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* fix(gemini): enable inputAudioTranscription and handle transcription events for realtime guardrails Gemini sends inputTranscription/outputTranscription inside serverContent separately from modelTurn/turnComplete. This adds handling to convert them into OpenAI-compatible events so the guardrail pipeline can inspect voice input, and enables inputAudioTranscription in the session setup config. Made-with: Cursor * fix(vertex_ai): enable inputAudioTranscription in realtime session config Add inputAudioTranscription to the Vertex AI realtime setup so the backend returns transcripts of user speech, allowing guardrails to inspect voice input. Made-with: Cursor * fix(realtime): pass user_api_key_dict and guardrail metadata through async_realtime handler The base LLM HTTP handler's async_realtime method was not accepting or forwarding user_api_key_dict and litellm_metadata to RealTimeStreaming. This meant guardrails configured with default_on=false were silently skipped for all provider_config-based realtime connections (Gemini, Vertex AI, etc). Also fixes wss:// connections when SSL_VERIFY=False by overriding ssl=False for secure WebSocket URLs. Made-with: Cursor * fix(realtime): forward guardrail metadata for generic provider_config and vertex_ai paths The _arealtime function was not passing user_api_key_dict or litellm_metadata to base_llm_http_handler.async_realtime() for the generic provider_config path and the vertex_ai-specific path. This broke guardrail resolution since RealTimeStreaming.request_data was empty, causing should_run_guardrail to return False. Made-with: Cursor * fix(realtime): voice guardrail responses and block duplicate response.create on text input When a guardrail blocks voice input, send a conversation.item.create + response.create to the backend so the LLM voices the guardrail message as audio instead of only returning text. Also adds pending_guardrail_message tracking to suppress the automatic response.create the client sends after a blocked text message, and broadens _has_audio_transcription_guardrails to match pre_call/post_call modes. Made-with: Cursor * test(realtime): update guardrail tests for broadened audio transcription check and add integration tests Update existing tests to reflect that pre_call guardrails now correctly trigger the audio/VAD session.update injection. Add integration test file for live OpenAI realtime guardrail testing. Made-with: Cursor * fix(realtime): instruct LLM to say exact guardrail message verbatim The previous prompt gave the LLM creative freedom to paraphrase the guardrail violation message. Now it instructs the LLM to repeat the exact configured message word for word. Made-with: Cursor * fix(realtime): preserve wss ssl semantics and move live guardrail test Keep TLS enabled for wss realtime sessions while honoring SSL_VERIFY=False via a no-verify SSLContext, move the OpenAI live guardrail test into llm_translation, and dedupe duplicated guardrail-detection helpers to prevent drift. Made-with: Cursor |
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| .. | ||
| fixtures | ||
| realtime | ||
| test-skill | ||
| test_llm_response_utils | ||
| test_skills_data | ||
| base_audio_transcription_unit_tests.py | ||
| base_embedding_unit_tests.py | ||
| base_llm_unit_tests.py | ||
| base_rerank_unit_tests.py | ||
| conftest.py | ||
| dog.wav | ||
| duck.png | ||
| gettysburg.wav | ||
| guinea.png | ||
| log.xt | ||
| Readme.md | ||
| test_a2a.py | ||
| test_anthropic_completion.py | ||
| test_aws_base_llm.py | ||
| test_azure_agents.py | ||
| test_azure_ai.py | ||
| test_azure_o_series.py | ||
| test_azure_openai.py | ||
| test_bedrock_agentcore.py | ||
| test_bedrock_agents.py | ||
| test_bedrock_anthropic_regression.py | ||
| test_bedrock_common_utils.py | ||
| test_bedrock_completion.py | ||
| test_bedrock_dynamic_auth_params_unit_tests.py | ||
| test_bedrock_embedding.py | ||
| test_bedrock_govcloud.py | ||
| test_bedrock_gpt_oss.py | ||
| test_bedrock_invoke_tests.py | ||
| test_bedrock_llama.py | ||
| test_bedrock_moonshot.py | ||
| test_bedrock_nova_embedding.py | ||
| test_bedrock_nova_json.py | ||
| test_clarifai_completion.py | ||
| test_cloudflare.py | ||
| test_cohere.py | ||
| test_containers_api.py | ||
| test_convert_dict_to_image.py | ||
| test_databricks.py | ||
| test_deepgram.py | ||
| test_deepseek_completion.py | ||
| test_elevenlabs.py | ||
| test_evals_api.py | ||
| test_fireworks_ai_translation.py | ||
| test_gemini.py | ||
| test_gemini_image_usage.py | ||
| test_gigachat.py | ||
| test_gpt4o_audio.py | ||
| test_groq.py | ||
| test_hosted_vllm_embedding_e2e.py | ||
| test_huggingface_chat_completion.py | ||
| test_hyperbolic.py | ||
| test_infinity.py | ||
| test_jina_ai.py | ||
| test_lambda_ai.py | ||
| test_langgraph.py | ||
| test_litellm_proxy_provider.py | ||
| test_minimax_tts.py | ||
| test_mistral_api.py | ||
| test_model_cost_map_resilience.py | ||
| test_morph.py | ||
| test_nvidia_nim.py | ||
| test_openai.py | ||
| test_openai_o1.py | ||
| test_openrouter.py | ||
| test_optional_params.py | ||
| test_perplexity_reasoning.py | ||
| test_prompt_caching.py | ||
| test_prompt_factory.py | ||
| test_replicate.py | ||
| test_rerank.py | ||
| test_router_llm_translation_tests.py | ||
| test_sambanova_chat_transformation.py | ||
| test_skills_api.py | ||
| test_skills_e2e.py | ||
| test_snowflake.py | ||
| test_text_completion.py | ||
| test_text_completion_unit_tests.py | ||
| test_together_ai.py | ||
| test_triton.py | ||
| test_unit_test_bedrock_invoke.py | ||
| test_v0.py | ||
| test_voyage_ai.py | ||
| test_watsonx.py | ||
| test_xai.py | ||
Unit tests for individual LLM providers.
Name of the test file is the name of the LLM provider - e.g. test_openai.py is for OpenAI.