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Fix v3 actor provider resolution for models without / separator #10926

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opened 2026-04-29 08:13:03 +00:00 by hurui200320 · 1 comment
hurui200320 commented 2026-04-29 08:13:03 +00:00
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Metadata

  • Commit Message: fix(actor): resolve provider from explicit field in v3 YAML before inferring from model
  • Branch: bugfix/m3-v3-actor-provider-resolution

Background and context

The v3 actor YAML schema supports an explicit provider field (e.g., provider: anthropic) alongside model (e.g., model: claude-sonnet-4-20250514). The specification (line 21412) defines the resolution order for provider/model as:

  1. CLI override
  2. Top-level provider / model keys
  3. Top-level provider_type / model_id aliases
  4. v2-extracted values from actors.<name>.config.provider / .model

Additionally, the v3 ActorConfigSchema (schema.py line 747) defines provider as an explicit field with description "LLM provider (e.g. openai, anthropic)".

Current behavior

Two bugs prevent built-in LLM actors from working when the model name lacks a / separator (e.g., claude-sonnet-4-20250514):

  1. _generate_builtin_actor_yaml (actor/registry.py line 128) constructs the model field as f"{provider}/{model}", producing "Anthropic/claude-sonnet-4-20250514". The Anthropic API expects just "claude-sonnet-4-20250514", causing a 404 error.

  2. _build_from_v3 (reactive/config_parser.py line 306) always infers the provider from the model string via infer_provider_from_model(). Since claude-sonnet-4-20250514 contains no /, this returns "custom" — which is not a valid ProviderType, causing Unknown provider type: custom.

The net result: uv run agents actor run anthropic/claude-sonnet-4-20250514 hi fails with Unexpected error: Unknown provider type: custom.

Expected behavior

  • The explicit provider field in v3 YAML should be respected per the spec's resolution order (step 2: top-level provider key).
  • Built-in actors should generate YAML with the model identifier as-is (no provider prefix), and the provider field should be lowercase to match ProviderType enum values.
  • uv run agents actor run anthropic/claude-sonnet-4-20250514 hi should successfully invoke the Anthropic API.

Acceptance criteria

  • _build_from_v3 checks for an explicit provider field in the v3 YAML data before falling back to infer_provider_from_model(model).
  • _generate_builtin_actor_yaml generates model as the bare model identifier (e.g., claude-sonnet-4-20250514), not provider/model.
  • _generate_builtin_actor_yaml generates provider in lowercase (e.g., anthropic, not Anthropic).
  • uv run agents actor run anthropic/claude-sonnet-4-20250514 hi succeeds and returns a response from the Anthropic API.
  • Existing actors with / in the model string (e.g., openrouter/anthropic-claude-sonnet-4-20250514) continue to work via the inference fallback.
  • All existing tests pass.

Supporting information

  • Spec reference: line 21412 (provider/model resolution order), line 20586 (config.provider field definition)
  • Schema reference: ActorConfigSchema.provider field at actor/schema.py line 747
  • Affected files:
    • src/cleveragents/reactive/config_parser.py — _build_from_v3 method
    • src/cleveragents/actor/registry.py — _generate_builtin_actor_yaml method

Subtasks

  • Fix _build_from_v3 to check explicit provider field before inferring from model
  • Fix _generate_builtin_actor_yaml to use bare model identifier and lowercase provider
  • Remove @tdd_expected_fail from features/tdd_actor_run_response.feature (bug #10861 fixed as side effect)
  • Run nox (all default sessions), fix any errors
  • Verify coverage >= 97% via nox -s coverage_report

Definition of Done

This issue is complete when:

