feat(proactive): server-side Gemini gRPC service for desktop task extraction#6291
feat(proactive): server-side Gemini gRPC service for desktop task extraction#6291
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Greptile SummaryThis PR introduces a new Key issues found:
Confidence Score: 1/5Not safe to merge — the server will not start due to an invalid gRPC API call, the multi-turn tool loop is architecturally incomplete, and the Gemini API key is exposed in logs and client error messages. Three blocking issues: (1) grpc.method_handlers_generic_handler does not exist in grpc Python, causing an immediate AttributeError at startup; (2) the central feature — the search tool round-trip that drives the cost reduction — is unimplemented (both callbacks are stubs, analyze_frame returns after the first ToolCallRequest with no resume path); (3) the Gemini API key is embedded as a URL query parameter and propagated into logs and client error messages. The proto design and single-turn paths are solid, but the PR cannot be deployed as-is. backend/proactive/task_assistant.py (broken tool loop + API key leak), backend/proactive/service.py (no-op/NotImplementedError callbacks), backend/proactive/v1/proactive_pb2_grpc.py (invalid grpc API — server will not start) Important Files Changed
Sequence DiagramsequenceDiagram
participant D as Desktop Client
participant S as ProactiveAI Server
participant G as Gemini API
D->>S: ClientEvent(ClientHello + SessionContext)
S-->>D: ServerEvent(SessionReady)
D->>S: ClientEvent(FrameEvent + jpeg_bytes)
Note over S: analyze_frame() called
S->>G: generateContent(prompt + image + tools)
G-->>S: FunctionCall(search_similar | search_keywords)
Note over S,D: CURRENTLY BROKEN — returns here
S-->>D: ServerEvent(ToolCallRequest)
D->>S: ClientEvent(ToolResult)
Note over S: receive_tool_result raises NotImplementedError
Note over S: WORKS — terminal decisions
S->>G: generateContent(prompt + image + tools)
G-->>S: FunctionCall(extract_task | reject_task | no_task_found)
S-->>D: ServerEvent(AnalysisOutcome)
D->>S: ClientEvent(Heartbeat)
Note over S: silent — no response
Reviews (1): Last reviewed commit: "docs: add proactive service to CLAUDE.md..." | Re-trigger Greptile |
![greptile-apps[bot]](https://avatars.githubusercontent.com/in/867647?s=60&v=4){kind=small}
backend/proactive/task_assistant.py
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| confidence=func_args.get('confidence', 0.0), | ||
| ) | ||
| yield pb2.ServerEvent( | ||
| analysis_outcome=pb2.AnalysisOutcome( | ||
| outcome_kind=pb2.EXTRACT_TASK, | ||
| task=task, | ||
| context_summary=func_args.get('context_summary', ''), | ||
| current_activity=func_args.get('current_activity', ''), | ||
| frame_id=frame_id, | ||
| ) | ||
| ) | ||
| return | ||
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| # Search tools: delegate to desktop via gRPC stream | ||
| if func_name in ('search_similar', 'search_keywords'): |
There was a problem hiding this comment.
After yielding a ToolCallRequest, analyze_frame sets self._pending_request_id / self._pending_func_name and immediately returns. There is no code path anywhere that reads these instance variables or resumes the iteration with a ToolResult. Additionally, the receive_tool_result callback passed from service.py unconditionally raises NotImplementedError (see _make_tool_receiver).
This means any frame where Gemini wants to call search_similar or search_keywords results in only the ToolCallRequest being sent — the desktop will receive it, execute the search, send back a ToolResult, and the server will silently discard it as an "Unexpected standalone tool_result". The analysis never advances past the first Gemini call, the loop's MAX_ITERATIONS guard (line 210) is never exercised in practice, and the stated cost reduction from collapsing 12 calls per trigger into server-controlled loops is not realized.
The architecture requires one of:
- Converting
analyze_frameto a true async generator that awaits a tool-result future before continuing thefor iterationloop, with the service layer fulfilling that future when the clienttool_resultevent arrives, or - Materialising the entire bidi conversation in the service layer with an
asyncio.Queueper in-flight frame soanalyze_framecanawait queue.get()for each search turn.
Until this is resolved the service correctly handles only no_task_found, extract_task, and reject_task on the very first Gemini response.
backend/proactive/task_assistant.py
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| and feed the ToolResult back by sending it on the bidi stream. The next | ||
| client message after a ToolCallRequest must be a ToolResult. | ||
| """ | ||
| prompt = _build_prompt(session_context, frame.app_name) | ||
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| # Build initial Gemini contents with image |
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The Gemini API key is appended as a plain query parameter. When httpx raises an HTTPStatusError or ConnectError, the exception message includes the full URL, meaning the key will appear in:
logger.error(... error=%s ...)on line 222 — written to server logs.- The
ServerError.messagefield sent to the desktop client (Gemini API error: {e}).
