# LLM conversational endpoints (chat_completions, messages, responses). Grounded in proxy handlers + model_prices json.
- {id: llm.chat_completions.openai.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: basic, streaming: nonstream, assertions: [works], source: "proxy_server.py:8455", rationale: "Core endpoint/route/capability"}
- {id: llm.chat_completions.openai.multi_turn.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: multi_turn, streaming: nonstream, assertions: [works], source: "vendor testing strategy §16.2 / LIT-4778", rationale: "Multi-turn history is forwarded so turn 2 can use turn 1 answer"}
- {id: llm.chat_completions.openai.input_validation.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: input_validation, streaming: nonstream, assertions: [works], source: "vendor testing strategy §9.2 / LIT-4778", rationale: "Missing/invalid chat fields return client errors, not silent success"}
- {id: llm.chat_completions.openai.basic.stream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: basic, streaming: stream, assertions: [works], source: "proxy_server.py:8455", rationale: "Core streaming"}
- {id: llm.chat_completions.openai.basic.nonstream.cost_logged, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: basic, streaming: nonstream, assertions: [works, cost_logged], source: "proxy_server.py:8455", rationale: "Cost logging regression catch"}
- {id: llm.chat_completions.openai.passthrough.nonstream.cost_logged, module: llm, tier: P1, subject_endpoint: chat_completions, route: openai, capability: basic, streaming: nonstream, assertions: [works, cost_logged], source: "test_passthrough_e2e.py", rationale: "OpenAI-format chat via the raw /openai/{endpoint} passthrough (/openai/v1/chat/completions); proxy swaps in OPENAI_API_KEY and still logs a costed pass_through_endpoint row (LIT-4752)"}
- {id: llm.chat_completions.openai.tool_use.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "OpenAI function_calling; high usage"}
- {id: llm.chat_completions.openai.tool_use.stream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: tool_use, streaming: stream, assertions: [works], source: "model_prices json", rationale: "Tool calls over streaming"}
- {id: llm.chat_completions.openai.basic.stream.bridge_shares_chunk_id, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: basic, streaming: stream, assertions: [stable_chunk_id], source: "completion_extras/litellm_responses_transformation/transformation.py", rationale: "A responses-only model served over /chat/completions must stream every chunk under one chat completion id; per-chunk ids make id-accumulating SDKs drop the response", fail_before_fix: proven}
- {id: llm.chat_completions.openai.basic.stream.bridge_streams_sse, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: basic, streaming: stream, assertions: [works], source: "completion_extras/litellm_responses_transformation/handler.py", rationale: "The Responses bridge must answer a streaming chat request with real SSE (content deltas, finish_reason, [DONE]), never a completed response the SSE generator cannot iterate"}
- {id: llm.chat_completions.openai.tool_use.stream.bridge_streams_tool_call, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: tool_use, streaming: stream, assertions: [works], source: "completion_extras/litellm_responses_transformation/transformation.py", rationale: "Tool calls translated from Responses events must reassemble into one named call with parseable argument JSON over the bridged stream"}
- {id: llm.chat_completions.openai.vision.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: vision, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "gpt-4o vision; high usage"}
- {id: llm.chat_completions.openai.prompt_cache_5m.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: openai, capability: prompt_cache_5m, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Prompt caching cost optimization"}
- {id: llm.chat_completions.openai.service_tier.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: openai, capability: service_tier, streaming: nonstream, assertions: [works], source: "OpenAI service_tier param", rationale: "OpenAI scale-tier request option is forwarded and echoed"}
- {id: llm.chat_completions.openai.prompt_cache_24h.nonstream.forwards_retention, module: llm, tier: P1, subject_endpoint: chat_completions, route: openai, capability: prompt_cache_24h, streaming: nonstream, assertions: [forwards_retention], source: "main.py completion()", fail_before_fix: proven, rationale: "prompt_cache_retention sent through the proxy, litellm.completion or Router.completion reaches the body sent to OpenAI /v1/chat/completions, so a caller asking for 24h prompt caching gets it instead of a silent drop"}
- {id: llm.chat_completions.openai.prompt_cache_24h.nonstream.bridge_forwards_retention, module: llm, tier: P1, subject_endpoint: chat_completions, route: openai, capability: prompt_cache_24h, streaming: nonstream, assertions: [forwards_retention], source: "main.py completion()", fail_before_fix: proven, rationale: "prompt_cache_retention on an openai/responses/ model (chat completions in, Responses out) reaches the body sent to OpenAI /v1/responses"}
- {id: llm.chat_completions.openai.service_tier.stream.echoes_served_tier, module: llm, tier: P1, subject_endpoint: chat_completions, route: openai, capability: service_tier, streaming: stream, assertions: [works], source: "litellm_core_utils/streaming_handler.py", fail_before_fix: proven, rationale: "Every relayed stream chunk carries the service_tier OpenAI stamped on it, so a streaming caller can see which tier served the request"}
- {id: llm.chat_completions.openai.thinking.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: openai, capability: thinking, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "o-series reasoning; emerging"}
- {id: llm.chat_completions.openai.structured_output.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: openai, capability: structured_output, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "response_schema extraction"}
