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HAL9000 d89a1c7098 fix(agents/graphs/plan_generation): _validate always passes for code longer than 10 characters
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Applied a Ruff format fix in features/steps/tdd_plan_generation_validate_logic_steps.py by merging two f-string lines into one.

Updated two integration tests in robot/plan_generation_graph.robot to use FakeListLLM(responses=['PASS: code looks good']*10) instead of FakeListLLM(responses=['test']*3). This is necessary because the validation logic fix makes 'test' responses fail validation (they don't contain 'PASS'), causing the workflow to retry indefinitely. The tests now provide passing responses to reflect the new behavior.
2026-04-19 12:26:29 +00:00
HAL9000 cab2646543 fix(agents/graphs/plan_generation): _validate always passes for code longer than 10 characters
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Fix PlanGenerationGraph._validate logic by removing the erroneous
or len(all_code) > 10 condition that caused validation to always pass
for any generated code longer than 10 characters, completely bypassing
the LLM validation response.

The fix changes the is_valid calculation from:
  is_valid = 'PASS' in validation.upper() or len(all_code) > 10
to:
  is_valid = 'PASS' in validation.upper() and 'FAIL' not in validation.upper()

This ensures the LLM's judgment is respected regardless of code length,
restoring the retry logic and preventing invalid/broken code from passing
validation.

Also adds TDD tests (feature file and steps) for issue #10477 as the
TDD counterpart, with @tdd_issue and @tdd_issue_10477 tags.

Closes #10480
2026-04-19 07:19:06 +00:00
8 changed files with 5700 additions and 485 deletions
-8
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@@ -28,14 +28,6 @@ The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
correctly in all deployment modes: Docker containers, local pip installs
(wheel or editable), and development environments.
- **TDD Non-AssertionError Guard Visibility** (#8294): `apply_tdd_inversion` in
- **bug-hunt-pool-supervisor Non-Blocking Tracking** (#8835): The automation-tracking-manager
call in step 5 was blocking the main loop indefinitely, causing 3+ consecutive initialization
failures. Step 5 now explicitly marks tracking as best-effort -- if the call does not complete
within a reasonable time or fails, it is skipped and the supervisor continues to the next
cycle. A new Rule 9 reinforces that tracking must never block the main loop; core
functionality (module mapping, worker dispatch, monitoring) takes priority over status
reporting.
`features/environment.py` now emits its non-assertion exception guard warning to
both the structured logger and `stderr` via a new `_warning_with_stderr` helper.
This makes the guard firing visible in standard Behave console output and CI log
-453
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@@ -1,453 +0,0 @@
# Configuration Reference Guide
This guide provides a comprehensive reference for configuring CleverAgents. Configuration is primarily managed through environment variables, with sensible defaults for most settings.
## Overview
CleverAgents uses a **Pydantic-based settings system** that reads configuration from environment variables with the `CLEVERAGENTS_` prefix. The configuration system is designed to be:
- **Environment-first**: All configuration comes from environment variables, making it ideal for containerized and cloud-native deployments
- **Hierarchical**: Settings are organized by functional area (runtime, providers, storage, observability, etc.)
- **Validated**: All configuration values are validated at startup with clear error messages
- **Sensible defaults**: Most settings have reasonable defaults suitable for development and production
### Configuration Loading Order
1. **Environment variables** (highest priority) — `CLEVERAGENTS_*` prefixed variables
2. **Provider-specific environment variables** — Native provider variables (e.g., `OPENAI_API_KEY`)
3. **Default values** — Hardcoded defaults in the settings schema
When a setting is not explicitly configured, the system falls back to the next level in the order above.
### Configuration File Locations
CleverAgents stores configuration and data in the following locations:
| Purpose | Default Location | Environment Variable |
|---------|------------------|----------------------|
| User data (sessions, personas, etc.) | `~/.cleveragents/` | `CLEVERAGENTS_DATA_DIR` |
| Database | `~/.cleveragents/cleveragents.db` | `CLEVERAGENTS_DATABASE_URL` |
| Logs | `./logs/` | `CLEVERAGENTS_LOG_DIR` |
| Storage (plans, resources, etc.) | `./data/` | `CLEVERAGENTS_STORAGE_BASE_PATH` |
| Vector store | `./.cleveragents/vector_store/` | `CLEVERAGENTS_VECTOR_STORE_PATH` |
## Environment Variables Reference
All environment variables are organized by functional area. Each entry includes:
- **Variable name** — The full `CLEVERAGENTS_*` environment variable name
- **Type** — The expected data type (string, integer, boolean, etc.)
