fix(provider): preserve reasoning and Claude tool results in responses conversion

This commit is contained in:
zhefox
2026-06-02 09:04:55 +08:00
parent 98dc5925a5
commit 0daa8c196b
3 changed files with 593 additions and 83 deletions
@@ -1,11 +1,13 @@
use std::collections::BTreeMap;
use serde_json::{json, Map, Value};
use crate::{
formats::context::FormatContext,
formats::openai::shared::map_thinking_budget_to_openai_reasoning_effort,
protocol::canonical::{
canonical_response_format_to_openai, canonicalize_tool_arguments, media_data_or_url,
namespace_extension_object, openai_content_text, openai_extensions,
canonical_response_format_to_openai, canonicalize_tool_arguments, is_claude_tool_result,
media_data_or_url, namespace_extension_object, openai_content_text, openai_extensions,
openai_response_format_to_canonical, openai_responses_extension,
openai_responses_generation_config, openai_responses_input_to_canonical_messages,
openai_responses_tool_choice_to_canonical, openai_responses_tools_to_canonical,
@@ -223,6 +225,7 @@ fn canonical_messages_to_responses_input(canonical: &CanonicalRequest) -> Option
CanonicalRole::System | CanonicalRole::Developer => continue,
};
let mut content = Vec::new();
let mut saw_tool_item = false;
for block in &message.content {
match block {
CanonicalContentBlock::ToolUse {
@@ -232,6 +235,7 @@ fn canonical_messages_to_responses_input(canonical: &CanonicalRequest) -> Option
..
} => {
flush_responses_message(&mut input, role, &mut content);
saw_tool_item = true;
input.push(json!({
"type": "function_call",
"call_id": id,
@@ -243,16 +247,37 @@ fn canonical_messages_to_responses_input(canonical: &CanonicalRequest) -> Option
tool_use_id,
output,
content_text,
extensions,
..
} => {
flush_responses_message(&mut input, role, &mut content);
saw_tool_item = true;
let (tool_output, extra_user_content) = responses_tool_result_payload(
output.as_ref(),
content_text.as_deref(),
extensions,
);
input.push(json!({
"type": "function_call_output",
"call_id": tool_use_id,
"output": responses_tool_result_output(output.as_ref(), content_text.as_deref()),
"output": tool_output,
}));
if !extra_user_content.is_empty() {
input.push(json!({
"type": "message",
"role": "user",
"content": extra_user_content,
}));
}
}
CanonicalContentBlock::Thinking { text, .. } => {
if role == "assistant" && !text.trim().is_empty() {
content.push(json!({
"type": "output_text",
"text": format!("<thinking>{text}</thinking>"),
}));
}
}
CanonicalContentBlock::Thinking { .. } => {}
other => {
if let Some(part) = canonical_block_to_responses_input_part(other, role) {
content.push(part);
@@ -260,6 +285,25 @@ fn canonical_messages_to_responses_input(canonical: &CanonicalRequest) -> Option
}
}
}
if content.is_empty() && !saw_tool_item {
if role == "assistant" {
input.push(json!({
"type": "message",
"role": role,
"content": [{
"type": "output_text",
"text": "",
}],
}));
} else {
input.push(json!({
"type": "message",
"role": role,
"content": "",
}));
}
continue;
}
flush_responses_message(&mut input, role, &mut content);
}
Some(input)
@@ -535,13 +579,169 @@ fn canonical_tool_choice_to_responses(choice: &CanonicalToolChoice) -> Value {
}
}
fn responses_tool_result_payload(
output: Option<&Value>,
content_text: Option<&str>,
extensions: &BTreeMap<String, Value>,
) -> (Value, Vec<Value>) {
if is_claude_tool_result(extensions) {
if let Some(Value::Array(parts)) = output {
return claude_tool_result_parts_to_responses_payload(parts);
}
}
(
responses_tool_result_output(output, content_text),
Vec::new(),
)
}
fn responses_tool_result_output(output: Option<&Value>, content_text: Option<&str>) -> Value {
match output {
Some(Value::String(text)) => Value::String(text.clone()),
Some(value) => serde_json::to_string(value)
.map(Value::String)
.unwrap_or_else(|_| Value::String(String::new())),
None => Value::String(content_text.unwrap_or_default().to_string()),
let text = match output {
Some(Value::String(text)) => text.clone(),
Some(Value::Null) => String::new(),
Some(value) => serde_json::to_string(value).unwrap_or_default(),
None => content_text.unwrap_or_default().to_string(),
};
Value::String(non_empty_responses_tool_output(&text))
}
fn claude_tool_result_parts_to_responses_payload(parts: &[Value]) -> (Value, Vec<Value>) {
let mut output_texts = Vec::new();
let mut extra_user_content = Vec::new();
for part in parts {
let Some(part_object) = part.as_object() else {
output_texts.push("[Claude tool_result non-text content omitted]".to_string());
continue;
};
match part_object
.get("type")
.and_then(Value::as_str)
.unwrap_or_default()
{
"text" => {
if let Some(text) = part_object.get("text").and_then(Value::as_str) {
if !text.is_empty() {
output_texts.push(text.to_string());
}
}
}
"image" => {
