fix(ai): sanitize empty Read pages for Claude tools

This commit is contained in:
hemo94931
2026-05-25 21:01:10 +08:00
parent 686311eabf
commit 495795327c
6 changed files with 463 additions and 148 deletions
@@ -410,6 +410,7 @@ enum ClaudeOpenBlock {
struct ClaudeClientToolState {
call_id: String,
name: String,
buffered_arguments: String,
}
#[derive(Default)]
@@ -460,18 +461,47 @@ impl ClaudeClientEmitter {
let Some(open_block) = self.open_block.take() else {
return Ok(Vec::new());
};
let mut out = Vec::new();
let block_index = match open_block {
ClaudeOpenBlock::Text { block_index } => block_index,
ClaudeOpenBlock::Thinking { block_index } => block_index,
ClaudeOpenBlock::Tool { block_index, .. } => block_index,
ClaudeOpenBlock::Tool {
tool_index,
block_index,
} => {
if let Some(state) = self.tool_states.get_mut(&tool_index) {
if state.name == "Read" && !state.buffered_arguments.is_empty() {
let arguments = remove_empty_pages_from_tool_arguments(
&state.name,
&state.buffered_arguments,
);
state.buffered_arguments.clear();
if !arguments.is_empty() {
out.extend(encode_json_sse(
Some("content_block_delta"),
&json!({
"type": "content_block_delta",
"index": block_index,
"delta": {
"type": "input_json_delta",
"partial_json": arguments,
}
}),
)?);
}
}
}
block_index
}
};
encode_json_sse(
out.extend(encode_json_sse(
Some("content_block_stop"),
&json!({
"type": "content_block_stop",
"index": block_index,
}),
)
)?);
Ok(out)
}
fn ensure_text_block(&mut self) -> Result<Vec<u8>, AiSurfaceFinalizeError> {
@@ -688,23 +718,33 @@ impl ClaudeClientEmitter {
Ok(out)
}
CanonicalStreamEvent::ToolCallArgumentsDelta { index, arguments } => {
let arguments = remove_empty_pages_from_tool_arguments(&arguments);
let (call_id, name) = {
let state = self.tool_states.entry(index).or_default();
let call_id = if state.call_id.is_empty() {
format!("tool_{index}")
} else {
state.call_id.clone()
};
let name = if state.name.is_empty() {
"unknown".to_string()
} else {
state.name.clone()
};
(call_id, name)
};
if arguments.is_empty() {
return Ok(Vec::new());
}
let mut out = self.ensure_started()?;
let state = self.tool_states.entry(index).or_default();
let call_id = if state.call_id.is_empty() {
format!("tool_{index}")
} else {
state.call_id.clone()
};
let name = if state.name.is_empty() {
"unknown".to_string()
} else {
state.name.clone()
};
out.extend(self.ensure_tool_block(index, &call_id, &name)?);
if name == "Read" {
self.tool_states
.entry(index)
.or_default()
.buffered_arguments
.push_str(&arguments);
return Ok(out);
}
let block_index = match self.open_block {
Some(ClaudeOpenBlock::Tool { block_index, .. }) => block_index,
_ => return Ok(out),
@@ -1230,7 +1270,7 @@ mod tests {
}
#[test]
fn claude_client_emitter_removes_empty_pages_from_tool_arguments() {
fn claude_client_emitter_removes_empty_pages_from_read_tool_arguments() {
let mut emitter = ClaudeClientEmitter::default();
let mut bytes = emitter
.emit(CanonicalStreamFrame {
@@ -1257,11 +1297,60 @@ mod tests {
.expect("tool delta should encode"),
);
let pending_sse = String::from_utf8(bytes.clone()).expect("sse should be utf8");
assert!(!pending_sse.contains("\\\"pages\\\":\\\"\\\""));
bytes.extend(
emitter
.emit(CanonicalStreamFrame {
id: "msg_123".to_string(),
model: "claude-sonnet-4-5".to_string(),
event: CanonicalStreamEvent::Finish {
finish_reason: Some("tool_calls".to_string()),
usage: None,
},
})
.expect("finish should close read tool block"),
);
let sse = String::from_utf8(bytes).expect("sse should be utf8");
