Advice

I'm working on implementing CrewAI's short-term memory feature, but it's not behaving as expected.

embedder_config = {
    "provider": "openai",
    "config": {
        "api_key": "XXXXXXX",
        "api_base": "https://xxxx.openai.azure.com/",
        "api_type": "azure",
        "api_version": "2024-02-01",
        "model_name": "xxxxx",
        "deployment_id": "xxxx"
    }
}

# Create ShortTermMemory with embedder
self.short_term_memory = ShortTermMemory(embedder_config=embedder_config)

# Create crew with custom short-term memory
self.crew = Crew(
    agents=[self.agent],
    tasks=[],
    memory=True,
    short_term_memory=self.short_term_memory,
    verbose=False
)

The memory system initializes without errors, but the agent doesn't seem to retain context from previous conversations as expected.

How can I successfully implement CrewAI's short-term memory with Azure OpenAI embeddings?

What are some guidance, documentation links, or working examples?

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