if let Some(part) = claude_image_block_to_responses_input_part(part_object) {
extra_user_content.push(part);
} else {
output_texts.push(claude_tool_result_media_summary("image", part_object));
}
}
"document" | "file" => {
if let Some(part) = claude_document_block_to_responses_input_part(part_object) {
extra_user_content.push(part);
} else {
output_texts.push(claude_tool_result_media_summary("document", part_object));
}
}
"" => output_texts.push("[Claude tool_result object content omitted]".to_string()),
raw_type => {
output_texts.push(format!("[Claude tool_result {raw_type} content omitted]"))
}
}
}
(
Value::String(non_empty_responses_tool_output(&output_texts.join("\n\n"))),
extra_user_content,
)
}
fn claude_image_block_to_responses_input_part(block: &Map<String, Value>) -> Option<Value> {
let source = block.get("source")?.as_object()?;
match source
.get("type")
.and_then(Value::as_str)
.unwrap_or_default()
{
"base64" => {
let media_type = claude_source_media_type(source).unwrap_or("image/png");
let data = claude_source_str(source, "data")?;
Some(json!({
"type": "input_image",
"image_url": format!("data:{media_type};base64,{data}"),
}))
}
"url" => {
let url = claude_source_str(source, "url")?;
Some(json!({
"type": "input_image",
"image_url": url,
}))
}
_ => None,
}
}
fn claude_document_block_to_responses_input_part(block: &Map<String, Value>) -> Option<Value> {
let source = block.get("source")?.as_object()?;
let file_data = match source
.get("type")
.and_then(Value::as_str)
.unwrap_or_default()
{
"base64" => {
let media_type = claude_source_media_type(source).unwrap_or("application/octet-stream");
let data = claude_source_str(source, "data")?;
format!("data:{media_type};base64,{data}")
}
"url" => claude_source_str(source, "url")?.to_string(),
_ => return None,
};
let mut part = Map::new();
part.insert("type".to_string(), Value::String("input_file".to_string()));
part.insert("file_data".to_string(), Value::String(file_data));
if let Some(filename) = block
.get("title")
.or_else(|| block.get("name"))
.and_then(Value::as_str)
.filter(|value| !value.trim().is_empty())
{
part.insert("filename".to_string(), Value::String(filename.to_string()));
}
Some(Value::Object(part))
}
fn claude_tool_result_media_summary(kind: &str, block: &Map<String, Value>) -> String {
let media_type = block
.get("source")
.and_then(Value::as_object)
.and_then(claude_source_media_type);
match media_type {
Some(media_type) if !media_type.trim().is_empty() => {
format!("[Claude tool_result {kind} content omitted: {media_type}]")
}
_ => format!("[Claude tool_result {kind} content omitted]"),
}
}
fn claude_source_media_type(source: &Map<String, Value>) -> Option<&str> {
source
.get("media_type")
.or_else(|| source.get("mime_type"))
.and_then(Value::as_str)
.filter(|value| !value.trim().is_empty())
}
fn claude_source_str<'a>(source: &'a Map<String, Value>, key: &str) -> Option<&'a str> {
source
.get(key)
.and_then(Value::as_str)
.filter(|value| !value.trim().is_empty())
}
fn non_empty_responses_tool_output(text: &str) -> String {
if text.is_empty() {
"(empty)".to_string()
} else {
text.to_string()
}
}
@@ -591,4 +791,62 @@ mod tests {
.to_ascii_lowercase()
.contains("json"));
}
#[test]
fn responses_request_preserves_empty_chat_messages() {
let request = CanonicalRequest {
model: "gpt-5.5".to_string(),
messages: vec![
CanonicalMessage {
role: CanonicalRole::User,
content: vec![CanonicalContentBlock::Text {
text: String::new(),
extensions: Default::default(),
}],
extensions: Default::default(),
},
CanonicalMessage {
role: CanonicalRole::Assistant,
content: Vec::new(),
extensions: Default::default(),
},
],
..CanonicalRequest::default()
};
let body = to_raw(&request, "gpt-5.5", false, false).expect("responses body");
assert_eq!(body["input"][0]["role"], "user");
assert_eq!(body["input"][0]["content"], "");
assert_eq!(body["input"][1]["role"], "assistant");
assert_eq!(body["input"][1]["content"][0]["type"], "output_text");
assert_eq!(body["input"][1]["content"][0]["text"], "");
}
#[test]
fn responses_request_uses_empty_marker_for_empty_tool_output() {
let request = CanonicalRequest {
model: "gpt-5.5".to_string(),
messages: vec![CanonicalMessage {
role: CanonicalRole::Tool,
content: vec![CanonicalContentBlock::ToolResult {
tool_use_id: "call_empty".to_string(),
name: None,
output: Some(json!("")),
content_text: None,
is_error: false,
extensions: Default::default(),
}],
extensions: Default::default(),
}],
..CanonicalRequest::default()
};
let body = to_raw(&request, "gpt-5.5", false, false).expect("responses body");
assert_eq!(body["input"].as_array().expect("input").len(), 1);
assert_eq!(body["input"][0]["type"], "function_call_output");
assert_eq!(body["input"][0]["call_id"], "call_empty");
assert_eq!(body["input"][0]["output"], "(empty)");
}
}