- {id: llm.chat_completions.anthropic.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: basic, streaming: nonstream, assertions: [works], source: "proxy_server.py:8455", rationale: "P0 route translated to Anthropic"}
- {id: llm.chat_completions.anthropic.basic.stream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: basic, streaming: stream, assertions: [works], source: "proxy_server.py:8455", rationale: "Streaming translation"}
- {id: llm.chat_completions.anthropic.tool_use.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Claude tool_use; high usage"}
- {id: llm.chat_completions.anthropic.tool_use.stream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: tool_use, streaming: stream, assertions: [works], source: "model_prices json", rationale: "Streaming tool calls"}
- {id: llm.chat_completions.anthropic.vision.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: vision, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Claude vision; high usage"}
- {id: llm.chat_completions.anthropic.prompt_cache_5m.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: prompt_cache_5m, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Claude prompt caching"}
- {id: llm.chat_completions.anthropic.thinking.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: anthropic, capability: thinking, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Claude extended thinking"}
- {id: llm.chat_completions.anthropic.structured_output.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: anthropic, capability: structured_output, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Claude response_schema"}
- {id: llm.chat_completions.anthropic.mid_conversation_system.nonstream.cache_hit, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: mid_conversation_system, streaming: nonstream, assertions: [works, cache_hit], source: "llms/anthropic/chat/transformation.py", rationale: "OpenAI-format chat to first-party Anthropic: flagged Claude 4.8+/5 must keep a mid-conversation role system reminder in messages; hoisting it into the top-level system field mutates the cached prefix and re-bills the conversation at cache-write pricing (#36559)", fail_before_fix: proven}
- {id: llm.chat_completions.anthropic.mid_conversation_system.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: mid_conversation_system, streaming: nonstream, assertions: [works], source: "llms/anthropic/chat/transformation.py", rationale: "OpenAI-format chat to first-party Anthropic: Claude <= 4.7 and Haiku 4.5 reject role system inside messages, so unflagged models must convert a mid-conversation reminder to a user turn in place (hoisting collapses the prompt cache) and still answer (#36559)", fail_before_fix: proven}
- {id: llm.chat_completions.bedrock_converse.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_converse, capability: basic, streaming: nonstream, assertions: [works], source: "proxy_server.py:8455", rationale: "P0 route; Bedrock Converse unified"}
- {id: llm.chat_completions.bedrock_converse.basic.stream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_converse, capability: basic, streaming: stream, assertions: [works], source: "proxy_server.py:8455", rationale: "Streaming over Converse"}
- {id: llm.chat_completions.bedrock_converse.tool_use.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_converse, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Converse function_calling; AWS adoption"}
- {id: llm.chat_completions.bedrock_converse.vision.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_converse, capability: vision, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Bedrock vision (Anthropic/Nova)"}
- {id: llm.chat_completions.bedrock_converse.prompt_cache_5m.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: bedrock_converse, capability: prompt_cache_5m, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Anthropic-on-Bedrock caching"}
- {id: llm.chat_completions.bedrock_converse.thinking.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: bedrock_converse, capability: thinking, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Anthropic thinking on Bedrock"}
- {id: llm.chat_completions.bedrock_converse.structured_output.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: bedrock_converse, capability: structured_output, streaming: nonstream, assertions: [works], source: "llms/bedrock/chat/converse_handler.py", rationale: "Bedrock Claude accepts a Pydantic-derived response schema"}
- {id: llm.chat_completions.bedrock_converse.response_headers.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_converse, capability: response_headers, streaming: nonstream, assertions: [works], source: "llms/bedrock/chat/converse_handler.py:248", rationale: "Bedrock request ids must surface as llm_provider-* response headers on /chat/completions so callers can correlate calls with AWS-side logs (#37003)", fail_before_fix: proven}
- {id: llm.chat_completions.bedrock_converse.response_headers.stream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_converse, capability: response_headers, streaming: stream, assertions: [works], source: "llms/bedrock/chat/converse_handler.py:154", rationale: "The llm_provider-* headers must also surface on streaming /chat/completions, where CustomStreamWrapper carries them instead of the nonstream setter"}
- {id: llm.chat_completions.bedrock_converse.batch_deployment.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_converse, capability: batch_deployment, streaming: nonstream, assertions: [works], source: "types/utils.py bedrock_batch_litellm_params", rationale: "A deployment carrying the documented batch-only S3 keys (s3_access_key_id, s3_secret_access_key, s3_encryption_key_id) must still serve ordinary chat; unregistered keys fall into optional_params and are forwarded as additionalModelRequestFields, which Bedrock 400s and which puts the S3 secret in the request body and debug log (LIT-8290)", fail_before_fix: proven}
