by name for O(1) lookup
+- `tools::Union{OrderedDict{String, agentTool}, Nothing}`: Available tools keyed by name for O(1) lookup
 # Returns
 - A new `agentContext` instance
@@ -299,7 +357,7 @@ Snapshot of the agent's conversation context.
 struct agentContext                           # Snapshot of the agent's conversation context
    systemPrompt::String                      # System prompt for the agent
    messages::Vector{agentMessage}            # Conversation messages
-    tools::Union{Dict{String, agentTool}, Nothing}  # Available tools keyed by name
+    tools::Union{OrderedDict{String, agentTool}, Nothing}  # Available tools keyed by name
 end
@@ -309,14 +367,13 @@ end
 mutable struct agentState                     # Mutable runtime state of an agent
    systemPrompt::String                      # System prompt for the agent
-    model::llmModel                           # LLM model to use
+    model::Union{llmModel, Nothing}                           # LLM model to use
    tools::OrderedDict{String, agentTool}     # Available tools keyed by name, insertion-ordered
    # messages history includes userMessage, assistantMessage, toolResultMessage. NO system prompt
    messages::Vector{agentMessage}            
    pendingToolCalls::Vector{String}          # Tool call IDs waiting for results
    activeRun::Bool                             # is agent processing user message?
    errorMessage::Union{String, Nothing}      # Last error message
 end
@@ -342,7 +399,7 @@ agentState("You are a helpful assistant", OrderedDict{String, agentTool}(), agen
 """
 function agentState(
  systemPrompt::String="",
-    model::llmModel=llmModel{String}("", "", "unknown", "unknown", "", false, String[], 
+  model=llmModel("model_1", "unknown", "unknown", "", false, String[], 
                  modelCost(0.0, 0.0, 0.0, 0.0), 0, 0),
  tools::OrderedDict{String, agentTool}=OrderedDict{String, agentTool}(),
  messages::Vector{agentMessage}=agentMessage[],
@@ -353,20 +410,11 @@ function agentState(
    deepcopy(tools),
    deepcopy(messages),
    Vector{String}(),
      false,
    nothing,
  )
 end
 struct agentToolCall               # A tool invocation from the LLM
    type::String                              # Always "function"
    id::String                                # Unique tool call identifier
    name::String                              # Tool name
    arguments::Dict{String, Any}              # Parsed tool arguments
 end
 """
 Context for preparing the next conversation turn.
@@ -395,13 +443,11 @@ end
 Configuration for the agent tool execution loop.
 # Arguments
 - `tools::OrderedDict{String, agentTool}`: Available tools keyed by name
 - `beforeToolCall::Union{Function, Nothing}`: Callback before tool execution
 - `afterToolCall::Union{Function, Nothing}`: Callback after tool execution
 - `toolExecution::String`: Execution mode — "sequential" or "parallel"
 """
 struct agentLoopConfig
    tools::OrderedDict{String, agentTool}
    beforeToolCall::Union{Function, Nothing}
    afterToolCall::Union{Function, Nothing}
    toolExecution::String
@@ -437,31 +483,36 @@ end
 Context passed to the `beforeToolCall` hook.
 # Arguments
- `message::assistantMessage`: The assistant message containing the tool call
+- `message::assistantMessageToolCall`: The assistant message containing the tool call
 - `toolCall::agentToolCall`: The tool call being prepared
 - `args::Dict{String,Any}`: Validated tool arguments
 - `context::agentContext`: Current conversation context
 """
-struct assistantMsgCtx
+struct beforeToolCallContext
-    message::assistantMessage
+    message::assistantMessageToolCall
    toolCall::agentToolCall
    args::Dict{String,Any}
    context::agentContext
 end
 struct beforeToolCallResult
  block::Bool
  reason::String
 end
 """
 Context passed to the `afterToolCall` hook.
 # Arguments
- `message::assistantMessage`: The assistant message containing the tool call
+- `message::assistantMessageToolCall`: The assistant message containing the tool call
 - `toolCall::agentToolCall`: The tool call that was executed
 - `args::Dict{String,Any}`: Tool arguments
 - `result::agentToolResult`: The raw tool result
 - `isError::Bool`: Whether execution resulted in an error
 - `context::agentContext`: Current conversation context
 """
-struct afterCtx
+struct afterToolCallContext
-    message::assistantMessage
+    message::assistantMessageToolCall
    toolCall::agentToolCall
    args::Dict{String,Any}
    result::agentToolResult
@@ -521,143 +572,6 @@ end
 abstract type agent end 
 """
 docstring
 """
 mutable struct yiemAgent <: agent             # High-level agent wrapper
  _state::agentState                          # Current state (prompt, model, messages, tools, etc.)
  # user sends prompt message to agent. if agent is idle, it process user message right away. 
  # if agent is running, it process user message after  the current tool call finished.
  inputChannel::Channel                        
  # Buffers messages the user sends while the agent is busy. Processed after all inputChannel 
  # messages are handled and the agent is idle (not using a tool call).
  followUpChannel::Channel                    
  # agent sends response message to user after processing all user messages in inputChannel 
  # and all followUp messages.
  outputChannel::Channel                     
  _agent_loop::Union{Task, Nothing}                 # agent loop running in the background
  # Preprocess/transform messages and context (modify, filter, prune, inject context from memory,  
  # reorder, ...) for a single LLM call in _process_message()'s loop.
  # returns new Vector{agentMessage}
  prepareContext ::Union{Function, Nothing}   
  # Convert prepareContext()'s new Vector{agentMessage} to LLM message format
  formatMsgForLLM::Function    
  # Actually invoke the LLM to get a completion response. The LLM response comes back as an 
  # assistantMessage whose content is an array of content blocks. 
  # Each block has a type — "text", "thinking", or "toolCall". 
  # The code filters for type === "toolCall" blocks, then passes them to executeToolCalls().
  llmCall::Function                           
  # Callback invoked before executing a tool call (ask for user permission/confirmation/abort, etc..)
  beforeToolCall::Union{Function, Nothing}    
  executeToolCalls::Function                  # execute tool calls ()
  # Callback invoked after executing a tool call to sanitize tools output so the output is ready 
  # to be converted into toolResults message
  afterToolCall::Union{Function, Nothing}     
  # prepareNextTurn::Union{Function, Nothing}   # Callback to prepare the next conversation turn
  # prepareNextTurnWithContext::Union{Function, Nothing}  # Same but receives context
  sessionId::Union{String, Nothing}           # Optional session identifier
  maxRetryDelayMs::Union{Int64, Nothing}      # Maximum delay between retries (ms)
   parallelToolExecute::Bool                   # Default: false
   agentEventSink::Function                    # agent emits its status via this function
   _tool_store::Any                            # Reference to the ToolStore for runtime registration
 end
 """
 Create a new yiemAgent instance with a background loop task.
 Spawns a background `@spawn` task that runs the agent loop, listening
 on `inputChannel` and `followUpChannel` channels concurrently.
