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732b14f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 | """Unified async entry points for section generation LLM calls.
Callers in async handlers should use these helpers instead of branching on
``enable_async_pipeline`` at every call site.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
from app.async_executor import run_sync_in_executor
from app.config import settings
from app.generator.adapter import get_llm_adapter
from app.llm.async_llm_adapter import get_async_llm_adapter
if TYPE_CHECKING:
from app.models.schemas import WritingStyleProfile
async def generate_section(
*,
skeleton: str,
bullets: list[str],
snippets: list[str],
style_profile: "WritingStyleProfile | None" = None,
temperature: float = 0.2,
creativity_hint: str = "",
document_context: list[str] | None = None,
style_anchor: str | None = None,
hierarchy_section_snippets: list[str] | None = None,
paragraph_snippets: list[str] | None = None,
identity_facts: str | None = None,
survey_level: int | None = None,
reference_only_context: bool = False,
ai_percent: int | None = None,
interference_level: str | None = None,
tenant_id: str | None = None,
) -> str:
if settings.enable_async_pipeline:
return await get_async_llm_adapter().generate_section(
skeleton=skeleton,
bullets=bullets,
snippets=snippets,
style_profile=style_profile,
temperature=temperature,
creativity_hint=creativity_hint,
document_context=document_context,
style_anchor=style_anchor,
hierarchy_section_snippets=hierarchy_section_snippets,
paragraph_snippets=paragraph_snippets,
identity_facts=identity_facts,
survey_level=survey_level,
reference_only_context=reference_only_context,
ai_percent=ai_percent,
interference_level=interference_level,
tenant_id=tenant_id,
)
return await run_sync_in_executor(
get_llm_adapter().generate_section,
skeleton=skeleton,
bullets=bullets,
snippets=snippets,
style_profile=style_profile,
temperature=temperature,
creativity_hint=creativity_hint,
document_context=document_context,
style_anchor=style_anchor,
hierarchy_section_snippets=hierarchy_section_snippets,
paragraph_snippets=paragraph_snippets,
identity_facts=identity_facts,
survey_level=survey_level,
reference_only_context=reference_only_context,
ai_percent=ai_percent,
interference_level=interference_level,
tenant_id=tenant_id,
)
async def proofread(
*,
text: str,
bullets: list[str],
style_profile: "WritingStyleProfile | None" = None,
temperature: float = 0.15,
creativity_hint: str = "",
) -> str:
if settings.enable_async_pipeline:
return await get_async_llm_adapter().proofread(
text=text,
bullets=bullets,
style_profile=style_profile,
temperature=temperature,
creativity_hint=creativity_hint,
)
return await run_sync_in_executor(
get_llm_adapter().proofread,
text=text,
bullets=bullets,
style_profile=style_profile,
temperature=temperature,
creativity_hint=creativity_hint,
)
async def enhance(
*,
text: str,
bullets: list[str],
snippets: list[str],
style_profile: "WritingStyleProfile | None" = None,
temperature: float = 0.2,
creativity_hint: str = "",
) -> str:
if settings.enable_async_pipeline:
return await get_async_llm_adapter().enhance(
text=text,
bullets=bullets,
snippets=snippets,
style_profile=style_profile,
temperature=temperature,
creativity_hint=creativity_hint,
)
return await run_sync_in_executor(
get_llm_adapter().enhance,
text=text,
bullets=bullets,
snippets=snippets,
style_profile=style_profile,
temperature=temperature,
creativity_hint=creativity_hint,
)
async def validate_section_compliance(
*,
survey_level: int | None,
section_code: str,
bullets: list[str],
evidence_snippets: list[str],
text: str,
) -> str:
if settings.enable_async_pipeline:
return await get_async_llm_adapter().validate_section_compliance(
survey_level=survey_level,
section_code=section_code,
bullets=bullets,
evidence_snippets=evidence_snippets,
text=text,
)
return await run_sync_in_executor(
get_llm_adapter().validate_section_compliance,
survey_level=survey_level,
section_code=section_code,
bullets=bullets,
evidence_snippets=evidence_snippets,
text=text,
)
async def constrained_weave(
*,
section_code: str,
section_title: str | None,
bullets: list[str],
standard_passages: list[str],
survey_level: int | None = None,
tenant_id: str | None = None,
) -> str:
if settings.enable_async_pipeline:
return await get_async_llm_adapter().constrained_weave(
section_code=section_code,
section_title=section_title,
bullets=bullets,
standard_passages=standard_passages,
survey_level=survey_level,
tenant_id=tenant_id,
)
return await run_sync_in_executor(
get_llm_adapter().constrained_weave,
section_code=section_code,
section_title=section_title,
bullets=bullets,
standard_passages=standard_passages,
survey_level=survey_level,
tenant_id=tenant_id,
)
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