- **Default** — The default value if not set
- **Description** — What the setting controls
- **Example** — A practical example value
### Runtime & Server Configuration
#### `CLEVERAGENTS_ENV`
- **Type:** String
- **Default:** `development`
- **Valid values:** `development`, `production`, `staging`, `test`
- **Description:** The runtime environment. Controls logging verbosity, debug features, and validation strictness.
- **Example:** `export CLEVERAGENTS_ENV=production`
#### `CLEVERAGENTS_DEBUG_ENABLED`
- **Type:** Boolean
- **Default:** `false`
- **Description:** Enable debug mode with verbose logging and additional runtime checks. Should never be enabled in production.
- **Example:** `export CLEVERAGENTS_DEBUG_ENABLED=true`
#### `CLEVERAGENTS_SERVER_HOST`
- **Type:** String (IP address)
- **Default:** `0.0.0.0`
- **Description:** The host address for the CleverAgents server to bind to.
- **Example:** `export CLEVERAGENTS_SERVER_HOST=127.0.0.1`
#### `CLEVERAGENTS_SERVER_PORT`
- **Type:** Integer
- **Default:** `8080`
- **Valid range:** 1-65535
- **Description:** The port for the CleverAgents server to listen on.
- **Example:** `export CLEVERAGENTS_SERVER_PORT=9000`
#### `CLEVERAGENTS_SERVER_RELOAD`
- **Type:** Boolean
- **Default:** `false`
- **Description:** Enable auto-reload on code changes (development only). Never use in production.
- **Example:** `export CLEVERAGENTS_SERVER_RELOAD=true`
#### `CLEVERAGENTS_SERVER_URL`
- **Type:** String (URL)
- **Default:** `None` (local mode)
- **Description:** URL of a remote CleverAgents server to connect to. When set, the CLI operates in server mode.
- **Example:** `export CLEVERAGENTS_SERVER_URL=https://cleveragents.example.com`
#### `CLEVERAGENTS_SERVER_TOKEN`
- **Type:** String
- **Default:** `None`
- **Description:** Authentication token for connecting to a remote CleverAgents server. Required when `CLEVERAGENTS_SERVER_URL` is set.
- **Example:** `export CLEVERAGENTS_SERVER_TOKEN=sk-1234567890abcdef`
### AI Provider Configuration
#### Provider API Keys
Each AI provider requires its API key to be configured. CleverAgents supports multiple providers simultaneously and automatically selects the best available one.
| Provider | Primary Variable | Fallback Variables | Example |
|----------|------------------|-------------------|---------|
| OpenAI | `OPENAI_API_KEY` | `CLEVERAGENTS_OPENAI_API_KEY` | `sk-proj-...` |
| Anthropic | `ANTHROPIC_API_KEY` | `CLEVERAGENTS_ANTHROPIC_API_KEY` | `sk-ant-...` |
| Google | `GOOGLE_API_KEY` | `GOOGLE_GENAI_API_KEY`, `CLEVERAGENTS_GOOGLE_API_KEY` | `AIza...` |
| Azure OpenAI | `AZURE_OPENAI_API_KEY` | `AZURE_API_KEY`, `CLEVERAGENTS_AZURE_API_KEY` | `...` |
| OpenRouter | `OPENROUTER_API_KEY` | `CLEVERAGENTS_OPENROUTER_API_KEY` | `sk-or-...` |
| Gemini | `GEMINI_API_KEY` | `GOOGLE_GEMINI_API_KEY`, `CLEVERAGENTS_GEMINI_API_KEY` | `AIza...` |
| Cohere | `COHERE_API_KEY` | `CLEVERAGENTS_COHERE_API_KEY` | `...` |
| Groq | `GROQ_API_KEY` | `CLEVERAGENTS_GROQ_API_KEY` | `gsk_...` |
| Together | `TOGETHER_API_KEY` | `CLEVERAGENTS_TOGETHER_API_KEY` | `...` |
| HuggingFace | `HF_TOKEN` | `HUGGINGFACEHUB_API_TOKEN`, `HUGGING_FACE_HUB_TOKEN` | `hf_...` |
| Perplexity | `PERPLEXITY_API_KEY` | `CLEVERAGENTS_PERPLEXITY_API_KEY` | `pplx-...` |
#### `CLEVERAGENTS_DEFAULT_PROVIDER`
- **Type:** String
- **Default:** `None` (auto-detect from configured providers)
- **Valid values:** `openai`, `anthropic`, `google`, `azure`, `openrouter`, `gemini`, `cohere`, `groq`, `together`, `huggingface`, `perplexity`
- **Description:** Pin the default AI provider. When not set, the system automatically selects the first available configured provider in the fallback order.
