matrixcode-core 0.3.7

use anyhow::Result;
use async_trait::async_trait;
use futures_util::StreamExt;
use log::debug;
use serde_json::{Value, json};
use tokio::sync::mpsc;

use crate::tools::ToolDefinition;

use super::{
    ChatRequest, ChatResponse, ContentBlock, Message, MessageContent, Provider, Role, StopReason,
    StreamEvent, Usage,
};

pub struct AnthropicProvider {
    api_key: String,
    model: String,
    base_url: String,
    client: reqwest::Client,
    /// Whether this is an Aliyun DashScope endpoint (requires special headers).
    is_dashscope: bool,
}

impl AnthropicProvider {
    pub fn new(api_key: String, model: String, base_url: String) -> Self {
        let is_dashscope = base_url.contains("dashscope.aliyuncs.com");
        Self {
            api_key,
            model,
            base_url,
            client: reqwest::Client::new(),
            is_dashscope,
        }
    }

    fn convert_messages(&self, messages: &[Message]) -> Vec<Value> {
        messages
            .iter()
            .filter(|m| m.role != Role::System)
            .map(|m| {
                let role = match m.role {
                    Role::User | Role::Tool => "user",
                    Role::Assistant => "assistant",
                    Role::System => unreachable!(),
                };

                let content = match &m.content {
                    MessageContent::Text(text) => json!(text),
                    MessageContent::Blocks(blocks) => {
                        let converted: Vec<Value> = blocks
                            .iter()
                            .map(|b| match b {
                                ContentBlock::Text { text } => json!({"type": "text", "text": text}),
                                ContentBlock::ToolUse { id, name, input } => {
                                    json!({"type": "tool_use", "id": id, "name": name, "input": input})
                                }
                                ContentBlock::ToolResult { tool_use_id, content } => {
                                    json!({"type": "tool_result", "tool_use_id": tool_use_id, "content": content})
                                }
                                ContentBlock::Thinking { thinking, signature } => {
                                    let mut obj = json!({"type": "thinking", "thinking": thinking});
                                    if let Some(sig) = signature {
                                        obj["signature"] = json!(sig);
                                    }
                                    obj
                                }
                                ContentBlock::ServerToolUse { id, name, input } => {
                                    json!({"type": "server_tool_use", "id": id, "name": name, "input": input})
                                }
                                ContentBlock::WebSearchResult { tool_use_id, content } => {
                                    json!({"type": "web_search_tool_result", "tool_use_id": tool_use_id, "content": content})
                                }
                            })
                            .collect();
                        json!(converted)
                    }
                };

                json!({"role": role, "content": content})
            })
            .collect()
    }

    /// Convert tools with caching control for Anthropic prompt caching.
    fn convert_tools_with_caching(&self, tools: &[ToolDefinition], enable_caching: bool) -> Vec<Value> {
        let mut converted: Vec<Value> = tools
            .iter()
            .map(|t| {
                json!({
                    "name": t.name,
                    "description": t.description,
                    "input_schema": t.parameters,
                })
            })
            .collect();
        
        // Add cache_control to the last tool definition for tools caching
        if enable_caching && !converted.is_empty() {
            let last_idx = converted.len() - 1;
            if let Some(obj) = converted[last_idx].as_object_mut() {
                obj.insert("cache_control".to_string(), json!({"type": "ephemeral"}));
            }
        }
        
        converted
    }

    /// Build the base JSON body shared by streaming and non-streaming requests.
    fn build_body(&self, request: &ChatRequest) -> Value {
        let mut body = json!({
            "model": self.model,
            "max_tokens": request.max_tokens,
            "messages": self.convert_messages(&request.messages),
        });