 # Keyword Arguments
 - `systemPrompt::String`: System prompt for the agent
 - `model`: LLM model to use
 - `tools::OrderedDict{String, agentTool}`: Available tools keyed by name (default: empty)
 - `messages::Vector{agentMessage}`: Initial conversation messages (default: empty)
 - `formatMsgForLLM::Function`: Convert agent messages to LLM message format (default: `defaultformatMsgForLLM`)
 - `llmCall::Function`: Function to invoke the LLM (required)
 - `prepareContext::Union{Function, Nothing}`: Preprocess/transform messages before sending to LLM (default: `nothing`)
 - `beforeToolCall::Union{Function, Nothing}`: Callback invoked before executing a tool call (default: `nothing`)
 - `afterToolCall::Union{Function, Nothing}`: Callback invoked after executing a tool call (default: `nothing`)
 - `prepareNextTurn::Union{Function, Nothing}`: Callback to prepare the next conversation turn (default: `nothing`)
 - `prepareNextTurnWithContext::Union{Function, Nothing}`: Same but receives context (default: `nothing`)
 - `sessionId::Union{String, Nothing}`: Optional session identifier (default: `nothing`)
 - `maxRetryDelayMs::Union{Int64, Nothing}`: Maximum delay between retries in milliseconds (default: `nothing`)
 - `parallelToolExecute::Bool`: Run tool calls in parallel (default: `false`)
 - `agentEventSink::Function`: Callback to receive agent events
 - `tool_store::Union{Any, Nothing}`: ToolStore for runtime tool registration (default: `nothing`)
 # Returns
 - A new `yiemAgent` instance with an active background task
 # Examples
 ```julia
 julia> store = ToolStore(name="agent1")
 julia> tools = loadTools(store, "src/tools")
 julia> agent = yiemAgent(systemPrompt="You are a helpful assistant", model=my_model, tools=tools, llmCall=..., tool_store=store)
 yiemAgent(agentState(...), Channel(...), Channel(...), Channel(...), ..., store)
 """
 function yiemAgent(
  ; systemPrompt::String="You are helpful assistant.",
    model=nothing,
    tools::OrderedDict{String, agentTool}=OrderedDict{String, agentTool}(),
    messages::Vector{agentMessage}=agentMessage[],
    prepareContext::Union{Function, Nothing}=nothing,
    formatMsgForLLM::Function=defaultformatMsgForLLM,
    llmCall::Function,
    beforeToolCall::Union{Function, Nothing}=nothing,
    afterToolCall::Union{Function, Nothing}=nothing,
    # prepareNextTurn::Union{Function, Nothing}=nothing,
    # prepareNextTurnWithContext::Union{Function, Nothing}=nothing,
    sessionId::Union{String, Nothing}=nothing,
    maxRetryDelayMs::Union{Int64, Nothing}=nothing,
    parallelToolExecute::Bool=false,
    agentEventSink::Function,
    tool_store::Union{Any, Nothing}=nothing,
  )
  # Create channels: input (user -> agent), followUp (async queue), output (agent -> user)
  inputChannel    = Channel(16)
  followUp    = Channel(32)
  outputChannel   = Channel(16)
  # Create struct with a placeholder task, then spawn and replace it
  agent = yiemAgent(
    agentState(systemPrompt, model, tools, messages),
    inputChannel,
    followUp,
    outputChannel,
    nothing,  # placeholder — replaced below
    prepareContext,
    formatMsgForLLM,
    llmCall,
    beforeToolCall,
    afterToolCall,
    # prepareNextTurn,
    # prepareNextTurnWithContext,
    sessionId,
    maxRetryDelayMs,
    parallelToolExecute,
    agentEventSink,
    tool_store,
  )
  # Spawn the background loop and attach it
  agent._agent_loop = @spawn _agent_loop(agent)
  return agent
 end
 """
    preparedToolCall(tool, toolCall, args)
@@ -1,9 +1,11 @@
 module utils
-export clearhistory, availableWineToText, prepareContext, formatMsgForLLM, validateRequiredArgs, validateToolArguments, _userMessageToOpenAI, 
+export clearhistory, availableWineToText, prepareContext, formatMsgForLLM, validateRequiredArgs, 
-        _assistantMessageToOpenAI, _toolResultMessageToOpenAI, _messageContentToBlocks
+      validateToolArguments, _userMessageToOpenAI, 
      _assistantMessageToOpenAI, _toolResultMessageToOpenAI, _messageContentToBlocks, _toolsToOpenAI,
      beforeToolCall, afterToolCall, agentEventSink
-using UUIDs, Dates, DataStructures, HTTP, JSON
+using UUIDs, Dates, DataStructures, HTTP, JSON, NATS
 using GeneralUtils
 using ..type
@@ -73,7 +75,6 @@ function availableWineToText(vecd::Vector)::String
 end
 """
    prepareContext(state::agentState) -> agentContext
@@ -108,7 +109,7 @@ prepareContext(state).messages == deepcopy(state.messages)
 # end
 ```
 """
-function prepareContext(state::agentState)::agentContext
+function prepareContext(state::agentState, agentEventSink)::agentContext
  #TODO filter tools from state.tools based on user intend in user message and tool description
  filteredTools = state.tools
@@ -155,7 +156,7 @@ formatMsgForLLm(ctx) == Dict("messages" => [
 ])
 ```
 """
-function formatMsgForLLM(ctx::agentContext)::Dict{String, Any}
+function formatMsgForLLM(ctx::agentContext, agentEventSink)::Dict{String, Any}
  """ openai message format example
  msg = Dict(
@@ -183,19 +184,31 @@ function formatMsgForLLM(ctx::agentContext)::Dict{String, Any}
          Dict("type" => "text", "text" => "let me check."),
        ]
      ),
    ],
    "tools"=> [
      Dict(
-        "role" => "toolResult",
+        "type" => "function",
-        "content" => [
+        "function" => Dict(
-          Dict("type" => "text", "text" => "name: Chateau Montelena ..."),
+          "name" => "getWeather",
-        ]
+          "description" => "Get current weather",
          "parameters" => Dict(
            "type" => "object",
            "properties" => Dict(
              "city" => Dict("type" => "string")
            ),
            "required" => ["city"]
          )
        )
      )
    ],
    "temperature" => 0.7
  )
  """
  openaiReadyMsg = Dict{String, Any}()
  # openaiReadyMsg["model"] = "gemma-4-E4B-it-UD-Q4_K_XL"
  messages = Vector{Dict{String, Any}}()
-
+  agentEventSink("formatMsgForLLM 1")
  # System prompt as system message
  if !isempty(ctx.systemPrompt)
    push!(messages, Dict(
@@ -203,19 +216,113 @@ function formatMsgForLLM(ctx::agentContext)::Dict{String, Any}
      "content" => [Dict("type" => "text", "text" => ctx.systemPrompt)]
    ))
  end
-
+  agentEventSink("formatMsgForLLM 2")
  # Conversation messages
  for msg in ctx.messages
    if msg isa userMessage
      push!(messages, _userMessageToOpenAI(msg))
    elseif msg isa assistantMessageToolCall
      push!(messages, _assistantMessageToolCallToOpenAI(msg))
    elseif msg isa assistantMessage
      push!(messages, _assistantMessageToOpenAI(msg))
    elseif msg isa toolResultMessage
      push!(messages, _toolResultMessageToOpenAI(msg))
    end
  end
  agentEventSink("formatMsgForLLM 3")
  # Convert ctx.tools into OpenAI tools format
  tools_array = _toolsToOpenAI(ctx.tools, agentEventSink)
  agentEventSink("formatMsgForLLM 4")
  openaiReadyMsg["messages"] = messages
  openaiReadyMsg["temperature"] = 0.7
  if !isempty(tools_array)
    openaiReadyMsg["tools"] = tools_array
  end
  return openaiReadyMsg
 end
 """
    beforeToolCall(context::beforeToolCallContext, signal::abortSignal) -> beforeToolCallResult
 Callback invoked before executing a tool call. Use this hook to inspect
 the tool call and decide whether to allow, block, or modify it.
 Common use cases:
  - Request user approval via UI before running destructive tools.
  - Validate business rules that cannot be expressed in the JSON schema.
  - Check final context (e.g. session state, rate limits, permissions).
 # Arguments
 - `context::beforeToolCallContext`: Contains the assistant message, tool call,
  validated arguments, and current conversation context.
 - `signal::abortSignal`: Signal that may be set to abort the operation.
 # Returns
 - `beforeToolCallResult(false, "N/A")` to allow the call to proceed.
 - `beforeToolCallResult(true, "Reason")` to block the call with a reason.
 - `nothing` is treated as allow (equivalent to `beforeToolCallResult(false, "N/A")`).