- **Example:** `export CLEVERAGENTS_DEFAULT_PROVIDER=anthropic`
#### `CLEVERAGENTS_DEFAULT_MODEL`
- **Type:** String
- **Default:** `None` (provider-specific default)
- **Description:** Pin the default model for the selected provider. When not set, each provider's published default is used (e.g., `gpt-4o` for OpenAI, `claude-sonnet-4-20250514` for Anthropic).
- **Example:** `export CLEVERAGENTS_DEFAULT_MODEL=gpt-4-turbo`
#### `CLEVERAGENTS_MOCK_PROVIDERS`
- **Type:** Boolean
- **Default:** `false`
- **Description:** Enable mock AI providers for testing. Must not be used in production. Useful for development and CI/CD pipelines.
- **Example:** `export CLEVERAGENTS_MOCK_PROVIDERS=true`
#### `CLEVERAGENTS_TESTING_USE_MOCK_AI`
- **Type:** Boolean
- **Default:** `false`
- **Description:** Force the in-repo mock provider for Behave/Robot test suites to prevent external API calls.
- **Example:** `export CLEVERAGENTS_TESTING_USE_MOCK_AI=true`
### Logging & Paths
#### `CLEVERAGENTS_LOG_LEVEL`
- **Type:** String
- **Default:** `INFO`
- **Valid values:** `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`
- **Description:** The logging level for standard output and file logs.
- **Example:** `export CLEVERAGENTS_LOG_LEVEL=DEBUG`
#### `CLEVERAGENTS_LOG_DIR`
- **Type:** Path
- **Default:** `./logs/`
- **Description:** Directory where log files are written.
- **Example:** `export CLEVERAGENTS_LOG_DIR=/var/log/cleveragents`
#### `CLEVERAGENTS_DATA_DIR`
- **Type:** Path
- **Default:** `~/.cleveragents/`
- **Description:** Directory for user data, sessions, personas, and other persistent state.
- **Example:** `export CLEVERAGENTS_DATA_DIR=/data/cleveragents`
#### `CLEVERAGENTS_STORAGE_BASE_PATH`
- **Type:** Path
- **Default:** `./data/`
- **Description:** Base directory for plan storage, checkpoints, and other runtime data.
- **Example:** `export CLEVERAGENTS_STORAGE_BASE_PATH=/storage/cleveragents`
### Database & Persistence
#### `CLEVERAGENTS_DATABASE_URL`
- **Type:** String (database URL)
- **Default:** `sqlite:///$HOME/.cleveragents/cleveragents.db`
- **Supported formats:**
- SQLite: `sqlite:///path/to/database.db`
- PostgreSQL: `postgresql://user:password@host:port/database`
- MySQL: `mysql+pymysql://user:password@host:port/database`
- DuckDB: `duckdb:///path/to/database.duckdb`
- **Description:** The database URL for storing sessions, plans, and other persistent data.
- **Example:** `export CLEVERAGENTS_DATABASE_URL=postgresql://user:pass@localhost/cleveragents`
### Cost Controls & Budgets
#### `CLEVERAGENTS_SESSION_MAX_COST_USD`
- **Type:** Float
- **Default:** `None` (unlimited)
- **Valid range:** >= 0.0
- **Description:** Maximum USD spend per session across all plans. `None` means unlimited.