assert!(sse.contains("\"partial_json\":\"{\\\"file_path\\\":\\\"/tmp/a.txt\\\",\\\"offset\\\":1,\\\"limit\\\":20}\""));
assert!(!sse.contains("\\\"pages\\\":\\\"\\\""));
}
#[test]
fn claude_client_emitter_preserves_empty_pages_for_other_tool_arguments() {
let mut emitter = ClaudeClientEmitter::default();
let mut bytes = emitter
.emit(CanonicalStreamFrame {
id: "msg_123".to_string(),
model: "claude-sonnet-4-5".to_string(),
event: CanonicalStreamEvent::ToolCallStart {
index: 0,
call_id: "toolu_search".to_string(),
name: "Search".to_string(),
},
})
.expect("tool start should encode");
bytes.extend(
emitter
.emit(CanonicalStreamFrame {
id: "msg_123".to_string(),
model: "claude-sonnet-4-5".to_string(),
event: CanonicalStreamEvent::ToolCallArgumentsDelta {
index: 0,
arguments: r#"{"query":"","pages":""}"#.to_string(),
},
})
.expect("tool delta should encode"),
);
let sse = String::from_utf8(bytes).expect("sse should be utf8");
assert!(
sse.contains("\"partial_json\":\"{\\\"query\\\":\\\"\\\",\\\"pages\\\":\\\"\\\"}\"")
);
}
#[test]
fn claude_client_emitter_injects_default_usage_into_finish_events() {
let mut emitter = ClaudeClientEmitter::default();
@@ -29,6 +29,7 @@ struct OpenAIResponsesProviderToolState {
call_id: String,
name: String,
arguments: String,
emitted_arguments_len: usize,
started_emitted: bool,
}
@@ -510,6 +511,74 @@ impl OpenAIResponsesProviderState {
});
}
fn emit_ready_tool_call(
&mut self,
report_context: &Value,
out: &mut Vec<CanonicalStreamFrame>,
index: usize,
) {
let (id, model) = self.identity(report_context);
let Some(state) = self.tool_calls.get_mut(&index) else {
return;
};
if state.name.is_empty() {
return;
}
if !state.started_emitted {
out.push(CanonicalStreamFrame {
id: id.clone(),
model: model.clone(),
event: CanonicalStreamEvent::ToolCallStart {
index,
call_id: if state.call_id.is_empty() {
build_generated_tool_call_id(index)
} else {
state.call_id.clone()
},
name: state.name.clone(),
},
});
state.started_emitted = true;
}
if state.emitted_arguments_len > state.arguments.len() {
state.emitted_arguments_len = 0;
}
let pending = state
.arguments
.get(state.emitted_arguments_len..)
.unwrap_or_default()
.to_string();
if pending.is_empty() {
return;
}
state.emitted_arguments_len = state.arguments.len();
out.push(CanonicalStreamFrame {
id,
model,
event: CanonicalStreamEvent::ToolCallArgumentsDelta {
index,
arguments: pending,
},
});
}
fn merge_tool_call_arguments(state: &mut OpenAIResponsesProviderToolState, arguments: &str) {
if arguments.is_empty() {
return;
}
if arguments.starts_with(&state.arguments) {
state
.arguments
.push_str(&arguments[state.arguments.len()..]);
} else if state.arguments != arguments {
if state.emitted_arguments_len == 0 {
state.arguments = arguments.to_string();
} else {
state.arguments.push_str(arguments);
}
}
}
fn emit_tool_call_item(
&mut self,
report_context: &Value,
@@ -527,7 +596,6 @@ impl OpenAIResponsesProviderState {
.and_then(Value::as_str)
.map(ToOwned::to_owned);
let index = self.tool_index_for_key(key, output_index);
let (id, model) = self.identity(report_context);
let state = self.tool_calls.entry(index).or_default();
state.call_id = item
.get("call_id")
@@ -540,50 +608,13 @@ impl OpenAIResponsesProviderState {
.and_then(Value::as_str)
.unwrap_or(state.name.as_str())
.to_string();
if !state.started_emitted {
out.push(CanonicalStreamFrame {
id: id.clone(),
model: model.clone(),
event: CanonicalStreamEvent::ToolCallStart {
index,