  • All subtasks above are completed and checked off.
  • A Git commit is created where the first line of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation.
  • The commit is pushed to the remote on the branch matching the Branch in Metadata exactly.
  • The commit is submitted as a pull request to master, reviewed, and merged before this issue is marked done.
## Metadata - **Commit Message**: `fix(actor): resolve provider from explicit field in v3 YAML before inferring from model` - **Branch**: `bugfix/m3-v3-actor-provider-resolution` ## Background and context The v3 actor YAML schema supports an explicit `provider` field (e.g., `provider: anthropic`) alongside `model` (e.g., `model: claude-sonnet-4-20250514`). The specification (line 21412) defines the resolution order for provider/model as: 1. CLI override 2. Top-level `provider` / `model` keys 3. Top-level `provider_type` / `model_id` aliases 4. v2-extracted values from `actors.<name>.config.provider` / `.model` Additionally, the v3 `ActorConfigSchema` (schema.py line 747) defines `provider` as an explicit field with description `"LLM provider (e.g. openai, anthropic)"`. ## Current behavior Two bugs prevent built-in LLM actors from working when the model name lacks a `/` separator (e.g., `claude-sonnet-4-20250514`): 1. **`_generate_builtin_actor_yaml`** (`actor/registry.py` line 128) constructs the model field as `f"{provider}/{model}"`, producing `"Anthropic/claude-sonnet-4-20250514"`. The Anthropic API expects just `"claude-sonnet-4-20250514"`, causing a 404 error. 2. **`_build_from_v3`** (`reactive/config_parser.py` line 306) always infers the provider from the model string via `infer_provider_from_model()`. Since `claude-sonnet-4-20250514` contains no `/`, this returns `"custom"` — which is not a valid `ProviderType`, causing `Unknown provider type: custom`. The net result: `uv run agents actor run anthropic/claude-sonnet-4-20250514 hi` fails with `Unexpected error: Unknown provider type: custom`. ## Expected behavior - The explicit `provider` field in v3 YAML should be respected per the spec's resolution order (step 2: top-level `provider` key). - Built-in actors should generate YAML with the model identifier as-is (no provider prefix), and the provider field should be lowercase to match `ProviderType` enum values. - `uv run agents actor run anthropic/claude-sonnet-4-20250514 hi` should successfully invoke the Anthropic API. ## Acceptance criteria - [ ] `_build_from_v3` checks for an explicit `provider` field in the v3 YAML data before falling back to `infer_provider_from_model(model)`. - [ ] `_generate_builtin_actor_yaml` generates `model` as the bare model identifier (e.g., `claude-sonnet-4-20250514`), not `provider/model`. - [ ] `_generate_builtin_actor_yaml` generates `provider` in lowercase (e.g., `anthropic`, not `Anthropic`). - [ ] `uv run agents actor run anthropic/claude-sonnet-4-20250514 hi` succeeds and returns a response from the Anthropic API. - [ ] Existing actors with `/` in the model string (e.g., `openrouter/anthropic-claude-sonnet-4-20250514`) continue to work via the inference fallback. - [ ] All existing tests pass. ## Supporting information - Spec reference: line 21412 (provider/model resolution order), line 20586 (`config.provider` field definition) - Schema reference: `ActorConfigSchema.provider` field at `actor/schema.py` line 747 - Affected files: - `src/cleveragents/reactive/config_parser.py` — `_build_from_v3` method - `src/cleveragents/actor/registry.py` — `_generate_builtin_actor_yaml` method ## Subtasks - [x] Fix `_build_from_v3` to check explicit `provider` field before inferring from model - [x] Fix `_generate_builtin_actor_yaml` to use bare model identifier and lowercase provider - [x] Remove `@tdd_expected_fail` from `features/tdd_actor_run_response.feature` (bug #10861 fixed as side effect) - [x] Run `nox` (all default sessions), fix any errors - [x] Verify coverage >= 97% via `nox -s coverage_report` ## Definition of Done This issue is complete when: - All subtasks above are completed and checked off. - A Git commit is created where the **first line** of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation. - The commit is pushed to the remote on the branch matching the **Branch** in Metadata exactly. - The commit is submitted as a **pull request** to `master`, reviewed, and **merged** before this issue is marked done.
hurui200320 added this to the v3.2.0 milestone 2026-04-29 08:14:21 +00:00
hurui200320 commented 2026-04-29 10:11:18 +00:00
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Implementation Notes

Fix 1: _generate_builtin_actor_yaml in ActorRegistry (actor/registry.py)

Problem: The model field was being constructed as f"{provider}/{model}" (e.g. "anthropic/claude-sonnet-4-20250514"). The Anthropic API expects just the bare model ID "claude-sonnet-4-20250514". Additionally, the provider field was stored with the original case from ProviderInfo.name (e.g. "Anthropic") which didn't match ProviderType enum values (lowercase).