 # Example
 ```julia
 function beforeToolCall(context::beforeToolCallContext, signal::abortSignal)
    if context.toolCall.name == "deleteFile"
        # Block file deletion unless explicitly approved
        return beforeToolCallResult(true, "User must approve file deletion")
    end
    return beforeToolCallResult(false, "N/A")
 end
 ```
 """
 function beforeToolCall(context::beforeToolCallContext, signal::abortSignal
  )::beforeToolCallResult
  # final context check
  # seek user approval via UI
  # other check
  return beforeToolCallResult(false, "N/A")
 end
 """
    afterToolCall(context::afterToolCallContext, signal::abortSignal) -> Union{agentToolResult, Nothing}
 Callback invoked after a tool call finishes executing (before and after errors).
 Use this hook to post-process the tool result before it is fed back to the LLM.
 Common use cases:
  - Mask sensitive data (API keys, tokens) from result content.
  - Normalize usage tracking data into a consistent format.
  - Inspect the result and set `terminate: true` based on business logic
    (e.g. "if deployment failed, stop the agent rather than retrying").
  - Wrap error results in friendlier messages for the LLM to understand.
 # Arguments
 - `context::afterToolCallContext`: Contains the assistant message, tool call,
  arguments, raw result, error status, and current conversation context.
 - `signal::abortSignal`: Signal that may be set to abort the operation.
 # Returns
 - `nothing` to pass the result through unchanged.
 - `agentToolResult(...)` to return a modified result (content, details, usage,
  terminate flag can all be overridden).
 """
 function afterToolCall(context::afterToolCallContext, signal::abortSignal
  )::Union{agentToolResult, Nothing}
  # modify context.result if needed and return agentToolResult
  return nothing
 end
 #TODO
 function agentEventSink(x)
  return Dict("messages" => messages)
 end
@@ -230,6 +337,44 @@ function _userMessageToOpenAI(msg::userMessage)::Dict{String, Any}
 end
 """
 Convert an assistantMessageToolCall to OpenAI message format.
 Produces a message with role="assistant", content=null, and a tool_calls array:
 {
  "role": "assistant",
  "content": null,
  "tool_calls": [
    {
      "id": "call_1",
      "type": "function",
      "function": {
        "name": "get_weather",
        "arguments": "{\"location\": \"San Francisco, CA\"}"
      }
    }
  ]
 }
 """
 function _assistantMessageToolCallToOpenAI(msg::assistantMessageToolCall)::Dict{String, Any}
  tool_calls = Dict{String, Any}[]
  for tc in msg.toolCalls
    push!(tool_calls, Dict(
      "id" => tc.id,
      "type" => tc.type,
      "function" => Dict(
        "name" => tc.name,
        "arguments" => JSON.json(tc.arguments)
      )
    ))
  end
  return Dict(
    "role" => "assistant",
    "content" => nothing,
    "tool_calls" => tool_calls
  )
 end
 """
 Convert an assistantMessage to OpenAI message format.
 """
@@ -279,6 +424,40 @@ function _messageContentToBlocks(contents::Vector{messageContent})::Vector{Dict{
 end
 """
    _toolsToOpenAI(tools::Union{OrderedDict{String, agentTool}, Nothing}) -> Vector{Dict{String, Any}}
 Convert an OrderedDict of agentTool definitions into OpenAI function tool format.
 Returns an empty vector when `tools` is `nothing` or empty.
 # Examples
 ```julia
 _toolsToOpenAI(nothing)  # => Dict{String, Any}[]
 _toolsToOpenAI(tools)    # => [Dict("type" => "function", "function" => Dict("name" => "getWeather", ...))]
 ```
 """
 function _toolsToOpenAI(tools::Union{OrderedDict{String, agentTool}, Nothing}, agentEventSink)::Vector{Dict{String, Any}}
  tools_array = Vector{Dict{String, Any}}()
  agentEventSink("_toolsToOpenAI 1")
  agentEventSink(string(typeof(tools)))
  if tools !== nothing
    for (_, tool) in tools
      push!(tools_array, Dict(
        "type" => "function",
        "function" => Dict(
          "name" => tool.name,
          "description" => tool.description,
          "parameters" => tool.inputSchema
        )
      ))
    end
  end
  agentEventSink("_toolsToOpenAI 2")
  return tools_array
 end
 """
    validateRequiredArgs(args::Dict{String,Any}, inputSchema::Dict{String,Any}) -> Union{Nothing,String}
@@ -0,0 +1,642 @@
 using Test
 using YiemAgent
 using YiemAgent.agentCore
 using YiemAgent.type
 using JSON
 # Import the function from the private module scope
 import YiemAgent.agentCore: _extractToolCalls
@testset "_extractToolCalls" begin
    # ------------------------------------------------------------------ #
    # Format 1: response["message"]["tool_calls"] (LMStudio.jl style)     #
    # ------------------------------------------------------------------ #
    @testset "single tool call via message format" begin
        response = Dict{String,Any}(
            "finish_reason" => "tool_calls",
            "index" => 0,
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "content" => "",
                "reasoning_content" => "Let me check the weather.",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "getWeather",
                            "arguments" => "{\"city\":\"Bangkok, Thailand\"}",
                        ),
                        "id" => "tc_001",
                    )
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == "getWeather"
        @test tc_list[1].id == "tc_001"
        @test tc_list[1].type == "function"
        @test tc_list[1].arguments["city"] == "Bangkok, Thailand"
        @test assistant_msg isa assistantMessage
        @test assistant_msg.role == "assistant"
        @test assistant_msg.stopReason == "tool_calls"
        @test length(assistant_msg.content) == 1
        @test assistant_msg.content[1] isa reasoningContent
        @test assistant_msg.content[1].text == "Let me check the weather."
    end
    @testset "multiple tool calls via message format" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "content" => "",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "getWeather",
                            "arguments" => "{\"city\":\"Tokyo, Japan\"}",
                        ),
                        "id" => "tc_001",
                    ),
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "getTime",
                            "arguments" => "{\"timezone\":\"Asia/Tokyo\"}",
                        ),
                        "id" => "tc_002",
                    ),
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 2
        @test tc_list[1].name == "getWeather"
        @test tc_list[1].arguments["city"] == "Tokyo, Japan"
        @test tc_list[2].name == "getTime"
        @test tc_list[2].arguments["timezone"] == "Asia/Tokyo"
        @test assistant_msg.role == "assistant"
    end
    @testset "tool call with empty arguments string" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "listTools",
                            "arguments" => "{}",
                        ),
                        "id" => "tc_empty",
                    ),
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == "listTools"
        @test tc_list[1].arguments == Dict{String,Any}()
        @test assistant_msg.stopReason == "end_turn"
    end
    @testset "tool call with missing id falls back to uuid" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "getTime",
                            "arguments" => "{\"city\":\"NYC\"}",
                        ),
                    ),
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test !isempty(tc_list[1].id)
        @test tc_list[1].name == "getTime"
    end
    @testset "tool call with non-string arguments (pre-parsed dict)" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "getWeather",
                            "arguments" => Dict{String,Any}("city" => "London", "units" => "fahrenheit"),
                        ),
                        "id" => "tc_parsed",
                    ),
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].arguments["city"] == "London"
        @test tc_list[1].arguments["units"] == "fahrenheit"
    end
    @testset "tool call with api/provider/model/usage metadata" begin
        response = Dict{String,Any}(
            "api" => "openai",
            "provider" => "anthropic",
            "model" => "claude-3-opus",
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "getTime",
                            "arguments" => "{}",
                        ),
                        "id" => "tc_meta",
                    ),
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test assistant_msg.api == "openai"
        @test assistant_msg.provider == "anthropic"
        @test assistant_msg.model == "claude-3-opus"
    end
    # --------------------------------------------------------------- #
    # Format 2: response.content blocks (OpenAI API style)            #
    # --------------------------------------------------------------- #
    @testset "content blocks with tool_calls" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}("type" => "text", "text" => "Let me check."),
                Dict{String,Any}(
                    "type" => "tool_calls",
                    "tool_calls" => Any[
                        Dict{String,Any}(
                            "type" => "function",
                            "function" => Dict{String,Any}(
                                "name" => "getWeather",
                                "arguments" => "{\"city\":\"Paris\"}",
                            ),
                            "id" => "tc_block_1",
                        ),
                    ],
                ),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == "getWeather"
        @test tc_list[1].arguments["city"] == "Paris"
        # text block before tool_calls should be included in content
        @test length(assistant_msg.content) == 1
        @test assistant_msg.content[1].text == "Let me check."
