alvaro
abd03ed07d
Rename the project directories, Python distribution and import package, and npm package. Update launcher, Docker, tooling, tests, lockfiles, and documentation while preserving existing API contracts. Make AGENTS.md self-contained and remove external skill and workflow references.
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
from __future__ import annotations
|
|
|
|
from typing import Any
|
|
|
|
from pydantic import BaseModel, ConfigDict
|
|
|
|
|
|
class SearchRequest(BaseModel):
|
|
query: str
|
|
# Optional user-supplied key (fallback when the deploy has no server key).
|
|
# Used for this request only; never stored.
|
|
key: str | None = None
|
|
|
|
|
|
class ReasoningRequest(BaseModel):
|
|
transcript: str
|
|
instructions: str = ""
|
|
language: str = ""
|
|
user_context: str = ""
|
|
# Optional phone number. When S2S_INJECT_PROFILE is true the proxy fetches
|
|
# the caller profile from VOCERO_USER_PHONE_AUTH_URL and:
|
|
# 1. prepends the serialized profile to user_context before feeding the
|
|
# OpenAI-compatible provider;
|
|
# 2. appends the profile context to the LLM instructions prompt.
|
|
phoneNumber: str | None = None
|
|
# Optional podcast episode ID. When set the proxy fetches the episode from
|
|
# the Aquachile AzurianLab API and injects it as the PRIMARY context into
|
|
# both user_context (prepended) and LLM instructions prompt (appended first).
|
|
episode_id: str | None = None
|
|
|
|
|
|
class ApipilotExecuteRequest(BaseModel):
|
|
"""Body for the ApiPilot execute proxy endpoint. Mirrors §2.2 request shape."""
|
|
|
|
name: str
|
|
arguments: dict = {}
|
|
|
|
|
|
class QueueEndPayload(BaseModel):
|
|
"""A view of a decoded beacon object, preserving the legacy loose value.
|
|
|
|
Missing/invalid JSON and non-object bodies are still handled by the route.
|
|
In particular, a truthy non-string ID must retain its existing behavior.
|
|
"""
|
|
|
|
model_config = ConfigDict(extra="allow")
|
|
queueId: Any = ""
|