company-ai-platform/app/modules/ai_agent/adapters.py

from abc import ABC, abstractmethod
from typing import Any

import httpx
from fastapi import HTTPException

from app.core.config import Settings, get_settings
from app.modules.ai_agent.constants import (
    AUTHORIZATION_BEARER_TEMPLATE,
    CHAT_USER_CONTENT_TEMPLATE,
    COMPANY_MANAGEMENT_SYSTEM_INSTRUCTIONS,
    DIRECT_LLM_API_KEY_MISSING,
    NOOP_PROVIDER_ANSWER,
    OPENCLAW_HERMES_PIPELINE,
    OPENCLAW_TOOL_COMPLETED_ANSWER,
    UNEXPECTED_HERMES_RESPONSE,
    AIDefault,
    AIChatRole,
    AIContextKey,
    AIErrorKey,
    AIHttpHeader,
    AIHttpPath,
    AIHttpPayloadKey,
    AIMemoryMode,
    AIProviderName,
    AIRequestKey,
    AIResponseKey,
)
from app.modules.ai_agent.skills import AISkillId, get_ai_skill


class AIAdapter(ABC):
    """Interface for model provider adapters."""

    provider_name: str

    @abstractmethod
    def ask(self, prompt: str, context: dict[str, Any] | None = None) -> dict[str, Any]:
        raise NotImplementedError


class NoopAdapter(AIAdapter):
    """Deterministic adapter used when no model provider is configured."""

    provider_name = AIProviderName.NOOP

    def ask(self, prompt: str, context: dict[str, Any] | None = None) -> dict[str, Any]:
        return {
            AIResponseKey.ANSWER: NOOP_PROVIDER_ANSWER,
            AIResponseKey.RAW: {
                AIRequestKey.PROMPT: prompt,
                AIRequestKey.CONTEXT: context or {},
            },
        }


class OpenClawAdapter(AIAdapter):
    """Adapter for the OpenClaw Gateway control-plane API."""

    provider_name = AIProviderName.OPENCLAW

    def __init__(self, settings: Settings):
        self.settings = settings

    def ask(self, prompt: str, context: dict[str, Any] | None = None) -> dict[str, Any]:
        context = context or {}
        tool = context.get(AIContextKey.OPENCLAW_TOOL)
        if not tool:
            raise HTTPException(
                status_code=400,
                detail=(
                    "OpenClaw Gateway is not configured as a chat provider. "
                    "Provide context.openclaw_tool for /tools/invoke, or use "
                    "MODEL_PROVIDER=hermes/openclaw_hermes for AI answers."
                ),
            )
        result = self.invoke_tool(
            tool=str(tool),
            action=str(context.get(AIContextKey.OPENCLAW_ACTION) or AIDefault.ACTION_JSON),
            args=context.get(AIContextKey.OPENCLAW_ARGS) or {},
            session_key=str(
                context.get(AIContextKey.OPENCLAW_SESSION_KEY) or AIDefault.SESSION_KEY_MAIN
            ),
        )
        return {
            AIResponseKey.ANSWER: OPENCLAW_TOOL_COMPLETED_ANSWER,
            AIResponseKey.RAW: result,
        }

    def health(self) -> dict[str, Any]:
        """Check OpenClaw Gateway health endpoints."""

        headers = self._headers()
        base_url = self._base_url()
        with httpx.Client(timeout=5, trust_env=False) as client:
            healthz = client.get(f"{base_url}{AIHttpPath.HEALTHZ}", headers=headers)
            readyz = client.get(f"{base_url}{AIHttpPath.READYZ}", headers=headers)
        return {
            AIResponseKey.OK: healthz.status_code < 400 and readyz.status_code < 400,
            AIResponseKey.BASE_URL: base_url,
            AIResponseKey.HEALTHZ: _response_payload(healthz),
            AIResponseKey.READYZ: _response_payload(readyz),
        }

    def invoke_tool(
        self,
        tool: str,
        action: str = AIDefault.ACTION_JSON,
        args: dict[str, Any] | None = None,
        session_key: str = AIDefault.SESSION_KEY_MAIN,
    ) -> dict[str, Any]:
        """Invoke one OpenClaw Gateway tool through `/tools/invoke`."""

