Files
lakehouse/crates/gateway/src/v1/openrouter.rs
T
rootandClaude Fable 5 6de15ad5f5 gateway/v1: tolerate reasoning-model responses on the openrouter lane
Reasoning models (GLM-5.x, deepseek-v4-pro) return content:null plus a
reasoning field when max_tokens exhausts mid-thought; ORMessageResp's bare
String made serde reject the whole body ('invalid openrouter response'),
taking down every reasoning model on the lane — including phase2's
configured z-ai/glm-5.2. content/reasoning are now Options; content stays
the only text returned (empty when null, so callers' schema validation +
retry budgets handle it deterministically); reasoning-only responses log a
warn with finish_reason. Unit test pins both shapes.

Found during the 2026-08-28 VIX founder-lane dogfood.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-28 17:07:12 -05:00

261 lines
9.9 KiB
Rust

//! OpenRouter adapter — free-tier rescue rung for /v1/chat.
//!
//! Direct HTTPS call to `https://openrouter.ai/api/v1/chat/completions`
//! with Bearer auth. Mirrors the OpenAI-compatible shape so the model
//! list can be expanded without code changes. Added 2026-04-24 after
//! iter 5 hit repeated Ollama Cloud 502s on kimi-k2:1t — OpenRouter
//! free-tier models give us a different provider backbone as fallback.
//!
//! Key sourcing priority:
//! 1. Env var `OPENROUTER_API_KEY`
//! 2. `/home/profit/.env` (LLM Team convention)
//! 3. `/root/llm_team_config.json` → providers.openrouter.api_key
//!
//! First hit wins. Key is resolved once at gateway startup and stored
//! on `V1State.openrouter_key`.
use std::time::Duration;
use serde::{Deserialize, Serialize};
use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
const OR_BASE_URL: &str = "https://openrouter.ai/api/v1";
const OR_TIMEOUT_SECS: u64 = 180;
pub fn resolve_openrouter_key() -> Option<String> {
if let Ok(k) = std::env::var("OPENROUTER_API_KEY") {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
// LLM Team UI writes its key to ~/.env on the host user — pick it up
// from the same source so the free-tier rescue path works without
// an explicit systemd Environment= line.
for path in ["/home/profit/.env", "/root/.env"] {
if let Ok(raw) = std::fs::read_to_string(path) {
for line in raw.lines() {
if let Some(rest) = line.strip_prefix("OPENROUTER_API_KEY=") {
let k = rest.trim().trim_matches('"').trim_matches('\'');
if !k.is_empty() { return Some(k.to_string()); }
}
}
}
}
if let Ok(raw) = std::fs::read_to_string("/root/llm_team_config.json") {
if let Ok(v) = serde_json::from_str::<serde_json::Value>(&raw) {
if let Some(k) = v.pointer("/providers/openrouter/api_key").and_then(|x| x.as_str()) {
if !k.trim().is_empty() { return Some(k.trim().to_string()); }
}
}
}
None
}
pub async fn chat(
key: &str,
req: &ChatRequest,
) -> Result<ChatResponse, String> {
// Strip the "openrouter/" prefix if the caller used the namespaced
// form so OpenRouter sees the raw model id (e.g. "openai/gpt-oss-120b:free").
let model = req.model.strip_prefix("openrouter/").unwrap_or(&req.model).to_string();
let body = ORChatBody {
model: model.clone(),
// Pass content through verbatim — preserves OpenAI's multimodal
// content-parts shape (`[{type:"text",text:"..."}, ...]`) so the
// upstream provider sees exactly what the client sent.
messages: req.messages.iter().map(|m| ORMessage {
role: m.role.clone(),
content: m.content.clone(),
}).collect(),
max_tokens: req.max_tokens.unwrap_or(800),
temperature: req.temperature.unwrap_or(0.3),
stream: false,
};
let client = reqwest::Client::builder()
.timeout(Duration::from_secs(OR_TIMEOUT_SECS))
.build()
.map_err(|e| format!("build client: {e}"))?;
let t0 = std::time::Instant::now();
let resp = client
.post(format!("{}/chat/completions", OR_BASE_URL))
.bearer_auth(key)
// OpenRouter recommends Referer + Title for attribution; absent
// headers do not fail the call but help us see our traffic in
// their dashboard.
.header("HTTP-Referer", "https://vcp.devop.live")
.header("X-Title", "Lakehouse Scrum")
.json(&body)
.send()
.await
.map_err(|e| format!("openrouter.ai unreachable: {e}"))?;
let status = resp.status();
if !status.is_success() {
let body = resp.text().await.unwrap_or_else(|_| "?".into());
return Err(format!("openrouter.ai {}: {}", status, body));
}
let parsed: ORChatResponse = resp.json().await
.map_err(|e| format!("invalid openrouter response: {e}"))?;
let latency_ms = t0.elapsed().as_millis();
let choice = parsed.choices.into_iter().next()
.ok_or_else(|| "openrouter returned no choices".to_string())?;
let reasoning_only = choice.message.content.is_none() && choice.message.reasoning.is_some();
let text = choice.message.content.unwrap_or_default();
if reasoning_only {
// The model spent its whole budget thinking. Return well-formed empty
