use super::*;
use crate::utils::strip_think_tag;
use anyhow::{bail, Context, Result};
use reqwest::RequestBuilder;
use serde::Deserialize;
use serde_json::{json, Value};
const API_BASE: &str = "https://api.anthropic.com/v1";
#[derive(Debug, Clone, Deserialize)]
pub struct ClaudeConfig {
pub name: Option<String>,
pub api_key: Option<String>,
pub api_base: Option<String>,
#[serde(default)]
pub models: Vec<ModelData>,
pub patch: Option<RequestPatch>,
pub extra: Option<ExtraConfig>,
}
impl ClaudeClient {
config_get_fn!(api_key, get_api_key);
config_get_fn!(api_base, get_api_base);
pub const PROMPTS: [PromptAction<'static>; 1] = [("api_key", "API Key", None)];
}
impl_client_trait!(
ClaudeClient,
(
prepare_chat_completions,
claude_chat_completions,
claude_chat_completions_streaming
),
(noop_prepare_embeddings, noop_embeddings),
(noop_prepare_rerank, noop_rerank),
);
fn prepare_chat_completions(
self_: &ClaudeClient,
data: ChatCompletionsData,
) -> Result<RequestData> {
let api_key = self_.get_api_key().ok();
let api_base = self_
.get_api_base()
.unwrap_or_else(|_| API_BASE.to_string());
let url = format!("{}/messages", api_base.trim_end_matches('/'));
let body = claude_build_chat_completions_body(data, &self_.model)?;
let mut request_data = RequestData::new(url, body);
request_data.header("anthropic-version", "2023-06-01");
if let Some(api_key) = api_key {
request_data.header("x-api-key", api_key)
}
Ok(request_data)
}
pub async fn claude_chat_completions(
builder: RequestBuilder,
_model: &Model,
) -> Result<ChatCompletionsOutput> {
let res = builder.send().await?;
let status = res.status();
let data: Value = res.json().await?;
if !status.is_success() {
catch_error(&data, status.as_u16())?;
}
debug!("non-stream-data: {data}");
claude_extract_chat_completions(&data)
}
pub async fn claude_chat_completions_streaming(
builder: RequestBuilder,
handler: &mut SseHandler,
_model: &Model,
) -> Result<()> {
let mut function_name = String::new();
let mut function_arguments = String::new();
let mut function_id = String::new();
let mut reasoning_state = 0;
let handle = |message: SseMmessage| -> Result<bool> {
let data: Value = serde_json::from_str(&message.data)?;
debug!("stream-data: {data}");
if let Some(typ) = data["type"].as_str() {
match typ {
"content_block_start" => {
if let (Some("tool_use"), Some(name), Some(id)) = (
data["content_block"]["type"].as_str(),
data["content_block"]["name"].as_str(),
data["content_block"]["id"].as_str(),
) {
if !function_name.is_empty() {
let arguments: Value =
function_arguments.parse().with_context(|| {
format!("Tool call '{function_name}' have non-JSON arguments '{function_arguments}'")
})?;
handler.tool_call(ToolCall::new(
function_name.clone(),
arguments,
Some(function_id.clone()),
))?;
}
function_name = name.into();
function_arguments.clear();
function_id = id.into();
}
}
"content_block_delta" => {
if let Some(text) = data["delta"]["text"].as_str() {
handler.text(text)?;
} else if let Some(text) = data["delta"]["thinking"].as_str() {
if reasoning_state == 0 {
handler.text("<think>\n")?;
reasoning_state = 1;
}
handler.text(text)?;
} else if let (true, Some(partial_json)) = (
!function_name.is_empty(),
data["delta"]["partial_json"].as_str(),
) {
function_arguments.push_str(partial_json);
}
}
"content_block_stop" => {
if reasoning_state == 1 {
handler.text("\n</think>\n\n")?;
reasoning_state = 0;
}
if !function_name.is_empty() {
let arguments: Value = if function_arguments.is_empty() {
json!({})
} else {
function_arguments.parse().with_context(|| {
format!("Tool call '{function_name}' have non-JSON arguments '{function_arguments}'")
})?