This violates the project's logging-security rule ("Never log raw sensitive data").
Use the x-goog-api-key request header instead:
async with httpx.AsyncClient(timeout=30.0) as client:
resp = await client.post(
f'{GEMINI_API_URL}/{GEMINI_MODEL}:generateContent',
json=body,
headers={'x-goog-api-key': GEMINI_API_KEY},
)| request_deserializer=proactive_dot_v1_dot_proactive__pb2.ClientEvent.FromString, | ||
| response_serializer=proactive_dot_v1_dot_proactive__pb2.ServerEvent.SerializeToString, | ||
| ), | ||
| } |
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grpc.method_handlers_generic_handler does not exist — server will fail to start
grpc.method_handlers_generic_handler is not part of the public grpc Python API. Calling it will raise AttributeError: module 'grpc' has no attribute 'method_handlers_generic_handler' at server startup, before any request is handled.
Standard grpc-tools generated code uses grpc.method_service_handler (grpc ≥ 1.49). For grpc ≥ 1.62 (as pinned in requirements.txt):
| } | |
| generic_handler = grpc.method_service_handler('proactive.v1.ProactiveAI', rpc_method_handlers) |
If regenerating the stubs with grpc_tools.protoc produces different output, use whatever protoc emits — do not hand-edit the generated file.
backend/proactive/service.py
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| except asyncio.CancelledError: | ||
| logger.info('Session cancelled: uid=%s session=%s', uid, session_id) | ||
| except Exception as e: | ||
| logger.exception('Session error: uid=%s session=%s', uid, session_id) | ||
| yield pb2.ServerEvent( | ||
| server_error=pb2.ServerError( | ||
| code='INTERNAL', | ||
| message='Internal server error', | ||
| retryable=False, | ||
| ) | ||
| ) | ||
| finally: | ||
| logger.info('Session closed: uid=%s session=%s', uid, session_id) | ||
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| def _make_tool_sender(context): | ||
| """Create a callback that sends ToolCallRequest to the client stream.""" | ||
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| async def send_tool_request(tool_request: pb2.ToolCallRequest): | ||
| # In bidi streaming, we yield from the generator — but since the service | ||
| # method is the generator, we return events from analyze_frame instead. | ||
| # This is a no-op; tool requests are yielded inline from analyze_frame. | ||
| pass | ||
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| return send_tool_request | ||
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| def _make_tool_receiver(request_iterator, expected_frame_id): | ||
| """Create a callback that waits for a ToolResult from the client.""" | ||
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| async def receive_tool_result(request_id: str, timeout_ms: int = 10000) -> pb2.ToolResult: | ||
| # In the bidi stream, the next message from the client should be the ToolResult. | ||
| # This is handled by the task_assistant's analyze_frame loop which reads | ||
| # directly from a queue. For PR1, we use a simple inline approach. | ||
| raise NotImplementedError('Tool result reception is handled inline in analyze_frame') | ||
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| return receive_tool_result |
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_make_tool_sender is a no-op and _make_tool_receiver always raises
Both factory functions produce callbacks that are never usable:
_make_tool_sender(send_tool_request) just doespass— it is passed intoanalyze_framebutanalyze_framenever calls it; it yieldsToolCallRequestevents directly._make_tool_receiver(receive_tool_result) unconditionally raisesNotImplementedError. Any future iteration that callsawait receive_tool_result(...)will immediately throw, surfacing as an unhandled exception inside theasync forinSession, terminating the session.
These stubs create a false impression that the round-trip plumbing exists. They should either be replaced with a real implementation (e.g., an asyncio.Queue per frame populated by the tool_result branch of the main event loop) or removed entirely until the feature is ready.
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| context.abort.assert_called_once() | ||
| args = context.abort.call_args |
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import grpc is placed inside the test function body. Per the project's backend import rules, all imports must be at module top level. Move import grpc to the top of the file alongside the other imports.
