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CausalGame repro bundle: modified harness (hf provider) + repro scripts
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"""
Canyon Client - API client for CausalGame agent interactions.
Simplified API - all methods use the current DEF-based system with equipment support.
Session management is automatic and transparent to the agent.
"""
import requests
from typing import Dict, List, Any, Optional
class CanyonClient:
"""
Client for interacting with the CausalGame backend.
Session management is automatic - the client registers a session on init
and includes X-Session-ID in all requests transparently.
"""
def __init__(
self,
base_url: str = "http://localhost:8000",
model_name: Optional[str] = None,
agent_name: Optional[str] = None,
experiment: Optional[str] = None,
execution_mode: str = "legacy",
auto_register: bool = True
):
"""
Initialize the Canyon client.
Args:
base_url: Backend server URL
model_name: Model identifier for tracking
agent_name: Agent identifier for tracking
experiment: Experiment name (if not specified, uses server default)
execution_mode: Execution mode - "legacy" or "hybrid"
auto_register: Whether to auto-register a session (default: True)
"""
self.base_url = base_url.rstrip('/')
self.model_name = model_name
self.agent_name = agent_name
self.experiment = experiment
self.execution_mode = execution_mode
self._session_id: Optional[str] = None # Internal, not exposed to agent
if auto_register:
self._register_session()
def _headers(self) -> Dict[str, str]:
"""Get headers with session ID (internal)."""
headers = {"Content-Type": "application/json"}
if self._session_id:
headers["X-Session-ID"] = self._session_id
return headers
def _get(self, endpoint: str, params: Dict = None) -> Any:
"""Make GET request."""
url = f"{self.base_url}{endpoint}"
response = requests.get(url, headers=self._headers(), params=params, timeout=30)
response.raise_for_status()
return response.json()
def _post(self, endpoint: str, data: Dict = None) -> Any:
"""Make POST request."""
url = f"{self.base_url}{endpoint}"
response = requests.post(url, headers=self._headers(), json=data or {}, timeout=30)
response.raise_for_status()
return response.json()
def _register_session(self) -> Dict[str, Any]:
"""Register a new agent session (internal, called automatically)."""
payload = {
"model_name": self.model_name,
"agent_name": self.agent_name,
"execution_mode": self.execution_mode,
}
if self.experiment:
payload["experiment"] = self.experiment
result = self._post("/api/agent/register", payload)
self._session_id = result.get("session_id")
return result
# ============================================================
# Status and Data
# ============================================================
def get_status(self) -> Dict[str, Any]:
"""
Get current mission status.
Returns:
Dict with mission state including:
- stage: Current stage (1 or 2)
- drones_remaining: Available drones for exploration
- deployments_remaining: Remaining deploy calls
- victory_threshold: Target survival rate
"""
return self._get("/api/agent/status")
def get_action_space(self) -> Dict[str, Any]:
"""
Get action space configuration for the current experiment.
Returns:
Action space config including:
- numerical: DEF parameters with min/max/default
- discrete: Equipment options (e.g., enhancement_module choices)
- boolean: Toggle options
- constraints: Budget limits (e.g., total_def_budget)
"""
return self._get("/api/v2/action_space")
def get_history(self) -> List[Dict[str, Any]]:
"""
Get historical flight data.
Returns:
List of flight records with survival status, hit_count, environment data
"""
return self._get("/api/agent/history")
# ============================================================
# Environment Queries
# ============================================================
def get_all_environments(self) -> Dict[str, Dict[str, Any]]:
"""
Get all environment data for past missions.
Returns:
Dict mapping flight_id to environment data
"""
history = self.get_history()
environments = {}
for record in history:
if "environment" in record:
flight_id = record.get("flight_id", record.get("id", "unknown"))
environments[flight_id] = record["environment"]
return environments
# ============================================================
# Drone Deployment
# ============================================================
def deploy_drone(
self,
design: Dict[str, int],
count: int = 1,
equipment: Optional[Dict[str, str]] = None
) -> Dict[str, Any]:
"""
Deploy drones with the specified design.
