use std::collections::BTreeMap;
use std::marker::PhantomData;
use std::pin::Pin;
use std::sync::Arc;
use std::time::{SystemTime, UNIX_EPOCH};
use async_stream::try_stream;
use async_trait::async_trait;
use futures_util::Stream;
use serde::de::DeserializeOwned;
use serde::{Deserialize, Serialize};
use serde_json::{Map, Value};
use crate::client::{OpenAiCompatibleConfig, ZHIPU_BASE_URL, ZhipuConfig};
use crate::{
ChatCompletionRequest, ChatCompletionResponse, ChatMessage, ChatProvider, ConversationMemory,
ExtraFields, FunctionDefinition, MemoryDocument, MessageContent, Result, SdkError, Tool, Usage,
};
pub type OfficialAgentStream = Pin<Box<dyn Stream<Item = Result<OfficialAgentResponse>> + Send>>;
pub type RetrievalAgentStream = Pin<Box<dyn Stream<Item = Result<RetrievalAgentEvent>> + Send>>;
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "lowercase")]
pub enum OfficialAgentRole {
System,
User,
Assistant,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum OfficialAgentInputPart {
Text { text: String },
FileId { file_id: String },
FileUrl { file_url: String },
ImageUrl { image_url: String },
}
impl OfficialAgentInputPart {
pub fn text(value: impl Into<String>) -> Self {
Self::Text { text: value.into() }
}
pub fn file_id(value: impl Into<String>) -> Self {
Self::FileId {
file_id: value.into(),
}
}
pub fn file_url(value: impl Into<String>) -> Self {
Self::FileUrl {
file_url: value.into(),
}
}
pub fn image_url(value: impl Into<String>) -> Self {
Self::ImageUrl {
image_url: value.into(),
}
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(untagged)]
pub enum OfficialAgentMessageContent {
Text(String),
Part(OfficialAgentInputPart),
Parts(Vec<OfficialAgentInputPart>),
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub struct OfficialAgentMessage {
pub role: OfficialAgentRole,
pub content: OfficialAgentMessageContent,
}
impl OfficialAgentMessage {
pub fn user(value: impl Into<String>) -> Self {
Self {
role: OfficialAgentRole::User,
content: OfficialAgentMessageContent::Text(value.into()),
}
}
pub fn multimodal(parts: Vec<OfficialAgentInputPart>) -> Self {
Self {
role: OfficialAgentRole::User,
content: OfficialAgentMessageContent::Parts(parts),
}
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct OfficialAgentRequest {
pub agent_id: String,
#[serde(default, skip_serializing_if = "is_false")]
pub stream: bool,
pub messages: Vec<OfficialAgentMessage>,
#[serde(skip_serializing_if = "Option::is_none")]
pub custom_variables: Option<Value>,
#[serde(flatten, default, skip_serializing_if = "Map::is_empty")]
pub extra: ExtraFields,
}
impl OfficialAgentRequest {
pub fn new(agent_id: impl Into<String>) -> Self {
Self {
agent_id: agent_id.into(),
stream: false,
messages: Vec::new(),
custom_variables: None,
extra: Map::new(),
}
}
pub fn message(mut self, message: OfficialAgentMessage) -> Self {
self.messages.push(message);
self
}
pub fn custom_variables(mut self, value: impl Serialize) -> serde_json::Result<Self> {
self.custom_variables = Some(serde_json::to_value(value)?);
Ok(self)
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub struct TranslationAgentVariables {
#[serde(default = "default_source_language")]
pub source_lang: String,
#[serde(default = "default_target_language")]
pub target_lang: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub glossary: Option<String>,
#[serde(default = "default_translation_strategy")]
pub strategy: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub strategy_config: Option<Value>,
}
impl Default for TranslationAgentVariables {
fn default() -> Self {
Self {
source_lang: default_source_language(),
target_lang: default_target_language(),
glossary: None,
strategy: default_translation_strategy(),
strategy_config: None,
}
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum OfficialAgentOutputPart {
Text { text: String },
FileUrl { file_url: String },
ImageUrl { image_url: String },
AudioUrl { audio_url: String },
VideoUrl { video_url: String },
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(untagged)]
pub enum OfficialAgentOutputContent {
Text(String),
Part(OfficialAgentOutputPart),
Parts(Vec<OfficialAgentOutputPart>),
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub struct OfficialAgentOutputMessage {
pub role: OfficialAgentRole,
pub content: OfficialAgentOutputContent,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, Default)]
pub struct OfficialAgentChoice {
#[serde(default)]
pub index: u32,
#[serde(default)]
pub messages: Vec<OfficialAgentOutputMessage>,
#[serde(default)]
pub finish_reason: Option<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
pub struct OfficialAgentResponse {
#[serde(default)]
pub id: Option<String>,
#[serde(default)]
pub agent_id: Option<String>,
#[serde(default)]
pub conversation_id: Option<String>,
#[serde(default)]
pub async_id: Option<String>,
#[serde(default)]
pub choices: Vec<OfficialAgentChoice>,
#[serde(default)]
pub usage: Option<Usage>,
#[serde(flatten, default)]
pub extra: ExtraFields,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct AgentAsyncResultRequest {
pub async_id: String,
pub agent_id: String,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
pub struct AgentAsyncResultResponse {
#[serde(default)]
pub agent_id: String,
#[serde(default)]
pub async_id: String,
#[serde(default)]
pub status: AgentAsyncStatus,
#[serde(default)]
pub choices: Vec<OfficialAgentChoice>,
#[serde(default)]
pub usage: Option<Usage>,
#[serde(flatten, default)]