Context Used: Backend Python import rules - no in-function impor... (source)
backend/proactive/main.py
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| GRPC_PORT = int(os.environ.get('GRPC_PORT', '50051')) |
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The API key defaults to '' if the environment variable is absent. The server will start and accept connections, but every _call_gemini call will fail with a 400, returning a retryable error to every client. Add a fast-fail check inside serve() before _init_firebase():
if not GEMINI_API_KEY:
raise RuntimeError('GEMINI_API_KEY environment variable is required but not set')
Flow Diagram & Sequence Catalog (CP8.2)Sequence Catalog
Changed Path IDs
by AI for @beastoin |
CP9 Evidence SynthesisL1 SynthesisAll 17 changed paths (P1-P17) proven via 35 unit tests. Server boots successfully with GEMINI_API_KEY=test-dummy-key on port 10140. Startup guard (P15) correctly rejects missing key with RuntimeError. Session handshake (P2) returns SessionReady with protocol_version=1.0, max_iterations=5, supported tools=[SEARCH_SIMILAR, SEARCH_KEYWORDS]. Heartbeat (P14) handled silently. Gemini API error (P11) returns sanitized GEMINI_ERROR without API key in message. Auth failure (P1/S5) returns UNAUTHENTICATED. Generator error (P16) surfaces as retryable ServerError. Non-happy paths: startup guard, auth failure, Gemini error, tool result timeout, bad model output — all covered. L2 SynthesisgRPC server accepts client connections over network (port 10142), correctly processes the gRPC bidi stream protocol, and rejects unauthenticated requests with proper UNAUTHENTICATED status code. Firebase auth integration works correctly. Full desktop client integration (Swift side) deferred to follow-up PR per issue #6153 scope — this PR is server-only. Changed-Path Coverage Checklist
L2 paths marked UNTESTED require real Gemini API key + Firebase credentials. Deferred to production deployment verification. The gRPC transport layer, auth, and error handling are proven at L2. by AI for @beastoin |
L2 Live Test Evidence — Real Firebase Auth + Gemini E2ESetup
Test Results — 7/7 PASS
Server Logs (key excerpts)Changed-Path Coverage (L2)
L2 SynthesisAll changed paths P1-P16 proven with real Firebase auth (custom token → ID token → verify_id_token on server) and real Gemini API calls (200 OK responses). Non-happy paths proven: bad auth rejected (UNAUTHENTICATED), missing context (NO_CONTEXT error), Gemini rate limit (GEMINI_ERROR surfaced correctly). The service correctly initializes Firebase from SERVICE_ACCOUNT_JSON, verifies real ID tokens, runs the Gemini tool loop, and handles all error conditions gracefully. by AI for @beastoin |
L2 End-to-End Test Evidence — Desktop App ↔ gRPC Backend (8+ min soak)Setup:
Results (PASS):
App log evidence ( Backend: gRPC server (PID 160934) ran continuously on VPS port 10140. Test performed by: @ren (Mac Mini operator) with @kai (backend + coordination) by AI for @beastoin |
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Review cycle fixes (round 1)Addressed 4 issues from code review:
by AI for @beastoin |
Review cycle fixes (round 2)Mid-session reconnect: Added
This covers both startup failures and mid-session disconnects. by AI for @beastoin |
…ction Defines the ProactiveAI service contract with bidi streaming Session RPC. Includes ClientEvent/ServerEvent oneof messages, ToolCallRequest/ToolResult for desktop search delegation, and SessionContext for task state prefetch. Refs #6153 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Auto-generated from proto/proactive/v1/proactive.proto using grpc_tools.protoc. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Extracts and verifies Firebase UID from gRPC 'authorization' metadata. Uses contextvars for request-scoped UID propagation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Drives the Gemini generateContent API for task extraction from screenshots. 5 tool declarations (search_similar, search_keywords, extract_task, reject_task, no_task_found). Search tools yield ToolCallRequest for desktop round-trip; terminal tools yield AnalysisOutcome directly. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Handles ClientHello handshake, context caching, FrameEvent dispatch to ServerTaskAssistant, and heartbeat keepalive. Auth verified once at stream open. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Async gRPC server with Firebase init, keepalive tuning, and 10MB message size limit for screenshot payloads. Port 50051 (configurable via GRPC_PORT). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Python 3.11-slim, installs proactive-specific requirements, exposes port 50051. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
grpcio, grpcio-tools, protobuf, firebase-admin, httpx. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Regenerates Python gRPC stubs from proto/proactive/v1/proactive.proto into backend/proactive/v1/. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
5 tests: ClientHello handshake, frame-before-hello error, heartbeat silence, context refresh on frame, auth failure abort. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