call_id: if state.call_id.is_empty() {
build_generated_tool_call_id(index)
} else {
state.call_id.clone()
},
name: if state.name.is_empty() {
"unknown".to_string()
} else {
state.name.clone()
},
},
});
state.started_emitted = true;
}
let completed_arguments = item
.get("arguments")
.and_then(Value::as_str)
.unwrap_or_default()
.to_string();
let missing = if completed_arguments.starts_with(&state.arguments) {
completed_arguments[state.arguments.len()..].to_string()
} else if state.arguments == completed_arguments {
String::new()
} else {
completed_arguments.clone()
};
if missing.is_empty() {
return;
}
state.arguments.push_str(&missing);
out.push(CanonicalStreamFrame {
id,
model,
event: CanonicalStreamEvent::ToolCallArgumentsDelta {
index,
arguments: missing,
},
});
Self::merge_tool_call_arguments(state, &completed_arguments);
self.emit_ready_tool_call(report_context, out, index);
}
fn emit_missing_tool_result(
@@ -978,44 +1009,22 @@ impl OpenAIResponsesProviderState {
.and_then(Value::as_u64)
.map(|value| value as usize);
let index = self.tool_index_for_key(key, output_index);
let (id, model) = self.identity(report_context);
let state = self.tool_calls.entry(index).or_default();
state.call_id = value
.get("item_id")
.or_else(|| value.get("call_id"))
if let Some(call_id) = value
.get("call_id")
.or_else(|| value.get("id"))
.and_then(Value::as_str)
.unwrap_or(state.call_id.as_str())
.to_string();
if !state.started_emitted {
out.push(CanonicalStreamFrame {
id: id.clone(),
model: model.clone(),
event: CanonicalStreamEvent::ToolCallStart {
index,
call_id: if state.call_id.is_empty() {
build_generated_tool_call_id(index)
} else {
state.call_id.clone()
},
name: if state.name.is_empty() {
"unknown".to_string()
} else {
state.name.clone()
},
},
});
state.started_emitted = true;
{
state.call_id = call_id.to_string();
} else if state.call_id.is_empty() {
state.call_id = value
.get("item_id")
.and_then(Value::as_str)
.unwrap_or_default()
.to_string();
}
state.arguments.push_str(delta);
out.push(CanonicalStreamFrame {
id,
model,
event: CanonicalStreamEvent::ToolCallArgumentsDelta {
index,
arguments: delta.to_string(),
},
});
self.emit_ready_tool_call(report_context, &mut out, index);
}
"response.function_call_arguments.done" => {
let arguments = value
@@ -1029,9 +1038,6 @@ impl OpenAIResponsesProviderState {
.and_then(Value::as_str)
})
.unwrap_or_default();
if arguments.is_empty() {
return Ok(out);
}
self.ensure_started(report_context, &mut out);
let key = value
.get("item_id")
@@ -1052,11 +1058,9 @@ impl OpenAIResponsesProviderState {
.and_then(Value::as_u64)
.map(|value| value as usize);
let index = self.tool_index_for_key(key, output_index);
let (id, model) = self.identity(report_context);
let state = self.tool_calls.entry(index).or_default();
state.call_id = value
.get("item_id")
.or_else(|| value.get("call_id"))
.get("call_id")
.or_else(|| value.get("id"))
.and_then(Value::as_str)
.or_else(|| {
@@ -1066,46 +1070,23 @@ impl OpenAIResponsesProviderState {
.and_then(|item| item.get("call_id").or_else(|| item.get("id")))
.and_then(Value::as_str)
})
.or_else(|| value.get("item_id").and_then(Value::as_str))
.unwrap_or(state.call_id.as_str())
.to_string();
if !state.started_emitted {
out.push(CanonicalStreamFrame {
id: id.clone(),
model: model.clone(),
event: CanonicalStreamEvent::ToolCallStart {
index,
call_id: if state.call_id.is_empty() {
build_generated_tool_call_id(index)
} else {
state.call_id.clone()
},
name: if state.name.is_empty() {