pub extra: ExtraFields,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, Default)]
#[serde(rename_all = "lowercase")]
pub enum AgentAsyncStatus {
Success,
Failed,
#[default]
Pending,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
pub struct AgentConversationRequest {
pub agent_id: String,
pub conversation_id: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub custom_variables: Option<Value>,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
pub struct AgentConversationResponse {
#[serde(default)]
pub conversation_id: String,
#[serde(default)]
pub agent_id: String,
#[serde(default)]
pub choices: Vec<AgentConversationChoice>,
#[serde(default)]
pub error: Option<AgentConversationError>,
#[serde(flatten, default)]
pub extra: ExtraFields,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
pub struct AgentConversationChoice {
#[serde(default)]
pub message: Vec<AgentConversationMessage>,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
pub struct AgentConversationMessage {
#[serde(default)]
pub role: String,
#[serde(default)]
pub content: Vec<AgentConversationContent>,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
pub struct AgentConversationContent {
#[serde(rename = "type", default)]
pub kind: String,
#[serde(default)]
pub tag_cn: Option<String>,
#[serde(default)]
pub tag_en: Option<String>,
#[serde(default)]
pub file_url: Option<String>,
#[serde(default)]
pub image_url: Option<String>,
#[serde(flatten, default)]
pub extra: ExtraFields,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, Default)]
pub struct AgentConversationError {
#[serde(default)]
pub code: String,
#[serde(default)]
pub message: String,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
#[serde(untagged)]
pub enum RetrievalAgentMessageContent {
Text(String),
Parts(Vec<RetrievalAgentContentPart>),
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum RetrievalAgentContentPart {
Text { text: String },
ImageUrl { image_url: RetrievalAgentImageUrl },
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub struct RetrievalAgentImageUrl {
pub url: String,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct RetrievalAgentMessage {
pub role: String,
pub content: RetrievalAgentMessageContent,
}
impl RetrievalAgentMessage {
pub fn user(value: impl Into<String>) -> Self {
Self {
role: "user".into(),
content: RetrievalAgentMessageContent::Text(value.into()),
}
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct RetrievalAgentConfig {
pub know_ids: Vec<String>,
#[serde(default = "default_top_k")]
pub top_k: u32,
#[serde(default = "default_top_n")]
pub top_n: u32,
#[serde(default)]
pub enable_rerank: bool,
#[serde(default = "default_similarity_threshold")]
pub similarity_threshold: f32,
}
impl RetrievalAgentConfig {
pub fn new(know_ids: impl IntoIterator<Item = impl Into<String>>) -> Self {
Self {
know_ids: know_ids.into_iter().map(Into::into).collect(),
top_k: default_top_k(),
top_n: default_top_n(),
enable_rerank: false,
similarity_threshold: default_similarity_threshold(),
}
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct RetrievalAgentRequest {
pub messages: Vec<RetrievalAgentMessage>,
#[serde(default = "default_retrieval_model")]
pub model: String,
#[serde(default = "default_agent_temperature")]
pub temperature: f32,
#[serde(default = "default_agent_steps")]
pub max_steps: u32,
pub retrieval: RetrievalAgentConfig,
#[serde(default)]
pub enable_thinking: bool,
}
impl RetrievalAgentRequest {
pub fn new(retrieval: RetrievalAgentConfig) -> Self {
Self {
messages: Vec::new(),
model: default_retrieval_model(),
temperature: default_agent_temperature(),
max_steps: default_agent_steps(),
retrieval,
enable_thinking: false,
}
}
pub fn message(mut self, value: RetrievalAgentMessage) -> Self {
self.messages.push(value);
self
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "snake_case")]
pub enum RetrievalAgentEventType {
SessionCreated,
Reasoning,
Thought,
ToolCall,
ToolResult,
Answer,
Done,
Error,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
pub struct RetrievalAgentUsage {
#[serde(default)]
pub prompt_tokens: u64,
#[serde(default)]
pub completion_tokens: u64,
#[serde(default)]
pub total_tokens: u64,
#[serde(default)]
pub total_calls: u64,
#[serde(default)]
pub prompt_tokens_details: Option<Value>,
#[serde(default)]
pub completion_tokens_details: Option<Value>,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct RetrievalAgentEvent {
#[serde(rename = "type")]
pub kind: RetrievalAgentEventType,
#[serde(default, rename = "sessionId")]
pub session_id: Option<String>,
#[serde(default, rename = "messageId")]
pub message_id: Option<String>,
#[serde(default)]
pub data: Option<Value>,
#[serde(default)]
pub usage: Option<RetrievalAgentUsage>,
}
impl RetrievalAgentEvent {
pub fn text(&self) -> Option<&str> {
matches!(
self.kind,
RetrievalAgentEventType::Reasoning
| RetrievalAgentEventType::Thought
| RetrievalAgentEventType::Answer
)
.then(|| self.data.as_ref()?.as_str())
.flatten()
}
pub fn tool_call(&self) -> Result<Option<RetrievalAgentToolCall>> {
self.parse_data(RetrievalAgentEventType::ToolCall)
}
pub fn tool_result(&self) -> Result<Option<RetrievalAgentToolResult>> {
self.parse_data(RetrievalAgentEventType::ToolResult)
}
pub fn error(&self) -> Result<Option<RetrievalAgentError>> {
self.parse_data(RetrievalAgentEventType::Error)
}
fn parse_data<T: DeserializeOwned>(
&self,
expected: RetrievalAgentEventType,
) -> Result<Option<T>> {
if self.kind != expected {
return Ok(None);
}
