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# YiemAgent
Julia framework for building agents with tool use.
Julia framework for building agents with tool use and MCP (Model Context Protocol) support.
## Getting Started
1. Install dependencies: `]add JSON, DataStructures, UUIDs, Dates, ...`
2. Create a `yiemAgent` with `loadTools("src/tools")`
3. Call `runAgent(agent, "message")` then `takeResponse(agent)`
1. Install dependencies: `]add JSON, DataStructures, UUIDs, Dates, NATS, DataFrames`
2. Create a callable `mcpServer` struct that communicates with an MCP server via NATS
3. Create a `yiemAgent` with an LLM callable and MCP server:
```julia
agent = YiemAgent.yiemAgent(llmCall; mcpServer=mcpServer, agentEventSink=yourSink)
```
4. Call `runAgent(agent, message)` then `takeResponse(agent)`
## Architecture
@@ -14,21 +18,122 @@ Julia framework for building agents with tool use.
src/
├── YiemAgent.jl # Module entry point
├── type.jl # Core types (messages, tools, agent state)
├── utils.jl # Message formatting, validation
├── utils.jl # Message formatting, context preparation, validation
├── agentCore.jl # Agent loop, tool execution pipeline
├── api.jl # Public API (runAgent, takeResponse, etc.)
└── tools/
├── registry.jl # Tool registry (loadTools, registerTool, listTools)
├── getWeather.jl # Weather lookup tool
├── getTime.jl # Time lookup tool
├── writeTool.jl # Create new tool files (self-modifying)
└── README.md # Tool development guide
├── api.jl # Public API (runAgent, takeResponse, followUp, stopAgent)
└── toolRegistry.jl # Tool store, MCP discovery, listTools registration
```
## Tool Development
## MCP Protocol
See `src/tools/README.md` for:
- Tool anatomy (schema, execute, getTool)
- Validation hooks
- Agent loop lifecycle
- Self-modifying tools (`writeTool`)
YiemAgent uses JSON-RPC 2.0 for MCP communication. The `mcpServer` callable struct must implement:
```julia
# tools/list — returns tool definitions
mcpServer("tools/list") # → Dict("jsonrpc"=>"2.0", "id"=>1, "result"=>Dict("tools"=>[...], "nextCursor"=>...))
# tools/call — executes a tool
mcpServer("tools/call", toolName, arguments) # → Dict("jsonrpc"=>"2.0", "id"=>2, "result"=>Dict("content"=>[...], "isError"=>...))
```
Protocol error responses include `"error"` instead of `"result"`:
```julia
Dict("jsonrpc"=>"2.0", "id"=>2, "error"=>Dict("code"=>-32602, "message"=>"..."))
```
### Implementing the MCP Server Client
You must provide a callable struct that communicates with your MCP server. Example using NATS:
```julia
struct mcpServer
natsConn::NATS.Connection
topic::String
senderID::String
fileserver_url::String
end
# tools/list implementation
function (c::mcpServer)(method::String)
if method != "tools/list"
error("mcpServer: unexpected method '$method' (expected 'tools/list')")
end
payload = Dict("jsonrpc" => "2.0", "id" => 1, "method" => method, "params" => Dict{String, Any}())
payloads = [("payload", payload, "dictionary")]
_, msg_envelope_json_str = msghandler.smartpack(
c.topic, payloads;
sender_id=c.senderID,
msg_purpose="mcp_tools_list",
fileserver_url=c.fileserver_url)
reply = NATS.request(c.natsConn, c.topic, msg_envelope_json_str, timeout=180)
incoming_env = msghandler.smartunpack(String(reply.payload))
return incoming_env["payloads"][1][2]
end
# tools/call implementation
function (c::mcpServer)(method::String, toolName::String, arguments::Dict{String, Any})
if method != "tools/call"
error("mcpServer: unexpected method '$method' (expected 'tools/call')")
end
payload = Dict(
"jsonrpc" => "2.0",
"id" => 2,
"method" => method,
"params" => Dict(
"name" => toolName,
"arguments" => arguments
)
)
payloads = [("payload", payload, "dictionary")]
_, msg_envelope_json_str = msghandler.smartpack(
c.topic, payloads;
sender_id=c.senderID,
msg_purpose="mcp_tool_call",
fileserver_url=c.fileserver_url)
reply = NATS.request(c.natsConn, c.topic, msg_envelope_json_str, timeout=180)
incoming_env = msghandler.smartunpack(String(reply.payload))
return incoming_env["payloads"][1][2]
end
```
See `test/runtest.jl` for the complete working example.