Fix: Changed "model": f"{provider}/{model}" to "model": model and "provider": provider to "provider": provider.lower(). The description still shows provider/model for human readability. This is a minimal, targeted change that doesn't affect the canonical config_blob stored on the actor entity — only the v3 YAML text that is fed to _build_from_v3.

Fix 2: _build_from_v3 in ReactiveConfigParser (reactive/config_parser.py)

Problem: Provider was always inferred from the model string via infer_provider_from_model(model). For bare model IDs like "claude-sonnet-4-20250514" (no /), this returned "custom" — an invalid ProviderType value — causing Unknown provider type: custom when SimpleLLMAgent._resolve_llm() tried to create the LLM.

Fix: Added a check for an explicit top-level provider field in the v3 YAML data before falling back to inference. This follows the spec resolution order (step 2: top-level provider key takes precedence). The fix is: if data.get("provider") is a non-empty string, use it directly; otherwise fall back to infer_provider_from_model(model). This ensures models with / in their name (e.g. OpenRouter's openrouter/anthropic-claude-sonnet) continue to work via inference when no explicit provider field is present.

Side Effect: Issue #10861 Fixed

The TDD capture test features/tdd_actor_run_response.feature was tagged @tdd_expected_fail to capture bug #10861 (agents actor run returning no response). After Fix 1, built-in actor YAML now has:

  • model: claude-sonnet-4-20250514 (bare, correct)
  • provider: anthropic (lowercase, matches ProviderType.ANTHROPIC)

This allows _build_from_v3 to correctly resolve the provider and model, and the agents actor run command now successfully invokes the mock LLM in the test and returns the expected response. The @tdd_expected_fail tag was removed from the test.

Tests Added

features/builtin_actor_v3_yaml.feature — 3 new @tdd_issue_10926 scenarios:

  1. Built-in actor YAML uses bare model identifier without provider prefix — verifies model: claude-sonnet-4-20250514 not model: anthropic/claude-sonnet-4-20250514
  2. Built-in actor YAML has lowercase provider field — verifies provider: anthropic not provider: Anthropic
  3. Built-in actor YAML for model without slash has separate provider and model fields — validates full schema compliance

features/actor_v3_route_synthesis.feature — 3 new @tdd_issue_10926 scenarios:

  1. v3 actor with explicit provider field uses it without inference — provider: anthropic + model: claude-sonnet-4-20250514 → agent config has provider: anthropic
  2. v3 actor without explicit provider falls back to inference from model with slash — model: openrouter/anthropic-claude-sonnet → inferred provider: openrouter
  3. v3 actor with model without slash and no explicit provider gets custom provider — model: gpt-4-turbo, no provider → provider: custom

Quality Gate Results

  • lint: PASS
  • typecheck: PASS (0 errors, 3 warnings from external stubs only)
  • unit_tests: PASS (671 features, 15673 scenarios, 0 failures)
  • integration_tests: PASS (1997/1997)
  • coverage_report: PASS (97.12% ≥ 97%)

