docs: simplification of two agent d&d simulation #3550
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…sible for multiple dialogue agents
…sible for multiple dialogue agents
hwchase17
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Apr 25, 2023
vowelparrot
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Apr 26, 2023
Simplifies the [Two Agent D&D](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html) example with a cleaner, simpler interface that is extensible for multiple agents. `DialogueAgent`: - `send()`: applies the chatmodel to the message history and returns the message string - `receive(name, message)`: adds the `message` spoken by `name` to message history The `DialogueSimulator` class takes a list of agents. At each step, it performs the following: 1. Select the next speaker 2. Calls the next speaker to send a message 3. Broadcasts the message to all other agents 4. Update the step counter. The selection of the next speaker can be implemented as any function, but in this case we simply loop through the agents.
vowelparrot
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Apr 28, 2023
Simplifies the [Two Agent D&D](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html) example with a cleaner, simpler interface that is extensible for multiple agents. `DialogueAgent`: - `send()`: applies the chatmodel to the message history and returns the message string - `receive(name, message)`: adds the `message` spoken by `name` to message history The `DialogueSimulator` class takes a list of agents. At each step, it performs the following: 1. Select the next speaker 2. Calls the next speaker to send a message 3. Broadcasts the message to all other agents 4. Update the step counter. The selection of the next speaker can be implemented as any function, but in this case we simply loop through the agents.
samching
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May 1, 2023
Simplifies the [Two Agent D&D](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html) example with a cleaner, simpler interface that is extensible for multiple agents. `DialogueAgent`: - `send()`: applies the chatmodel to the message history and returns the message string - `receive(name, message)`: adds the `message` spoken by `name` to message history The `DialogueSimulator` class takes a list of agents. At each step, it performs the following: 1. Select the next speaker 2. Calls the next speaker to send a message 3. Broadcasts the message to all other agents 4. Update the step counter. The selection of the next speaker can be implemented as any function, but in this case we simply loop through the agents.
yanghua
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May 9, 2023
Simplifies the [Two Agent D&D](https://python.langchain.com/en/latest/use_cases/agent_simulations/two_player_dnd.html) example with a cleaner, simpler interface that is extensible for multiple agents. `DialogueAgent`: - `send()`: applies the chatmodel to the message history and returns the message string - `receive(name, message)`: adds the `message` spoken by `name` to message history The `DialogueSimulator` class takes a list of agents. At each step, it performs the following: 1. Select the next speaker 2. Calls the next speaker to send a message 3. Broadcasts the message to all other agents 4. Update the step counter. The selection of the next speaker can be implemented as any function, but in this case we simply loop through the agents.
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Simplifies the Two Agent D&D example with a cleaner, simpler interface that is extensible for multiple agents.
DialogueAgent:send(): applies the chatmodel to the message history and returns the message stringreceive(name, message): adds themessagespoken bynameto message historyThe
DialogueSimulatorclass takes a list of agents. At each step, it performs the following:The selection of the next speaker can be implemented as any function, but in this case we simply loop through the agents.