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use crate::gemini::count_tokens::types::{GeminiContentRole, GeminiFunctionCall, GeminiPart};
use crate::gemini::generate_content::response::{GeminiGenerateContentResponse, ResponseBody};
use crate::gemini::generate_content::types::{
GeminiBlockReason, GeminiCandidate, GeminiContent, GeminiFinishReason, GeminiPromptFeedback,
GeminiUsageMetadata,
};
use crate::gemini::types::GeminiResponseHeaders;
use crate::openai::count_tokens::types::{
ResponseCustomToolCallOutputContent, ResponseFunctionCallOutputContent, ResponseInputContent,
};
use crate::openai::create_response::response::OpenAiCreateResponseResponse;
use crate::openai::create_response::types::{ResponseIncompleteReason, ResponseOutputItem};
use crate::transform::gemini::generate_content::utils::{
gemini_error_response_from_openai, parse_json_object_or_empty,
};
use crate::transform::utils::TransformError;
impl TryFrom<OpenAiCreateResponseResponse> for GeminiGenerateContentResponse {
type Error = TransformError;
fn try_from(value: OpenAiCreateResponseResponse) -> Result<Self, TransformError> {
Ok(match value {
OpenAiCreateResponseResponse::Success {
stats_code,
headers,
body,
} => {
let input_content_to_text = |items: Vec<ResponseInputContent>| {
items
.into_iter()
.filter_map(|item| match item {
ResponseInputContent::Text(text) => Some(text.text),
ResponseInputContent::Image(image) => {
if let Some(url) = image.image_url {
Some(url)
} else {
image.file_id.map(|file_id| format!("file:{file_id}"))
}
}
ResponseInputContent::File(file) => {
if let Some(data) = file.file_data {
Some(data)
} else if let Some(url) = file.file_url {
Some(url)
} else if let Some(file_id) = file.file_id {
Some(format!("file:{file_id}"))
} else {
file.filename
}
}
})
.collect::<Vec<_>>()
.join("\n")
};
let mut parts = Vec::new();
let mut has_tool_call = false;
let mut has_refusal = false;
for item in body.output {
match item {
ResponseOutputItem::Message(message) => {
for content in message.content {
match content {
crate::openai::count_tokens::types::ResponseOutputContent::Text(
text,
) => {
if !text.text.is_empty() {
parts.push(GeminiPart {
text: Some(text.text),
..GeminiPart::default()
});
}
}
crate::openai::count_tokens::types::ResponseOutputContent::Refusal(
refusal,
) => {
has_refusal = true;
if !refusal.refusal.is_empty() {
parts.push(GeminiPart {
text: Some(refusal.refusal),
..GeminiPart::default()
});
}
}
}
}
}
ResponseOutputItem::FunctionToolCall(call) => {
has_tool_call = true;
parts.push(GeminiPart {
function_call: Some(GeminiFunctionCall {
id: call.id.or(Some(call.call_id)),
name: call.name,
args: Some(parse_json_object_or_empty(&call.arguments)),
}),
..GeminiPart::default()
});
}
ResponseOutputItem::CustomToolCall(call) => {
has_tool_call = true;
parts.push(GeminiPart {
function_call: Some(GeminiFunctionCall {
id: call.id.or(Some(call.call_id)),
name: call.name,
args: Some(parse_json_object_or_empty(&call.input)),
}),
..GeminiPart::default()
});
}
ResponseOutputItem::ReasoningItem(item) => {
let thought_signature = item.id.clone().filter(|id| !id.is_empty());
for summary in item.summary {
if !summary.text.is_empty() {
parts.push(GeminiPart {
thought: Some(true),
thought_signature: thought_signature.clone(),
text: Some(summary.text),
..GeminiPart::default()
});
}
}
if let Some(content) = item.content {
for reasoning_text in content {
if !reasoning_text.text.is_empty() {
parts.push(GeminiPart {
thought: Some(true),
thought_signature: thought_signature.clone(),
text: Some(reasoning_text.text),
..GeminiPart::default()
});
}
}
}
if let Some(encrypted_content) = item.encrypted_content
&& !encrypted_content.is_empty()
{
parts.push(GeminiPart {
