requests_expected_differences.json

{
  "global": [
    {
      "source": "*",
      "target": "*",
      "fields": [
        { "pattern": "params.service_tier", "reason": "OpenAI-specific billing tier not universal across providers" },
        { "pattern": "messages[*].id", "reason": "Message/response IDs are provider-specific (OpenAI uses response-level IDs, Anthropic uses message-level IDs, Bedrock has none)" },
        { "pattern": "params.reasoning.canonical", "reason": "Metadata indicating source format (effort vs budget_tokens) - changes when converting between providers with different canonical representations" }
      ]
    },
    {
      "source": "*",
      "target": "Anthropic",
      "fields": [
        { "pattern": "params.reasoning.summary", "reason": "Anthropic doesn't support reasoning summary" },
        { "pattern": "params.response_format.format_type", "reason": "Anthropic converts json_object to json_schema" },
        { "pattern": "params.response_format.json_schema.name", "reason": "Anthropic rejects 'name' field" },
        { "pattern": "params.response_format.json_schema.strict", "reason": "Anthropic rejects 'strict' field" },
        { "pattern": "params.response_format.json_schema", "reason": "Anthropic uses different json_schema format" },
        { "pattern": "params.response_format", "reason": "Anthropic doesn't support Text format type" },
        { "pattern": "params.metadata", "reason": "Anthropic only accepts user_id in metadata" },
        { "pattern": "params.parallel_tool_calls", "reason": "Anthropic only supports disable_parallel via tool_choice" },
        { "pattern": "params.tool_choice", "reason": "Anthropic requires tool_choice to express disable_parallel_tool_use" },
        { "pattern": "params.logprobs", "reason": "Anthropic doesn't support logprobs (silently dropped)" },
        { "pattern": "params.top_logprobs", "reason": "Anthropic doesn't support top_logprobs (silently dropped)" },
        { "pattern": "params.frequency_penalty", "reason": "Anthropic doesn't support frequency_penalty (silently dropped)" },
        { "pattern": "params.presence_penalty", "reason": "Anthropic doesn't support presence_penalty (silently dropped)" },
        { "pattern": "params.seed", "reason": "Anthropic doesn't support seed (silently dropped)" },
        { "pattern": "params.store", "reason": "Anthropic doesn't support store (silently dropped)" },
        { "pattern": "params.temperature", "reason": "Anthropic drops temperature when extended thinking is enabled" },
        { "pattern": "params.reasoning.effort", "reason": "Cross-canonical conversion (effort→budget_tokens) may quantize when max_tokens is very small" }
      ]
    },
    {
      "source": "*",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.reasoning.summary", "reason": "ChatCompletions doesn't support reasoning summary" },
        { "pattern": "params.top_k", "reason": "ChatCompletions doesn't support top_k (silently dropped)" }
      ],
      "errors": [
        { "pattern": "is not supported by OpenAI Chat Completions", "reason": "Provider-specific built-in tool has no OpenAI equivalent" },
        { "pattern": "is not supported by openai", "reason": "Provider-specific built-in tool has no OpenAI equivalent" },
        { "pattern": "Unsupported input type: UserContentPart variant: File", "reason": "Anthropic document blocks not supported in OpenAI" },
        { "pattern": "UserContentPart::File", "reason": "OpenAI doesn't support File content parts" },
        { "pattern": "AssistantContentPart::File", "reason": "OpenAI doesn't support File content in assistant messages" }
      ]
    },
    {
      "source": "ChatCompletions",
      "target": "*",
      "fields": [
        { "pattern": "messages[*].refusal", "reason": "ChatCompletions refusal field has no equivalent in other providers" },
        { "pattern": "messages[*].annotations", "reason": "ChatCompletions annotations field has no equivalent in other providers" }
      ]
    },
    {
      "source": "*",
      "target": "Responses",
      "fields": [
        { "pattern": "params.top_k", "reason": "Responses API doesn't support top_k (silently dropped)" },
        { "pattern": "params.stop", "reason": "Responses API doesn't support stop sequences (silently dropped)" },
        { "pattern": "messages[*].content[*].cache_control", "reason": "Responses requests do not support Anthropic-style content-block cache_control metadata" }
      ],
      "errors": [
        { "pattern": "is not supported by OpenAI Responses API", "reason": "Provider-specific built-in tool has no OpenAI equivalent" },
        { "pattern": "is not supported by responses", "reason": "Provider-specific built-in tool has no OpenAI equivalent" },
        { "pattern": "Unsupported input type: UserContentPart variant: File", "reason": "Anthropic document blocks not supported in OpenAI" },
        { "pattern": "UserContentPart::File", "reason": "OpenAI doesn't support File content parts" },
        { "pattern": "AssistantContentPart::File", "reason": "OpenAI doesn't support File content in assistant messages" },
        { "pattern": "ToolResult { tool_name: \"web_search\"", "reason": "Anthropic web_search encrypted results cannot be transformed to OpenAI" }
      ]
    },
    {
      "source": "ChatCompletions",
      "target": "Responses",
      "fields": [
        { "pattern": "params.frequency_penalty", "reason": "Responses API doesn't support frequency_penalty" },
        { "pattern": "params.presence_penalty", "reason": "Responses API doesn't support presence_penalty" },
        { "pattern": "params.seed", "reason": "Responses API doesn't support seed" },
        { "pattern": "params.logprobs", "reason": "Responses API doesn't support logprobs boolean (use top_logprobs)" }
      ]
    },
    {
      "source": "Anthropic",
      "target": "Responses",