        payload = {
            AIHttpPayloadKey.TOOL: tool,
            AIHttpPayloadKey.ACTION: action,
            AIHttpPayloadKey.ARGS: args or {},
            AIHttpPayloadKey.SESSION_KEY: session_key,
        }
        url = f"{self._base_url()}{AIHttpPath.TOOLS_INVOKE}"
        with httpx.Client(timeout=120, trust_env=False) as client:
            response = client.post(url, json=payload, headers=self._headers())
        if response.status_code >= 400:
            raise HTTPException(status_code=502, detail={AIErrorKey.OPENCLAW: response.text})
        return _response_payload(response)

    def _base_url(self) -> str:
        return (self.settings.openclaw_http_url or self.settings.openclaw_base_url).rstrip("/")

    def _headers(self) -> dict[str, str]:
        token = self.settings.openclaw_gateway_token or self.settings.openclaw_api_key
        if not token:
            return {}
        return {
            AIHttpHeader.AUTHORIZATION: AUTHORIZATION_BEARER_TEMPLATE.format(token=token)
        }


class HermesAdapter(AIAdapter):
    """Adapter for the Hermes OpenAI-compatible agent endpoint."""

    provider_name = AIProviderName.HERMES

    def __init__(self, settings: Settings):
        self.settings = settings

    def ask(self, prompt: str, context: dict[str, Any] | None = None) -> dict[str, Any]:
        url = f"{self.settings.hermes_base_url.rstrip('/')}{AIHttpPath.CHAT_COMPLETIONS}"
        headers = {}
        if self.settings.hermes_api_key:
            headers[AIHttpHeader.AUTHORIZATION] = AUTHORIZATION_BEARER_TEMPLATE.format(
                token=self.settings.hermes_api_key
            )
        if self.settings.hermes_session_id:
            headers[AIHttpHeader.HERMES_SESSION_ID] = self.settings.hermes_session_id
        payload = {
            AIHttpPayloadKey.MODEL: self.settings.hermes_model,
            AIHttpPayloadKey.MESSAGES: _chat_messages(prompt, context),
            AIHttpPayloadKey.STREAM: False,
        }
        with httpx.Client(timeout=300, trust_env=False) as client:
            response = client.post(url, json=payload, headers=headers)
        if response.status_code >= 400:
            raise HTTPException(status_code=502, detail={AIErrorKey.HERMES: response.text})
        data = response.json()
        try:
            answer = data[AIHttpPayloadKey.CHOICES][0][AIHttpPayloadKey.MESSAGE][
                AIHttpPayloadKey.CONTENT
            ]
        except (KeyError, IndexError, TypeError) as exc:
            raise HTTPException(
                status_code=502,
                detail={
                    AIErrorKey.HERMES: UNEXPECTED_HERMES_RESPONSE,
                    AIResponseKey.RAW: data,
                },
            ) from exc
        return {AIResponseKey.ANSWER: answer, AIResponseKey.RAW: data}

    def health(self) -> dict[str, Any]:
        """Check Hermes Agent health without triggering a chat completion."""

        url = f"{_service_root(self.settings.hermes_base_url, AIHttpPath.V1)}{AIHttpPath.HEALTH}"
        headers = {}
        if self.settings.hermes_api_key:
            headers[AIHttpHeader.AUTHORIZATION] = AUTHORIZATION_BEARER_TEMPLATE.format(
                token=self.settings.hermes_api_key
            )
        with httpx.Client(timeout=5, trust_env=False) as client:
            response = client.get(url, headers=headers)
        return {
            AIResponseKey.OK: response.status_code < 400,
            AIResponseKey.BASE_URL: self.settings.hermes_base_url.rstrip("/"),
            AIResponseKey.HEALTH: _response_payload(response),
        }


class OpenClawHermesAdapter(AIAdapter):
    """Compose OpenClaw Gateway context with Hermes Agent answers."""