let data = self.data.clone().ok_or_else(|| SdkError::Decode {
message: "retrieval agent event is missing data".into(),
body: String::new(),
})?;
serde_json::from_value(data.clone())
.map(Some)
.map_err(|error| SdkError::Decode {
message: error.to_string(),
body: data.to_string(),
})
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct RetrievalAgentToolCall {
#[serde(rename = "callId")]
pub call_id: String,
#[serde(rename = "toolName")]
pub tool_name: String,
#[serde(default)]
pub arguments: Map<String, Value>,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct RetrievalAgentToolResult {
#[serde(rename = "callId")]
pub call_id: String,
#[serde(rename = "toolName")]
pub tool_name: String,
#[serde(default)]
pub result: Value,
pub status: RetrievalAgentToolStatus,
#[serde(default, rename = "durationMs")]
pub duration_ms: u64,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "lowercase")]
pub enum RetrievalAgentToolStatus {
Success,
Error,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub struct RetrievalAgentError {
pub message: String,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, Default)]
pub struct AgentPersona {
#[serde(default)]
pub name: String,
#[serde(default)]
pub role: String,
#[serde(default)]
pub background: String,
#[serde(default)]
pub traits: Vec<String>,
#[serde(default)]
pub speaking_style: String,
#[serde(default)]
pub language: Option<String>,
#[serde(default)]
pub instructions: Vec<String>,
#[serde(default)]
pub boundaries: Vec<String>,
}
impl AgentPersona {
pub fn new(name: impl Into<String>, role: impl Into<String>) -> Self {
Self {
name: name.into(),
role: role.into(),
..Self::default()
}
}
pub fn background(mut self, value: impl Into<String>) -> Self {
self.background = value.into();
self
}
pub fn trait_value(mut self, value: impl Into<String>) -> Self {
self.traits.push(value.into());
self
}
pub fn speaking_style(mut self, value: impl Into<String>) -> Self {
self.speaking_style = value.into();
self
}
pub fn language(mut self, value: impl Into<String>) -> Self {
self.language = Some(value.into());
self
}
pub fn instruction(mut self, value: impl Into<String>) -> Self {
self.instructions.push(value.into());
self
}
pub fn boundary(mut self, value: impl Into<String>) -> Self {
self.boundaries.push(value.into());
self
}
pub fn validate(&self) -> Result<()> {
if self.name.trim().is_empty() || self.role.trim().is_empty() {
return Err(SdkError::Configuration(
"agent persona requires a name and role".into(),
));
}
Ok(())
}
pub fn system_prompt(&self) -> Result<String> {
self.validate()?;
let mut sections = vec![
format!("Identity: {}", self.name.trim()),
format!("Role: {}", self.role.trim()),
];
push_prompt(&mut sections, "Background", &self.background);
if !self.traits.is_empty() {
sections.push(format!("Traits: {}", self.traits.join("; ")));
}
push_prompt(&mut sections, "Speaking style", &self.speaking_style);
if let Some(language) = self
.language
.as_deref()
.filter(|value| !value.trim().is_empty())
{
sections.push(format!("Language: {}", language.trim()));
}
if !self.instructions.is_empty() {
sections.push(format!("Instructions: {}", self.instructions.join("; ")));
}
if !self.boundaries.is_empty() {
sections.push(format!("Boundaries: {}", self.boundaries.join("; ")));
}
Ok(sections.join("\n"))
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "snake_case")]
pub enum AgentProtocol {
Zhipu,
OpenAiCompatible,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub struct CredentialReference {
pub id: String,
}
impl CredentialReference {
pub fn new(id: impl Into<String>) -> Self {
Self { id: id.into() }
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub struct AgentProviderDeployment {
pub protocol: AgentProtocol,
pub name: String,
pub base_url: String,
#[serde(default = "default_chat_path")]
pub chat_path: String,
pub credential: CredentialReference,
}
impl AgentProviderDeployment {
pub fn zhipu() -> Self {
Self {
protocol: AgentProtocol::Zhipu,
name: "zhipu".into(),
base_url: ZHIPU_BASE_URL.into(),
chat_path: default_chat_path(),
credential: CredentialReference::new("ZHIPU_API_KEY"),
}
}
pub fn openai_compatible(
name: impl Into<String>,
base_url: impl Into<String>,
credential_id: impl Into<String>,
) -> Self {
Self {
protocol: AgentProtocol::OpenAiCompatible,
name: name.into(),
base_url: base_url.into(),
chat_path: default_chat_path(),
credential: CredentialReference::new(credential_id),
}
}
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, Default)]
#[serde(tag = "mode", rename_all = "snake_case")]
pub enum AgentHistoryPolicy {
#[default]
Stateless,
Recent {
max_messages: usize,
},
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct AgentManifest {
#[serde(default = "default_manifest_version")]
pub version: u32,
pub provider: AgentProviderDeployment,
pub model: String,
pub persona: AgentPersona,
#[serde(default = "default_agent_temperature")]
pub temperature: f32,
#[serde(default)]
pub max_tokens: Option<u32>,
#[serde(default = "default_agent_steps")]
pub max_steps: u32,
#[serde(default)]
pub history: AgentHistoryPolicy,
}
impl AgentManifest {
pub fn new(model: impl Into<String>, persona: AgentPersona) -> Self {
Self {
version: default_manifest_version(),
provider: AgentProviderDeployment::zhipu(),
model: model.into(),
persona,
temperature: default_agent_temperature(),
max_tokens: None,
max_steps: default_agent_steps(),
history: AgentHistoryPolicy::Stateless,
}
}
pub fn provider(mut self, value: AgentProviderDeployment) -> Self {