      "fields": [
        { "pattern": "params.reasoning.budget_tokens", "reason": "OpenAI uses effort levels, budget_tokens gets quantized" },
        { "pattern": "params.tools", "reason": "Anthropic built-in tools are provider-specific; bash is not a lossless equivalent of OpenAI Responses code_interpreter" },
        { "pattern": "messages.length", "reason": "Responses API expands tool messages to separate function_call_output items" },
        { "pattern": "messages[*].content[*].provider_options", "reason": "Anthropic provider-specific content metadata is not preserved by OpenAI Responses requests" }
      ]
    },
    {
      "source": "Anthropic",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.reasoning.budget_tokens", "reason": "OpenAI uses effort levels, budget_tokens gets quantized" },
        { "pattern": "params.tools", "reason": "Anthropic built-in tools are provider-specific; bash is not supported by OpenAI Chat Completions" },
        { "pattern": "messages[*].content[*].provider_options", "reason": "Anthropic per-block cache_control metadata has no OpenAI request equivalent" }
      ]
    },
    {
      "source": "*",
      "target": "Bedrock",
      "fields": [
        { "pattern": "params.temperature", "reason": "Bedrock requires temperature=1.0 for extended thinking" },
        { "pattern": "params.stream", "reason": "Bedrock uses endpoint-based streaming" },
        { "pattern": "params.metadata", "reason": "Bedrock doesn't support metadata" },
        { "pattern": "params.reasoning.effort", "reason": "Cross-canonical conversion (effort→budget_tokens) may quantize when max_tokens is very small" },
        { "pattern": "params.reasoning.summary", "reason": "Bedrock doesn't support reasoning summary" }
      ]
    },
    {
      "source": "*",
      "target": "Bedrock Anthropic",
      "fields": [
        { "pattern": "model", "reason": "Bedrock Anthropic invoke body omits model (selected by URL path)" },
        { "pattern": "params.stream", "reason": "Bedrock Anthropic uses endpoint-based streaming" }
      ]
    },
    {
      "source": "*",
      "target": "Vertex Anthropic",
      "fields": [
        { "pattern": "model", "reason": "Vertex Anthropic rawPredict body omits model (selected by URL path)" },
        { "pattern": "params.stream", "reason": "Vertex Anthropic uses endpoint-based streaming" }
      ]
    },
    {
      "source": "*",
      "target": "Google",
      "fields": [
        { "pattern": "params.stream", "reason": "Google uses endpoint-based streaming" },
        { "pattern": "params.metadata", "reason": "Google doesn't support metadata" },
        { "pattern": "params.reasoning.effort", "reason": "Cross-canonical conversion (effort→budget_tokens) may quantize when max_tokens is very small" },
        { "pattern": "params.reasoning.summary", "reason": "Google doesn't support reasoning summary" },
        { "pattern": "params.parallel_tool_calls", "reason": "Google doesn't support parallel_tool_calls parameter" },
        { "pattern": "params.store", "reason": "Google doesn't support store parameter" },
        { "pattern": "messages[*].content[*].cache_control", "reason": "Google requests do not support Anthropic-style content-block cache_control metadata" },
        { "pattern": "params.frequency_penalty", "reason": "Google doesn't support frequency_penalty" },
        { "pattern": "params.presence_penalty", "reason": "Google doesn't support presence_penalty" },
        { "pattern": "params.seed", "reason": "Google doesn't support seed" },
        { "pattern": "params.logprobs", "reason": "Google doesn't support logprobs" },
        { "pattern": "params.top_logprobs", "reason": "Google doesn't support top_logprobs" },
        { "pattern": "params.tools[*].strict", "reason": "Google doesn't support strict mode for tools" },
        { "pattern": "messages[*].content[*].output", "reason": "Google wraps string tool result output in an object ({\"output\": ...})" },
        { "pattern": "params.temperature", "reason": "Google uses f32 for temperature, causing precision loss (0.7 → 0.699999988079071)" },
        { "pattern": "params.top_p", "reason": "Google uses f32 for top_p, causing precision loss (0.9 → 0.8999999761581421)" },
        { "pattern": "messages[*].content[*].media_type", "reason": "Google requires mime_type for images; null defaults to image/jpeg" },
        { "pattern": "messages[*].content[*].provider_options", "reason": "Google doesn't support provider_options on content parts" },
        { "pattern": "messages.length", "reason": "Google moves system messages to systemInstruction and merges consecutive same-role messages" },
        { "pattern": "messages[*].content[*].tool_name", "reason": "Google requires functionResponse.name; tool names are populated from preceding tool calls when not present in source format (ChatCompletions and Anthropic tool results don't carry tool names)" },
        { "pattern": "messages[*].content[*].tool_call_id", "reason": "Google doesn't preserve tool call IDs; synthetic positional IDs are generated on re-parse" }
      ],
      "errors": [
        { "pattern": "is not supported by Google", "reason": "Provider-specific built-in tool has no Google equivalent" }
      ]
    },
    {
      "source": "Responses",
      "target": "Google",
      "fields": [
        { "pattern": "params.tools", "reason": "OpenAI built-in tools (code_interpreter, web_search) not supported in Google" }
      ]
    },
    {
      "source": "Anthropic",
      "target": "Google",
      "fields": [
        { "pattern": "params.tools", "reason": "Anthropic built-in tools (bash, text_editor, web_search) not supported in Google" },
        { "pattern": "params.reasoning.budget_tokens", "reason": "Cross-canonical conversion (budget_tokens→effort→thinkingBudget) derives budget from effort level" }