- {id: llm.chat_completions.bedrock_invoke.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_invoke, capability: basic, streaming: nonstream, assertions: [works], source: "proxy_server.py:8455", rationale: "Regional inference-profile ids (us.anthropic.*) over the invoke route, the deployment shape behind a customer timeout report on v1.90.0"}
- {id: llm.chat_completions.bedrock_invoke.basic.stream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_invoke, capability: basic, streaming: stream, assertions: [works], source: "proxy_server.py:8455", rationale: "Streaming with regional inference-profile ids over the invoke route"}
- {id: llm.chat_completions.bedrock_invoke.mid_conversation_system.nonstream.cache_hit, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_invoke, capability: mid_conversation_system, streaming: nonstream, assertions: [works, cache_hit], source: "llms/anthropic/chat/transformation.py", rationale: "OpenAI-format chat to Bedrock Invoke builds the Anthropic request through AnthropicConfig.transform_request, so flagged Claude 4.8+/5 must keep a mid-conversation role system reminder in messages; hoisting mutates the cached prefix and collapses the prompt cache (#36559)", fail_before_fix: proven}
- {id: llm.chat_completions.bedrock_invoke.mid_conversation_system.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: bedrock_invoke, capability: mid_conversation_system, streaming: nonstream, assertions: [works], source: "llms/anthropic/chat/transformation.py", rationale: "OpenAI-format chat to Bedrock Invoke: Claude <= 4.7 and Haiku 4.5 reject role system inside messages, so unflagged models must convert a mid-conversation reminder to a user turn in place (hoisting collapses the prompt cache) and still answer (#36559)", fail_before_fix: proven}
- {id: llm.chat_completions.vertex.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: vertex, capability: basic, streaming: nonstream, assertions: [works], source: "proxy_server.py:8455", rationale: "P0 route; Vertex AI"}
- {id: llm.chat_completions.gemini.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: gemini, capability: basic, streaming: nonstream, assertions: [works], source: "test_chat_completions_regression_e2e.py", rationale: "Gemini OpenAI-compatible chat translation"}
- {id: llm.chat_completions.gemini.basic.nonstream.cost_logged, module: llm, tier: P0, subject_endpoint: chat_completions, route: gemini, capability: basic, streaming: nonstream, assertions: [works, cost_logged], source: "test_chat_completions_regression_e2e.py", rationale: "Gemini chat cost lands in SpendLogs"}
- {id: llm.chat_completions.gemini.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: gemini, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_gemini_tool_call_id_length_e2e.py", rationale: "Gemini tool-call ids fit the AgentCore tool-use id shape"}
- {id: llm.chat_completions.gemini.tool_use.stream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: gemini, capability: tool_use, streaming: stream, assertions: [works], source: "llm_translation/test_gemini_tool_call_id_length_e2e.py", rationale: "Streamed Gemini tool-call ids fit the AgentCore tool-use id shape"}
- {id: llm.chat_completions.gemini.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: gemini, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_gemini_tool_call_id_length_e2e.py", rationale: "A short Gemini tool-call id still round-trips when the client drops provider fields"}
- {id: llm.chat_completions.hosted_vllm.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: hosted_vllm, capability: basic, streaming: nonstream, assertions: [works], source: "test_chat_completions_regression_e2e.py", rationale: "OpenAI-compatible hosted_vllm chat is a confirmed self-hosted backend path"}
- {id: llm.chat_completions.cohere.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: cohere, capability: basic, streaming: nonstream, assertions: [works], source: "test_chat_completions_regression_e2e.py", rationale: "Cohere chat via OpenAI-compatible /chat/completions"}

- {id: llm.chat_completions.vertex.basic.stream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: vertex, capability: basic, streaming: stream, assertions: [works], source: "proxy_server.py:8455", rationale: "Streaming over Vertex"}
- {id: llm.chat_completions.vertex.tool_use.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: vertex, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Vertex Gemini function_calling"}
- {id: llm.chat_completions.vertex.web_search.stream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: vertex, capability: web_search, streaming: stream, assertions: [works], source: "llms/vertex_ai", rationale: "Vertex Gemini streams Google Search grounding metadata"}
- {id: llm.chat_completions.vertex.vision.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: vertex, capability: vision, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Gemini vision"}
- {id: llm.chat_completions.vertex.prompt_cache_5m.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: vertex, capability: prompt_cache_5m, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Vertex Gemini prompt caching"}
- {id: llm.chat_completions.sagemaker.vision.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: sagemaker, capability: vision, streaming: nonstream, assertions: [works], source: "llms/sagemaker/nova", rationale: "SageMaker Nova accepts image input"}
- {id: llm.chat_completions.sagemaker.top_k.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: sagemaker, capability: top_k, streaming: nonstream, assertions: [works], source: "llms/sagemaker/nova", rationale: "SageMaker Nova accepts its top_k request parameter"}
- {id: llm.chat_completions.sagemaker.logprobs.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: sagemaker, capability: logprobs, streaming: nonstream, assertions: [works], source: "llms/sagemaker/nova", rationale: "SageMaker Nova returns log probability details"}