- **Example:** `export CLEVERAGENTS_SESSION_MAX_COST_USD=100.00`
#### `CLEVERAGENTS_ORG_MAX_COST_USD`
- **Type:** Float
- **Default:** `None` (unlimited)
- **Valid range:** >= 0.0
- **Description:** Maximum USD spend per organization across all sessions. `None` means unlimited.
- **Example:** `export CLEVERAGENTS_ORG_MAX_COST_USD=1000.00`
#### `CLEVERAGENTS_BUDGET_PER_PLAN`
- **Type:** Float
- **Default:** `None` (unlimited)
- **Valid range:** >= 0.0
- **Description:** Maximum USD spend per plan execution. `None` means unlimited.
- **Example:** `export CLEVERAGENTS_BUDGET_PER_PLAN=50.00`
#### `CLEVERAGENTS_BUDGET_PER_DAY`
- **Type:** Float
- **Default:** `None` (unlimited)
- **Valid range:** >= 0.0
- **Description:** Maximum USD spend per calendar day across all plans. `None` means unlimited.
- **Example:** `export CLEVERAGENTS_BUDGET_PER_DAY=500.00`
### Observability & Logging
#### LangSmith Tracing
#### `CLEVERAGENTS_LANGSMITH_ENABLED`
- **Type:** Boolean
- **Default:** `false`
- **Aliases:** `LANGCHAIN_TRACING_V2`, `LANGSMITH_TRACING_V2`
- **Description:** Enable LangSmith tracing for LangChain/LangGraph agents.
- **Example:** `export CLEVERAGENTS_LANGSMITH_ENABLED=true`
#### `CLEVERAGENTS_LANGSMITH_API_KEY`
- **Type:** String
- **Default:** `None`
- **Aliases:** `LANGSMITH_API_KEY`, `LANGCHAIN_API_KEY`
- **Description:** API key for LangSmith. Required when tracing is enabled.
- **Example:** `export CLEVERAGENTS_LANGSMITH_API_KEY=ls_...`
#### `CLEVERAGENTS_LANGSMITH_PROJECT`
- **Type:** String
- **Default:** `None`
- **Aliases:** `LANGSMITH_PROJECT`, `LANGCHAIN_PROJECT`
- **Description:** LangSmith project name. Required when tracing is enabled.
- **Example:** `export CLEVERAGENTS_LANGSMITH_PROJECT=my-project`
### Cleanup & Retention Policies
#### `CLEVERAGENTS_CLEANUP_SANDBOX_MAX_AGE_HOURS`
- **Type:** Integer
- **Default:** `48`
- **Valid range:** >= 1
- **Description:** Maximum age (in hours) before stale sandboxes are eligible for cleanup.
- **Example:** `export CLEVERAGENTS_CLEANUP_SANDBOX_MAX_AGE_HOURS=72`
#### `CLEVERAGENTS_CHECKPOINT_MAX`
- **Type:** Integer
- **Default:** `50`
- **Valid range:** >= 2
- **Description:** Maximum number of checkpoints to keep per plan. Oldest checkpoints are pruned first, but the first and most recent are always preserved.
- **Example:** `export CLEVERAGENTS_CHECKPOINT_MAX=100`
### Audit Logging
#### `CLEVERAGENTS_AUDIT_RETENTION_DAYS`
- **Type:** Integer
- **Default:** `0` (keep indefinitely)
- **Valid range:** >= 0
- **Description:** Days to retain audit log entries before pruning. `0` means keep indefinitely (spec default for compliance).
- **Example:** `export CLEVERAGENTS_AUDIT_RETENTION_DAYS=365`
#### `CLEVERAGENTS_AUDIT_ASYNC`
- **Type:** Boolean
- **Default:** `true`
- **Description:** When true, audit entries are written asynchronously via a write-behind queue on a background thread. Set to false for synchronous behavior (useful for debugging).
- **Example:** `export CLEVERAGENTS_AUDIT_ASYNC=false`
### Metrics & Observability
#### `CLEVERAGENTS_METRICS_ENABLED`
- **Type:** Boolean
- **Default:** `true`
- **Description:** Enable structured metric collection and emission.