## Tool Discovery
Tools are discovered dynamically via MCP server:
1. `listTool` is the only pre-registered tool
2. When the LLM calls `listTools()`, tools are discovered from the MCP server and registered at runtime
3. Supports pagination via `nextCursor` for large tool sets
## Agent API
| Function | Description |
|----------|-------------|
| `runAgent(agent, msg)` | Send a message to the agent's input channel |
| `takeResponse(agent)` | Block and take the agent's response from output channel |
| `followUp(agent, msg)` | Send a follow-up message while agent is still processing |
| `stopAgent(agent)` | Gracefully stop the agent and close channels |
## Agent Lifecycle
1. `yiemAgent()` spawns a background task (`_agentLoop`) listening on `inputChannel` and `followUpChannel`
2. User messages enter via `runAgent()` or `followUp()`
3. `_processMessage()` handles LLM calls, tool execution, and conversation history
4. Tool execution follows three phases: `prepareToolCall` → `executePreparedToolCall` → `finalizeExecutedToolCall`
5. `beforeToolCall`/`afterToolCall` hooks allow pre/post-processing of tool calls
6. Tool `execute` functions can set `terminate=true` to stop the agent loop
## Hooks
| Hook | Signature | Purpose |
|------|-----------|---------|
| `prepareContext` | `(state, sink, llmCall) -> ctx` | Transform messages/context before LLM call |
| `formatMsgForLLM` | `(ctx, sink) -> dict` | Convert agent context to LLM API format |
| `beforeToolCall` | `(context, signal) -> result` | Block/allow tool execution |
| `afterToolCall` | `(context, signal) -> result` | Post-process tool results |
| `agentEventSink` | `(msg) -> nothing` | Callback for agent events/debug messages |
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@@ -1,41 +0,0 @@
# "tools/list" input:
mcpServer("tools/list")
# sending out payload before smart packed by msghandler
Dict(
"method"=> "tools/list"
)
# expected return after smart unpacked by msghandler
Dict("tools" => [
Dict("toolName" => "getWeather",
"title" => "Weather Lookup",
"description" => "Fetch current weather for a city.",
"inputSchema" => Dict("type"=>"object",
"properties" => Dict("city"=>Dict("type"=>"string", "description"=>"City name"),
"units"=>Dict("type"=>"string", "enum"=>["celsius","fahrenheit"], "default"=>"celsius")),
"required" => ["city"])
)
])
# "tools/call" input:
mcpServer("tools/call", "getWeather", Dict("city"=>"Tokyo", "units"=>"celsius"))
# sending out payload before smart packed by msghandler
Dict(
"method"=> "tools/call",
"tools"=> Dict("toolName"=>"getWeather", "arguments"=>Dict("city"=>"Tokyo", "units"=>"celsius"))
)
# expected return after smart unpacked by msghandler
Dict(
"toolName"=>"getWeather",
"content": [{"type": "text", "text": "Weather in Tokyo: Sunny, 22°C"}],
"isError": false
)
# If an error occurs, mcpServer returns after smart unpacked by msghandler:
Dict(
"toolName"=>"getWeather",
"content": [],
"error": Dict("code"=>1, "message"=>"City not found"),
"isError": true
)
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@@ -51,8 +51,8 @@ mutable struct yiemAgent <: agent # High-level agent wrapper
