Uses of Class
org.mockserver.llm.ParsedConversation

Packages that use ParsedConversation

Package	Description
org.mockserver.llm
org.mockserver.llm.client
org.mockserver.llm.codec

Uses of ParsedConversation in org.mockserver.llm

Methods in org.mockserver.llm that return ParsedConversation

Modifier and Type	Method	Description
default ParsedConversation	ProviderCodec.decode(HttpRequest request)
static ParsedConversation	ParsedConversation.empty()
static ParsedConversation	ParsedConversation.of(List<ParsedMessage> messages)

Methods in org.mockserver.llm with parameters of type ParsedConversation

Modifier and Type	Method	Description
static int	TokenCounter.estimatePromptTokens(ParsedConversation conversation)	Estimate the approximate prompt (input) token count for a decoded conversation: the sum of the per-message text estimates plus a small fixed per-message overhead (real chat formats wrap each message in role markers / delimiters that cost a few tokens).

Uses of ParsedConversation in org.mockserver.llm.client

Methods in org.mockserver.llm.client with parameters of type ParsedConversation

Modifier and Type	Method	Description
protected void	AbstractLlmClient.appendRoleContentMessages(com.fasterxml.jackson.databind.node.ArrayNode messagesArray, ParsedConversation prompt, String systemRole, String userRole, String assistantRole, String toolRole)	Append the conversation's messages to messagesArray as {role, content} objects using the given role names.
HttpRequest	AnthropicLlmClient.buildCompletionRequest(LlmBackend backend, ParsedConversation prompt)
HttpRequest	AzureOpenAiLlmClient.buildCompletionRequest(LlmBackend backend, ParsedConversation prompt)
HttpRequest	BedrockLlmClient.buildCompletionRequest(LlmBackend backend, ParsedConversation prompt)
HttpRequest	GeminiLlmClient.buildCompletionRequest(LlmBackend backend, ParsedConversation prompt)
HttpRequest	LlmClient.buildCompletionRequest(LlmBackend backend, ParsedConversation prompt)	Build the outbound completion request (URL path, auth headers, request body) for the given backend and prompt.
HttpRequest	OllamaLlmClient.buildCompletionRequest(LlmBackend backend, ParsedConversation prompt)
HttpRequest	OpenAiLlmClient.buildCompletionRequest(LlmBackend backend, ParsedConversation prompt)
HttpRequest	OpenAiResponsesLlmClient.buildCompletionRequest(LlmBackend backend, ParsedConversation prompt)
Optional<Completion>	LlmCompletionService.complete(LlmBackend backend, ParsedConversation prompt)	Complete the given prompt against the backend, or Optional.empty() if no client is registered for the provider or the call fails for any reason (fail-closed).

Uses of ParsedConversation in org.mockserver.llm.codec

Methods in org.mockserver.llm.codec that return ParsedConversation

Modifier and Type	Method	Description
ParsedConversation	AnthropicCodec.decode(HttpRequest request)
ParsedConversation	AzureOpenAiCodec.decode(HttpRequest request)
ParsedConversation	BedrockCodec.decode(HttpRequest request)
ParsedConversation	GeminiCodec.decode(HttpRequest request)
ParsedConversation	OllamaCodec.decode(HttpRequest request)
ParsedConversation	OpenAiChatCompletionsCodec.decode(HttpRequest request)
ParsedConversation	OpenAiResponsesCodec.decode(HttpRequest request)