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Removing LangChain and Rebuilding Executor (#1322)
* rebuilding executor * removing langchain * Making all tests good * fixing types and adding ability for nor using system prompts * improving types * pleasing the types gods * pleasing the types gods * fixing parser, tools and executor * making sure all tests pass * final pass * fixing type * Updating Docs * preparing to cut new version
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João Moura
@@ -11,31 +11,34 @@ description: What are crewAI Agents and how to use them.
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<li class='leading-3'>Make decisions</li>
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<li class='leading-3'>Communicate with other agents</li>
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</ul>
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<br/>
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<br/>
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Think of an agent as a member of a team, with specific skills and a particular job to do. Agents can have different roles like 'Researcher', 'Writer', or 'Customer Support', each contributing to the overall goal of the crew.
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## Agent Attributes
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| Attribute | Parameter | Description |
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| :------------------------- | :---- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| **Role** | `role` | Defines the agent's function within the crew. It determines the kind of tasks the agent is best suited for. |
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| **Goal** | `goal` | The individual objective that the agent aims to achieve. It guides the agent's decision-making process. |
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| **Backstory** | `backstory` | Provides context to the agent's role and goal, enriching the interaction and collaboration dynamics. |
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| **LLM** *(optional)* | `llm` | Represents the language model that will run the agent. It dynamically fetches the model name from the `OPENAI_MODEL_NAME` environment variable, defaulting to "gpt-4" if not specified. |
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| **Tools** *(optional)* | `tools` | Set of capabilities or functions that the agent can use to perform tasks. Expected to be instances of custom classes compatible with the agent's execution environment. Tools are initialized with a default value of an empty list. |
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| :------------------------- | :--------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| **Role** | `role` | Defines the agent's function within the crew. It determines the kind of tasks the agent is best suited for. |
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| **Goal** | `goal` | The individual objective that the agent aims to achieve. It guides the agent's decision-making process. |
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| **Backstory** | `backstory`| Provides context to the agent's role and goal, enriching the interaction and collaboration dynamics. |
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| **LLM** *(optional)* | `llm` | Represents the language model that will run the agent. It dynamically fetches the model name from the `OPENAI_MODEL_NAME` environment variable, defaulting to "gpt-4" if not specified. |
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| **Tools** *(optional)* | `tools` | Set of capabilities or functions that the agent can use to perform tasks. Expected to be instances of custom classes compatible with the agent's execution environment. Tools are initialized with a default value of an empty list. |
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| **Function Calling LLM** *(optional)* | `function_calling_llm` | Specifies the language model that will handle the tool calling for this agent, overriding the crew function calling LLM if passed. Default is `None`. |
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| **Max Iter** *(optional)* | `max_iter` | Max Iter is the maximum number of iterations the agent can perform before being forced to give its best answer. Default is `25`. |
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| **Max RPM** *(optional)* | `max_rpm` | Max RPM is the maximum number of requests per minute the agent can perform to avoid rate limits. It's optional and can be left unspecified, with a default value of `None`. |
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| **Max Execution Time** *(optional)* | `max_execution_time` | Max Execution Time is the maximum execution time for an agent to execute a task. It's optional and can be left unspecified, with a default value of `None`, meaning no max execution time. |
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| **Verbose** *(optional)* | `verbose` | Setting this to `True` configures the internal logger to provide detailed execution logs, aiding in debugging and monitoring. Default is `False`. |
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| **Allow Delegation** *(optional)* | `allow_delegation` | Agents can delegate tasks or questions to one another, ensuring that each task is handled by the most suitable agent. Default is `True`. |
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| **Allow Delegation** *(optional)* | `allow_delegation` | Agents can delegate tasks or questions to one another, ensuring that each task is handled by the most suitable agent. Default is `False`.
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| **Step Callback** *(optional)* | `step_callback` | A function that is called after each step of the agent. This can be used to log the agent's actions or to perform other operations. It will overwrite the crew `step_callback`. |
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| **Cache** *(optional)* | `cache` | Indicates if the agent should use a cache for tool usage. Default is `True`. |
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| **System Template** *(optional)* | `system_template` | Specifies the system format for the agent. Default is `None`. |
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| **Prompt Template** *(optional)* | `prompt_template` | Specifies the prompt format for the agent. Default is `None`. |
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| **Response Template** *(optional)* | `response_template` | Specifies the response format for the agent. Default is `None`. |
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| **Allow Code Execution** *(optional)* | `allow_code_execution` | Enable code execution for the agent. Default is `False`. |
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| **Max Retry Limit** *(optional)* | `max_retry_limit` | Maximum number of retries for an agent to execute a task when an error occurs. Default is `2`. |
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| **Max Retry Limit** *(optional)* | `max_retry_limit` | Maximum number of retries for an agent to execute a task when an error occurs. Default is `2`.
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| **Use Stop Words** *(optional)* | `use_stop_words` | Adds the ability to not use stop words (to support o1 models). Default is `True`. |
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| **Use System Prompt** *(optional)* | `use_system_prompt` | Adds the ability to not use system prompt (to support o1 models). Default is `True`. |
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| **Respect Context Window** *(optional)* | `respect_context_window` | Summary strategy to avoid overflowing the context window. Default is `True`. |
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## Creating an Agent
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@@ -63,7 +66,7 @@ agent = Agent(
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max_rpm=None, # Optional
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max_execution_time=None, # Optional
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verbose=True, # Optional
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allow_delegation=True, # Optional
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allow_delegation=False, # Optional
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step_callback=my_intermediate_step_callback, # Optional
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cache=True, # Optional
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system_template=my_system_template, # Optional
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@@ -74,8 +77,11 @@ agent = Agent(
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tools_handler=my_tools_handler, # Optional
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cache_handler=my_cache_handler, # Optional
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callbacks=[callback1, callback2], # Optional
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allow_code_execution=True, # Optiona
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allow_code_execution=True, # Optional
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max_retry_limit=2, # Optional
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use_stop_words=True, # Optional
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use_system_prompt=True, # Optional
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respect_context_window=True, # Optional
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)
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```
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@@ -105,7 +111,7 @@ agent = Agent(
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BaseAgent includes attributes and methods required to integrate with your crews to run and delegate tasks to other agents within your own crew.
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CrewAI is a universal multi agent framework that allows for all agents to work together to automate tasks and solve problems.
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CrewAI is a universal multi-agent framework that allows for all agents to work together to automate tasks and solve problems.
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```py
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