core-agent-ide/codex-rs/codex-api/src/requests/chat.rs
sayan-oai fc05374344
chore: add phase to message responseitem (#10455)
### What

add wiring for `phase` field on `ResponseItem::Message` to lay
groundwork for differentiating model preambles and final messages.
currently optional.

follows pattern in #9698.

updated schemas with `just write-app-server-schema` so we can see type
changes.

### Tests
Updated existing tests for SSE parsing and hydrating from history
2026-02-03 02:52:26 +00:00

494 lines
18 KiB
Rust

use crate::error::ApiError;
use crate::provider::Provider;
use crate::requests::headers::build_conversation_headers;
use crate::requests::headers::insert_header;
use crate::requests::headers::subagent_header;
use codex_protocol::models::ContentItem;
use codex_protocol::models::FunctionCallOutputContentItem;
use codex_protocol::models::ReasoningItemContent;
use codex_protocol::models::ResponseItem;
use codex_protocol::protocol::SessionSource;
use http::HeaderMap;
use serde_json::Value;
use serde_json::json;
use std::collections::HashMap;
/// Assembled request body plus headers for Chat Completions streaming calls.
pub struct ChatRequest {
pub body: Value,
pub headers: HeaderMap,
}
pub struct ChatRequestBuilder<'a> {
model: &'a str,
instructions: &'a str,
input: &'a [ResponseItem],
tools: &'a [Value],
conversation_id: Option<String>,
session_source: Option<SessionSource>,
}
impl<'a> ChatRequestBuilder<'a> {
pub fn new(
model: &'a str,
instructions: &'a str,
input: &'a [ResponseItem],
tools: &'a [Value],
) -> Self {
Self {
model,
instructions,
input,
tools,
conversation_id: None,
session_source: None,
}
}
pub fn conversation_id(mut self, id: Option<String>) -> Self {
self.conversation_id = id;
self
}
pub fn session_source(mut self, source: Option<SessionSource>) -> Self {
self.session_source = source;
self
}
pub fn build(self, _provider: &Provider) -> Result<ChatRequest, ApiError> {
let mut messages = Vec::<Value>::new();
messages.push(json!({"role": "system", "content": self.instructions}));
let input = self.input;
let mut reasoning_by_anchor_index: HashMap<usize, String> = HashMap::new();
let mut last_emitted_role: Option<&str> = None;
for item in input {
match item {
ResponseItem::Message { role, .. } => last_emitted_role = Some(role.as_str()),
ResponseItem::FunctionCall { .. } | ResponseItem::LocalShellCall { .. } => {
last_emitted_role = Some("assistant")
}
ResponseItem::FunctionCallOutput { .. } => last_emitted_role = Some("tool"),
ResponseItem::Reasoning { .. } | ResponseItem::Other => {}
ResponseItem::CustomToolCall { .. } => {}
ResponseItem::CustomToolCallOutput { .. } => {}
ResponseItem::WebSearchCall { .. } => {}
ResponseItem::GhostSnapshot { .. } => {}
ResponseItem::Compaction { .. } => {}
}
}
let mut last_user_index: Option<usize> = None;
for (idx, item) in input.iter().enumerate() {
if let ResponseItem::Message { role, .. } = item
&& role == "user"
{
last_user_index = Some(idx);
}
}
if !matches!(last_emitted_role, Some("user")) {
for (idx, item) in input.iter().enumerate() {
if let Some(u_idx) = last_user_index
&& idx <= u_idx
{
continue;
}
if let ResponseItem::Reasoning {
content: Some(items),
..
} = item
{
let mut text = String::new();
for entry in items {
match entry {
ReasoningItemContent::ReasoningText { text: segment }
| ReasoningItemContent::Text { text: segment } => {
text.push_str(segment)
}
}
}
if text.trim().is_empty() {
continue;
}
let mut attached = false;
if idx > 0
&& let ResponseItem::Message { role, .. } = &input[idx - 1]
&& role == "assistant"
{
reasoning_by_anchor_index
.entry(idx - 1)
.and_modify(|v| v.push_str(&text))
.or_insert(text.clone());
attached = true;
}
if !attached && idx + 1 < input.len() {
match &input[idx + 1] {
ResponseItem::FunctionCall { .. }
| ResponseItem::LocalShellCall { .. } => {
reasoning_by_anchor_index
.entry(idx + 1)
.and_modify(|v| v.push_str(&text))
.or_insert(text.clone());
}
ResponseItem::Message { role, .. } if role == "assistant" => {
reasoning_by_anchor_index
.entry(idx + 1)