- {id: llm.chat_completions.sagemaker.thinking.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: sagemaker, capability: thinking, streaming: nonstream, assertions: [works], source: "llms/sagemaker/nova", rationale: "SageMaker Nova 2 Lite accepts reasoning effort"}
- {id: llm.chat_completions.azure_openai.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: azure_openai, capability: basic, streaming: nonstream, assertions: [works], source: "proxy_server.py:8455", rationale: "P0 route; Azure OpenAI deployments"}
- {id: llm.chat_completions.azure_openai.tool_use.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: azure_openai, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Azure OpenAI function_calling"}
- {id: llm.chat_completions.azure_foundry.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: azure_foundry, capability: basic, streaming: nonstream, assertions: [works], source: "proxy_server.py:8455", rationale: "Azure Foundry (azure_ai); newer, smoke"}
- {id: llm.chat_completions.hosted_vllm.passthrough.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: hosted_vllm, capability: basic, streaming: nonstream, assertions: [works], source: "test_vllm_passthrough_e2e.py", rationale: "OpenAI-format chat via the raw /vllm/{endpoint} passthrough (/vllm/v1/chat/completions), forwarded to a self-hosted vLLM-compatible backend (VLLM_API_BASE); LIT-4751. Batch/file passthrough is not coverable on self-hosted vLLM, which serves no OpenAI Batch API"}
- {id: llm.messages.anthropic.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: anthropic, capability: basic, streaming: nonstream, assertions: [works], source: "anthropic_endpoints/endpoints.py:64", rationale: "Core endpoint; Anthropic Messages native"}
- {id: llm.messages.anthropic.input_validation.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: anthropic, capability: input_validation, streaming: nonstream, assertions: [works], source: "vendor strategy §9.10 / LIT-4778", rationale: "Messages missing messages/max_tokens/model rejected"}
- {id: llm.messages.anthropic.basic.stream.works, module: llm, tier: P0, subject_endpoint: messages, route: anthropic, capability: basic, streaming: stream, assertions: [works], source: "anthropic_endpoints/endpoints.py:64", rationale: "Streaming Messages API"}
- {id: llm.messages.anthropic.basic.nonstream.cost_logged, module: llm, tier: P0, subject_endpoint: messages, route: anthropic, capability: basic, streaming: nonstream, assertions: [works, cost_logged], source: "anthropic_endpoints/endpoints.py:64", rationale: "Cost logged on passthrough"}
- {id: llm.messages.anthropic.tool_use.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: anthropic, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Tool calls via Messages API"}
- {id: llm.messages.anthropic.tool_use.stream.works, module: llm, tier: P0, subject_endpoint: messages, route: anthropic, capability: tool_use, streaming: stream, assertions: [works], source: "model_prices json", rationale: "Streaming tool calls"}
- {id: llm.messages.anthropic.vision.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: anthropic, capability: vision, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Vision via Messages API"}
- {id: llm.messages.anthropic.prompt_cache_5m.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: anthropic, capability: prompt_cache_5m, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Prompt caching via Messages API"}
- {id: llm.messages.anthropic.thinking.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: anthropic, capability: thinking, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Extended thinking via Messages API"}
- {id: llm.messages.bedrock_converse.basic.nonstream.works_for_kimi_k3_max_tokens_1, module: llm, tier: P0, subject_endpoint: messages, route: bedrock_converse, capability: basic, streaming: nonstream, assertions: [works_for_kimi_k3_max_tokens_1], source: "llm_translation/test_bedrock_kimi_k3_messages_e2e.py", rationale: "Bedrock Converse accepts max_tokens=1 on the Anthropic Messages surface after LiteLLM applies the model minimum", fail_before_fix: proven}
- {id: llm.messages.bedrock_invoke.mid_conversation_system.nonstream.cache_hit, module: llm, tier: P0, subject_endpoint: messages, route: bedrock_invoke, capability: mid_conversation_system, streaming: nonstream, assertions: [works, cache_hit], source: "llms/bedrock/messages/invoke_transformations/anthropic_claude_transformation.py", rationale: "Flagged Claude 4.8+/5 must keep mid-conversation system reminders in messages; hoisting mutates the system prefix and collapses the prompt cache (#32578/#32831/#32882)", fail_before_fix: proven}
- {id: llm.messages.bedrock_invoke.mid_conversation_system.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: bedrock_invoke, capability: mid_conversation_system, streaming: nonstream, assertions: [works], source: "llms/bedrock/messages/invoke_transformations/anthropic_claude_transformation.py", rationale: "Claude <= 4.7 rejects role system inside messages; unflagged models must convert reminders to user turns in place (hoisting collapses the prompt cache) or every Claude Code session 400s (#32831)", fail_before_fix: proven}
- {id: llm.messages.bedrock_invoke.web_search_server_tool.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: bedrock_invoke, capability: web_search_server_tool, streaming: nonstream, assertions: [works], source: "llms/bedrock/messages/invoke_transformations/anthropic_claude_transformation.py", rationale: "Bedrock hosts no web_search server tool, so this only works because interception rewrites it before the upstream call and the agentic loop feeds the results back in native shape; a regression that short-circuits or forwards it instead yields raw text or AWS's 400", fail_before_fix: unproven}