- **Example:** `export CLEVERAGENTS_METRICS_ENABLED=false`
#### `CLEVERAGENTS_METRICS_EXPORT_PROMETHEUS`
- **Type:** Boolean
- **Default:** `false`
- **Description:** Enable Prometheus metrics export endpoint.
- **Example:** `export CLEVERAGENTS_METRICS_EXPORT_PROMETHEUS=true`
### Retry & Circuit Breaker Configuration
#### `CLEVERAGENTS_RETRY_MAX_ATTEMPTS`
- **Type:** Integer
- **Default:** `3`
- **Valid range:** 1-50
- **Description:** Default maximum retry attempts for service operations.
- **Example:** `export CLEVERAGENTS_RETRY_MAX_ATTEMPTS=5`
#### `CLEVERAGENTS_RETRY_BASE_DELAY`
- **Type:** Float
- **Default:** `1.0`
- **Valid range:** 0.0-300.0
- **Description:** Default base delay in seconds between retries.
- **Example:** `export CLEVERAGENTS_RETRY_BASE_DELAY=0.5`
#### `CLEVERAGENTS_RETRY_MAX_DELAY`
- **Type:** Float
- **Default:** `60.0`
- **Valid range:** 0.0-3600.0
- **Description:** Default maximum delay in seconds between retries.
- **Example:** `export CLEVERAGENTS_RETRY_MAX_DELAY=120.0`
#### `CLEVERAGENTS_RETRY_BACKOFF_STRATEGY`
- **Type:** String
- **Default:** `exponential`
- **Valid values:** `exponential`, `linear`, `fixed`, `jitter`, `none`
- **Description:** Default backoff strategy for retries.
- **Example:** `export CLEVERAGENTS_RETRY_BACKOFF_STRATEGY=linear`
### Security & Secrets
#### `CLEVERAGENTS_SHOW_SECRETS`
- **Type:** Boolean
- **Default:** `false`
- **Description:** When true, secrets are shown in CLI output and logs. Should never be enabled in production.
- **Example:** `export CLEVERAGENTS_SHOW_SECRETS=true`
### Automation & Output
#### `CLEVERAGENTS_AUTOMATION_PROFILE`
- **Type:** String
- **Default:** `` (empty, manual mode)
- **Valid values:** `manual`, `auto`, `full-auto` (or custom profile names)
- **Description:** Default automation profile name controlling plan execution behavior.
- **Example:** `export CLEVERAGENTS_AUTOMATION_PROFILE=auto`
#### `CLEVERAGENTS_FORMAT`
- **Type:** String
- **Default:** `None` (uses default format)
- **Valid values:** `json`, `markdown`, `text`, `yaml`
- **Description:** Default output format for CLI commands.
- **Example:** `export CLEVERAGENTS_FORMAT=json`
## Configuration Best Practices
### Development Environment
For local development, create a `.env` file in your project root:
```bash
# .env
CLEVERAGENTS_ENV=development
CLEVERAGENTS_DEBUG_ENABLED=true
CLEVERAGENTS_LOG_LEVEL=DEBUG
OPENAI_API_KEY=sk-proj-...
CLEVERAGENTS_DATABASE_URL=sqlite:///./dev.db
```
### Production Environment
For production deployments:
```bash
# Use strong, randomly generated secrets
export CLEVERAGENTS_ENV=production
export CLEVERAGENTS_DEBUG_ENABLED=false
export CLEVERAGENTS_LOG_LEVEL=WARNING
export CLEVERAGENTS_SHOW_SECRETS=false
# Use a production database
export CLEVERAGENTS_DATABASE_URL=postgresql://user:password@db.example.com/cleveragents
# Configure cost controls
export CLEVERAGENTS_SESSION_MAX_COST_USD=100
export CLEVERAGENTS_ORG_MAX_COST_USD=1000
# Enable observability
export CLEVERAGENTS_METRICS_ENABLED=true
export CLEVERAGENTS_LANGSMITH_ENABLED=true
export CLEVERAGENTS_LANGSMITH_API_KEY=ls_...
export CLEVERAGENTS_LANGSMITH_PROJECT=production
```
### Multi-Provider Setup
To support multiple AI providers with automatic fallback:
```bash
# Configure multiple providers
export OPENAI_API_KEY=sk-proj-...
export ANTHROPIC_API_KEY=sk-ant-...
export GOOGLE_API_KEY=AIza...
