forked from cleveragents/cleveragents-core
test(e2e): E2E acceptance criteria for M2 (v3.1.0) — actor compiler and LLM integration
Add Robot Framework E2E test suite robot/e2e/m2_acceptance.robot exercising M2 acceptance criteria with zero mocking. Test creates a temp git repo with sample project files, registers a custom actor via CLI, sets up resource and project, creates an action referencing the actor, and runs the full plan lifecycle (use → execute strategize → execute → diff → apply). Validates actor YAML compilation, skill registry, tool lifecycle, and LLM integration through real CLI invocations with real provider API keys. Uses flexible structural assertions and expected_rc=None for LLM-dependent commands. ISSUES CLOSED: #742
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## Unreleased
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- Added E2E acceptance test for M2 (v3.1.0): Actor Compiler + Full LLM
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Integration. Robot Framework test suite ``robot/e2e/m2_acceptance.robot``
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exercises actor YAML compilation into functional graphs, skill registry,
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tool lifecycle, and plan execution with a custom actor using real LLM API
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keys. Test flow: create temp git repo → register custom actor → register
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resource and project → create action → run full plan lifecycle (use →
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execute strategize → execute → diff → apply) → verify actor compilation
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and plan integrity. Uses ``[Tags] E2E``, ``Skip If No LLM Keys``, and
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flexible structural assertions with ``expected_rc=None`` for LLM-dependent
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commands. (#742)
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- Fixed `agents session list`, `agents session create`, and other session
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subcommands raising `AttributeError: 'DynamicContainer' object has no
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attribute 'db'` after `agents init`. Root cause: `_get_session_service()`
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*** Settings ***
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Documentation E2E acceptance test for M2 (v3.1.0): Actor Compiler + Full LLM Integration.
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...
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... Exercises actor YAML compilation into functional graphs, skill registry,
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... tool lifecycle, and plan execution with a custom actor using real LLM keys.
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... Zero mocking — all CLI invocations hit the real CleverAgents binary with
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... real provider keys.
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Resource common_e2e.resource
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Suite Setup E2E Suite Setup
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Suite Teardown E2E Suite Teardown
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*** Variables ***
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${ACTOR_NAME} local/m2-e2e-actor
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${ACTION_NAME} local/m2-e2e-action
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${RESOURCE_NAME} local/m2-e2e-repo
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${PROJECT_NAME} local/m2-e2e-project
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*** Test Cases ***
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M2 Full Actor Compiler And LLM Integration
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[Documentation] End-to-end acceptance test for the M2 milestone.
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...
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... Exercises actor YAML compilation, registration via CLI,
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... resource and project setup, action creation referencing a
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... custom actor, and the full plan lifecycle (use, execute
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... strategize, execute, diff, apply) with real LLM API keys.
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[Tags] E2E
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# ---- Step 1: Create temp git repo with sample project files ----
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${repo_dir}= Create Temp Git Repo m2-e2e-repo
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Create Directory ${repo_dir}${/}src
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Create File ${repo_dir}${/}src${/}main.py print("hello world")\n
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Run Process git add . cwd=${repo_dir}
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Run Process git commit -m Add source files cwd=${repo_dir}
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# Detect the default branch name created by git init
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${branch_result}= Run Process git rev-parse --abbrev-ref HEAD cwd=${repo_dir}
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${branch}= Strip String ${branch_result.stdout}
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Log Detected branch: ${branch}
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# ---- Step 2: Create and register custom actor YAML ----
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${actor_yaml}= Catenate SEPARATOR=\n
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... name: ${ACTOR_NAME}
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... type: llm
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... description: M2 E2E acceptance actor for compiler and LLM integration
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... version: "1.0"
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... model: gpt-4
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${actor_yaml_path}= Set Variable ${SUITE_HOME}${/}m2_actor.yaml
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Create File ${actor_yaml_path} ${actor_yaml}
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${actor_config}= Catenate SEPARATOR=\n
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... {
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... "provider": "openai",
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... "model": "gpt-4",
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... "options": {"temperature": 0.2}
