M1: Anthropic codec and provider

Adds the Anthropic SSE codec (codec/anthropic.rs) translating Anthropic's event stream into LlmEvents, the AnthropicProvider, and registry wiring so the engine loop can run against the real API instead of just MockProvider.
This commit is contained in:
2026-07-10 16:19:38 +02:00
parent 4118279da1
commit 9ed278bcb5
9 changed files with 1761 additions and 27 deletions
@@ -0,0 +1,499 @@
//! Request builder + SSE decoder for Anthropic's `/v1/messages` streaming API.
use std::collections::HashMap;
use async_stream::try_stream;
use eventsource_stream::Eventsource;
use futures::Stream;
use harness_core::llm::{
FinishReason, Initiator, LlmEvent, LlmEventStream, LlmRequest, ProviderError, Role, WireContent,
};
use harness_core::types::TokenUsage;
use serde_json::{json, Value};
const DEFAULT_MAX_TOKENS: u32 = 8192;
/// opencode's `applyCaching`: cache breakpoints on the first 2 system blocks + last 2
/// non-system messages.
const CACHE_BREAKPOINTS: usize = 2;
fn cache_control() -> Value {
json!({"type": "ephemeral"})
}
fn build_system(system: &[String]) -> Vec<Value> {
system
.iter()
.enumerate()
.map(|(i, block)| {
let mut b = json!({"type": "text", "text": block});
if i < CACHE_BREAKPOINTS {
b["cache_control"] = cache_control();
}
b
})
.collect()
}
fn wire_role_to_anthropic(role: Role) -> &'static str {
match role {
Role::User | Role::Tool => "user",
Role::Assistant => "assistant",
Role::System => "user", // system blocks are carried separately in `system`, not here
}
}
fn build_messages(messages: &[harness_core::llm::WireMessage]) -> Vec<Value> {
let mut built: Vec<Value> = messages
.iter()
.map(|m| {
let content: Vec<Value> = m
.content
.iter()
.map(|c| match c {
WireContent::Text { text } => json!({"type": "text", "text": text}),
WireContent::ToolCall { call_id, name, input } => {
json!({"type": "tool_use", "id": call_id, "name": name, "input": input})
}
WireContent::ToolResult { call_id, output, is_error } => {
json!({"type": "tool_result", "tool_use_id": call_id, "content": output, "is_error": is_error})
}
WireContent::Image { mime_type, data } => {
json!({"type": "image", "source": {"type": "base64", "media_type": mime_type, "data": data}})
}
})
.collect();
json!({"role": wire_role_to_anthropic(m.role), "content": content})
})
.collect();
let n = built.len();
for msg in built.iter_mut().skip(n.saturating_sub(CACHE_BREAKPOINTS)) {
if let Some(content) = msg["content"].as_array_mut() {
if let Some(last) = content.last_mut() {
last["cache_control"] = cache_control();
}
}
}
built
}
pub fn build_request(req: &LlmRequest) -> Value {
let mut body = json!({
"model": req.model,
"system": build_system(&req.system),
"messages": build_messages(&req.messages),
"max_tokens": req.max_tokens.unwrap_or(DEFAULT_MAX_TOKENS),
"stream": true,
});
if !req.tools.is_empty() {
body["tools"] = Value::Array(
req.tools
.iter()
.map(|t| json!({"name": t.name, "description": t.description, "input_schema": t.parameters}))
.collect(),
);
}
if let Some(temp) = req.temperature {
body["temperature"] = json!(temp);
}
if let Some(reasoning) = &req.reasoning {
if let Some(budget) = reasoning.budget_tokens {
body["thinking"] = json!({"type": "enabled", "budget_tokens": budget});
}
}
body
}
pub fn initiator_header(initiator: Initiator) -> &'static str {
match initiator {
Initiator::User => "user",
Initiator::Agent => "agent",
}
}
fn map_stop_reason(reason: Option<&str>) -> FinishReason {
match reason {
Some("end_turn") | Some("stop_sequence") => FinishReason::Stop,
Some("tool_use") => FinishReason::ToolCalls,
Some("max_tokens") => FinishReason::Length,
Some(other) => FinishReason::Unknown(other.to_string()),
None => FinishReason::Unknown("none".to_string()),
}
}
#[derive(Default)]
struct BlockState {
kind: BlockKind,
call_id: String,
name: String,
partial_json: String,
signature: Option<String>,
}
#[derive(Default, PartialEq, Eq)]
enum BlockKind {
#[default]
Text,
Thinking,
ToolUse,
}
/// Decodes a raw SSE byte stream into our normalized `LlmEvent` stream. Errors from the
/// underlying HTTP stream and any Anthropic `error` event both surface as `Err`.
