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56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
from pydantic import Field, NonNegativeFloat, NonNegativeInt, PositiveFloat
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from pydantic_settings import BaseSettings
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class AgentBackendConfig(BaseSettings):
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"""
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Configuration settings for the Agent backend runtime integration.
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"""
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AGENT_BACKEND_BASE_URL: str | None = Field(
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description="Base URL for the Dify Agent backend service.",
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default=None,
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)
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AGENT_BACKEND_USE_FAKE: bool = Field(
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description="Use the deterministic in-process fake Agent backend client.",
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default=False,
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)
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AGENT_BACKEND_FAKE_SCENARIO: str = Field(
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description="Scenario used by the fake Agent backend client.",
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default="success",
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)
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AGENT_BACKEND_STREAM_READ_TIMEOUT_SECONDS: PositiveFloat = Field(
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description="Read timeout for one Agent backend SSE connection.",
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default=30,
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)
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AGENT_BACKEND_STREAM_MAX_RECONNECTS: NonNegativeInt = Field(
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description="Maximum Agent backend SSE reconnects before failing the run.",
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default=3,
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)
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AGENT_BACKEND_RUN_TIMEOUT_SECONDS: PositiveFloat = Field(
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description="Total deadline for one Agent backend run event stream.",
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default=1200,
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)
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AGENT_SHELL_ENABLED: bool = Field(
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description=(
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"Inject the dify.shell layer (sandboxed bash workspace) into Agent runs. "
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"Requires the agent backend to be wired with a shellctl entrypoint before "
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"shell-using Agent runs are executed."
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),
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default=True,
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)
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AGENT_APP_TEXT_DELTA_DEBOUNCE_SECONDS: NonNegativeFloat = Field(
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description=(
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"Buffer Agent App assistant text deltas for up to this many seconds before "
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"publishing SSE chunks. Set to 0 to publish each delta immediately."
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),
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default=0.5,
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)
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