        // Add prompt caching for system prompt (Anthropic-specific)
        if request.enable_caching && !self.is_dashscope {
            if let Some(system) = &request.system {
                // System prompt caching: add cache_control to enable caching
                body["system"] = json!([
                    {
                        "type": "text",
                        "text": system,
                        "cache_control": {"type": "ephemeral"}
                    }
                ]);
            }
        } else if let Some(system) = &request.system {
            body["system"] = json!(system);
        }

        if !request.tools.is_empty() {
            let tools = self.convert_tools_with_caching(&request.tools, request.enable_caching && !self.is_dashscope);
            body["tools"] = json!(tools);
        }

        if !request.server_tools.is_empty() {
            body["tools"] = json!(body["tools"]
                .as_array()
                .map(|t| {
                    let mut tools = t.clone();
                    for st in &request.server_tools {
                        tools.push(serde_json::to_value(st).unwrap_or_default());
                    }
                    tools
                })
                .unwrap_or_else(|| request.server_tools.iter().map(|st| serde_json::to_value(st).unwrap_or_default()).collect()));
        }

        // DashScope does not support Anthropic's extended thinking feature
        if request.think && !self.is_dashscope {
            body["thinking"] = thinking_config(&self.model);
        }

        body
    }
}

/// Models that require the new `adaptive` thinking mode instead of the
/// legacy `enabled`+`budget_tokens` form. Conservative allow-list: if we
/// don't recognize the name we default to the legacy shape (which older
/// models and most third-party gateways understand).
fn thinking_config(model: &str) -> Value {
    let adaptive = model.contains("opus-4-7") || model.contains("opus-4.7");
    if adaptive {
        json!({"type": "adaptive"})
    } else {
        json!({"type": "enabled", "budget_tokens": 2048})
    }
}

#[async_trait]
impl Provider for AnthropicProvider {
    fn context_size(&self) -> Option<u32> {
        context_window_for(&self.model)
    }

    fn clone_box(&self) -> Box<dyn Provider> {
        Box::new(Self {
            api_key: self.api_key.clone(),
            model: self.model.clone(),
            base_url: self.base_url.clone(),
            client: reqwest::Client::new(),
            is_dashscope: self.is_dashscope,
        })
    }

    async fn chat(&self, request: ChatRequest) -> Result<ChatResponse> {
        let body = self.build_body(&request);

        let url = format!("{}/v1/messages", self.base_url);
        let mut req = self
            .client
            .post(&url)
            .header("User-Agent", "curl/8.0")
            .json(&body);

        // DashScope uses Bearer auth
        if self.is_dashscope {
            req = req.header("Authorization", format!("Bearer {}", self.api_key));
        } else {
            req = req.header("x-api-key", &self.api_key)
                .header("anthropic-version", "2023-06-01")
                .header("anthropic-beta", "prompt-caching-2024-07-31");
        }

        let response = req.send().await?;

        let status = response.status();
        let response_body: Value = response.json().await?;

        if !status.is_success() {
            let err_msg = response_body["error"]["message"]
                .as_str()
                .unwrap_or("unknown error");
            anyhow::bail!("Anthropic API error ({}): {}", status, err_msg);
        }

        let stop_reason = match response_body["stop_reason"].as_str() {
            Some("tool_use") => StopReason::ToolUse,
            Some("max_tokens") => StopReason::MaxTokens,
            _ => StopReason::EndTurn,
        };

        let content = response_body["content"]
            .as_array()
            .unwrap_or(&vec![])
            .iter()
            .filter_map(|block| match block["type"].as_str()? {
                "text" => Some(ContentBlock::Text {
                    text: block["text"].as_str()?.to_string(),
                }),
                "tool_use" => Some(ContentBlock::ToolUse {
                    id: block["id"].as_str()?.to_string(),
                    name: block["name"].as_str()?.to_string(),
                    input: block["input"].clone(),
                }),
                "thinking" => Some(ContentBlock::Thinking {
                    thinking: block["thinking"].as_str()?.to_string(),
                    signature: block["signature"].as_str().map(String::from),
                }),
                "server_tool_use" => Some(ContentBlock::ServerToolUse {
                    id: block["id"].as_str()?.to_string(),
                    name: block["name"].as_str()?.to_string(),
                    input: block["input"].clone(),
                }),
                "web_search_tool_result" => {
                    let tool_use_id = block["tool_use_id"].as_str()?.to_string();
                    let content = parse_web_search_content(&block["content"]);
                    Some(ContentBlock::WebSearchResult {
                        tool_use_id,
                        content,
                    })
                }
                _ => None,
            })
            .collect();

