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tonaerospace
2023-11-22 07:21:48 +00:00
parent 445fb8e793
commit 99281e8d3e
3 changed files with 374 additions and 284 deletions
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295
src/interface.jl
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@@ -8,6 +8,7 @@ export agentReact, agentReflex,
using JSON3, DataStructures, Dates, UUIDs, HTTP
using CommUtils, GeneralUtils
using ..type
# ---------------------------------------------------------------------------- #
# pythoncall setting #
@@ -34,281 +35,6 @@ using CommUtils, GeneralUtils
#------------------------------------------------------------------------------------------------100
abstract type agent end
@kwdef mutable struct agentReact <: agent
availableRole::AbstractVector = ["system", "user", "assistant"]
agentName::String = "assistant"
maxUserMsg::Int = 10
earlierConversation::String = "" # summary of earlier conversation
mqttClient::Union{mqttClient, Nothing} = nothing
msgMeta::Union{Dict, Nothing} = nothing
""" Dict(Role=> Content) ; Role can be system, user, assistant
Example:
messages=[
Dict(:role=>"system", :content=> "You are a helpful assistant."),
Dict(:role=>"assistant", :content=> "How may I help you"),
Dict(:role=>"user", :content=> "Hello, how are you"),
]
"""
role::Symbol = :assistant
roles::Dict = Dict(:assistant => "You are a helpful assistant.",)
# Ref: Chat prompt format https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/discussions/3
# messages= [Dict(:role=>"system", :content=> "", :timestamp=> Dates.now()),]
messages = Vector{Dict{Symbol, Any}}()
context::String = "nothing" # internal thinking area
tools::Union{Dict, Nothing} = nothing
thought::String = "nothing" # contain unfinished thoughts for ReAct agent only
thinkinground::Int = 0 # no. of thinking round
thinkingroundlimit::Int = 5 # thinking round limit
thinkingMode::Union{Dict, Nothing} = nothing
end
function agentReact(
agentName::String,
mqttClientSpec::NamedTuple;
role::Symbol=:assistant,
roles::Dict=Dict(
:assistant =>
"""
You are a helpful assistant who answer the user's questions as best you can.
""",
:sommelier =>
"""
You are a helpful sommelier at an online wine reseller who always ask user for wine relevant info before you could help them choosing wine.
You provide a personalized recommendation of up to two wines based on the user's preference, and you describe the benefits of each wine in detail.
You don't know other people personal info previously.
Info used to select wine:
- type of food
- occasion
- user's personal taste of wine
- wine price range
- temperature at the serving location
- wine we have in stock
""",
),
thinkingMode::Dict=Dict(
:no_thinking=> "",
:thinking=>
"""Use the following format:
Question: the input question your user is asking and you must answer
Plan: first you should always think about the question and the info you have thoroughly then extract and devise a complete plan to find the answer (pay attention to variables and their corresponding numerals).
Thought: ask yourself do you have all the info you need? And what to do according to the plan (pay attention to correct numeral calculation and commonsense).
Act: the tool that match your thought, should be one of {toolnames}
ActInput: the input to the action (pay attention to the tool's input)
Obs: the result of the action
... (this Plan/Thought/Act/ActInput/Obs can repeat N times until you know the answer.)
