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Mirrors the LLM treatment from #368 for the OpenAI STT and OpenAI TTS providers. Users running OpenAI-compatible self-hosted services (vLLM, Speaches, llama.cpp, custom proxies) can now point Dograh at them via the OpenAI provider with `base_url`, instead of being forced onto the Speaches provider as a workaround. Changes: * `registry.py` — add `base_url` field (default `https://api.openai.com/v1`) to `OpenAISTTConfiguration` and `OpenAITTSService`, identical in shape to the existing `OpenAILLMService.base_url` from #368. * `service_factory.py` — in the OPENAI branches of `create_stt_service` and `create_tts_service`, lift `base_url` off the user config, run it through `_validate_runtime_service_url`, and forward it as a kwarg to `OpenAISTTService` / `OpenAITTSService` (both already accept it). Same pattern as the LLM branch. * `test_user_configured_service_url_security.py` — adds four runtime validation tests covering private-IP rejection and localhost rejection in SaaS mode for both STT and TTS. Existing OSS-mode permissiveness is unchanged (DEPLOYMENT_MODE=oss skips the validator, as before). No schema migration needed — Pydantic populates the default; existing configurations without `base_url` continue to talk to api.openai.com. `check_validity.py` requires no edits because the per-service validation loop already iterates `("base_url", "endpoint")` via `getattr`, and the `_check_openai_api_key` dispatcher already routes OPENAI providers through the base_url-aware code path (introduced in #368) for STT and TTS too. Tests pass locally: pytest api/tests/test_user_configured_service_url_security.py 23 passed in 4.80s (19 existing + 4 new) Co-authored-by: developer603 <developer603@users.noreply.github.com>
300 lines
9.5 KiB
Python
300 lines
9.5 KiB
Python
from types import SimpleNamespace
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import pytest
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from fastapi import HTTPException
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from api.services.configuration.check_validity import UserConfigurationValidator
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from api.services.configuration.registry import (
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ServiceProviders,
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SpeachesLLMConfiguration,
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)
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from api.services.gen_ai.embedding.openai_service import OpenAIEmbeddingService
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from api.services.pipecat.service_factory import (
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create_llm_service_from_provider,
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create_stt_service,
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create_tts_service,
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)
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from api.utils.url_security import validate_user_configured_service_url
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def test_oss_allows_local_service_urls(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "oss")
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validate_user_configured_service_url(
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"http://localhost:11434/v1",
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field_name="base_url",
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)
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@pytest.mark.parametrize(
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"url",
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[
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"http://localhost:11434/v1",
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"http://127.0.0.1:11434/v1",
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"http://10.0.0.10/v1",
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"http://169.254.169.254/latest/meta-data",
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"http://100.64.0.1/v1",
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],
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)
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def test_saas_blocks_local_and_internal_service_urls(url, monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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with pytest.raises(ValueError):
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validate_user_configured_service_url(
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url,
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field_name="base_url",
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)
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def test_saas_rejects_unsupported_service_url_schemes(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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with pytest.raises(ValueError, match="http, https, ws, or wss"):
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validate_user_configured_service_url(
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"file:///etc/passwd",
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field_name="base_url",
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)
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def test_saas_checks_resolved_hostname_ips(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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def fake_getaddrinfo(*_args, **_kwargs):
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return [(None, None, None, None, ("10.0.0.10", 443))]
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monkeypatch.setattr("api.utils.url_security.socket.getaddrinfo", fake_getaddrinfo)
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with pytest.raises(ValueError, match="public IP"):
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validate_user_configured_service_url(
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"https://internal.example.com/v1",
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field_name="base_url",
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)
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def test_saas_allows_public_service_url(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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def fake_getaddrinfo(*_args, **_kwargs):
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return [(None, None, None, None, ("8.8.8.8", 443))]
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monkeypatch.setattr("api.utils.url_security.socket.getaddrinfo", fake_getaddrinfo)
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validate_user_configured_service_url(
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"https://api.example.com/v1",
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field_name="base_url",
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)
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def test_saas_allows_public_websocket_service_url(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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def fake_getaddrinfo(*_args, **_kwargs):
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return [(None, None, None, None, ("8.8.8.8", 443))]
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monkeypatch.setattr("api.utils.url_security.socket.getaddrinfo", fake_getaddrinfo)
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validate_user_configured_service_url(
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"wss://api.example.com/v1",
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field_name="base_url",
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)
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def test_saas_blocks_local_websocket_service_url(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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with pytest.raises(ValueError, match="localhost"):
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validate_user_configured_service_url(
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"ws://localhost:8000/v1",
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field_name="base_url",
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)
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def test_validator_blocks_speaches_local_base_url_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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validator = UserConfigurationValidator()
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config = SpeachesLLMConfiguration()
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result = validator._validate_service(config, "llm")
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assert result == [
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{
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"model": "llm",
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"message": "base_url cannot point to localhost in SaaS mode",
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}
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]
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def test_validator_blocks_azure_private_endpoint_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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validator = UserConfigurationValidator()
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config = SimpleNamespace(
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provider=ServiceProviders.AZURE.value,
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endpoint="http://10.0.0.10/openai",
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api_key="test-key",
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)
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result = validator._validate_service(config, "llm")
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assert result == [
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{