        Ok(ChatResponse {
            content,
            stop_reason,
            usage: parse_usage(&response_body["usage"]),
        })
    }

    async fn chat_stream(&self, request: ChatRequest) -> Result<mpsc::Receiver<StreamEvent>> {
        let mut body = self.build_body(&request);
        body["stream"] = json!(true);

        let url = format!("{}/v1/messages", self.base_url);
        let mut req = self
            .client
            .post(&url)
            .header("User-Agent", "curl/8.0")
            .json(&body);

        // DashScope uses Bearer auth and requires SSE header for streaming
        if self.is_dashscope {
            req = req
                .header("Authorization", format!("Bearer {}", self.api_key))
                .header("X-DashScope-SSE", "enable");
        } else {
            req = req.header("x-api-key", &self.api_key)
                .header("anthropic-version", "2023-06-01")
                .header("anthropic-beta", "prompt-caching-2024-07-31");
        }

        let response = req.send().await?;

        if !response.status().is_success() {
            let status = response.status();
            let text = response.text().await.unwrap_or_default();
            anyhow::bail!("Anthropic API error ({}): {}", status, text);
        }

        let (tx, rx) = mpsc::channel(64);
        tokio::spawn(async move {
            let mut stream = response.bytes_stream();
            let mut buffer = String::new();
            let mut sent_first_byte = false;

            // In-flight block assembly: index → partial data
            let mut blocks: Vec<AssembledBlock> = Vec::new();
            let mut stop_reason = StopReason::EndTurn;
            let mut usage = Usage::default();

            while let Some(chunk) = stream.next().await {
                let chunk = match chunk {
                    Ok(c) => c,
                    Err(e) => {
                        let _ = tx
                            .send(StreamEvent::Error(format!("stream read error: {}", e)))
                            .await;
                        return;
                    }
                };

                if !sent_first_byte {
                    sent_first_byte = true;
                    let _ = tx.send(StreamEvent::FirstByte).await;
                }

                buffer.push_str(&String::from_utf8_lossy(&chunk));

                while let Some(frame) = take_next_sse_frame(&mut buffer) {
                    if handle_sse_frame(
                        &frame,
                        &mut blocks,
                        &mut stop_reason,
                        &mut usage,
                        &tx,
                    )
                    .await
                    {
                        return;
                    }
                }
            }

            if let Some(frame) = take_trailing_sse_frame(&mut buffer)
                && handle_sse_frame(&frame, &mut blocks, &mut stop_reason, &mut usage, &tx).await {
                    return;
                }

            if sent_first_byte {
                debug!(
                    "stream ended without explicit message_stop; finalizing best-effort"
                );
                let _ = tx
                    .send(StreamEvent::Done(finalize_incomplete_stream(
                        std::mem::take(&mut blocks),
                        stop_reason,
                        usage,
                    )))
                    .await;
            } else {
                let _ = tx
                    .send(StreamEvent::Error(
                        "stream ended before any events were received".to_string(),
                    ))
                    .await;
            }
        });

        Ok(rx)
    }
}

fn take_next_sse_frame(buffer: &mut String) -> Option<String> {
    let lf = buffer.find("\n\n").map(|pos| (pos, 2usize));
    let crlf = buffer.find("\r\n\r\n").map(|pos| (pos, 4usize));
    let (pos, delim_len) = match (lf, crlf) {
        (Some(a), Some(b)) => {
            if a.0 <= b.0 {
                a
            } else {
                b
            }
        }
        (Some(a), None) => a,
        (None, Some(b)) => b,
        (None, None) => return None,
    };

    let frame = buffer[..pos].to_string();
    buffer.drain(..pos + delim_len);
    Some(frame)
}