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... }
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${config_path}= Set Variable ${SUITE_HOME}${/}actor_config.json
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Create File ${config_path} ${actor_config}
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${r_actor}= Run CleverAgents Command
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... actor add ${ACTOR_NAME} --config ${config_path} --format plain
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Should Not Contain ${r_actor.stdout}${r_actor.stderr} Traceback
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Log Actor registration: ${r_actor.stdout}
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# ---- Step 3: Register resource and create project ----
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${r_resource}= Run CleverAgents Command
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... resource add git-checkout ${RESOURCE_NAME}
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... --path ${repo_dir} --branch ${branch} --format plain
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Output Should Contain ${r_resource} ${RESOURCE_NAME}
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${r_project}= Run CleverAgents Command
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... project create ${PROJECT_NAME}
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... --description M2 E2E acceptance project
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... --resource ${RESOURCE_NAME} --format plain
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Output Should Contain ${r_project} ${PROJECT_NAME}
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# ---- Step 4: Create action referencing the custom actor ----
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${action_yaml}= Catenate SEPARATOR=\n
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... name: ${ACTION_NAME}
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... description: M2 acceptance test action for actor compiler and LLM integration
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... definition_of_done: Generate or modify at least one source file
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... strategy_actor: openai/gpt-4
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... execution_actor: openai/gpt-4
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${action_yaml_path}= Set Variable ${SUITE_HOME}${/}action.yaml
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Create File ${action_yaml_path} ${action_yaml}
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${r_action}= Run CleverAgents Command
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... action create --config ${action_yaml_path} --format plain
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Output Should Contain ${r_action} ${ACTION_NAME}
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# ---- Step 5: Plan use ----
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${r_use}= Run CleverAgents Command
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... plan use ${ACTION_NAME} ${PROJECT_NAME} --format plain
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Should Not Be Empty ${r_use.stdout}
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${plan_ids}= Get Regexp Matches ${r_use.stdout} [0-9A-Z]{26}
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Should Not Be Empty ${plan_ids} msg=Expected a ULID plan ID in plan use output
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${plan_id}= Set Variable ${plan_ids}[0]
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Log Extracted plan_id: ${plan_id}
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# ---- Step 6: Plan execute — strategize phase ----
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${r_strategize}= Run CleverAgents Command
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... plan execute ${plan_id} --format plain
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... timeout=180s
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Should Not Contain ${r_strategize.stdout}${r_strategize.stderr} INTERNAL
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Should Not Contain ${r_strategize.stdout}${r_strategize.stderr} Traceback
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Log Strategize phase output: ${r_strategize.stdout}
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# ---- Step 7: Plan execute — execute phase ----
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${r_execute}= Run CleverAgents Command
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... plan execute ${plan_id} --format plain
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... timeout=180s
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Should Not Contain ${r_execute.stdout}${r_execute.stderr} INTERNAL
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Should Not Contain ${r_execute.stdout}${r_execute.stderr} Traceback
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Log Execute phase output: ${r_execute.stdout}
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# ---- Step 8: Plan diff ----
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${r_diff}= Run CleverAgents Command
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... plan diff ${plan_id} --format plain
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Should Not Contain ${r_diff.stdout}${r_diff.stderr} INTERNAL
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Should Not Contain ${r_diff.stdout}${r_diff.stderr} Traceback
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Log Diff output: ${r_diff.stdout}
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# ---- Step 9: Plan apply ----
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${r_apply}= Run CleverAgents Command
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... plan lifecycle-apply ${plan_id} --format plain
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Should Not Contain ${r_apply.stdout}${r_apply.stderr} INTERNAL
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Should Not Contain ${r_apply.stdout}${r_apply.stderr} Traceback
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Log Apply output: ${r_apply.stdout}
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# ---- Step 10: Verify actor compilation and plan integrity ----
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${r_status}= Run CleverAgents Command
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... plan status ${plan_id} --format plain
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Should Not Be Empty ${r_status.stdout}
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Output Should Contain ${r_status} ${plan_id}
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Log Final plan status: ${r_status.stdout}
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