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narawat
2026-10-02 20:10:04 +07:00
parent 4e476bd39d
commit befbf62e3b
1 changed files with 44 additions and 7 deletions
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src/agentCore.jl
+44 -7
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@@ -269,22 +269,26 @@ function _agentLoop(agent::yiemAgent)
else
# check followUp message after _processMessage() is done
if typeof(processingTask) == Task && istaskdone(processingTask) == true
# agent.eventSink("_processMessage() done")
# if agent runs is done but followUpChannel has messages,
# put new message in inputChannel instead
if isready(agent.followUpChannel)
while isready(agent.followUpChannel)
# agent.eventSink("put followUp message to input channel")
followUpMsg = take!(agent.followUpChannel)
put!(agent.inputChannel, followUpMsg)
end
processingTask = nothing # reset
result = nothing # reset
else # _processMessage() done and no followUp message.
# agent.eventSink("no followUp message")
result = deepcopy(agent._state.messages[end])
# filter out reasoningContent in-place
filter!(c -> !(c isa reasoningContent), result.content)
# format output
respondToUI = _assistantMessageToOpenAI(result)
put!(agent.outputChannel, respondToUI)
# agent.eventSink("put result to output channel")
processingTask = nothing # reset
result = nothing # reset
end
@@ -344,7 +348,7 @@ function _agentLoop(agent::yiemAgent)
showerror(io, e, bt)
println(io)
end
eventSink(errMsg; publish=true)
# agent.eventSink(errMsg; publish=true)
# On any error, send error response and exit the loop
@error "Agent loop failed" error=e
@@ -395,6 +399,8 @@ function _processMessage(
# loop until llmCall() response didn't use tool calls
final_response = nothing
# eventSink("▶ _processMessage: entered")
""" example message in inputChannel
Dict(
"role" => "user",
@@ -420,6 +426,7 @@ function _processMessage(
end
newUserMsg = OpenAiToUserMessage(newUserMsg_openai)
push!(agentMsgHistory, newUserMsg)
# eventSink("▶ _processMessage: user msg pushed")
end
# call prepareContext()
state = agentState(systemPrompt, nothing, tools, agentMsgHistory)
@@ -427,19 +434,22 @@ function _processMessage(
# Call formatMessagesForLLM() to format for LLM
formattedMessages = formatMessagesForLLM(preparedContext, eventSink)
eventSink("Thinking...")
# eventSink("▶ _processMessage: context")
""" response example
response = JSON.Object{String, Any}("finish_reason" => "tool_calls", "index" => 0, "message" => JSON.Object{String, Any}("role" => "assistant", "content" => "", "reasoning_content" => "Here's a thinking process:\n\n1. **Identify User Request**: The user is asking for the weather in Bangkok.\n2. **Locate Relevant Tool**: I have a `getWeather` function available.\n3. **Check Function Parameters**:\n - `city` (required): City and country, e.g., 'San Francisco, CA' or 'Tokyo, Japan'\n - `units` (optional, default \"celsius\"): Temperature scale (\"celsius\" or \"fahrenheit\")\n4. **Prepare Parameters**:\n - `city`: \"Bangkok, Thailand\" (adding country for clarity, though just \"Bangkok\" might work, following the example format is safer)\n - `units`: Not specified, so I'll use the default (\"celsius\")\n5. **Execute Tool Call**: Call `getWeather` with `city: \"Bangkok, Thailand\"`\n6. **Anticipate Response**: The function will return current weather and forecast data for Bangkok. I'll then format it nicely for the user.\n - *Self-Correction/Verification during thought*: The prompt says \"city: City and country, e.g., 'San Francisco, CA' or 'Tokyo, Japan'\". I'll use \"Bangkok, Thailand\". The `units` parameter is optional, so I'll omit it to use the default.\n - Proceed with tool call.✅\n", "tool_calls" => Any[JSON.Object{String, Any}("type" => "function", "function" => JSON.Object{String, Any}("name" => "getWeather", "arguments" => "{\"city\":\"Bangkok, Thailand\"}"), "id" => "6fOilR5QPcdppbAAHluhkRyUDu3oWMAL")]))
"""
response = llmCall(formattedMessages, eventSink=eventSink)
# Extract tool calls from LLM response content blocks
hasToolCalls, toolCallList, assistant_msg = _extractToolCalls(response)
hasToolCalls, toolCallList, assistant_msg = _extractToolCalls(response, eventSink)
# Add assistant message (tool calls or text) to history for next LLM turn
push!(agentMsgHistory, assistant_msg)
# eventSink("▶ _processMessage: LLM response")
if hasToolCalls && length(toolCallList) > 0
# eventSink("▶ _processMessage: tool calls")
# Build context and config for executeToolCalls
config = agentLoopConfig(
@@ -452,11 +462,13 @@ function _processMessage(
# call executeToolCalls()
toolResultBatch = executeToolCalls(preparedContext, assistant_msg, toolCallList, config,
signal, eventSink)
# eventSink("▶ _processMessage: tool batch")
# save toolResults to messages
for toolResult in toolResultBatch.messages
push!(agentMsgHistory, toolResult)
end
if toolResultBatch.terminate
# eventSink("▶ _processMessage: TERMINATE branch")
# If toolResultBatch requested termination, build a final response
final_content = [textContent("Tool execution completed.")]
