fix(openrouter): Handle Gemini thoughtSignature for tool calls (#6370)

Signed-off-by: rabi <ramishra@redhat.com>
This commit is contained in:
Rabi Mishra
2026-01-14 05:32:47 +05:30
committed by GitHub
parent 1809b68bd3
commit bb209498d6
4 changed files with 208 additions and 40 deletions
@@ -5,4 +5,5 @@ pub mod gcpvertexai;
pub mod google;
pub mod openai;
pub mod openai_responses;
pub mod openrouter;
pub mod snowflake;
+24 -4
View File
@@ -1,4 +1,4 @@
use crate::conversation::message::{Message, MessageContent};
use crate::conversation::message::{Message, MessageContent, ProviderMetadata};
use crate::model::ModelConfig;
use crate::providers::base::{ProviderUsage, Usage};
use crate::providers::utils::{
@@ -37,6 +37,7 @@ struct Delta {
content: Option<String>,
role: Option<String>,
tool_calls: Option<Vec<DeltaToolCall>>,
reasoning_details: Option<Vec<Value>>,
}
#[derive(Serialize, Deserialize, Debug)]
@@ -449,6 +450,8 @@ where
try_stream! {
use futures::StreamExt;
let mut accumulated_reasoning: Vec<Value> = Vec::new();
'outer: while let Some(response) = stream.next().await {
if response.as_ref().is_ok_and(|s| s == "data: [DONE]") {
break 'outer;
@@ -464,6 +467,12 @@ where
.ok_or_else(|| anyhow!("unexpected stream format"))?)
.map_err(|e| anyhow!("Failed to parse streaming chunk: {}: {:?}", e, &line))?;
if !chunk.choices.is_empty() {
if let Some(details) = &chunk.choices[0].delta.reasoning_details {
accumulated_reasoning.extend(details.iter().cloned());
}
}
let usage = chunk.usage.as_ref().and_then(|u| {
chunk.model.as_ref().map(|model| {
ProviderUsage {
@@ -486,7 +495,6 @@ where
}
}
// Check if this chunk already has finish_reason "tool_calls"
let is_complete = chunk.choices[0].finish_reason == Some("tool_calls".to_string());
if !is_complete {
@@ -502,6 +510,9 @@ where
.map_err(|e| anyhow!("Failed to parse streaming chunk: {}: {:?}", e, &line))?;
if !tool_chunk.choices.is_empty() {
if let Some(details) = &tool_chunk.choices[0].delta.reasoning_details {
accumulated_reasoning.extend(details.iter().cloned());
}
if let Some(delta_tool_calls) = &tool_chunk.choices[0].delta.tool_calls {
for delta_call in delta_tool_calls {
if let Some(index) = delta_call.index {
@@ -526,6 +537,14 @@ where
}
}
let metadata: Option<ProviderMetadata> = if !accumulated_reasoning.is_empty() {
let mut map = ProviderMetadata::new();
map.insert("reasoning_details".to_string(), json!(accumulated_reasoning));
Some(map)
} else {
None
};
let mut contents = Vec::new();
let mut sorted_indices: Vec<_> = tool_call_data.keys().cloned().collect();
sorted_indices.sort();
@@ -540,9 +559,10 @@ where
let content = match parsed {
Ok(params) => {
MessageContent::tool_request(
MessageContent::tool_request_with_metadata(
id.clone(),
Ok(CallToolRequestParam { name: function_name.clone().into(), arguments: Some(object(params)) }),
metadata.as_ref(),
)
},
Err(e) => {
@@ -554,7 +574,7 @@ where
)),
data: None,
};
MessageContent::tool_request(id.clone(), Err(error))
MessageContent::tool_request_with_metadata(id.clone(), Err(error), metadata.as_ref())
}
};
contents.push(content);
@@ -0,0 +1,152 @@
use crate::conversation::message::{Message, MessageContent, ProviderMetadata};
use crate::providers::formats::openai;
use rmcp::model::Role;
use serde_json::{json, Value};
pub const REASONING_DETAILS_KEY: &str = "reasoning_details";
fn has_assistant_content(message: &Message) -> bool {
message.content.iter().any(|c| match c {
MessageContent::Text(t) => !t.text.is_empty(),
MessageContent::Image(_) => true,
MessageContent::ToolRequest(req) => req.tool_call.is_ok(),
MessageContent::FrontendToolRequest(req) => req.tool_call.is_ok(),
_ => false,
})
}
pub fn extract_reasoning_details(response: &Value) -> Option<Vec<Value>> {
response
.get("choices")
.and_then(|c| c.get(0))
.and_then(|m| m.get("message"))
.and_then(|msg| msg.get("reasoning_details"))
.and_then(|d| d.as_array())