      ]
    },
    {
      "source": "Google",
      "target": "*",
      "fields": [
        { "pattern": "messages[*].content[*].encrypted_content", "reason": "Google thoughtSignature doesn't roundtrip through other providers" }
      ]
    },
    {
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "messages[*].content[*].tool_name", "reason": "ChatCompletions tool messages don't include tool_name, only tool_call_id" }
      ]
    },
    {
      "source": "Google",
      "target": "Anthropic",
      "fields": [
        { "pattern": "messages[*].content[*].tool_name", "reason": "Anthropic tool_result doesn't include tool name, only tool_use_id" }
      ]
    }
  ],
  "perTestCase": [
    {
      "testCase": "googleThinkingJsonSchemaParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Responses-compatible JSON schema normalization adds additionalProperties when converting Google responseJsonSchema" },
        { "pattern": "messages.length", "reason": "Responses request format expands Google followup content into separate input items" }
      ]
    },
    {
      "testCase": "googleThinkingJsonSchemaParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "ChatCompletions-compatible JSON schema normalization adds additionalProperties when converting Google responseJsonSchema" }
      ]
    },
    {
      "testCase": "responsesToolSearchInputParam",
      "source": "Responses",
      "target": "*",
      "fields": [
        { "pattern": "messages[*].content[*].tool_name", "reason": "Tool result names are not represented by ChatCompletions, Anthropic, or Bedrock tool result wire formats; those formats identify results by tool_call_id/tool_use_id only" },
        { "pattern": "messages[*].content[*].status", "reason": "Anthropic tool search transcript blocks do not preserve OpenAI Responses status metadata" },
        { "pattern": "messages[*].content[*].execution", "reason": "Anthropic tool search transcript blocks do not preserve OpenAI Responses execution metadata" },
        { "pattern": "messages[*].content[*].tools[*].tool", "reason": "Anthropic tool_search_tool_result carries tool_reference names; full deferred tool definitions are provided at top-level tools instead" },
        { "pattern": "messages[*].content[*].provider_options", "reason": "Provider-specific tool call metadata is not preserved through Anthropic tool search transcript blocks" },
        { "pattern": "messages[*].content[*].discovery_tool_name", "reason": "Anthropic requires concrete tool search tool names such as tool_search_tool_regex instead of OpenAI's generic tool_search" },
        { "pattern": "messages[*].content[*].tool_call_id", "reason": "Anthropic requires tool search call IDs to use the srvtoolu_ prefix" },
        { "pattern": "params.tools", "reason": "Anthropic requires discovered deferred tools and the tool search builtin in top-level tools for tool_reference replay" }
      ]
    },
    {
      "testCase": "responsesToolSearchInputParam",
      "source": "Anthropic",
      "target": "Responses",
      "fields": [
        { "pattern": "messages[*].content[*].tools[*].tool", "reason": "Anthropic tool_search_tool_result carries tool_reference names; Responses replay attaches recovered deferred tool definitions from top-level tools" },
        { "pattern": "messages[*].content[*].discovery_tool_name", "reason": "Anthropic uses concrete tool search names such as tool_search_tool_regex; Responses uses generic tool_search" }
      ]
    },
    {
      "testCase": "responsesToolSearchInputParam",
      "source": "Responses",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "messages[*].content[*].type", "reason": "ChatCompletions has no tool-discovery types, so tool_discovery_call/tool_discovery_result project to generic tool_call/tool_result and cannot be re-tagged as discovery on reparse" },
        { "pattern": "messages[*].content[*].tools", "reason": "ChatCompletions tool results carry no structured tools list; discovered tools are serialized into the tool message content/output instead" },
        { "pattern": "messages[*].content[*].output", "reason": "The discovery result payload is serialized into the ChatCompletions tool message output string" },
        { "pattern": "messages[*].content[*].arguments", "reason": "ChatCompletions tool-call arguments round-trip as a JSON string wrapped in the universal valid/invalid arguments envelope" }
      ]
    },
    {
      "testCase": "responsesToolSearchInputParam",
      "source": "Anthropic",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "messages[*].content[*].type", "reason": "ChatCompletions has no tool-discovery types, so tool_discovery_call/tool_discovery_result project to generic tool_call/tool_result and cannot be re-tagged as discovery on reparse" },
        { "pattern": "messages[*].content[*].tools", "reason": "ChatCompletions tool results carry no structured tools list; discovered tools are serialized into the tool message content/output instead" },
        { "pattern": "messages[*].content[*].output", "reason": "The discovery result payload is serialized into the ChatCompletions tool message output string" },
        { "pattern": "messages[*].content[*].arguments", "reason": "ChatCompletions tool-call arguments round-trip as a JSON string wrapped in the universal valid/invalid arguments envelope" },
        { "pattern": "messages[*].content[*].discovery_tool_name", "reason": "ChatCompletions identifies the discovery call by its function name (tool_name); discovery_tool_name is not preserved as a separate field" },
        { "pattern": "messages[*].content[*].tool_name", "reason": "Discovery call/result names round-trip as the ChatCompletions function/tool name" }
      ]
    },
    {
      "testCase": "responsesToolSearchInputParam",
      "source": "Responses",
      "target": "Bedrock",
      "fields": [
