Implement CYA-WP-0008 llm-connect adapter integration.

Wire LLMConnectAdapter behind the existing LLMAdapter seam with config-driven
selection, graceful degradation, --offline mode, and bounded session context.
Add unit tests, integration docs, and update README/SCOPE/AGENTS.

AGENTS.md

@@ -185,6 +185,7 @@ make check-dist
 
 # Run the assistant
 cya "your natural language request here"
+cya --offline "..."   # deterministic fake adapter (CI / no API keys)
 cya --help
 cya --explain-context "show me what context would be collected"
 
@@ -213,7 +214,7 @@ Relevant workplans:
 - `workplans/CYA-WP-0005-agentic-memory-profiles-and-phase-memory-feedback.md`
 - `workplans/CYA-WP-0006-profile-1-production-hardening.md` (finished)
 - `workplans/CYA-WP-0007-interactive-shell-session.md` (ready — interactive REPL + history + hub)
-- `workplans/CYA-WP-0008-llm-connect-adapter-integration.md` (ready — real LLM behind adapter seam)
+- `workplans/CYA-WP-0008-llm-connect-adapter-integration.md` (finished — real LLM behind adapter seam)
 
 ---
 

README.md

@@ -16,7 +16,7 @@ usable after `pip install -e .`:
 - `cya "your request in plain English"`
 - `cya --explain-context "..."` — shows exactly what local context would be sent
 - Automatic rule-based risk classification with mandatory confirmation for anything destructive, privileged, mass-edit, or network-affecting
-- All LLM interaction flows through a documented `LLMAdapter` seam (currently a deterministic fake; ready for real `llm-connect`)
+- All LLM interaction flows through a documented `LLMAdapter` seam (`FakeLLMAdapter` by default; real `llm-connect` when configured)
 
 ## Installation
 
@@ -58,6 +58,41 @@ git pull
 make dev-install
 ```
 
+## LLM backend (configured vs offline)
+
+By default `cya` uses a deterministic **offline** adapter (no API keys, no network).
+For real inference, configure llm-connect:
+
+```bash
+# 1. Install llm-connect (sibling checkout)
+pip install -e ~/llm-connect
+
+# 2. Route credentials — do not commit keys
+warden route find "OpenRouter API key" --json
+
+# 3. Export key and configure cya
+export OPENROUTER_API_KEY="..."   # from OpenBao / operator path
+mkdir -p ~/.config/cya
+cat > ~/.config/cya/config.toml <<'EOF'
+[llm]
+adapter = "connect"
+backend = "openrouter"
+model = "anthropic/claude-sonnet-4"
+EOF
+
+cya "show me the recent git history for this repo"
+```
+
+Force offline mode anytime (tests, CI, air-gapped):
+
+```bash
+cya --offline "your request"
+# or: CYA_LLM_ADAPTER=fake cya "..."
+```
+
+See `docs/llm-connect-integration.md` for the full mapping, session context budget,
+and optional `.cya.toml` project overrides.
+
 ## Usage examples
 
 ```bash
@@ -190,9 +225,11 @@ decisions, and integration guide.
 ```bash
 # Recommended one-liner (see Installation section above)
 make dev-install
+pip install -e ~/llm-connect   # optional, for live inference
 
-pytest tests/ -q
+pytest tests/ -q               # offline mocks only; no API keys
-cya "..."   # manual verification
+pytest -m llm_live             # manual live check (requires OPENROUTER_API_KEY)
+cya --offline "..."            # manual verification without network
 make version   # show current dev version
 ```
 