pub fn decode<S, E>(byte_stream: S) -> LlmEventStream
where
S: Stream<Item = Result<bytes::Bytes, E>> + Send + 'static,
E: std::error::Error + Send + Sync + 'static,
{
let events = byte_stream.eventsource();
Box::pin(try_stream! {
futures::pin_mut!(events);
let mut blocks: HashMap<u64, BlockState> = HashMap::new();
let mut usage = TokenUsage::default();
while let Some(item) = futures::StreamExt::next(&mut events).await {
let event = item.map_err(|e| ProviderError::Decode(e.to_string()))?;
if event.data.is_empty() {
continue;
}
let value: Value = serde_json::from_str(&event.data)
.map_err(|e| ProviderError::Decode(format!("{e}: {}", event.data)))?;
let kind = value["type"].as_str().unwrap_or_default();
match kind {
"message_start" => {
let u = &value["message"]["usage"];
usage.input = u["input_tokens"].as_u64().unwrap_or(0);
usage.cache_write = u["cache_creation_input_tokens"].as_u64().unwrap_or(0);
usage.cache_read = u["cache_read_input_tokens"].as_u64().unwrap_or(0);
}
"content_block_start" => {
let index = value["index"].as_u64().unwrap_or(0);
let block = &value["content_block"];
match block["type"].as_str().unwrap_or_default() {
"text" => {
blocks.insert(index, BlockState { kind: BlockKind::Text, ..Default::default() });
yield LlmEvent::TextStart { id: index.to_string() };
}
"thinking" => {
blocks.insert(index, BlockState { kind: BlockKind::Thinking, ..Default::default() });
yield LlmEvent::ReasoningStart { id: index.to_string() };
}
"tool_use" => {
let call_id = block["id"].as_str().unwrap_or_default().to_string();
let name = block["name"].as_str().unwrap_or_default().to_string();
blocks.insert(index, BlockState {
kind: BlockKind::ToolUse,
call_id: call_id.clone(),
name: name.clone(),
..Default::default()
});
yield LlmEvent::ToolInputStart { call_id, name };
}
_ => {}
}
}
"content_block_delta" => {
let index = value["index"].as_u64().unwrap_or(0);
let delta = &value["delta"];
match delta["type"].as_str().unwrap_or_default() {
"text_delta" => {
let text = delta["text"].as_str().unwrap_or_default().to_string();
yield LlmEvent::TextDelta { id: index.to_string(), text };
}
"thinking_delta" => {
let text = delta["thinking"].as_str().unwrap_or_default().to_string();
yield LlmEvent::ReasoningDelta { id: index.to_string(), text };
}
"signature_delta" => {
if let Some(state) = blocks.get_mut(&index) {
state.signature = Some(delta["signature"].as_str().unwrap_or_default().to_string());
}
}
"input_json_delta" => {
let partial = delta["partial_json"].as_str().unwrap_or_default();
if let Some(state) = blocks.get_mut(&index) {
state.partial_json.push_str(partial);
yield LlmEvent::ToolInputDelta { call_id: state.call_id.clone(), json: partial.to_string() };
}
}
_ => {}
}
}
"content_block_stop" => {
let index = value["index"].as_u64().unwrap_or(0);
if let Some(state) = blocks.remove(&index) {
match state.kind {
BlockKind::Text => yield LlmEvent::TextEnd { id: index.to_string() },
BlockKind::Thinking => {
yield LlmEvent::ReasoningEnd { id: index.to_string(), signature: state.signature };
}
BlockKind::ToolUse => {
let input: Value = if state.partial_json.trim().is_empty() {
json!({})
} else {
serde_json::from_str(&state.partial_json).unwrap_or(Value::Null)
};
yield LlmEvent::ToolCall { call_id: state.call_id, name: state.name, input };
}
}
}
}
"message_delta" => {
if let Some(out) = value["usage"]["output_tokens"].as_u64() {
usage.output = out;
}
let stop_reason = value["delta"]["stop_reason"].as_str();
