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@@ -281,7 +281,6 @@ func (a *Agent) consumeJob(job *Job, role string) {
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}
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}
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func (a *Agent) periodicallyRun() {
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func (a *Agent) periodicallyRun() {
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// Here the LLM could decide to store some part of the conversation too in the memory
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// Here the LLM could decide to store some part of the conversation too in the memory
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evaluateMemory := NewJob(
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evaluateMemory := NewJob(
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WithText(
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WithText(
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@@ -319,12 +318,6 @@ func (a *Agent) periodicallyRun() {
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a.consumeJob(evaluateAction, SystemRole)
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a.consumeJob(evaluateAction, SystemRole)
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a.ResetConversation()
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a.ResetConversation()
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// TODO: decide to do something on its own with the conversation result
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// before clearing it out
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// Clear the conversation
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// a.currentConversation = []openai.ChatCompletionMessage{}
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}
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}
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func (a *Agent) Run() error {
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func (a *Agent) Run() error {
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@@ -23,7 +23,7 @@ type PromptHUD struct {
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// And a context memory (that is always powered by a vector database),
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// And a context memory (that is always powered by a vector database),
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// this memory is the shorter one that the LLM keeps across conversation and across its
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// this memory is the shorter one that the LLM keeps across conversation and across its
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// reasoning process's and life time.
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// reasoning process's and life time.
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// A special action is then used to let the LLM itself update its memory
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// TODO: A special action is then used to let the LLM itself update its memory
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// periodically during self-processing, and the same action is ALSO exposed
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// periodically during self-processing, and the same action is ALSO exposed
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// during the conversation to let the user put for example, a new goal to the agent.
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// during the conversation to let the user put for example, a new goal to the agent.
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type State struct {
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type State struct {
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