deepstrike-sdk 0.2.37

use async_trait::async_trait;
use compact_str::CompactString;
use deepstrike_core::context::renderer::RenderedContext;
use deepstrike_core::runtime::session::ProviderReplay;
use deepstrike_core::types::message::{Content, Message, Role, ToolCall, ToolSchema};
use futures::{Stream, StreamExt};

pub mod anthropic;
pub mod openai;

/// Opaque per-run state owned by the provider (e.g. OpenAI Responses continuation).
pub type ProviderRunState = serde_json::Value;

/// Per-model execution policy returned by providers.
/// Three-layer merge in RuntimeRunner: RuntimeOptions > provider > defaults.
#[derive(Debug, Clone, Default)]
pub struct RuntimePolicy {
    pub max_turns: Option<u32>,
    pub timeout_ms: Option<u64>,
}

/// Stream event emitted by providers.
#[derive(Debug, Clone)]
pub enum StreamEvent {
    TextDelta {
        delta: String,
    },
    ThinkingDelta {
        delta: String,
    },
    ToolCall {
        id: String,
        name: String,
        arguments: serde_json::Value,
    },
    /// Token usage from the provider (e.g. OpenAI `stream_options.include_usage`).
    Usage {
        total_tokens: u32,
        /// Full prompt size: uncached input + cache reads + cache writes.
        input_tokens: u32,
        output_tokens: u32,
        /// Prompt tokens served from cache (billed ~0.1x). Subset of input_tokens.
        cache_read_input_tokens: u32,
        /// Prompt tokens written to cache (billed ~1.25x). Subset of input_tokens.
        cache_creation_input_tokens: u32,
        /// I1: pro-rata per-slot attribution of `cache_read_input_tokens` (Anthropic only).
        /// `None` when the provider doesn't honor `cache_control` or when no breakpoints were
        /// placed. Estimated (Anthropic returns a single scalar) — see helper docs.
        cache_read_input_tokens_by_slot: Option<CacheReadBySlot>,
        /// Provider stop reason — `max_tokens` (Anthropic) / `length` (OpenAI) flag an output-cap
        /// truncation that drives the kernel's max-output-tokens recovery. `None` when not reported.
        stop_reason: Option<String>,
    },
    Done,
}

/// I1: per-slot attribution of Anthropic cache_read_input_tokens. Each field is `None` when that
/// slot did not carry a `cache_control` breakpoint on the request. Mirrors the Node SDK shape.
#[derive(Debug, Clone, Default)]
pub struct CacheReadBySlot {
    pub system: Option<u32>,
    pub tools: Option<u32>,
    pub messages: Option<u32>,
}

#[async_trait]
pub trait LLMProvider: Send + Sync {
    /// Optional per-run state for protocol-native continuation (e.g. Responses API).
    fn create_run_state(&self) -> Option<ProviderRunState> {
        None
    }

    /// Per-model runtime policy. Overridden by RuntimeOptions fields when set.
    fn runtime_policy(&self) -> RuntimePolicy {
        RuntimePolicy::default()
    }

    fn peek_provider_replay(
        &self,
        _content: &str,
        _tool_calls: &[ToolCall],
    ) -> Option<ProviderReplay> {
        None
    }

    fn seed_provider_replay(
        &self,
        _content: &str,
        _tool_calls: &[ToolCall],
        _replay: &ProviderReplay,
    ) {
    }

    fn commit_stream_replay(&self, _content: &str, _tool_calls: &[ToolCall]) {}

    /// Non-streaming completion — default collects from `stream`.
    async fn complete(
        &self,
        context: &RenderedContext,
        tools: &[ToolSchema],
        extensions: Option<&serde_json::Value>,
    ) -> crate::Result<Message> {
        let mut stream = self.stream(context, tools, extensions, None).await?;
        collect_message_from_stream(&mut stream).await
    }

    async fn stream(
        &self,
        context: &RenderedContext,
        tools: &[ToolSchema],
        extensions: Option<&serde_json::Value>,
        state: Option<&ProviderRunState>,
    ) -> crate::Result<Box<dyn Stream<Item = crate::Result<StreamEvent>> + Send + Unpin>>;
}

pub async fn collect_message_from_stream(
    stream: &mut (dyn Stream<Item = crate::Result<StreamEvent>> + Send + Unpin),
) -> crate::Result<Message> {
    let mut content = String::new();
    let mut tool_calls = Vec::new();
    while let Some(evt) = stream.next().await {
        match evt? {
            StreamEvent::TextDelta { delta } => content.push_str(&delta),
            StreamEvent::ThinkingDelta { .. } => {}
            StreamEvent::ToolCall {
                id,
                name,
                arguments,
            } => {
                tool_calls.push(ToolCall {
                    id: CompactString::new(&id),
                    name: CompactString::new(&name),
                    arguments,
                });
            }
            StreamEvent::Usage { .. } | StreamEvent::Done => {}
        }
    }
    Ok(Message {
        role: Role::Assistant,
        content: Content::Text(content),
        tool_calls,
        token_count: None,
    })
}

/// Token consumption for a single LLM call.
#[derive(Debug, Clone, Default)]
pub struct TokenUsage {
    /// Full prompt size: uncached input + cache reads + cache writes.
    pub input_tokens: u32,
    pub output_tokens: u32,
    /// Prompt tokens served from cache (billed ~0.1x). Subset of input_tokens.
    pub cache_read_input_tokens: u32,
    /// Prompt tokens written to cache (billed ~1.25x). Subset of input_tokens.
    pub cache_creation_input_tokens: u32,
}

impl TokenUsage {
    pub fn total_tokens(&self) -> u32 {
        self.input_tokens + self.output_tokens
    }
}

/// A tool specification in provider-facing format (parameters as a parsed JSON value).
#[derive(Debug, Clone)]
pub struct ProviderToolSpec {
    pub name: String,
    pub description: String,
    pub parameters: serde_json::Value,
}