update
This commit is contained in:
140
src/interface.jl
140
src/interface.jl
@@ -214,27 +214,44 @@ function planner_mistral_openorca(a::agentReflex)
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</Your earlier work>
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<Your job>
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Plan: first you should always think about your conversation with the user and your earlier work thoroughly then extract and devise a complete, task by task, plan to achieve your objective (pay attention to correct numeral calculation and commonsense).
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Keyword memory: using JSON format, list all variables in the plan you need to find out
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P.S.1 each task of the plan should be a single action.
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</Your job>
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<Example>
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Plan:
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1. Ask the user about how many miles per day they drive
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2. Ask the user about what stuff they usually carry with
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3. Ask the user about preferred type of car they want to buy (sedan, sport, SUV, etc)
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8. Ask the user about their price range
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9. Use inventory tool to find cars that match the user's preferences and are within their price range
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10. Use finalanswer tool to present the recommended car to the user.
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Keyword memory: {"mile per day": null, "carry item": null, "car type": null, "price range": null}
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</Example
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</s>
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$conversation
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<|assistant|>
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Plan:
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"""
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# provide ecmaple that show good planning
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plan = sendReceivePrompt(a, assistant_plan_prompt, max_tokens=1024, temperature=0.1,
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response = sendReceivePrompt(a, assistant_plan_prompt, max_tokens=1024, temperature=0.1,
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timeout=180, stopword=["<|user|>", "</"])
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plan = split(plan, "<|")[1]
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plan = split(plan, "</")[1]
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# plan = split(plan, "\n\n")[1]
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response = split(response, "<|")[1]
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response = split(response, "</")[1]
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response = split(response, "\n\n")[1]
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@show response
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headerToDetect = ["Plan:", "Keyword memory:",]
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headers = detectCharacters(response, headerToDetect)
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@show headers
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chunkedtext = chunktext(response, headers)
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a.memory[:c] = chunkedtext
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plan = chunkedtext["Plan:"]
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keywordmem = JSON3.read(chunkedtext["Keyword memory:"]) # use JSON to change from json string to dict
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for (k, v) in keywordmem
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a.memory[:keyword][String(k)] = v
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end
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return plan
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end
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@@ -394,6 +411,8 @@ end
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# end
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function selfAwareness(a::agentReflex)
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latestTask = shortMemLatestTask(a.memory[:shortterm])
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getonlykeys = ["Actinput", "Obs"]
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worknoplan = similar(a.memory[:shortterm])
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for (k, v) in a.memory[:shortterm]
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@@ -427,28 +446,32 @@ function selfAwareness(a::agentReflex)
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<Your earlier work>
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$work
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</Your earlier work>
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<Your plan>
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$(a.memory[:shortterm]["Plan 1:"])
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</Your plan>
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<Your keyword memory>
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$(JSON3.write(a.memory[:keyword]))
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</Your keyword memory>
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<Your job>
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Use the following format strictly:
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What I know: based on observed results, breakdown then repeat all information you got one by one
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Info matching: using JSON format, explicitly state what information matches which variable name in my plan
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What am I missing: based on Info matching, describe in detail what you are still missing based on the plan
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P.S. do not mention any toolnames
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Info extraction: repeat all keywords from the latest observed result thoroughly
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Info mapping: based on extracted info, explicitly state what each keyword could match which keyword memory's key
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Info matching: using JSON format, what key in my memory matches which info
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</Your job>
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<Example>
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What do I know:
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- The user is buying an electric SUV car.
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<Your earlier work>
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The user wants to buy an electric SUV car.
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</Your earlier work>
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<Your keyword memory>
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{"car type": null, "color": null, "financing": null}
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</Your keyword memory>
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Info extraction:
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- The user is buying an electric SUV car.
