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cortex/crates/helexa-acp/src/provider/mod.rs
rob thijssen 96fc379893
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feat(helexa-acp): wire ACP agent loop for text-only conversations
Stage 2 lands the agent loop on top of the Stage 1 scaffold: session
state with per-session cancellation, a system-prompt builder honouring
HELEXA_ACP_SYSTEM_PROMPT_PATH / system_prompt_path TOML, and handlers
for initialize / session/new / session/prompt / session/cancel that
stream provider output back as session/update notifications. Verified
end-to-end against cortex from Zed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-28 09:46:22 +03:00

180 lines
6.2 KiB
Rust

//! Provider trait — the seam between the ACP-side agent loop and
//! whatever wire protocol an endpoint actually speaks.
//!
//! Every concrete provider (OpenAI chat completions, OpenAI Responses,
//! Anthropic /v1/messages, Ollama native, …) implements
//! [`Provider`]. The agent constructs a [`CompletionRequest`] using
//! provider-agnostic types and consumes a stream of
//! [`CompletionEvent`]s — neither end knows which wire format is on
//! the other side of the trait.
//!
//! Day-1 provider: [`openai_chat::OpenAIChatProvider`]. Day-N
//! providers slot in without touching `agent.rs`.
use async_trait::async_trait;
use futures::stream::BoxStream;
use serde::{Deserialize, Serialize};
use serde_json::Value;
use tokio_util::sync::CancellationToken;
pub mod openai_chat;
/// Provider-agnostic LLM endpoint. Implementations translate between
/// [`CompletionRequest`] / [`CompletionEvent`] and whatever wire
/// format their endpoint speaks.
#[async_trait]
pub trait Provider: Send + Sync {
/// Endpoint name as configured by the user (e.g. `"helexa"`,
/// `"openrouter"`). Used in logs and in the `endpoint:model`
/// selector.
fn name(&self) -> &str;
/// List models available at this endpoint. Used to build the
/// model-picker dropdown in editor clients (Stage 4). Should
/// return quickly (cache if necessary).
#[allow(dead_code)]
async fn list_models(&self) -> anyhow::Result<Vec<ModelInfo>>;
/// Run a chat completion. Returns a stream of provider-agnostic
/// events. The stream stops when the upstream finishes, when
/// `cancel` is fired, or when the stream is dropped.
async fn complete(
&self,
request: CompletionRequest,
cancel: CancellationToken,
) -> anyhow::Result<BoxStream<'static, anyhow::Result<CompletionEvent>>>;
}
/// One model exposed by a provider. Constructed by `list_models` —
/// Stage 4 is when the agent loop starts consuming it for the
/// model-picker dropdown.
#[allow(dead_code)]
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelInfo {
pub id: String,
/// Human-friendly name, if the endpoint exposes one. Otherwise
/// `id` is used as the display name.
#[serde(default)]
pub display_name: Option<String>,
}
/// Inputs to a completion. Provider-agnostic — concrete providers
/// translate this into their wire format.
#[derive(Debug, Clone)]
pub struct CompletionRequest {
/// Endpoint-local model id (without the `endpoint:` prefix).
pub model: String,
pub messages: Vec<Message>,
/// Tools the model is allowed to call. Empty list means no tool
/// support advertised.
pub tools: Vec<ToolSpec>,
pub temperature: Option<f64>,
pub top_p: Option<f64>,
pub max_tokens: Option<u64>,
}
#[derive(Debug, Clone)]
pub struct Message {
pub role: Role,
pub content: MessageContent,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Role {
System,
User,
Assistant,
/// Tool result message. Provider impls turn this into whatever
/// shape the upstream wire format wants (OpenAI uses
/// `role: "tool"` + `tool_call_id`; Anthropic uses content blocks).
/// Stage 3 (tools) constructs this; Stage 2 never does.
#[allow(dead_code)]
Tool,
}
#[derive(Debug, Clone)]
pub enum MessageContent {
Text(String),
/// Assistant turn that called one or more tools. Stage 3 starts
/// constructing this when the provider stream yields a
/// `ToolCallStart` / `ToolCallArgsDelta` sequence.
#[allow(dead_code)]
ToolCalls {
/// Optional text the assistant said alongside the tool calls.
text: Option<String>,
calls: Vec<ToolCall>,
},
/// Tool result. `tool_call_id` matches the assistant's call id.
/// Stage 3 constructs this after the tool runner finishes.
#[allow(dead_code)]
ToolResult {
tool_call_id: String,
content: String,
},
}
#[derive(Debug, Clone)]
pub struct ToolCall {
/// Provider-assigned id that ties the call to its result.
pub id: String,
pub name: String,
/// JSON-encoded arguments. Kept as a string because providers
/// stream argument bytes incrementally and only validate at the
/// end; the agent decodes once the call is complete.
pub arguments: String,
}
#[derive(Debug, Clone)]
pub struct ToolSpec {
pub name: String,
pub description: String,
/// JSON Schema of the arguments object.
pub parameters: Value,
}
/// Events emitted by a provider during a streaming completion.
#[derive(Debug, Clone)]
pub enum CompletionEvent {
/// Incremental visible text from the assistant.
TextDelta(String),
/// Incremental "reasoning" / thought text, if the model emits one
/// (e.g. Qwen3 with `<think>` tags surfaced as a separate stream,
/// or OpenAI reasoning models).
ReasoningDelta(String),
/// A new tool call has started. Stage 2 ignores the payload; the
/// agent loop in Stage 3 reads `index` to correlate with
/// [`Self::ToolCallArgsDelta`], `id` for the eventual tool-result
/// turn, and `name` to dispatch the runner.
#[allow(dead_code)]
ToolCallStart {
index: usize,
id: String,
name: String,
},
/// More argument bytes for a tool call already announced via
/// [`Self::ToolCallStart`]. Stage 2 ignores; Stage 3 accumulates
/// the bytes by `index` until the call's arguments are complete.
#[allow(dead_code)]
ToolCallArgsDelta { index: usize, args_delta: String },
/// Stream finished. Carries the upstream `finish_reason` if it
/// gave one (`"stop"`, `"length"`, `"tool_calls"`, …).
Finish { reason: Option<String> },
/// Final usage stats, if the provider supplied them. Stage 2
/// matches the variant to drop it; Stage 6b (token metrics) is
/// when the payload starts being read.
#[allow(dead_code)]
Usage(UsageStats),
}
/// Token accounting reported by the provider at the end of a stream.
/// Stage 2 doesn't surface usage anywhere — the stable `PromptResponse`
/// has no usage field, and the unstable variant is gated. Stage 6b
/// turns these on with Prometheus metrics.
#[allow(dead_code)]
#[derive(Debug, Clone, Copy, Default)]
pub struct UsageStats {
pub prompt_tokens: u64,
pub completion_tokens: u64,
pub total_tokens: u64,
}