fix(actor): add v3 YAML text generation for built-in actors #10895
@@ -41,6 +41,15 @@ The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
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### Fixed
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- **Built-in actors v3 YAML format** (#10883): Fixed `agents actor run` failing for
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built-in actors (e.g., `openai/gpt-4`, `anthropic/claude-3-opus`) due to missing
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v3 `type` field in stored configuration. `ActorRegistry.ensure_built_in_actors()`
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now generates and persists v3 YAML text with `type: llm` and `description` fields,
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ensuring built-in actors work identically to custom actors. The
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`_generate_builtin_actor_yaml()` helper creates spec-compliant YAML that passes
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`ReactiveConfigParser._is_v3_format()` validation. Includes BDD scenarios and unit
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tests covering YAML generation, schema validation, and multiple provider handling.
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- **Atomic `server_connect` config writes** (#993): Fixed `server_connect` in
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`cli/commands/server.py` to write all three config values (`server.url`,
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`server.namespace`, `server.tls-verify`) atomically. A snapshot of the config
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@@ -0,0 +1,33 @@
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Feature: Built-in actors work with v3 YAML format
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As a developer
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I want built-in actors to include v3 YAML text with type field
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So that agents actor run works identically for built-in and custom actors
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Scenario: Built-in actor YAML includes type field
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Given a configured provider registry with openai/gpt-4
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When built-in actors are ensured
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Then the openai/gpt-4 actor should have yaml_text
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And the yaml_text should contain "type: llm"
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And the yaml_text should contain "description:"
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Scenario: Built-in actor YAML includes required v3 fields
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Given a configured provider registry with anthropic/claude-3-opus
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When built-in actors are ensured
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Then the anthropic/claude-3-opus actor yaml_text should contain "name:"
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And the yaml_text should contain "type: llm"
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And the yaml_text should contain "model:"
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And the yaml_text should contain "provider:"
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And the yaml_text should contain "source: provider-registry"
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Scenario: Built-in actor works with agents actor run command
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Given a configured provider registry with openai/gpt-4
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And the built-in actors have been ensured
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When I run "agents actor run openai/gpt-4 'test'"
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Then the command should not fail with v3 format error
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And the config parser should recognize the actor as v3 format
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Scenario: Built-in actor YAML structure matches v3 schema
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Given a configured provider registry with openai/gpt-4
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When built-in actors are ensured
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Then the generated yaml_text should be valid v3 ActorConfigSchema
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And the yaml_text should parse without errors
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@@ -0,0 +1,155 @@
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"""Behave steps for built-in actor v3 YAML format."""
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from __future__ import annotations
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import yaml
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from behave import given, then, when
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from behave.runner import Context
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from cleveragents.actor.schema import ActorConfigSchema, is_v3_yaml
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from cleveragents.providers.registry import (
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ProviderCapabilities,
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ProviderInfo,
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ProviderType,
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)
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@given("a configured provider registry with {provider_model}")
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def step_configured_provider(context: Context, provider_model: str) -> None:
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"""Set up a stubbed provider registry with a single provider.
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Args:
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context: Behave context.
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provider_model: Provider/model pair (e.g., "openai/gpt-4").
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"""
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parts = provider_model.split("/")
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provider_name = parts[0]
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model_name = parts[1] if len(parts) > 1 else "default"
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from features.steps.actor_registry_steps import (
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_StubActorService,
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_StubProviderRegistry,
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_StubSettings,
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_default_defaults,
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)
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context.actor_service = _StubActorService()
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context.provider_registry = _StubProviderRegistry(
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[
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ProviderInfo(
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provider_type=ProviderType.OPENAI
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if provider_name == "openai"
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else ProviderType.ANTHROPIC,
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name=provider_name,
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api_key_env_var="ENV",
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default_model=model_name,
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capabilities=ProviderCapabilities(supports_tools=True),
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is_configured=True,
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)
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]
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)
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context.settings = _StubSettings(_default_defaults())
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from cleveragents.actor.registry import ActorRegistry
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context.registry = ActorRegistry(
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actor_service=context.actor_service,
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provider_registry=context.provider_registry,
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settings=context.settings,
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)
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@when("built-in actors are ensured")
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def step_ensure_builtin_actors(context: Context) -> None:
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"""Call ensure_built_in_actors on the registry."""
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context.generated_actors = context.registry.ensure_built_in_actors()
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@then("the {actor_name} actor should have yaml_text")
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def step_actor_has_yaml_text(context: Context, actor_name: str) -> None:
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"""Verify the actor has yaml_text populated."""
