dograh/api/schemas/workflow_configurations.py
Abhishek 041c31a613
fix: increase concurrency limit an handle it across all call paths (#508)
* fix: increase concurrency limit an handle it across all call paths

* fix: fix review comments and test

* fix: address concurrency review findings (campaign-scoped counter, cleanup hardening, webrtc run validation)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat: emit usage_concurrent_call_limit_reached PostHog event

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix: align usage event with MPS org-event convention (per-member fan-out)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat: cap max_call_duration at 20 min via typed workflow_configurations request

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-09 18:29:01 +05:30

62 lines
2.3 KiB
Python

from typing import Literal
from pydantic import BaseModel, ConfigDict, Field, model_validator
DEFAULT_MAX_CALL_DURATION_SECONDS = 300
# Hard ceiling on configurable call duration. Must stay <= the concurrency
# rate limiter's stale_call_timeout (20 min): a call running past that has
# its slot purged as stale and the org concurrency limit under-counts.
MAX_CALL_DURATION_SECONDS = 1200
DEFAULT_MAX_USER_IDLE_TIMEOUT_SECONDS = 10.0
DEFAULT_SMART_TURN_STOP_SECS = 2.0
DEFAULT_TURN_START_STRATEGY = "default"
DEFAULT_TURN_START_MIN_WORDS = 3
DEFAULT_PROVISIONAL_VAD_PAUSE_SECS = 1.5
DEFAULT_TURN_STOP_STRATEGY = "transcription"
DEFAULT_CONTEXT_COMPACTION_ENABLED = False
class AmbientNoiseConfigurationDefaults(BaseModel):
model_config = ConfigDict(extra="allow")
enabled: bool = False
volume: float = 0.3
class WorkflowConfigurationDefaults(BaseModel):
model_config = ConfigDict(extra="allow")
@model_validator(mode="before")
@classmethod
def _treat_null_as_unset(cls, data):
# Stored configs (and older clients) carry explicit JSON nulls for
# keys the user never configured; dropping them lets the field
# defaults apply instead of failing validation.
if isinstance(data, dict):
return {k: v for k, v in data.items() if v is not None}
return data
ambient_noise_configuration: AmbientNoiseConfigurationDefaults = Field(
default_factory=AmbientNoiseConfigurationDefaults
)
max_call_duration: int = Field(
default=DEFAULT_MAX_CALL_DURATION_SECONDS,
gt=0,
le=MAX_CALL_DURATION_SECONDS,
)
max_user_idle_timeout: float = DEFAULT_MAX_USER_IDLE_TIMEOUT_SECONDS
smart_turn_stop_secs: float = DEFAULT_SMART_TURN_STOP_SECS
turn_start_strategy: Literal["default", "min_words", "provisional_vad"] = (
DEFAULT_TURN_START_STRATEGY
)
turn_start_min_words: int = DEFAULT_TURN_START_MIN_WORDS
provisional_vad_pause_secs: float = DEFAULT_PROVISIONAL_VAD_PAUSE_SECS
turn_stop_strategy: Literal["transcription", "turn_analyzer"] = (
DEFAULT_TURN_STOP_STRATEGY
)
dictionary: str = ""
context_compaction_enabled: bool = DEFAULT_CONTEXT_COMPACTION_ENABLED
def get_default_workflow_configurations() -> WorkflowConfigurationDefaults:
return WorkflowConfigurationDefaults()