"unknown".to_string()
} else {
state.name.clone()
},
},
});
state.started_emitted = true;
}
let missing = if arguments.starts_with(&state.arguments) {
arguments[state.arguments.len()..].to_string()
} else if state.arguments == arguments {
String::new()
} else {
arguments.to_string()
};
if !missing.is_empty() {
state.arguments.push_str(&missing);
out.push(CanonicalStreamFrame {
id,
model,
event: CanonicalStreamEvent::ToolCallArgumentsDelta {
index,
arguments: missing,
},
});
}
state.name = value
.get("name")
.and_then(Value::as_str)
.or_else(|| {
value
.get("item")
.and_then(Value::as_object)
.and_then(|item| item.get("name"))
.and_then(Value::as_str)
})
.unwrap_or(state.name.as_str())
.to_string();
Self::merge_tool_call_arguments(state, arguments);
self.emit_ready_tool_call(report_context, &mut out, index);
}
"response.function_call_output.delta" | "response.function_call_output.done" => {
let tool_use_id = value
@@ -2661,6 +2642,7 @@ fn openai_tool_result_content_from_value(value: Option<&Value>) -> String {
#[cfg(test)]
mod tests {
use super::*;
use crate::formats::claude::messages::stream::ClaudeClientEmitter;
fn data_line(value: Value) -> Vec<u8> {
format!("data: {}\n", value).into_bytes()
@@ -3176,6 +3158,91 @@ mod tests {
)));
}
#[test]
fn openai_responses_provider_state_delays_arguments_until_tool_name_is_known() {
let mut state = OpenAIResponsesProviderState::default();
let report_context = json!({});
let arguments = r#"{"file_path":"D:/projects/UIAutoTest/docs/prd/msr.md","offset":0,"limit":2000,"pages":""}"#;
let mut frames = Vec::new();
let delta_frames = state
.push_line(
&report_context,
data_line(json!({
"type": "response.function_call_arguments.delta",
"response_id": "resp_read_123",
"output_index": 0,
"item_id": "fc_read_123",
"delta": arguments,
})),
)
.expect("arguments delta should parse");
assert!(matches!(
delta_frames.first().map(|frame| &frame.event),
Some(CanonicalStreamEvent::Start)
));
assert!(!delta_frames.iter().any(|frame| matches!(
frame.event,
CanonicalStreamEvent::ToolCallStart { .. }
| CanonicalStreamEvent::ToolCallArgumentsDelta { .. }
)));
frames.extend(delta_frames);
frames.extend(
state
.push_line(
&report_context,
data_line(json!({
"type": "response.function_call_arguments.done",
"response_id": "resp_read_123",
"output_index": 0,
"item_id": "fc_read_123",
"item": {
"type": "function_call",
"id": "fc_read_123",
"call_id": "call_read_123",
"name": "Read",
"arguments": arguments,
}
})),
)
.expect("arguments done should parse"),
);
assert!(frames.iter().any(|frame| matches!(
frame.event,
CanonicalStreamEvent::ToolCallStart {
ref call_id,
ref name,
..
} if call_id == "call_read_123" && name == "Read"
)));
assert!(frames.iter().any(|frame| matches!(
frame.event,
CanonicalStreamEvent::ToolCallArgumentsDelta {
ref arguments,
..
} if arguments.contains(r#""pages":"""#)
)));
let mut emitter = ClaudeClientEmitter::default();
let mut bytes = Vec::new();
for frame in frames {
bytes.extend(emitter.emit(frame).expect("claude frame should encode"));
}
bytes.extend(
emitter
.finish()
.expect("claude stream finish should encode"),
);
let sse = String::from_utf8(bytes).expect("claude sse should be utf8");
assert!(sse.contains("\"name\":\"Read\""));
assert!(sse.contains("\\\"limit\\\":2000"));
assert!(!sse.contains("\\\"pages\\\":\\\"\\\""));
}
#[test]
fn openai_responses_provider_state_parses_function_call_output_as_tool_result() {
let mut state = OpenAIResponsesProviderState::default();