fn take_trailing_sse_frame(buffer: &mut String) -> Option<String> {
    let frame = buffer.trim().trim_end_matches('\r').to_string();
    buffer.clear();
    if frame.is_empty() {
        None
    } else {
        Some(frame)
    }
}

fn extract_sse_data_line(frame: &str) -> Option<String> {
    for line in frame.lines() {
        let line = line.trim_end_matches('\r');
        // Support both "data: " (Anthropic) and "data:" (DashScope)
        if let Some(rest) = line.strip_prefix("data: ") {
            return Some(rest.to_string());
        }
        if let Some(rest) = line.strip_prefix("data:") {
            return Some(rest.to_string());
        }
    }
    None
}

async fn handle_sse_frame(
    frame: &str,
    blocks: &mut Vec<AssembledBlock>,
    stop_reason: &mut StopReason,
    usage: &mut Usage,
    tx: &mpsc::Sender<StreamEvent>,
) -> bool {
    let Some(data_line) = extract_sse_data_line(frame) else {
        return false;
    };

    let evt: Value = match serde_json::from_str(&data_line) {
        Ok(v) => v,
        Err(_) => return false,
    };

    handle_sse_event(evt, blocks, stop_reason, usage, tx).await
}

async fn handle_sse_event(
    evt: Value,
    blocks: &mut Vec<AssembledBlock>,
    stop_reason: &mut StopReason,
    usage: &mut Usage,
    tx: &mpsc::Sender<StreamEvent>,
) -> bool {
    match evt["type"].as_str().unwrap_or("") {
        "message_start" => {
            // Initial usage payload — `input_tokens` is final
            // (they don't grow during streaming) but
            // `output_tokens` starts near 0 and is updated by
            // subsequent `message_delta` events.
            *usage = merge_usage(usage.clone(), &evt["message"]["usage"]);
            debug!(
                "message_start: usage_json={}",
                serde_json::to_string(&evt["message"]["usage"]).unwrap_or_default()
            );
            debug!(
                "message_start parsed: input={}, output={}, cache_read={}, cache_created={}",
                usage.input_tokens, usage.output_tokens,
                usage.cache_read_input_tokens, usage.cache_creation_input_tokens
            );
        }
        "content_block_start" => {
            let idx = evt["index"].as_u64().unwrap_or(0) as usize;
            let block = &evt["content_block"];
            let kind = block["type"].as_str().unwrap_or("");
            while blocks.len() <= idx {
                blocks.push(AssembledBlock::default());
            }
            match kind {
                "text" => {
                    blocks[idx] = AssembledBlock::Text(String::new());
                }
                "thinking" => {
                    blocks[idx] = AssembledBlock::Thinking {
                        text: String::new(),
                        signature: None,
                    };
                }
                "tool_use" => {
                    let id = block["id"].as_str().unwrap_or("").to_string();
                    let name = block["name"].as_str().unwrap_or("").to_string();
                    blocks[idx] = AssembledBlock::ToolUse {
                        id: id.clone(),
                        name: name.clone(),
                        input_json: String::new(),
                    };
                    let _ = tx.send(StreamEvent::ToolUseStart { id, name }).await;
                }
                "server_tool_use" => {
                    let id = block["id"].as_str().unwrap_or("").to_string();
                    let name = block["name"].as_str().unwrap_or("").to_string();
                    blocks[idx] = AssembledBlock::ServerToolUse {
                        id: id.clone(),
                        name: name.clone(),
                        input_json: String::new(),
                    };
                    let _ = tx.send(StreamEvent::ToolUseStart { id, name }).await;
                }
                "web_search_tool_result" => {
                    let tool_use_id = block["tool_use_id"].as_str().unwrap_or("").to_string();
                    blocks[idx] = AssembledBlock::WebSearchResult {
                        tool_use_id,
                        content_json: String::new(),
                    };
                }
                _ => {}
            }
        }
        "content_block_delta" => {
            let idx = evt["index"].as_u64().unwrap_or(0) as usize;
            let delta = &evt["delta"];
            let dt = delta["type"].as_str().unwrap_or("");
