feat: migrate chat orchestration to deep langgraph workers

This commit is contained in:
2026-03-12 22:25:36 +01:00
parent 2de67213f8
commit fe085a7951
27 changed files with 716 additions and 3590 deletions

View File

@@ -41,41 +41,13 @@ class ChatContext(BaseModel):
conversation_history: list[dict[str, Any]] = Field(default_factory=list)
class PlanAction(BaseModel):
type: Literal[
"create_record",
"update_record",
"delete_record",
"index_document",
"send_notification",
]
table: str | None = None
data: dict[str, Any] | None = None
class ChatRequest(BaseModel):
message: str
context: ChatContext = Field(default_factory=ChatContext)
execution_mode: Literal["direct", "plan"] = "direct"
class ChatResponse(BaseModel):
response: str
actions: list[PlanAction] = Field(default_factory=list)
# ── Execution Plans ──────────────────────────────────────────────────
class PlanStep(BaseModel):
action: str
prompt_template: str | None = None
variables: dict[str, Any] | None = None
data_from_step: int | None = None
class ExecutionPlan(BaseModel):
agent: str
steps: list[PlanStep] = Field(default_factory=list)
# ── Backup ───────────────────────────────────────────────────────────
@@ -179,7 +151,6 @@ class WsFrameType(str, Enum):
floating_request = "floating_request"
stream_start = "stream_start"
stream_text = "stream_text"
stream_block = "stream_block"
stream_end = "stream_end"
floating_domain = "floating_domain"
data_request = "data_request"
@@ -303,21 +274,11 @@ class WsStreamText(BaseModel):
chunk: str
class WsStreamBlock(BaseModel):
"""Server → Client: structured block (chart, table, entity, timeline)."""
type: Literal[WsFrameType.stream_block] = WsFrameType.stream_block
request_id: str
block_type: Literal["chart", "entity_ref", "table", "timeline"]
data: dict[str, Any]
class WsStreamEnd(BaseModel):
"""Server → Client: signals end of a streaming response."""
type: Literal[WsFrameType.stream_end] = WsFrameType.stream_end
request_id: str
mutations: list[dict[str, Any]] = Field(default_factory=list)
class WsFloatingDomain(BaseModel):