self.provider = value;
self
}
pub fn history(mut self, value: AgentHistoryPolicy) -> Self {
self.history = value;
self
}
pub fn validate(&self) -> Result<()> {
self.persona.validate()?;
if self.version != 1 {
return Err(SdkError::Configuration(
format!("unsupported agent manifest version {}", self.version).into(),
));
}
if self.model.trim().is_empty()
|| self.provider.name.trim().is_empty()
|| self.provider.base_url.trim().is_empty()
|| self.provider.credential.id.trim().is_empty()
{
return Err(SdkError::Configuration(
"agent manifest provider, model, and credential reference cannot be empty".into(),
));
}
let temperature_max = match self.provider.protocol {
AgentProtocol::Zhipu => 1.0,
AgentProtocol::OpenAiCompatible => 2.0,
};
if !(0.0..=temperature_max).contains(&self.temperature) || self.max_steps == 0 {
return Err(SdkError::Configuration(
"agent temperature or maximum steps are invalid".into(),
));
}
if matches!(self.history, AgentHistoryPolicy::Recent { max_messages: 0 }) {
return Err(SdkError::Configuration(
"agent history limit must be greater than zero".into(),
));
}
Ok(())
}
pub fn to_json(&self) -> Result<String> {
self.validate()?;
serde_json::to_string_pretty(self)
.map_err(|error| SdkError::Configuration(error.to_string().into()))
}
pub fn from_json(value: &str) -> Result<Self> {
let manifest: Self = serde_json::from_str(value)
.map_err(|error| SdkError::Configuration(error.to_string().into()))?;
manifest.validate()?;
Ok(manifest)
}
pub fn build_provider(&self, resolver: &dyn SecretResolver) -> Result<Arc<dyn ChatProvider>> {
self.validate()?;
let credential = resolver.resolve(&self.provider.credential)?;
match self.provider.protocol {
AgentProtocol::Zhipu => Ok(Arc::new(
ZhipuConfig::new(credential)
.base_url(&self.provider.base_url)
.build()?,
)),
AgentProtocol::OpenAiCompatible => Ok(Arc::new(
OpenAiCompatibleConfig::new(
&self.provider.name,
credential,
&self.provider.base_url,
)
.chat_path(&self.provider.chat_path)
.build()?,
)),
}
}
}
pub trait SecretResolver: Send + Sync {
fn resolve(&self, reference: &CredentialReference) -> Result<String>;
}
#[derive(Debug, Clone, Copy, Default)]
pub struct EnvironmentSecretResolver;
impl SecretResolver for EnvironmentSecretResolver {
fn resolve(&self, reference: &CredentialReference) -> Result<String> {
std::env::var(&reference.id).map_err(|_| {
SdkError::Configuration(
format!(
"credential reference {} could not be resolved",
reference.id
)
.into(),
)
})
}
}
#[async_trait]
pub trait AgentTool: Send + Sync {
fn definition(&self) -> FunctionDefinition;
async fn execute(&self, arguments: Value) -> Result<Value>;
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct AgentToolExecution {
pub call_id: String,
pub name: String,
pub arguments: Value,
pub output: Value,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct AgentRunResult {
pub response: ChatCompletionResponse,
pub model_steps: u32,
pub tool_executions: Vec<AgentToolExecution>,
}
pub struct AgentRuntime {
provider: Arc<dyn ChatProvider>,
manifest: AgentManifest,
tools: BTreeMap<String, Arc<dyn AgentTool>>,
history: Vec<ChatMessage>,
memory: Option<Arc<dyn ConversationMemory>>,
recall_limit: usize,
}
impl AgentRuntime {
pub fn new(provider: Arc<dyn ChatProvider>, manifest: AgentManifest) -> Result<Self> {
manifest.validate()?;
Ok(Self {
provider,
manifest,
tools: BTreeMap::new(),
history: Vec::new(),
memory: None,
recall_limit: 4,
})
}
pub fn from_manifest(manifest: AgentManifest, resolver: &dyn SecretResolver) -> Result<Self> {
let provider = manifest.build_provider(resolver)?;
Self::new(provider, manifest)
}
pub fn manifest(&self) -> &AgentManifest {
&self.manifest
}
pub fn history(&self) -> &[ChatMessage] {
&self.history
}
pub fn clear_history(&mut self) {
self.history.clear();
}
pub async fn clear_memory(&self) -> Result<()> {
if let Some(memory) = &self.memory {
memory.clear().await?;
}
Ok(())
}
pub fn semantic_memory(
mut self,
memory: Arc<dyn ConversationMemory>,
recall_limit: usize,
) -> Result<Self> {
if recall_limit == 0 {
return Err(SdkError::Configuration(
"agent semantic recall limit must be greater than zero".into(),
));
}
self.memory = Some(memory);
self.recall_limit = recall_limit;
Ok(self)
}
pub fn register_tool<T>(&mut self, tool: T) -> Result<()>
where
T: AgentTool + 'static,
{
self.register_shared_tool(Arc::new(tool))
}
pub fn register_shared_tool(&mut self, tool: Arc<dyn AgentTool>) -> Result<()> {
let definition = tool.definition();
let name = definition.name.trim();
if name.is_empty() {
return Err(SdkError::Configuration(
"agent tool name cannot be empty".into(),
));
}
if self.tools.contains_key(name) {
return Err(SdkError::Configuration(
format!("agent tool {name} is already registered").into(),
));
}
self.tools.insert(name.to_owned(), tool);
Ok(())
}
pub async fn run(&mut self, input: impl Into<String>) -> Result<AgentRunResult> {
let input = input.into();
if input.trim().is_empty() {
return Err(SdkError::Validation("agent input cannot be empty".into()));
}
let mut messages = vec![ChatMessage::system(self.manifest.persona.system_prompt()?)];
if let Some(memory) = &self.memory {
let recalled = memory.recall(&input, self.recall_limit).await?;
if !recalled.is_empty() {
let values = recalled
.into_iter()
.map(|item| item.document.text)
.collect::<Vec<_>>();
messages.push(ChatMessage::system(format!(
"Relevant prior context:\n{}",
serde_json::to_string(&values)
.map_err(|error| SdkError::Validation(error.to_string().into()))?
