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orcs-code/package.json
NikitaBabenko 26eef92fe7 feat: add headless gRPC server for external agent integration (#278) 
* gRPC Server

* gRPC fix

* UpdProto

* fix: address PR review feedback for gRPC server

- Update bun.lock for new dependencies (frozen-lockfile CI fix)
- Add multi-turn session persistence via initialMessages
- Replace hardcoded done payload with real token counts
- Default bind to localhost instead of 0.0.0.0

* fix(grpc): startup parity, cancel interrupt, and cli text fallback

- Replace enableConfigs() with await init() in start-grpc.ts for full
  bootstrap parity with the main CLI (env vars, CA certs, mTLS, proxy,
  OAuth, Windows shell)
- Call engine.interrupt() before call.end() in the cancel handler so
  in-flight model/tool execution is actually stopped
- Show done.full_text in the CLI client when no text_chunk was received,
  preventing silent drops when streaming is unavailable

* fix(grpc): wire session_id end-to-end and remove dead provider field

- Move session_id from ClientMessage into ChatRequest to fix proto-loader
  oneofs encoding bug and make the field functional
- Implement in-memory session store so reconnecting with the same
  session_id resumes conversation context across streams
- Remove ChatRequest.provider — per-request provider routing requires
  global process.env mutation, unsafe for concurrent clients; provider
  is configured via env vars at server startup

* fix(grpc): mirror CLI auth bootstrap in start-grpc and fix tool_name field

scripts/start-grpc.ts now runs the same provider/auth bootstrap as the
normal CLI entrypoint: enableConfigs, safe env vars, Gemini/GitHub token
hydration, saved-profile resolution with warn-and-fallback, and provider
validation before the server binds.

ToolCallResult.tool_name was being populated with the tool_use_id UUID.
Added a toolNameById map (filled in canUseTool) so tool_name now carries
the actual tool name (e.g. "Bash"). The UUID moves to a new tool_use_id
field (proto field 4) for client-side correlation.

* fix(grpc): add tool_use_id to ToolCallStart and interrupt engine on stream close

Two blocker-level issues flagged in code review:

- ToolCallStart was missing tool_use_id, making it impossible for clients
  to correlate tool_start events with tool_result when the same tool runs
  multiple times. Added tool_use_id = 3 to the proto message and populated
  it from the toolUseID parameter in canUseTool.

- On stream close without an explicit CancelSignal the server only nulled
  the engine reference, leaving the underlying model/tool work running
  as an orphan. Added engine.interrupt() in the call.on('end') handler
  to stop work immediately when the client disconnects.

* fix(grpc): resolve pending promises on disconnect and guard post-cancel writes

Four lifecycle and contract issues identified during proactive review:

- Pending permission Promises in canUseTool would hang forever if the
  client disconnected mid-stream. On call 'end', all pending resolvers
  are now called with 'no' so the engine can unblock and terminate.

- The done message and session save could fire after call.end() when
  a CancelSignal arrived mid-generation. Added an `interrupted` flag
  set on both cancel and stream close to gate all post-loop writes.

- The session map had no eviction policy, allowing unbounded memory
  growth. Capped at MAX_SESSIONS=1000 with FIFO eviction of the
  oldest entry.

- Field 3 was silently absent from ChatRequest. Added `reserved 3`
  to document the gap and prevent accidental reuse in future.

* fix(grpc): reset previousMessages on each new request to prevent session history leak

previousMessages was declared at stream scope and only overwritten when
the incoming session_id already existed in the session store. A second
request on the same stream with a new session_id would silently inherit
the first request's conversation history in initialMessages instead of
starting fresh, violating the session contract.

Fix: reset previousMessages to [] at the start of each ChatRequest
before the session-store lookup.

* fix(grpc): reset interrupted flag between requests and guard against concurrent ChatRequest

Two stream-scoped state bugs found during proactive audit:

- The `interrupted` flag was never reset between requests on the same
  stream. If the first request was cancelled, all subsequent requests
  would silently skip the done message, causing the client to hang.

- A second ChatRequest arriving while the first was still processing
  would overwrite the engine reference, corrupting the lifecycle of
  both requests. Now returns ALREADY_EXISTS error instead. Engine is
  nulled after the for-await loop completes so subsequent requests
  can proceed normally.

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-06 17:54:10 +08:00

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"description": "Claude Code opened to any LLM — OpenAI, Gemini, DeepSeek, Ollama, and 200+ models",
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"profile:init": "bun run scripts/provider-bootstrap.ts",
"profile:recommend": "bun run scripts/provider-recommend.ts",
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"profile:codex": "bun run profile:init -- --provider codex --model codexplan",
"profile:fast": "bun run profile:init -- --provider ollama --model llama3.2:3b",
"profile:code": "bun run profile:init -- --provider ollama --model qwen2.5-coder:7b",
"dev:fast": "bun run profile:fast && bun run dev:ollama:fast",
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"dev:grpc": "bun run scripts/start-grpc.ts",
"dev:grpc:cli": "bun run scripts/grpc-cli.ts",
"start": "node dist/cli.mjs",
"test": "bun test",
"test:coverage": "bun test --coverage --coverage-reporter=lcov --coverage-dir=coverage --max-concurrency=1 && bun run scripts/render-coverage-heatmap.ts",
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"test:provider-recommendation": "bun test src/utils/providerRecommendation.test.ts src/utils/providerProfile.test.ts",
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"ignore": "7.0.5",
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"marked": "15.0.12",
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"picomatch": "4.0.4",
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"semver": "7.7.4",
"sharp": "^0.34.5",
"shell-quote": "1.8.3",
"signal-exit": "4.1.0",
"stack-utils": "2.0.6",
"strip-ansi": "7.2.0",
"supports-hyperlinks": "3.2.0",
"tree-kill": "1.2.2",
"turndown": "7.2.2",
"type-fest": "4.41.0",
"undici": "7.24.6",
"usehooks-ts": "3.1.1",
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"ws": "8.20.0",
"xss": "1.0.15",
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"zod": "3.25.76"
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"@types/node": "25.5.0",
"@types/react": "19.2.14",
"tsx": "^4.21.0",
"typescript": "5.9.3"
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"url": "https://gitlawb.com/z6MkqDnb7Siv3Cwj7pGJq4T5EsUisECqR8KpnDLwcaZq5TPr/openclaude"
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"keywords": [
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"openai",
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"ollama",
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"license": "SEE LICENSE FILE",
"publishConfig": {
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