mirror of
https://github.com/bytedance/deer-flow.git
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7bf618de67
- Updated documentation and comments to reflect the transition from LangGraph Server to Gateway. - Changed default URLs in ChannelManager and tests to point to Gateway. - Removed references to LangGraph Server in deployment scripts and configurations. - Updated Nginx configuration to route API traffic to Gateway. - Adjusted frontend configurations to utilize Gateway's API. - Removed LangGraph service from Docker Compose files, consolidating services under Gateway. - Added regression tests to ensure Gateway integration works as expected. Co-authored-by: Copilot <copilot@github.com>
17 lines
499 B
Python
17 lines
499 B
Python
"""IM Channel integration for DeerFlow.
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Provides a pluggable channel system that connects external messaging platforms
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(Feishu/Lark, Slack, Telegram) to the DeerFlow agent via the ChannelManager,
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which uses ``langgraph-sdk`` to communicate with Gateway's LangGraph-compatible API.
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"""
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from app.channels.base import Channel
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from app.channels.message_bus import InboundMessage, MessageBus, OutboundMessage
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__all__ = [
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"Channel",
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"InboundMessage",
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"MessageBus",
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"OutboundMessage",
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]
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