feat(examples): Add supervisor example #9235
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| description: ` | ||
| Schedule calendar events using natural language. | ||
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| Use this when the user wants to create, modify, or check calendar appointments. | ||
| Handles date/time parsing, availability checking, and event creation. | ||
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| Input: Natural language scheduling request (e.g., 'meeting with design team next Tuesday at 2pm') | ||
| `.trim(), |
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shower thought: we should have some kind of prompt template literal that dedents + trims
description: prompt`
Schedule calendar events using natural language.
Use this when the user wants to create, modify, or check calendar appointments.
Handles date/time parsing, availability checking, and event creation.
Input: Natural language scheduling request (e.g., 'meeting with design team next Tuesday at 2pm')
`,
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huh that's an interesting idea. I think we'd want interpolation to work like regular string interpolation, which should be easy to do?
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yeah that should just work out of the box! This is moreso just me not wanting to do weird dedenting to properly format prompts in my code 😁
| // Customize context received by sub-agent | ||
| // Access full thread messages from the config | ||
| const currentMessages = | ||
| getCurrentTaskInput<InternalAgentState>(config).messages; |
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As mentioned on docs PR, this is an error because it appears InternalAgentState is not exported from langchain so I didn't import it at the top
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Hmm maybe we should change it then
Just translates the Python version of the supervisor tutorial to js. - Depends on langchain-ai/langchainjs#9228 - See also langchain-ai/langchainjs#9235 --------- Co-authored-by: Copilot <[email protected]> Co-authored-by: Lauren Hirata Singh <[email protected]>
Just translates the Python version of the supervisor tutorial to js. - Depends on langchain-ai/langchainjs#9228 - See also langchain-ai/langchainjs#9235 --------- Co-authored-by: Copilot <[email protected]> Co-authored-by: Lauren Hirata Singh <[email protected]>
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To accompany https://docs.langchain.com/oss/javascript/langchain/supervisor from langchain-ai/docs#981
BaseMessage.toFormattedString()#9228