};
handler.tool_call(ToolCall::new(
function_name.clone(),
arguments,
Some(function_id.clone()),
))?;
}
}
_ => {}
}
}
Ok(false)
};
sse_stream(builder, handle).await
}
pub fn claude_build_chat_completions_body(
data: ChatCompletionsData,
model: &Model,
) -> Result<Value> {
let ChatCompletionsData {
mut messages,
temperature,
top_p,
functions,
stream,
} = data;
let system_message = extract_system_message(&mut messages);
let mut network_image_urls = vec![];
let messages_len = messages.len();
let messages: Vec<Value> = messages
.into_iter()
.enumerate()
.flat_map(|(i, message)| {
let Message { role, content } = message;
match content {
MessageContent::Text(text) if role.is_assistant() && i != messages_len - 1 => {
vec![json!({ "role": role, "content": strip_think_tag(&text) })]
}
MessageContent::Text(text) => vec![json!({
"role": role,
"content": text,
})],
MessageContent::Array(list) => {
let content: Vec<_> = list
.into_iter()
.map(|item| match item {
MessageContentPart::Text { text } => {
json!({"type": "text", "text": text})
}
MessageContentPart::ImageUrl {
image_url: ImageUrl { url },
} => {
if let Some((mime_type, data)) = url
.strip_prefix("data:")
.and_then(|v| v.split_once(";base64,"))
{
json!({
"type": "image",
"source": {
"type": "base64",
"media_type": mime_type,
"data": data,
}
})
} else {
network_image_urls.push(url.clone());
json!({ "url": url })
}
}
})
.collect();
vec![json!({
"role": role,
"content": content,
})]
}
MessageContent::ToolCalls(MessageContentToolCalls {
tool_results, text, ..
}) => {
let mut assistant_parts = vec![];
let mut user_parts = vec![];
if !text.is_empty() {
assistant_parts.push(json!({
"type": "text",
"text": text,
}))
}
for tool_result in tool_results {
assistant_parts.push(json!({
"type": "tool_use",
"id": tool_result.call.id,
"name": tool_result.call.name,
"input": tool_result.call.arguments,
}));
user_parts.push(json!({
"type": "tool_result",
"tool_use_id": tool_result.call.id,
"content": tool_result.output.to_string(),
}));
}
vec![
json!({
"role": "assistant",
"content": assistant_parts,
}),
json!({
"role": "user",
"content": user_parts,
}),
]
}
}
})
.collect();
if !network_image_urls.is_empty() {
bail!(
"The model does not support network images: {:?}",
network_image_urls
);
}
let mut body = json!({
"model": model.real_name(),
"messages": messages,
});
if let Some(v) = system_message {
body["system"] = v.into();
}
if let Some(v) = model.max_tokens_param() {
body["max_tokens"] = v.into();
}
if let Some(v) = temperature {
body["temperature"] = v.into();
}
if let Some(v) = top_p {
body["top_p"] = v.into();
}
if stream {
body["stream"] = true.into();
}
if let Some(functions) = functions {
body["tools"] = functions
.iter()
.map(|v| {
json!({
"name": v.name,
"description": v.description,
"input_schema": v.parameters,
})
})
.collect();
}
Ok(body)
}
pub fn claude_extract_chat_completions(data: &Value) -> Result<ChatCompletionsOutput> {
let mut text = String::new();
let mut reasoning = None;
let mut tool_calls = vec![];
if let Some(list) = data["content"].as_array() {
for item in list {
match item["type"].as_str() {
Some("thinking") => {
if let Some(v) = item["thinking"].as_str() {
reasoning = Some(v.to_string());
}
}
Some("text") => {
if let Some(v) = item["text"].as_str() {
if !text.is_empty() {
text.push_str("\n\n");
}
text.push_str(v);
}
}
Some("tool_use") => {
if let (Some(name), Some(input), Some(id)) = (
item["name"].as_str(),
item.get("input"),
item["id"].as_str(),
) {
tool_calls.push(ToolCall::new(
name.to_string(),
input.clone(),
Some(id.to_string()),
));
}
}
_ => {}
}
}
}
if let Some(reasoning) = reasoning {
text = format!("<think>\n{reasoning}\n</think>\n\n{text}")
}
if text.is_empty() && tool_calls.is_empty() {
bail!("Invalid response data: {data}");
}
let output = ChatCompletionsOutput {
text: text.to_string(),
tool_calls,
id: data["id"].as_str().map(|v| v.to_string()),
input_tokens: data["usage"]["input_tokens"].as_u64(),
output_tokens: data["usage"]["output_tokens"].as_u64(),
};
Ok(output)
}