    end
    @testset "content blocks with tool_call (single-call format)" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}(
                    "type" => "tool_call",
                    "id" => "tc_single",
                    "name" => "getTime",
                    "arguments" => Dict{String,Any}("timezone" => "Europe/London"),
                ),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == "getTime"
        @test tc_list[1].id == "tc_single"
        @test tc_list[1].arguments["timezone"] == "Europe/London"
    end
    @testset "content blocks with reasoning and text" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}("type" => "reasoning", "text" => "Thinking..."),
                Dict{String,Any}("type" => "text", "text" => "Here's the answer."),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test length(tc_list) == 0
        @test length(assistant_msg.content) == 2
        @test assistant_msg.content[1] isa reasoningContent
        @test assistant_msg.content[1].text == "Thinking..."
        @test assistant_msg.content[2] isa textContent
        @test assistant_msg.content[2].text == "Here's the answer."
    end
    @testset "content blocks with text and tool_call (tool_call not in content)" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}("type" => "text", "text" => "Sure, I'll check."),
                Dict{String,Any}(
                    "type" => "tool_call",
                    "id" => "tc_mix",
                    "name" => "getWeather",
                    "arguments" => Dict{String,Any}("city" => "London"),
                ),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == "getWeather"
        # text block included, tool_call block excluded from content
        @test length(assistant_msg.content) == 1
        @test assistant_msg.content[1].text == "Sure, I'll check."
    end
    # ------------------------------------------------------------------ #
    # assistantMessage construction                                       #
    # ------------------------------------------------------------------ #
    @testset "assistantMessage with error_message and errorMessage fallback" begin
        response = Dict{String,Any}(
            "error_message" => "rate limit",
            "content" => Any[Dict{String,Any}("type" => "text", "text" => "fail")],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test assistant_msg.errorMessage == "rate limit"
    end
    @testset "assistantMessage with usage tracking" begin
        response = Dict{String,Any}(
            "content" => Any[Dict{String,Any}("type" => "text", "text" => "hi")],
            "usage" => llmUsage(100, 50),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test assistant_msg.usage.inputTokens == 100
        @test assistant_msg.usage.outputTokens == 50
    end
    @testset "assistantMessage with invalid usage defaults to zero" begin
        response = Dict{String,Any}(
            "content" => Any[Dict{String,Any}("type" => "text", "text" => "hi")],
            "usage" => "invalid",
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test assistant_msg.usage.inputTokens == 0
        @test assistant_msg.usage.outputTokens == 0
    end
    @testset "reasoning_content as textContent" begin
        response = Dict{String,Any}(
            "reasoning_content" => textContent("internal thought"),
            "content" => Any[Dict{String,Any}("type" => "text", "text" => "output")],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test length(assistant_msg.content) == 2
        @test assistant_msg.content[1] isa reasoningContent
        @test assistant_msg.content[1].text == "internal thought"
        @test assistant_msg.content[2] isa textContent
        @test assistant_msg.content[2].text == "output"
    end
    # ------------------------------------------------------------------ #
    # No tool call cases                                                  #
    # ------------------------------------------------------------------ #
    @testset "no tool calls found" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}("type" => "text", "text" => "Hello world."),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test length(tc_list) == 0
        @test assistant_msg.stopReason == "end_turn"
    end
    @testset "empty message" begin
        response = Dict{String,Any}()
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test length(tc_list) == 0
        @test assistant_msg.role == "assistant"
        @test assistant_msg.stopReason == "end_turn"
        @test length(assistant_msg.content) == 0
    end
    @testset "message with empty tool_calls array" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "tool_calls" => Any[],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test length(tc_list) == 0
        @test assistant_msg.role == "assistant"
    end
    @testset "message field is not a Dict" begin
        response = Dict{String,Any}(
            "message" => "not a dict",
            "content" => Any[Dict{String,Any}("type" => "text", "text" => "fallback")],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test length(tc_list) == 0
        @test length(assistant_msg.content) == 1
    end
    @testset "Format 1 takes priority over Format 2" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "getWeather",
                            "arguments" => "{\"city\":\"Format1\"}",
                        ),
                        "id" => "tc_fmt1",
                    ),
                ],
            ),
            "content" => Any[
                Dict{String,Any}(
                    "type" => "tool_call",
                    "id" => "tc_fmt2",
                    "name" => "getTime",
                    "arguments" => Dict{String,Any}("city" => "Format2"),
                ),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == "getWeather"
    end
    # ------------------------------------------------------------------ #
    # Edge cases                                                          #
    # ------------------------------------------------------------------ #
    @testset "tool call with null arguments" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "getTime",
                            "arguments" => nothing,
                        ),
                        "id" => "tc_null",
                    ),
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == "getTime"
    end
    @testset "tool call with missing function key" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "id" => "tc_nofunc",
                    ),
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == ""
    end
    @testset "tool call with missing name in function block" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "assistant",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}("arguments" => "{}"),
                        "id" => "tc_noname",
                    ),
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == ""
    end
    @testset "message format with JSON.Object (JSON.parse result)" begin
        json_str = JSON.json(Dict(
            "message" => Dict(
                "role" => "assistant",
                "tool_calls" => [
                    Dict(
                        "type" => "function",
                        "function" => Dict("name" => "getWeather", "arguments" => "{\"city\":\"Test\"}"),
                        "id" => "tc_jsonobj",
                    ),
                ],
            ),
        ))
        parsed = JSON.parse(json_str)
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(parsed)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == "getWeather"
        @test tc_list[1].arguments["city"] == "Test"
    end
    @testset "tool_calls block with mixed content types (text + tool_calls)" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}("type" => "text", "text" => "I'll check both."),
                Dict{String,Any}(
                    "type" => "tool_calls",
                    "tool_calls" => Any[
                        Dict{String,Any}(
                            "type" => "function",
                            "function" => Dict{String,Any}(
                                "name" => "getWeather",
                                "arguments" => "{\"city\":\"London\"}",
                            ),
                            "id" => "tc_mix1",
                        ),
                        Dict{String,Any}(
                            "type" => "function",
                            "function" => Dict{String,Any}(
                                "name" => "getTime",
                                "arguments" => "{\"timezone\":\"UTC\"}",
                            ),
                            "id" => "tc_mix2",
                        ),
                    ],
                ),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 2
        @test tc_list[1].name == "getWeather"
        @test tc_list[2].name == "getTime"
        @test length(assistant_msg.content) == 1
        @test assistant_msg.content[1].text == "I'll check both."