SCOPE.md

@@ -21,7 +21,7 @@ Core capabilities now include:
 - Natural language request handling via clean Typer CLI.
 - Bounded, transparent local context collection.
 - Genuine rule-based (memory-aware) risk classification with mandatory confirmation.
-- Stable `LLMAdapter` Protocol.
+- Stable `LLMAdapter` Protocol with `LLMConnectAdapter` behind the same factory when configured.
 - Real, user-controlled, contextually activated memory (Profile 0: directory/project scoped local JSON with kinds, activation_context, provenance, and retrospection outcomes as higher-order memory).
 - Automatic memory activation based on working directory/git root.
 - `cya retrospect` for structured reflection and goal setting, with production Profile 1 verbal lesson capture, review (`cya memory reflections`), and compaction.
@@ -77,7 +77,7 @@ See the individual workplans for detailed scope per slice.
 ## Explicitly Out of Scope (Current and Near-Term)
 
 - Full deep integration with the complete `phase-memory` profile/planner/graph system (current implementation uses a deliberate, user-visible local JSON store with contextual activation; deeper integration is planned future work per MemoryVision.md).
-- Real `llm-connect` client implementation (only the stable `LLMAdapter` Protocol contract + FakeLLMAdapter exists).
+- Deep llm-connect features beyond basic `execute_prompt` delegation (adaptive routing, cost dashboards, structured output schemas).
 - Deep semantic repository understanding or large-scale content analysis.
 - Automatic command execution (even "safe" suggestions) — explicit user confirmation remains mandatory for anything non-safe.
 - Rich multi-turn conversational state beyond lightweight scoped memory + retrospection.
@@ -109,7 +109,7 @@ Sibling project owners (llm-connect, phase-memory, State Hub) can read the workp
 
 ---
 
-**This SCOPE document reflects the state after CYA-WP-0004 (Dev-Head Install & Release Packaging).**
+**This SCOPE document reflects the state after CYA-WP-0008 (llm-connect Adapter Integration).**
 
 It remains intentionally narrower than the long-term vision in INTENT.md and MemoryVision.md, but now incorporates significant advances in contextual memory activation, user-driven retrospection/optimization loops, and proper packaging & distribution capabilities.
 

docs/cya-config.example.toml

@@ -0,0 +1,9 @@
+# Example ~/.config/cya/config.toml — placeholders only; do not commit secrets.
+
+[llm]
+adapter = "connect"
+backend = "openrouter"
+model = "anthropic/claude-sonnet-4"
+temperature = 0.3
+max_tokens = 2000
+api_key_env = "OPENROUTER_API_KEY"