14 tests: prompt building (4), function call parsing (3), priority mapping (1), terminal decisions (3), search delegation (1), error handling (1), no-function-call fallback (1). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Required by the proactive AI gRPC service. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…estore schema fields Addresses 3 review findings: 1. Error messages no longer leak API key — logs error_type only, not full URL 2. Search tools now await receive_tool_result() and inject results back into Gemini conversation for multi-turn extract/reject/no_task decisions 3. extract_task tool declaration and ExtractedTask construction now include source_category, source_subcategory, and relevance_score for schema parity Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Service layer now runs analyze_frame in a background task and shuttles ToolCallRequest/ToolResult between the generator and the bidi stream. Removes placeholder _make_tool_sender/_make_tool_receiver stubs. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
… sanitization tests 5 new tests: search→extract full loop, search→reject full loop, tool result timeout, source_category/relevance_score parity, API key not leaked in error messages. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Removes stale send_tool_request parameter from mock_analyze_frame. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Use asyncio.wait with FIRST_COMPLETED for concurrent output/client reads during tool waits (fixes timeout race where stream blocks) - Enforce request_id matching on tool results (discard mismatches) - Accept heartbeats during tool wait periods Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…indow Move the onDisconnect callback registration to before client.connect() so there's no window where transport death goes unnoticed. Previously the callback was wired after connect + actor-isolated awaits, leaving a gap where handleCallEnded would find onDisconnect == nil. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Review fixes (iteration 7)Pre-connect callback wiring (high)Moved Swift build succeeds. All 66 backend tests pass. by AI for @beastoin |
Verifies that heartbeat messages received during tool_call_request processing are silently ignored without crashing. Covers the tool wait code path in service.py. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Tests isRetryable property for all error variants and verifies error descriptions are non-nil. Covers the retryable vs fatal error branching used by TaskAssistant. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CP8 tester: added tests (iteration 1 response)Backend: new boundary tests added
Desktop: new error classification tests
Coverage pushback (out of scope for unit tests)
Test summary
All tests are wired into by AI for @beastoin |
CP8 tester response (iteration 2)Pushback on desktop gRPC integration testsThe tester requests tests for
Pre-existing Swift test failuresThe desktop test target has 3 pre-existing compile errors ( CP9 live testing will cover these pathsAll 3 requested behaviors (timeouts, reconnect, retryable errors) will be verified during CP9A (L1 standalone) and CP9B (L2 integrated) testing with a real backend + desktop app running together. by AI for @beastoin |
CP9 Live Testing EvidenceL1 Synthesis (CP9A - standalone)Backend: Python module imports cleanly, startup guard correctly rejects missing GEMINI_API_KEY. All 41 unit tests pass (P1-P3 covered). Desktop: Swift build succeeds in 30s. ProactiveGRPCErrorTests verify error classification (P4-P5 covered). L2 Synthesis (CP9B - integrated)Backend gRPC server starts with dummy key and listens on port 50051 (verified via lsof). Protocol lifecycle verified via 41 unit tests exercising real Changed-path coverage checklist
L3 (CP9C)Not required — PR does not touch cluster config, Helm charts, or remote infrastructure. by AI for @beastoin |
Bidirectional WebSocket endpoint at /v1/proactive with JSON protocol, tool-call routing, and session-level context caching. Prioritizes generator output over client reads in the bidi wait loop to prevent _STREAM_END from consuming events meant for the client. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…protocol Replace protobuf message construction with plain dict yields, remove gRPC/proto imports, use string-based tool kinds and outcome types. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
10 tests covering handshake, context refresh, bidi tool result routing, heartbeat during tool wait, request_id mismatch, queue overflow, tool result timeout, and generator error surfacing. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace protobuf message assertions with dict-based checks, remove priority enum mapping tests, update all 24 tests for WebSocket JSON. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Reuses backend Docker image with separate service identity, node affinity, and Datadog tracing. Dev and prod values included. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Delete Dockerfile, auth, protobuf generated code, gRPC service, and standalone main — all replaced by the WebSocket router. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
No longer needed after migrating to WebSocket transport. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
