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Support set Memory from UI #852

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@bdqfork bdqfork commented Feb 24, 2024

Summary

Fixes #837

Support set Memory from UI, default is motorhead. However, I found motorhead archived.

Test plan

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bdqfork commented Feb 24, 2024

I'm not very familiar with SAML, so I don't currently have support for it. I will do later.

@homanp
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homanp commented Feb 25, 2024

@bdqfork thank you reveiwing and merging in

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@elisalimli elisalimli left a comment

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overall looks good, I have left some small suggestions.

# Improve grpc error messages
RUN pip install grpcio-status

COPY . ./
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@bdqfork Why did you move this line?

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Separating code and environment dependencies allows for optimal utilization of the cache built by Docker. During the debugging phase, there are more changes in the code compared to changes in the environment dependencies.

@@ -120,6 +126,7 @@ model Agent {
updatedAt DateTime @updatedAt
llms AgentLLM[]
llmModel LLMModel? @default(GPT_3_5_TURBO_16K_0613)
memory MemoryDbProvider? @default(MOTORHEAD)
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let's use memoryDbProvider:

Suggested change
memory MemoryDbProvider? @default(MOTORHEAD)
memoryDbProvider MemoryDbProvider? @default(MOTORHEAD)


const redisSchema = z.object({
REDIS_MEMORY_URL: z.string(),
REDIS_MEMORY_WINDOW: z.string(),
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let's use number instead of string

key_prefix="superagent:",
),
memory_key="chat_history",
return_messages=True,
output_key="output",
k=config("REDIS_MEMORY_WINDOW", 10),
k=get_first_non_null(
options.get("REDIS_MEMORY_WINDOW"),
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If one wants to define different REDIS_MEMORY_WINDOW per each agent. We can't achieve it by defining global memory and use it this way. Is it something we should care about? @homanp

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@elisalimli @homanp Perhaps memory_size could be utilized as an agent argument, representing the number of recent conversations to give priority to. If this value exists, it will be utilized; otherwise, the global configuration will be used.

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Add possiblity to connect memory via UI
3 participants