thought: Some(true),
thought_signature,
text: Some(encrypted_content),
..GeminiPart::default()
});
}
}
ResponseOutputItem::FunctionCallOutput(call) => {
let output = match call.output {
ResponseFunctionCallOutputContent::Text(text) => text,
ResponseFunctionCallOutputContent::Content(items) => {
input_content_to_text(items)
}
};
if !output.is_empty() {
parts.push(GeminiPart {
text: Some(output),
..GeminiPart::default()
});
}
}
ResponseOutputItem::CustomToolCallOutput(call) => {
let output = match call.output {
ResponseCustomToolCallOutputContent::Text(text) => text,
ResponseCustomToolCallOutputContent::Content(items) => {
input_content_to_text(items)
}
};
if !output.is_empty() {
parts.push(GeminiPart {
text: Some(output),
..GeminiPart::default()
});
}
}
ResponseOutputItem::ShellCallOutput(call) => {
let output = call
.output
.into_iter()
.map(|entry| {
format!("stdout: {}\nstderr: {}", entry.stdout, entry.stderr)
})
.collect::<Vec<_>>()
.join("\n");
if !output.is_empty() {
parts.push(GeminiPart {
text: Some(output),
..GeminiPart::default()
});
}
}
ResponseOutputItem::LocalShellCallOutput(call)
if !call.output.is_empty() =>
{
parts.push(GeminiPart {
text: Some(call.output),
..GeminiPart::default()
});
}
ResponseOutputItem::McpCall(call) => {
if let Some(output) = call.output
&& !output.is_empty()
{
parts.push(GeminiPart {
text: Some(output),
..GeminiPart::default()
});
}
if let Some(error) = call.error
&& !error.is_empty()
{
has_refusal = true;
parts.push(GeminiPart {
text: Some(error),
..GeminiPart::default()
});
}
}
ResponseOutputItem::ImageGenerationCall(call)
if call.result.as_deref().is_some_and(|s| !s.is_empty()) =>
{
parts.push(GeminiPart {
text: Some(call.result.unwrap_or_default()),
..GeminiPart::default()
});
}
_ => {}
}
}
if parts.is_empty() {
parts.push(GeminiPart {
text: body.output_text.clone().or(Some(String::new())),
..GeminiPart::default()
});
}
let incomplete_reason = body
.incomplete_details
.as_ref()
.and_then(|details| details.reason.as_ref());
let finish_reason = match incomplete_reason {
Some(ResponseIncompleteReason::MaxOutputTokens) => {
Some(GeminiFinishReason::MaxTokens)
}
Some(ResponseIncompleteReason::ContentFilter) => {
Some(GeminiFinishReason::Safety)
}
None => {
if has_tool_call {
Some(GeminiFinishReason::UnexpectedToolCall)
} else if has_refusal {
Some(GeminiFinishReason::Safety)
} else {
Some(GeminiFinishReason::Stop)
}
}
};
let prompt_feedback = if matches!(
incomplete_reason,
Some(ResponseIncompleteReason::ContentFilter)
) {
Some(GeminiPromptFeedback {
block_reason: Some(GeminiBlockReason::Safety),
safety_ratings: None,
})
} else {
None
};
let usage_metadata = body.usage.map(|usage| GeminiUsageMetadata {
prompt_token_count: Some(usage.input_tokens),
cached_content_token_count: Some(usage.input_tokens_details.cached_tokens),
candidates_token_count: Some(usage.output_tokens),
thoughts_token_count: Some(usage.output_tokens_details.reasoning_tokens),
total_token_count: Some(usage.total_tokens),
..GeminiUsageMetadata::default()
});
GeminiGenerateContentResponse::Success {
stats_code,
headers: GeminiResponseHeaders {
extra: headers.extra,
},
body: ResponseBody {
candidates: Some(vec![GeminiCandidate {
content: Some(GeminiContent {
parts,
role: Some(GeminiContentRole::Model),
}),
finish_reason,
index: Some(0),
..GeminiCandidate::default()
}]),
prompt_feedback,
usage_metadata,
model_version: Some(body.model),
response_id: Some(body.id),
model_status: None,
},
}
}
OpenAiCreateResponseResponse::Error {
stats_code,
headers,
body,
} => GeminiGenerateContentResponse::Error {
stats_code,
headers: GeminiResponseHeaders {
extra: headers.extra,
},
body: gemini_error_response_from_openai(stats_code, body),
},
})
}
}