.cloned()
}
pub fn get_reasoning_details(metadata: &Option<ProviderMetadata>) -> Option<Vec<Value>> {
metadata
.as_ref()
.and_then(|m| m.get(REASONING_DETAILS_KEY))
.and_then(|v| v.as_array())
.cloned()
}
pub fn response_to_message(response: &Value) -> anyhow::Result<Message> {
let mut message = openai::response_to_message(response)?;
if let Some(details) = extract_reasoning_details(response) {
for content in &mut message.content {
if let MessageContent::ToolRequest(req) = content {
let mut meta = req.metadata.clone().unwrap_or_default();
meta.insert(REASONING_DETAILS_KEY.to_string(), json!(details));
req.metadata = Some(meta);
}
}
}
Ok(message)
}
pub fn add_reasoning_details_to_request(payload: &mut Value, messages: &[Message]) {
let mut assistant_reasoning: Vec<Option<Vec<Value>>> = messages
.iter()
.filter(|m| m.is_agent_visible())
.filter(|m| m.role == Role::Assistant)
.filter(|m| has_assistant_content(m))
.map(|message| {
message.content.iter().find_map(|c| match c {
MessageContent::ToolRequest(req) => get_reasoning_details(&req.metadata),
_ => None,
})
})
.collect();
if let Some(payload_messages) = payload
.as_object_mut()
.and_then(|obj| obj.get_mut("messages"))
.and_then(|m| m.as_array_mut())
{
let mut assistant_idx = 0;
for payload_msg in payload_messages.iter_mut() {
if payload_msg.get("role").and_then(|r| r.as_str()) == Some("assistant") {
if assistant_idx < assistant_reasoning.len() {
if let Some(details) = assistant_reasoning
.get_mut(assistant_idx)
.and_then(|d| d.take())
{
if let Some(obj) = payload_msg.as_object_mut() {
obj.insert("reasoning_details".to_string(), json!(details));
}
}
}
assistant_idx += 1;
}
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_extract_reasoning_details() {
let response = json!({
"choices": [{
"message": {
"content": "Hello",
"reasoning_details": [
{"type": "text", "text": "Let me think..."},
{"type": "encrypted", "data": "abc123signature"}
]
}
}]
});
let details = extract_reasoning_details(&response).unwrap();
assert_eq!(details.len(), 2);
}
#[test]
fn test_response_to_message_with_tool_calls() {
let response = json!({
"choices": [{
"message": {
"content": null,
"tool_calls": [{
"id": "call_123",
"type": "function",
"function": {
"name": "get_weather",
"arguments": "{\"location\": \"NYC\"}"
}
}],
"reasoning_details": [
{"type": "encrypted", "data": "sig456"}
]
}
}]
});
let message = response_to_message(&response).unwrap();
assert!(!message.content.is_empty());
let tool_request = message
.content
.iter()
.find_map(|c| {
if let MessageContent::ToolRequest(req) = c {
Some(req)
} else {
None
}
})
.unwrap();
assert!(tool_request.metadata.is_some());
let details = get_reasoning_details(&tool_request.metadata).unwrap();
assert_eq!(details.len(), 1);
}
}
+31 -36
View File
@@ -1,4 +1,4 @@
use anyhow::{Error, Result};
use anyhow::Result;
use async_trait::async_trait;
use serde_json::{json, Value};
@@ -7,13 +7,14 @@ use super::base::{ConfigKey, MessageStream, Provider, ProviderMetadata, Provider
use super::errors::ProviderError;
use super::retry::ProviderRetry;
use super::utils::{
get_model, handle_response_google_compat, handle_response_openai_compat,
handle_status_openai_compat, is_google_model, stream_openai_compat, RequestLog,
get_model, handle_response_openai_compat, handle_status_openai_compat, stream_openai_compat,
RequestLog,
};
use crate::conversation::message::Message;
use crate::model::ModelConfig;
use crate::providers::formats::openai::{create_request, get_usage, response_to_message};
use crate::providers::formats::openai::{create_request, get_usage};
use crate::providers::formats::openrouter as openrouter_format;
use rmcp::model::Tool;
pub const OPENROUTER_DEFAULT_MODEL: &str = "anthropic/claude-sonnet-4";
@@ -74,27 +75,11 @@ impl OpenRouterProvider {
.response_post("api/v1/chat/completions", payload)
.await?;
// Handle Google-compatible model responses differently