.and_modify(|v| v.push_str(&text))
.or_insert(text.clone());
}
_ => {}
}
}
}
}
}
let mut last_assistant_text: Option<String> = None;
for (idx, item) in input.iter().enumerate() {
match item {
ResponseItem::Message { role, content, .. } => {
let mut text = String::new();
let mut items: Vec<Value> = Vec::new();
let mut saw_image = false;
for c in content {
match c {
ContentItem::InputText { text: t }
| ContentItem::OutputText { text: t } => {
text.push_str(t);
items.push(json!({"type":"text","text": t}));
}
ContentItem::InputImage { image_url } => {
saw_image = true;
items.push(
json!({"type":"image_url","image_url": {"url": image_url}}),
);
}
}
}
if role == "assistant" {
if let Some(prev) = &last_assistant_text
&& prev == &text
{
continue;
}
last_assistant_text = Some(text.clone());
}
let content_value = if role == "assistant" {
json!(text)
} else if saw_image {
json!(items)
} else {
json!(text)
};
let mut msg = json!({"role": role, "content": content_value});
if role == "assistant"
&& let Some(reasoning) = reasoning_by_anchor_index.get(&idx)
&& let Some(obj) = msg.as_object_mut()
{
obj.insert("reasoning".to_string(), json!(reasoning));
}
messages.push(msg);
}
ResponseItem::FunctionCall {
name,
arguments,
call_id,
..
} => {
let reasoning = reasoning_by_anchor_index.get(&idx).map(String::as_str);
let tool_call = json!({
"id": call_id,
"type": "function",
"function": {
"name": name,
"arguments": arguments,
}
});
push_tool_call_message(&mut messages, tool_call, reasoning);
}
ResponseItem::LocalShellCall {
id,
call_id: _,
status,
action,
} => {
let reasoning = reasoning_by_anchor_index.get(&idx).map(String::as_str);
let tool_call = json!({
"id": id.clone().unwrap_or_default(),
"type": "local_shell_call",
"status": status,
"action": action,
});
push_tool_call_message(&mut messages, tool_call, reasoning);
}
ResponseItem::FunctionCallOutput { call_id, output } => {
let content_value = if let Some(items) = &output.content_items {
let mapped: Vec<Value> = items
.iter()
.map(|it| match it {
FunctionCallOutputContentItem::InputText { text } => {
json!({"type":"text","text": text})
}
FunctionCallOutputContentItem::InputImage { image_url } => {
json!({"type":"image_url","image_url": {"url": image_url}})
}
})
.collect();
json!(mapped)
} else {
json!(output.content)
};
messages.push(json!({
"role": "tool",
"tool_call_id": call_id,
"content": content_value,
}));
}
ResponseItem::CustomToolCall {
id,
call_id: _,
name,
input,
status: _,
} => {
let tool_call = json!({
"id": id,
"type": "custom",
"custom": {
"name": name,
"input": input,
}
});
let reasoning = reasoning_by_anchor_index.get(&idx).map(String::as_str);
push_tool_call_message(&mut messages, tool_call, reasoning);
}
ResponseItem::CustomToolCallOutput { call_id, output } => {
messages.push(json!({
"role": "tool",
"tool_call_id": call_id,
"content": output,
}));
}
ResponseItem::GhostSnapshot { .. } => {
continue;
}
ResponseItem::Reasoning { .. }
| ResponseItem::WebSearchCall { .. }
| ResponseItem::Other
| ResponseItem::Compaction { .. } => {
continue;
}
}
}
let payload = json!({
"model": self.model,
"messages": messages,
"stream": true,
"tools": self.tools,
});
let mut headers = build_conversation_headers(self.conversation_id);
if let Some(subagent) = subagent_header(&self.session_source) {
insert_header(&mut headers, "x-openai-subagent", &subagent);
}
Ok(ChatRequest {
body: payload,
headers,
})
}
}
fn push_tool_call_message(messages: &mut Vec<Value>, tool_call: Value, reasoning: Option<&str>) {
// Chat Completions requires that tool calls are grouped into a single assistant message
// (with `tool_calls: [...]`) followed by tool role responses.
if let Some(Value::Object(obj)) = messages.last_mut()
&& obj.get("role").and_then(Value::as_str) == Some("assistant")
&& obj.get("content").is_some_and(Value::is_null)
&& let Some(tool_calls) = obj.get_mut("tool_calls").and_then(Value::as_array_mut)
{
tool_calls.push(tool_call);
if let Some(reasoning) = reasoning {
if let Some(Value::String(existing)) = obj.get_mut("reasoning") {