for toolResult in toolResultBatch.messages
@@ -488,6 +500,7 @@ function _processMessage(
break
end
else
# eventSink("▶ _processMessage: FINAL response")
# LLM did not use tool calls —
break
end
@@ -498,10 +511,12 @@ function _processMessage(
println(io)
end
eventSink(err_msg; publish=true)
# eventSink(err_msg; publish=true)
# eventSink("▶ _processMessage: CAUGHT ERROR")
end
end
# eventSink("▶ _processMessage: exited")
return nothing
end
@@ -611,9 +626,12 @@ The message is constructed from:
1) llm_useTool = JSON.Object{String, Any}("finish_reason" => "tool_calls", "index" => 0, "message" => JSON.Object{String, Any}("role" => "assistant", "content" => "", "reasoning_content" => "Here's a thinking process:\n\n1. **Identify User Request**: The user is asking for the weather in Bangkok.\n2. **Locate Relevant Tool**: I have a `getWeather` function available.\n3. **Check Function Parameters**:\n - `city` (required): City and country, e.g., 'San Francisco, CA' or 'Tokyo, Japan'\n - `units` (optional, default \"celsius\"): Temperature scale (\"celsius\" or \"fahrenheit\")\n4. **Prepare Parameters**:\n - `city`: \"Bangkok, Thailand\" (adding country for clarity, though just \"Bangkok\" might work, following the example format is safer)\n - `units`: Not specified, so I'll use the default (\"celsius\")\n5. **Execute Tool Call**: Call `getWeather` with `city: \"Bangkok, Thailand\"`\n6. **Anticipate Response**: The function will return current weather and forecast data for Bangkok. I'll then format it nicely for the user.\n - *Self-Correction/Verification during thought*: The prompt says \"city: City and country, e.g., 'San Francisco, CA' or 'Tokyo, Japan'\". I'll use \"Bangkok, Thailand\". The `units` parameter is optional, so I'll omit it to use the default.\n - Proceed with tool call.✅\n", "tool_calls" => Any[JSON.Object{String, Any}("type" => "function", "function" => JSON.Object{String, Any}("name" => "getWeather", "arguments" => "{\"city\":\"Bangkok, Thailand\"}"), "id" => "6fOilR5QPcdppbAAHluhkRyUDu3oWMAL")]))
2) llm_notUseTool = JSON.Object{String, Any}("finish_reason" => "stop", "index" => 0, "message" => JSON.Object{String, Any}("role" => "assistant", "content" => "The weather in London, UK is currently Sunny with a temperature of 22°C.", "reasoning_content" => "The user asked for the weather in London.\nI called the `getWeather` tool for London, UK.\nThe response indicates it's Sunny and 22°C.\nI will convey this information to the user.\n"))
"""
function _extractToolCalls(response)
function _extractToolCalls(response, eventSink=nothing)
hasToolCalls = false
toolCallList = agentToolCall[]
# if eventSink !== nothing
# eventSink("▶ _extractToolCalls: parsing response")
# end
# Helper: parse args (JSON string -> Dict, or pass through)
parse_args(raw) = raw isa AbstractDict && !(raw isa Dict{String,Any}) ?