            if idx >= blocks.len() {
                return false;
            }
            match (dt, &mut blocks[idx]) {
                ("text_delta", AssembledBlock::Text(buf)) => {
                    if let Some(t) = delta["text"].as_str() {
                        buf.push_str(t);
                        let _ = tx.send(StreamEvent::TextDelta(t.to_string())).await;
                    }
                }
                ("thinking_delta", AssembledBlock::Thinking { text, .. }) => {
                    if let Some(t) = delta["thinking"].as_str() {
                        text.push_str(t);
                        let _ = tx.send(StreamEvent::ThinkingDelta(t.to_string())).await;
                    }
                }
                ("signature_delta", AssembledBlock::Thinking { signature, .. }) => {
                    if let Some(s) = delta["signature"].as_str() {
                        signature.get_or_insert_with(String::new).push_str(s);
                    }
                }
                ("input_json_delta", AssembledBlock::ToolUse { input_json, .. }) => {
                    if let Some(p) = delta["partial_json"].as_str() {
                        input_json.push_str(p);
                        let _ = tx
                            .send(StreamEvent::ToolInputDelta {
                                bytes_so_far: input_json.len(),
                            })
                            .await;
                    }
                }
                ("input_json_delta", AssembledBlock::ServerToolUse { input_json, .. }) => {
                    if let Some(p) = delta["partial_json"].as_str() {
                        input_json.push_str(p);
                        let _ = tx
                            .send(StreamEvent::ToolInputDelta {
                                bytes_so_far: input_json.len(),
                            })
                            .await;
                    }
                }
                _ => {}
            }
        }
        "message_delta" => {
            if let Some(sr) = evt["delta"]["stop_reason"].as_str() {
                *stop_reason = match sr {
                    "tool_use" => StopReason::ToolUse,
                    "max_tokens" => StopReason::MaxTokens,
                    _ => StopReason::EndTurn,
                };
            }
            // `usage` on message_delta reflects cumulative
            // counts for the current message — most notably
            // the final `output_tokens`.
            *usage = merge_usage(usage.clone(), &evt["usage"]);
            debug!(
                "message_delta: input={}, output={}, cache_read={}, cache_created={}",
                usage.input_tokens, usage.output_tokens,
                usage.cache_read_input_tokens, usage.cache_creation_input_tokens
            );
        }
        "message_stop" => {
            debug!(
                "Message completed: stop_reason={}, usage={}",
                match *stop_reason {
                    StopReason::EndTurn => "end_turn",
                    StopReason::ToolUse => "tool_use",
                    StopReason::MaxTokens => "max_tokens",
                },
                usage.output_tokens
            );
            debug!(
                "message_stop final usage: cache_read={}, cache_created={}",
                usage.cache_read_input_tokens, usage.cache_creation_input_tokens
            );
            let _ = tx
                .send(StreamEvent::Done(finalize_incomplete_stream(
                    std::mem::take(blocks),
                    stop_reason.clone(),
                    usage.clone(),
                )))
                .await;
            return true;
        }
        "error" => {
            let msg = evt["error"]["message"]
                .as_str()
                .unwrap_or("unknown stream error")
                .to_string();
            let _ = tx.send(StreamEvent::Error(msg)).await;
            return true;
        }
        _ => {}
    }

    false
}

fn build_chat_response(
    blocks: Vec<AssembledBlock>,
    stop_reason: StopReason,
    usage: Usage,
) -> ChatResponse {
    let content: Vec<ContentBlock> = blocks.into_iter().filter_map(|b| b.finish()).collect();
    ChatResponse {
        content,
        stop_reason,
        usage,
    }
}

fn finalize_incomplete_stream(
    blocks: Vec<AssembledBlock>,
    stop_reason: StopReason,
    usage: Usage,
) -> ChatResponse {
    build_chat_response(blocks, stop_reason, usage)
}