yield LlmEvent::Finish { reason: map_stop_reason(stop_reason), usage };
}
"error" => {
let message = value["error"]["message"].as_str().unwrap_or("unknown error").to_string();
let err_type = value["error"]["type"].as_str().unwrap_or("");
Err(match err_type {
"overloaded_error" => ProviderError::Overloaded,
"rate_limit_error" => ProviderError::RateLimited { retry_after: None },
"authentication_error" | "permission_error" => ProviderError::Auth(message),
_ => ProviderError::Http { status: 0, body: message },
})?;
}
_ => {} // ping, message_stop: nothing to emit
}
}
})
}
#[cfg(test)]
mod tests {
use super::*;
use futures::StreamExt;
use harness_core::llm::{ReasoningOpts, ToolSchema, WireMessage};
fn sse_stream(raw: &'static str) -> LlmEventStream {
let chunks: Vec<Result<bytes::Bytes, std::io::Error>> =
vec![Ok(bytes::Bytes::from_static(raw.as_bytes()))];
decode(futures::stream::iter(chunks))
}
#[tokio::test]
async fn decodes_text_only_response() {
let raw = concat!(
"event: message_start\n",
"data: {\"type\":\"message_start\",\"message\":{\"usage\":{\"input_tokens\":10}}}\n\n",
"event: content_block_start\n",
"data: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\n",
"event: content_block_delta\n",
"data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello\"}}\n\n",
"event: content_block_stop\n",
"data: {\"type\":\"content_block_stop\",\"index\":0}\n\n",
"event: message_delta\n",
"data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"output_tokens\":5}}\n\n",
"event: message_stop\n",
"data: {\"type\":\"message_stop\"}\n\n",
);
let events: Vec<LlmEvent> = sse_stream(raw).map(|e| e.unwrap()).collect().await;
assert_eq!(
events,
vec![
LlmEvent::TextStart { id: "0".into() },
LlmEvent::TextDelta {
id: "0".into(),
text: "Hello".into()
},
LlmEvent::TextEnd { id: "0".into() },
LlmEvent::Finish {
reason: FinishReason::Stop,
usage: TokenUsage {
input: 10,
output: 5,
..Default::default()
},
},
]
);
}
#[tokio::test]
async fn decodes_tool_call_with_streamed_json_input() {
let raw = concat!(
"data: {\"type\":\"message_start\",\"message\":{\"usage\":{\"input_tokens\":1}}}\n\n",
"data: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_1\",\"name\":\"read\"}}\n\n",
"data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"file\\\"\"}}\n\n",
"data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\":\\\"a.txt\\\"}\"}}\n\n",
"data: {\"type\":\"content_block_stop\",\"index\":0}\n\n",
"data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"output_tokens\":8}}\n\n",
);
let events: Vec<LlmEvent> = sse_stream(raw).map(|e| e.unwrap()).collect().await;
assert_eq!(
events,
vec![
LlmEvent::ToolInputStart {
call_id: "call_1".into(),
name: "read".into()
},
LlmEvent::ToolInputDelta {
call_id: "call_1".into(),
json: "{\"file\"".into()
},
LlmEvent::ToolInputDelta {
call_id: "call_1".into(),
json: ":\"a.txt\"}".into()
},
LlmEvent::ToolCall {
call_id: "call_1".into(),
name: "read".into(),
input: json!({"file": "a.txt"}),
},
LlmEvent::Finish {
reason: FinishReason::ToolCalls,
usage: TokenUsage {
input: 1,
output: 8,
..Default::default()
},
},
]
);
}
#[tokio::test]
async fn decodes_thinking_block_with_signature() {
let raw = concat!(
"data: {\"type\":\"message_start\",\"message\":{\"usage\":{\"input_tokens\":1}}}\n\n",
"data: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\"}}\n\n",
"data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"pondering\"}}\n\n",
