50 lines
1.0 KiB
YAML
50 lines
1.0 KiB
YAML
# Simple LangGraph Example
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# Demonstrates basic LangGraph functionality with linear flow
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agents:
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assistant:
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type: llm
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config:
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provider: openai
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model: gpt-3.5-turbo
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temperature: 0.7
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system_prompt: "You are a helpful assistant."
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# NEW: Unified routes section
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routes:
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# Define the graph as a route
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simple_chat:
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type: graph # REQUIRED: Must specify type (stream or graph)
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entry_point: start
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nodes:
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# Process user input
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process_input:
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type: agent
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agent: assistant
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edges:
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- source: start
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target: process_input
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- source: process_input
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target: end
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# Input stream that triggers the graph
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chat_input:
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type: stream # REQUIRED: Must specify type
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stream_type: cold
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operators:
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- type: graph_execute
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params:
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graph: simple_chat
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publications:
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- __output__
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# Route input to the stream
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merges:
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- sources: [__input__]
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target: chat_input
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context:
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global:
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app_name: "Simple LangGraph Chat" |