docs/llm-connect-integration.md

@@ -0,0 +1,100 @@
+# llm-connect Integration (CYA-WP-0008)
+
+## Mapping: cya ↔ llm-connect
+
+| cya (`AssistanceRequest`) | llm-connect |
+|---------------------------|-------------|
+| `user_request` | User message body (after context framing) |
+| `context` (envelope + memory + `session_turns`) | Serialized into the prompt via `cya.llm.prompt.build_assistance_prompt` |
+| `hints` (`model`, `temperature`, `max_tokens`) | `RunConfig` fields for `execute_prompt` |
+| `AssistanceResponse.suggestion` | `LLMResponse.content` |
+| `AssistanceResponse.metadata` | `LLMResponse.model`, `usage`, `finish_reason` |
+
+llm-connect owns provider clients (`create_adapter`), API key resolution, retries, and
+token usage. `cya` never imports vendor SDKs directly.
+
+## Configuration
+
+User config: `~/.config/cya/config.toml`
+
+```toml
+[llm]
+adapter = "connect"       # "connect" | "fake" (default: fake when absent)
+backend = "openrouter"    # openrouter | openai | gemini | claude-code | mock
+model = "anthropic/claude-sonnet-4"
+temperature = 0.3
+max_tokens = 2000
+api_key_env = "OPENROUTER_API_KEY"   # optional override
+# system_prompt = "..."              # optional; uses cya default when omitted
+```
+
+Optional project override: `.cya.toml` (same `[llm]` section; merged over user config).
+
+Environment overrides:
+
+| Variable | Purpose |
+|----------|---------|
+| `CYA_LLM_ADAPTER` | `connect` or `fake` |
+| `CYA_LLM_BACKEND` / `CYA_LLM_PROVIDER` | Provider name |
+| `CYA_LLM_MODEL` | Model id |
+
+CLI: `cya --offline "..."` forces `FakeLLMAdapter`.
+
+## Session context budget (multi-turn / `cya shell`)
+
+Recent turns are passed in `AssistanceRequest.context["session_turns"]` as
+`{"user": "...", "assistant": "..."}` records.
+
+Bounds (see `cya.config`):
+
+- **Max turns:** 10
+- **Max characters:** 4000 (total across included turns)
+
+Older or oversized history is dropped from the prompt automatically.
+
+## Credential routing
+
+Do **not** commit API keys. Before requesting secrets, route custody:
+
+```bash
+warden route find "OpenRouter API key" --json
+warden route show <catalog-id> --json
+```
+
+Typical ownership:
+
+| Need | Owner | ops-warden executes? |
+|------|-------|----------------------|
+| `OPENROUTER_API_KEY` | OpenBao (`railiance-platform`) | No — route only |
+| `OPENAI_API_KEY` | OpenBao | No — route only |
+| `GEMINI_API_KEY` | OpenBao | No — route only |
+
+llm-connect resolves keys via `resolve_api_key()` (explicit arg → env var → project key file).
+
+## Adapter selection
+
+`cya.llm.factory.get_adapter()` is the single factory for one-shot and shell paths:
+
+1. `--offline` or `CYA_LLM_ADAPTER=fake` → `FakeLLMAdapter`
+2. `adapter = "connect"` in config/env → `LLMConnectAdapter` (graceful degrade on failure)
+3. Otherwise → `FakeLLMAdapter` (current default)
+
+## Installation
+
+```bash
+make dev-install
+pip install -e ~/llm-connect    # sibling checkout
+```
+
+Optional extra group (placeholder for packaging): `pip install -e ".[llm]"`.
+
+## Tests
+
+- Default CI: `make test` — mocks llm-connect; no network.
+- Manual live check: `pytest -m llm_live` (requires configured API key).
+
+## Known gaps
+
+- Structured JSON output schema not enforced yet (free-form model text).
+- `claude-code` backend does not require an API key; other backends do.
+- Per-directory `.cya.toml` overrides user config but does not yet mirror llm-connect's full 7-layer resolution.

pyproject.toml

@@ -15,6 +15,7 @@ authors = [
 dependencies = [
   "typer[standard]>=0.12.0",
   "rich>=13.0.0",
+  "tomli>=2.0.0; python_version<'3.11'",
 ]
 
 [project.optional-dependencies]
@@ -26,6 +27,9 @@ dev = [
 test = [
   "pytest>=8.0",
 ]
+llm = [
+  # Install llm-connect from a sibling checkout, e.g. pip install -e ~/llm-connect
+]
 
 [project.scripts]
 cya = "cya.cli.main:run"
@@ -57,6 +61,7 @@ python_functions = ["test_*"]
 addopts = "-q --tb=short"
 markers = [
     "safety: core safety and risk classifier invariants (always run)",
+    "llm_live: live llm-connect inference (requires API key; manual runs only)",
 ]
 
 [tool.setuptools_scm]

src/cya/cli/main.py

@@ -66,6 +66,11 @@ def main(
         "-n",
         help="Preview mode — do not perform any actions (stub in T01).",
     ),
+    offline: bool = typer.Option(
+        False,
+        "--offline",
+        help="Use the deterministic FakeLLMAdapter (no llm-connect / no API keys).",
+    ),
     version: bool = typer.Option(
         None,
         "--version",
@@ -106,6 +111,7 @@ def main(
         request,
         explain_context=explain_context,
         dry_run=dry_run,
+        offline=offline,
     )
 