#[derive(Default)]
enum AssembledBlock {
    #[default]
    Empty,
    Text(String),
    Thinking {
        text: String,
        signature: Option<String>,
    },
    ToolUse {
        id: String,
        name: String,
        input_json: String,
    },
    ServerToolUse {
        id: String,
        name: String,
        input_json: String,
    },
    WebSearchResult {
        tool_use_id: String,
        content_json: String,
    },
}

impl AssembledBlock {
    fn finish(self) -> Option<ContentBlock> {
        match self {
            AssembledBlock::Empty => None,
            AssembledBlock::Text(text) => Some(ContentBlock::Text { text }),
            AssembledBlock::Thinking { text, signature } => Some(ContentBlock::Thinking {
                thinking: text,
                signature,
            }),
            AssembledBlock::ToolUse {
                id,
                name,
                input_json,
            } => {
                let input: Value = if input_json.is_empty() {
                    json!({})
                } else {
                    serde_json::from_str(&input_json).unwrap_or(json!({}))
                };
                Some(ContentBlock::ToolUse { id, name, input })
            }
            AssembledBlock::ServerToolUse {
                id,
                name,
                input_json,
            } => {
                let input: Value = if input_json.is_empty() {
                    json!({})
                } else {
                    serde_json::from_str(&input_json).unwrap_or(json!({}))
                };
                Some(ContentBlock::ServerToolUse { id, name, input })
            }
            AssembledBlock::WebSearchResult {
                tool_use_id,
                content_json,
            } => {
                let content: Value = if content_json.is_empty() {
                    json!({"results": []})
                } else {
                    serde_json::from_str(&content_json).unwrap_or(json!({"results": []}))
                };
                Some(ContentBlock::WebSearchResult {
                    tool_use_id,
                    content: parse_web_search_content(&content),
                })
            }
        }
    }
}

/// Parse the provider's `usage` blob (non-streaming response) into our
/// internal `Usage` struct. Missing fields default to 0.
fn parse_usage(u: &Value) -> Usage {
    Usage {
        input_tokens: u["input_tokens"].as_u64().unwrap_or(0) as u32,
        output_tokens: u["output_tokens"].as_u64().unwrap_or(0) as u32,
        cache_creation_input_tokens: u["cache_creation_input_tokens"].as_u64().unwrap_or(0) as u32,
        cache_read_input_tokens: u["cache_read_input_tokens"].as_u64().unwrap_or(0) as u32,
    }
}

/// Merge a fresh usage payload into the accumulated one. Non-zero new values
/// override prior ones — this matches the streaming protocol where
/// `message_start` gives input counts and `message_delta` updates output.
fn merge_usage(mut acc: Usage, u: &Value) -> Usage {
    let fresh = parse_usage(u);
    if fresh.input_tokens > 0 {
        acc.input_tokens = fresh.input_tokens;
    }
    if fresh.output_tokens > 0 {
        acc.output_tokens = fresh.output_tokens;
    }
    if fresh.cache_creation_input_tokens > 0 {
        acc.cache_creation_input_tokens = fresh.cache_creation_input_tokens;
    }
    if fresh.cache_read_input_tokens > 0 {
        acc.cache_read_input_tokens = fresh.cache_read_input_tokens;
    }
    acc
}

/// Parse web search content from the API response.
fn parse_web_search_content(value: &serde_json::Value) -> crate::providers::WebSearchContent {
    let results = value["results"]
        .as_array()
        .map(|arr| {
            arr.iter()
                .filter_map(|item| {
                    Some(crate::providers::WebSearchResultItem {
                        title: item["title"].as_str().map(String::from),
                        url: item["url"].as_str()?.to_string(),
                        encrypted_content: item["encrypted_content"].as_str().map(String::from),
                        snippet: item["snippet"].as_str().map(String::from),
                    })
                })
                .collect()
        })
        .unwrap_or_default();

    crate::providers::WebSearchContent { results }
}

/// Best-effort mapping from an Anthropic-ish model name to its context
/// window size. Honours the `CONTEXT_SIZE` env variable first so users
/// can pin a value when running through a proxy gateway (e.g. Kimi via
/// an Anthropic-shaped endpoint). Returns `None` only when we truly
/// cannot infer; callers treat that as "hide the fullness bar".
fn context_window_for(model: &str) -> Option<u32> {
    if let Ok(raw) = std::env::var("CONTEXT_SIZE")
        && let Ok(n) = raw.trim().parse::<u32>()
            && n > 0 {
                return Some(n);
            }
    let m = model.to_ascii_lowercase();
    