- {id: llm.messages.azure_foundry.mid_conversation_system.nonstream.cache_hit, module: llm, tier: P0, subject_endpoint: messages, route: azure_foundry, capability: mid_conversation_system, streaming: nonstream, assertions: [works, cache_hit], source: "llms/azure_ai/anthropic/messages_transformation.py", rationale: "Azure Foundry serves Claude on the native Anthropic contract, so flagged 4.8+/5 must keep mid-conversation system reminders in messages; hoisting mutates the system prefix and collapses the prompt cache (customer RCA gap)", fail_before_fix: proven}
- {id: llm.messages.azure_foundry.mid_conversation_system.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: azure_foundry, capability: mid_conversation_system, streaming: nonstream, assertions: [works], source: "llms/azure_ai/anthropic/messages_transformation.py", rationale: "Azure Foundry Claude <= 4.7 rejects role system inside messages; unflagged models must convert reminders to user turns in place (hoisting collapses the prompt cache) or every Claude Code session 400s (customer RCA gap)", fail_before_fix: proven}
- {id: llm.messages.vertex.mid_conversation_system.nonstream.cache_hit, module: llm, tier: P0, subject_endpoint: messages, route: vertex, capability: mid_conversation_system, streaming: nonstream, assertions: [works, cache_hit], source: "llms/vertex_ai/vertex_ai_partner_models/anthropic/messages/transformation.py", rationale: "Vertex serves Claude on the native Anthropic contract, so flagged 4.8+/5 must keep mid-conversation system reminders in messages; hoisting mutates the system prefix and collapses the prompt cache (customer RCA gap)", fail_before_fix: proven}
- {id: llm.messages.vertex.mid_conversation_system.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: vertex, capability: mid_conversation_system, streaming: nonstream, assertions: [works], source: "llms/vertex_ai/vertex_ai_partner_models/anthropic/messages/transformation.py", rationale: "Vertex Claude <= 4.7 rejects role system inside messages; unflagged models must convert reminders to user turns in place (hoisting collapses the prompt cache) or every Claude Code session 400s (customer RCA gap)", fail_before_fix: proven}
- {id: llm.responses.openai.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: responses, route: openai, capability: basic, streaming: nonstream, assertions: [works], source: "response_api_endpoints/endpoints.py:26", rationale: "Core endpoint; OpenAI Responses native"}
- {id: llm.responses.openai.input_validation.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: openai, capability: input_validation, streaming: nonstream, assertions: [works], source: "vendor strategy §9.9 / LIT-4778", rationale: "Responses missing/empty input and missing model are rejected"}
- {id: llm.responses.openai.basic.stream.works, module: llm, tier: P0, subject_endpoint: responses, route: openai, capability: basic, streaming: stream, assertions: [works], source: "response_api_endpoints/endpoints.py:26", rationale: "Streaming via /v1/responses"}
- {id: llm.responses.openai.basic.nonstream.cost_logged, module: llm, tier: P0, subject_endpoint: responses, route: openai, capability: basic, streaming: nonstream, assertions: [works, cost_logged], source: "response_api_endpoints/endpoints.py:26", rationale: "Cost logged on responses"}
- {id: llm.responses.openai.passthrough.stream.cost_logged, module: llm, tier: P0, subject_endpoint: responses, route: openai, capability: basic, streaming: stream, assertions: [cost_logged], source: "test_passthrough_e2e.py", rationale: "A streamed POST /openai_passthrough/v1/responses is costed and keyed by the provider response id; it used to log a zero-cost row under a random id (GitHub issue #36523)"}
- {id: llm.responses.openai.passthrough_websocket.stream.works, module: llm, tier: P1, subject_endpoint: responses, route: openai, capability: basic, streaming: stream, assertions: [works], fail_before_fix: proven, source: "test_passthrough_e2e.py", rationale: "A websocket upgrade on /openai/v1/responses is accepted, so a responses.connect client reaches OpenAI through the same prefix its HTTP traffic uses; the prefix carried no websocket route and refused the upgrade with a 403 (GitHub issue #36088)"}
- {id: llm.responses.openai.tool_use.nonstream.works, module: llm, tier: P0, subject_endpoint: responses, route: openai, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Tool calls via Responses API"}
- {id: llm.responses.openai.vision.nonstream.works, module: llm, tier: P0, subject_endpoint: responses, route: openai, capability: vision, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Vision via Responses API"}
- {id: llm.responses.anthropic.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: anthropic, capability: basic, streaming: nonstream, assertions: [works], source: "response_api_endpoints/endpoints.py:26", rationale: "Responses w/ Anthropic translation (smoke)"}
- {id: llm.responses.anthropic.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: anthropic, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Responses tool calls w/ Anthropic"}
- {id: llm.responses.bedrock_converse.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: bedrock_converse, capability: basic, streaming: nonstream, assertions: [works], source: "response_api_endpoints/endpoints.py:26", rationale: "Responses w/ Bedrock Converse (smoke)"}
- {id: llm.responses.bedrock_converse.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: bedrock_converse, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Responses tool calls w/ Converse"}
- {id: llm.responses.vertex.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: vertex, capability: basic, streaming: nonstream, assertions: [works], source: "response_api_endpoints/endpoints.py:26", rationale: "Responses w/ Vertex (smoke)"}
- {id: llm.responses.vertex.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: vertex, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Responses tool calls w/ Vertex"}