 

src/cya/config.py

@@ -0,0 +1,174 @@
+"""User configuration for cya (CYA-WP-0008-T03).
+
+Reads ``~/.config/cya/config.toml`` and optional project ``.cya.toml``.
+Environment variables override file values where noted.
+"""
+
+from __future__ import annotations
+
+import os
+import sys
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+_USER_CONFIG = Path.home() / ".config" / "cya" / "config.toml"
+_PROJECT_CONFIG_NAME = ".cya.toml"
+
+# Session context bounds (CYA-WP-0008-T04) — documented in docs/llm-connect-integration.md
+MAX_SESSION_TURNS = 10
+MAX_SESSION_CHARS = 4000
+
+
+def _load_toml(path: Path) -> dict[str, Any]:
+    if not path.is_file():
+        return {}
+    if sys.version_info >= (3, 11):
+        import tomllib
+
+        return tomllib.loads(path.read_text())
+    import tomli
+
+    return tomli.loads(path.read_bytes())
+
+
+def _find_project_config(start: Path | None = None) -> Path | None:
+    current = (start or Path.cwd()).resolve()
+    for directory in [current, *current.parents]:
+        candidate = directory / _PROJECT_CONFIG_NAME
+        if candidate.is_file():
+            return candidate
+    return None
+
+
+def _merge_llm_sections(*sources: dict[str, Any]) -> dict[str, Any]:
+    merged: dict[str, Any] = {}
+    for source in sources:
+        section = source.get("llm")
+        if isinstance(section, dict):
+            merged.update(section)
+    return merged
+
+
+@dataclass
+class LLMSettings:
+    """Resolved LLM adapter settings."""
+
+    adapter: str = "fake"  # "fake" | "connect"
+    backend: str = "openrouter"
+    model: str | None = None
+    temperature: float = 0.3
+    max_tokens: int = 2000
+    api_key_env: str | None = None
+    system_prompt: str | None = None
+    configured: bool = False
+    source: str = "default"
+
+    def to_hints(self) -> dict[str, Any]:
+        hints: dict[str, Any] = {
+            "backend": self.backend,
+            "temperature": self.temperature,
+            "max_tokens": self.max_tokens,
+        }
+        if self.model:
+            hints["model"] = self.model
+        if self.api_key_env:
+            hints["api_key_env"] = self.api_key_env
+        return hints
+
+
+def _coerce_float(value: Any, default: float) -> float:
+    try:
+        return float(value)
+    except (TypeError, ValueError):
+        return default
+
+
+def _coerce_int(value: Any, default: int) -> int:
+    try:
+        return int(value)
+    except (TypeError, ValueError):
+        return default
+
+
+def load_llm_settings(*, offline: bool = False) -> LLMSettings:
+    """Resolve LLM settings from env, user config, and project config."""
+    if offline:
+        return LLMSettings(adapter="fake", configured=False, source="--offline")
+
+    env_adapter = os.environ.get("CYA_LLM_ADAPTER", "").strip().lower()