        { "pattern": "messages[*].content[*].output", "reason": "Bedrock Converse tool results serialize structured JSON output as a JSON string" }
      ]
    },
    {
      "testCase": "imageContentParam",
      "source": "*",
      "target": "Anthropic",
      "skip": true,
      "reason": "Anthropic assistant messages don't support image content"
    },
    {
      "testCase": "documentContentParam",
      "source": "*",
      "target": "Anthropic",
      "skip": true,
      "reason": "Anthropic assistant messages don't support document content"
    },
    {
      "testCase": "multimodalRequest",
      "source": "*",
      "target": "Anthropic",
      "skip": true,
      "reason": "Anthropic assistant messages don't support image content"
    },
    {
      "testCase": "codeInterpreterToolParam",
      "source": "Responses",
      "target": "Anthropic",
      "skip": true,
      "reason": "OpenAI Responses code_interpreter is provider-specific and is not a lossless equivalent of Anthropic bash"
    },
    {
      "testCase": "webSearchToolParam",
      "source": "Responses",
      "target": "Anthropic",
      "skip": true,
      "reason": "OpenAI web_search_preview tool has no Anthropic equivalent"
    },
    {
      "testCase": "multimodalRequest",
      "source": "ChatCompletions",
      "target": "Responses",
      "skip": true,
      "reason": "Image media_type normalization artifact"
    },
    {
      "testCase": "imageUrlMimeTypeFallbackParam",
      "source": "ChatCompletions",
      "target": "Responses",
      "fields": [
        { "pattern": "messages[*].content[*].media_type", "reason": "Google-backed image URL MIME inference normalizes null media_type to image/jpeg" }
      ]
    },
    {
      "testCase": "imageUrlMimeTypeFallbackParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "messages[*].content[*].media_type", "reason": "OpenAI ChatCompletions image URLs do not preserve inferred MIME type on plain HTTPS URLs" }
      ]
    },
    {
      "testCase": "imageUrlMimeTypeFallbackParam",
      "source": "*",
      "target": "Anthropic",
      "fields": [
        { "pattern": "messages[*].content.length", "reason": "Anthropic request path drops the image URL block for this case, leaving only the text part" }
      ]
    },
    {
      "testCase": "googleToolCallThoughtSignatureReplayParam",
      "source": "ChatCompletions",
      "target": "Responses",
      "fields": [
        { "pattern": "messages[*].content[*].encrypted_content", "reason": "ChatCompletions reasoning_signature is an extension used for Google thoughtSignature replay; Responses requests cannot carry it on function_call items" }
      ]
    },
    {
      "testCase": "googleToolCallThoughtSignatureReplayParam",
      "source": "ChatCompletions",
      "target": "Anthropic",
      "fields": [
        { "pattern": "messages[*].content[*].encrypted_content", "reason": "ChatCompletions reasoning_signature is an extension used for Google thoughtSignature replay; Anthropic tool_use blocks cannot carry it" }
      ]
    },
    {
      "testCase": "googleToolCallThoughtSignatureReplayParam",
      "source": "ChatCompletions",
      "target": "Bedrock Anthropic",
      "fields": [
        { "pattern": "messages[*].content[*].encrypted_content", "reason": "ChatCompletions reasoning_signature is an extension used for Google thoughtSignature replay; Bedrock Anthropic tool_use blocks cannot carry it" }
      ]
    },
    {
      "testCase": "googleToolCallThoughtSignatureReplayParam",
      "source": "ChatCompletions",
      "target": "Vertex Anthropic",
      "fields": [
        { "pattern": "messages[*].content[*].encrypted_content", "reason": "ChatCompletions reasoning_signature is an extension used for Google thoughtSignature replay; Vertex Anthropic tool_use blocks cannot carry it" }
      ]
    },
    {
      "testCase": "imageUrlMimeTypeFallbackParam",
      "source": "*",
      "target": "Bedrock",
      "fields": [
        { "pattern": "messages[*].content.length", "reason": "Bedrock Anthropic-compatible request path drops the image URL block for this case, leaving only the text part" }
      ]
    },
    {
      "testCase": "anthropicMidConversationSystemMessage",
      "source": "Anthropic",
      "target": "Bedrock",
      "fields": [
        { "pattern": "messages[*].role", "reason": "Bedrock Converse does not preserve Anthropic system-role message entries and converts them to user text" },
        { "pattern": "messages[*].content[*].text", "reason": "Bedrock Converse prefixes converted Anthropic system-role message text with System:" }
      ]
    },
    {
      "testCase": "anthropicMessageWithSystemMessage",
      "source": "Anthropic",
      "target": "Anthropic",
      "errors": [
        { "pattern": "live Messages API currently rejects role 'system'", "reason": "Claude Code system-role message payload is accepted as an Anthropic-shaped source for non-Anthropic targets, but the live Anthropic Messages API rejects system-role input messages for available models" }
      ]
    },
    {
      "testCase": "anthropicMessageWithSystemMessage",
      "source": "Anthropic",
      "target": "Bedrock Anthropic",
      "skip": true,
      "reason": "Claude Code system-role message payload is accepted as an Anthropic-shaped source for non-Anthropic targets, but Bedrock Anthropic targets use Anthropic Messages validation"
    },
    {
      "testCase": "anthropicMessageWithSystemMessage",
      "source": "Anthropic",
      "target": "Vertex Anthropic",
      "skip": true,
      "reason": "Claude Code system-role message payload is accepted as an Anthropic-shaped source for non-Anthropic targets, but Vertex Anthropic targets use Anthropic Messages validation"
    },
    {
      "testCase": "imageUrlMimeTypeFallbackParam",
      "source": "*",
      "target": "Bedrock Anthropic",
      "fields": [
