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use std::collections::BTreeMap;
use super::utils::{
gemini_citation_annotations, gemini_grounding_to_web_search_item, gemini_logprobs,
};
use crate::gemini::generate_content::response::GeminiGenerateContentResponse;
use crate::gemini::generate_content::types as gt;
use crate::openai::count_tokens::types as ot;
use crate::openai::create_response::response::{OpenAiCreateResponseResponse, ResponseBody};
use crate::openai::create_response::types as rt;
use crate::openai::types::OpenAiResponseHeaders;
use crate::transform::openai::generate_content::openai_chat_completions::gemini::utils::{
gemini_function_response_to_text, json_object_to_string, prompt_feedback_refusal_text,
};
use crate::transform::openai::model_list::gemini::utils::{
openai_error_response_from_gemini, strip_models_prefix,
};
use crate::transform::utils::TransformError;
impl TryFrom<GeminiGenerateContentResponse> for OpenAiCreateResponseResponse {
type Error = TransformError;
fn try_from(value: GeminiGenerateContentResponse) -> Result<Self, TransformError> {
Ok(match value {
GeminiGenerateContentResponse::Success {
stats_code,
headers,
body,
} => {
let response_id = body.response_id.unwrap_or_default();
let response_model = body
.model_version
.as_deref()
.map(strip_models_prefix)
.unwrap_or_default();
let usage = body.usage_metadata.map(|usage| {
let input_tokens = usage
.prompt_token_count
.unwrap_or(0)
.saturating_add(usage.tool_use_prompt_token_count.unwrap_or(0));
let cached_tokens = usage.cached_content_token_count.unwrap_or(0);
let output_tokens = usage
.candidates_token_count
.unwrap_or(0)
.saturating_add(usage.thoughts_token_count.unwrap_or(0));
let total_tokens = usage
.total_token_count
.unwrap_or_else(|| input_tokens.saturating_add(output_tokens));
rt::ResponseUsage {
input_tokens,
input_tokens_details: rt::ResponseInputTokensDetails { cached_tokens },
output_tokens,
output_tokens_details: rt::ResponseOutputTokensDetails {
reasoning_tokens: usage.thoughts_token_count.unwrap_or(0),
},
total_tokens,
}
});
let prompt_feedback = body.prompt_feedback;
let mut output = Vec::new();
let mut output_text_parts = Vec::new();
let mut tool_call_count = 0usize;
let mut first_finish_reason = None;
for (candidate_pos, candidate) in
body.candidates.unwrap_or_default().into_iter().enumerate()
{
let candidate_index = candidate.index.unwrap_or(candidate_pos as u32);
if first_finish_reason.is_none() {
first_finish_reason = candidate.finish_reason.clone();
}
if let Some(web_search_item) = gemini_grounding_to_web_search_item(
candidate_index,
candidate.grounding_metadata.as_ref(),
) {
tool_call_count += 1;
output.push(web_search_item);
}
let annotations =
gemini_citation_annotations(candidate.citation_metadata.as_ref());
let logprobs = gemini_logprobs(candidate.logprobs_result.as_ref());
let mut logprobs_attached = false;
let mut message_content = Vec::new();
if let Some(content) = candidate.content {
for (part_index, part) in content.parts.into_iter().enumerate() {
if part.thought.unwrap_or(false) {
if let Some(thinking) = part.text
&& !thinking.is_empty()
{
let reasoning_id =
part.thought_signature.unwrap_or_else(|| {
format!(
"candidate_{candidate_index}_reasoning_{part_index}"
)
});
output.push(rt::ResponseOutputItem::ReasoningItem(
ot::ResponseReasoningItem {
id: Some(reasoning_id),
summary: vec![ot::ResponseSummaryTextContent {
text: thinking.clone(),
type_: ot::ResponseSummaryTextContentType::SummaryText,
}],
type_: ot::ResponseReasoningItemType::Reasoning,
