Route tool-loop follow-ups back to the emitting agent - #1177
Conversation
The Fugu report's Conductor (arXiv:2606.21228 S3; Fugu-Ultra) routes a tool
loop's continuation back to the agent that emitted the tool call. This
gateway previously ranked a follow-up carrying role:"tool" results like any
new request under a virtual selector, so a different provider/model could
receive tool results for calls it never emitted.
TaskOrchestrator now keeps a bounded, thread-safe tool_loop_memory map
(tool_call_id -> emitting agent id, LRU-bounded by
tool_loop_memory_max_entries, default 512) recorded whenever a served
response carries tool_calls on proxy_completion's single-agent passthrough,
route_once, and conduct's worker step. _apply_tool_loop_route moves a
follow-up's remembered emitting agent to the front of the already-filtered
candidate order only when it is still eligible under the request's own
constraints (explicit concrete model is never overridden; free/ZDR scope and
circuit-breaker state are re-checked), falling back to the normal order
otherwise. Served responses carry orchestration.tool_loop_route
("emitting_agent"/"fallback") and orchestration.tool_loop_agent_id as
evidence.
The Responses API's structured-synthesis path is not yet wired into this map
and remains a follow-up.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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📝 WalkthroughWalkthrough
ChangesTool-loop 라우팅
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~25 minutes Change: Bug fix Sequence Diagram(s)sequenceDiagram
participant Client
participant TaskOrchestrator
participant Provider
Client->>TaskOrchestrator: tool 호출 요청
TaskOrchestrator->>Provider: 후보 중 emitting agent 호출
Provider-->>TaskOrchestrator: tool_calls 응답
TaskOrchestrator->>TaskOrchestrator: tool_call_id와 agent ID 저장
Client->>TaskOrchestrator: role: "tool" 결과 후속 요청
TaskOrchestrator->>Provider: 기억된 agent 우선 호출
Provider-->>Client: 후속 응답과 orchestration 증거
Suggested reviewers: Merge Risk: 🔵 Low · up to Explicit-model tool follow-ups can receive misleading routing metadata. The selected model remains unchanged, but the evidence should be corrected before merge. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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…lanes Raise the default LRU bound from 512 to 4096 entries and document why: parallel org CI review lanes each hold several tool call ids in flight, and an early eviction silently degrades a live loop to fallback routing. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Inline comments:
In `@contextual_orchestrator/orchestrator.py`:
- Around line 7514-7519: Update route_once so _apply_tool_loop_route is invoked
only when requested is None; for an explicit concrete model, set
tool_loop_evidence to None while preserving the existing ranked_pool. Do not add
this guard to proxy_completion’s _required_agent_id path.
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📒 Files selected for processing (6)
CHANGELOG.d/tool-loop-emitting-agent-routing.mdcontextual_orchestrator/orchestrator.pydocs/architecture.mddocs/doctoring/TOOL_EXECUTION_FALLBACKS.mddocs/product-technical-gap-baseline.mdtests/test_passthrough_provider_failover.py
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…ence An explicit concrete model is never re-ranked, so route_once must not emit tool_loop_route/tool_loop_agent_id for it either; only virtual selectors consult the emitting-agent memory. Adds a route_once contract test. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
…into tool_loop_memory
_orchestrated_provider_completion (serving /v1/responses and
response_format-only chat passthrough) was not wired into the
tool-loop-emitting-agent routing added for proxy_completion/route_once/
conduct: a served Responses function_call (or a response_format-only
chat tool_calls) never got remembered, so a follow-up carrying the
result could still land on a freshly ranked candidate instead of the
agent that emitted the call.
Generalize recording to both surfaces (a new _responses_output_tool_calls
adapts a Responses function_call's call_id into the same {"id": ...}
shape _record_tool_loop_agents already reads from chat tool_calls), and
apply _apply_tool_loop_route's reorder to the synthesis candidate list
for virtual selectors, attaching tool_loop_route/tool_loop_agent_id
evidence to the orchestration object this path already emits. No lookup
changes were needed on the Responses surface: its input is already
converted to chat-shaped messages (function_call_output -> role: "tool" /
tool_call_id) before candidate selection runs, so the existing chat
lookup covers it unchanged.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
…t chat proxy_completion's single-agent explicit-model passthrough (and its sibling virtual/ranked-candidates passthrough loop) always read a served response's tool calls with _chat_response_tool_calls, so an explicit concrete model on /v1/responses never recorded a served function_call's emitting agent -- silently dropping recording for that surface. Add a shared _served_tool_calls(response, api_surface) dispatcher next to the two extractors and use it at all three record_tool_loop_agents call sites (proxy_completion's explicit-model and virtual passthrough branches, and _orchestrated_provider_completion's structured synthesis), removing the duplicated response_request/api_surface ternary from the latter. Recording only: an explicit concrete model still never gets reordered or evidence, per _apply_tool_loop_route's existing precedence contract. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Pull request overview
OpenCode reviewed the current-head product diff. Coverage is a separate gate.