        { "pattern": "messages[*].content.length", "reason": "Bedrock Anthropic-compatible request path drops the image URL block for this case, leaving only the text part" }
      ]
    },
    {
      "testCase": "imageUrlMimeTypeFallbackParam",
      "source": "*",
      "target": "Vertex Anthropic",
      "fields": [
        { "pattern": "messages[*].content.length", "reason": "Vertex Anthropic-compatible request path drops the image URL block for this case, leaving only the text part" }
      ]
    },
    {
      "testCase": "instructionsParam",
      "source": "ChatCompletions",
      "target": "Anthropic",
      "skip": true,
      "reason": "Anthropic extracts system messages to separate system parameter"
    },
    {
      "testCase": "instructionsParam",
      "source": "Responses",
      "target": "Anthropic",
      "skip": true,
      "reason": "Anthropic extracts system messages to separate system parameter"
    },
    {
      "testCase": "systemMessageArrayContent",
      "source": "ChatCompletions",
      "target": "Anthropic",
      "skip": true,
      "reason": "Anthropic extracts system messages to separate system parameter"
    },
    {
      "testCase": "systemMessageArrayContent",
      "source": "Responses",
      "target": "Anthropic",
      "skip": true,
      "reason": "Anthropic extracts system messages to separate system parameter"
    },
    {
      "testCase": "multimodalRequest",
      "source": "Responses",
      "target": "ChatCompletions",
      "skip": true,
      "reason": "Image provider_options not preserved in cross-provider transformation"
    },
    {
      "testCase": "complexReasoningRequest",
      "source": "Responses",
      "target": "ChatCompletions",
      "skip": true,
      "reason": "ChatCompletions collapses reasoning summary blocks to single string"
    },
    {
      "testCase": "webSearchToolParam",
      "source": "Anthropic",
      "target": "Responses",
      "skip": true,
      "reason": "Anthropic web_search encrypted results cannot be transformed to OpenAI"
    },
    {
      "testCase": "webSearchToolAdvancedParam",
      "source": "Anthropic",
      "target": "Responses",
      "skip": true,
      "reason": "Anthropic web_search encrypted results cannot be transformed to OpenAI"
    },
    {
      "testCase": "topPReasoningModelParam",
      "source": "*",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.top_p", "reason": "OpenAI reasoning models do not support top_p, so it is stripped for request compatibility" }
      ]
    },
    {
      "testCase": "topPReasoningModelParam",
      "source": "*",
      "target": "Responses",
      "fields": [
        { "pattern": "params.top_p", "reason": "OpenAI reasoning models do not support top_p, so it is stripped for request compatibility" }
      ]
    },
    {
      "testCase": "promptCacheKeyParam",
      "source": "*",
      "target": "Anthropic",
      "fields": [
        { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Anthropic does not support an equivalent cache bucketing key" }
      ]
    },
    {
      "testCase": "promptCacheKeyParam",
      "source": "*",
      "target": "Bedrock Anthropic",
      "fields": [
        { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Bedrock Anthropic does not support an equivalent cache bucketing key" }
      ]
    },
    {
      "testCase": "promptCacheKeyParam",
      "source": "*",
      "target": "Vertex Anthropic",
      "fields": [
        { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Vertex Anthropic does not support an equivalent cache bucketing key" }
      ]
    },
    {
      "testCase": "promptCacheKeyParam",
      "source": "*",
      "target": "Google",
      "fields": [
        { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Google does not support an equivalent cache bucketing key" }
      ]
    },
    {
      "testCase": "openaiPromptCacheKeyParam",
      "source": "*",
      "target": "Anthropic",
      "fields": [
        { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Anthropic does not support an equivalent cache bucketing key" }
      ]
    },
    {
      "testCase": "openaiPromptCacheKeyParam",
      "source": "*",
      "target": "Bedrock Anthropic",
      "fields": [
        { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Bedrock Anthropic does not support an equivalent cache bucketing key" }
      ]
    },
    {
      "testCase": "openaiPromptCacheKeyParam",
      "source": "*",
      "target": "Vertex Anthropic",
      "fields": [
        { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Vertex Anthropic does not support an equivalent cache bucketing key" }
      ]
    },
    {
      "testCase": "openaiPromptCacheKeyParam",
      "source": "*",
      "target": "Google",
      "fields": [
        { "pattern": "params.prompt_cache_key", "reason": "prompt_cache_key is OpenAI-specific and Google does not support an equivalent cache bucketing key" }
      ]
    },
    {
      "testCase": "webSearchToolParam",
      "source": "Anthropic",
      "target": "ChatCompletions",
      "skip": true,
      "reason": "Anthropic web search is dropped for ChatCompletions because there is no supported equivalent request field"
    },
    {
      "testCase": "documentContentParam",
      "source": "Anthropic",
      "target": "ChatCompletions",
      "skip": true,
      "reason": "OpenAI ChatCompletions file inputs require provider-specific payloads such as PDF data URLs, so Anthropic document blocks map lossily from universal File content"
    },
    {
      "testCase": "reasoningEffortLowParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.reasoning.budget_tokens", "reason": "OpenAI uses effort levels, thinkingBudget gets quantized" }
      ]
    },
    {
      "testCase": "reasoningEffortLowParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.reasoning.budget_tokens", "reason": "OpenAI uses effort levels, thinkingBudget gets quantized" }