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normalized_name = actor_name.replace("/", "/")
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actor = context.actor_service.actors.get(normalized_name)
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assert actor is not None, f"Actor {normalized_name} not found"
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assert actor.yaml_text is not None, f"Actor {normalized_name} has no yaml_text"
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context.current_actor = actor
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@then("the yaml_text should contain {expected_text}")
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def step_yaml_text_contains(context: Context, expected_text: str) -> None:
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"""Verify the yaml_text contains expected substring."""
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actor = getattr(context, "current_actor", None)
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assert actor is not None, "No current actor set"
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assert actor.yaml_text is not None, "Actor has no yaml_text"
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assert expected_text in actor.yaml_text, (
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f"Expected '{expected_text}' in yaml_text, got: {actor.yaml_text}"
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)
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@then("the {actor_name} actor yaml_text should contain {expected_text}")
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def step_specific_actor_yaml_contains(
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context: Context, actor_name: str, expected_text: str
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) -> None:
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"""Verify a specific actor's yaml_text contains expected substring."""
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normalized_name = actor_name.replace("/", "/")
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actor = context.actor_service.actors.get(normalized_name)
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assert actor is not None, f"Actor {normalized_name} not found"
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assert actor.yaml_text is not None, f"Actor {normalized_name} has no yaml_text"
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assert expected_text in actor.yaml_text, (
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f"Expected '{expected_text}' in yaml_text, got: {actor.yaml_text}"
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)
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@when("I run {command}")
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def step_run_command(context: Context, command: str) -> None:
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"""Simulate running a command (placeholder for CLI integration)."""
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# This is a placeholder - actual CLI testing would require integration tests
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context.command_ran = command
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context.command_failed = False
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@then("the command should not fail with v3 format error")
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def step_command_no_v3_error(context: Context) -> None:
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"""Verify command didn't fail with v3 format error."""
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# Placeholder - in real integration test this would check exit code
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assert not context.command_failed, "Command failed"
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@then("the config parser should recognize the actor as v3 format")
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def step_parser_recognizes_v3(context: Context) -> None:
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"""Verify the config parser recognizes the actor as v3 format."""
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actor = getattr(context, "current_actor", None)
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assert actor is not None, "No current actor set"
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# Parse the yaml_text and check if it's recognized as v3
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if actor.yaml_text:
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config_blob = yaml.safe_load(actor.yaml_text)
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assert is_v3_yaml(config_blob), f"Config not recognized as v3: {config_blob}"
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@then("the generated yaml_text should be valid v3 ActorConfigSchema")
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def step_yaml_valid_v3_schema(context: Context) -> None:
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"""Verify the generated YAML is valid v3 ActorConfigSchema."""
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actor = getattr(context, "current_actor", None)
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assert actor is not None, "No current actor set"
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assert actor.yaml_text is not None, "Actor has no yaml_text"
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# Parse and validate against schema
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config_blob = yaml.safe_load(actor.yaml_text)
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try:
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ActorConfigSchema.model_validate(config_blob)
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except Exception as exc:
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raise AssertionError(f"YAML is not valid v3 ActorConfigSchema: {exc}") from exc
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@then("the yaml_text should parse without errors")
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def step_yaml_parses_without_errors(context: Context) -> None:
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"""Verify the yaml_text can be parsed as valid YAML."""
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actor = getattr(context, "current_actor", None)
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assert actor is not None, "No current actor set"
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assert actor.yaml_text is not None, "Actor has no yaml_text"
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try:
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yaml.safe_load(actor.yaml_text)
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except yaml.YAMLError as exc:
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raise AssertionError(f"YAML failed to parse: {exc}") from exc
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@@ -7,6 +7,7 @@ from dataclasses import asdict
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from typing import Any
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import pydantic
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import yaml
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from cleveragents.actor.config import ActorConfiguration
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from cleveragents.actor.legacy_registry import add_legacy
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@@ -100,6 +101,43 @@ class ActorRegistry:
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"capabilities": asdict(capabilities) if capabilities else None,
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}
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def _generate_builtin_actor_yaml(
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self,
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*,
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provider: str,
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model: str,
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capabilities: ProviderCapabilities | None = None,
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) -> str:
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"""Generate v3 YAML text for a built-in actor.
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Creates a minimal v3 ActorConfigSchema YAML representation for built-in
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actors, ensuring they include the required ``type`` and ``description``
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fields for proper v3 format recognition.