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Info mapping:
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- SUV could matches "car type" key
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- electric could matches "engine type" key
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Info matching: {"car type": "SUV", "engine type": "electric motor", "color": null, "financing": null}
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What am I missing:
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- The user's preferred color
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- The user's financing method
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</Example>
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</s>
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<|assistant|>
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What I know:
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Info extraction:
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"""
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response = sendReceivePrompt(a, prompt, max_tokens=1024, temperature=0.2, timeout=180,
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stopword=["/n/n", "END", "End", "Obs", "<|", "</"])
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@@ -458,48 +481,52 @@ function selfAwareness(a::agentReflex)
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@show selfaware_1 = response
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#WORKING
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headerToDetect = ["What I know:", "Info matching:", "What am I missing:",]
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headerToDetect = ["Info extraction:", "Info matching:",]
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headers = detectCharacters(response, headerToDetect)
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chunkedtext = chunktext(response, headers)
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println("")
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_infomatch = chunkedtext["Info matching:"]
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_infomatch = GeneralUtils.getStringBetweenCharacters(_infomatch, '{', '}', endCharLocation="next")
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infomatch = copy(JSON3.read(_infomatch))
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println("")
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@show chunkedtext
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keywordMemoryUpdate!(a.memory[:keyword], infomatch)
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prompt =
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"""
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<|system|>
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<About yourself>
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$aboutYourself
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$(a.roleSpecificInstruction[a.role])
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</About yourself>
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# prompt =
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# """
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# <|system|>
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# <About yourself>
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# $aboutYourself
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# $(a.roleSpecificInstruction[a.role])
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# </About yourself>
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<Your plan>
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$(a.memory[:shortterm]["Plan 1:"])
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</Your plan>
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<Your job>
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Use the following format strictly:
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What am I missing: based on Info matching, describe in detail what you are still missing according to the plan
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P.S. do not mention any toolnames
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</Your job>
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<Example>
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Info matching: {"car type": "SUV", "engine type": "electric motor", "color": null, "financing": null}
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What am I missing:
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- The user's preferred color
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- The user's financing method
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</Example>
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</s>
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<|assistant|>
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Info matching: $(JSON3.write(a.memory[:keyword]))
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What am I missing:
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"""
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response = "What am I missing:" * sendReceivePrompt(a, prompt, max_tokens=1024, temperature=0.4, timeout=180,
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stopword=["/n/n", "END", "End", "Obs", "<|", "</"])
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response = split(response, "<|")[1]
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response = split(response, "</")[1]
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# <Your plan>
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# $(a.memory[:shortterm]["Plan 1:"])
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# </Your plan>
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# <Your job>
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# Use the following format strictly:
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# What I know: what you know in JSON format
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# What am I missing: based on what I know, list all items I am missing
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# P.S. do not mention any toolnames
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# </Your job>
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# <Example>
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# What I know: {"car type": "SUV", "engine type": "electric motor", "color": null, "financing": null}
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# What am I missing:
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# - The user's preferred color
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# - The user's financing method
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# </Example>
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# </s>
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# <|assistant|>
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# What I know: $(JSON3.write(a.memory[:keyword]))
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# """
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# response = sendReceivePrompt(a, prompt, max_tokens=1024, temperature=0.4, timeout=180,
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# stopword=["/n/n", "END", "End", "Obs", "<|", "</"])
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# response = split(response, "<|")[1]
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# response = split(response, "</")[1]
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response = "Info matching:" * chunkedtext["Info matching:"] * response
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response = "What I know about user:" * JSON3.write(a.memory[:keyword]) # * response
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@show selfaware_2 = response
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@@ -562,15 +589,12 @@ function actor_mistral_openorca(a::agentReflex, selfaware=nothing)
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push!(toolslist, toolname)
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end
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println("")
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@show actor_selfaware = selfaware
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thought = "Thought: you should always think about what to do according to the plan (pay attention to correct numeral calculation and commonsense and do one thing at a time.)"
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if selfaware !== nothing
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thought =
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"Self-awareness: $selfaware
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Thought: To think about your next step, reflect on your self-awareness and prioritize what you need to improve first then consult your plan. (P.S. 1) let's think a single step. 2) pay attention to correct numeral calculation and commonsense.)
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"Self-awareness: $(JSON3.write(a.memory[:keyword]))
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Thought: To think about your next step, reflect on your self-awareness and prioritize what you need to improve first (null) then consult your plan. (P.S. 1) let's think a single step. 2) pay attention to correct numeral calculation and commonsense.)
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"
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end
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# your should request the missing information first before making a decision
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@@ -978,7 +978,13 @@ function keywordMemoryUpdate!(keywordmemory::AbstractDict, newinfo::AbstractDict
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if v === nothing && haskey(keywordmemory, k) && keywordmemory[k] !== nothing
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# skip
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else
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if haskey(keywordmemory, k)
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println("before k $k v $(keywordmemory[k])") #BUG this function write null to a non-empty key
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end
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println("write k $k v $v")
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keywordmemory[k] = v
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println("after k $k v $(keywordmemory[k])")
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println("-----")
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end
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end
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end
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