    end
    @testset "tool_call block without arguments field" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}(
                    "type" => "tool_call",
                    "id" => "tc_noargs",
                    "name" => "getTime",
                ),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].arguments == Dict{String,Any}()
    end
    @testset "tool_calls block with empty tool_calls array" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}(
                    "type" => "tool_calls",
                    "tool_calls" => Any[],
                ),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test length(tc_list) == 0
    end
    @testset "tool_calls block with non-AbstractDict elements" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}(
                    "type" => "tool_calls",
                    "tool_calls" => Any["not a dict", 42, nothing],
                ),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test length(tc_list) == 0
    end
    @testset "content field is not a Vector" begin
        response = Dict{String,Any}(
            "content" => "not a vector",
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test length(tc_list) == 0
        @test length(assistant_msg.content) == 0
    end
    @testset "Dict-based response with all metadata fields" begin
        response = Dict{String,Any}(
            "api" => "openai",
            "provider" => "anthropic",
            "model" => "claude-3-sonnet",
            "content" => Any[
                Dict{String,Any}(
                    "type" => "tool_call",
                    "id" => "tc_meta",
                    "name" => "getTime",
                    "arguments" => Dict{String,Any}("city" => "Seoul"),
                ),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == true
        @test length(tc_list) == 1
        @test tc_list[1].name == "getTime"
        @test tc_list[1].arguments["city"] == "Seoul"
        @test assistant_msg.api == "openai"
        @test assistant_msg.provider == "anthropic"
        @test assistant_msg.model == "claude-3-sonnet"
    end
    @testset "default role is assistant" begin
        response = Dict{String,Any}(
            "content" => Any[Dict{String,Any}("type" => "text", "text" => "no role specified")],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test assistant_msg.role == "assistant"
    end
    @testset "tool call with custom role in message format" begin
        response = Dict{String,Any}(
            "message" => Dict{String,Any}(
                "role" => "custom_role",
                "tool_calls" => Any[
                    Dict{String,Any}(
                        "type" => "function",
                        "function" => Dict{String,Any}(
                            "name" => "getWeather",
                            "arguments" => "{}",
                        ),
                        "id" => "tc_role",
                    ),
                ],
            ),
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test assistant_msg.role == "custom_role"
    end
    @testset "image content block handling" begin
        response = Dict{String,Any}(
            "content" => Any[
                Dict{String,Any}(
                    "type" => "image_url",
                    "image_url" => Dict("url" => "data:image/png;base64,abc123"),
                ),
                Dict{String,Any}("type" => "text", "text" => "What is this?"),
            ],
        )
        has_toolcalls, tc_list, assistant_msg = _extractToolCalls(response)
        @test has_toolcalls == false
        @test length(assistant_msg.content) == 2
        @test assistant_msg.content[1] isa textContent
        @test assistant_msg.content[1].text == ""
        @test assistant_msg.content[2].text == "What is this?"
    end
 end
@@ -1,401 +1,5 @@
-using JSON, Dates, UUIDs, PrettyPrinting, LibPQ, Base64, DataFrames, DataStructures, HTTP, Base64,
+using Test
-      NATS, Base.Threads
+using YiemAgent
 using YiemAgent, GeneralUtils, msghandler
  function text2text_instruct_llm(sender_id::String, openai_msg::Dict{String, Any})
    payloads = [("msg", openai_msg, "dictionary")]  # List of tuples
    _, msg_envelope_json_str = msghandler.smartpack(
          config["externalservice"]["servicesloadbalancer"]["nats"], 
          payloads;
          sender_id=sender_id,
          msg_purpose="text2text",  
          broker_url=config["nats_server_info"]["url"],
          fileserver_url=config["externalservice"]["fileserver"]["url"])
    reply = NATS.request(agent_conn, 
                        config["externalservice"]["servicesloadbalancer"]["nats"], 
                        msg_envelope_json_str, timeout=120)
    incoming_env_json_str = String(reply.payload)
    incoming_env = msghandler.smartunpack(incoming_env_json_str)
    _llm_response = incoming_env["payloads"][1][2]
    llm_response = _llm_response["choices"][1]["message"]["content"]
    return llm_response
  end
  """ get a single text embedding from a LLM service
  Example
  text = ["hello"]
  embedding = get_embedding(text)
  """
  function get_embedding(text::AbstractArray{String})
    documents_dict = Dict("documents" => text)
    payloads = [("documents", documents_dict, "dictionary")]
    _, msg_envelope_json_str = msghandler.smartpack(
      config["externalservice"]["servicesloadbalancer"]["nats"], 
      payloads;   
      msg_purpose="embedding",  
      broker_url=config["nats_server_info"]["url"],
      fileserver_url=config["externalservice"]["fileserver"]["url"])
    reply = NATS.request(agent_conn, 
                        config["externalservice"]["servicesloadbalancer"]["nats"], 
                        msg_envelope_json_str, timeout=120)
    incoming_env_json_str = String(reply.payload)
    incoming_env = msghandler.smartunpack(incoming_env_json_str)
    embedding_response = incoming_env["payloads"][1][2]
    return embedding_response
  end
  """ sql = "SELECT * FROM wine;"
  result = execute_sql_winedb(sql)
  """
  function execute_sql_winedb(sql::T) where {T<:AbstractString}
    host_url, _port = split(config["externalservice"]["sommpanion_db"]["url"], ':')
    port = parse(Int, _port)
    dbname = "winedb"
    user = config["externalservice"]["sommpanion_db"]["user"]
    password = config["externalservice"]["sommpanion_db"]["password"]
    db_connection = LibPQ.Connection("host=$host_url port=$port dbname=$dbname user=$user password=$password")
    result = nothing
    try
      result = LibPQ.execute(db_connection, sql)  
    catch e
      LibPQ.close(db_connection)
    end
    LibPQ.close(db_connection)
    return result
  end
  """ find similar sql from vector database
  sql = "SELECT * FROM wine;"
  result, distance = similar_sql_vectordb(sql)
  """
  function similar_sql_vectordb(sql::T; maxdistance::Number=0.2) where {T<:AbstractString}
    tablename = "sqlllm_decision_repository"
    # get embedding of the query
    df = find_similar_text_from_vectordb(sql, tablename, 
          "function_input_embedding", execute_sql_vectordb)
    # println(df[1, [:id, :function_output]])
    row, col = size(df)
    distance = row == 0 ? Inf : df[1, :distance]  
    if row != 0 && distance < maxdistance
      # if there is usable SQL, return it.
      output_b64 = df[1, :function_output_base64]   # pick the closest match
      output_str = String(base64decode(output_b64))
      rowid = df[1, :id]
      println("\n--| similar sql found. row id $rowid, distance $distance ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
      pprintln(output_str)
      return (result=output_str, distance=distance)
    else
      println("\n--| similar sql not found, max distance $maxdistance ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
      return (result=nothing, distance=nothing)
    end
  end
  """ insert query and sql into vector database
  query = "get all wines from wine table"
  sql = "SELECT * FROM wine;"
  insert_sql_vectordb(query, sql)
  """
  function insert_sql_vectordb(query::T1, SQL::T2; maxdistance::Number=3
    ) where {T1<:AbstractString, T2<:AbstractString}
    tablename = "sqlllm_decision_repository"
    # get embedding of the query
    # query = state[:thoughtHistory][:question]
    df = find_similar_text_from_vectordb(query, tablename, 
                                    "function_input_embedding", execute_sql_vectordb)
    row, col = size(df)
    distance = row == 0 ? Inf : df[1, :distance]
    if row == 0 || distance > maxdistance # no close enough SQL stored in the database
      _query_embedding = get_embedding([query])
      _query_embedding = GeneralUtils.dictify(_query_embedding)
      # println("\n--- _query_embedding() ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
      # println(_query_embedding)
      # println("---\n")
      query_embedding = _query_embedding["data"][1]["embedding"]
      query = replace(query, "'" => "")
      sql_base64 = base64encode(SQL)
      sql_ = replace(SQL, "'" => "")
      sql = 
        """
        INSERT INTO $tablename (function_input, function_output, function_output_base64, function_input_embedding) VALUES ('$query', '$sql_', '$sql_base64', '$query_embedding');
        """
      # println("\n--| added new decision to vectorDB ", @__FILE__, ":", @__LINE__, " $(Dates.now())")
      # println(sql)
      _ = execute_sql_vectordb(sql)
    end
  end
  """ execute sql against vectordb
  sql = "SELECT * FROM wine;"
  result = execute_sql_vectordb(sql)
  """
  function execute_sql_vectordb(sql::T) where {T<:AbstractString}
    host_url, _port = split(config["externalservice"]["sommpanion_vectordb"]["url"], ':')
    port = parse(Int, _port)
    dbname = config["externalservice"]["sommpanion_vectordb"]["dbname"]
    user = config["externalservice"]["sommpanion_vectordb"]["user"]
    password = config["externalservice"]["sommpanion_vectordb"]["password"]
    DBconnection = LibPQ.Connection("host=$host_url port=$port dbname=$dbname user=$user password=$password")
    result = LibPQ.execute(DBconnection, sql)
    close(DBconnection)
    return result
  end
  """ search similar decision llm made from vectordb
  """
  function similar_sommelier_decision(recentevents::T1; maxdistance::Integer=3
    )::Union{AbstractDict, Nothing} where {T1<:AbstractString}
    tablename = "sommelier_decision_repository"
    # find similar
    df = find_similar_text_from_vectordb(recentevents, tablename, 
                                    "function_input_embedding", execute_sql_vectordb)
    row, col = size(df)
    distance = row == 0 ? Inf : df[1, :distance]