Args:
design: Component DEF values, e.g.:
{"engine_def": 15, "cockpit_def": 15, "wing_def": 10, ...}
count: Number of drones to deploy (default: 1)
equipment: Optional equipment choices, e.g.:
{"enhancement_module": "signal_filter"}
Returns:
Deployment results with survival status for each drone
"""
payload = {
"design": design,
"count": count,
}
if equipment:
payload["equipment"] = equipment
return self._post("/api/agent/deploy", payload)
# ============================================================
# Final Submission
# ============================================================
def submit_final_design(
self,
design: Dict[str, int],
equipment: Optional[Dict[str, str]] = None
) -> Dict[str, Any]:
"""
Submit final design for Stage 2 evaluation.
WARNING: This can only be called ONCE! Make sure your design is ready.
Args:
design: Final component DEF values
equipment: Optional equipment choices
Returns:
Evaluation results including:
- survival_rate: Final survival percentage
- victory: Whether the threshold was met
- final_score: Overall score
"""
payload = {"design": design}
if equipment:
payload["equipment"] = equipment
result = self._post("/api/agent/submit", payload)
result["status"] = "EVALUATION_COMPLETE"
return result
# ============================================================
# Utility Methods
# ============================================================
def reset(self) -> Dict[str, Any]:
"""Reset the current session to start over."""
return self._post("/api/agent/reset")
def log_message(self, message: str, level: str = "info") -> Dict[str, Any]:
"""
Log a message for debugging/tracking.
Args:
message: Log message
level: Log level (info, warning, error)
"""
return self._post("/api/agent/log", {
"message": message,
"level": level,
})
def report_error(self, error: str, error_type: Optional[str] = None, fatal: bool = True) -> Dict[str, Any]:
"""
Report an error to the backend.
Use this to mark the session as failed due to an actual error
(API error, LLM error, timeout, etc.).
Args:
error: Error message
error_type: Optional error type (e.g., 'api_error', 'llm_error', 'timeout')
fatal: Whether this error ends the session (default: True)
"""
return self._post("/api/agent/report_error", {
"error": error,
"error_type": error_type,
"fatal": fatal,
})
def update_token_usage(self, input_tokens: int, output_tokens: int) -> Dict[str, Any]:
"""
Update token usage statistics for this session.
Args:
input_tokens: Number of input tokens used
output_tokens: Number of output tokens used
"""
return self._post("/api/agent/token_usage", {
"input_tokens": input_tokens,
"output_tokens": output_tokens,
})
def update_session_config(
self,
max_turns: Optional[int] = None,
current_turn: Optional[int] = None,
final_turn: Optional[int] = None
) -> Dict[str, Any]:
"""
Update session configuration (max_turns, current_turn, final_turn).
Args:
max_turns: Maximum turns for this session
current_turn: Current turn number
final_turn: Turn when final design was submitted (excludes reflection)
"""
payload = {}
if max_turns is not None:
payload["max_turns"] = max_turns
if current_turn is not None:
payload["current_turn"] = current_turn
if final_turn is not None:
payload["final_turn"] = final_turn
return self._post("/api/agent/session_config", payload)
def export_records(self) -> Dict[str, Any]:
"""
Export session records (flight history, logs, etc.) to a file.
Returns:
Dict with filepath of exported records, or empty dict if not available
"""
try:
return self._post("/api/agent/export")
except Exception:
# Export endpoint may not be implemented
return {"status": "not_available", "message": "Export not available"}
def save_conversation_history(self, history: List[Dict[str, str]]) -> Dict[str, Any]:
"""
Save conversation history to backend for resume support.
Args:
history: List of message dicts with role and content
"""
return self._post("/api/agent/conversation_history", {"conversation_history": history})
def get_conversation_history(self) -> Dict[str, Any]:
"""
Get saved conversation history from backend.
Returns:
Dict with conversation_history list
"""
return self._get("/api/agent/conversation_history")