      ]
    },
    {
      "testCase": "reasoningSummaryParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.reasoning.budget_tokens", "reason": "OpenAI uses effort levels, thinkingBudget gets quantized" }
      ]
    },
    {
      "testCase": "reasoningSummaryParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.reasoning.budget_tokens", "reason": "OpenAI uses effort levels, thinkingBudget gets quantized" }
      ]
    },
    {
      "testCase": "textFormatJsonSchemaParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "textFormatJsonSchemaParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "textFormatJsonSchemaWithDescriptionParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "textFormatJsonSchemaWithDescriptionParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "textFormatJsonSchemaMissingRequiredPropertyParam",
      "source": "ChatCompletions",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.required", "reason": "Strict OpenAI-style targets require every object property to be listed in required" }
      ]
    },
    {
      "testCase": "textFormatJsonSchemaMissingRequiredPropertyParam",
      "source": "ChatCompletions",
      "target": "Responses",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.required", "reason": "Strict OpenAI-style targets require every object property to be listed in required" }
      ]
    },
    {
      "testCase": "textFormatJsonSchemaMissingRequiredPropertyParam",
      "source": "Responses",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.required", "reason": "Strict OpenAI-style targets require every object property to be listed in required" }
      ]
    },
    {
      "testCase": "googleResponseSchemaPropertyOrderingParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" },
        { "pattern": "params.response_format.json_schema.schema.propertyOrdering", "reason": "Google propertyOrdering is a Google-only schema hint and is stripped for non-Google strict-schema targets" }
      ]
    },
    {
      "testCase": "googleResponseSchemaPropertyOrderingParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" },
        { "pattern": "params.response_format.json_schema.schema.propertyOrdering", "reason": "Google propertyOrdering is a Google-only schema hint and is stripped for non-Google strict-schema targets" }
      ]
    },
    {
      "testCase": "jsonSchemaPrefixItemsParam",
      "source": "*",
      "target": "Anthropic",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.properties.tuple.prefixItems", "reason": "Anthropic structured outputs drop tuple-position hints during lossy schema normalization" },
        { "pattern": "params.response_format.json_schema.schema.properties.tuple.minItems", "reason": "Anthropic structured outputs drop array length bounds during lossy schema normalization" },
        { "pattern": "params.response_format.json_schema.schema.properties.tuple.maxItems", "reason": "Anthropic structured outputs drop array length bounds during lossy schema normalization" }
      ]
    },
    {
      "testCase": "jsonSchemaPrefixItemsParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "jsonSchemaPrefixItemsParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "jsonSchemaFormatParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "jsonSchemaFormatParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "jsonSchemaMinMaxItemsParam",
      "source": "*",
      "target": "Anthropic",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.properties.tags.minItems", "reason": "Anthropic structured outputs drop array length bounds during lossy schema normalization" },
        { "pattern": "params.response_format.json_schema.schema.properties.tags.maxItems", "reason": "Anthropic structured outputs drop array length bounds during lossy schema normalization" }
      ]
    },
    {
      "testCase": "jsonSchemaMinMaxItemsParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "jsonSchemaMinMaxItemsParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "jsonSchemaMinimumMaximumParam",
      "source": "*",
      "target": "Anthropic",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.properties.score.minimum", "reason": "Anthropic structured outputs drop numeric bounds during lossy schema normalization" },
        { "pattern": "params.response_format.json_schema.schema.properties.score.maximum", "reason": "Anthropic structured outputs drop numeric bounds during lossy schema normalization" }
      ]
    },
    {
      "testCase": "jsonSchemaMinimumMaximumParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "jsonSchemaMinimumMaximumParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.response_format.json_schema.schema.additionalProperties", "reason": "Strict OpenAI-style targets require explicit closed object schemas when Google omits additionalProperties" }
      ]
    },
    {
      "testCase": "thinkingLevelParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "messages[*].content.length", "reason": "ChatCompletions doesn't support thinking/reasoning content blocks" }
      ]
    },
    {
      "testCase": "imageConfigParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "messages[*].content[*].type", "reason": "Google assistant image content not supported in ChatCompletions" },
        { "pattern": "messages[*].content[*].media_type", "reason": "Google assistant image content not supported in ChatCompletions" },
        { "pattern": "messages[*].content[*].data", "reason": "Google assistant image content not supported in ChatCompletions" },
        { "pattern": "messages[*].content[*].text", "reason": "Google assistant image content converted to text fallback in ChatCompletions" }
      ]
    },
    {
      "testCase": "imageConfigParam",
      "source": "Google",
      "target": "Anthropic",