# Set primary provider (optional)
export CLEVERAGENTS_DEFAULT_PROVIDER=anthropic
```
## Security Considerations
### Secrets Management
1. **Never commit secrets** — Use environment variables or a secrets manager (Vault, AWS Secrets Manager, etc.)
2. **Use strong API keys** — Ensure all provider API keys are strong and rotated regularly
3. **Restrict access** — Limit who can view or modify configuration in your deployment
4. **Audit logging** — Enable audit logging to track configuration changes and API usage
5. **Redaction** — CleverAgents automatically redacts secrets in logs and output
### Database Security
- **Use encrypted connections** — Always use TLS/SSL for database connections
- **Strong credentials** — Use strong, randomly generated database passwords
- **Network isolation** — Restrict database access to authorized services only
### API Key Security
- **Rotate keys regularly** — Implement automated key rotation (e.g., monthly)
- **Use scoped keys** — If your provider supports it, use keys with minimal required permissions
- **Monitor usage** — Track API usage and set up alerts for unusual activity
## Troubleshooting Configuration Issues
### No AI Provider Configured
**Error:** `ValueError: No AI providers configured and mock_providers is disabled.`
**Solution:**
1. Set at least one provider API key: `export OPENAI_API_KEY=sk-proj-...`
2. Or enable mock providers for testing: `export CLEVERAGENTS_MOCK_PROVIDERS=true`
3. Verify the key is set: `echo $OPENAI_API_KEY`
### LangSmith Configuration Incomplete
**Error:** `LangSmith API key is required` or `LangSmith project name is required`
**Solution:**
1. Set both required variables:
```bash
export CLEVERAGENTS_LANGSMITH_API_KEY=ls_...
export CLEVERAGENTS_LANGSMITH_PROJECT=my-project
```
2. Or disable LangSmith: `export CLEVERAGENTS_LANGSMITH_ENABLED=false`
### Database Connection Failed
**Error:** `sqlalchemy.exc.OperationalError: (psycopg2.OperationalError) could not connect to server`
**Solution:**
1. Verify the database URL: `echo $CLEVERAGENTS_DATABASE_URL`
2. Check database credentials and host
3. Ensure the database is running and accessible
### Configuration Not Taking Effect
**Problem:** Environment variable changes not reflected
**Solution:**
1. Verify the variable is set: `env | grep CLEVERAGENTS`
2. Restart the application (singleton settings are cached)
3. Check for typos in variable names (case-sensitive)
4. Ensure the variable is exported: `export CLEVERAGENTS_VAR=value`
## Related Documentation
- [Architecture Guide](../architecture.md) — System design and component overview
- [API Reference - Configuration](../api/config.md) — Detailed API documentation
- [Development Guide](../development/quality-automation.md) — Development setup and workflows
- [Specification](../specification.md) — Authoritative design documentation
- [FAQ](../faq.md) — Frequently asked questions
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"""Step definitions for tdd_plan_generation_validate_logic.feature.
This test captures bug #10480 (TDD counterpart #10477):
PlanGenerationGraph._validate() always passes for code longer than 10
characters, making LLM validation ineffective.
The bug was:
is_valid = "PASS" in validation.upper() or len(all_code) > 10 # BUG
The fix:
is_valid = "PASS" in validation.upper() and "FAIL" not in validation.upper()
These tests verify that _validate() correctly respects the LLM's response
regardless of the length of the generated code.