)));
}
}
messages.extend(self.history.iter().cloned());
messages.push(ChatMessage::user(&input));
let definitions = self
.tools
.values()
.map(|tool| Tool::function(tool.definition()))
.collect::<Vec<_>>();
let mut executions = Vec::new();
for step in 1..=self.manifest.max_steps {
let mut request = ChatCompletionRequest::new(&self.manifest.model)
.messages(messages.iter().cloned())
.temperature(self.manifest.temperature);
request.max_tokens = self.manifest.max_tokens;
if !definitions.is_empty() {
request.tools = Some(definitions.clone());
}
let response = self.provider.complete(request).await?;
let message = response
.choices
.first()
.map(|choice| &choice.message)
.ok_or_else(|| SdkError::Agent("model response contained no choices".into()))?;
if message.tool_calls.is_empty() {
self.commit_turn(&input, response.text()).await?;
return Ok(AgentRunResult {
response,
model_steps: step,
tool_executions: executions,
});
}
let calls = message.tool_calls.clone();
messages.push(ChatMessage {
role: crate::MessageRole::Assistant,
content: message.content.as_ref().and_then(|content| match content {
crate::ResponseContent::Text(value) => {
Some(MessageContent::Text(value.to_owned()))
}
crate::ResponseContent::Parts(_) => None,
}),
name: None,
tool_call_id: None,
tool_calls: Some(calls.clone()),
reasoning_content: message.reasoning_content.clone(),
extra: message.extra.clone(),
});
for call in calls {
let function = call.function.ok_or_else(|| {
SdkError::Tool(format!("tool call {} has no function payload", call.id).into())
})?;
let arguments =
serde_json::from_str::<Value>(&function.arguments).map_err(|error| {
SdkError::Tool(
format!(
"tool {} arguments are not valid JSON: {error}",
function.name
)
.into(),
)
})?;
let tool = self.tools.get(&function.name).ok_or_else(|| {
SdkError::Tool(format!("tool {} is not registered", function.name).into())
})?;
let output = tool.execute(arguments.clone()).await?;
let output_text = serde_json::to_string(&output)
.map_err(|error| SdkError::Tool(error.to_string().into()))?;
messages.push(ChatMessage::tool_result(&call.id, output_text));
executions.push(AgentToolExecution {
call_id: call.id,
name: function.name,
arguments,
output,
});
}
}
Err(SdkError::Agent(
format!(
"agent exceeded the configured {} model steps",
self.manifest.max_steps
)
.into(),
))
}
async fn commit_turn(&mut self, input: &str, output: Option<&str>) -> Result<()> {
let Some(output) = output else {
return Ok(());
};
if let AgentHistoryPolicy::Recent { max_messages } = self.manifest.history {
self.history.push(ChatMessage::user(input));
self.history.push(ChatMessage::assistant(output));
let overflow = self.history.len().saturating_sub(max_messages);
if overflow > 0 {
self.history.drain(..overflow);
}
}
if let Some(memory) = &self.memory {
memory
.remember(
MemoryDocument::new(
agent_memory_id()?,
format!("User: {input}\nAssistant: {output}"),
)
.metadata("source", "agent"),
)
.await?;
}
Ok(())
}
}
#[cfg(feature = "agents")]
pub(crate) fn official_agent_stream(response: reqwest::Response) -> OfficialAgentStream {
decode_sse_stream(response)
}
#[cfg(feature = "rag")]
pub(crate) fn retrieval_agent_stream(response: reqwest::Response) -> RetrievalAgentStream {
decode_sse_stream(response)
}
fn decode_sse_stream<T>(
response: reqwest::Response,
) -> Pin<Box<dyn Stream<Item = Result<T>> + Send>>
where
T: DeserializeOwned + Send + 'static,
{
let stream = try_stream! {
let mut response = response;
let mut decoder = AgentSseDecoder::<T>::default();
while let Some(bytes) = response.chunk().await? {
for value in decoder.push(&bytes)? {
yield value;
}
}
for value in decoder.finish()? {
yield value;
}
};
Box::pin(stream)
}
struct AgentSseDecoder<T> {
buffer: Vec<u8>,
event: Vec<u8>,
done: bool,
marker: PhantomData<T>,
}
impl<T> Default for AgentSseDecoder<T> {
fn default() -> Self {
Self {
buffer: Vec::new(),
event: Vec::new(),
done: false,
marker: PhantomData,
}
}
}
impl<T: DeserializeOwned> AgentSseDecoder<T> {
fn push(&mut self, bytes: &[u8]) -> Result<Vec<T>> {
if self.done {
return Ok(Vec::new());
}
self.buffer.extend_from_slice(bytes);
self.drain(false)
}
fn finish(&mut self) -> Result<Vec<T>> {
self.drain(true)
}
fn drain(&mut self, finish: bool) -> Result<Vec<T>> {
let mut values = Vec::new();
while let Some(position) = self.buffer.iter().position(|byte| *byte == b'\n') {
let mut line = self.buffer.drain(..=position).collect::<Vec<_>>();
line.pop();
if line.last() == Some(&b'\r') {
line.pop();
}
self.consume_line(&line, &mut values)?;
}
if finish {
if !self.buffer.is_empty() {
let line = std::mem::take(&mut self.buffer);
self.consume_line(&line, &mut values)?;
}
self.consume_event(&mut values)?;
}
Ok(values)
}
fn consume_line(&mut self, line: &[u8], values: &mut Vec<T>) -> Result<()> {
if line.is_empty() {
return self.consume_event(values);
}
if line.starts_with(b"data:") {
let mut data = &line[5..];
if data.first() == Some(&b' ') {
data = &data[1..];
}
if !self.event.is_empty() {
self.event.push(b'\n');
}
self.event.extend_from_slice(data);
}
Ok(())
}
fn consume_event(&mut self, values: &mut Vec<T>) -> Result<()> {
if self.event.is_empty() {
return Ok(());
}
let event = std::mem::take(&mut self.event);
if event == b"[DONE]" {
self.done = true;
return Ok(());
}
values.push(serde_json::from_slice(&event).map_err(|error| {
SdkError::Stream(format!("{}: {}", error, String::from_utf8_lossy(&event)).into())
})?);
Ok(())
}
}
fn push_prompt(sections: &mut Vec<String>, label: &str, value: &str) {
if !value.trim().is_empty() {
sections.push(format!("{label}: {}", value.trim()));
}
}
fn agent_memory_id() -> Result<String> {
let timestamp = SystemTime::now()
.duration_since(UNIX_EPOCH)
.map_err(|_| SdkError::Configuration("system clock is before Unix epoch".into()))?