llmCall
# Callable struct for MCP server communication.
# Called as: mcpServer("tools/list") → returns parsed JSON dict of available tools
# mcpServer("tools/call", toolName, arguments) → returns tool result as parsed JSON dict
# Called as: mcpServer("tools/list") → returns JSON-RPC 2.0 parsed response
# mcpServer("tools/call", toolName, arguments) → returns JSON-RPC 2.0 parsed response
#
# # Example (weather tool)
# # User provides a callable struct
@@ -64,8 +64,8 @@ mutable struct yiemAgent <: agent # High-level agent wrapper
# end
#
# function (c::MyMCPClient)(method::String)
# payload = Dict("method"=> method)
# payloads = [("method", payload, "dictionary")]
# payload = Dict("jsonrpc" => "2.0", "id" => 1, "method" => method, "params" => Dict{String, Any}())
# payloads = [("payload", payload, "dictionary")]
# _, msg_envelope_json_str = msghandler.smartpack(
# c.topic, payloads; sender_id=c.senderID,
# msg_purpose="mcp_tools_list", fileserver_url=c.fileserver_url)
@@ -75,8 +75,9 @@ mutable struct yiemAgent <: agent # High-level agent wrapper
# end
#
# function (c::MyMCPClient)(method::String, toolName::String, arguments::Dict{String,Any})
# payload = Dict("method"=> method, "toolName"=> toolName, "arguments"=>arguments)
# payloads = [("method", payload, "dictionary"),]
# payload = Dict("jsonrpc" => "2.0", "id" => 2, "method" => method,
# "params" => Dict("name" => toolName, "arguments" => arguments))
# payloads = [("payload", payload, "dictionary"),]
# _, msg_envelope_json_str = msghandler.smartpack(
# c.topic, payloads; sender_id=c.senderID,
# msg_purpose="mcp_tool_call", fileserver_url=c.fileserver_url)
@@ -88,42 +89,41 @@ mutable struct yiemAgent <: agent # High-level agent wrapper
# # "tools/list" input:
# mcpServer("tools/list")
# # sending out payload before smart packed by msghandler:
# Dict("method"=> "tools/list")
# Dict("jsonrpc" => "2.0", "id" => 1, "method" => "tools/list", "params" => Dict{String, Any}())
# # expected return after smart unpacked by msghandler:
# Dict("tools" => [
# Dict(
# "toolName" => "getWeather",
# "title" => "Weather Lookup",
# "description" => "Fetch current weather for a city.",
# "inputSchema" => Dict("type"=>"object",
# "properties" => Dict("city"=>Dict("type"=>"string", "description"=>"City name"),
# "units"=>Dict("type"=>"string", "enum"=>["celsius","fahrenheit"], "default"=>"celsius")),
# "required" => ["city"])
# Dict(
# "jsonrpc" => "2.0", "id" => 1,
# "result" => Dict(
# "tools" => [
# Dict(
# "name" => "getWeather",
# "description" => "Fetch current weather for a city.",
# "inputSchema" => Dict("type"=>"object",
# "properties" => Dict("city"=>Dict("type"=>"string", "description"=>"City name"),
# "units"=>Dict("type"=>"string", "enum"=>["celsius","fahrenheit"], "default"=>"celsius")),
# "required" => ["city"])
# )
# ],
# "nextCursor" => nothing
# )
# ])
# )
#
# # "tools/call" input:
# mcpServer("tools/call", "getWeather", Dict("city"=>"Tokyo", "units"=>"celsius"))
# # sending out payload before smart packed by msghandler:
# Dict(
# "method"=> "tools/call",
# "toolName"=>"getWeather",
# "arguments"=>Dict("city"=>"Tokyo", "units"=>"celsius")
# )
# Dict("jsonrpc" => "2.0", "id" => 2, "method" => "tools/call",
# "params" => Dict("name" => "getWeather", "arguments" => Dict("city"=>"Tokyo", "units"=>"celsius")))
# # expected return after smart unpacked by msghandler (success):
# Dict(
# "toolName"=> "getWeather",
# "content" => [{"type" => "text", "text" => "Weather in Tokyo: Sunny, 22°C"}],
# "error"=> "",
# "isError" => false
# )
# # expected return after smart unpacked by msghandler (error):
# Dict(
# "toolName"=> "getWeather",
# "content" => [],
# "error" => Dict("code"=>1, "message"=>"City not found"),
# "isError" => true
# )
# Dict("jsonrpc" => "2.0", "id" => 2,
# "result" => Dict("content" => [{"type" => "text", "text" => "Weather in Tokyo: Sunny, 22°C"}],
# "isError" => false))
# # expected return after smart unpacked by msghandler (tool error):
# Dict("jsonrpc" => "2.0", "id" => 2,
# "result" => Dict("content" => [{"type" => "text", "text" => "Error: City 'Atlantis' not found."}],
# "isError" => true))
# # expected return after smart unpacked by msghandler (protocol error):
# Dict("jsonrpc" => "2.0", "id" => 2,
# "error" => Dict("code" => -32602, "message" => "Missing required argument 'city'"))
mcpServer
# Callback invoked before executing a tool call (ask for user permission/confirmation/abort, etc..)
+58 -11
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@@ -44,7 +44,10 @@ end
"""
Extract text from MCP tool result content array.