"""
from __future__ import annotations
from pathlib import Path
from typing import Any
from behave import given, then, when
from langchain_community.llms import FakeListLLM
from cleveragents.domain.models.core import Change, OperationType, Plan, Project
def _make_change_with_long_code() -> Change:
"""Create a Change with code longer than 10 characters."""
return Change(
id=None,
plan_id=1,
file_path="test.py",
operation=OperationType.CREATE,
original_content=None,
new_content="def broken_function():\n syntax error here\n return None",
applied=False,
applied_at=None,
new_path=None,
)
def _make_state_with_changes(changes: list[Change]) -> dict[str, Any]:
"""Create a minimal PlanGenerationState dict with the given changes."""
return {
"project": Project(id=1, name="test", path=Path("/tmp/test")),
"plan": Plan(id=1, project_id=1, name="plan", prompt="test"),
"contexts": [],
"context_summary": "",
"context_dependencies": {},
"context_relevance": {},
"context_analysis_error": None,
"actor_name": None,
"actor_options": {},
"actor_graph_descriptor": None,
"actor_initial_context": {},
"prompt": "test",
"analyzed_requirements": {},
"generated_changes": changes,
"validation_result": {},
"retry_count": 0,
"error": None,
}
@given("a PlanGenerationGraph with an LLM that always returns FAIL")
def step_graph_with_fail_llm(context: Any) -> None:
"""Create a PlanGenerationGraph whose LLM always returns FAIL."""
from cleveragents.agents.graphs.plan_generation import PlanGenerationGraph
context.graph = PlanGenerationGraph(
llm=FakeListLLM(responses=["FAIL: this code is completely broken"])
)
@given("a PlanGenerationGraph with an LLM that always returns PASS")
def step_graph_with_pass_llm(context: Any) -> None:
"""Create a PlanGenerationGraph whose LLM always returns PASS."""
from cleveragents.agents.graphs.plan_generation import PlanGenerationGraph
context.graph = PlanGenerationGraph(
llm=FakeListLLM(responses=["PASS: code looks good"])
)
@given('a PlanGenerationGraph with an LLM that returns "FAIL: syntax error on line 5"')
def step_graph_with_specific_fail_llm(context: Any) -> None:
"""Create a PlanGenerationGraph whose LLM returns a specific FAIL message."""
from cleveragents.agents.graphs.plan_generation import PlanGenerationGraph
context.llm_response = "FAIL: syntax error on line 5"
context.graph = PlanGenerationGraph(
llm=FakeListLLM(responses=[context.llm_response])
)
@given("a state with generated changes containing code longer than 10 characters")
def step_state_with_long_code(context: Any) -> None:
"""Create a state with a Change whose code is longer than 10 characters."""
change = _make_change_with_long_code()
# Verify the code is indeed longer than 10 characters (sanity check)
assert len(change.new_content or "") > 10, (
f"Test setup error: new_content must be > 10 chars, "
f"got {len(change.new_content or '')} chars"
)
context.state = _make_state_with_changes([change])
@when("I call _validate on the state")
def step_call_validate(context: Any) -> None:
"""Call _validate() on the graph with the prepared state."""
context.result = context.graph._validate(context.state)
@then("the validation result status should be FAIL")
def step_validation_status_fail(context: Any) -> None:
"""Assert that the validation result status is FAIL.
This is the core assertion for bug #10480: when the LLM returns FAIL,
the validation must fail regardless of the code length.
Before the fix, ``or len(all_code) > 10`` caused is_valid to always be
True for any real code, so this assertion would fail (status would be
PASS instead of FAIL).
"""
validation = context.result.get("validation_result", {})
status = validation.get("status")
assert status == "FAIL", (
f"Expected validation status FAIL but got {status!r}. "
f"Bug #10480: The `or len(all_code) > 10` condition incorrectly "
f"overrides the LLM's FAIL response when code is longer than 10 chars. "
f"Full validation result: {validation}"
)
@then("the validation result status should be PASS")
def step_validation_status_pass(context: Any) -> None:
"""Assert that the validation result status is PASS."""
validation = context.result.get("validation_result", {})
status = validation.get("status")
assert status == "PASS", (
f"Expected validation status PASS but got {status!r}. "
f"Full validation result: {validation}"
)
@then("the validation message should contain the LLM response")
def step_validation_message_contains_llm_response(context: Any) -> None:
"""Assert that the validation message contains the LLM's response text."""
validation = context.result.get("validation_result", {})
message = validation.get("message", "")
llm_response = getattr(context, "llm_response", "FAIL")
assert llm_response in message, (
f"Expected validation message to contain {llm_response!r} but got: {message!r}"
)
@@ -0,0 +1,43 @@
@tdd_issue @tdd_issue_10477
Feature: TDD Issue #10477 — PlanGenerationGraph._validate() always passes for code longer than 10 characters
As a developer relying on LLM-based code validation
I want _validate() to respect the LLM's FAIL response
So that invalid, broken, or insecure generated code is correctly rejected
This test captures bug #10480 (and its TDD counterpart #10477).
