759 lines
27 KiB
Markdown
759 lines
27 KiB
Markdown
# AgentCore.jl - AgentLoop Component Deep Dive
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## AgentLoop Architecture
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```
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┌─────────────────────────────────────────────────────────────────────────────┐
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│ AgentLoop Layer │
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└─────────────────────────────────────────────────────────────────────────────┘
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┌─────────────────────────────────────────────────────────────────────────────┐
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│ Public API │
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└─────────────────────────────────────────────────────────────────────────────┘
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agentLoop()
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├─ prompts: Vector{AgentMessage}
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├─ context: AgentContext
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├─ config: AgentLoopConfig
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├─ signal: Union{Nothing, AbortSignal}
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└─ stream_fn: StreamFn
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└─ Returns: EventStream
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agentLoopContinue()
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├─ context: AgentContext
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├─ config: AgentLoopConfig
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├─ signal: Union{Nothing, AbortSignal}
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└─ stream_fn: StreamFn
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└─ Returns: EventStream
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┌─────────────────────────────────────────────────────────────────────────────┐
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│ Internal Flow │
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└─────────────────────────────────────────────────────────────────────────────┘
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┌─────────────────────────────────────────────────────────────────────────────┐
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│ 1. runAgentLoop() ── Entry point for new conversation │
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│ - Creates copy of prompts │
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│ - Appends prompts to context.messages │
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│ - Emits AgentStartEvent │
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│ - Emits TurnStartEvent │
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│ - Emits MessageStart/End for each prompt │
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│ - Calls runLoop() │
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└─────────────────────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────────────────┐
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│ 2. runLoop() ── Main event loop │
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│ ┌────────────────────────────────────────────────────────────────────┐ │
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│ │ while true: │ │
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│ │ 1. Get steering/follow-up messages (if any) │ │
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│ │ 2. Emit messages as UserMessage │ │
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│ │ 3. streamAssistantResponse() │ │
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│ │ 4. Execute tool calls (sequential or parallel) │ │
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│ │ 5. Emit TurnEndEvent │ │
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│ │ 6. prepare_next_turn (optional) │ │
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│ │ 7. should_stop_after_turn? (check termination) │ │
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│ │ 8. Loop continues if not terminated │ │
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│ └────────────────────────────────────────────────────────────────────┘ │
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└─────────────────────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────────────────┐
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│ 3. streamAssistantResponse() ── LLM interaction │
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│ - transform_context (optional) │
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│ - convert_to_llm (transform to Message[]) │
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│ - Call stream_fn (LLM API) │
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│ - Stream response deltas │
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│ - Emit MessageStart/Update/End events │
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└─────────────────────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────────────────┐
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│ 4. executeToolCalls() ── Tool execution │
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│ ┌────────────────────────────────────────────────────────────────────┐ │
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│ │ if EXECUTION_SEQUENTIAL || has_sequential_tool: │ │
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│ │ executeToolCallsSequential() │ │
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│ │ else: │ │
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│ │ executeToolCallsParallel() │ │
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│ └────────────────────────────────────────────────────────────────────┘ │
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└─────────────────────────────────────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────────────────┐
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│ 5. AgentEndEvent ── Final event with all messages │
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└─────────────────────────────────────────────────────────────────────────────┘
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```
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## AgentLoopConfig
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```julia
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struct AgentLoopConfig
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model::Model
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reasoning::Union{ThinkingLevel, Nothing}
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session_id::Union{String, Nothing}
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on_payload::Union{Function, Nothing}
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on_response::Union{Function, Nothing}
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transport::String
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thinking_budgets::Union{Dict{String, Int64}, Nothing}
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max_retry_delay_ms::Union{Int64, Nothing}
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tool_execution::ToolExecutionMode
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before_tool_call::Union{Function, Nothing}
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after_tool_call::Union{Function, Nothing}
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prepare_next_turn::Union{Function, Nothing}
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convert_to_llm::Function
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transform_context::Union{Function, Nothing}
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get_api_key::Union{Function, Nothing}
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get_steering_messages::Union{Function, Nothing}
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get_follow_up_messages::Union{Function, Nothing}
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end
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```
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## Main Functions
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### agentLoop()
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```julia
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function agentLoop(
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prompts::Vector{AgentMessage},
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context::AgentContext,
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config::AgentLoopConfig,
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signal::Union{Nothing, AbortSignal},
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stream_fn::StreamFn,
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)::EventStream
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```
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**Purpose**: Start a new conversation with initial prompts
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**Flow**:
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1. Create event stream
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2. Spawn thread to run agent loop
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3. Return stream for event consumption
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```julia
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stream = agentLoop(
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[UserMessage("user", [TextContent("Hello")], timestamp)],
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AgentContext(system_prompt, messages, tools),
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config,
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nothing,
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stream_fn,
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)
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# Consume events
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for event in stream
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if event isa MessageEndEvent
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println("Received: $(event.message)")
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end
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end
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```
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### runAgentLoop()
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```julia
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function runAgentLoop(
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prompts::Vector{AgentMessage},
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context::AgentContext,
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config::AgentLoopConfig,
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emit::AgentEventSink,
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signal::Union{Nothing, AbortSignal},
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stream_fn::StreamFn,
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)::Vector{AgentMessage}
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```
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**Purpose**: Execute agent loop with initial prompts
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**Flow**:
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1. Copy prompts to new_messages
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2. Append prompts to context.messages
