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langchain/docs/modules/agents/agent_executors/examples
Shrined 10dab053b4
Add Enum for agent types (#2321)
This pull request adds an enum class for the various types of agents
used in the project, located in the `agent_types.py` file. Currently,
the project is using hardcoded strings for the initialization of these
agents, which can lead to errors and make the code harder to maintain.
With the introduction of the new enums, the code will be more readable
and less error-prone.

The new enum members include:

- ZERO_SHOT_REACT_DESCRIPTION
- REACT_DOCSTORE
- SELF_ASK_WITH_SEARCH
- CONVERSATIONAL_REACT_DESCRIPTION
- CHAT_ZERO_SHOT_REACT_DESCRIPTION
- CHAT_CONVERSATIONAL_REACT_DESCRIPTION

In this PR, I have also replaced the hardcoded strings with the
appropriate enum members throughout the codebase, ensuring a smooth
transition to the new approach.
2 years ago
..
agent_vectorstore.ipynb Add Enum for agent types (#2321) 2 years ago
async_agent.ipynb Add Enum for agent types (#2321) 2 years ago
chatgpt_clone.ipynb big docs refactor (#1978) 2 years ago
intermediate_steps.ipynb Add Enum for agent types (#2321) 2 years ago
max_iterations.ipynb Add Enum for agent types (#2321) 2 years ago
sharedmemory_for_tools.ipynb big docs refactor (#1978) 2 years ago