.as_nanos();
Ok(format!("agent-{timestamp}"))
}
fn default_source_language() -> String {
"auto".into()
}
fn default_target_language() -> String {
"zh-CN".into()
}
fn default_translation_strategy() -> String {
"general".into()
}
fn default_retrieval_model() -> String {
"glm-5v-turbo".into()
}
fn default_chat_path() -> String {
"chat/completions".into()
}
fn default_manifest_version() -> u32 {
1
}
fn default_agent_temperature() -> f32 {
0.7
}
fn default_agent_steps() -> u32 {
10
}
fn default_top_k() -> u32 {
8
}
fn default_top_n() -> u32 {
10
}
fn default_similarity_threshold() -> f32 {
0.2
}
fn is_false(value: &bool) -> bool {
!*value
}
#[cfg(test)]
mod tests {
use std::collections::VecDeque;
use std::sync::Mutex;
use std::sync::atomic::{AtomicBool, Ordering};
use futures_util::stream;
use serde_json::json;
use super::*;
use crate::{
ChatChoice, ChatResponseMessage, FunctionCall, MessageRole, ProviderCapabilities,
ResponseContent, ResponseContentPart, ToolCall,
};
struct StaticResolver(String);
impl SecretResolver for StaticResolver {
fn resolve(&self, _: &CredentialReference) -> Result<String> {
Ok(self.0.clone())
}
}
struct MockProvider {
responses: Mutex<VecDeque<ChatCompletionResponse>>,
requests: Mutex<Vec<ChatCompletionRequest>>,
}
#[async_trait]
impl ChatProvider for MockProvider {
fn name(&self) -> &str {
"mock"
}
fn capabilities(&self) -> ProviderCapabilities {
ProviderCapabilities::openai_compatible()
}
async fn complete(&self, request: ChatCompletionRequest) -> Result<ChatCompletionResponse> {
self.requests.lock().unwrap().push(request);
self.responses
.lock()
.unwrap()
.pop_front()
.ok_or_else(|| SdkError::Agent("missing mock response".into()))
}
async fn stream(&self, _: ChatCompletionRequest) -> Result<crate::ChatStream> {
Ok(Box::pin(stream::empty()))
}
}
struct EchoTool;
struct EmptyNameTool;
#[async_trait]
impl AgentTool for EmptyNameTool {
fn definition(&self) -> FunctionDefinition {
FunctionDefinition::new("", json!({"type":"object"}))
}
async fn execute(&self, _: Value) -> Result<Value> {
Ok(Value::Null)
}
}
#[derive(Default)]
struct RecordingMemory {
documents: Mutex<Vec<MemoryDocument>>,
cleared: AtomicBool,
}
#[async_trait]
impl ConversationMemory for RecordingMemory {
async fn remember(&self, document: MemoryDocument) -> Result<()> {
self.documents.lock().unwrap().push(document);
Ok(())
}
async fn recall(&self, _: &str, _: usize) -> Result<Vec<crate::MemoryMatch>> {
Ok(vec![crate::MemoryMatch {
document: MemoryDocument::new("prior", "remembered context"),
score: 1.0,
}])
}
async fn clear(&self) -> Result<()> {
self.cleared.store(true, Ordering::SeqCst);
Ok(())
}
}
#[async_trait]
impl AgentTool for EchoTool {
fn definition(&self) -> FunctionDefinition {
FunctionDefinition::new(
"echo",
json!({"type":"object","properties":{"value":{"type":"string"}}}),
)
}
async fn execute(&self, arguments: Value) -> Result<Value> {
Ok(json!({"echoed":arguments["value"]}))
}
}
fn response(text: Option<&str>, tool_calls: Vec<ToolCall>) -> ChatCompletionResponse {
ChatCompletionResponse {
choices: vec![ChatChoice {
index: 0,
message: ChatResponseMessage {
role: Some(MessageRole::Assistant),
content: text.map(|value| ResponseContent::Text(value.into())),
tool_calls,
..Default::default()
},
finish_reason: Some("stop".into()),
}],
..Default::default()
}
}
fn tool_call() -> ToolCall {
ToolCall {
id: "call-1".into(),
kind: "function".into(),
function: Some(FunctionCall {
name: "echo".into(),
arguments: "{\"value\":\"hello\"}".into(),
}),
extra: Map::new(),
}
}
fn manifest() -> AgentManifest {
AgentManifest::new(
"glm-5.2",
AgentPersona::new("Lin", "technical companion")
.background("Rust engineer")
.trait_value("precise")
.speaking_style("concise")
.language("English")
.instruction("Use tools when useful")
.boundary("Do not invent tool results"),
)
.history(AgentHistoryPolicy::Recent { max_messages: 4 })
}
#[test]
fn official_agent_request_serializes_multimodal_content() {
let request = OfficialAgentRequest::new("general_translation")
.message(OfficialAgentMessage::user("hello"))
.message(OfficialAgentMessage::multimodal(vec![
OfficialAgentInputPart::text("translate"),
OfficialAgentInputPart::file_id("file-1"),
OfficialAgentInputPart::file_url("https://example.com/a.pdf"),
OfficialAgentInputPart::image_url("https://example.com/a.png"),
]))
.custom_variables(TranslationAgentVariables::default())
.unwrap();
let value = serde_json::to_value(request).unwrap();
assert_eq!(value["agent_id"], "general_translation");
assert_eq!(value["messages"][1]["content"][1]["type"], "file_id");
assert_eq!(value["custom_variables"]["strategy"], "general");
assert!(value.get("stream").is_none());
}
#[test]
fn official_agent_output_supports_every_documented_modality() {
let response: OfficialAgentResponse = serde_json::from_value(json!({
"id":"agent-1",
"choices":[{"index":0,"messages":[
{"role":"assistant","content":"plain"},
{"role":"assistant","content":{"type":"audio_url","audio_url":"https://example.com/a.wav"}},
{"role":"assistant","content":[
{"type":"text","text":"text"},
{"type":"file_url","file_url":"https://example.com/a.pdf"},
{"type":"image_url","image_url":"https://example.com/a.png"},