Thought: I think I know the answer
Answer: Answer of the original question
Begin!""",
),
tools::Dict=Dict(
:wikisearch=>Dict(
:name => "wikisearch",
:description => "Useful for when you need to search an encyclopedia",
:input => "Input is keywords and not a question.",
:output => "",
:func => wikisearch, # put function here
),
:chatbox=>Dict(
:name => "chatbox",
:description => "Useful for when you need to ask a customer for more context.",
:input => "Input should be a conversation to customer.",
:output => "" ,
:func => nothing,
),
# :wineStock=>Dict(
# :name => "wineStock",
# :description => "useful for when you need to search for wine by your description, price, name or ID.",
# :input => "Input should be a search query with as much details as possible.",
# :output => "" ,
# :func => nothing,
# ),
# :NTHING=>Dict(
# :name => "NTHING",
# :description => "useful for when you don't need to use tools or actions",
# :input => "No input is needed",
# :output => "" ,
# :func => nothing,
# ),
),
msgMeta::Dict=Dict(
:msgPurpose=> "updateStatus",
:from=> "chatbothub",
:to=> "llmAI",
:requestrespond=> "request",
:sendto=> "", # destination topic
:replyTo=> "chatbothub/llm/respond", # requester ask responder to send reply to this topic
:repondToMsgId=> "", # responder is responding to this msg id
:taskstatus=> "", # "complete", "fail", "waiting" or other status
:timestamp=> Dates.now(),
:msgId=> "$(uuid4())",
),
availableRole::AbstractArray=["system", "user", "assistant"],
maxUserMsg::Int=10,)
newAgent = agentReact()
newAgent.availableRole = availableRole
newAgent.maxUserMsg = maxUserMsg
newAgent.mqttClient = CommUtils.mqttClient(mqttClientSpec)
newAgent.msgMeta = msgMeta
newAgent.tools = tools
newAgent.role = role
newAgent.roles = roles
newAgent.thinkingMode = thinkingMode
return newAgent
end
@kwdef mutable struct agentReflex <: agent
availableRole::AbstractVector = ["system", "user", "assistant"]
agentName::String = "assistant"
maxUserMsg::Int = 10
earlierConversation::String = "" # summary of earlier conversation
mqttClient::Union{mqttClient, Nothing} = nothing
msgMeta::Union{Dict, Nothing} = nothing
""" Dict(Role=> Content) ; Role can be system, user, assistant
Example:
messages=[
Dict(:role=>"system", :content=> "You are a helpful assistant."),
Dict(:role=>"assistant", :content=> "How may I help you"),
Dict(:role=>"user", :content=> "Hello, how are you"),
]
"""
role::Symbol = :assistant
roles::Dict = Dict(:assistant => "You are a helpful assistant.",)
# Ref: Chat prompt format https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/discussions/3
# messages= [Dict(:role=>"system", :content=> "", :timestamp=> Dates.now()),]
messages = Vector{Dict{Symbol, Any}}()
context::String = "nothing" # internal thinking area
tools::Union{Dict, Nothing} = nothing
thought::String = "nothing" # contain unfinished thoughts for ReAct agent only
thinkinground::Int = 0 # no. of thinking round
thinkingroundlimit::Int = 5 # thinking round limit
thinkingMode::Union{Dict, Nothing} = nothing
memory::Dict = Dict(
:shortterm=> "",
:longterm=>""
)
end
function agentReflex(
agentName::String,
mqttClientSpec::NamedTuple;
role::Symbol=:assistant,
roles::Dict=Dict(
:assistant =>
"""
You are a helpful assistant who answer the user's questions as best you can.
""",
:sommelier =>
"""
You are a sommelier at an online wine reseller who always ask user for wine relevant info before you could help them choosing wine.
You provide a personalized recommendation of up to two wines based on the user's preference, and you describe the benefits of each wine in detail.
You don't know other people personal info previously.
Info used to select wine:
- type of food
- occasion
- user's personal taste of wine
- wine price range
- temperature at the serving location
- wine we have in stock
""",
),
thinkingFormat::Dict=Dict(
:react=>
"""Use the following format:
Question: the input question your user is asking and you must answer
Plan: first you should always think about the question and the info you have thoroughly then extract and devise a complete plan to find the answer (pay attention to variables and their corresponding numerals).
Thought: ask yourself do you have all the info you need? And what to do according to the plan (pay attention to correct numeral calculation and commonsense).
Act: the tool that match your thought, should be one of {toolnames}
ActInput: the input to the action (pay attention to the tool's input)
Obs: the result of the action
... (this Plan/Thought/Act/ActInput/Obs can repeat N times until you know the answer.)
Thought: I think I know the answer
Answer: Answer of the original question
Begin!""",
:plan=>
"""Use the following format:
Question: the input question your user is asking and you must answer
Plan: first you should always think about the question and the info you have thoroughly then extract and devise a complete plan to find the answer (pay attention to variables and their corresponding numerals).
Begin!""",
:qta=>
"""Use the following format:
Question: the input question your user is asking and you must answer
Thought: ask yourself do you have all the info you need? And what to do according to the plan (pay attention to correct numeral calculation and commonsense).
