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fix(openai): unify tool call indexing for both standard and embedded calls
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- Sequential next_tool_index is now used for both Responses API 'function_call' events and the proxy's 'tool_uses' JSON extraction.
- This ensures tool_calls arrays in the stream always start at index 0 and are dense, even if standard and embedded calls were somehow mixed.
- Fixed 'payload_idx' logic to correctly align argument chunks with their initialization chunks.
This commit is contained in:
Dustin Newkirk
2026-03-18 18:31:24 +00:00
parent 4de457cc5e
commit 57aa0aa70e
1 changed files with 10 additions and 4 deletions
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14
src/providers/openai.rs
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@@ -838,9 +838,11 @@ impl super::Provider for OpenAIProvider {
// Yield the tool calls in two chunks to mimic standard streaming behavior
// Chunk 1: Initialization (id, name)
let init_deltas: Vec<crate::models::ToolCallDelta> = embedded_calls.iter().enumerate().map(|(idx, tc)| {
let init_deltas: Vec<crate::models::ToolCallDelta> = embedded_calls.iter().map(|tc| {
let tc_idx = next_tool_index;
next_tool_index += 1;
crate::models::ToolCallDelta {
index: idx as u32,
index: tc_idx,
id: Some(tc.id.clone()),
call_type: Some("function".to_string()),
function: Some(crate::models::FunctionCallDelta {
@@ -860,9 +862,13 @@ impl super::Provider for OpenAIProvider {
};
// Chunk 2: Payload (arguments)
let arg_deltas: Vec<crate::models::ToolCallDelta> = embedded_calls.into_iter().enumerate().map(|(idx, tc)| {
// Reset temp index for payload chunk
let mut payload_idx = next_tool_index - embedded_calls.len() as u32;
let arg_deltas: Vec<crate::models::ToolCallDelta> = embedded_calls.into_iter().map(|tc| {
let tc_idx = payload_idx;
payload_idx += 1;
crate::models::ToolCallDelta {
index: idx as u32,
index: tc_idx,
id: None,
call_type: None,
function: Some(crate::models::FunctionCallDelta {