    provider_name = AIProviderName.OPENCLAW_HERMES

    def __init__(self, settings: Settings):
        self.openclaw = OpenClawAdapter(settings)
        self.hermes = HermesAdapter(settings)

    def ask(self, prompt: str, context: dict[str, Any] | None = None) -> dict[str, Any]:
        base_context = context or {}
        recall = self._recall_memory(prompt, base_context)
        openclaw = self._openclaw_context(base_context)
        hermes_context = {
            **base_context,
            AIContextKey.AGENT_PIPELINE: self.provider_name,
            AIContextKey.HERMES_MEMORY: recall[AIResponseKey.ANSWER],
            AIContextKey.OPENCLAW: openclaw,
        }
        hermes_result = self.hermes.ask(prompt, hermes_context)
        remember = self._remember_interaction(
            prompt,
            base_context,
            hermes_result[AIResponseKey.ANSWER],
        )
        return {
            AIResponseKey.ANSWER: hermes_result[AIResponseKey.ANSWER],
            AIResponseKey.RAW: {
                AIResponseKey.PIPELINE: OPENCLAW_HERMES_PIPELINE,
                AIResponseKey.HERMES_RECALL: recall,
                AIResponseKey.OPENCLAW: openclaw,
                AIResponseKey.HERMES_ANSWER: hermes_result.get(AIResponseKey.RAW, {}),
                AIResponseKey.HERMES_REMEMBER: remember,
            },
        }

    def _openclaw_context(self, context: dict[str, Any]) -> dict[str, Any]:
        result: dict[str, Any] = {AIResponseKey.TOOL_INVOKED: False}
        try:
            result[AIResponseKey.HEALTH] = self.openclaw.health()
        except Exception as exc:
            result[AIResponseKey.HEALTH] = {
                AIResponseKey.OK: False,
                AIResponseKey.ERROR: _error_detail(exc),
            }

        tool = context.get(AIContextKey.OPENCLAW_TOOL)
        if not tool:
            return result

        try:
            result[AIResponseKey.TOOL_INVOKED] = True
            result[AIResponseKey.TOOL] = self.openclaw.invoke_tool(
                tool=str(tool),
                action=str(context.get(AIContextKey.OPENCLAW_ACTION) or AIDefault.ACTION_JSON),
                args=context.get(AIContextKey.OPENCLAW_ARGS) or {},
                session_key=str(
                    context.get(AIContextKey.OPENCLAW_SESSION_KEY)
                    or AIDefault.SESSION_KEY_MAIN
                ),
            )
        except Exception as exc:
            result[AIResponseKey.TOOL_ERROR] = _error_detail(exc)
        return result

    def _recall_memory(self, prompt: str, context: dict[str, Any]) -> dict[str, Any]:
        recall_skill = get_ai_skill(AISkillId.HERMES_MEMORY_RECALL)
        try:
            result = self.hermes.ask(
                recall_skill.render(),
                {
                    AIContextKey.MODE: AIMemoryMode.RECALL,
                    AIContextKey.USER_PROMPT: prompt,
                    AIContextKey.REQUEST_CONTEXT: context,
                },
            )
        except Exception as exc:  # Hermes memory should not block OpenClaw execution.
            return {
                AIResponseKey.ANSWER: "",
                AIResponseKey.RAW: {},
                AIResponseKey.ERROR: _error_detail(exc),
            }
        return {
            AIResponseKey.ANSWER: result[AIResponseKey.ANSWER],
            AIResponseKey.RAW: result.get(AIResponseKey.RAW, {}),
        }

    def _remember_interaction(
        self,
        prompt: str,
        context: dict[str, Any],
        answer: str,
    ) -> dict[str, Any]:
        remember_skill = get_ai_skill(AISkillId.HERMES_MEMORY_WRITE)
        try:
            result = self.hermes.ask(
                remember_skill.render(),
                {
                    AIContextKey.MODE: AIMemoryMode.WRITE,
                    AIContextKey.USER_PROMPT: prompt,
                    AIContextKey.REQUEST_CONTEXT: context,
                    AIContextKey.ASSISTANT_ANSWER: answer,
                },
            )
        except Exception as exc:
            return {
                AIResponseKey.OK: False,
                AIResponseKey.RAW: {},
                AIResponseKey.ERROR: _error_detail(exc),
            }
        return {
            AIResponseKey.OK: True,
            AIResponseKey.RAW: result.get(AIResponseKey.RAW, {}),
            AIResponseKey.ANSWER: result[AIResponseKey.ANSWER],
        }


class DirectLLMAdapter(AIAdapter):
    """Adapter for OpenAI-compatible chat completions APIs."""