Changed files
CHANGELOG.d/tool-loop-emitting-agent-routing.md— repository behaviorcontextual_orchestrator/orchestrator.py— Python module behaviordocs/architecture.md— operator or user guidancedocs/doctoring/TOOL_EXECUTION_FALLBACKS.md— operator or user guidancedocs/product-technical-gap-baseline.md— operator or user guidancetests/test_passthrough_provider_failover.py— regression suite
Changed behavior
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Repository file: tool-loop-emitting-agent-routing.md"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Repository file: tool-loop-emitting-agent-routing.md"]
R1 --> V1["required checks"]
Evidence --> S2["Python: orchestrator.py"]
S2 --> I2["Python module behavior"]
I2 --> R2["Review risk: Python: orchestrator.py"]
R2 --> V2["pytest plus coverage"]
Evidence --> S3["Docs: architecture.md (3 files)"]
S3 --> I3["operator or user guidance"]
I3 --> R3["Review risk: Docs: architecture.md (3 files)"]
R3 --> V3["docs review"]
Evidence --> S4["Test: test_passthrough_provider_failover.py"]
S4 --> I4["regression suite"]
I4 --> R4["Review risk: Test: test_passthrough_provider_failover.py"]
R4 --> V4["targeted test run"]
Findings
No source-backed product finding is synthesized from the coverage gate. A coverage miss belongs in the status comment.
- Head SHA:
8652786e62925a4c5adabd275da1955dc8487450 - Workflow run: 34784851740
- Workflow attempt: 1
- Coverage gate:
failure
Review outcome
Coverage is a gate, not the review. This body reviews the changed product files.
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Repository file: tool-loop-emitting-agent-routing.md"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Repository file: tool-loop-emitting-agent-routing.md"]
R1 --> V1["required checks"]
Evidence --> S2["Python: orchestrator.py"]
S2 --> I2["Python module behavior"]
I2 --> R2["Review risk: Python: orchestrator.py"]
R2 --> V2["pytest plus coverage"]
Evidence --> S3["Docs: architecture.md (3 files)"]
S3 --> I3["operator or user guidance"]
I3 --> R3["Review risk: Docs: architecture.md (3 files)"]
R3 --> V3["docs review"]
Evidence --> S4["Test: test_passthrough_provider_failover.py"]
S4 --> I4["regression suite"]
I4 --> R4["Review risk: Test: test_passthrough_provider_failover.py"]
R4 --> V4["targeted test run"]
OpenCode Review Overview
Coverage evidence did not pass, so approval is blocked. The formal pull-request review is the source-backed diff review, not this status comment. |
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CI triage for the The dispatch run behind it ( So this verdict cannot confirm or refute anything about the repaired image. The first meaningful evidence will be a dispatch created after 23:37:49Z; the newest such run right now belongs to another repository and is still queued. No code change applies here, and the two review comments are the opencode overview pair with no findings and no inline threads. Practical consequence worth noting for anyone reading verdicts today: a 🤖 Addressed by Claude Code |
Preserve tool-loop handoff memory and evidence while absorbing main's rate-limit admission, context-window filtering, and output-budget fields. Co-authored-by: Cursor <cursoragent@cursor.com>
1 participant
Paper basis
Fugu report (arXiv:2606.21228 §3) / Fugu-Ultra Conductor: the Conductor routes a tool loop's continuation back to the agent that emitted the tool call — when the client executes the tool and sends results back, the follow-up goes to the same worker, not a freshly selected one.