PR

See PR #10930: #10930

## Implementation Notes ### Fix 1: `_generate_builtin_actor_yaml` in `ActorRegistry` (actor/registry.py) **Problem:** The `model` field was being constructed as `f"{provider}/{model}"` (e.g. `"anthropic/claude-sonnet-4-20250514"`). The Anthropic API expects just the bare model ID `"claude-sonnet-4-20250514"`. Additionally, the `provider` field was stored with the original case from `ProviderInfo.name` (e.g. `"Anthropic"`) which didn't match `ProviderType` enum values (lowercase). **Fix:** Changed `"model": f"{provider}/{model}"` to `"model": model` and `"provider": provider` to `"provider": provider.lower()`. The description still shows `provider/model` for human readability. This is a minimal, targeted change that doesn't affect the canonical `config_blob` stored on the actor entity — only the v3 YAML text that is fed to `_build_from_v3`. ### Fix 2: `_build_from_v3` in `ReactiveConfigParser` (reactive/config_parser.py) **Problem:** Provider was always inferred from the model string via `infer_provider_from_model(model)`. For bare model IDs like `"claude-sonnet-4-20250514"` (no `/`), this returned `"custom"` — an invalid `ProviderType` value — causing `Unknown provider type: custom` when `SimpleLLMAgent._resolve_llm()` tried to create the LLM. **Fix:** Added a check for an explicit top-level `provider` field in the v3 YAML data before falling back to inference. This follows the spec resolution order (step 2: top-level `provider` key takes precedence). The fix is: if `data.get("provider")` is a non-empty string, use it directly; otherwise fall back to `infer_provider_from_model(model)`. This ensures models with `/` in their name (e.g. OpenRouter's `openrouter/anthropic-claude-sonnet`) continue to work via inference when no explicit `provider` field is present. ### Side Effect: Issue #10861 Fixed The TDD capture test `features/tdd_actor_run_response.feature` was tagged `@tdd_expected_fail` to capture bug #10861 (`agents actor run` returning no response). After Fix 1, built-in actor YAML now has: - `model: claude-sonnet-4-20250514` (bare, correct) - `provider: anthropic` (lowercase, matches `ProviderType.ANTHROPIC`) This allows `_build_from_v3` to correctly resolve the provider and model, and the `agents actor run` command now successfully invokes the mock LLM in the test and returns the expected response. The `@tdd_expected_fail` tag was removed from the test. ### Tests Added **`features/builtin_actor_v3_yaml.feature`** — 3 new `@tdd_issue_10926` scenarios: 1. `Built-in actor YAML uses bare model identifier without provider prefix` — verifies `model: claude-sonnet-4-20250514` not `model: anthropic/claude-sonnet-4-20250514` 2. `Built-in actor YAML has lowercase provider field` — verifies `provider: anthropic` not `provider: Anthropic` 3. `Built-in actor YAML for model without slash has separate provider and model fields` — validates full schema compliance **`features/actor_v3_route_synthesis.feature`** — 3 new `@tdd_issue_10926` scenarios: 1. `v3 actor with explicit provider field uses it without inference` — `provider: anthropic` + `model: claude-sonnet-4-20250514` → agent config has `provider: anthropic` 2. `v3 actor without explicit provider falls back to inference from model with slash` — `model: openrouter/anthropic-claude-sonnet` → inferred `provider: openrouter` 3. `v3 actor with model without slash and no explicit provider gets custom provider` — `model: gpt-4-turbo`, no `provider` → `provider: custom` ### Quality Gate Results - lint: PASS - typecheck: PASS (0 errors, 3 warnings from external stubs only) - unit_tests: PASS (671 features, 15673 scenarios, 0 failures) - integration_tests: PASS (1997/1997) - coverage_report: PASS (97.12% ≥ 97%) ### PR See PR #10930: https://git.cleverthis.com/cleveragents/cleveragents-core/pulls/10930
hurui200320 2026-04-30 02:20:27 +00:00
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Most recent merge cycle hit CI timeout. Driver excludes this PR while last merge_cycle row is < 30 min old; label persists thereafter as visible history.

  
auto/claimed-implementer
Currently being processed by an implementer worker.

  
auto/claimed-merge
Currently being processed by the merge driver.

  
auto/claimed-reviewer
Currently being processed by a reviewer worker.

  
auto/driver-down
Merge driver heartbeat stale; pipeline halted. Closed automatically on next clean tick.

  
auto/invariant-violation
Detected master commit violating the strict merge invariant. Tracked as an issue (not a PR label); kept here for label completeness.

  
auto/last-attempt-tier-0
In-cycle escalation: most recent attempt ran at the Tier 0 slot (`tier-0`). Slot's model defined in .opencode/models/tiers.yaml.