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3. Emit AgentStartEvent
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4. For each prompt: emit MessageStartEvent, MessageEndEvent
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5. Call runLoop()
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### runLoop() - The Heart of AgentLoop
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```julia
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function runLoop(
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initial_context::AgentContext,
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new_messages::Vector{AgentMessage},
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initial_config::AgentLoopConfig,
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signal::Union{Nothing, AbortSignal},
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emit::AgentEventSink,
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stream_function::StreamFn,
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)::Nothing
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```
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**Main Loop**:
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```julia
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current_context = initial_context
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config = initial_config
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first_turn = true
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pending_messages = get_steering_messages()
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while true
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# Process steering/follow-up messages
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while !isempty(pending_messages)
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if !first_turn
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emit(TurnStartEvent())
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else
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first_turn = false
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end
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# Emit pending messages
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for message in pending_messages
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emit(MessageStartEvent(message))
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emit(MessageEndEvent(message))
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push!(current_context.messages, message)
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push!(new_messages, message)
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end
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pending_messages = []
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end
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# Stream assistant response
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message = streamAssistantResponse(
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current_context,
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config,
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signal,
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emit,
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stream_function,
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)
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push!(new_messages, message)
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# Check for errors
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if message.stop_reason in ("error", "aborted")
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emit(TurnEndEvent(message, []))
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emit(AgentEndEvent(new_messages))
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return
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end
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# Execute tool calls
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tool_calls = filter(c -> c isa ToolCall, message.content)
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tool_results = []
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has_more_tool_calls = false
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if !isempty(tool_calls)
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executed_batch = if message.stop_reason == "length"
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failToolCallsFromTruncatedMessage(tool_calls, emit)
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else
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executeToolCalls(
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current_context,
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message,
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config,
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signal,
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emit,
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)
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end
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append!(tool_results, executed_batch.messages)
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has_more_tool_calls = !executed_batch.terminate
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for result in tool_results
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push!(current_context.messages, result)
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push!(new_messages, result)
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end
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end
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emit(TurnEndEvent(message, tool_results))
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# Prepare next turn (optional)
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next_turn_context = PrepareNextTurnContext(
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message, tool_results, current_context, new_messages
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)
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next_turn_snapshot = prepare_next_turn(config, next_turn_context)
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if !isnothing(next_turn_snapshot)
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current_context = next_turn_snapshot.context
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config = AgentLoopConfig(
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model = next_turn_snapshot.model,
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reasoning = next_turn_snapshot.thinking_level,
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# ... other config fields
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)
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end
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# Check if should stop
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if should_stop_after_turn(config, next_turn_context)
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emit(AgentEndEvent(new_messages))
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return
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end
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# Get next pending messages
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pending_messages = get_steering_messages()
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# Check follow-up messages
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follow_up_messages = get_follow_up_messages()
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if !isempty(follow_up_messages)
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pending_messages = follow_up_messages
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continue
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end
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break
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end
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emit(AgentEndEvent(new_messages))
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```
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### streamAssistantResponse()
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```julia
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function streamAssistantResponse(
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context::AgentContext,
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config::AgentLoopConfig,
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signal::Union{Nothing, AbortSignal},
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emit::AgentEventSink,
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stream_function::StreamFn,
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)::AssistantMessage
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```
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**Flow**:
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1. Get messages from context
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2. Apply transform_context (optional)
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3. Convert to LLM messages with convert_to_llm
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4. Create Context object
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5. Resolve API key
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6. Call stream_fn with model, context, and config
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7. Stream events:
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- "start" → MessageStartEvent
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- "text_start", "text_delta", "text_end" → MessageUpdateEvent
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- "done", "error" → MessageEndEvent
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### executeToolCalls()
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```julia
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function executeToolCalls(
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current_context::AgentContext,
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assistant_message::AssistantMessage,
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config::AgentLoopConfig,
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signal::Union{Nothing, AbortSignal},
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emit::AgentEventSink,
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)::ExecutedToolCallBatch
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```
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**Logic**:
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```julia
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tool_calls = filter(c -> c isa ToolCall, assistant_message.content)
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# Check if any tool requires sequential execution
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has_sequential = any(tc -> begin
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tool = findfirst(t -> t.name == tc.name, current_context.tools)
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!isnothing(tool) && tool.execution_mode == EXECUTION_SEQUENTIAL
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end, tool_calls)
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# Determine execution mode
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if config.tool_execution == EXECUTION_SEQUENTIAL || has_sequential
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executeToolCallsSequential(...)