content: Some(vec![ot::ResponseReasoningTextContent {
text: thinking,
type_: ot::ResponseReasoningTextContentType::ReasoningText,
}]),
encrypted_content: None,
status: Some(ot::ResponseItemStatus::Completed),
},
));
}
continue;
}
if let Some(function_call) = part.function_call {
tool_call_count += 1;
let call_id = function_call.id.unwrap_or_else(|| {
format!("candidate_{candidate_index}_tool_{part_index}")
});
output.push(rt::ResponseOutputItem::FunctionToolCall(
ot::ResponseFunctionToolCall {
arguments: function_call
.args
.as_ref()
.map(json_object_to_string)
.unwrap_or_else(|| "{}".to_string()),
call_id: call_id.clone(),
name: function_call.name,
type_: ot::ResponseFunctionToolCallType::FunctionCall,
id: Some(call_id),
status: Some(ot::ResponseItemStatus::Completed),
},
));
}
if let Some(function_response) = part.function_response {
let call_id = function_response
.id
.clone()
.unwrap_or_else(|| function_response.name.clone());
let output_text =
gemini_function_response_to_text(function_response);
output.push(rt::ResponseOutputItem::FunctionCallOutput(
ot::ResponseFunctionCallOutput {
call_id,
output: ot::ResponseFunctionCallOutputContent::Text(
output_text,
),
type_:
ot::ResponseFunctionCallOutputType::FunctionCallOutput,
id: None,
status: Some(ot::ResponseItemStatus::Completed),
},
));
}
if let Some(executable_code) = part.executable_code {
tool_call_count += 1;
output.push(rt::ResponseOutputItem::CodeInterpreterToolCall(
ot::ResponseCodeInterpreterToolCall {
id: format!("code_interpreter_{candidate_index}_{part_index}"),
code: executable_code.code,
container_id: "gemini".to_string(),
outputs: None,
status: ot::ResponseCodeInterpreterToolCallStatus::Completed,
type_: ot::ResponseCodeInterpreterToolCallType::CodeInterpreterCall,
},
));
}
if let Some(code_execution_result) = part.code_execution_result
&& let Some(result_text) = code_execution_result.output
&& !result_text.is_empty()
{
output.push(rt::ResponseOutputItem::FunctionCallOutput(
ot::ResponseFunctionCallOutput {
call_id: format!(
"code_execution_{candidate_index}_{part_index}"
),
output: ot::ResponseFunctionCallOutputContent::Text(
result_text,
),
type_:
ot::ResponseFunctionCallOutputType::FunctionCallOutput,
id: None,
status: Some(ot::ResponseItemStatus::Completed),
},
));
}
if let Some(text) = part.text
&& !text.is_empty()
{
output_text_parts.push(text.clone());
message_content.push(ot::ResponseOutputContent::Text(
ot::ResponseOutputText {
annotations: annotations.clone(),
logprobs: if !logprobs_attached {
logprobs_attached = true;
logprobs.clone()
} else {
None
},
text,
type_: ot::ResponseOutputTextType::OutputText,
},
));
continue;
}
if let Some(inline_data) = part.inline_data {
let text = format!(
"data:{};base64,{}",
inline_data.mime_type, inline_data.data
);
output_text_parts.push(text.clone());
message_content.push(ot::ResponseOutputContent::Text(
ot::ResponseOutputText {
annotations: Vec::new(),
logprobs: None,
text,
type_: ot::ResponseOutputTextType::OutputText,
},
));
} else if let Some(file_data) = part.file_data {
output_text_parts.push(file_data.file_uri.clone());
message_content.push(ot::ResponseOutputContent::Text(
ot::ResponseOutputText {
annotations: Vec::new(),
logprobs: None,
text: file_data.file_uri,
type_: ot::ResponseOutputTextType::OutputText,
},
));
}
}
}
if message_content.is_empty()
&& let Some(finish_message) = candidate.finish_message
&& !finish_message.is_empty()
{
output_text_parts.push(finish_message.clone());
message_content.push(ot::ResponseOutputContent::Text(
ot::ResponseOutputText {
