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docs: remove memory from Agent docs
The Agent does not support `memory` attribute
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@@ -43,7 +43,6 @@ The Visual Agent Builder enables:
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| **Max Iterations** _(optional)_ | `max_iter` | `int` | Maximum iterations before the agent must provide its best answer. Default is 20. |
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| **Max RPM** _(optional)_ | `max_rpm` | `Optional[int]` | Maximum requests per minute to avoid rate limits. |
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| **Max Execution Time** _(optional)_ | `max_execution_time` | `Optional[int]` | Maximum time (in seconds) for task execution. |
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| **Memory** _(optional)_ | `memory` | `bool` | Whether the agent should maintain memory of interactions. Default is True. |
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| **Verbose** _(optional)_ | `verbose` | `bool` | Enable detailed execution logs for debugging. Default is False. |
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| **Allow Delegation** _(optional)_ | `allow_delegation` | `bool` | Allow the agent to delegate tasks to other agents. Default is False. |
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| **Step Callback** _(optional)_ | `step_callback` | `Optional[Any]` | Function called after each agent step, overrides crew callback. |
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@@ -156,7 +155,6 @@ agent = Agent(
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"you excel at finding patterns in complex datasets.",
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llm="gpt-4", # Default: OPENAI_MODEL_NAME or "gpt-4"
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function_calling_llm=None, # Optional: Separate LLM for tool calling
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memory=True, # Default: True
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verbose=False, # Default: False
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allow_delegation=False, # Default: False
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max_iter=20, # Default: 20 iterations
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@@ -537,7 +535,6 @@ The context window management feature works automatically in the background. You
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- Adjust `max_iter` and `max_retry_limit` based on task complexity
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### Memory and Context Management
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- Use `memory: true` for tasks requiring historical context
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- Leverage `knowledge_sources` for domain-specific information
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- Configure `embedder` when using custom embedding models
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- Use custom templates (`system_template`, `prompt_template`, `response_template`) for fine-grained control over agent behavior
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@@ -585,7 +582,6 @@ The context window management feature works automatically in the background. You
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- Review code sandbox settings
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4. **Memory Issues**: If agent responses seem inconsistent:
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- Verify memory is enabled
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- Check knowledge source configuration
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- Review conversation history management
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