+    if env_adapter in ("fake", "connect"):
+        base = LLMSettings(adapter=env_adapter, configured=env_adapter == "connect", source="CYA_LLM_ADAPTER")
+    else:
+        base = LLMSettings()
+
+    user_data = _load_toml(_USER_CONFIG)
+    project_path = _find_project_config()
+    project_data = _load_toml(project_path) if project_path else {}
+    merged = _merge_llm_sections(user_data, project_data)
+
+    if merged:
+        file_adapter = str(merged.get("adapter", "")).strip().lower()
+        if file_adapter in ("fake", "connect") and not env_adapter:
+            base.adapter = file_adapter
+            base.configured = file_adapter == "connect"
+            base.source = str(project_path or _USER_CONFIG)
+
+        backend = merged.get("backend") or merged.get("provider")
+        if backend:
+            base.backend = str(backend)
+            if not env_adapter and file_adapter != "fake":
+                base.adapter = "connect"
+                base.configured = True
+                base.source = str(project_path or _USER_CONFIG)
+
+        if merged.get("model"):
+            base.model = str(merged["model"])
+        base.temperature = _coerce_float(merged.get("temperature"), base.temperature)
+        base.max_tokens = _coerce_int(merged.get("max_tokens"), base.max_tokens)
+        if merged.get("api_key_env"):
+            base.api_key_env = str(merged["api_key_env"])
+        if merged.get("system_prompt"):
+            base.system_prompt = str(merged["system_prompt"])
+
+    env_backend = os.environ.get("CYA_LLM_BACKEND") or os.environ.get("CYA_LLM_PROVIDER")
+    if env_backend:
+        base.backend = env_backend.strip()
+        if base.adapter != "fake":
+            base.adapter = "connect"
+            base.configured = True
+            base.source = "CYA_LLM_BACKEND"
+
+    env_model = os.environ.get("CYA_LLM_MODEL")
+    if env_model:
+        base.model = env_model.strip()
+        if base.adapter != "fake":
+            base.adapter = "connect"
+            base.configured = True
+            base.source = "CYA_LLM_MODEL"
+
+    return base
+
+
+def bound_session_turns(
+    turns: list[dict[str, str]] | None,
+    *,
+    max_turns: int = MAX_SESSION_TURNS,
+    max_chars: int = MAX_SESSION_CHARS,
+) -> list[dict[str, str]]:
+    """Trim session history to a bounded token/line budget for the adapter."""
+    if not turns:
+        return []
+
+    recent = turns[-max_turns:]
+    bounded: list[dict[str, str]] = []
+    used = 0
+    for turn in recent:
+        user = turn.get("user", "")
+        assistant = turn.get("assistant", "")
+        chunk_len = len(user) + len(assistant)
+        if used + chunk_len > max_chars and bounded:
+            break
+        bounded.append({"user": user, "assistant": assistant})
+        used += chunk_len
+    return bounded