annotations: Vec::new(),
logprobs: None,
text: finish_message,
type_: ot::ResponseOutputTextType::OutputText,
},
));
}
if !message_content.is_empty() {
output.push(rt::ResponseOutputItem::Message(ot::ResponseOutputMessage {
id: format!("{}_message_{}", response_id, candidate_index),
content: message_content,
role: ot::ResponseOutputMessageRole::Assistant,
phase: Some(ot::ResponseMessagePhase::FinalAnswer),
status: Some(ot::ResponseItemStatus::Completed),
type_: Some(ot::ResponseOutputMessageType::Message),
}));
}
}
if output.is_empty()
&& let Some(refusal) = prompt_feedback_refusal_text(prompt_feedback.as_ref())
{
output.push(rt::ResponseOutputItem::Message(ot::ResponseOutputMessage {
id: format!("{}_message_0", response_id),
content: vec![ot::ResponseOutputContent::Refusal(
ot::ResponseOutputRefusal {
refusal,
type_: ot::ResponseOutputRefusalType::Refusal,
},
)],
role: ot::ResponseOutputMessageRole::Assistant,
phase: Some(ot::ResponseMessagePhase::FinalAnswer),
status: Some(ot::ResponseItemStatus::Completed),
type_: Some(ot::ResponseOutputMessageType::Message),
}));
}
let incomplete_reason = match first_finish_reason.as_ref() {
Some(gt::GeminiFinishReason::MaxTokens) => {
Some(rt::ResponseIncompleteReason::MaxOutputTokens)
}
Some(
gt::GeminiFinishReason::Safety
| gt::GeminiFinishReason::Recitation
| gt::GeminiFinishReason::Blocklist
| gt::GeminiFinishReason::ProhibitedContent
| gt::GeminiFinishReason::Spii
| gt::GeminiFinishReason::ImageSafety
| gt::GeminiFinishReason::ImageProhibitedContent
| gt::GeminiFinishReason::ImageRecitation,
) => Some(rt::ResponseIncompleteReason::ContentFilter),
_ => None,
}
.or_else(|| {
match prompt_feedback
.as_ref()
.and_then(|feedback| feedback.block_reason.as_ref())
{
Some(gt::GeminiBlockReason::Safety)
| Some(gt::GeminiBlockReason::Blocklist)
| Some(gt::GeminiBlockReason::ProhibitedContent)
| Some(gt::GeminiBlockReason::ImageSafety) => {
Some(rt::ResponseIncompleteReason::ContentFilter)
}
_ => None,
}
});
let is_incomplete = incomplete_reason.is_some();
OpenAiCreateResponseResponse::Success {
stats_code,
headers: OpenAiResponseHeaders {
extra: headers.extra,
},
body: ResponseBody {
id: response_id,
created_at: 0,
error: None,
incomplete_details: incomplete_reason.map(|reason| {
rt::ResponseIncompleteDetails {
reason: Some(reason),
}
}),
instructions: Some(ot::ResponseInput::Text(String::new())),
metadata: BTreeMap::new(),
model: response_model,
object: rt::ResponseObject::Response,
output,
parallel_tool_calls: tool_call_count > 1,
temperature: 1.0,
tool_choice: if tool_call_count > 0 {
ot::ResponseToolChoice::Options(ot::ResponseToolChoiceOptions::Required)
} else {
ot::ResponseToolChoice::Options(ot::ResponseToolChoiceOptions::Auto)
},
tools: Vec::new(),
top_p: 1.0,
background: None,
completed_at: None,
conversation: None,
max_output_tokens: None,
max_tool_calls: None,
output_text: if output_text_parts.is_empty() {
None
} else {
Some(output_text_parts.join("\n"))
},
previous_response_id: None,
prompt: None,
prompt_cache_key: None,
prompt_cache_retention: None,
reasoning: None,
safety_identifier: None,
service_tier: None,
status: Some(if is_incomplete {
rt::ResponseStatus::Incomplete
} else {
rt::ResponseStatus::Completed
}),
text: None,
top_logprobs: None,
truncation: None,
usage,
user: None,
},
}
}
GeminiGenerateContentResponse::Error {
stats_code,
headers,
body,
} => OpenAiCreateResponseResponse::Error {
stats_code,
headers: OpenAiResponseHeaders {
extra: headers.extra,
},
body: openai_error_response_from_gemini(stats_code, body),
},
})
}
}