Act: the tool that match your thought, should be one of {toolnames}
ActInput: the input to the action (pay attention to the tool's input)
Begin!""",
),
tools::Dict=Dict(
:wikisearch=>Dict(
:name => "wikisearch",
:description => "Useful for when you need to search an encyclopedia",
:input => "Input is keywords and not a question.",
:output => "",
:func => wikisearch, # put function here
),
:chatbox=>Dict(
:name => "chatbox",
:description => "Useful for when you need to ask a customer for more context.",
:input => "Input should be a conversation to customer.",
:output => "" ,
:func => nothing,
),
# :wineStock=>Dict(
# :name => "wineStock",
# :description => "useful for when you need to search for wine by your description, price, name or ID.",
# :input => "Input should be a search query with as much details as possible.",
# :output => "" ,
# :func => nothing,
# ),
# :NTHING=>Dict(
# :name => "NTHING",
# :description => "useful for when you don't need to use tools or actions",
# :input => "No input is needed",
# :output => "" ,
# :func => nothing,
# ),
),
msgMeta::Dict=Dict(
:msgPurpose=> "updateStatus",
:from=> "chatbothub",
:to=> "llmAI",
:requestrespond=> "request",
:sendto=> "", # destination topic
:replyTo=> "chatbothub/llm/respond", # requester ask responder to send reply to this topic
:repondToMsgId=> "", # responder is responding to this msg id
:taskstatus=> "", # "complete", "fail", "waiting" or other status
:timestamp=> Dates.now(),
:msgId=> "$(uuid4())",
),
availableRole::AbstractArray=["system", "user", "assistant"],
maxUserMsg::Int=10,)
newAgent = agentReact()
newAgent.availableRole = availableRole
newAgent.maxUserMsg = maxUserMsg
newAgent.mqttClient = CommUtils.mqttClient(mqttClientSpec)
newAgent.msgMeta = msgMeta
newAgent.tools = tools
newAgent.role = role
newAgent.roles = roles
return newAgent
end
"""
add new message to agent
@@ -779,9 +505,9 @@ function conversation(a::agentReflex, usermsg::String; thinkingroundlimit::Int=3
respond = nothing
# determine thinking mode
a.thinkingMode = chooseThinkingMode(a, usermsg)
a.thinkingmode = chooseThinkingMode(a, usermsg)
if a.thinkingMode == :no_thinking
if a.thinkingmode == :no_thinking
a.earlierConversation = conversationSummary(a) #TODO should be long conversation before use summary because it leaves out details
_ = addNewMessage(a, "user", usermsg)
prompt = genPrompt_mistral_openorca(a, usermsg) #TODO rewrite this function
@@ -800,10 +526,11 @@ end
#WORKING
function work(a::agentReflex, usermsg::String)
if a.thinkingMode == :new_thinking
error("work done")
if a.thinkingmode == :new_thinking
a.earlierConversation = conversationSummary(a)
_ = addNewMessage(a, "user", usermsg)
elseif a.thinkingMode == :continue_thinking
elseif a.thinkingmode == :continue_thinking
_ = addNewMessage(a, "user", usermsg)
a.thought *= "Obs $(a.thinkinground): $usermsg\n"
else
@@ -823,6 +550,8 @@ function work(a::agentReflex, usermsg::String)
# end
# evaluate
#
end
end
@@ -982,9 +711,9 @@ function chooseThinkingMode(a::T, usermsg::String) where {T<:agent}
end
function chooseThinkingMode(a::agentReflex, usermsg::String)
thinkingMode = nothing
thinkingmode = nothing
if a.thought != "nothing"
thinkingMode = :continue_thinking
thinkingmode = :continue_thinking
else
prompt =
"""
@@ -1017,10 +746,10 @@ function chooseThinkingMode(a::agentReflex, usermsg::String)
prompt = replace(prompt, "{input}" => usermsg)
result = sendReceivePrompt(a, prompt)
willusetools = GeneralUtils.getStringBetweenCharacters(result, "{", "}")
thinkingMode = willusetools == "yes" ? :new_thinking : :no_thinking
thinkingmode = willusetools == "yes" ? :new_thinking : :no_thinking
end
return thinkingMode
return thinkingmode
end
function identifyUserIntention(a::T, usermsg::String) where {T<:agent}