@@ -29,7 +29,10 @@ pub fn canonicalize_tool_arguments(value: Option<Value>) -> String {
}
}
pub fn remove_empty_pages_from_tool_arguments(arguments: &str) -> String {
pub fn remove_empty_pages_from_tool_arguments(tool_name: &str, arguments: &str) -> String {
if tool_name != "Read" {
return arguments.to_string();
}
let Ok(mut value) = serde_json::from_str::<Value>(arguments) else {
return arguments.to_string();
};
@@ -153,16 +156,21 @@ mod tests {
fn removes_empty_pages_from_tool_arguments() {
assert_eq!(
remove_empty_pages_from_tool_arguments(
"Read",
r#"{"file_path":"/tmp/a.txt","offset":1,"limit":20,"pages":""}"#
),
r#"{"file_path":"/tmp/a.txt","offset":1,"limit":20}"#
);
assert_eq!(
remove_empty_pages_from_tool_arguments(r#"{"pages":"1-2"}"#),
remove_empty_pages_from_tool_arguments("Search", r#"{"query":"","pages":""}"#),
r#"{"query":"","pages":""}"#
);
assert_eq!(
remove_empty_pages_from_tool_arguments("Read", r#"{"pages":"1-2"}"#),
r#"{"pages":"1-2"}"#
);
assert_eq!(
remove_empty_pages_from_tool_arguments(r#"{"pages":"#),
remove_empty_pages_from_tool_arguments("Read", r#"{"pages":"#),
r#"{"pages":"#
);
}
@@ -2531,7 +2531,12 @@ pub fn aggregate_claude_stream_sync_response(body: &[u8]) -> Option<Value> {
}
"tool_use" => {
if !state.partial_json.is_empty() {
let arguments = remove_empty_pages_from_tool_arguments(&state.partial_json);
let tool_name = block
.get("name")
.and_then(Value::as_str)
.unwrap_or_default();
let arguments =
remove_empty_pages_from_tool_arguments(tool_name, &state.partial_json);
let input = serde_json::from_str::<Value>(&arguments)
.unwrap_or(Value::String(arguments));
block.insert("input".to_string(), input);
@@ -3114,6 +3119,34 @@ mod tests {
);
}
#[test]
fn aggregates_claude_stream_preserves_empty_pages_for_non_read_tool_input() {
let body = concat!(
"event: message_start\n",
"data: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_123\",\"type\":\"message\",\"role\":\"assistant\",\"model\":\"claude-sonnet-4-5\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null}}\n\n",
"event: content_block_start\n",
"data: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"toolu_search\",\"name\":\"Search\",\"input\":{}}}\n\n",
"event: content_block_delta\n",
"data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"query\\\":\\\"\\\",\\\"pages\\\":\\\"\\\"}\"}}\n\n",
"event: content_block_stop\n",
"data: {\"type\":\"content_block_stop\",\"index\":0}\n\n",
"event: message_stop\n",
"data: {\"type\":\"message_stop\"}\n\n",
);
let aggregated =
aggregate_claude_stream_sync_response(body.as_bytes()).expect("body should aggregate");
assert_eq!(aggregated["content"][0]["type"], "tool_use");
assert_eq!(
aggregated["content"][0]["input"],
json!({
"query": "",
"pages": "",
})
);
}
#[test]
fn aggregates_gemini_stream_deltas_media_and_signatures_into_sync_body() {
let body = concat!(
@@ -667,16 +667,17 @@ fn maybe_bridge_aether_sse_response_capture_to_stream(
captured_api_format.as_str(),
client_api_format,
);
let sse_body = if captured_api_format == client_api_format {
body_text.as_bytes().to_vec()
} else {
rewrite_sse_body_between_formats(
body_text.as_bytes(),
captured_api_format.as_str(),
client_api_format,
&bridge_context,
)?
};
let sse_body =
if captured_api_format == client_api_format && captured_api_format != "claude:messages" {
body_text.as_bytes().to_vec()
} else {
rewrite_sse_body_between_formats(
body_text.as_bytes(),
captured_api_format.as_str(),
client_api_format,
&bridge_context,
)?