- {id: llm.responses.azure_openai.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: azure_openai, capability: basic, streaming: nonstream, assertions: [works], source: "response_api_endpoints/endpoints.py:26", rationale: "Responses w/ Azure OpenAI (smoke)"}
- {id: llm.responses.azure_openai.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: azure_openai, capability: tool_use, streaming: nonstream, assertions: [works], source: "model_prices json", rationale: "Responses tool calls w/ Azure OpenAI"}
- {id: llm.responses.azure_openai.code_interpreter.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: azure_openai, capability: code_interpreter, streaming: nonstream, assertions: [works], source: "llm_translation/test_containers_e2e.py", rationale: "An implicit code_interpreter container on an Azure deployment that carries its own api_base must serve GET /v1/containers/{id}/files/{fid}/content by its native cntr_ id to a team service-account key, the customer's shape (#27921, #28990)", fail_before_fix: proven}
- {id: llm.responses.azure_openai.code_interpreter.stream.works, module: llm, tier: P1, subject_endpoint: responses, route: azure_openai, capability: code_interpreter, streaming: stream, assertions: [works], source: "llm_translation/test_containers_e2e.py", rationale: "A container created by a streamed /v1/responses code_interpreter call must serve /v1/containers/{id}/files to the same service-account key right after the OpenAI SDK closes at [DONE]; the ownership row used to be written after the stream and the disconnect cancelled it (LIT-8612)", fail_before_fix: proven}
- {id: llm.chat_completions.together_ai.thinking.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: thinking, streaming: nonstream, assertions: [works], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together reasoning surfaces as reasoning_content (LIT-5960)"}
- {id: llm.chat_completions.together_ai.thinking.stream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: thinking, streaming: stream, assertions: [works], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together reasoning deltas stream as reasoning_content"}
- {id: llm.chat_completions.together_ai.thinking.nonstream.template_kwargs_forwarded, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: thinking, streaming: nonstream, assertions: [template_kwargs_forwarded], source: "llm_translation/test_together_ai_e2e.py", rationale: "chat_template_kwargs reaches Together and turns thinking off"}
- {id: llm.chat_completions.together_ai.thinking.nonstream.replayed_reasoning_forwarded, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: thinking, streaming: nonstream, assertions: [replayed_reasoning_forwarded], source: "llm_translation/test_together_ai_e2e.py", rationale: "Replayed reasoning_content survives the Together message transform"}
- {id: llm.chat_completions.together_ai.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together tool calls are not dropped"}
- {id: llm.chat_completions.together_ai.tool_use.stream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: tool_use, streaming: stream, assertions: [works], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together tool calls over streaming"}
- {id: llm.chat_completions.together_ai.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together tool result round trip"}
- {id: llm.chat_completions.together_ai.basic.nonstream.cost_logged, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: basic, streaming: nonstream, assertions: [cost_logged], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together cost header and spend row match the registry price"}
- {id: llm.chat_completions.together_ai.thinking.nonstream.effort_none_disables, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: thinking, streaming: nonstream, assertions: [effort_none_disables], source: "llm_translation/test_together_ai_e2e.py", rationale: "reasoning_effort=none maps to Together's reasoning disable toggle on hybrid models"}
- {id: llm.chat_completions.together_ai.structured_output.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: structured_output, streaming: nonstream, assertions: [works], source: "llm_translation/test_together_ai_e2e.py", rationale: "response_format json_schema reaches Together and constrains the reply"}
- {id: llm.chat_completions.together_ai.prompt_cache_5m.nonstream.cost_logged, module: llm, tier: P1, subject_endpoint: chat_completions, route: together_ai, capability: prompt_cache_5m, streaming: nonstream, assertions: [cache_hit, cost_logged], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together prefix-cache reads bill at cache_read_input_token_cost, not full input price"}
- {id: llm.messages.together_ai.basic.stream.works, module: llm, tier: P1, subject_endpoint: messages, route: together_ai, capability: basic, streaming: stream, assertions: [works], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together over /v1/messages streaming"}
- {id: llm.messages.together_ai.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: together_ai, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together tool calls over /v1/messages"}
- {id: llm.messages.together_ai.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: together_ai, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_together_ai_e2e.py", rationale: "Together tool result round trip over /v1/messages"}
- {id: llm.chat_completions.ollama_chat.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama_chat, capability: basic, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /chat/completions returns text and usage"}
- {id: llm.chat_completions.ollama_chat.basic.stream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama_chat, capability: basic, streaming: stream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /chat/completions streams text deltas, usage and a terminal event"}