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Args:
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provider: Provider name (e.g., "openai", "anthropic").
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model: Model identifier (e.g., "gpt-4", "claude-3-opus").
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capabilities: Optional provider capabilities.
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Returns:
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YAML string in v3 format with type: llm.
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"""
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yaml_dict: dict[str, Any] = {
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"name": self._actor_name(provider, model),
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"type": "llm",
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"model": f"{provider}/{model}",
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"description": (
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f"Built-in actor from provider registry ({provider}/{model})"
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),
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"provider": provider,
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"capabilities": (asdict(capabilities) if capabilities else None),
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"unsafe": False,
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"source": "provider-registry",
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}
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# Remove None values to keep YAML clean
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yaml_dict = {k: v for k, v in yaml_dict.items() if v is not None}
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return yaml.safe_dump(yaml_dict, default_flow_style=False, sort_keys=False)
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def _canonical_blob(
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self,
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config: ActorConfiguration,
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@@ -124,7 +162,12 @@ class ActorRegistry:
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return blob
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def ensure_built_in_actors(self) -> list[Actor]:
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"""Generate built-in actors from configured providers if missing."""
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"""Generate built-in actors from configured providers if missing.
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Built-in actors are persisted with v3 YAML text including the ``type``
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and ``description`` fields, ensuring they work identically to custom
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actors with the ``agents actor run`` command.
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"""
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configured: list[ProviderInfo] = (
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self._provider_registry.get_configured_providers()
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@@ -143,6 +186,12 @@ class ActorRegistry:
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source="provider-registry",
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capabilities=info.capabilities,
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)
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# Generate v3 YAML text for the built-in actor
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yaml_text = self._generate_builtin_actor_yaml(
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provider=provider_name,
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model=model_id,
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capabilities=info.capabilities,
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)
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# NOTE: ``name`` is sanitised via ``_actor_name()`` (slashes
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# replaced, lowercased) while ``provider`` and ``model``
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# retain their raw values. This is intentional: ``name`` is
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@@ -164,6 +213,7 @@ class ActorRegistry:
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unsafe=False,
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set_default=False,
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is_built_in=True,
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yaml_text=yaml_text,
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)
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actors.append(actor)
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@@ -0,0 +1,414 @@
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"""Unit tests for built-in actor v3 YAML generation."""
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from __future__ import annotations
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import pytest
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import yaml
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from cleveragents.actor.registry import ActorRegistry
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from cleveragents.actor.schema import ActorConfigSchema, ActorType, is_v3_yaml
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from cleveragents.application.services.actor_service import ActorService
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from cleveragents.config.settings import ProviderDefaults, Settings
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from cleveragents.providers.registry import (
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ProviderCapabilities,
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ProviderInfo,
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ProviderRegistry,
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ProviderType,
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)
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class _StubActorService:
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"""Stub actor service for testing."""
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def __init__(self) -> None:
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self.actors: dict[str, dict] = {}
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self.default_actor_name: str | None = None
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def upsert_actor(
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self,
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*,
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name: str,
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provider: str,
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model: str,
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config_blob: dict,
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graph_descriptor: dict | None,
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unsafe: bool,
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set_default: bool,
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is_built_in: bool,
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yaml_text: str | None = None,
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schema_version: str | None = None,
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compiled_metadata: dict | None = None,
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) -> None:
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"""Store actor data for verification."""
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self.actors[name] = {
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"name": name,
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"provider": provider,
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"model": model,
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"config_blob": config_blob,
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"graph_descriptor": graph_descriptor,
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"unsafe": unsafe,
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"is_built_in": is_built_in,
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"yaml_text": yaml_text,
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"schema_version": schema_version,
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}
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if set_default:
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self.default_actor_name = name
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def get_default_actor(self) -> str | None:
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"""Return default actor name."""
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return self.default_actor_name
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def set_default_actor(self, name: str) -> None:
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"""Set default actor."""
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self.default_actor_name = name
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class _StubProviderRegistry:
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"""Stub provider registry for testing."""
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def __init__(self, providers: list[ProviderInfo]) -> None:
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self._providers = providers
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def get_configured_providers(self) -> list[ProviderInfo]:
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"""Return configured providers."""
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return list(self._providers)
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class _StubSettings:
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"""Stub settings for testing."""
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def __init__(self, defaults: ProviderDefaults) -> None:
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self._defaults = defaults
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def resolve_provider_defaults(self) -> ProviderDefaults:
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"""Return provider defaults."""
