85c3ec0222
- thread_state.soft_insertion_count: растёт при боковом ответе (soft_insertion=true
в STATE_JSON без смены шага/слотов), сбрасывается при продвижении или handoff
- При soft_insertion_count >= 3 в системный промпт ветки добавляется SOFT_INSERTION_NUDGE
— явная инструкция вернуть пациента к вопросу текущего шага
- state_machine.parse_branch_response читает флаг soft_insertion из STATE_JSON
- Новая колонка message.meta_json: {router_intent_code, served_intent_code, step_code, events}
— хранит снимок маршрутизации каждой реплики ассистента
- «Песочница»: бейджи событий (sticky / soft_insertion / hard_handoff / resumed /
routing_loop / validation_blocked) над каждым ответом ассистента
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
226 lines
4.8 KiB
Python
226 lines
4.8 KiB
Python
from pydantic import BaseModel, Field
|
|
|
|
|
|
class DocumentInfo(BaseModel):
|
|
document_id: str
|
|
name: str
|
|
chunks_count: int
|
|
file_type: str
|
|
created_at: str
|
|
metadata: dict = Field(default_factory=dict)
|
|
|
|
|
|
class ChunkPreview(BaseModel):
|
|
index: int
|
|
section: str = ""
|
|
page_number: int = 0
|
|
text_preview: str = ""
|
|
char_length: int = 0
|
|
|
|
|
|
class DocumentUploadResponse(BaseModel):
|
|
document_id: str
|
|
name: str
|
|
chunks_count: int
|
|
status: str = "indexed"
|
|
created_at: str
|
|
chunks_preview: list[ChunkPreview] = Field(default_factory=list)
|
|
|
|
|
|
class DocumentListResponse(BaseModel):
|
|
documents: list[DocumentInfo]
|
|
total: int
|
|
|
|
|
|
class ChunkDetail(BaseModel):
|
|
index: int
|
|
section: str = ""
|
|
page_number: int = 0
|
|
text: str = ""
|
|
char_length: int = 0
|
|
embedding: list[float] = Field(default_factory=list)
|
|
embedding_dim: int = 0
|
|
|
|
|
|
class DocumentChunksResponse(BaseModel):
|
|
document_id: str
|
|
name: str
|
|
file_type: str
|
|
chunks_count: int
|
|
chunks: list[ChunkDetail] = Field(default_factory=list)
|
|
|
|
|
|
class DocumentDeleteResponse(BaseModel):
|
|
ok: bool = True
|
|
deleted_chunks: int
|
|
|
|
|
|
class SourceInfo(BaseModel):
|
|
document_id: str
|
|
document_name: str
|
|
chunk_text: str
|
|
section: str = ""
|
|
page: int = 0
|
|
relevance_score: float = 0.0
|
|
|
|
|
|
class QueryResponse(BaseModel):
|
|
answer: str
|
|
sources: list[SourceInfo]
|
|
model_used: str
|
|
assembled_prompt: str = ""
|
|
|
|
|
|
class HealthResponse(BaseModel):
|
|
status: str = "ok"
|
|
chromadb: str
|
|
embedding_model: str
|
|
documents_count: int
|
|
chunks_count: int
|
|
|
|
|
|
class MessageInfo(BaseModel):
|
|
id: int
|
|
role: str
|
|
text: str
|
|
created_at: str
|
|
sources: list[SourceInfo] = Field(default_factory=list)
|
|
assembled_prompt: str = ""
|
|
intent_code: str = ""
|
|
intent_name: str = ""
|
|
meta: dict | None = None
|
|
|
|
|
|
class ThreadInfo(BaseModel):
|
|
id: int
|
|
name: str
|
|
created_at: str
|
|
updated_at: str
|
|
messages_count: int
|
|
first_message_preview: str = ""
|
|
|
|
|
|
class ThreadListResponse(BaseModel):
|
|