- {id: llm.chat_completions.ollama_chat.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama_chat, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /chat/completions returns one addressable get_weather call"}
- {id: llm.chat_completions.ollama_chat.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama_chat, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /chat/completions tool result round trip reaches the model"}
- {id: llm.chat_completions.ollama_chat.tool_use.stream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama_chat, capability: tool_use, streaming: stream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) streams the call as tool_call deltas ending in finish_reason tool_calls, the shape coding agents like OpenCode execute"}
- {id: llm.messages.ollama_chat.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: ollama_chat, capability: basic, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /v1/messages returns text and usage"}
- {id: llm.messages.ollama_chat.basic.stream.works, module: llm, tier: P1, subject_endpoint: messages, route: ollama_chat, capability: basic, streaming: stream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /v1/messages streams text deltas, usage and a terminal event"}
- {id: llm.messages.ollama_chat.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: ollama_chat, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /v1/messages returns one addressable get_weather call"}
- {id: llm.messages.ollama_chat.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: ollama_chat, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /v1/messages tool result round trip reaches the model"}
- {id: llm.responses.ollama_chat.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: ollama_chat, capability: basic, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /v1/responses returns text and usage"}
- {id: llm.responses.ollama_chat.basic.stream.works, module: llm, tier: P1, subject_endpoint: responses, route: ollama_chat, capability: basic, streaming: stream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /v1/responses streams text deltas, usage and a terminal event"}
- {id: llm.responses.ollama_chat.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: ollama_chat, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /v1/responses returns one addressable get_weather call"}
- {id: llm.responses.ollama_chat.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: ollama_chat, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/chat (native tools) over /v1/responses tool result round trip reaches the model"}
- {id: llm.chat_completions.ollama.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama, capability: basic, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /chat/completions returns text and usage"}
- {id: llm.chat_completions.ollama.basic.stream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama, capability: basic, streaming: stream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /chat/completions streams text deltas, usage and a terminal event"}
- {id: llm.chat_completions.ollama.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /chat/completions returns one addressable get_weather call"}
- {id: llm.chat_completions.ollama.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /chat/completions tool result round trip reaches the model"}
- {id: llm.chat_completions.ollama.tool_use.stream.works, module: llm, tier: P1, subject_endpoint: chat_completions, route: ollama, capability: tool_use, streaming: stream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) streams the call as tool_call deltas ending in finish_reason tool_calls, the shape coding agents like OpenCode execute; prompt-based JSON used to arrive as plain text with finish_reason stop (GitHub issue #35711)"}
- {id: llm.messages.ollama.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: ollama, capability: basic, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /v1/messages returns text and usage"}
- {id: llm.messages.ollama.basic.stream.works, module: llm, tier: P1, subject_endpoint: messages, route: ollama, capability: basic, streaming: stream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /v1/messages streams text deltas, usage and a terminal event"}
- {id: llm.messages.ollama.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: ollama, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /v1/messages returns one addressable get_weather call"}
- {id: llm.messages.ollama.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: ollama, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /v1/messages tool result round trip reaches the model"}
- {id: llm.responses.ollama.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: ollama, capability: basic, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /v1/responses returns text and usage"}
- {id: llm.responses.ollama.basic.stream.works, module: llm, tier: P1, subject_endpoint: responses, route: ollama, capability: basic, streaming: stream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /v1/responses streams text deltas, usage and a terminal event"}
- {id: llm.responses.ollama.tool_use.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: ollama, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /v1/responses returns one addressable get_weather call"}
- {id: llm.responses.ollama.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: ollama, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_ollama_e2e.py", rationale: "Ollama /api/generate (prompt-based tools) over /v1/responses tool result round trip reaches the model"}
- {id: llm.chat_completions.sail.service_tier.nonstream.cost_logged, module: llm, tier: P1, subject_endpoint: chat_completions, route: sail, capability: service_tier, streaming: nonstream, assertions: [cost_logged], source: "llm_translation/test_sail_e2e.py", rationale: "service_tier balanced and auto map to Sail completion windows and bill the matching price columns; Sail serves flex only to background responses and Batch"}