src/cya/llm/__init__.py

@@ -17,11 +17,15 @@ from .adapter import (
     LLMAdapter,
     FakeLLMAdapter,
 )
+from .connect_adapter import LLMConnectAdapter
+from .factory import get_adapter
 
 __all__ = [
     "AssistanceRequest",
     "AssistanceResponse",
     "LLMAdapter",
     "FakeLLMAdapter",
+    "LLMConnectAdapter",
+    "get_adapter",
 ]
 

src/cya/llm/connect_adapter.py

@@ -0,0 +1,138 @@
+"""llm-connect-backed adapter (CYA-WP-0008-T02)."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from cya.config import LLMSettings
+from cya.llm.adapter import AssistanceRequest, AssistanceResponse
+from cya.llm.prompt import build_assistance_prompt
+
+_PROVIDER_ENV_KEYS: dict[str, str] = {
+    "openrouter": "OPENROUTER_API_KEY",
+    "openai": "OPENAI_API_KEY",
+    "gemini": "GEMINI_API_KEY",
+}
+
+
+class LLMConnectAdapter:
+    """Delegates to llm-connect while satisfying cya's LLMAdapter protocol."""
+
+    def __init__(self, settings: LLMSettings) -> None:
+        self._settings = settings
+        self._client: Any | None = None
+        self._init_error: str | None = None
+        self._ensure_client()
+
+    def _ensure_client(self) -> None:
+        try:
+            from llm_connect import create_adapter
+            from llm_connect.config import resolve_api_key
+        except ImportError:
+            self._init_error = (
+                "llm-connect is not installed. Install with:\n"
+                "  pip install -e ~/llm-connect\n"
+                "or: pip install -e \".[llm]\" after adding llm-connect to your environment."
+            )
+            return
+
+        env_var = self._settings.api_key_env or _PROVIDER_ENV_KEYS.get(
+            self._settings.backend, "OPENROUTER_API_KEY"
+        )
+        api_key = resolve_api_key(env_var=env_var)
+        if self._settings.backend in ("openrouter", "openai", "gemini") and not api_key:
+            self._init_error = (
+                f"No API key found for backend {self._settings.backend!r} "
+                f"(checked env {env_var!r}).\n"
+                "Route credential custody via warden before requesting secrets:\n"
+                "  warden route find \"OpenRouter API key\" --json\n"
+                "Then export the key into your environment — never commit it to the repo."
+            )
+            return
+
+        try:
+            self._client = create_adapter(
+                provider=self._settings.backend,
+                model=self._settings.model,
+                api_key=api_key,
+                system_prompt=self._settings.system_prompt,
+            )
+        except Exception as exc:  # noqa: BLE001 — surface config errors to the user
+            self._init_error = f"Failed to initialize llm-connect adapter: {exc}"
+
+    def complete(self, request: AssistanceRequest) -> AssistanceResponse:
+        if self._init_error or self._client is None:
+            return self._degraded_response(self._init_error or "llm-connect client unavailable.")
+
+        try:
+            from llm_connect.models import RunConfig
+        except ImportError:
+            return self._degraded_response(self._init_error or "llm-connect not installed.")
+
+        system, user_prompt = build_assistance_prompt(
+            request,
+            system_prompt=self._settings.system_prompt,
+        )
+        hints = {**self._settings.to_hints(), **request.hints}
+        run_config = RunConfig(
+            model_name=hints.get("model") or self._settings.model or "anthropic/claude-sonnet-4",
+            temperature=float(hints.get("temperature", self._settings.temperature)),
+            max_tokens=int(hints.get("max_tokens", self._settings.max_tokens)),
+        )
+
+        # Re-create adapter when per-request system prompt differs (llm-connect stores it at init).
+        client = self._client
+        if system and not self._settings.system_prompt:
+            from llm_connect import create_adapter
+            from llm_connect.config import resolve_api_key
+
+            env_var = self._settings.api_key_env or _PROVIDER_ENV_KEYS.get(
+                self._settings.backend, "OPENROUTER_API_KEY"
+            )
+            api_key = resolve_api_key(env_var=env_var)
+            client = create_adapter(
+                provider=self._settings.backend,
+                model=self._settings.model,
+                api_key=api_key,
+                system_prompt=system,
+            )
+
+        try:
+            llm_response = client.execute_prompt(user_prompt, run_config)
+        except Exception as exc:  # noqa: BLE001 — user-facing degrade path
+            return self._degraded_response(
+                f"llm-connect request failed: {exc}",
+                partial_raw=str(exc),
+            )
+
+        content = (llm_response.content or "").strip()
+        return AssistanceResponse(
+            suggestion=content or "(empty model response)",
+            explanation="Response generated via llm-connect.",
+            rationale="Model inference using configured backend and bounded local context.",
+            risks=[],
+            raw_model_output=content,
+            metadata={
+                "adapter": "LLMConnectAdapter",
+                "backend": self._settings.backend,
+                "model": llm_response.model,
+                "usage": llm_response.usage,
+                "finish_reason": llm_response.finish_reason,
+            },
+        )
+
+    @staticmethod
+    def _degraded_response(message: str, *, partial_raw: str | None = None) -> AssistanceResponse:
+        return AssistanceResponse(
+            suggestion=(
+                "cya could not reach a configured LLM backend.\n\n"
+                f"{message}\n\n"
+                "Continuing in offline mode: re-run with `--offline` or configure "
+                "`~/.config/cya/config.toml` (see README)."
+            ),
+            explanation="Graceful degradation — no live inference was performed.",
+            rationale="llm-connect unavailable or misconfigured.",
+            risks=["No live model inference"],
+            raw_model_output=partial_raw,
+            metadata={"adapter": "LLMConnectAdapter", "degraded": True},
+        )