URLSession-based WebSocket client with JSON protocol, tool call routing, automatic reconnection, and session context management. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace protobuf types with Codable structs, update frame event construction, and tool result handling for JSON transport. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…nsport Replace gRPC client instantiation with WebSocket client, update session lifecycle, context pushing, and disconnect handling. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Delete protobuf swift, gRPC swift, gRPC client, and gRPC error tests — all replaced by WebSocket equivalents. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Test ProactiveWebSocketClient error handling for connection failures, auth errors, server errors, and timeout scenarios. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The WebSocket client reads OMI_API_HOST/OMI_API_PORT but run.sh was still bootstrapping the old OMI_GRPC_HOST/OMI_GRPC_PORT vars. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Limit client_queue to 8 items so _pump_client applies backpressure when the server is busy with Gemini calls or tool waits. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Cover 30s bidi wait timeout, 60s analysis timeout, and standalone tool_result queue capacity (first 4 retained, rest dropped). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Verify second Gemini call includes functionCall/functionResponse continuation, and jpeg_base64 is forwarded as inline_data. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add _BIDI_WAIT_TIMEOUT_S and _ANALYSIS_TIMEOUT_S module-level constants replacing hardcoded 30.0 and 60.0 values in the bidi wait loop. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…paths Bidi timeout test now patches _BIDI_WAIT_TIMEOUT_S to 0.05s with client staying connected, proving the if-not-done cancellation path. Analysis timeout test patches _ANALYSIS_TIMEOUT_S. Queue retention test verifies first 4 items retained and extras dropped via QueueFull. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CP8 Test Detail Table
CP9 Changed-Path Coverage Checklist
by AI for @beastoin |
CP9 Live Test Evidence — L1 + L2L1 (Build + standalone test) ✅Backend:
Desktop:
Helm:
L2 (Integrated service + app test) ✅Full local backend startup blocked by missing Firebase credentials ( Test 1 — Simple protocol round-trip:
Test 2 — Bidi tool-routing integration:
Protocol compatibility:
L3 (Dev GKE)
|
| Path ID | Changed path | Happy-path | Non-happy-path | L1 | L2 | L3 |
|---|---|---|---|---|---|---|
| P1 | routers/proactive.py:handle_proactive_session + bidi loop |
client_hello→session_ready, frame→outcome | timeout, mismatch, overflow, disconnect | ✅ 13 tests | ✅ 2 integration | |
| P2 | proactive/task_assistant.py:ServerTaskAssistant.analyze_frame |
search+extract, search+reject, continuation | Gemini error, timeout, max iterations, unknown func | ✅ 26 tests | ✅ integration | |
| P3 | ProactiveWebSocketClient.swift |
Swift build succeeds, types match | Error classification compiles | ✅ build | ✅ protocol match | |
| P4 | desktop/run.sh env vars |
OMI_API_HOST/PORT bootstrapped | conditional guard | ✅ verified | ✅ verified | N/A |
| P5 | backend/charts/backend-proactive/ |
lint+template pass | N/A (declarative) | ✅ lint | ✅ template | |
| P6 | AGENTS.md + CLAUDE.md |
updated | N/A (docs) | ✅ | ✅ | N/A |
by AI for @beastoin
1 participant
Summary
/v1/proactive, deployed via the shared backend Docker image (same pattern as transcribe.py)Architecture Decision
Chosen: Option A — WebSocket router inside shared backend image
Rationale:
Changes
Backend (WebSocket router)
routers/proactive.py— WebSocket session handler with bidi tool result routing, heartbeat handling, context caching, output-first event prioritization in bidi wait loop, bounded client_queue (maxsize=8) for backpressureproactive/task_assistant.py— Refactored from protobuf to JSON dict yields; Gemini tool loop with search/extract/reject functionsmain.py— Router registrationcharts/backend-proactive/— Helm chart with dev/prod values, separate node affinity and autoscalingDesktop (WebSocket client)
ProactiveWebSocketClient.swift— URLSession-based WebSocket client with JSON protocol, automatic reconnection, session context managementTaskAssistant.swift— Updated for Codable structs (replaced protobuf types)ProactiveAssistantsPlugin.swift— Updated lifecycle for WebSocket transportrun.sh— Updated env var bootstrap from OMI_GRPC_* to OMI_API_* (host/port for WS endpoint)Removed
proactive/service.py,auth.py,main.py,Dockerfile— standalone gRPC serviceproactive/v1/— protobuf generated codedesktop/GRPC/— gRPC Swift generated code and clientPackage.swift— grpc-swift and swift-protobuf dependenciesDocs
AGENTS.md— Updated proactive service description from gRPC/50051 to WebSocket router, added backend-proactive to Helm charts listCLAUDE.md— Updated service map to matchTests
test_proactive_session.py— 10 tests: handshake, context refresh, bidi tool routing, heartbeat during tool wait, request_id mismatch, queue overflow, tool result timeout, generator error surfacingtest_proactive_task_loop.py— 24 tests: prompt building, function parsing, terminal outcomes, search+extract/reject loops, error handling, API key leak preventionReview cycle fixes (R1)
run.shnow bootstrapsOMI_API_HOST/OMI_API_PORT(wasOMI_GRPC_*)client_queue(maxsize=8)for backpressure to prevent OOM from buffered framesAGENTS.mdandCLAUDE.mdto reflect WebSocket architecture (was still referencing gRPC/50051)Test plan
python3.11 -m pytest tests/unit/test_proactive_session.py tests/unit/test_proactive_task_loop.py)bash test.sh)Closes #6153
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