    if row != 0 && distance < maxdistance
      # if there is usable decision, return it.
      rowid = df[1, :id]
      println("\n--| found similar decision. row id $rowid, distance $distance ", @__FILE__, " ", @__LINE__)
      output_b64 = df[1, :function_output_base64]   # pick the closest match
      _output_str = String(base64decode(output_b64))
      output = copy(JSON.read(_output_str))
      return output
    else
      println("\n--| similar decision not found, max distance $maxdistance ", @__FILE__, " ", @__LINE__)
      return nothing
    end
  end
  """ search similar text from vectordb
  """
  function find_similar_text_from_vectordb(text::T1, tablename::T2, embeddingColumnName::T3,
    vectorDB::Function; limit::Integer=1
    )::DataFrame where {T1<:AbstractString, T2<:AbstractString, T3<:AbstractString}
    # get embedding from LLM service
    _embedding = get_embedding([text])
    _embedding = _embedding["data"][1]["embedding"]
    _embedding = "$_embedding"
    embedding = _embedding[4:end]
    # check whether there is close enough vector already store in vectorDB. if no, add, else skip 
    sql = """
          SELECT *, $embeddingColumnName <-> '$embedding' as distance
          FROM $tablename
          ORDER BY distance LIMIT $limit;
          """
    response = vectorDB(sql)
    df = DataFrame(response)
    return df
  end
  """ insert decision llm made to vectordb
  """
  function insert_sommelier_decision(recentevents::T1, decision::T2; maxdistance::Integer=5
    ) where {T1<:AbstractString, T2<:AbstractDict}
    tablename = "sommelier_decision_repository"
    # find similar
    df = find_similar_text_from_vectordb(recentevents, tablename, 
                                    "function_input_embedding", execute_sql_vectordb)
    row, col = size(df)
    distance = row == 0 ? Inf : df[1, :distance]
    if row == 0 || distance > maxdistance # no close enough SQL stored in the database
      _embedding = get_embedding([recentevents])[1]
      recentevents_embedding = _embedding["data"][1]["embedding"]
      recentevents = replace(recentevents, "'" => "")
      decision_json = JSON.json(decision)
      decision_base64 = base64encode(decision_json)
      decision = replace(decision_json, "'" => "")
      sql = 
      """
      INSERT INTO $tablename (function_input, function_output, function_output_base64, function_input_embedding) VALUES ('$recentevents', '$decision', '$decision_base64', '$recentevents_embedding');
      """
      println("\n--| added new decision to vectorDB ", @__FILE__, " ", @__LINE__)
      println(sql)
      _ = execute_sql_vectordb(sql)
    else
      println("--| similar decision previously cached, distance $distance ", @__FILE__, " ", @__LINE__)
    end
  end
 config = JSON.parsefile("./appconfig.json")
 sessionId = "0"
 backend_session_topic = "sommpanion.testsubject"
 agent_ch = Channel(8)
 agent_conn  = NATS.connect(config["nats_server_info"]["url"])
 sub2 = NATS.subscribe(agent_conn, backend_session_topic) do msg
  put!(agent_ch, msg)
 end
 agent_context = YiemAgent.agentcontext(
    text2text_instruct_llm,
    get_embedding,
    execute_sql_winedb,
    similar_sql_vectordb,
    insert_sql_vectordb,
    similar_sommelier_decision,
    insert_sommelier_decision
  )
  # can't instantiate
  agent = YiemAgent.sommelier(
    agent_context;
    name="Janie",
    id=sessionId,  # agent instance id
    retailername="Yiem Wine Ltd.",
    llmFormatName=""
  )
 image1_path = "test/large_image.png"
 image1_bytes = read(image1_path)
 image1_base64_string = base64encode(image1_bytes)
 mime_type = "image/png" 
 data1_uri = "data:$(mime_type);base64,$(image1_base64_string)"
 # 1. Read local file and encode to base64 string
 image2_path = "test/small_image.png"
 image2_bytes = read(image2_path)
 image2_base64_string = base64encode(image2_bytes)
 mime_type = "image/png" 
 data2_uri = "data:$(mime_type);base64,$(image2_base64_string)"
 # 3. Construct payload with the Data URI
 message = Dict(
    "role" => "user",
    "content" => [
      Dict("type" => "text", "text" => "Do you know type of wine in the image?"),
      Dict(
        "type" => "image_url",
        "image_url" => Dict("url" => data1_uri)
      )
    ]
  )
 result = YiemAgent.conversation(agent; userinput=message)
 println("\n$result")
 # message = Dict(
 #     "role" => "user",
 #     "content" => [
 #       Dict("type" => "text", "text" => 
 #       "
 #       เป็นงานเลี้ยงทั่วไป
 #       "),
 #     ]
 #   )
 # result = YiemAgent.conversation(agent; userinput=message)
 # println("\n$result")
 # message = Dict(
 #     "role" => "user",
 #     "content" => [
 #       Dict("type" => "text", "text" => "no thanks. that's all"),
 #     ]
 #   )
 # result = YiemAgent.conversation(agent; userinput=message)
 # println("\n$result")
 # message = Dict(
 #     "role" => "user",
 #     "content" => [
 #       Dict("type" => "text", "text" => "What about this wine?"),
 #       Dict(
 #         "type" => "image_url",
 #         "image_url" => Dict("url" => data2_uri)
 #       )
 #     ]
 #   )
 # result = YiemAgent.conversation(agent; userinput=message)
 # println("\n$result")
 include("toolTest.jl")
 include("_extractToolCalls.jl")
@@ -1,52 +1,36 @@
 using Test
 using Dates
 using YiemAgent
 using YiemAgent.toolRegistry
 using YiemAgent.type
 using YiemAgent.agentCore
-# Path to the real tools directory
+@testset "register_all_tools with toolStore" begin
 TOOLS_DIR = joinpath(@__DIR__, "..", "src", "tools")
@testset "loadTools with ToolStore" begin
    # ------------------------------------------------------------------ #
-    # 1. loadTools throws on non-existent directory                      #
+    # 1. register_all_tools registers all static tools + listTools       #
    # ------------------------------------------------------------------ #
-    store = ToolStore(name="test1")
+    store = toolStore(name="test1")
-    @test_throws ArgumentError loadTools(store, "/nonexistent/dir/that/does/not/exist")
+    loaded = register_all_tools(store)
    # ------------------------------------------------------------------ #
    # 2. loadTools throws if a .jl file does not define getTool()        #
    #    Must run BEFORE any other loadTools call (getTool binding       #
    #    persists in module scope after include()).                      #
    # ------------------------------------------------------------------ #
    bad_dir = mktempdir()
    write(joinpath(bad_dir, "noTool.jl"), "x = 42\n")
    @test_throws ArgumentError loadTools(store, bad_dir)
    # ------------------------------------------------------------------ #
    # 3. loadTools loads actual tool files from src/tools/               #
    # ------------------------------------------------------------------ #
    store2 = ToolStore(name="test2")
    loaded = loadTools(store2, TOOLS_DIR)
    @test !isempty(loaded)