Gap
A follow-up
POST /v1/chat/completionswhosemessagescontain the assistanttool_callsmessage plusrole: "tool"results was routed like any new request under a virtual selector (orchestrator/free,orchestrator/auto,contextual-orchestrator), so a different provider/model could receive tool results for calls it never emitted — an id-format/behavior mismatch across NIM/OpenRouter/OpenCode models, and a real failure mode for thenoemaandopencodereviewers (org CI) that use tools through this gateway.Design
TaskOrchestratorkeeps a new bounded, thread-safetool_loop_memorymap (tool_call_id -> emitting agent id), guarded by the existing_evidence_lock. Bound isTOOL_LOOP_MEMORY_MAX_ENTRIES = 512(LRU eviction), configurable via the newtool_loop_memory_max_entriesconstructor argument — a memory bound (mirrorsEVIDENCE_CACHE_MAX_ENTRIES), not a product limit; no TTL is layered on since the LRU bound is sufficient._record_tool_loop_agentsrecords an entry whenever a served response carriestool_calls, wired into three call sites:proxy_completion's single-agent passthrough (both the explicit-model early return and the virtual-model failover loop),route_once, andconduct's worker step._apply_tool_loop_route(candidates, messages)is the shared reorder: given an already fully constraint-filtered candidate list (virtual selector, free/ZDR scope, circuit-breaker state, provider exclusions), it moves the remembered emitting agent to the front when that agent is still present incandidates, otherwise it leaves the order untouched and reports a fallback. Because it only reorders within an already-filtered set:orchestrator/freefollow-ups can never return to a non-free emitting agent (a non-free agent is simply absent from the free-filtered candidate list);orchestrationextension now carriestool_loop_route("emitting_agent"or"fallback") andtool_loop_agent_id. For the passthrough path this is attached to the raw provider response'sorchestrationdict (the same convention_orchestrated_provider_completionalready uses for itsrouteevidence); forroute_once/conductit flows throughchat_completion_response/chat_completion_chunks's existingorchestrationdict.Deliberately left out
_orchestrated_provider_completion, used by/v1/responsesandresponse_format-only chat passthrough) is not wired intotool_loop_memory— its request/response shapes differ enough (Responsesfunction_call/call_idvs. chattool_calls/id) that plumbing it in safely needs its own pass. Documented as a follow-up indocs/architecture.mdand the gap-baseline entry.TaskOrchestrator.chat_completion_chunks,_chat_response_sse_chunks) always wraps an already-fully-computed result, so the recording points above already cover the streaming case.Tests
New tests in
tests/test_passthrough_provider_failover.py(nearest existing file covering passthrough failover/ordering):test_tool_loop_follow_up_returns_to_the_emitting_agent— first request served by the lower-priority agent (due to a transient failure on the top-ranked one) withtool_calls; the follow-up with the tool result routes straight to the emitting agent, skipping the top-ranked one.test_tool_loop_falls_back_when_emitting_agent_circuit_is_open— same setup, but the emitting agent's circuit is forced open before the follow-up; routing falls back to the normal order and evidence says"fallback".test_explicit_concrete_model_ignores_tool_loop_memory— a follow-up naming the non-emitting agent's own concrete model id goes straight to that model, memory is not consulted, and noorchestrationkey is added.test_free_model_follow_up_never_routes_to_a_non_free_emitting_agent— the emitting agent was a paid agent; theorchestrator/freefollow-up never returns to it (constraint precedence over tool-loop memory).test_tool_loop_memory_evicts_the_oldest_entry_past_its_bound— withtool_loop_memory_max_entries=1, a second recorded call evicts the first (LRU, not a growing log).Verification
python -m pytest tests/test_api_contract.py tests/test_self_check.py tests/test_passthrough_provider_failover.py tests/test_tool_execution_fallback.py -q→ 187 passed, 4 failed — all 4 are the known local-onlytest_sdk_passthrough_unknown_outcome_never_replays/test_sdk_http_retry_respects_explicit_tool_stop[*]failures asserting the locked openai SDK 2.54.0 while this machine has 2.44.0 installed; unrelated to this change.python -m interrogate -v contextual_orchestrator/→ 100% docstring coverage (687/687), unchanged.python -m pytest tests -q --ignore=tests/fuzz(minus the two known SDK-version cases above) → 3668 passed, 1 skipped, 1 failed (test_privacy_policy_analysis.py::test_pinned_mcp_client_renders_and_closes_camoufox_tab, an unrelated localmcppackage version mismatch — that test file does not importorchestrator.py's routing code).🤖 Generated with Claude Code
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