src/cya/llm/factory.py

@@ -0,0 +1,18 @@
+"""Adapter selection factory (CYA-WP-0008-T04)."""
+
+from __future__ import annotations
+
+from cya.config import LLMSettings, load_llm_settings
+from cya.llm.adapter import FakeLLMAdapter, LLMAdapter
+from cya.llm.connect_adapter import LLMConnectAdapter
+
+
+def get_adapter(*, offline: bool = False, settings: LLMSettings | None = None) -> LLMAdapter:
+    """Return the active LLMAdapter for one-shot and shell code paths."""
+    resolved = settings or load_llm_settings(offline=offline)
+    if resolved.adapter == "connect":
+        return LLMConnectAdapter(resolved)
+    return FakeLLMAdapter()
+
+
+__all__ = ["get_adapter", "load_llm_settings"]

src/cya/llm/prompt.py

@@ -0,0 +1,73 @@
+"""Prompt construction for llm-connect delegation (CYA-WP-0008)."""
+
+from __future__ import annotations
+
+import json
+from typing import Any
+
+from cya.llm.adapter import AssistanceRequest
+
+_DEFAULT_SYSTEM = """You are cya, a console-native assistant for practical local work from the shell.
+
+Help the user with command-line tasks: repository inspection, file workflows, command
+suggestion, command explanation, and local context summarization.
+
+Be concise and practical. When suggesting shell commands, explain risks briefly.
+Do not claim to have executed anything — the user runs commands themselves.
+Reference the provided context when it is relevant."""
+
+
+def default_system_prompt() -> str:
+    return _DEFAULT_SYSTEM
+
+
+def build_assistance_prompt(request: AssistanceRequest, *, system_prompt: str | None = None) -> tuple[str, str]:
+    """Return (system_prompt, user_prompt) for llm-connect execute_prompt."""
+    system = system_prompt or default_system_prompt()
+    parts: list[str] = []
+
+    context = request.context or {}
+    session_turns = context.get("session_turns")
+    if session_turns:
+        parts.append("## Recent conversation")
+        for turn in session_turns:
+            parts.append(f"User: {turn.get('user', '')}")
+            parts.append(f"Assistant: {turn.get('assistant', '')}")
+
+    envelope = {k: v for k, v in context.items() if k not in ("session_turns", "memory")}
+    if envelope:
+        parts.append("## Local context")
+        parts.append(_summarize_context(envelope))
+
+    memory = context.get("memory")
+    if isinstance(memory, dict) and memory.get("items"):
+        parts.append("## Activated memory")
+        for item in memory["items"][:8]:
+            parts.append(f"- [{item.get('kind', '?')}] {item.get('key', '?')}: {item.get('value', '')}")
+
+    parts.append("## Current request")
+    parts.append(request.user_request.strip())
+
+    return system, "\n\n".join(parts)
+
+
+def _summarize_context(envelope: dict[str, Any]) -> str:
+    """Compact, JSON-safe context summary to stay within prompt budget."""
+    summary: dict[str, Any] = {}
+    if envelope.get("cwd"):
+        summary["cwd"] = envelope["cwd"]
+    if envelope.get("git"):
+        git = envelope["git"]
+        summary["git"] = {
+            k: git[k]
+            for k in ("branch", "status_short", "workdir", "is_repo")
+            if k in git
+        }
+    if envelope.get("top_level"):
+        names = [e.get("name") for e in envelope["top_level"][:30] if e.get("name")]
+        summary["top_level"] = names
+    if envelope.get("env"):
+        summary["env"] = envelope["env"]
+    if envelope.get("notes"):
+        summary["notes"] = envelope["notes"][:5]
+    return json.dumps(summary, indent=2, default=str)

src/cya/orchestrator.py

@@ -48,7 +48,9 @@ from cya.memory.reflections import (
     session_provenance,
 )
 from cya.safety.risk import classify, get_user_confirmation
-from cya.llm.adapter import AssistanceRequest, FakeLLMAdapter
+from cya.config import bound_session_turns
+from cya.llm.adapter import AssistanceRequest
+from cya.llm.factory import get_adapter
 
 
 console = Console()
@@ -59,6 +61,8 @@ def handle_request(
     *,
     explain_context: bool = False,
     dry_run: bool = False,
+    offline: bool = False,
+    session_turns: list[dict[str, str]] | None = None,
 ) -> None:
     """Primary orchestrator entry point.
 