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else
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executeToolCallsParallel(...)
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end
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```
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### executeToolCallsSequential()
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```julia
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function executeToolCallsSequential(
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current_context::AgentContext,
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assistant_message::AssistantMessage,
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tool_calls::Vector{ToolCall},
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config::AgentLoopConfig,
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signal::Union{Nothing, AbortSignal},
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emit::AgentEventSink,
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)::ExecutedToolCallBatch
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```
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**Flow** (for each tool call):
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1. Emit ToolExecutionStartEvent
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2. prepareToolCall() → PreparedToolCall or ImmediateToolCallOutcome
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3. If prepared: executePreparedToolCall()
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4. finalizeExecutedToolCall()
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5. Emit ToolExecutionEndEvent
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6. Emit ToolResultMessage
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7. Check if signal.aborted → break
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### executeToolCallsParallel()
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```julia
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function executeToolCallsParallel(
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current_context::AgentContext,
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assistant_message::AssistantMessage,
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tool_calls::Vector{ToolCall},
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config::AgentLoopConfig,
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signal::Union{Nothing, AbortSignal},
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emit::AgentEventSink,
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)::ExecutedToolCallBatch
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```
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**Flow**:
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1. For each tool call:
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- If immediate: execute and add to finalized_calls
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- If prepared: create closure, add to finalized_calls
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2. For each entry in finalized_calls:
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- If closure: execute closure
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- If finalized: use as-is
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3. Collect all tool results
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4. Return batch
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### prepareToolCall()
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```julia
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function prepareToolCall(
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current_context::AgentContext,
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assistant_message::AssistantMessage,
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tool_call::ToolCall,
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config::AgentLoopConfig,
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signal::Union{Nothing, AbortSignal},
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)::Union{PreparedToolCall, ImmediateToolCallOutcome}
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```
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**Flow**:
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1. Find tool by name
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2. If not found → ImmediateToolCallOutcome (error)
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3. before_tool_call hook (optional)
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4. prepareToolCallArguments() (optional)
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5. validateToolArguments()
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6. Return PreparedToolCall
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### executePreparedToolCall()
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```julia
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function executePreparedToolCall(
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prepared::PreparedToolCall,
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signal::Union{Nothing, AbortSignal},
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emit::AgentEventSink,
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)::ExecutedToolCallOutcome
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```
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**Flow**:
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1. Call tool.execute(id, args, signal, on_update)
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2. Collect update events (if any)
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3. Wait for all update events
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4. Return ExecutedToolCallOutcome(result)
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### finalizeExecutedToolCall()
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```julia
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function finalizeExecutedToolCall(
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current_context::AgentContext,
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assistant_message::AssistantMessage,
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prepared::PreparedToolCall,
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executed::ExecutedToolCallOutcome,
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config::AgentLoopConfig,
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signal::Union{Nothing, AbortSignal},
