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narawat
2026-08-10 09:43:35 +07:00
parent 92b3e4081f
commit 189bc2efcf
4 changed files with 31 additions and 35 deletions
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src/type.jl
+15 -15
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@@ -291,7 +291,7 @@ Snapshot of the agent's conversation context.
# Arguments
- `systemPrompt::String`: System prompt for the agent
- `messages::Vector{agentMessage}`: Conversation messages
- `tools::Union{Vector{agentTool}, Nothing}`: Available tools
- `tools::Union{Dict{String, agentTool}, Nothing}`: Available tools keyed by name for O(1) lookup
# Returns
- A new `agentContext` instance
@@ -299,7 +299,7 @@ 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{Vector{agentTool}, Nothing} # Available tools
tools::Union{Dict{String, agentTool}, Nothing} # Available tools keyed by name
end
@@ -308,9 +308,9 @@ end
# ------------------------------------------------------------------------------------------------ #
mutable struct agentState # Mutable runtime state of an agent
systemPrompt::String # System prompt text
systemPrompt::String # System prompt for the agent
model::llmModel # LLM model to use
tools::Vector{agentTool} # Available tools
tools::OrderedDict{String, agentTool} # Available tools keyed by name, insertion-ordered
# messages history includes userMessage, assistantMessage, toolResultMessage. NO system prompt
messages::Vector{agentMessage}
@@ -329,7 +329,7 @@ new state from external references.
# Arguments
- `systemPrompt::String`: System prompt text
- `model::llmModel`: LLM model to use (defaults to an unknown model)
- `tools::Vector{agentTool}`: Available tools (deep copied)
- `tools::OrderedDict{String, agentTool}`: Available tools keyed by name (deep copied)
- `messages::Vector{agentMessage}`: Conversation messages (deep copied)
# Returns
@@ -338,13 +338,13 @@ new state from external references.
# Examples
```julia
julia> state = agentState(systemPrompt="You are a helpful assistant")
agentState("You are a helpful assistant", ..., agentTool[], agentMessage[], String[], nothing)
```
agentState("You are a helpful assistant", OrderedDict{String, agentTool}(), agentMessage[], String[], nothing)
"""
function agentState(
systemPrompt::String="",
model::llmModel=llmModel{String}("", "", "unknown", "unknown", "", false, String[], modelCost(0.0, 0.0, 0.0, 0.0), 0, 0),
tools::Vector{agentTool}=agentTool[],
model::llmModel=llmModel{String}("", "", "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[],
)
agentState(
@@ -395,13 +395,13 @@ end
Configuration for the agent tool execution loop.
# Arguments
- `tools::Vector{agentTool}`: Available tools
- `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::Vector{agentTool}
tools::OrderedDict{String, agentTool}
beforeToolCall::Union{Function, Nothing}
afterToolCall::Union{Function, Nothing}
toolExecution::String
@@ -580,7 +580,7 @@ on `inputChannel` and `followUpChannel` channels concurrently.
# Keyword Arguments
- `systemPrompt::String`: System prompt for the agent
- `model`: LLM model to use
- `tools::Vector{agentTool}`: Available tools (default: empty)
- `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)
@@ -599,14 +599,14 @@ on `inputChannel` and `followUpChannel` channels concurrently.
# Examples
```julia
julia> agent = yiemAgent(systemPrompt="You are a helpful assistant", model=my_model)
julia> tools = loadTools("src/tools")
julia> agent = yiemAgent(systemPrompt="You are a helpful assistant", model=my_model, tools=tools, llmCall=...)
yiemAgent(agentState(...), Channel(...), Channel(...), Channel(...), ..., ...)
```
"""
function yiemAgent(
; systemPrompt::String="You are helpful assistant.",
model=nothing,
tools::Vector{agentTool}=agentTool[],
tools::OrderedDict{String, agentTool}=OrderedDict{String, agentTool}(),
messages::Vector{agentMessage}=agentMessage[],
prepareContext::Union{Function, Nothing}=nothing,
formatMsgForLLM::Function=defaultformatMsgForLLM,