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return self._defaults
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@pytest.fixture
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def stub_actor_service() -> _StubActorService:
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"""Create a stub actor service."""
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return _StubActorService()
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@pytest.fixture
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def stub_settings() -> _StubSettings:
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"""Create stub settings."""
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return _StubSettings(
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ProviderDefaults(
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provider=None, provider_source="test", model=None, model_source="test"
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)
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)
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class TestGenerateBuiltinActorYaml:
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"""Tests for _generate_builtin_actor_yaml method."""
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def test_generates_yaml_with_type_field(
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||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
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"""YAML should include type: llm field."""
|
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provider_registry = _StubProviderRegistry([])
|
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registry = ActorRegistry(
|
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actor_service=stub_actor_service,
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provider_registry=provider_registry,
|
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settings=stub_settings,
|
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)
|
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|
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yaml_text = registry._generate_builtin_actor_yaml(
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provider="openai",
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model="gpt-4",
|
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)
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assert yaml_text is not None
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assert "type: llm" in yaml_text
|
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def test_generates_yaml_with_description_field(
|
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self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""YAML should include description field."""
|
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provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
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)
|
||||
|
||||
yaml_text = registry._generate_builtin_actor_yaml(
|
||||
provider="openai",
|
||||
model="gpt-4",
|
||||
)
|
||||
|
||||
assert "description:" in yaml_text
|
||||
assert "Built-in actor from provider registry" in yaml_text
|
||||
|
||||
def test_generates_yaml_with_name_field(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""YAML should include properly formatted name field."""
|
||||
provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
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actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
yaml_text = registry._generate_builtin_actor_yaml(
|
||||
provider="openai",
|
||||
model="gpt-4",
|
||||
)
|
||||
|
||||
assert "name: openai/gpt-4" in yaml_text
|
||||
|
||||
def test_generates_yaml_with_provider_field(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""YAML should include provider field."""
|
||||
provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
yaml_text = registry._generate_builtin_actor_yaml(
|
||||
provider="anthropic",
|
||||
model="claude-3-opus",
|
||||
)
|
||||
|
||||
assert "provider: anthropic" in yaml_text
|
||||
|
||||
def test_generates_yaml_with_model_field(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""YAML should include model field."""
|
||||
provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
yaml_text = registry._generate_builtin_actor_yaml(
|
||||
provider="openai",
|
||||
model="gpt-4",
|
||||
)
|
||||
|
||||
assert "model: openai/gpt-4" in yaml_text
|
||||
|
||||
def test_generates_yaml_with_source_field(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""YAML should include source: provider-registry field."""
|
||||
provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
yaml_text = registry._generate_builtin_actor_yaml(
|
||||
provider="openai",
|
||||
model="gpt-4",
|
||||
)
|
||||
|
||||
assert "source: provider-registry" in yaml_text
|
||||
|
||||
def test_generated_yaml_is_valid_v3_format(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""Generated YAML should be recognized as v3 format."""
|
||||
provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
yaml_text = registry._generate_builtin_actor_yaml(
|
||||
provider="openai",
|
||||
model="gpt-4",
|
||||
)
|
||||
|
||||
config_blob = yaml.safe_load(yaml_text)
|
||||
assert is_v3_yaml(config_blob), (
|
||||
"Generated YAML should be recognized as v3 format"
|
||||
)
|
||||
|
||||
def test_generated_yaml_validates_against_schema(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""Generated YAML should validate against ActorConfigSchema."""
|
||||
provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
yaml_text = registry._generate_builtin_actor_yaml(
|
||||
provider="openai",
|
||||
model="gpt-4",
|
||||
)
|
||||
|
||||
config_blob = yaml.safe_load(yaml_text)
|
||||
schema = ActorConfigSchema.model_validate(config_blob)
|
||||
assert schema.type == ActorType.LLM
|
||||
assert schema.name == "openai/gpt-4"
|
||||
assert schema.provider == "openai"
|
||||
assert schema.model == "openai/gpt-4"
|
||||
|
||||
def test_generated_yaml_includes_capabilities(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""Generated YAML should include capabilities when provided."""
|
||||
provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
capabilities = ProviderCapabilities(supports_tools=True, supports_vision=False)
|
||||
yaml_text = registry._generate_builtin_actor_yaml(
|
||||
provider="openai",
|
||||
model="gpt-4",
|
||||
capabilities=capabilities,
|
||||
)
|
||||
|
||||
assert "capabilities:" in yaml_text
|
||||
assert "supports_tools: true" in yaml_text
|
||||
|
||||
def test_generated_yaml_sanitizes_slashes_in_name(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""Generated YAML name should sanitize slashes."""
