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Merged
gusfraser merged 1 commit into from
Aug 8, 2025
Merged

GPT-5 workaround #14

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35 changes: 18 additions & 17 deletions pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"

[project]
name = "replicantx"
version = "0.1.9"
version = "0.1.10"
description = "End-to-end testing harness for AI agents via web service API"
readme = "README.md"
requires-python = ">=3.11"
Expand All @@ -14,7 +14,7 @@ authors = [
]
keywords = ["ai", "agent", "testing", "e2e", "api"]
classifiers = [
"Development Status :: 3 - Alpha",
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.11",
Expand All @@ -23,20 +23,21 @@ classifiers = [
]

dependencies = [
"pydantic>=2.7",
"typer>=0.12.0",
"httpx>=0.27.0",
"PyYAML>=6.0",
"supabase>=2.0.0",
"jinja2>=3.1.0",
"rich>=13.0.0",
"pydantic-ai>=0.3.0",
"python-dotenv>=1.0.0",
"pydantic>=2.11.7",
"typer>=0.16.0",
"httpx>=0.28.1",
"PyYAML>=6.0.2",
"supabase>=2.18.0",
"jinja2>=3.1.6",
"rich>=14.1.0",
"pydantic-ai>=0.6.2",
"python-dotenv>=1.1.1",
"typing-extensions>=4.14.1",
]

[project.optional-dependencies]
cli = [
"typer[all]>=0.12.0",
"typer[all]>=0.16.0",
]
dev = [
"pytest>=8.0.0",
Expand All @@ -48,15 +49,15 @@ dev = [
# Note: PydanticAI is included in core dependencies and handles all LLM providers
# Optional providers can be installed separately based on PydanticAI documentation
openai = [
"openai>=1.0.0",
"openai>=1.99.3",
]
anthropic = [
"anthropic>=0.34.0",
"anthropic>=0.61.0",
]
all = [
"typer[all]>=0.12.0",
"openai>=1.0.0",
"anthropic>=0.34.0",
"typer[all]>=0.16.0",
"openai>=1.99.3",
"anthropic>=0.61.0",
]

[project.scripts]
Expand Down
6 changes: 3 additions & 3 deletions replicantx/cli.py
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Original file line number Diff line number Diff line change
Expand Up @@ -73,7 +73,7 @@ def run(
False, "--ci", help="CI mode: exit with non-zero code if any tests fail"
),
verbose: bool = typer.Option(
False, "--verbose", "-v", help="Enable verbose output"
False, "--verbose", help="Enable verbose output"
),
debug: bool = typer.Option(
False, "--debug", help="Enable debug mode: Shows detailed technical information including HTTP client setup, request payloads, response validation, AI processing, and assertion results. Perfect for troubleshooting failed tests and performance analysis."
Expand Down Expand Up @@ -266,7 +266,7 @@ async def run_scenarios_sequential(
if config.level == TestLevel.BASIC:
runner = BasicScenarioRunner(config, debug=debug, watch=watch)
elif config.level == TestLevel.AGENT:
runner = AgentScenarioRunner(config, debug=debug, watch=watch)
runner = AgentScenarioRunner(config, debug=debug, watch=watch, verbose=verbose)
else:
raise ValueError(f"Unsupported test level: {config.level}")

Expand Down Expand Up @@ -400,7 +400,7 @@ async def _execute_scenario(
if config.level == TestLevel.BASIC:
runner = BasicScenarioRunner(config, debug=debug, watch=watch)
elif config.level == TestLevel.AGENT:
runner = AgentScenarioRunner(config, debug=debug, watch=watch)
runner = AgentScenarioRunner(config, debug=debug, watch=watch, verbose=verbose)
else:
raise ValueError(f"Unsupported test level: {config.level}")

Expand Down
8 changes: 5 additions & 3 deletions replicantx/scenarios/agent.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,18 +27,20 @@
class AgentScenarioRunner:
"""Runner for Replicant agent-driven (Level 2) test scenarios."""

def __init__(self, config: ScenarioConfig, debug: bool = False, watch: bool = False):
def __init__(self, config: ScenarioConfig, debug: bool = False, watch: bool = False, verbose: bool = False):
"""Initialize the agent scenario runner.