if !existing.is_empty() {
existing.push('\n');
}
existing.push_str(reasoning);
} else {
obj.insert(
"reasoning".to_string(),
Value::String(reasoning.to_string()),
);
}
}
return;
}
let mut msg = json!({
"role": "assistant",
"content": null,
"tool_calls": [tool_call],
});
if let Some(reasoning) = reasoning
&& let Some(obj) = msg.as_object_mut()
{
obj.insert("reasoning".to_string(), json!(reasoning));
}
messages.push(msg);
}
#[cfg(test)]
mod tests {
use super::*;
use crate::provider::RetryConfig;
use crate::provider::WireApi;
use codex_protocol::models::FunctionCallOutputPayload;
use codex_protocol::protocol::SessionSource;
use codex_protocol::protocol::SubAgentSource;
use http::HeaderValue;
use pretty_assertions::assert_eq;
use std::time::Duration;
fn provider() -> Provider {
Provider {
name: "openai".to_string(),
base_url: "https://api.openai.com/v1".to_string(),
query_params: None,
wire: WireApi::Chat,
headers: HeaderMap::new(),
retry: RetryConfig {
max_attempts: 1,
base_delay: Duration::from_millis(10),
retry_429: false,
retry_5xx: true,
retry_transport: true,
},
stream_idle_timeout: Duration::from_secs(1),
}
}
#[test]
fn attaches_conversation_and_subagent_headers() {
let prompt_input = vec![ResponseItem::Message {
id: None,
role: "user".to_string(),
content: vec![ContentItem::InputText {
text: "hi".to_string(),
}],
end_turn: None,
phase: None,
}];
let req = ChatRequestBuilder::new("gpt-test", "inst", &prompt_input, &[])
.conversation_id(Some("conv-1".into()))
.session_source(Some(SessionSource::SubAgent(SubAgentSource::Review)))
.build(&provider())
.expect("request");
assert_eq!(
req.headers.get("session_id"),
Some(&HeaderValue::from_static("conv-1"))
);
assert_eq!(
req.headers.get("x-openai-subagent"),
Some(&HeaderValue::from_static("review"))
);
}
#[test]
fn groups_consecutive_tool_calls_into_a_single_assistant_message() {
let prompt_input = vec![
ResponseItem::Message {
id: None,
role: "user".to_string(),
content: vec![ContentItem::InputText {
text: "read these".to_string(),
}],
end_turn: None,
phase: None,
},
ResponseItem::FunctionCall {
id: None,
name: "read_file".to_string(),
arguments: r#"{"path":"a.txt"}"#.to_string(),
call_id: "call-a".to_string(),
},
ResponseItem::FunctionCall {
id: None,
name: "read_file".to_string(),
arguments: r#"{"path":"b.txt"}"#.to_string(),
call_id: "call-b".to_string(),
},
ResponseItem::FunctionCall {
id: None,
name: "read_file".to_string(),
arguments: r#"{"path":"c.txt"}"#.to_string(),
call_id: "call-c".to_string(),
},
ResponseItem::FunctionCallOutput {
call_id: "call-a".to_string(),
output: FunctionCallOutputPayload {
content: "A".to_string(),
..Default::default()
},
},
ResponseItem::FunctionCallOutput {
call_id: "call-b".to_string(),
output: FunctionCallOutputPayload {
content: "B".to_string(),
..Default::default()
},
},
ResponseItem::FunctionCallOutput {
call_id: "call-c".to_string(),
output: FunctionCallOutputPayload {
content: "C".to_string(),
..Default::default()
},
},
];
let req = ChatRequestBuilder::new("gpt-test", "inst", &prompt_input, &[])
.build(&provider())
.expect("request");
let messages = req
.body
.get("messages")
.and_then(|v| v.as_array())
.expect("messages array");
// system + user + assistant(tool_calls=[...]) + 3 tool outputs
assert_eq!(messages.len(), 6);
assert_eq!(messages[0]["role"], "system");
assert_eq!(messages[1]["role"], "user");
let tool_calls_msg = &messages[2];
assert_eq!(tool_calls_msg["role"], "assistant");
assert_eq!(tool_calls_msg["content"], serde_json::Value::Null);
let tool_calls = tool_calls_msg["tool_calls"]
.as_array()
.expect("tool_calls array");
assert_eq!(tool_calls.len(), 3);
assert_eq!(tool_calls[0]["id"], "call-a");
assert_eq!(tool_calls[1]["id"], "call-b");
assert_eq!(tool_calls[2]["id"], "call-c");
assert_eq!(messages[3]["role"], "tool");
assert_eq!(messages[3]["tool_call_id"], "call-a");
assert_eq!(messages[4]["role"], "tool");
assert_eq!(messages[4]["tool_call_id"], "call-b");
assert_eq!(messages[5]["role"], "tool");
assert_eq!(messages[5]["tool_call_id"], "call-c");
}
}