mirror of
https://github.com/agentscope-ai/ReMe.git
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* feat(service): bind network services to all interfaces * fix(service): keep network listeners local by default * fix(service): make remote access explicit
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
"""Constants"""
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REME_SERVICE_INFO = "REME_SERVICE_INFO"
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# Loopback address used by services and clients unless a host is configured.
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REME_DEFAULT_HOST = "127.0.0.1"
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# Wildcard address accepted when a service is explicitly configured to listen
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# on every IPv4 interface.
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REME_WILDCARD_BIND_HOST = "0.0.0.0"
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REME_DEFAULT_PORT = 2333
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def normalize_connect_host(host: str) -> str:
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"""Return a local destination for an address used only for binding."""
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return REME_DEFAULT_HOST if host == REME_WILDCARD_BIND_HOST else host
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# CRUD steps: file IO limits and truncation marker (shared across CRUD steps).
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DEFAULT_MAX_BYTES = 50 * 1024
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MAX_FILE_READ_BYTES = 200 * 1024 * 1024
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TRUNCATION_NOTICE_MARKER = "<<TRUNCATION_NOTICE>>"
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# read_image step: oversized images above this threshold return path & metadata
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# only (no base64) to keep LLM context budgets safe.
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DEFAULT_MAX_IMAGE_BYTES = 5 * 1024 * 1024
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# Background content-processing jobs skip files above this size. File watchers
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# and catalogs still track them so deletes and later size reductions are seen.
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DEFAULT_MAX_FILE_BYTES = 20 * 1024 * 1024
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# Memory-tag generation and indexing defaults.
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DEFAULT_MEMORY_TAG_KEY = "memory_tags"
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DEFAULT_MAX_MEMORY_TAGS = 3
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DEFAULT_MAX_MEMORY_TAG_LENGTH = 64
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