Struct MessageContext 

#[non_exhaustive]
pub struct MessageContext {
    pub ai_role: Option<String>,
    pub ai_role_id: Option<i64>,
    pub application: Option<Box<Application>>,
    pub completion_tokens: Option<i64>,
    pub name: Option<String>,
    pub prompt_tokens: Option<i64>,
    pub service: Option<Box<Service>>,
    pub total_tokens: Option<i64>,
    pub uid: Option<String>,
}

Message Context

Communication context for AI system interactions including protocols, roles, clients, and session information for MCP and other AI communication systems.

[] Category: | Name: message_context

Constraints:

• at_least_one: [name,uid]

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

ai_role: Option<String>

AI Role

The normalized caption of the ai_role_id.

optional

ai_role_id: Option<i64>

AI Role ID

Specifies the functional role of the AI within the context of this message, such as retrieving information, assisting reasoning, executing a tool, or generating content.

recommended

application: Option<Box<Application>>

Application

The initiating client application. In AI systems, this represents the client-side application or framework that initiates requests (e.g., LangChain application, web browser, mobile app, SDK implementation).

recommended

completion_tokens: Option<i64>

Completion Tokens

Number of tokens in the model’s response/completion for this message.

optional

name: Option<String>

Name

The name or identifier of the message context. In AI systems, this could be the conversation ID, session name, thread identifier, or interaction name (e.g., ‘user-session-123’, ‘conversation-abc’, ‘chat-thread-456’).

recommended

prompt_tokens: Option<i64>

Prompt Tokens

Number of tokens in the input prompt for this message.

optional

service: Option<Box<Service>>

Service

The server or service handling the request. In AI systems, this represents the AI service, API endpoint, or agent that processes and responds to requests (e.g., OpenAI API service, Claude API service, internal AI model service).

recommended

total_tokens: Option<i64>

Total Tokens

Total number of tokens used for this message (prompt + completion).

optional

uid: Option<String>

Unique ID

The unique identifier of the message context. This could be a session ID, conversation ID, or other unique identifier that allows correlation of messages within the same context.

recommended

Trait Implementations

impl Clone for MessageContext

fn clone(&self) -> MessageContext

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for MessageContext

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for MessageContext

fn default() -> MessageContext

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for MessageContext

where MessageContext: Default,

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for MessageContext

fn eq(&self, other: &MessageContext) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for MessageContext

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for MessageContext