- {id: llm.chat_completions.sail.service_tier.nonstream.rejects_unknown_tier, module: llm, tier: P1, subject_endpoint: chat_completions, route: sail, capability: service_tier, streaming: nonstream, assertions: [rejects_unknown_tier], source: "llm_translation/test_sail_e2e.py", rationale: "A service_tier Sail has no completion window for is a 400 without drop_params"}
- {id: llm.chat_completions.sail.service_tier.nonstream.drops_unknown_tier_and_bills_asap, module: llm, tier: P1, subject_endpoint: chat_completions, route: sail, capability: service_tier, streaming: nonstream, assertions: [drops_unknown_tier_and_bills_asap], source: "llm_translation/test_sail_e2e.py", rationale: "An unknown service_tier under drop_params is dropped and billed at asap in both the cost header and spend log"}
- {id: llm.responses.sail.service_tier.nonstream.cost_logged, module: llm, tier: P1, subject_endpoint: responses, route: sail, capability: service_tier, streaming: nonstream, assertions: [cost_logged], source: "llm_translation/test_sail_e2e.py", rationale: "A caller metadata.completion_window of balanced on /v1/responses bills Sail balanced rates"}
- {id: llm.messages.sail.basic.nonstream.works, module: llm, tier: P1, subject_endpoint: messages, route: sail, capability: basic, streaming: nonstream, assertions: [works], source: "llm_translation/test_sail_e2e.py", rationale: "Sail over /v1/messages"}
- {id: llm.chat_completions.anthropic.basic.nonstream.cost_logged, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: basic, streaming: nonstream, assertions: [works, cost_logged], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "Anthropic over /chat/completions: cost header and spend row agree"}
- {id: llm.chat_completions.anthropic.multi_turn.nonstream.works, module: llm, tier: P0, subject_endpoint: chat_completions, route: anthropic, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "Anthropic tool result round trip over /chat/completions"}
- {id: llm.messages.anthropic.multi_turn.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: anthropic, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "Anthropic tool result round trip over /v1/messages"}
- {id: llm.messages.anthropic.upstream_stream_failure.stream.error_event, module: llm, tier: P1, subject_endpoint: messages, route: anthropic, capability: upstream_stream_failure, streaming: stream, assertions: [error_event], source: "customer report", rationale: "An upstream that hangs up mid-stream must reach Anthropic clients as an event: error frame, not an OpenAI-shaped data-only error they silently drop"}
- {id: llm.messages.anthropic.upstream_stream_failure.stream.error_status, module: llm, tier: P1, subject_endpoint: messages, route: anthropic, capability: upstream_stream_failure, streaming: stream, assertions: [error_status], source: "customer report", rationale: "An upstream that hangs up before its first byte must answer as a JSON error carrying its status, so Anthropic clients raise the status-specific error and retry on it instead of reading a 200 stream that only carries an error event"}
- {id: llm.messages.openai.basic.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: openai, capability: basic, streaming: nonstream, assertions: [works], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "OpenAI models served on the Anthropic Messages contract"}
- {id: llm.messages.openai.basic.stream.works, module: llm, tier: P0, subject_endpoint: messages, route: openai, capability: basic, streaming: stream, assertions: [works], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "OpenAI over /v1/messages streams the Anthropic event grammar"}
- {id: llm.messages.openai.basic.nonstream.cost_logged, module: llm, tier: P0, subject_endpoint: messages, route: openai, capability: basic, streaming: nonstream, assertions: [works, cost_logged], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "OpenAI over /v1/messages: cost header and spend row agree"}
- {id: llm.messages.openai.tool_use.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: openai, capability: tool_use, streaming: nonstream, assertions: [works], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "OpenAI tool calls translated to Anthropic tool_use blocks"}
- {id: llm.messages.openai.multi_turn.nonstream.works, module: llm, tier: P0, subject_endpoint: messages, route: openai, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "OpenAI tool result round trip over /v1/messages"}
- {id: llm.responses.openai.multi_turn.nonstream.works, module: llm, tier: P0, subject_endpoint: responses, route: openai, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "OpenAI function_call_output round trip over /v1/responses"}
- {id: llm.responses.anthropic.basic.stream.works, module: llm, tier: P1, subject_endpoint: responses, route: anthropic, capability: basic, streaming: stream, assertions: [works], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "Anthropic over /v1/responses streams Responses events"}
- {id: llm.responses.anthropic.basic.nonstream.cost_logged, module: llm, tier: P1, subject_endpoint: responses, route: anthropic, capability: basic, streaming: nonstream, assertions: [works, cost_logged], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "Anthropic over /v1/responses: cost header and spend row agree"}
- {id: llm.responses.anthropic.multi_turn.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: anthropic, capability: multi_turn, streaming: nonstream, assertions: [works], source: "llm_translation/test_conversational_matrix_e2e.py", rationale: "Anthropic function_call_output round trip over /v1/responses"}
- {id: llm.responses.anthropic.tool_search.nonstream.works, module: llm, tier: P1, subject_endpoint: responses, route: anthropic, capability: tool_search, streaming: nonstream, assertions: [works], source: "llm_translation/test_responses_codex_tool_search_e2e.py", rationale: "Codex client tool_search over /v1/responses finds and loads a deferred tool on Claude"}