feat(aircoding): AirCoding V2 baseline — deterministic multi-agent architecture

Forked from OpenCode v1.17.4 with multi-agent system:
- 5 agents: aircoding, scheduler, worker, architect, reviewer
- Deterministic DAG scheduling engine (coordinator_tick)
- Tool whitelists as hard enforcement
- AirCoding validation plugin
- V1 requirements: C4 docs, ADR, AGENTS.md, debug-log.md
- Design documents in docs/
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airlongdian
2026-06-13 21:53:43 +08:00
commit deaf7eb806
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import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { LLM } from "../../src"
import { LLMClient } from "../../src/route"
import * as OpenRouter from "../../src/providers/openrouter"
import { it } from "../lib/effect"
describe("OpenRouter", () => {
it.effect("prepares OpenRouter models through the OpenAI-compatible Chat route", () =>
Effect.gen(function* () {
const model = OpenRouter.configure({ apiKey: "test-key" }).model("openai/gpt-4o-mini")
expect(model).toMatchObject({
id: "openai/gpt-4o-mini",
provider: "openrouter",
route: { id: "openrouter" },
})
expect(model.route.endpoint.baseURL).toBe("https://openrouter.ai/api/v1")
const prepared = yield* LLMClient.prepare(LLM.request({ model, prompt: "Say hello." }))
expect(prepared.route).toBe("openrouter")
expect(prepared.body).toMatchObject({
model: "openai/gpt-4o-mini",
messages: [{ role: "user", content: "Say hello." }],
stream: true,
})
}),
)
it.effect("applies OpenRouter payload options from the model helper", () =>
Effect.gen(function* () {
const prepared = yield* LLMClient.prepare(
LLM.request({
model: OpenRouter.configure({
apiKey: "test-key",
providerOptions: {
openrouter: {
usage: true,
reasoning: { effort: "high" },
promptCacheKey: "session_123",
},
},
}).model("anthropic/claude-3.7-sonnet:thinking"),
prompt: "Think briefly.",
}),
)
expect(prepared.body).toMatchObject({
usage: { include: true },
reasoning: { effort: "high" },
prompt_cache_key: "session_123",
})
}),
)
})