update
This commit is contained in:
196
src/interface.jl
196
src/interface.jl
@@ -477,202 +477,6 @@ function actor_mistral_openorca(a::agentReflex, taskrecap="")
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return toolname, toolinput, chunkedtext
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end
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# function actor_mistral_openorca(a::agentReflex, taskrecap="")
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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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# count = 0
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# for i in getonlykeys
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# if occursin(i, k)
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# count += 1
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# end
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# end
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# if count != 0
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# worknoplan[k] = v
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# end
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# end
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# work = dictToString(worknoplan)
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# """
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# general prompt format:
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# "
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# <|im_start|>system
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# {role}
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# {tools}
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# {thinkingFormat}
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# <|im_end|>
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# {context}
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# <|im_start|>user
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# {usermsg}
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# <|im_end|>
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# <|im_start|>assistant
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# "
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# Note:
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# {context} =
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# "
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# {earlierConversation}
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# {env state}
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# {shortterm memory}
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# {longterm memory}
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# "
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# """
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# #BUG BIG output from winestock cause recap() to fail.
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# #BUG2 LLM repeat winestock search without recommending wine
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# toolnames = ""
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# toollines = ""
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# for (toolname, v) in a.tools
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# toolline = "$toolname: $(v[:description]) $(v[:input]) $(v[:output])\n"
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# toollines *= toolline
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# toolnames *= "$toolname, "
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# end
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# # shorttermMemory = dictToString(a.memory[:shortterm], skiplist=["user:"])
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# # conversation = conversationSummary(a)
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# # println("")
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# # @show conversationSum = conversation
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# # context =
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# # """
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# # Your talk with the user:
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# # $conversation
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# # """
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# start = "Thought"
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# aware = ""
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# if taskrecap != ""
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# start = "Self-awareness"
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# # aware = "Self-awareness: based on the recap, assess your progress against the plan then identify areas where you need to address."
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# # aware = "Self-awareness: based on the recap and the plan, state your current understanding of the matter in details then identify areas where you need to address."
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# aware = "Self-awareness: based on the recap, check your progress against the plan and assess the current situation to identify tasks that you need to address."
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# end
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# winestockResult = ""
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# if a.winestockResult != ""
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# winestockResult =
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# """
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# <winestock search result>
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# $(a.winestockResult)
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# </winestock search result>
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# """
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# end
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# prompt =
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# """
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# <|system|>
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# $(a.roles[a.role])
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# <You have access to the following tools>
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# $toollines
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# </You have access to the following tools>
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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 earlier work's recap>
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# $work
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# </Your earlier work's recap>
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# $winestockResult
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# <Your job>
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# Use the following format:
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# $aware
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# Thought: based on the plan and self-awareness, What to do? (P.S.1 pay attention to correct numeral calculation and commonsense.)
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# Act: an action to take based on your thought, must be one of [{toolnames}]
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# Actinput: your input to the action based on your thought (pay attention to the tool's input)
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# Obs: observed result of the action
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# </Your job>
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# </s>
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# <|assistant|>
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# $start:
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# """
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# prompt = replace(prompt, "{toolnames}" => toolnames)
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# println("")
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# @show actor_prompt = prompt
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# response = nothing
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# chunkedtext = nothing
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# latestTask = nothing
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# tempcounter = 0.2
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# while true # while Thought or Act is empty, run actor again
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# # tempcounter += 0.1
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# @show tempcounter
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# response = sendReceivePrompt(a, prompt, max_tokens=1024, temperature=tempcounter)
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# response = splittext(response, ["Obs", "<|im_end|>"])
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# latestTask = shortMemLatestTask(a.memory[:shortterm]) +1
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# if start == "Thought"
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# response = "Thought $latestTask: " * response
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# else
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# response = "Self-awareness $latestTask: " * response
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# end
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# headerToDetect = ["Question:", "Plan:", "Self-awareness:", "Thought:",
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# "Act:", "Actinput:", "Obs:", "...",
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# "Answer:", "Conclusion:", "Summary:"]
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# # replace headers with headers with correct attempt and task number
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# response = replaceHeaders(response, headerToDetect, latestTask)
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# response = split(response, "<|")[1]
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# response = split(response, "</")[1]
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# headers = detectCharacters(response, headerToDetect)
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# println("")
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# headerToDetect = ["Plan $(a.attempt):",
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# "Self-awareness $latestTask:",
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# "Thought $latestTask:",
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# "Act $latestTask:",
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# "Actinput $latestTask:",
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# "Obs $latestTask:",
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# "Check $latestTask:",]
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# headers = detectCharacters(response, headerToDetect)
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# chunkedtext = chunktext(response, headers)
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# # assuming length more than 10 character means LLM has valid thinking
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# @show iskey_Thought = haskey(chunkedtext, "Thought $latestTask:")
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# @show iskey_Act = haskey(chunkedtext, "Act $latestTask:")
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# @show iskey_Actinput = haskey(chunkedtext, "Actinput $latestTask:")
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# if iskey_Thought && iskey_Act && iskey_Actinput
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# if chunkedtext["Thought $latestTask:"] != " " && chunkedtext["Act $latestTask:"] != " " &&
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# length(chunkedtext["Actinput $latestTask:"]) > 5
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# break
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# end
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# end
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# end
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# toolname = toolNameBeingCalled(chunkedtext["Act $latestTask:"], a.tools)
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# toolinput = chunkedtext["Actinput $latestTask:"]
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# # change trailing number to continue a.memory[:shortterm]
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# headerToDetect = ["Question:", "Plan:", "Self-awareness:", "Thought:",
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# "Act:", "Actinput:", "Obs:", "...",
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# "Answer:", "Conclusion:", "Summary:"]
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# response = replaceHeaders(response, headerToDetect, latestTask)
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# println("")
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# @show actor_response = response
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# headerToDetect = ["Plan $(a.attempt):",
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# "Thought $latestTask:",
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# "Act $latestTask:",
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# "Actinput $latestTask:",
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# "Obs $latestTask:",
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# "Check $latestTask:",]
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# headers = detectCharacters(response, headerToDetect)
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# chunkedtext = chunktext(response, headers)
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# chunkedtext = delete!(chunkedtext, "Self-awareness $latestTask")
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# return toolname, toolinput, chunkedtext
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# end
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"""
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Chat with llm.
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