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feat: Enhance memory system with isolated memory configuration (#2597)
* feat: support defining any memory in an isolated way This change makes it easier to use a specific memory type without unintentionally enabling all others. Previously, setting memory=True would implicitly configure all available memories (like LTM and STM), which might not be ideal in all cases. For example, when building a chatbot that only needs an external memory, users were forced to also configure LTM and STM — which rely on default OpenAPI embeddings — even if they weren’t needed. With this update, users can now define a single memory in isolation, making the configuration process simpler and more flexible. * feat: add tests to ensure we are able to use contextual memory by set individual memories * docs: enhance memory documentation * feat: warn when long-term memory is defined but entity memory is not
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@@ -53,6 +53,10 @@ class ContextualMemory:
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Fetches recent relevant insights from STM related to the task's description and expected_output,
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formatted as bullet points.
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"""
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if self.stm is None:
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return ""
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stm_results = self.stm.search(query)
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formatted_results = "\n".join(
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[
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@@ -67,6 +71,10 @@ class ContextualMemory:
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Fetches historical data or insights from LTM that are relevant to the task's description and expected_output,
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formatted as bullet points.
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"""
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if self.ltm is None:
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return ""
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ltm_results = self.ltm.search(task, latest_n=2)
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if not ltm_results:
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return None
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@@ -86,6 +94,9 @@ class ContextualMemory:
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Fetches relevant entity information from Entity Memory related to the task's description and expected_output,
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formatted as bullet points.
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"""
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if self.em is None:
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return ""
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em_results = self.em.search(query)
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formatted_results = "\n".join(
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[
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