};
let terminal_summary = observe_sse_terminal_summary(
body_text.as_bytes(),
captured_api_format.as_str(),
@@ -1349,6 +1350,42 @@ mod tests {
);
}
#[test]
fn rewrites_same_format_claude_capture_to_sanitize_read_tool_input() {
let captured_body = concat!(
"event: message_start\n",
"data: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_read_1\",\"type\":\"message\",\"role\":\"assistant\",\"model\":\"gpt-5.5\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0}}}\n\n",
"event: content_block_start\n",
"data: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_read_1\",\"name\":\"Read\",\"input\":{\"file_path\":\"D:/projects/UIAutoTest/docs/prd/msr.md\",\"offset\":0,\"limit\":2000,\"pages\":\"\"}}}\n\n",
"event: content_block_stop\n",
"data: {\"type\":\"content_block_stop\",\"index\":0}\n\n",
"event: message_delta\n",
"data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":1,\"output_tokens\":2}}\n\n",
"event: message_stop\n",
"data: {\"type\":\"message_stop\"}\n\n",
);
let outcome = maybe_bridge_standard_sync_json_to_stream(
&json!({
"status_code": 200,
"headers": {
"content-type": "text/event-stream",
"x-aether-control-endpoint-signature": "claude:messages"
},
"body": captured_body
}),
"openai:responses",
"claude:messages",
None,
)
.expect("bridge should succeed")
.expect("capture should bridge");
let output = utf8(outcome.sse_body);
assert!(output.contains("\"name\":\"Read\""));
assert!(output.contains("\\\"limit\\\":2000"));
assert!(!output.contains("\\\"pages\\\":\\\"\\\""));
}
#[test]
fn rewrites_aether_sse_response_capture_to_requested_client_stream() {
let captured_body = concat!(
@@ -3825,6 +3825,7 @@ pub(crate) fn canonical_block_to_claude(
input,
extensions,
} => {
let input = claude_tool_use_input_without_empty_read_pages(name, input);
let mut out = Map::new();
out.insert("type".to_string(), Value::String("tool_use".to_string()));
out.insert(
@@ -3832,7 +3833,7 @@ pub(crate) fn canonical_block_to_claude(
Value::String(claude_compatible_tool_use_id(id)),
);
out.insert("name".to_string(), Value::String(name.clone()));
out.insert("input".to_string(), input.clone());
out.insert("input".to_string(), input);
out.extend(namespace_extension_object(extensions, "claude", &out));
Some(Some(Value::Object(out)))
}
@@ -3867,6 +3868,18 @@ pub(crate) fn canonical_block_to_claude(
}
}
fn claude_tool_use_input_without_empty_read_pages(name: &str, input: &Value) -> Value {
if name != "Read" || input.get("pages").and_then(Value::as_str) != Some("") {
return input.clone();
}
let Some(object) = input.as_object() else {
return input.clone();
};
let mut object = object.clone();
object.remove("pages");
Value::Object(object)
}
fn canonical_tool_result_content_to_claude(
output: Option<&Value>,
content_text: Option<&str>,
@@ -5596,6 +5609,74 @@ mod tests {
assert_eq!(rebuilt["service_tier"], "flex");
}
#[test]
fn openai_responses_to_claude_response_drops_empty_pages_only_for_read_tool() {
let response = json!({
"id": "resp_read_pages",
"object": "response",
"status": "completed",
"model": "gpt-5.5",
"output": [
{
"type": "function_call",
"id": "call_read",
"call_id": "call_read",
"name": "Read",
"arguments": "{\"file_path\":\"/tmp/a.txt\",\"offset\":0,\"limit\":20,\"pages\":\"\"}"
},
{
"type": "function_call",
"id": "call_search",
"call_id": "call_search",
"name": "Search",
"arguments": "{\"query\":\"\",\"pages\":\"\"}"
}
],
"usage": {
"input_tokens": 1,
"output_tokens": 1,
"total_tokens": 2
}
});
let canonical =
from_openai_responses_to_canonical_response(&response).expect("canonical response");
let claude = canonical_to_claude_response(&canonical);
assert_eq!(
claude["content"][0]["input"],
json!({
"file_path": "/tmp/a.txt",
"offset": 0,
"limit": 20,
})
);
assert_eq!(
claude["content"][1]["input"],
json!({
"query": "",
"pages": "",
})
);
let rebuilt_responses = canonical_to_openai_responses_response(&canonical, &json!({}));
let read_arguments = serde_json::from_str::<Value>(
rebuilt_responses["output"][0]["arguments"]
.as_str()
.expect("arguments should be a string"),
)
.expect("arguments should be json");
assert_eq!(
read_arguments,
json!({
"file_path": "/tmp/a.txt",
"offset": 0,
"limit": 20,
"pages": "",
})
);
}
#[test]
fn openai_responses_image_generation_call_becomes_canonical_image_block() {
let response = json!({