      "fields": [
        { "pattern": "messages[*].content[*].type", "reason": "Google assistant image content not supported in Anthropic" },
        { "pattern": "messages[*].content[*].media_type", "reason": "Google assistant image content not supported in Anthropic" },
        { "pattern": "messages[*].content[*].data", "reason": "Google assistant image content not supported in Anthropic" },
        { "pattern": "messages[*].content[*].text", "reason": "Google assistant image content converted to text fallback in Anthropic" }
      ]
    },
    {
      "testCase": "webSearchToolParam",
      "source": "Google",
      "target": "ChatCompletions",
      "skip": true,
      "reason": "Google web search is dropped for ChatCompletions because there is no reliable supported equivalent request field"
    },
    {
      "testCase": "webSearchToolAdvancedParam",
      "source": "Google",
      "target": "ChatCompletions",
      "skip": true,
      "reason": "Google web search is dropped for ChatCompletions because there is no reliable supported equivalent request field"
    },
    {
      "testCase": "webSearchToolParam",
      "source": "Google",
      "target": "Responses",
      "skip": true,
      "reason": "Google googleSearch is intentionally canonicalized to the OpenAI Responses web_search tool shape"
    },
    {
      "testCase": "webSearchToolAdvancedParam",
      "source": "Google",
      "target": "Responses",
      "skip": true,
      "reason": "Google googleSearch is intentionally canonicalized to the OpenAI Responses web_search tool shape"
    },
    {
      "testCase": "webSearchToolParam",
      "source": "Google",
      "target": "Anthropic",
      "skip": true,
      "reason": "Google googleSearch is intentionally canonicalized to Anthropic web_search_20250305"
    },
    {
      "testCase": "webSearchToolAdvancedParam",
      "source": "Google",
      "target": "Anthropic",
      "skip": true,
      "reason": "Google googleSearch is intentionally canonicalized to Anthropic web_search_20250305"
    },
    {
      "testCase": "webSearchToolParam",
      "source": "Anthropic",
      "target": "Google",
      "fields": [
        { "pattern": "messages[*].content.length", "reason": "Anthropic web search content blocks don't map 1:1 to Google structure" }
      ]
    },
    {
      "testCase": "webSearchToolAdvancedParam",
      "source": "Anthropic",
      "target": "Google",
      "fields": [
        { "pattern": "messages[*].content.length", "reason": "Anthropic web search content blocks don't map 1:1 to Google structure" }
      ]
    },
    {
      "testCase": "documentContentParam",
      "source": "Anthropic",
      "target": "Google",
      "fields": [
        { "pattern": "messages[*].content.length", "reason": "Anthropic document blocks not supported in Google" }
      ]
    },
    {
      "testCase": "responsesInputFileUrlParam",
      "source": "Responses",
      "target": "Anthropic",
      "fields": [
        { "pattern": "messages[*].content[*].provider_options", "reason": "Anthropic document blocks require provider_options.anthropic_type=document to preserve document semantics on reparse" }
      ]
    },
    {
      "testCase": "reasoningSummaryParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "messages.length", "reason": "Google reasoning summary creates additional messages in Responses format" }
      ]
    },
    {
      "testCase": "thinkingLevelParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "messages.length", "reason": "Google reasoning content expands to separate output items in Responses format" }
      ]
    },
    {
      "testCase": "webSearchToolParam",
      "source": "Responses",
      "target": "ChatCompletions",
      "skip": true,
      "reason": "OpenAI Responses web search does not roundtrip through ChatCompletions as the same request structure"
    },
    {
      "testCase": "toolChoiceRequiredWithReasoningParam",
      "source": "ChatCompletions",
      "target": "Anthropic",
      "fields": [
        { "pattern": "params.reasoning", "reason": "Anthropic rejects enabled thinking when tool_choice forces a specific tool; thinking is intentionally dropped" }
      ]
    },
    {
      "testCase": "toolChoiceRequiredWithReasoningParam",
      "source": "ChatCompletions",
      "target": "Bedrock Anthropic",
      "fields": [
        { "pattern": "params.reasoning", "reason": "Anthropic rejects enabled thinking when tool_choice forces a specific tool; thinking is intentionally dropped" }
      ]
    },
    {
      "testCase": "toolChoiceRequiredWithReasoningParam",
      "source": "ChatCompletions",
      "target": "Vertex Anthropic",
      "fields": [
        { "pattern": "params.reasoning", "reason": "Anthropic rejects enabled thinking when tool_choice forces a specific tool; thinking is intentionally dropped" }
      ]
    },
    {
      "testCase": "codeInterpreterToolParam",
      "source": "Google",
      "target": "Anthropic",
      "skip": true,
      "reason": "Google code_execution is provider-specific and is not a lossless equivalent of Anthropic bash"
    },
    {
      "testCase": "toolChoiceRequiredWithReasoningParam",
      "source": "Google",
      "target": "Anthropic",
      "fields": [
        { "pattern": "params.reasoning", "reason": "Anthropic rejects enabled thinking when tool_choice forces a specific tool; thinking is intentionally dropped" }
      ]
    },
    {
      "testCase": "toolChoiceRequiredWithReasoningParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "messages.length", "reason": "Responses expands Google required-tool reasoning followups into a different message shape" }
      ]
    },
    {
      "testCase": "responseModalitiesAudioParam",
      "source": "Google",
      "target": "Anthropic",
      "fields": [
