4 Commits

Author SHA1 Message Date
0841ba05a8 fix: Handle finish_reason 'length' to prevent hang when hitting max_tokens
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When the response hits the max_tokens limit, the API returns finish_reason="length".
Previously, this fell into the catch-all case which didn't emit pending items,
causing llmx to hang with "working" status.

Now:
- Handle "length" the same as "stop" - emit assistant_item and reasoning_item
- Also made catch-all case defensive: emit pending items for any unknown finish_reason

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 18:51:48 +01:00
44dc7a3bed fix: Emit pending items before Completed when stream closes gracefully
- When SSE stream closes with Ok(None), now emits pending assistant_item and reasoning_item BEFORE sending Completed event
- Previously would send Completed immediately without emitting accumulated messages, causing UI to hang with "working" state
- This fixes the hang when API returns 200 OK but SSE stream has no events
- Added debug logging for graceful stream closure

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 18:31:24 +01:00
a3ced1f246 fix: Send Completed event when stream ends without finish_reason
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- Add debug logging for finish_reason to diagnose stream completion issues
- When SSE stream ends without sending a finish_reason chunk, emit final items and Completed event
- This fixes the "working" hang when the API stream closes without proper completion signal
- Fixed duplicate max_tokens fields in test provider definitions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 18:23:12 +01:00
401b0b3935 fix: Handle empty assistant messages as turn completion
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- When the API returns an empty assistant message (content: []), treat it as turn completion signal
- This fixes the "working" hang that occurs after tool calls when the API stream ends with an empty message
- Updated parse_agent_message to return None for empty content
- Fixes issue where llmx would hang indefinitely waiting for content that never comes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 18:15:24 +01:00
3 changed files with 57 additions and 14 deletions

View File

@@ -645,7 +645,14 @@ async fn process_chat_sse<S>(
return;
}
Ok(None) => {
// Stream closed gracefully emit Completed with dummy id.
// Stream closed gracefully emit any pending items first, then Completed
debug!("Stream closed gracefully (Ok(None)), emitting pending items");
if let Some(item) = assistant_item.take() {
let _ = tx_event.send(Ok(ResponseEvent::OutputItemDone(item))).await;
}
if let Some(item) = reasoning_item.take() {
let _ = tx_event.send(Ok(ResponseEvent::OutputItemDone(item))).await;
}
let _ = tx_event
.send(Ok(ResponseEvent::Completed {
response_id: String::new(),
@@ -841,6 +848,7 @@ async fn process_chat_sse<S>(
// Emit end-of-turn when finish_reason signals completion.
if let Some(finish_reason) = choice.get("finish_reason").and_then(|v| v.as_str()) {
debug!("Received finish_reason: {}", finish_reason);
match finish_reason {
"tool_calls" if fn_call_state.active => {
// First, flush the terminal raw reasoning so UIs can finalize
@@ -859,9 +867,9 @@ async fn process_chat_sse<S>(
let _ = tx_event.send(Ok(ResponseEvent::OutputItemDone(item))).await;
}
"stop" => {
// Regular turn without tool-call. Emit the final assistant message
// as a single OutputItemDone so non-delta consumers see the result.
"stop" | "length" => {
// Regular turn without tool-call, or hit max_tokens limit.
// Emit the final assistant message as a single OutputItemDone so non-delta consumers see the result.
if let Some(item) = assistant_item.take() {
let _ = tx_event.send(Ok(ResponseEvent::OutputItemDone(item))).await;
}
@@ -870,7 +878,16 @@ async fn process_chat_sse<S>(
let _ = tx_event.send(Ok(ResponseEvent::OutputItemDone(item))).await;
}
}
_ => {}
_ => {
// Unknown finish_reason - still emit pending items to avoid hanging
debug!("Unknown finish_reason: {}, emitting pending items", finish_reason);
if let Some(item) = assistant_item.take() {
let _ = tx_event.send(Ok(ResponseEvent::OutputItemDone(item))).await;
}
if let Some(item) = reasoning_item.take() {
let _ = tx_event.send(Ok(ResponseEvent::OutputItemDone(item))).await;
}
}
}
// Emit Completed regardless of reason so the agent can advance.
@@ -888,6 +905,22 @@ async fn process_chat_sse<S>(
}
}
}
// Stream ended without finish_reason - this can happen when the stream closes abruptly
debug!("Stream ended without finish_reason, emitting final items and Completed event");
if let Some(item) = assistant_item.take() {
let _ = tx_event.send(Ok(ResponseEvent::OutputItemDone(item))).await;
}
if let Some(item) = reasoning_item.take() {
let _ = tx_event.send(Ok(ResponseEvent::OutputItemDone(item))).await;
}
// Send Completed event so llmx knows the turn is done
let _ = tx_event
.send(Ok(ResponseEvent::Completed {
response_id: String::new(),
token_usage: token_usage.clone(),
}))
.await;
}
/// Optional client-side aggregation helper