Args:
config: Scenario configuration with Replicant agent setup
debug: Enable debug mode with technical details
watch: Enable watch mode for real-time monitoring
verbose: Enable verbose output for system prompts
"""
self.config = config
self.debug = debug
self.watch = watch
self.console = Console() if (debug or watch) else None
self.verbose = verbose
self.console = Console() if (debug or watch or verbose) else None
self.auth_provider = self._create_auth_provider()
self.http_client: Optional[HTTPClient] = None
self.replicant_agent: Optional[ReplicantAgent] = None
Expand Down Expand Up @@ -147,7 +149,7 @@ async def run(self) -> ScenarioReport:
})

# Initialize Replicant agent
self.replicant_agent = ReplicantAgent.create(self.config.replicant)
self.replicant_agent = ReplicantAgent.create(self.config.replicant, verbose=self.verbose)

current_datetime = datetime.now()
date_str = current_datetime.strftime("%A, %B %d, %Y")
Expand Down
43 changes: 36 additions & 7 deletions replicantx/scenarios/replicant.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,9 +39,10 @@ class GoalEvaluator(BaseModel):
model_name: Optional[str] = Field(None, description="Model for intelligent evaluation")
custom_prompt: Optional[str] = Field(None, description="Custom evaluation prompt")
completion_keywords: List[str] = Field(..., description="Keywords for keyword-based evaluation")
verbose: bool = Field(False, description="Enable verbose output for system prompts")

@classmethod
def create(cls, config: ReplicantConfig) -> "GoalEvaluator":
def create(cls, config: ReplicantConfig, verbose: bool = False) -> "GoalEvaluator":
"""Create a GoalEvaluator from ReplicantConfig.

Args:
Expand All @@ -56,7 +57,8 @@ def create(cls, config: ReplicantConfig) -> "GoalEvaluator":
mode=config.goal_evaluation_mode,
model_name=model_name,
custom_prompt=config.goal_evaluation_prompt,
completion_keywords=config.completion_keywords
completion_keywords=config.completion_keywords,
verbose=verbose
)

async def evaluate_goal_completion(
Expand Down Expand Up @@ -146,12 +148,24 @@ async def _evaluate_with_llm(

# Create LLM agent for evaluation
model = infer_model(self.model_name)
# Only include max_tokens for evaluation - don't set temperature to avoid compatibility issues
agent = PydanticAgent(
model=model,
instructions="You are an expert at evaluating whether conversation goals have been achieved. Be precise and analytical.",
model_settings={"temperature": 0.1, "max_tokens": 200} # Low temperature for consistency
model_settings={"max_tokens": 1000} # Only include max_tokens, skip temperature for compatibility
)

# Verbose logging of the goal evaluation prompt
if self.verbose:
print("\n" + "="*80)
print("🔍 VERBOSE: GOAL EVALUATION PROMPT SENT TO PYDANTICAI")
print("="*80)
print(f"Model: {self.model_name}")
print(f"Model Settings: {{'max_tokens': 200}}")
print(f"Instructions: You are an expert at evaluating whether conversation goals have been achieved. Be precise and analytical.")
print(f"Prompt: {prompt}")
print("="*80 + "\n")

# Get evaluation
result = await agent.run(prompt)
response = result.output.strip()
Expand Down Expand Up @@ -327,6 +341,7 @@ class ResponseGenerator(BaseModel):
system_prompt: str = Field(..., description="System prompt for response generation")
model_settings: Dict[str, Any] = Field(default_factory=dict, description="Model settings")
facts: Dict[str, Any] = Field(..., description="Available facts")
verbose: bool = Field(False, description="Enable verbose output for system prompts")

def _create_agent(self) -> PydanticAgent:
"""Create a PydanticAI agent instance."""
Expand Down Expand Up @@ -374,6 +389,18 @@ async def generate_response(self, api_message: str, conversation_state: Conversa

# Create and use PydanticAI agent
agent = self._create_agent()

# Verbose logging of the complete system prompt
if self.verbose:
print("\n" + "="*80)
print("🔍 VERBOSE: COMPLETE SYSTEM PROMPT SENT TO PYDANTICAI")
print("="*80)
print(f"Model: {self.model_name}")
print(f"Model Settings: {self.model_settings}")
print(f"System Prompt: {self.system_prompt}")
print(f"Context: {context}")
print("="*80 + "\n")

result = await agent.run(context)

return result.output
Expand Down Expand Up @@ -418,16 +445,17 @@ class ReplicantAgent(BaseModel):
goal_evaluator: GoalEvaluator = Field(..., description="Goal evaluation utility")

@classmethod
def create(cls, config: ReplicantConfig) -> "ReplicantAgent":
def create(cls, config: ReplicantConfig, verbose: bool = False) -> "ReplicantAgent":
"""Create a new Replicant agent.

Args:
config: Replicant configuration
verbose: Enable verbose output for system prompts

Returns:
Configured Replicant agent
"""
# Build model settings
# Build model settings - only include parameters that are explicitly provided
model_settings = {}
if config.llm.temperature is not None:
model_settings["temperature"] = config.llm.temperature
Expand All @@ -438,10 +466,11 @@ def create(cls, config: ReplicantConfig) -> "ReplicantAgent":
model_name=config.llm.model,
system_prompt=config.system_prompt,
model_settings=model_settings,
facts=config.facts
facts=config.facts,
verbose=verbose
)

goal_evaluator = GoalEvaluator.create(config)
goal_evaluator = GoalEvaluator.create(config, verbose=verbose)

return cls(
config=config,
Expand Down
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