    provider_name = AIProviderName.DIRECT_LLM

    def __init__(self, settings: Settings):
        self.settings = settings

    def ask(self, prompt: str, context: dict[str, Any] | None = None) -> dict[str, Any]:
        if not self.settings.direct_llm_api_key:
            raise HTTPException(status_code=503, detail=DIRECT_LLM_API_KEY_MISSING)
        url = f"{self.settings.direct_llm_base_url.rstrip('/')}{AIHttpPath.CHAT_COMPLETIONS}"
        headers = {
            AIHttpHeader.AUTHORIZATION: AUTHORIZATION_BEARER_TEMPLATE.format(
                token=self.settings.direct_llm_api_key
            )
        }
        payload = {
            AIHttpPayloadKey.MODEL: self.settings.direct_llm_model,
            AIHttpPayloadKey.MESSAGES: _chat_messages(prompt, context),
        }
        with httpx.Client(timeout=60, trust_env=False) as client:
            response = client.post(url, json=payload, headers=headers)
        if response.status_code >= 400:
            raise HTTPException(status_code=502, detail={AIErrorKey.DIRECT_LLM: response.text})
        data = response.json()
        answer = data[AIHttpPayloadKey.CHOICES][0][AIHttpPayloadKey.MESSAGE][
            AIHttpPayloadKey.CONTENT
        ]
        return {AIResponseKey.ANSWER: answer, AIResponseKey.RAW: data}


def get_adapter() -> AIAdapter:
    """Return the configured AI provider adapter."""

    settings = get_settings()
    provider = settings.model_provider.lower()
    if provider == AIProviderName.OPENCLAW:
        return OpenClawAdapter(settings)
    if provider == AIProviderName.HERMES:
        return HermesAdapter(settings)
    if provider in {
        AIProviderName.OPENCLAW_HERMES,
        AIProviderName.OPENCLAW_HERMES_DASH,
        AIProviderName.HYBRID,
    }:
        return OpenClawHermesAdapter(settings)
    if provider == AIProviderName.DIRECT_LLM:
        return DirectLLMAdapter(settings)
    return NoopAdapter()


def _error_detail(exc: Exception) -> Any:
    if isinstance(exc, HTTPException):
        return exc.detail
    return {AIResponseKey.TYPE: type(exc).__name__, AIResponseKey.MESSAGE: str(exc)}


def _response_payload(response: httpx.Response) -> dict[str, Any]:
    try:
        data = response.json()
    except ValueError:
        data = {AIResponseKey.TEXT: response.text}
    return {AIResponseKey.STATUS_CODE: response.status_code, AIResponseKey.DATA: data}


def _chat_messages(prompt: str, context: dict[str, Any] | None = None) -> list[dict[str, str]]:
    return [
        {
            AIHttpPayloadKey.ROLE: AIChatRole.SYSTEM,
            AIHttpPayloadKey.CONTENT: COMPANY_MANAGEMENT_SYSTEM_INSTRUCTIONS,
        },
        {
            AIHttpPayloadKey.ROLE: AIChatRole.USER,
            AIHttpPayloadKey.CONTENT: CHAT_USER_CONTENT_TEMPLATE.format(
                context=context or {},
                task=prompt,
            ),
        },
    ]


def _service_root(base_url: str, suffix: str) -> str:
    root = base_url.rstrip("/")
    normalized_suffix = suffix.rstrip("/")
    if root.endswith(normalized_suffix):
        root = root[: -len(normalized_suffix)]
    return root.rstrip("/")