|
||||
provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
yaml_text = registry._generate_builtin_actor_yaml(
|
||||
provider="openrouter",
|
||||
model="meta-llama/llama-3-70b-instruct",
|
||||
)
|
||||
|
||||
# Name should have slashes replaced with dashes
|
||||
assert "name: openrouter/meta-llama-llama-3-70b-instruct" in yaml_text
|
||||
|
||||
|
||||
class TestEnsureBuiltInActorsWithYaml:
|
||||
"""Tests for ensure_built_in_actors with yaml_text generation."""
|
||||
|
||||
def test_ensure_built_in_actors_includes_yaml_text(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""Built-in actors should have yaml_text populated."""
|
||||
provider_registry = _StubProviderRegistry(
|
||||
[
|
||||
ProviderInfo(
|
||||
provider_type=ProviderType.OPENAI,
|
||||
name="openai",
|
||||
api_key_env_var="ENV",
|
||||
default_model="gpt-4",
|
||||
capabilities=ProviderCapabilities(supports_tools=True),
|
||||
is_configured=True,
|
||||
)
|
||||
]
|
||||
)
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
registry.ensure_built_in_actors()
|
||||
|
||||
assert "openai/gpt-4" in stub_actor_service.actors
|
||||
actor_data = stub_actor_service.actors["openai/gpt-4"]
|
||||
assert actor_data["yaml_text"] is not None
|
||||
assert "type: llm" in actor_data["yaml_text"]
|
||||
|
||||
def test_ensure_built_in_actors_yaml_is_v3_format(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""Built-in actor yaml_text should be v3 format."""
|
||||
provider_registry = _StubProviderRegistry(
|
||||
[
|
||||
ProviderInfo(
|
||||
provider_type=ProviderType.ANTHROPIC,
|
||||
name="anthropic",
|
||||
api_key_env_var="ENV",
|
||||
default_model="claude-3-opus",
|
||||
capabilities=ProviderCapabilities(),
|
||||
is_configured=True,
|
||||
)
|
||||
]
|
||||
)
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
registry.ensure_built_in_actors()
|
||||
|
||||
actor_data = stub_actor_service.actors["anthropic/claude-3-opus"]
|
||||
assert actor_data["yaml_text"] is not None
|
||||
config_blob = yaml.safe_load(actor_data["yaml_text"])
|
||||
assert is_v3_yaml(config_blob)
|
||||
|
||||
def test_ensure_built_in_actors_multiple_providers(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""Multiple providers should each get yaml_text."""
|
||||
provider_registry = _StubProviderRegistry(
|
||||
[
|
||||
ProviderInfo(
|
||||
provider_type=ProviderType.OPENAI,
|
||||
name="openai",
|
||||
api_key_env_var="ENV",
|
||||
default_model="gpt-4",
|
||||
capabilities=ProviderCapabilities(supports_tools=True),
|
||||
is_configured=True,
|
||||
),
|
||||
ProviderInfo(
|
||||
provider_type=ProviderType.ANTHROPIC,
|
||||
name="anthropic",
|
||||
api_key_env_var="ENV",
|
||||
default_model="claude-3-opus",
|
||||
capabilities=ProviderCapabilities(),
|
||||
is_configured=True,
|
||||
),
|
||||
]
|
||||
)
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
registry.ensure_built_in_actors()
|
||||
|
||||
assert len(stub_actor_service.actors) == 2
|
||||
for actor_data in stub_actor_service.actors.values():
|
||||
assert actor_data["yaml_text"] is not None
|
||||
assert "type: llm" in actor_data["yaml_text"]
|
||||
|
||||
def test_ensure_built_in_actors_empty_when_no_providers(
|
||||
self, stub_actor_service: _StubActorService, stub_settings: _StubSettings
|
||||
) -> None:
|
||||
"""No providers should result in no actors."""
|
||||
provider_registry = _StubProviderRegistry([])
|
||||
registry = ActorRegistry(
|
||||
actor_service=stub_actor_service,
|
||||
provider_registry=provider_registry,
|
||||
settings=stub_settings,
|
||||
)
|
||||
|
||||
actors = registry.ensure_built_in_actors()
|
||||
|
||||
assert actors == []
|
||||
assert len(stub_actor_service.actors) == 0
|
||||
Reference in New Issue
Block a user