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@@ -165,32 +165,206 @@ AgentStartEvent
└─ AgentEndEvent
```
## Data Flow
## Complete Data Flow with Type Transformations
### Message Transformation
This documentation shows how data is transformed through the agent lifecycle.
### Message Type Hierarchy
```
AgentMessage[] (internal)
Message (for LLM API)
├── UserMessage (role: "user")
│ └── content::Vector{MessageContent}
│ ├── TextContent (text::String)
│ └── ImageContent (data::String, mime_type::String)
├── AssistantMessage (role: "assistant")
│ ├── content::Vector{MessageContent}
│ │ ├── TextContent
│ │ └── ToolCall (id, name, arguments::Dict{String, Any})
│ ├── usage::Usage
│ ├── stop_reason::String
│ └── timestamp::Timestamp
└── ToolResultMessage (role: "toolResult")
├── tool_call_id::String
├── tool_name::String
├── content::Vector{MessageContent}
├── details::Any
├── usage::Union{Usage, Nothing}
├── is_error::Bool
└── timestamp::Timestamp
AgentMessage (internal, extends Message)
├── UserMessage (same as above)
├── AssistantMessage (same as above)
├── ToolResultMessage (same as above)
├── BashExecutionMessage (custom)
│ ├── role, command, output, exit_code
│ ├── cancelled, truncated, exclude_from_context
│ └── timestamp
├── CompactionSummaryMessage (custom)
│ ├── summary, tokens_before, timestamp
│ └── converted to UserMessage for LLM
└── BranchSummaryMessage (custom)
├── summary, from_id, timestamp
└── converted to UserMessage for LLM
```
### Complete Conversation Flow
```
┌─────────────────────────────────────────────────────────────────────────────┐
│ Step 1: User Input (Vector{AgentMessage}) │
└─────────────────────────────────────────────────────────────────────────────┘
prompt(agent, "Hello!")
├─ transform_context() (optional)
AgentMessage[] (transformed)
└─► normalizePromptInput()
Input: "Hello!"::String
Output: [UserMessage("user", [TextContent("Hello!")], timestamp)]
┌─────────────────────────────────────────────────────────────────────────────┐
│ Step 2: AgentLoop Processing │
└─────────────────────────────────────────────────────────────────────────────┘
runAgentLoop()
├─► transform_context() (optional hook)
│ Input: [UserMessage(...)]::Vector{AgentMessage}
│ Output: [UserMessage(...)]::Vector{AgentMessage}
├─► convert_to_llm()
│ Input: [UserMessage(...)]::Vector{AgentMessage}
│ Output: [UserMessage(...)]::Vector{Message}
├─► stream_fn() - LLM API call
│ Input: model, Context(...), config
│ Output: AssistantMessage with ToolCall[]
├─► executeToolCalls()
│ Input: AssistantMessage (with ToolCall[])
│ Output: ToolResultMessage[]
└─► Emit events and append to context.messages
┌─────────────────────────────────────────────────────────────────────────────┐
│ Step 3: Final Conversation State │
└─────────────────────────────────────────────────────────────────────────────┘
context.messages::Vector{AgentMessage}
├─ UserMessage("user", [TextContent("Hello!")], ...)
├─ AssistantMessage("assistant", [
│ TextContent("Hi there!"),
│ ToolCall("bash", {...})
│ ], ...)
└─ ToolResultMessage("toolResult", "bash", [TextContent("...")], ...)
┌─────────────────────────────────────────────────────────────────────────────┐
│ Step 4: AgentEndEvent (final output) │
└─────────────────────────────────────────────────────────────────────────────┘
AgentEndEvent(messages::Vector{AgentMessage})
└─ Contains full conversation history
User Input (String / AgentMessage / Vector{AgentMessage})
├─► normalizePromptInput()
│ Input: input::Union{String, AgentMessage, Vector{AgentMessage}}
│ Output: Vector{AgentMessage}
│ • String → UserMessage("user", [TextContent(input)], timestamp)
│ • AgentMessage → [input]
│ • Vector{AgentMessage} → input (pass-through)
├─► prompt(agent, messages)
│ └─► runPromptMessages()
├─ convert_to_llm()
Message[] (LLM API)
AgentLoop Execution:
├─► transform_context() (optional hook)
│ Input: context.messages::Vector{AgentMessage}
│ Output: messages::Vector{AgentMessage} (transformed)
├─► convert_to_llm()
│ Input: messages::Vector{AgentMessage}
│ Output: llm_messages::Vector{Message}
│ AgentMessage → Message mapping:
│ • UserMessage → UserMessage (pass-through)
│ • AssistantMessage → AssistantMessage (pass-through)
│ • ToolResultMessage → ToolResultMessage (pass-through)
│ • BashExecutionMessage → UserMessage (text conversion)
│ • CompactionSummaryMessage → UserMessage (text wrapped)
│ • BranchSummaryMessage → UserMessage (text wrapped)
├─► LLM API Call (stream_fn)
│ Input: model, Context(system_prompt, llm_messages, tools), config
│ Output: Stream{AssistantMessageEvent}
├─► AssistantMessage (returned from LLM)
│ content::Vector{MessageContent}
│ └─ Contains: TextContent[] and/or ToolCall[]
├─► executeToolCalls() (if ToolCall[] in content)
│ │
│ ├─► prepareToolCall() for each ToolCall
│ │ Input: tool_call::ToolCall
│ │ Output: PreparedToolCall or ImmediateToolCallOutcome
│ │
│ ├─► executePreparedToolCall() (if prepared)
│ │ Input: PreparedToolCall
│ │ Output: ExecutedToolCallOutcome
│ │ tool.execute() returns AgentToolResultMutable
│ │
│ ├─► finalizeExecutedToolCall()
│ │ Input: ExecutedToolCallOutcome
│ │ Output: FinalizedToolCallOutcome
│ │
│ └─► createToolResultMessage()
│ Input: FinalizedToolCallOutcome
│ Output: ToolResultMessage
│ • role: "toolResult"
│ • tool_call_id, tool_name
│ • content::Vector{MessageContent}
│ • details, usage, added_tool_names
│ • is_error, timestamp
└─► Append to context.messages and new_messages
Vector{AgentMessage} (final conversation history)
Contains: [UserMessage, AssistantMessage, ToolResultMessage, ...]
```
### Tool Execution Flow
```
ToolCall (in assistant message)
ToolCall (in AssistantMessage.content)
├─ before_tool_call hook (optional)
│ Input: BeforeToolCallContext
│ Output: BeforeToolCallResult (block, reason) or nothing
├─ before_tool_call hook
├─ prepareToolCall()
├─ execute()
├─ after_tool_call hook
│ Input: tool_call::ToolCall
│ Output: Union{PreparedToolCall, ImmediateToolCallOutcome}
│ • Validates tool exists
│ • Runs before_tool_call hook
│ • Runs prepare_arguments hook (optional)
│ • Runs validateToolArguments (optional)
├─ executePreparedToolCall() (if prepared)
│ Input: PreparedToolCall
│ Output: ExecutedToolCallOutcome
│ tool.execute() returns AgentToolResultMutable
├─ finalizeExecutedToolCall()
│ Input: ExecutedToolCallOutcome
│ Output: FinalizedToolCallOutcome
│ Runs after_tool_call hook (optional)
└─ createToolResultMessage()
Input: FinalizedToolCallOutcome
Output: ToolResultMessage
• role: "toolResult"
• tool_call_id, tool_name
• content::Vector{MessageContent}
• details, usage, added_tool_names
• is_error, timestamp
```
## Best Practices