{"type":"video_url","video_url":"https://example.com/a.mp4"}
]}
]}]
}))
.unwrap();
assert_eq!(response.choices[0].messages.len(), 3);
}
#[test]
fn translation_defaults_match_official_schema() {
let value = serde_json::to_value(TranslationAgentVariables::default()).unwrap();
assert_eq!(value["source_lang"], "auto");
assert_eq!(value["target_lang"], "zh-CN");
assert_eq!(value["strategy"], "general");
}
#[test]
fn retrieval_request_and_events_use_official_field_names() {
let mut retrieval = RetrievalAgentConfig::new(["kb-1"]);
retrieval.enable_rerank = true;
retrieval.similarity_threshold = 0.4;
let mut request =
RetrievalAgentRequest::new(retrieval).message(RetrievalAgentMessage::user("question"));
request.messages.push(RetrievalAgentMessage {
role: "user".into(),
content: RetrievalAgentMessageContent::Parts(vec![
RetrievalAgentContentPart::Text {
text: "image".into(),
},
RetrievalAgentContentPart::ImageUrl {
image_url: RetrievalAgentImageUrl {
url: "https://example.com/a.png".into(),
},
},
]),
});
let value = serde_json::to_value(request).unwrap();
assert_eq!(value["model"], "glm-5v-turbo");
assert_eq!(value["retrieval"]["top_k"], 8);
assert_eq!(value["messages"][1]["content"][1]["type"], "image_url");
let event: RetrievalAgentEvent = serde_json::from_value(json!({
"type":"session_created","sessionId":"session-1","data":"ready"
}))
.unwrap();
assert_eq!(event.kind, RetrievalAgentEventType::SessionCreated);
assert_eq!(event.session_id.as_deref(), Some("session-1"));
assert!(event.tool_call().unwrap().is_none());
let tool_call: RetrievalAgentEvent = serde_json::from_value(json!({
"type":"tool_call",
"data":{"callId":"call-1","toolName":"search","arguments":{"query":"Rust"}}
}))
.unwrap();
assert_eq!(tool_call.tool_call().unwrap().unwrap().tool_name, "search");
let tool_result: RetrievalAgentEvent = serde_json::from_value(json!({
"type":"tool_result",
"data":{"callId":"call-1","toolName":"search","result":{"count":1},"status":"success","durationMs":12}
}))
.unwrap();
assert_eq!(tool_result.tool_result().unwrap().unwrap().duration_ms, 12);
let answer: RetrievalAgentEvent = serde_json::from_value(json!({
"type":"answer","data":"finished"
}))
.unwrap();
assert_eq!(answer.text(), Some("finished"));
let error: RetrievalAgentEvent = serde_json::from_value(json!({
"type":"error","data":{"message":"failed"}
}))
.unwrap();
assert_eq!(error.error().unwrap().unwrap().message, "failed");
let invalid: RetrievalAgentEvent = serde_json::from_value(json!({
"type":"tool_call"
}))
.unwrap();
assert!(invalid.tool_call().is_err());
}
#[test]
fn conversation_history_response_is_strongly_typed() {
let response: AgentConversationResponse = serde_json::from_value(json!({
"conversation_id":"conversation-1",
"agent_id":"slides_glm_agent",
"choices":[{"message":[{"role":"assistant","content":[{
"type":"file_url","tag_cn":"演示文稿","tag_en":"slides","file_url":"https://example.com/slides.pptx"
}]}]}]
}))
.unwrap();
let content = &response.choices[0].message[0].content[0];
assert_eq!(content.kind, "file_url");
assert_eq!(content.tag_en.as_deref(), Some("slides"));
}
#[test]
fn persona_builds_deterministic_prompt() {
let prompt = manifest().persona.system_prompt().unwrap();
assert!(prompt.contains("Identity: Lin"));
assert!(prompt.contains("Role: technical companion"));
assert!(prompt.contains("Boundaries: Do not invent tool results"));
}
#[test]
fn manifest_round_trip_contains_reference_but_no_secret() {
let zhipu_manifest = manifest();
let json = zhipu_manifest.to_json().unwrap();
assert!(json.contains("ZHIPU_API_KEY"));
assert!(!json.contains("key.secret"));
assert_eq!(AgentManifest::from_json(&json).unwrap(), zhipu_manifest);
assert!(
zhipu_manifest
.build_provider(&StaticResolver("key.secret".into()))
.is_ok()
);
let compatible = AgentProviderDeployment::openai_compatible(
"deepseek",
"https://api.example.com/v1",
"DEEPSEEK_API_KEY",
);
let compatible_manifest = manifest().provider(compatible);
assert!(compatible_manifest.validate().is_ok());
assert!(
compatible_manifest
.build_provider(&StaticResolver("token".into()))
.is_ok()
);
assert!(
EnvironmentSecretResolver
.resolve(&CredentialReference::new(
"RUSTGLM_TEST_MISSING_CREDENTIAL_9F2A"
))
.is_err()
);
}
#[test]
fn rejects_invalid_manifests_and_duplicate_tools() {
let mut invalid = manifest();
invalid.max_steps = 0;
assert!(invalid.validate().is_err());
let provider = Arc::new(MockProvider {
responses: Mutex::new(VecDeque::new()),
requests: Mutex::new(Vec::new()),
});
let mut runtime = AgentRuntime::new(provider, manifest()).unwrap();
runtime.register_tool(EchoTool).unwrap();
assert!(runtime.register_tool(EchoTool).is_err());
assert!(runtime.register_tool(EmptyNameTool).is_err());
let mut invalid = manifest();
invalid.version = 2;
assert!(invalid.validate().is_err());
let mut invalid = manifest();
invalid.model.clear();
assert!(invalid.validate().is_err());
let mut invalid = manifest();
invalid.temperature = 1.1;
assert!(invalid.validate().is_err());
let mut invalid = manifest();
invalid.history = AgentHistoryPolicy::Recent { max_messages: 0 };
assert!(invalid.validate().is_err());
assert!(AgentManifest::from_json("not json").is_err());