-    @test length(loaded) == 3
+    @test length(loaded) == 4  # getWeather + getTime + writeTool + listTools
    names = [k for k in keys(loaded)]
    @test "getTime" in names
    @test "getWeather" in names
    @test "writeTool" in names
    @test "listTools" in names
    # ------------------------------------------------------------------ #
-    # 4. loadTools returns tools sorted alphabetically by filename       #
+    # 2. register_all_tools returns tools in registration order          #
    #    (getTime.jl < getWeather.jl < writeTool.jl)                      #
    #    because 'T' < 'W' in ASCII                                       #
    # ------------------------------------------------------------------ #
-    @test collect(keys(loaded))[1] == "getTime"
+    @test collect(keys(loaded))[1] == "getWeather"
-    @test collect(keys(loaded))[2] == "getWeather"
+    @test collect(keys(loaded))[2] == "getTime"
    @test collect(keys(loaded))[3] == "writeTool"
    @test collect(keys(loaded))[4] == "listTools"
    # ------------------------------------------------------------------ #
-    # 5. Verify loaded tool fields are correct                           #
+    # 3. Verify loaded tool fields are correct                           #
    # ------------------------------------------------------------------ #
    # getTime
    time_tool = loaded["getTime"]
@@ -73,7 +57,7 @@ TOOLS_DIR = joinpath(@__DIR__, "..", "src", "tools")
    @test "executeCode" in wt.inputSchema["required"]
    # ------------------------------------------------------------------ #
-    # 6. Tool execution returns valid results                            #
+    # 4. Tool execution returns valid results                            #
    # ------------------------------------------------------------------ #
    sig = nothing
    op = x -> x  # no-op partial result callback
@@ -97,16 +81,15 @@ TOOLS_DIR = joinpath(@__DIR__, "..", "src", "tools")
    # execute getWeather with units
    result_w2 = weather.execute("call-4", Dict{String,Any}("city" => "London", "units" => "fahrenheit"), sig, op)
-    @test occursin("72°F", result_w2.content[1].text)
+    @test occursin("72\u00b0F", result_w2.content[1].text)
    # ------------------------------------------------------------------ #
-    # 7. getTools / registerTool / clearTools (per-store isolation)      #
+    # 5. getTools / registerTool / clearTools (per-store isolation)      #
    # ------------------------------------------------------------------ #
-    store3 = ToolStore(name="test3")
+    store3 = toolStore(name="test3")
    registry_tools = getTools(store3)
    @test isempty(registry_tools)
    # listTool is not auto-registered anymore — each store starts empty
    # Register tools manually
    registerTool(store3, loaded["getTime"])
    registerTool(store3, loaded["getWeather"])
@@ -142,7 +125,7 @@ TOOLS_DIR = joinpath(@__DIR__, "..", "src", "tools")
    @test reg["manualTool"].parallelToolExecute == true
    # ------------------------------------------------------------------ #
-    # 8. getTools returns direct reference (mutations affect registry)   #
+    # 6. getTools returns direct reference (mutations affect registry)   #
    # ------------------------------------------------------------------ #
    copy1 = getTools(store3)
    copy2 = getTools(store3)
@@ -151,10 +134,10 @@ TOOLS_DIR = joinpath(@__DIR__, "..", "src", "tools")
    @test isempty(getTools(store3))  # mutation propagates
    # ------------------------------------------------------------------ #
-    # 9. Per-store isolation — two stores don't share tools              #
+    # 7. Per-store isolation — two stores don't share tools              #
    # ------------------------------------------------------------------ #
-    storeA = ToolStore(name="isolationA")
+    storeA = toolStore(name="isolationA")
-    storeB = ToolStore(name="isolationB")
+    storeB = toolStore(name="isolationB")
    registerTool(storeA, loaded["getTime"])
    registerTool(storeB, loaded["getWeather"])
@@ -171,3 +154,214 @@ TOOLS_DIR = joinpath(@__DIR__, "..", "src", "tools")
    @test isempty(getTools(storeA))
    @test !isempty(getTools(storeB))  # storeB unaffected
 end
@testset "listTool" begin
    store = toolStore(name="test_list")
    register_all_tools(store)  # auto-registers getWeather, getTime, writeTool + listTools
    # register_all_tools auto-registers listTool
    @test "listTools" in keys(store.tools)
    # listTool returns an agentTool, not a string or array
    list_t = listTool(store)
    @test list_t isa agentTool
    @test list_t.name == "listTools"
    @test list_t.label == "List Tools"
    @test isempty(list_t.inputSchema["required"])
    # Verify all tools appear (3 loaded + listTools = 4)
    result = list_t.execute("call-1", Dict{String,Any}(), nothing, x -> x)
    @test result isa agentToolResult
    @test result.content[1] isa textContent
    @test occursin("listTools", result.content[1].text)
    @test occursin("getWeather", result.content[1].text)
    @test occursin("getTime", result.content[1].text)
    @test occursin("writeTool", result.content[1].text)
    @test result.details["count"] == 4
    # Each listTool call creates an independent closure
    storeB = toolStore(name="test_listB")
    registerTool(storeB, store.tools["getWeather"])
    list_tB = listTool(storeB)
    resultA = list_t.execute("call-3", Dict{String,Any}(), nothing, x -> x)
    resultB = list_tB.execute("call-4", Dict{String,Any}(), nothing, x -> x)
    @test occursin("getWeather", resultA.content[1].text)
    @test occursin("getWeather", resultB.content[1].text)
    @test occursin("getTime", resultA.content[1].text)
    @test occursin("getTime", resultB.content[1].text) == false  # storeB only has getWeather
 end
@testset "executePreparedToolCall with static tools" begin
    # Tests executePreparedToolCall with statically loaded tools.
    # The world-age issue is resolved because tool.execute comes from
    # a statically included module, not a dynamically created one.
    store = toolStore(name="test_static")
    register_all_tools(store)
    weather_tool = store.tools["getWeather"]
    # Create a preparedToolCall that mimics what prepareToolCall() returns
    tool_call = agentToolCall(
        "function", "call-static-1", "getWeather",
        Dict{String,Any}("city" => "San Francisco")
    )
    prep = preparedToolCall(
        weather_tool, tool_call, Dict{String,Any}("city" => "San Francisco")
    )
    sig = abortSignal(false)
    # This call goes through: executePreparedToolCall -> prep.tool.execute(...)
    result = executePreparedToolCall(
        prep, sig, x -> nothing
    )
    @test result isa executedOutcome
    @test result.isError == false
    @test result.result.content[1] isa textContent
    @test occursin("San Francisco", result.result.content[1].text)
