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297 changes: 153 additions & 144 deletions ARCHITECTURE.md

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47 changes: 47 additions & 0 deletions PHASE_5_ARCHITECTURE_CONSOLIDATION.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,47 @@
# Phase 5 — Architecture Consolidation

## Status

**Implementation complete on `phase-5-architecture-consolidation`; final full-suite/CI verification is environment-dependent.**

## Target architecture

```text
User Request
Task Classifier
Task Complexity
Model Policy
ModelRouter
Structured RoutingDecision
LLMFactory
Ollama
Response / AgentResult
```

## What changed

- Added authoritative `TaskType`, `TaskComplexity`, `AgentRequest`, `AgentResult`, `ModelPolicy`, `RoutingDecision`, and `ModelRouter`.
- Made `LLMFactory` consume structured routing decisions and remain the provider-instantiation boundary.
- Moved the existing deterministic model-selection rules out of `ollama_service.py` into `ModelPolicy`.
- Routed FastAPI generation/fix flows through `ModelRouter` and `LLMFactory`.
- Converted `OllamaProvider` to the shared `BaseLLMProvider` contract.
- Retired the simulated `ModelOrchestrator` and duplicate `ProviderManager`.
- Kept low-level Ollama compatibility helpers without allowing them to perform business-level model routing.
- Added dedicated Phase 5 routing regression tests.
- Updated architecture documentation and the ecosystem check.

## Verification boundary

Core Phase 5 routing behavior was AST-validated and exercised in isolation, including deterministic model selection, task classification, complexity classification, structured routing decisions, and unsupported-provider rejection.

The repository's existing CI workflow does not execute on this Phase 5 branch for push events, and the GitHub connector available for this execution cannot run arbitrary local `pytest`, Flake8, or `pip check` commands. No live Ollama result is claimed.

The branch remains unmerged and independent from `main`.
22 changes: 18 additions & 4 deletions backend/app/llm/factory.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,12 +9,13 @@
from .providers.fallback import FallbackProvider
from .providers.ollama import OllamaProvider
from .providers.openai import OpenAIProvider
from .routing import RoutingDecision

logger = logging.getLogger("codemaster-ai")


class LLMFactory:
"""Factory and registry for provider instantiation."""
"""Single authoritative provider-instantiation boundary."""

_registry: Dict[str, Type[BaseLLMProvider]] = {
"ollama": OllamaProvider,
Expand All @@ -24,16 +25,29 @@ class LLMFactory:

@classmethod
def create_provider(cls, provider_name: str | None = None) -> BaseLLMProvider:
provider_key = (provider_name or os.getenv("LLM_PROVIDER") or getattr(settings, "LLM_PROVIDER", "fallback") or "fallback").strip().lower()
"""Create a provider; production routing normally supplies the name."""
provider_key = (
provider_name
or os.getenv("LLM_PROVIDER")
or getattr(settings, "LLM_PROVIDER", "fallback")
or "fallback"
).strip().lower()
provider_cls = cls._registry.get(provider_key)
if provider_cls is None:
logger.warning("Unknown provider '%s'; using fallback provider", provider_key)
return FallbackProvider("fallback")
provider_key = "fallback"
provider_cls = FallbackProvider

provider = provider_cls(provider_key)
logger.info("LLMFactory selected provider '%s'", provider_key)
logger.info("LLMFactory created provider '%s'", provider_key)
return provider

@classmethod
def create(cls, decision: RoutingDecision) -> tuple[BaseLLMProvider, str]:
"""Create the provider selected by one structured routing decision."""
provider = cls.create_provider(decision.provider)
return provider, decision.model

@classmethod
def register_provider(cls, name: str, provider_cls: Type[BaseLLMProvider]) -> None:
cls._registry[name.strip().lower()] = provider_cls
110 changes: 61 additions & 49 deletions backend/app/llm/providers/ollama.py
Original file line number Diff line number Diff line change
@@ -1,49 +1,61 @@
import httpx
import logging
import os

logger = logging.getLogger("codemaster-ai")

class OllamaProvider:


provider_name = "ollama"
def get_status(self) -> dict:
"""Return the operational status of the Ollama provider."""
return {
"provider": "ollama",
"status": "healthy" if (self.is_available() if callable(getattr(self, "is_available", None)) else getattr(self, "is_available", True)) else "degraded"
}
def __init__(self, provider_key: str = "ollama"):
self.base_url = os.getenv("OLLAMA_BASE_URL", "http://localhost:11434")
self.is_available = os.getenv("OLLAMA_ENABLED", "true").lower() == "true"
self._last_error = None

async def generate(self, prompt: str, **kwargs) -> str:
if not self.is_available:
raise RuntimeError("ollama provider is disabled")

model = kwargs.get("model", "qwen2.5-coder:1.5b")
url = f"{self.base_url}/api/generate"
payload = {
"model": model,
"prompt": prompt,
"stream": False
}
try:
async with httpx.AsyncClient(timeout=60.0) as client:
response = await client.post(url, json=payload)
if response.status_code != 200:
raise RuntimeError(f"Ollama API error: {response.text}")
data = response.json()
return data.get("response", "")
except Exception as e:
logger.error(f"Ollama generation failed: {e}")
raise RuntimeError(f"Ollama generation failed: {e}")

def is_ready(self) -> bool:
import os
val = os.getenv("OLLAMA_ENABLED")
if val is not None:
return val.lower() not in ("false", "0", "no", "off")
return True
from __future__ import annotations

import logging
import os
from typing import Any, Dict

import httpx

from .base import BaseLLMProvider

logger = logging.getLogger("codemaster-ai")


class OllamaProvider(BaseLLMProvider):
"""Local Ollama provider implementation.

Model selection is supplied by ModelRouter/LLMFactory. The provider only
executes the already-selected provider/model request.
"""

def __init__(self, provider_name: str | None = None):
super().__init__(provider_name or "ollama")
self.base_url = os.getenv("OLLAMA_BASE_URL", "http://localhost:11434")
self.enabled = os.getenv("OLLAMA_ENABLED", "true").lower() == "true"
self._last_error: str | None = None

async def generate(self, prompt: str, model: str | None = None) -> str:
if not self.is_ready():
raise RuntimeError("ollama provider is disabled")

selected_model = model or "qwen2.5-coder:1.5b"
url = f"{self.base_url.rstrip('/')}/api/generate"
payload = {"model": selected_model, "prompt": prompt, "stream": False}
try:
async with httpx.AsyncClient(timeout=60.0) as client:
response = await client.post(url, json=payload)
if response.status_code != 200:
raise RuntimeError(f"Ollama API error: {response.text}")
data = response.json()
result = data.get("response", "")
if not isinstance(result, str):
raise RuntimeError("Ollama returned a malformed response")
self._last_error = None
return result
except Exception as exc:
self._last_error = str(exc)
logger.error("Ollama generation failed: %s", exc)
raise RuntimeError(f"Ollama generation failed: {exc}") from exc

def is_ready(self) -> bool:
value = os.getenv("OLLAMA_ENABLED")
if value is not None:
return value.lower() not in ("false", "0", "no", "off")
return self.enabled

def get_status(self) -> Dict[str, Any]:
return {
"provider": self.provider_name,
"ready": self.is_ready(),
"last_error": self._last_error,
}
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