"data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"signature_delta\",\"signature\":\"sig123\"}}\n\n",
"data: {\"type\":\"content_block_stop\",\"index\":0}\n\n",
"data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"output_tokens\":2}}\n\n",
);
let events: Vec<LlmEvent> = sse_stream(raw).map(|e| e.unwrap()).collect().await;
assert_eq!(
events,
vec![
LlmEvent::ReasoningStart { id: "0".into() },
LlmEvent::ReasoningDelta {
id: "0".into(),
text: "pondering".into()
},
LlmEvent::ReasoningEnd {
id: "0".into(),
signature: Some("sig123".into())
},
LlmEvent::Finish {
reason: FinishReason::Stop,
usage: TokenUsage {
input: 1,
output: 2,
..Default::default()
},
},
]
);
}
#[tokio::test]
async fn mid_stream_error_event_surfaces_as_err() {
let raw = concat!(
"data: {\"type\":\"message_start\",\"message\":{\"usage\":{\"input_tokens\":1}}}\n\n",
"data: {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"overloaded\"}}\n\n",
);
let events: Vec<Result<LlmEvent, ProviderError>> = sse_stream(raw).collect().await;
assert!(matches!(
events.last(),
Some(Err(ProviderError::Overloaded))
));
}
#[test]
fn build_request_applies_cache_control_to_first_two_system_blocks() {
let req = LlmRequest {
model: "claude-sonnet".into(),
system: vec!["env".into(), "agent".into(), "instructions".into()],
messages: vec![],
tools: vec![],
temperature: None,
max_tokens: None,
reasoning: None,
initiator: Initiator::User,
};
let body = build_request(&req);
let system = body["system"].as_array().unwrap();
assert_eq!(system.len(), 3);
assert!(system[0]["cache_control"].is_object());
assert!(system[1]["cache_control"].is_object());
assert!(system[2].get("cache_control").is_none());
}
#[test]
fn build_request_applies_cache_control_to_last_two_messages() {
let messages = vec![
WireMessage {
role: Role::User,
content: vec![WireContent::Text { text: "1".into() }],
},
WireMessage {
role: Role::Assistant,
content: vec![WireContent::Text { text: "2".into() }],
},
WireMessage {
role: Role::User,
content: vec![WireContent::Text { text: "3".into() }],
},
];
let req = LlmRequest {
model: "claude-sonnet".into(),
system: vec![],
messages,
tools: vec![],
temperature: None,
max_tokens: None,
reasoning: None,
initiator: Initiator::User,
};
let body = build_request(&req);
let msgs = body["messages"].as_array().unwrap();
assert!(msgs[0]["content"][0].get("cache_control").is_none());
assert!(msgs[1]["content"][0]["cache_control"].is_object());
assert!(msgs[2]["content"][0]["cache_control"].is_object());
}
#[test]
fn build_request_maps_tool_schema_to_input_schema_key() {
let req = LlmRequest {
model: "claude-sonnet".into(),
system: vec![],
messages: vec![],
tools: vec![ToolSchema {
name: "read".into(),
description: "reads a file".into(),
parameters: json!({"type": "object"}),
}],
temperature: None,
max_tokens: None,
reasoning: None,
initiator: Initiator::User,
};
let body = build_request(&req);
assert_eq!(body["tools"][0]["name"], "read");
assert_eq!(body["tools"][0]["input_schema"], json!({"type": "object"}));
}
#[test]
fn build_request_includes_thinking_budget_when_reasoning_set() {
let req = LlmRequest {
model: "claude-sonnet".into(),
system: vec![],
messages: vec![],
tools: vec![],
temperature: None,
max_tokens: None,
reasoning: Some(ReasoningOpts {
effort: None,
budget_tokens: Some(2048),
}),
initiator: Initiator::User,
};
let body = build_request(&req);
assert_eq!(body["thinking"]["budget_tokens"], 2048);
}
}