 end
@testset "executePreparedToolCall with validation (static tools)" begin
    # Tests executePreparedToolCall with a tool that has custom validation hooks.
    # This exercises the full tool execution path including validation.
    store = toolStore(name="test_static_validate")
    register_all_tools(store)
    time_tool = store.tools["getTime"]
    tool_call = agentToolCall(
        "function", "call-static-2", "getTime",
        Dict{String,Any}("timezone" => "America/New_York")
    )
    prep = preparedToolCall(
        time_tool, tool_call, Dict{String,Any}("timezone" => "America/New_York")
    )
    sig = abortSignal(false)
    result = executePreparedToolCall(
        prep, sig, x -> nothing
    )
    @test result isa executedOutcome
    @test result.isError == false
    @test result.result.content[1] isa textContent
    @test occursin("America/New_York", result.result.content[1].text)
 end
@testset "executeToolCallsSequential with static tools (full pipeline)" begin
    # Tests the full tool execution pipeline: executeToolCallsSequential
    # which calls prepareToolCall -> executePreparedToolCall -> finalizeExecutedToolCall
    # with statically loaded tools.
    store = toolStore(name="test_full_pipeline")
    register_all_tools(store)
    # Build agentContext from the store's tools
    tools = getTools(store)
    ctx = agentContext(
        "test system prompt",
        agentMessage[],
        tools
    )
    # Create an assistant message containing tool calls
    assistant_msg = assistantMessage(
        role="assistant",
        content=Vector{messageContent}(),
        api="openai",
        provider="test",
        model="test-model",
        usage=llmUsage(0, 0),
        stopReason="tool_calls",
        errorMessage=nothing,
        timestamp=now()
    )
    # Create tool calls for multiple statically loaded tools
    tool_calls = [
        agentToolCall(
            "function", "call-seq-1", "getWeather",
            Dict{String,Any}("city" => "Tokyo")
        ),
        agentToolCall(
            "function", "call-seq-2", "getTime",
            Dict{String,Any}("timezone" => "Europe/London")
        ),
    ]
    config = agentLoopConfig(
        nothing, nothing, "sequential"
    )
    sig = abortSignal(false)
    # Execute the full pipeline
    batch = executeToolCallsSequential(
        ctx, assistant_msg, tool_calls, config, sig, x -> nothing
    )
    @test batch.messages isa Vector{toolResultMessage}
    @test length(batch.messages) == 2
    @test batch.messages[1].toolName == "getWeather"
    @test batch.messages[1].isError == false
    @test occursin("Tokyo", batch.messages[1].content[1].text)
    @test batch.messages[2].toolName == "getTime"
    @test batch.messages[2].isError == false
    @test occursin("Europe/London", batch.messages[2].content[1].text)
 end
@testset "executeToolCallsParallel with static tools (full pipeline)" begin
    # Same as above but tests parallel execution path.
    store = toolStore(name="test_parallel")
    register_all_tools(store)
    tools = getTools(store)
    ctx = agentContext(
        "test system prompt",
        agentMessage[],
        tools
    )
    assistant_msg = assistantMessage(
        role="assistant",
        content=Vector{messageContent}(),
        api="openai",
        provider="test",
        model="test-model",
        usage=llmUsage(0, 0),
        stopReason="tool_calls",
        errorMessage=nothing,
        timestamp=now()
    )
    tool_calls = [
        agentToolCall(
            "function", "call-par-1", "getWeather",
            Dict{String,Any}("city" => "Paris")
        ),
        agentToolCall(
            "function", "call-par-2", "getTime",
            Dict{String,Any}("city" => "Sydney")
        ),
    ]
    config = agentLoopConfig(
        nothing, nothing, "parallel"
    )
    sig = abortSignal(false)
    batch = executeToolCallsParallel(
        ctx, assistant_msg, tool_calls, config, sig, x -> nothing
    )
    @test batch.messages isa Vector{toolResultMessage}
    @test length(batch.messages) == 2
    @test batch.messages[1].toolName == "getWeather"
    @test batch.messages[1].isError == false
    @test batch.messages[2].toolName == "getTime"
    @test batch.messages[2].isError == false
 end
@@ -0,0 +1,113 @@
 using Revise, JSON, Dates, UUIDs, PrettyPrinting, LibPQ, Base64, DataFrames, DataStructures, HTTP, Base64,
      NATS, Base.Threads
 using YiemAgent, GeneralUtils, msghandler
 """ Debug 
 using JSON, NATS, msghandler
 using NATS
 conn = NATS.connect("nats.yiem.cc")
 sub = NATS.subscribe(conn, "sommanion.debug") do msg
  payload = NATS.payload(msg)
  @info "debug" payload
  open("./log/error.log", "a") do io
    println(io, payload)
  end
 end
 NATS.publish(conn, "sommanion.debug", "order-123")
 # ---------------------------- inject this code into codebase to debug --------------------------- #
 try
  batch = someFunction(x, y, z)
 catch e
  bt = catch_backtrace()
  err_msg = sprint() do io
      showerror(io, e, bt)
      println(io)
  end
  agentEventSink(err_msg)
 end
 """
 struct text2textInstructLLM
  natsConn::NATS.Connection
  topic::String
  senderID::String
  fileserver_url::String
 end
 function (t::text2textInstructLLM)(openai_msg::Dict{String, Any})
  payloads = [("msg", openai_msg, "dictionary")]  # List of tuples
  _, msg_envelope_json_str = msghandler.smartpack(
        t.topic, 
        payloads;
        sender_id=t.senderID,
        msg_purpose="text2text",  
        fileserver_url=t.fileserver_url)
  reply = NATS.request(t.natsConn, t.topic, msg_envelope_json_str, timeout=180)
  incoming_env_json_str = String(reply.payload)
  incoming_env = msghandler.smartunpack(incoming_env_json_str)
  _llm_response = incoming_env["payloads"][1][2]
  llm_response = _llm_response["choices"][1]
  return llm_response
 end
 struct agentEventSink
  natsConn::NATS.Connection
  topic::String
  senderID::String
 end
 function (aes::agentEventSink)(msg::String)
  NATS.publish(aes.natsConn, aes.topic, msg)
 end
 config = JSON.parsefile("./appconfig.json")
 agent_conn  = NATS.connect(config["nats_server_info"]["url"])
 #WORKING load tools
 text2text_llm = text2textInstructLLM(agent_conn, 
                                    config["externalservice"]["servicesloadbalancer"]["nats"], 
                                    "sender", 
                                    config["externalservice"]["fileserver"]["url"])
 debugNats = agentEventSink(agent_conn, "sommanion.debug", "sender")
 agent = YiemAgent.yiemAgent(
  text2text_llm;
  agentEventSink=debugNats
 )
 msg = Dict(
        "role" => "user",
        "content" => [
          Dict("type" => "text", "text" => "What's the weather in Bangkok?"),
          # Dict(
          #   "type" => "image_url",
          #   "image_url" => Dict("url" => "data:mime_type;base64,image2_base64_string")
          # ),
        ]
      )
 push!(agent.inputChannel, msg)
Author	SHA1	Message	Date
ton	c7abf844ea	update	2026-08-16 20:14:54 +07:00
ton	00447e4dde	update	2026-08-16 18:25:26 +07:00
ton	25f8468696	text message process works	2026-08-16 17:24:29 +07:00
ton	a29a82b74c	update	2026-08-16 13:36:01 +07:00
ton	fd616409dd	update	2026-08-15 20:03:01 +07:00
ton	2543e6cbf1	static tool loading	2026-08-15 16:50:28 +07:00
ton	b8067c2d33	update	2026-08-13 18:14:46 +07:00
ton	510cf6126c	update	2026-08-13 05:56:08 +07:00
ton	90fb97a4e7	update	2026-08-12 23:47:10 +07:00
ton	77adeb3a6b	update	2026-08-12 20:10:51 +07:00
ton	4e592173a6	update	2026-08-12 14:37:11 +07:00
ton	0cacb5c94a	update	2026-08-12 04:35:34 +07:00
ton	6c96409969	update	2026-08-12 04:33:19 +07:00
ton	06d51c1ee9	update	2026-08-12 04:00:09 +07:00
ton	2ad3d1df38	update	2026-08-11 19:10:37 +07:00
ton	83c7770877	update	2026-08-11 18:57:53 +07:00
ton	bad14fbe7f	update	2026-08-11 18:42:34 +07:00
ton	578e8f55bd	update	2026-08-11 18:28:03 +07:00
ton	ae3e432b02	update	2026-08-11 17:35:56 +07:00
ton	7c14390400	update	2026-08-11 17:28:25 +07:00
ton	89885c1583	update	2026-08-11 16:43:48 +07:00
ton	5a27630ccf	update	2026-08-11 12:15:05 +07:00
ton	ed91260468	update	2026-08-10 20:37:28 +07:00
ton	c13aeb3a74	Merge pull request 'V0.8.0 verify tool use' (#43 ) from v0.8.0-verify_tool_use into v0.8.0 Reviewed-on: #43	2026-08-10 13:10:57 +00:00