  
auto/last-attempt-tier-1
In-cycle escalation: most recent attempt ran at the Tier 1 slot (`tier-1`). Slot's model defined in .opencode/models/tiers.yaml.

  
auto/last-attempt-tier-2
In-cycle escalation: most recent attempt ran at the Tier 2 slot (`tier-2`). Slot's model defined in .opencode/models/tiers.yaml. Gated behind IMPLEMENTER_ESCALATION_TIER2_ENABLED.

  
auto/last-attempt-tier-min
In-cycle escalation: most recent attempt ran at the Tier -1 slot (`tier-min`). Slot's model defined in .opencode/models/tiers.yaml. Suffix is ``-min`` (not ``--1``) so the Forgejo UI reads naturally.

  
Automation Tracking
Tracking issues used by the AI Automation system for agents to communicate and report.

  
auto/needs-conflict-resolution
Rebase conflict needs LLM conflict-resolver.

  
auto/needs-implementer
Failing CI needs implementer attention.

  
auto/postmortem
Documenting a driver incident or rollback.

  
auto/ready-to-merge
Reviewer has APPROVED this PR and no later REQUEST_CHANGES is outstanding. The merge driver requires this label to even consider a PR for merging. Set by the reviewer worker on APPROVE; cleared on REQUEST_CHANGES.

  
auto/restart-throttled
Train repeatedly lost master-tempo races. Driver excludes via merge_cycle until cooldown elapses; label persists as visible history.

  
auto/revert
Revert PR backing out an invariant violation. Fast-tracked through the merge driver.

  
auto/sentinel
Sentinel PR duplicated from upstream into a personal fork by tools/duplicate_prs_to_fork.py for pipeline testing. Lives only in the fork; the canonical pipeline never sees it.

  
auto/stale-inactivity
No implementer activity for N days. Flagged for human review. Auto-cleared on next push to head branch.

  
auto/unstable
Repeatedly fails on current master (>= 3 ci-fail-on-rebased-sha releases in 12 h). Excluded from driver until human triage.

  
Blocked
A ticket in a blocked state and unable to complete until some other task is completed first.

  
Bounty
$100
 A bounty of $100 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$1000
 A bounty of $1000 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$10000
 A bounty of $10000 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$20
 A bounty of $20 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$2000
 A bounty of $2000 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$250
 A bounty of $250 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$50
 A bounty of $50 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$500
 A bounty of $500 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$5000
 A bounty of $5000 for any open-source contributor who provides a MR that solves this issue

  
Bounty
$750
 A bounty of $750 for any open-source contributor who provides a MR that solves this issue

  
MoSCoW
Could have
 Could have feature in order to satisfy the epic/legendary.

  
MoSCoW
Must have
 Must have feature in order to satisfy the epic/legendary.

  
MoSCoW
Should have
 Should have feature in order to satisfy the epic/legendary.

  
Needs Feedback
There are questions in the ticket that can not be completed until the project owner provides clarity.

  
Points
1
 1 man-hours worth of work for an expert with no learning curve.

  
Points
13
 13 man-hours worth of work for an expert with no learning curve.

  
Points
2
 2 man-hours worth of work for an expert with no learning curve.

  
Points
21
 21 man-hours worth of work for an expert with no learning curve.

  
Points
3
 3 man-hours worth of work for an expert with no learning curve.

  
Points
34
 34 man-hours worth of work for an expert with no learning curve.

  
Points
5
 5 man-hours worth of work for an expert with no learning curve.

  
Points
55
 55 man-hours worth of work for an expert with no learning curve.

  
Points
8
 8 man-hours worth of work for an expert with no learning curve.

  
Points
88
 88 man-hours worth of work for an expert with no learning curve.

  
Priority
Backlog
 This ticket has backlogged priority and is not to be worked on yet

  
Priority
CI Blocker
 Critical priority issue that blocks CI/CD pipeline and prevents PR merges

  
Priority
Critical
 The priority is critical

  
Priority
High
 The priority is high

  
Priority
Low
 The priority is low

  
Priority
Medium
 The priority is medium

  
Signed-off: Owner
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  
Signed-off: Scrum Master
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  
Signed-off: Tech Lead
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.