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"model": "llm",
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"message": "endpoint must resolve to a public IP address in SaaS mode",
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}
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]
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def test_validator_allows_speaches_local_base_url_in_oss(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "oss")
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validator = UserConfigurationValidator()
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config = SpeachesLLMConfiguration()
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assert validator._validate_service(config, "llm") == []
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def test_runtime_blocks_speaches_default_llm_base_url_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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with pytest.raises(HTTPException) as exc_info:
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create_llm_service_from_provider(
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provider=ServiceProviders.SPEACHES.value,
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model="llama3",
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api_key=None,
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)
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assert exc_info.value.status_code == 400
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assert "localhost" in exc_info.value.detail
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def test_runtime_blocks_openai_private_base_url_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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with pytest.raises(HTTPException) as exc_info:
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create_llm_service_from_provider(
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provider=ServiceProviders.OPENAI.value,
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model="gpt-4.1",
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api_key="test-key",
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base_url="http://10.0.0.10/v1",
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)
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assert exc_info.value.status_code == 400
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assert "public IP" in exc_info.value.detail
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def test_runtime_blocks_azure_private_endpoint_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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with pytest.raises(HTTPException) as exc_info:
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create_llm_service_from_provider(
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provider=ServiceProviders.AZURE.value,
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model="gpt-4.1-mini",
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api_key="test-key",
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endpoint="http://10.0.0.10/openai",
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)
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assert exc_info.value.status_code == 400
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assert "public IP" in exc_info.value.detail
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def test_runtime_blocks_elevenlabs_local_tts_base_url_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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user_config = SimpleNamespace(
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tts=SimpleNamespace(
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provider=ServiceProviders.ELEVENLABS.value,
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api_key="test-key",
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model="eleven_flash_v2_5",
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voice="voice-id",
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speed=1.0,
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base_url="http://localhost:8000",
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)
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)
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with pytest.raises(HTTPException) as exc_info:
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create_tts_service(user_config, audio_config=None)
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assert exc_info.value.status_code == 400
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assert "localhost" in exc_info.value.detail
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def test_runtime_blocks_openai_stt_private_base_url_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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user_config = SimpleNamespace(
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stt=SimpleNamespace(
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provider=ServiceProviders.OPENAI.value,
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api_key="test-key",
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model="gpt-4o-transcribe",
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base_url="http://10.0.0.10/v1",
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)
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)
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with pytest.raises(HTTPException) as exc_info:
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create_stt_service(user_config, audio_config=None)
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assert exc_info.value.status_code == 400
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assert "public IP" in exc_info.value.detail
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def test_runtime_blocks_openai_stt_localhost_base_url_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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user_config = SimpleNamespace(
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stt=SimpleNamespace(
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provider=ServiceProviders.OPENAI.value,
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api_key="test-key",
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model="gpt-4o-transcribe",
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base_url="http://localhost:8000/v1",
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)
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)
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with pytest.raises(HTTPException) as exc_info:
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create_stt_service(user_config, audio_config=None)
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assert exc_info.value.status_code == 400
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assert "localhost" in exc_info.value.detail
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def test_runtime_blocks_openai_tts_private_base_url_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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user_config = SimpleNamespace(
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tts=SimpleNamespace(
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provider=ServiceProviders.OPENAI.value,
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api_key="test-key",
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model="gpt-4o-mini-tts",
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voice="alloy",
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base_url="http://10.0.0.10/v1",
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)
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)
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with pytest.raises(HTTPException) as exc_info:
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create_tts_service(user_config, audio_config=None)
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assert exc_info.value.status_code == 400
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assert "public IP" in exc_info.value.detail
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def test_runtime_blocks_openai_tts_localhost_base_url_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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user_config = SimpleNamespace(
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tts=SimpleNamespace(
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provider=ServiceProviders.OPENAI.value,
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api_key="test-key",
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model="gpt-4o-mini-tts",
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voice="alloy",
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base_url="http://localhost:8000/v1",
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)
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)
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with pytest.raises(HTTPException) as exc_info:
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create_tts_service(user_config, audio_config=None)
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assert exc_info.value.status_code == 400
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assert "localhost" in exc_info.value.detail
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def test_embedding_service_blocks_private_base_url_in_saas(monkeypatch):
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monkeypatch.setattr("api.utils.url_security.DEPLOYMENT_MODE", "saas")
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with pytest.raises(ValueError, match="public IP"):
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OpenAIEmbeddingService(
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db_client=SimpleNamespace(),
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api_key="test-key",
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base_url="http://10.0.0.10/v1",
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)
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