Handles MCP's content format: [{"type":"text","text":"..."}]
Handles JSON-RPC 2.0 result content format:
{"content": [{"type": "text", "text": "..."}], "isError": false}
Returns the joined text content, or JSON-serialized fallback if no text blocks found.
"""
function _extract_text_content(result::Dict)::String
content = get(result, "content", Any[])
@@ -66,11 +69,12 @@ end
Wrap an MCP tool definition as an `agentTool`.
The returned tool's `execute` function calls the MCP server's "tools/call"
method with the validated arguments.
method with the validated arguments. Responses are in JSON-RPC 2.0 format
with result/error envelopes handled by the execute function.
"""
function _wrap_mcp_tool(mcpserver, tool_def::Dict{String,Any})::agentTool
name = tool_def["toolName"]
title = get(tool_def, "title", name)
name = tool_def["name"]
title = get(tool_def, "title", get(tool_def, "label", name))
desc = get(tool_def, "description", "")
input_schema = get(tool_def, "inputSchema", Dict{String,Any}())
@@ -101,6 +105,17 @@ function _wrap_mcp_tool(mcpserver, tool_def::Dict{String,Any})::agentTool
try
response = mcpserver("tools/call", name, args)
# Parse JSON-RPC 2.0 response envelope
if haskey(response, "error")
rpc_error = response["error"]
err_msg = get(rpc_error, "message", "Unknown MCP error")
return agentToolResult(
[textContent("MCP error: $err_msg")],
Dict{Any,Any}("error" => err_msg),
nothing, false
)
end
result_data = get(response, "result", response)
content_text = _extract_text_content(result_data)
is_error = get(result_data, "isError", false)
@@ -128,9 +143,10 @@ end
"""
Discover and register MCP tools into `store.tools`.
Queries the MCP server via `mcpserver("tools/list")`, parses the response,
and registers each discovered tool. Skips tools already registered.
Returns `(new_count, tool_list_text)`.
Queries the MCP server via `mcpserver("tools/list")` (JSON-RPC 2.0 format),
parses the response envelope, and registers each discovered tool.
Handles pagination via `nextCursor` — keeps fetching until cursor is empty.
Skips tools already registered. Returns `(new_count, tool_list_text)`.
"""
function _register_mcp_tools(mcpserver, store::toolStore)::Tuple{Int, String}
if mcpserver === nothing
@@ -139,11 +155,23 @@ function _register_mcp_tools(mcpserver, store::toolStore)::Tuple{Int, String}
try
response = mcpserver("tools/list")
# Parse JSON-RPC 2.0 response envelope
if haskey(response, "error")
rpc_error = response["error"]
err_msg = get(rpc_error, "message", "Unknown MCP error")
return (0, "MCP tools/list failed: $err_msg")
end
if haskey(response, "result")
response = response["result"]
end
tools_array = response["tools"]
cursor = get(response, "nextCursor", nothing)
new_count = 0
for tool_def in tools_array
name = tool_def["toolName"]
name = tool_def["name"]
if haskey(store.tools, name)
continue
end
@@ -152,6 +180,25 @@ function _register_mcp_tools(mcpserver, store::toolStore)::Tuple{Int, String}
new_count += 1
end
# Paginate: fetch remaining tools if nextCursor is present
while cursor !== nothing && cursor !== ""
response = mcpserver("tools/list")
if haskey(response, "result")
response = response["result"]
end
tools_array = get(response, "tools", Any[])
cursor = get(response, "nextCursor", nothing)
for tool_def in tools_array
name = tool_def["name"]
if haskey(store.tools, name)
continue
end
wrapped = _wrap_mcp_tool(mcpserver, tool_def)
store.tools[name] = wrapped
new_count += 1
end
end
# Build readable tool list
lines = String[
"- $(t.name): $(t.label)$(t.description)"
@@ -169,11 +216,11 @@ end
"""
listTool(store::toolStore, mcpserver) -> agentTool
MCP-aware listTools tool.
MCP-aware listTools tool (JSON-RPC 2.0 protocol).
First call: queries the MCP server via `mcpserver("tools/list")`, registers
all discovered tools into the shared `store.tools` (in-place mutation),
then returns the full tool list.
all discovered tools into the shared `store.tools` (in-place mutation, with
pagination via nextCursor), then returns the full tool list.
Subsequent calls: returns the current list (tools remain registered).