  
Spike
A ticket for learning a tool or technology that is needed to be able to do future planning and design.

  
State
Completed
 The ticket has been fully implemented, completed, and merged with the source code. This label should only be applied once a ticket is closed.

  
State
Duplicate
 A ticket that represents the same content as an existing ticket.

  
State
In Progress
 A ticket that is actively being developed.

  
State
In Review
 A ticket that has had some code completed to implement but is waiting to pass peer review and is not yet merged in.

  
State
Paused
 This ticket's work started but wasn't finished. It's on hold (likely in a feature branch) and will be resumed later, either due to a blocker or a delay.

  
State
Unverified
 All new tickets start in this state. A developer may set it to show the ticket is unverified. This means we haven't agreed to work on it. It will either move to a verified state or be closed as wontdo.

  
State
Verified
 The issue has been verified by a developer as legitimate. It will be worked on and verified tickets are now considered part of the backlog.

  
State
Wont Do
 This ticket has been decided it wont be done. This may mean the bug has been determined to not be real (cant verify) or the feature is one we have decided we dont want to adopt.

  
Type
Automation
 Any edits or discussion about the AI automated coding system.

  
Type
Bug
 Something that doesnt work as intended.

  
Type
Discussion
 Anytime a ticket represents a discussion about a subject and doesnt fall into one of the other categories.

  
Type
Documentation
 An error or improvement needed in the documentation.

  
Type
Epic
 Any first tier epic. That is, an epic which contains only issues as children and will not have sub-epics.

  
Type
Feature
 Some new functionality not present.

  
Type
Legendary
 A type of Epic which will contain other Epics.

  
Type
Refactor
 A code change that restructures existing code without changing its external behavior.

  
Type
Support
 Someone needs help using the project.

  
Type
Task
 A generic task that doesnt fit into the other type categories.

  
Type
Testing
 Work exclusively focusing on fixing or expanding testing.

No labels
auto/needs-reevaluation
controller-managed
auto/blocked-by-deps
auto/ci-timeout
auto/claimed-implementer
auto/claimed-merge
auto/claimed-reviewer
auto/driver-down
auto/invariant-violation
auto/last-attempt-tier-0
auto/last-attempt-tier-1
auto/last-attempt-tier-2
auto/last-attempt-tier-min
Automation Tracking
auto/needs-conflict-resolution
auto/needs-implementer
auto/postmortem
auto/ready-to-merge
auto/restart-throttled
auto/revert
auto/sentinel
auto/stale-inactivity
auto/unstable
Blocked
Bounty
$100
Bounty
$1000
Bounty
$10000
Bounty
$20
Bounty
$2000
Bounty
$250
Bounty
$50
Bounty
$500
Bounty
$5000
Bounty
$750
MoSCoW
Could have
MoSCoW
Must have
MoSCoW
Should have
Needs Feedback
Points
1
Points
13
Points
2
Points
21
Points
3
Points
34
Points
5
Points
55
Points
8
Points
88
Priority
Backlog
Priority
CI Blocker
Priority
Critical
Priority
High
Priority
Low
Priority
Medium
Signed-off: Owner
Signed-off: Scrum Master
Signed-off: Tech Lead
Spike
State
Completed
State
Duplicate
State
In Progress
State
In Review
State
Paused
State
Unverified
State
Verified
State
Wont Do
Type
Automation
Type
Bug
Type
Discussion
Type
Documentation
Type
Epic
Type
Feature
Type
Legendary
Type
Refactor
Type
Support
Type
Task
Type
Testing
Milestone
Clear milestone
No items
No milestone
v3.2.0
Projects
Clear projects
No items
No project
Assignees
Clear assignees
No assignees
hurui200320
1 participant
Notifications
Due date
The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Depends on
#10930 fix(actor): resolve provider from explicit field in v3 YAML before inferring from model
cleveragents/cleveragents-core
Reference
cleveragents/cleveragents-core#10926
No description provided.