threads: list[ThreadInfo]
|
|
total: int
|
|
|
|
|
|
class ThreadStateInfo(BaseModel):
|
|
current_intent_code: str | None = None
|
|
current_step: int = 0
|
|
current_step_code: str | None = None
|
|
slots: dict = Field(default_factory=dict)
|
|
handoff_count: int = 0
|
|
soft_insertion_count: int = 0
|
|
suspended_intent: str | None = None
|
|
resumable_step_code: str | None = None
|
|
resumable_slots: dict = Field(default_factory=dict)
|
|
|
|
|
|
class BounceInfo(BaseModel):
|
|
from_: str = Field(alias="from")
|
|
to: str
|
|
preface: str = ""
|
|
|
|
model_config = {"populate_by_name": True}
|
|
|
|
|
|
class ValidationEventInfo(BaseModel):
|
|
current_step: str
|
|
requested_step: str
|
|
reason: str
|
|
|
|
|
|
class ThreadDetailResponse(BaseModel):
|
|
id: int
|
|
name: str
|
|
created_at: str
|
|
updated_at: str
|
|
messages: list[MessageInfo] = Field(default_factory=list)
|
|
thread_state: ThreadStateInfo | None = None
|
|
|
|
|
|
class ChatResponse(BaseModel):
|
|
thread_id: int
|
|
thread_name: str
|
|
message_id: int
|
|
intent_code: str = ""
|
|
intent_name: str = ""
|
|
router_intent_code: str = ""
|
|
config_version: int = 0
|
|
router_version: int | None = None
|
|
answer: str
|
|
sources: list[SourceInfo]
|
|
model_used: str
|
|
assembled_prompt: str = ""
|
|
thread_state: ThreadStateInfo = Field(default_factory=ThreadStateInfo)
|
|
bounces: list[BounceInfo] = Field(default_factory=list)
|
|
validation_events: list[ValidationEventInfo] = Field(default_factory=list)
|
|
parse_error: str | None = None
|
|
routing_loop_triggered: bool = False
|
|
resumed_from_suspended: bool = False
|
|
message_meta: dict | None = None
|
|
|
|
|
|
class ThreadDeleteResponse(BaseModel):
|
|
ok: bool = True
|
|
deleted_messages: int
|
|
|
|
|
|
class AgentConfigInfo(BaseModel):
|
|
id: int
|
|
intent_id: int | None = None
|
|
intent_code: str = ""
|
|
intent_name: str = ""
|
|
version: int
|
|
name: str | None = None
|
|
system_prompt: str
|
|
rules_text: str = ""
|
|
exit_conditions_text: str = ""
|
|
is_active: bool
|
|
created_at: str
|
|
|
|
|
|
class AgentConfigListResponse(BaseModel):
|
|
configs: list[AgentConfigInfo]
|
|
total: int
|
|
|
|
|
|
class AgentConfigDeleteResponse(BaseModel):
|
|
ok: bool = True
|
|
|
|
|
|
class IntentInfo(BaseModel):
|
|
id: int
|
|
code: str
|
|
name: str
|
|
description: str = ""
|
|
is_enabled: bool
|
|
order_index: int
|
|
active_config_id: int | None = None
|
|
active_config_version: int | None = None
|
|
|
|
|
|
class IntentListResponse(BaseModel):
|
|
intents: list[IntentInfo]
|
|
total: int
|
|
|
|
|
|
class IntentStepInfo(BaseModel):
|
|
id: int
|
|
intent_id: int
|
|
intent_code: str = ""
|
|
code: str
|
|
name: str
|
|
order_index: int
|
|
system_prompt: str = ""
|
|
allowed_next: list[str] = Field(default_factory=list)
|
|
guards: dict = Field(default_factory=dict)
|
|
updated_at: str
|
|
|
|
|
|
class IntentStepListResponse(BaseModel):
|
|
intent_code: str
|
|
steps: list[IntentStepInfo]
|
|
total: int
|