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)::FinalizedToolCallOutcome
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```
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**Flow**:
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1. after_tool_call hook (optional)
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2. Return FinalizedToolCallOutcome
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### createToolResultMessage()
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```julia
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function createToolResultMessage(
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finalized::FinalizedToolCallOutcome,
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)::ToolResultMessage
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```
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**Creates**:
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```julia
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ToolResultMessage(
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"toolResult",
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finalized.tool_call.id,
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finalized.tool_call.name,
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finalized.result.content,
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finalized.result.details,
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finalized.result.usage,
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finalized.result.added_tool_names,
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finalized.is_error,
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timestamp,
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)
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```
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## Execution Modes
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### Sequential Execution
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```
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┌─────────────────────────────────────────────────────────────────────────┐
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│ Sequential Execution Flow │
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└─────────────────────────────────────────────────────────────────────────┘
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┌──────┐
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│ TC1 │ ──► prepareToolCall()
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└──────┘ │
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▼
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┌──────────────┐
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│ execute() │ ──► Wait for completion
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└──────────────┘ │
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│ ▼
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├───────────── createToolResultMessage()
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│ │
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▼ ▼
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┌──────────────┐ ┌──────────┐
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│ TC2 │ ──► │ │ Result1 │
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└──────┘ └──────────┘
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│
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▼
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┌──────────────┐
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│ execute() │
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└──────────────┘
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│
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▼
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┌──────────────┐
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│ TC3 │ ──► │
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└──────┘ │
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│ ▼
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├───── createToolResultMessage()
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│ │
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▼ ▼
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┌──────────────┐ ┌──────────┐
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│ execute() │ │ │ Result2 │
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└──────────────┘ └──────────┘
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│
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▼
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┌──────────┐
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│ Result3 │
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└──────────┘
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```
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### Parallel Execution
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```
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┌─────────────────────────────────────────────────────────────────────────┐
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│ Parallel Execution Flow │
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└─────────────────────────────────────────────────────────────────────────┘
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┌──────┐
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│ TC1 │ ──► prepareToolCall() ──► create closure ──► ┐
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└──────┘ │
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│
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┌──────┐ │
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│ TC2 │ ──► prepareToolCall() ──► create closure ──► ├─► All closures queued
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└──────┘ │
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│
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┌──────┐ │
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│ TC3 │ ──► prepareToolCall() ──► create closure ──► ┘
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└──────┘
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│
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▼
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┌───────────────────────┐
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│ for closure in closures│
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│ execute_closure() │
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└───────────────────────┘
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│