The _validate() method had a logic error:
is_valid = "PASS" in validation.upper() or len(all_code) > 10 # BUG
The ``or len(all_code) > 10`` condition made validation always pass for
any generated code longer than 10 characters, completely bypassing the
LLM's validation response.
The fix removes the ``or len(all_code) > 10`` condition so that
validation correctly reflects the LLM's response:
is_valid = "PASS" in validation.upper() and "FAIL" not in validation.upper()
See CONTRIBUTING.md > Bug Fix Workflow > TDD Issue Test Tags.
@tdd_issue @tdd_issue_10477
Scenario: _validate() fails when LLM returns FAIL regardless of code length
Given a PlanGenerationGraph with an LLM that always returns FAIL
And a state with generated changes containing code longer than 10 characters
When I call _validate on the state
Then the validation result status should be FAIL
@tdd_issue @tdd_issue_10477
Scenario: _validate() passes when LLM returns PASS
Given a PlanGenerationGraph with an LLM that always returns PASS
And a state with generated changes containing code longer than 10 characters
When I call _validate on the state
Then the validation result status should be PASS
@tdd_issue @tdd_issue_10477
Scenario: _validate() fails when LLM returns FAIL with detailed message
Given a PlanGenerationGraph with an LLM that returns "FAIL: syntax error on line 5"
And a state with generated changes containing code longer than 10 characters
When I call _validate on the state
Then the validation result status should be FAIL
And the validation message should contain the LLM response
-2
View File
@@ -24,8 +24,6 @@ nav:
- AI Providers: api/providers.md
- TUI: api/tui.md
- ACMS / UKO: api/acms.md
- Guides:
- Configuration Reference: guides/configuration-reference.md
- Modules:
- Shell Safety: modules/shell-safety.md
- UKO Provenance Tracking: modules/uko-provenance.md
+2 -2
View File
@@ -375,7 +375,7 @@ Workflow Invoke Method Returns Complete State
... from cleveragents.agents.plan_generation import PlanGenerationGraph
... from langchain_community.llms import FakeListLLM
... from cleveragents.domain.models.core import Project, Plan, Context
... graph = PlanGenerationGraph(llm=FakeListLLM(responses=['test']*3))
... graph = PlanGenerationGraph(llm=FakeListLLM(responses=['PASS: code looks good']*10))
... project = Project(id=1, name='test_project', path=Path('/tmp/test_project'))
... plan = Plan(id=1, project_id=1, name='Logging Plan', prompt='Add logging')
... contexts = [Context(plan_id=plan.id, path='app.py', content='def main(): pass')]
@@ -405,7 +405,7 @@ Workflow Stream Method Yields Events
... from cleveragents.agents.plan_generation import PlanGenerationGraph
... from langchain_community.llms import FakeListLLM
... from cleveragents.domain.models.core import Project, Plan, Context
... graph = PlanGenerationGraph(llm=FakeListLLM(responses=['test']*3))
... graph = PlanGenerationGraph(llm=FakeListLLM(responses=['PASS: code looks good']*10))
... project = Project(id=1, name='test_project', path=Path('/tmp/test_project'))
... plan = Plan(id=1, project_id=1, name='Feature Plan', prompt='Add feature')
... contexts = [Context(plan_id=plan.id, path='app.py', content='# app')]
@@ -527,8 +527,12 @@ class PlanGenerationGraph:
)
validation = str(result)
# Simple validation check (in real implementation, parse the LLM response)
is_valid = "PASS" in validation.upper() or len(all_code) > 10
# Parse the LLM response: PASS only when the response contains PASS
# and does not contain FAIL. This ensures the LLM's judgment is
# respected regardless of the generated code length.
# Bug fix for #10480: removed the erroneous `or len(all_code) > 10`
# condition that caused validation to always pass for any real code.
is_valid = "PASS" in validation.upper() and "FAIL" not in validation.upper()
return {
"validation_result": {