View File

@@ -54,7 +54,7 @@ fn parse_user_message(message: &[ContentItem]) -> Option<UserMessageItem> {
Some(UserMessageItem::new(&content))
}
fn parse_agent_message(id: Option<&String>, message: &[ContentItem]) -> AgentMessageItem {
fn parse_agent_message(id: Option<&String>, message: &[ContentItem]) -> Option<AgentMessageItem> {
let mut content: Vec<AgentMessageContent> = Vec::new();
for content_item in message.iter() {
match content_item {
@@ -69,18 +69,23 @@ fn parse_agent_message(id: Option<&String>, message: &[ContentItem]) -> AgentMes
}
}
}
// If the message has no content, return None to signal turn completion
// This happens when the API ends a turn with an empty assistant message (e.g., after tool calls)
if content.is_empty() {
return None;
}
let id = id.cloned().unwrap_or_else(|| Uuid::new_v4().to_string());
AgentMessageItem { id, content }
Some(AgentMessageItem { id, content })
}
pub fn parse_turn_item(item: &ResponseItem) -> Option<TurnItem> {
match item {
ResponseItem::Message { role, content, id } => match role.as_str() {
"user" => parse_user_message(content).map(TurnItem::UserMessage),
"assistant" => Some(TurnItem::AgentMessage(parse_agent_message(
id.as_ref(),
content,
))),
"assistant" => parse_agent_message(id.as_ref(), content)
.map(TurnItem::AgentMessage),
"system" => None,
_ => None,
},

View File

@@ -294,7 +294,7 @@ pub fn built_in_model_providers() -> HashMap<String, ModelProviderInfo> {
request_max_retries: None,
stream_max_retries: None,
stream_idle_timeout_ms: None,
max_tokens: None,
max_tokens: None,
requires_openai_auth: false,
},
),
@@ -335,7 +335,7 @@ pub fn built_in_model_providers() -> HashMap<String, ModelProviderInfo> {
request_max_retries: None,
stream_max_retries: None,
stream_idle_timeout_ms: None,
max_tokens: None,
max_tokens: None,
requires_openai_auth: true,
},
),
@@ -381,7 +381,7 @@ pub fn create_oss_provider_with_base_url(base_url: &str) -> ModelProviderInfo {
request_max_retries: None,
stream_max_retries: None,
stream_idle_timeout_ms: None,
max_tokens: None,
max_tokens: None,
requires_openai_auth: false,
}
}
@@ -422,6 +422,7 @@ base_url = "http://localhost:11434/v1"
request_max_retries: None,
stream_max_retries: None,
stream_idle_timeout_ms: None,
max_tokens: None,
requires_openai_auth: false,
};
@@ -452,6 +453,7 @@ query_params = { api-version = "2025-04-01-preview" }
request_max_retries: None,
stream_max_retries: None,
stream_idle_timeout_ms: None,
max_tokens: None,
requires_openai_auth: false,
};
@@ -485,6 +487,7 @@ env_http_headers = { "X-Example-Env-Header" = "EXAMPLE_ENV_VAR" }
request_max_retries: None,
stream_max_retries: None,
stream_idle_timeout_ms: None,
max_tokens: None,
requires_openai_auth: false,
};
@@ -508,6 +511,7 @@ env_http_headers = { "X-Example-Env-Header" = "EXAMPLE_ENV_VAR" }
request_max_retries: None,
stream_max_retries: None,
stream_idle_timeout_ms: None,
max_tokens: None,
requires_openai_auth: false,
}
}
@@ -541,6 +545,7 @@ env_http_headers = { "X-Example-Env-Header" = "EXAMPLE_ENV_VAR" }
request_max_retries: None,
stream_max_retries: None,
stream_idle_timeout_ms: None,
max_tokens: None,
requires_openai_auth: false,
};
assert!(named_provider.is_azure_responses_endpoint());