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▼
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┌───────────────────────┐
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│ Collect all results │
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└───────────────────────┘
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│
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▼
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┌───────────────────────┐
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│ createToolResult() │
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└───────────────────────┘
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```
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## Helper Types
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### ExecutedToolCallBatch
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```julia
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struct ExecutedToolCallBatch
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messages::Vector{ToolResultMessage}
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terminate::Bool
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end
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```
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- `messages`: All tool result messages
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- `terminate`: If true, stop agent after this batch
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### PrepareNextTurnContext
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```julia
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struct PrepareNextTurnContext
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message::AssistantMessage
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tool_results::Vector{ToolResultMessage}
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context::AgentContext
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new_messages::Vector{AgentMessage}
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end
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```
|
|
|
|
Used by prepare_next_turn hook to decide next steps.
|
|
|
|
### Before/After Tool Call Contexts
|
|
|
|
```julia
|
|
struct BeforeToolCallContext
|
|
assistant_message::AssistantMessage
|
|
tool_call::ToolCall
|
|
args::Any
|
|
context::AgentContext
|
|
end
|
|
|
|
struct BeforeToolCallResult
|
|
block::Union{Bool, Nothing}
|
|
reason::Union{String, Nothing}
|
|
end
|
|
|
|
struct AfterToolCallContext
|
|
assistant_message::AssistantMessage
|
|
tool_call::ToolCall
|
|
args::Any
|
|
result::AgentToolResult
|
|
is_error::Bool
|
|
context::AgentContext
|
|
end
|
|
|
|
struct AfterToolCallResult
|
|
content::Union{Vector{MessageContent}, Nothing}
|
|
details::Union{Any, Nothing}
|
|
is_error::Union{Bool, Nothing}
|
|
usage::Union{Usage, Nothing}
|
|
terminate::Union{Bool, Nothing}
|
|
end
|
|
```
|
|
|
|
## Event Emission Timeline
|
|
|
|
```
|
|
AgentStartEvent
|
|
│
|
|
├─ TurnStartEvent (turn 1)
|
|
│ │
|
|
│ ├─ MessageStartEvent (user prompt)
|
|
│ ├─ MessageEndEvent (user prompt)
|
|
│ │
|
|
│ ├─ MessageStartEvent (assistant)
|
|
│ ├─ MessageUpdateEvent (text delta)
|
|
│ ├─ MessageUpdateEvent (tool call delta)
|
|
│ ├─ MessageEndEvent (assistant)
|
|
│ │
|
|
│ ├─ ToolExecutionStartEvent (tc1)
|
|
│ ├─ ToolExecutionEndEvent (tc1)
|
|
│ │
|
|
│ ├─ ToolExecutionStartEvent (tc2)
|
|
│ ├─ ToolExecutionEndEvent (tc2)
|
|
│ │
|
|
│ └─ TurnEndEvent (assistant, tool_results)
|
|
│
|
|
├─ TurnStartEvent (turn 2 - if needed)
|
|
│ │
|
|
│ ├─ MessageStartEvent (steering/follow-up)
|
|
│ ├─ MessageEndEvent (steering/follow-up)
|
|
│ │
|
|
│ ├─ MessageStartEvent (assistant)
|
|
│ ├─ MessageUpdateEvent (text)
|
|
│ ├─ MessageEndEvent (assistant)
|
|
│ │
|
|
│ └─ TurnEndEvent (assistant, [])
|
|
│
|
|
└─ AgentEndEvent (final messages)
|
|
```
|
|
|
|
## Key Concepts
|
|
|
|
### 1. Message Transformation Pipeline
|
|
|
|
```
|
|
AgentMessage[] (internal)
|
|
│
|
|
│ transform_context()
|
|
▼
|
|
AgentMessage[] (transformed)
|
|
│
|
|
│ convert_to_llm()
|
|
▼
|
|
Message[] (LLM API)
|
|
```
|
|
|
|
### 2. Tool Call Lifecycle
|
|
|
|
```
|
|
ToolCall (in assistant message)
|
|
│
|
|
├─ before_tool_call (hook)
|
|
│
|
|
├─ prepareToolCall()
|
|
│ ├─ validate arguments
|
|
│ └─ prepare arguments (optional)
|
|
│
|
|
├─ execute()
|
|
│ ├─ Immediate: return result
|
|
│ └─ Prepared: async execution
|
|
│
|
|
├─ after_tool_call (hook)
|
|
│
|
|
└─ createToolResultMessage()
|
|
```
|
|
|
|
### 3. Turn Termination
|
|
|
|
```julia
|
|
# Turn ends when:
|
|
# 1. No more pending messages
|
|
# 2. No more tool calls to execute
|
|
# 3. should_stop_after_turn() returns true
|
|
|
|
# Reasons to stop:
|
|
# - Max turns reached
|
|
# - Tool returned terminate=true
|
|
# - Error or abort
|
|
# - Steering/follow-up queues empty
|
|
```
|
|
|
|
## Best Practices
|
|
|
|
1. **Use sequential execution** for tools that modify shared state
|
|
2. **Use parallel execution** for independent tool calls (better performance)
|
|
3. **Implement prepare_next_turn** for dynamic model/thinking level changes
|
|
4. **Use before_tool_call** for logging or blocking sensitive operations
|
|
5. **Use after_tool_call** for modifying results or collecting metrics
|
|
|
|
## Complete Example
|
|
|
|
```julia
|
|
using AgentCore
|
|
|
|
# Create config
|
|
config = AgentLoopConfig(
|
|
model = my_model,
|
|
reasoning = THINKING_MEDIUM,
|
|
tool_execution = EXECUTION_PARALLEL,
|
|
before_tool_call = myBeforeToolCallHook,
|
|
after_tool_call = myAfterToolCallHook,
|
|
prepare_next_turn = myPrepareNextTurnHook,
|
|
convert_to_llm = myConvertToLlm,
|
|
transform_context = myTransformContext,
|
|
get_api_key = myGetApiKey,
|
|
get_steering_messages = myGetSteeringMessages,
|
|
get_follow_up_messages = myGetFollowUpMessages,
|
|
)
|
|
|
|
# Start agent loop
|
|
stream = agentLoop(
|
|
[UserMessage("user", [TextContent("Hello")], timestamp)],
|
|
AgentContext(system_prompt, messages, tools),
|
|
config,
|
|
nothing,
|
|
stream_fn,
|
|
)
|
|
|
|
# Consume events
|
|
final_messages = []
|
|
for event in stream
|
|
if event isa MessageEndEvent
|
|
push!(final_messages, event.message)
|
|
end
|
|
end
|
|
|
|
# Or use event sink
|
|
messages = []
|
|
emit(event) = push!(messages, event)
|
|
|
|
messages = runAgentLoop(
|
|
[UserMessage(...)],
|
|
context,
|
|
config,
|
|
emit,
|
|
nothing,
|
|
stream_fn,
|
|
)
|
|
```
|
|
|
|
This documentation provides a comprehensive understanding of the AgentLoop component, including its architecture, main functions, execution modes, and best practices for building AI agents with AgentCore.jl.
|