        { "pattern": "messages[*].content[*].type", "reason": "Google assistant audio content becomes text fallback in Anthropic" },
        { "pattern": "messages[*].content[*].media_type", "reason": "Google assistant audio content is not preserved in Anthropic" },
        { "pattern": "messages[*].content[*].data", "reason": "Google assistant audio content is not preserved in Anthropic" },
        { "pattern": "messages[*].content[*].text", "reason": "Google assistant audio content becomes text fallback in Anthropic" }
      ]
    },
    {
      "testCase": "responseModalitiesAudioParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "messages[*].content[*].type", "reason": "Google assistant audio content becomes text fallback in ChatCompletions" },
        { "pattern": "messages[*].content[*].media_type", "reason": "Google assistant audio content is not preserved in ChatCompletions" },
        { "pattern": "messages[*].content[*].data", "reason": "Google assistant audio content is not preserved in ChatCompletions" },
        { "pattern": "messages[*].content[*].text", "reason": "Google assistant audio content becomes text fallback in ChatCompletions" }
      ]
    },
    {
      "testCase": "urlContextToolParam",
      "source": "Google",
      "target": "Anthropic",
      "skip": true,
      "reason": "Google url_context builtin tool has no Anthropic equivalent"
    },
    {
      "testCase": "urlContextToolParam",
      "source": "Google",
      "target": "Responses",
      "fields": [
        { "pattern": "params.tools", "reason": "Google url_context builtin tool has no Responses equivalent" }
      ]
    },
    {
      "testCase": "urlContextToolParam",
      "source": "Google",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.tools", "reason": "Google url_context builtin tool has no ChatCompletions equivalent" }
      ]
    },
    {
      "testCase": "parallelToolCallsRequest",
      "source": "*",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "messages.length", "reason": "Parallel tool results grouped in one Tool message expand to separate role:tool messages in ChatCompletions" }
      ]
    },
    {
      "testCase": "parallelToolCallsRequest",
      "source": "*",
      "target": "Responses",
      "fields": [
        { "pattern": "messages.length", "reason": "Parallel tool results grouped in one Tool message expand to separate function_call_output items in Responses API" }
      ]
    },
    {
      "testCase": "parallelToolCallsRequest",
      "source": "*",
      "target": "Bedrock",
      "fields": [
        { "pattern": "messages.length", "reason": "Bedrock Converse requires adjacent tool results to be grouped in the next user message" }
      ]
    },
    {
      "testCase": "textFormatJsonObjectParam",
      "source": "*",
      "target": "Anthropic",
      "fields": [
        { "pattern": "params.tools", "reason": "Anthropic json_object compatibility uses a synthetic json tool shim" }
      ]
    },
    {
      "testCase": "textFormatJsonObjectParam",
      "source": "*",
      "target": "Bedrock Anthropic",
      "fields": [
        { "pattern": "params.tools", "reason": "Anthropic json_object compatibility uses a synthetic json tool shim" }
      ]
    },
    {
      "testCase": "textFormatJsonObjectParam",
      "source": "*",
      "target": "Vertex Anthropic",
      "fields": [
        { "pattern": "params.tools", "reason": "Anthropic json_object compatibility uses a synthetic json tool shim" }
      ]
    },
    {
      "testCase": "simpleRequestTruncated",
      "source": "*",
      "target": "Responses",
      "fields": [
        { "pattern": "params.token_budget", "reason": "Responses clamps very small output token budgets to the provider minimum of 16" }
      ]
    },
    {
      "testCase": "simpleRequestTruncated",
      "source": "*",
      "target": "ChatCompletions",
      "fields": [
        { "pattern": "params.token_budget", "reason": "Chat Completions clamps very small output token budgets to the provider minimum of 16" }
      ]
    },
    {
      "testCase": "reasoningEffortNoneParam",
      "source": "ChatCompletions",
      "target": "*",
      "fields": [
        { "pattern": "params.reasoning", "reason": "OpenAI reasoning effort 'none' disables reasoning; non-OpenAI providers do not preserve it as a reasoning config" }
      ]
    },
    {
      "testCase": "reasoningEffortNoneParam",
      "source": "Responses",
      "target": "*",
      "fields": [
        { "pattern": "params.reasoning", "reason": "OpenAI reasoning effort 'none' disables reasoning; non-OpenAI providers do not preserve it as a reasoning config" }
      ]
    },
    {
      "testCase": "simpleRequestTruncated",
      "source": "Google",
      "target": "*",
      "fields": [
        { "pattern": "messages[*].content", "reason": "Empty assistant content (no parts) from truncated Gemini response gains a placeholder empty text part when roundtripped through other providers" },
        { "pattern": "messages.length", "reason": "Empty assistant content from truncated Gemini response may change message count when roundtripped through providers that split/merge messages" }
      ]
    },
    {
      "testCase": "exclusiveMinimumToolParam",
      "source": "ChatCompletions",
      "target": "Google",
      "fields": [
        { "pattern": "params.tools[0].parameters.properties.max_tokens.exclusiveMinimum", "reason": "Gemini's Schema proto does not support JSON Schema Draft-07 keywords such as exclusiveMinimum; they are stripped during conversion to avoid a 400 INVALID_ARGUMENT error" }
      ]
    },
    {
      "testCase": "responsesAdditionalToolsParam",
      "source": "Responses",
      "target": "*",
      "errors": [
        { "pattern": "InputItemType::AdditionalTools", "reason": "Responses additional_tools is a mid-conversation tool definition item with no universal representation" }
      ]
    }
  ]
}