// content (callers' schema validation + retry budgets handle it
// deterministically) rather than a decode error that reads as a
// gateway fault — and never pass thinking-text off as an answer.
tracing::warn!(
target: "v1.chat",
provider = "openrouter",
model = %model,
finish = %choice.finish_reason.as_deref().unwrap_or("?"),
"reasoning-only response (content null) — raise max_tokens or use a non-reasoning model",
);
}
let prompt_tokens = parsed.usage.as_ref().map(|u| u.prompt_tokens).unwrap_or_else(|| {
let chars: usize = req.messages.iter().map(|m| m.text().chars().count()).sum();
((chars + 3) / 4) as u32
});
let completion_tokens = parsed.usage.as_ref().map(|u| u.completion_tokens).unwrap_or_else(|| {
((text.chars().count() + 3) / 4) as u32
});
tracing::info!(
target: "v1.chat",
provider = "openrouter",
model = %model,
prompt_tokens,
completion_tokens,
latency_ms = latency_ms as u64,
"openrouter chat completed",
);
Ok(ChatResponse {
id: format!("chatcmpl-{}", chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)),
object: "chat.completion",
created: chrono::Utc::now().timestamp(),
model,
choices: vec![Choice {
index: 0,
message: Message { role: "assistant".into(), content: serde_json::Value::String(text) },
finish_reason: choice.finish_reason.unwrap_or_else(|| "stop".into()),
}],
usage: UsageBlock {
prompt_tokens,
completion_tokens,
total_tokens: prompt_tokens + completion_tokens,
},
})
}
// -- OpenRouter wire shapes (OpenAI-compatible) --
#[derive(Serialize)]
struct ORChatBody {
model: String,
messages: Vec<ORMessage>,
max_tokens: u32,
temperature: f64,
stream: bool,
}
#[derive(Serialize)]
struct ORMessage { role: String, content: serde_json::Value }
#[derive(Deserialize)]
struct ORChatResponse {
choices: Vec<ORChoice>,
#[serde(default)]
usage: Option<ORUsage>,
}
#[derive(Deserialize)]
struct ORChoice {
message: ORMessageResp,
#[serde(default)]
finish_reason: Option<String>,
}
#[derive(Deserialize)]
struct ORMessageResp {
// Reasoning models (GLM-5.x, deepseek-v4-pro) return `content: null` plus a
// `reasoning` field when they exhaust max_tokens mid-thought. A bare String
// here made serde reject the whole body ("invalid openrouter response",
// 2026-08-28) — which took down every reasoning model on the lane,
// including phase2's configured glm-5.2. Content stays the only text we
// ever return; reasoning is observability, never an answer.
#[serde(default)]
content: Option<String>,
#[serde(default)]
reasoning: Option<String>,
}
#[derive(Deserialize)]
struct ORUsage { prompt_tokens: u32, completion_tokens: u32 }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn reasoning_model_null_content_parses() {
// GLM-5.x / deepseek-v4-pro shape: content null + reasoning present
// (the 2026-08-28 decode failure). Must parse, not error.
let body = r#"{"choices":[{"message":{"role":"assistant","content":null,"reasoning":"thinking…"},"finish_reason":"length"}],"usage":{"prompt_tokens":5,"completion_tokens":10}}"#;
let parsed: ORChatResponse = serde_json::from_str(body).expect("null content must parse");
let choice = &parsed.choices[0];
assert!(choice.message.content.is_none());
assert_eq!(choice.message.reasoning.as_deref(), Some("thinking…"));
// And the normal shape still parses with reasoning absent.
let normal = r#"{"choices":[{"message":{"role":"assistant","content":"OK"},"finish_reason":"stop"}]}"#;
let parsed: ORChatResponse = serde_json::from_str(normal).expect("normal shape");
assert_eq!(parsed.choices[0].message.content.as_deref(), Some("OK"));
}
#[test]
fn resolve_openrouter_key_does_not_panic() {
// Smoke test — all three sources may or may not be set depending
// on environment; just confirm the call returns cleanly.
let _ = resolve_openrouter_key();
}
#[test]
fn chat_body_serializes_to_openai_shape() {
let body = ORChatBody {
model: "openai/gpt-oss-120b:free".into(),
messages: vec![
ORMessage { role: "user".into(), content: "review this".into() },
],
max_tokens: 800,
temperature: 0.3,
stream: false,
};
let json = serde_json::to_string(&body).unwrap();
assert!(json.contains("\"model\":\"openai/gpt-oss-120b:free\""));
assert!(json.contains("\"messages\""));
assert!(json.contains("\"max_tokens\":800"));
assert!(json.contains("\"stream\":false"));
}
#[test]
fn model_prefix_strip_preserves_unprefixed() {
// If caller passes "openrouter/openai/gpt-oss-120b:free" we strip.
// If caller passes "openai/gpt-oss-120b:free" unchanged, we keep.
let cases = [
("openrouter/openai/gpt-oss-120b:free", "openai/gpt-oss-120b:free"),
("openai/gpt-oss-120b:free", "openai/gpt-oss-120b:free"),
("google/gemma-3-27b-it:free", "google/gemma-3-27b-it:free"),
];
for (input, expected) in cases {
let out = input.strip_prefix("openrouter/").unwrap_or(input);
assert_eq!(out, expected, "{input} should become {expected}");
}
}
}