if is_google_model(payload) {
return handle_response_google_compat(response).await;
}
// For OpenAI-compatible models, parse the response body to JSON
let response_body = handle_response_openai_compat(response)
.await
.map_err(|e| ProviderError::RequestFailed(format!("Failed to parse response: {e}")))?;
let _debug = format!(
"OpenRouter request with payload: {} and response: {}",
serde_json::to_string_pretty(payload).unwrap_or_else(|_| "Invalid JSON".to_string()),
serde_json::to_string_pretty(&response_body)
.unwrap_or_else(|_| "Invalid JSON".to_string())
);
// OpenRouter can return errors in 200 OK responses, so we have to check for errors explicitly
// https://openrouter.ai/docs/api-reference/errors
if let Some(error_obj) = response_body.get("error") {
// If there's an error object, extract the error message and code
let error_message = error_obj
.get("message")
.and_then(|m| m.as_str())
@@ -102,14 +87,12 @@ impl OpenRouterProvider {
let error_code = error_obj.get("code").and_then(|c| c.as_u64()).unwrap_or(0);
// Check for context length errors in the error message
if error_code == 400 && error_message.contains("maximum context length") {
return Err(ProviderError::ContextLengthExceeded(
error_message.to_string(),
));
}
// Return appropriate error based on the OpenRouter error code
match error_code {
401 | 403 => return Err(ProviderError::Authentication(error_message.to_string())),
429 => {
@@ -123,7 +106,6 @@ impl OpenRouterProvider {
}
}
// No error detected, return the response body
Ok(response_body)
}
}
@@ -201,12 +183,16 @@ fn update_request_for_anthropic(original_payload: &Value) -> Value {
payload
}
fn is_gemini_model(model_name: &str) -> bool {
model_name.starts_with("google/")
}
async fn create_request_based_on_model(
provider: &OpenRouterProvider,
system: &str,
messages: &[Message],
tools: &[Tool],
) -> anyhow::Result<Value, Error> {
) -> Result<Value> {
let mut payload = create_request(
&provider.model,
system,
@@ -220,10 +206,13 @@ async fn create_request_based_on_model(
payload = update_request_for_anthropic(&payload);
}
payload
.as_object_mut()
.unwrap()
.insert("transforms".to_string(), json!(["middle-out"]));
if is_gemini_model(&provider.model.model_name) {
openrouter_format::add_reasoning_details_to_request(&mut payload, messages);
}
if let Some(obj) = payload.as_object_mut() {
obj.insert("transforms".to_string(), json!(["middle-out"]));
}
Ok(payload)
}
@@ -272,7 +261,6 @@ impl Provider for OpenRouterProvider {
let payload = create_request_based_on_model(self, system, messages, tools).await?;
let mut log = RequestLog::start(model_config, &payload)?;
// Make request
let response = self
.with_retry(|| async {
let payload_clone = payload.clone();
@@ -280,13 +268,17 @@ impl Provider for OpenRouterProvider {
})
.await?;
// Parse response
let message = response_to_message(&response)?;
let response_model = get_model(&response);
let message = if is_gemini_model(&self.model.model_name) {
openrouter_format::response_to_message(&response)?
} else {
crate::providers::formats::openai::response_to_message(&response)?
};
let usage = response.get("usage").map(get_usage).unwrap_or_else(|| {
tracing::debug!("Failed to get usage data");
Usage::default()
});
let response_model = get_model(&response);
log.write(&response, Some(&usage))?;
Ok((message, ProviderUsage::new(response_model, usage)))
}
@@ -397,10 +389,13 @@ impl Provider for OpenRouterProvider {
payload = update_request_for_anthropic(&payload);
}
payload
.as_object_mut()
.unwrap()
.insert("transforms".to_string(), json!(["middle-out"]));
if is_gemini_model(&self.model.model_name) {
openrouter_format::add_reasoning_details_to_request(&mut payload, messages);
}
if let Some(obj) = payload.as_object_mut() {
obj.insert("transforms".to_string(), json!(["middle-out"]));
}
let mut log = RequestLog::start(&self.model, &payload)?;