assert!(AgentPersona::default().system_prompt().is_err());
}
#[tokio::test]
async fn runtime_executes_tools_and_retains_history() {
let provider = Arc::new(MockProvider {
responses: Mutex::new(VecDeque::from([
response(None, vec![tool_call()]),
response(Some("done"), Vec::new()),
])),
requests: Mutex::new(Vec::new()),
});
let mut runtime = AgentRuntime::new(provider.clone(), manifest()).unwrap();
runtime.register_tool(EchoTool).unwrap();
let result = runtime.run("hello").await.unwrap();
assert_eq!(result.response.text(), Some("done"));
assert_eq!(result.model_steps, 2);
assert_eq!(result.tool_executions[0].output, json!({"echoed":"hello"}));
assert_eq!(runtime.history().len(), 2);
let requests = provider.requests.lock().unwrap();
assert_eq!(requests.len(), 2);
assert_eq!(requests[1].messages.last().unwrap().role, MessageRole::Tool);
}
#[tokio::test]
async fn runtime_enforces_step_limit_and_tool_validation() {
let mut limited = manifest();
limited.max_steps = 1;
let provider = Arc::new(MockProvider {
responses: Mutex::new(VecDeque::from([response(None, vec![tool_call()])])),
requests: Mutex::new(Vec::new()),
});
let mut runtime = AgentRuntime::new(provider, limited).unwrap();
runtime.register_tool(EchoTool).unwrap();
assert!(matches!(
runtime.run("hello").await,
Err(SdkError::Agent(_))
));
let provider = Arc::new(MockProvider {
responses: Mutex::new(VecDeque::from([response(None, vec![tool_call()])])),
requests: Mutex::new(Vec::new()),
});
let mut runtime = AgentRuntime::new(provider, manifest()).unwrap();
assert!(matches!(runtime.run("hello").await, Err(SdkError::Tool(_))));
let provider = Arc::new(MockProvider {
responses: Mutex::new(VecDeque::from([ChatCompletionResponse::default()])),
requests: Mutex::new(Vec::new()),
});
let mut runtime = AgentRuntime::new(provider, manifest()).unwrap();
assert!(matches!(
runtime.run("hello").await,
Err(SdkError::Agent(_))
));
let mut invalid_call = tool_call();
invalid_call.function.as_mut().unwrap().arguments = "not-json".into();
let provider = Arc::new(MockProvider {
responses: Mutex::new(VecDeque::from([response(None, vec![invalid_call])])),
requests: Mutex::new(Vec::new()),
});
let mut runtime = AgentRuntime::new(provider, manifest()).unwrap();
runtime.register_tool(EchoTool).unwrap();
assert!(matches!(runtime.run("hello").await, Err(SdkError::Tool(_))));
let mut missing_function = tool_call();
missing_function.function = None;
let provider = Arc::new(MockProvider {
responses: Mutex::new(VecDeque::from([response(None, vec![missing_function])])),
requests: Mutex::new(Vec::new()),
});
let mut runtime = AgentRuntime::new(provider, manifest()).unwrap();
assert!(matches!(runtime.run("hello").await, Err(SdkError::Tool(_))));
}
#[tokio::test]
async fn runtime_integrates_semantic_memory_and_clear_operations() {
let provider = Arc::new(MockProvider {
responses: Mutex::new(VecDeque::from([response(Some("answer"), Vec::new())])),
requests: Mutex::new(Vec::new()),
});
let memory = Arc::new(RecordingMemory::default());
let runtime = AgentRuntime::new(provider.clone(), manifest()).unwrap();
assert!(runtime.semantic_memory(memory.clone(), 0).is_err());
let mut runtime = AgentRuntime::new(provider.clone(), manifest())
.unwrap()
.semantic_memory(memory.clone(), 2)
.unwrap();
runtime.run("question").await.unwrap();
assert_eq!(memory.documents.lock().unwrap().len(), 1);
{
let requests = provider.requests.lock().unwrap();
assert!(requests[0].messages.iter().any(|message| {
matches!(
message.content.as_ref(),
Some(MessageContent::Text(value)) if value.contains("remembered context")
)
}));
}
runtime.clear_history();
assert!(runtime.history().is_empty());
runtime.clear_memory().await.unwrap();
assert!(memory.cleared.load(Ordering::SeqCst));
}
#[tokio::test]
async fn runtime_handles_multimodal_tool_response_content() {
let mut first = response(None, vec![tool_call()]);
first.choices[0].message.content =
Some(ResponseContent::Parts(vec![ResponseContentPart {
kind: "text".into(),
text: Some("working".into()),
extra: Map::new(),
}]));
let provider = Arc::new(MockProvider {
responses: Mutex::new(VecDeque::from([first, response(Some("done"), Vec::new())])),
requests: Mutex::new(Vec::new()),
});
let mut runtime = AgentRuntime::new(provider, manifest()).unwrap();
runtime.register_tool(EchoTool).unwrap();
assert_eq!(runtime.run("hello").await.unwrap().model_steps, 2);
}
#[test]
fn sse_decoder_handles_chunks_done_and_errors() {
let mut decoder = AgentSseDecoder::<RetrievalAgentEvent>::default();
assert!(decoder.push(b"data: {\"type\":\"ans").unwrap().is_empty());
let values = decoder
.push(b"wer\",\"data\":\"ok\"}\n\ndata: [DONE]\n\n")
.unwrap();
assert_eq!(values.len(), 1);
assert_eq!(values[0].kind, RetrievalAgentEventType::Answer);
assert!(decoder.push(b"data: {}\n\n").unwrap().is_empty());
let mut invalid = AgentSseDecoder::<RetrievalAgentEvent>::default();
assert!(invalid.push(b"data: nope\n\n").is_err());
let mut trailing = AgentSseDecoder::<RetrievalAgentEvent>::default();
trailing
.push(b"data: {\"type\":\"answer\",\"data\":\"tail\"}")
.unwrap();
assert_eq!(trailing.finish().unwrap()[0].text(), Some("tail"));
}
}