@@ -943,9 +961,11 @@ function prepareToolCall(
)::Union{preparedToolCall,immediateOutcome}
# pick a called tool from tool store
# eventSink("▶ prepareToolCall: resolving")
tool = get(context.tools, toolCall.name, nothing)
if tool === nothing
# eventSink("▶ prepareToolCall: NOT FOUND")
return immediateOutcome(createErrorToolResult("Tool $toolCall.name not found"), true)
end
@@ -953,6 +973,7 @@ function prepareToolCall(
# 1. prepare arguments (tool-specific transform)
prepared = prepareToolCallArguments(tool, toolCall)
validatedArgs = validateToolArguments(tool, prepared)
eventSink("▶ prepareToolCall: validated")
# 2. beforeToolCall hook — can block
if config.beforeToolCall !== nothing
@@ -1032,8 +1053,10 @@ function executePreparedToolCall(
eventSink,
)::executedOutcome
# eventSink("▶ execute: START")
try
result = prep.tool.execute(prep.toolCall.id, prep.args, signal, eventSink)
# eventSink("▶ execute: END")
return executedOutcome(result, false)
catch e
bt = catch_backtrace()
@@ -1041,7 +1064,8 @@ function executePreparedToolCall(
showerror(io, e, bt)
println(io)
end
eventSink(errMsg; publish=true)
# eventSink(errMsg; publish=true)
# eventSink("▶ execute: ERROR")
return executedOutcome(createErrorToolResult(sprint(showerror, e)), true)
end
@@ -1115,6 +1139,7 @@ function finalizeExecutedToolCall(
eventSink
)::finalizedOutcome
# eventSink("▶ finalize: START")
result = executed.result
isError = executed.isError
if config.afterToolCall !== nothing
@@ -1140,6 +1165,7 @@ function finalizeExecutedToolCall(
isError = true
end
end
# eventSink("▶ finalize: END")
return finalizedOutcome(prep.toolCall, result, isError)
end
@@ -1207,6 +1233,7 @@ function executeToolCallsSequential(
)::agentToolCallBatch
finalizedCalls = finalizedOutcome[]
messages = toolResultMessage[]
# eventSink("▶ executeToolCallsSequential: batch start")
for tc in toolCalls
prep = prepareToolCall(context, assistantMsg, tc, config, signal, eventSink)
@@ -1224,6 +1251,7 @@ function executeToolCallsSequential(
break
end
end
# eventSink("▶ executeToolCallsSequential: batch end")
return agentToolCallBatch(messages, shouldTerminate(finalizedCalls))
end
@@ -1294,6 +1322,7 @@ function executeToolCallsParallel(
)::agentToolCallBatch
entries = Union{finalizedOutcome,Task}[]
# eventSink("▶ executeToolCallsParallel: batch start")
for tc in toolCalls
toolExecStartEvent(tc.id, tc.name, tc.arguments)
@@ -1333,6 +1362,7 @@ function executeToolCallsParallel(
push!(messages, createToolResultMessage(f))
end
# eventSink("▶ executeToolCallsParallel: batch end")
return agentToolCallBatch(messages, shouldTerminate(finalizedCalls))
end
@@ -1403,6 +1433,7 @@ function executeToolCalls(
break
end
end
# eventSink("▶ executeToolCalls: dispatch")
if config.toolExecution == "sequential" || hasSequential
return executeToolCallsSequential(context, assistantMsg, toolCalls, config, signal,
eventSink)
@@ -1447,8 +1478,11 @@ OpenAiToUserMessage(msg)
# => userMessage("user", [textContent("Hello")], DateTime(...))
```
"""
function OpenAiToUserMessage(msg::AbstractDict)::userMessage
function OpenAiToUserMessage(msg::AbstractDict, eventSink=nothing)::userMessage
content_blocks = Vector{messageContent}()
# if eventSink !== nothing
# eventSink("▶ OpenAiToUserMessage: parsing")
# end
raw_content = get(msg, "content", Any[])
if raw_content isa Vector
@@ -1472,6 +1506,9 @@ function OpenAiToUserMessage(msg::AbstractDict)::userMessage
end
end
# if eventSink !== nothing
# eventSink("▶ OpenAiToUserMessage: done")
# end
return userMessage(content=content_blocks)
end