    // Claude Opus 4.7 and the 1M-context variants expose a 1M window.
    if m.contains("[1m]") || m.contains("opus-4-7") || m.contains("opus-4.7") {
        return Some(1_000_000);
    }
    // Claude 3.5/4 series: 200K standard window
    if m.contains("claude-3") || m.contains("claude-4") || m.contains("claude-opus") || m.contains("claude-sonnet") {
        return Some(200_000);
    }
    // Claude 2: 100K
    if m.contains("claude-2") {
        return Some(100_000);
    }
    // Claude Instant: 100K
    if m.contains("claude-instant") {
        return Some(100_000);
    }
    // Kimi K2 / K2.5 ship with a 128K window on the public endpoint.
    if m.contains("kimi") {
        return Some(128_000);
    }
    // DeepSeek via Anthropic endpoint
    if m.contains("deepseek") {
        return Some(128_000);
    }
    // GLM models (Zhipu AI) via Anthropic-compatible endpoints
    // GLM-4 has 128K, GLM-5 typically has 128K context
    if m.contains("glm") {
        return Some(128_000);
    }
    // Qwen models via Anthropic-compatible endpoints (DashScope)
    if m.contains("qwen") {
        if m.contains("qwen-max") || m.contains("qwen2.5") {
            return Some(128_000);
        }
        return Some(32_000);
    }
    // Default fallback for unknown models: assume 128K (reasonable for modern models)
    // This ensures context usage is always displayed
    Some(128_000)
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn take_next_sse_frame_supports_crlf_delimiter() {
        let mut buffer = concat!(
            "event: message_start\r\n",
            "data: {\"type\":\"message_start\"}\r\n\r\n",
            "data: {\"type\":\"message_stop\"}\r\n\r\n"
        )
        .to_string();

        let first = take_next_sse_frame(&mut buffer).expect("first frame");
        assert!(first.contains("message_start"));

        let second = take_next_sse_frame(&mut buffer).expect("second frame");
        assert!(second.contains("message_stop"));
        assert!(buffer.is_empty());
    }

    #[test]
    fn take_trailing_sse_frame_returns_unterminated_event() {
        let mut buffer = "data: {\"type\":\"message_stop\"}\r\n".to_string();
        let frame = take_trailing_sse_frame(&mut buffer).expect("trailing frame");
        assert_eq!(frame, "data: {\"type\":\"message_stop\"}");
        assert!(buffer.is_empty());
    }

    #[test]
    fn extract_sse_data_line_supports_optional_space() {
        assert_eq!(
            extract_sse_data_line("event: x\r\ndata: {\"k\":1}\r"),
            Some("{\"k\":1}".to_string())
        );
        assert_eq!(
            extract_sse_data_line("event: x\r\ndata:{\"k\":2}\r"),
            Some("{\"k\":2}".to_string())
        );
    }

    #[test]
    fn finalize_incomplete_stream_keeps_accumulated_content() {
        let response = finalize_incomplete_stream(
            vec![AssembledBlock::Text("partial reply".to_string())],
            StopReason::EndTurn,
            Usage::default(),
        );

        assert_eq!(response.stop_reason, StopReason::EndTurn);
        assert_eq!(response.content.len(), 1);
        match &response.content[0] {
            ContentBlock::Text { text } => assert_eq!(text, "partial reply"),
            other => panic!("unexpected block: {other:?}"),
        }
    }
}