@@ -158,10 +162,12 @@ def handle_request(
         console.print("[green]--dry-run acknowledged.[/green] No side-effects.")
         return
 
-    # 3. Call through the single LLMAdapter boundary (T04)
+    # 3. Call through the single LLMAdapter boundary (T04 / CYA-WP-0008)
-    adapter = FakeLLMAdapter()
+    adapter = get_adapter(offline=offline)
     ctx = (envelope.to_dict() if envelope else {}) or {}
     ctx["memory"] = memory  # T03: memory now in context passed to LLM (for personalization + explain)
+    if session_turns:
+        ctx["session_turns"] = bound_session_turns(session_turns)
     llm_request = AssistanceRequest(
         user_request=user_request,
         context=ctx,

tests/test_llm_connect_adapter.py

@@ -0,0 +1,111 @@
+"""LLMConnectAdapter unit tests with mocked llm-connect (CYA-WP-0008)."""
+
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from cya.config import LLMSettings
+from cya.llm.adapter import AssistanceRequest
+from cya.llm.connect_adapter import LLMConnectAdapter
+
+
+def _mock_llm_response(content: str = "Try: git status"):
+    resp = MagicMock()
+    resp.content = content
+    resp.model = "mock/model"
+    resp.usage = {"total_tokens": 42}
+    resp.finish_reason = "stop"
+    return resp
+
+
+@patch("llm_connect.create_adapter")
+@patch("llm_connect.config.resolve_api_key", return_value="test-key")
+def test_complete_delegates_to_llm_connect(mock_resolve, mock_create):
+    client = MagicMock()
+    client.execute_prompt.return_value = _mock_llm_response()
+    mock_create.return_value = client
+
+    settings = LLMSettings(adapter="connect", backend="mock", model="mock/model", configured=True)
+    adapter = LLMConnectAdapter(settings)
+    response = adapter.complete(
+        AssistanceRequest(user_request="show git status", context={"cwd": "/tmp"})
+    )
+
+    assert "git status" in response.suggestion.lower()
+    assert response.metadata.get("adapter") == "LLMConnectAdapter"
+    assert response.metadata.get("degraded") is not True
+    client.execute_prompt.assert_called_once()
+
+
+def test_graceful_degrade_when_llm_connect_missing(monkeypatch):
+    import builtins
+
+    real_import = builtins.__import__
+
+    def _import(name, *args, **kwargs):
+        if name == "llm_connect" or name.startswith("llm_connect."):
+            raise ImportError("no llm_connect")
+        return real_import(name, *args, **kwargs)
+
+    monkeypatch.setattr(builtins, "__import__", _import)
+    settings = LLMSettings(adapter="connect", backend="openrouter", configured=True)
+    adapter = LLMConnectAdapter(settings)
+    response = adapter.complete(AssistanceRequest(user_request="hello"))
+
+    assert response.metadata.get("degraded") is True
+    assert "llm-connect" in response.suggestion
+
+
+@patch("llm_connect.create_adapter")
+@patch("llm_connect.config.resolve_api_key", return_value=None)
+def test_graceful_degrade_when_api_key_missing(mock_resolve, mock_create):
+    settings = LLMSettings(adapter="connect", backend="openrouter", configured=True)
+    adapter = LLMConnectAdapter(settings)
+    response = adapter.complete(AssistanceRequest(user_request="hello"))
+
+    assert response.metadata.get("degraded") is True
+    assert "API key" in response.suggestion
+    mock_create.assert_not_called()
+
+
+@patch("llm_connect.create_adapter")
+@patch("llm_connect.config.resolve_api_key", return_value="test-key")
+def test_session_turns_included_in_prompt(mock_resolve, mock_create):
+    client = MagicMock()
+    client.execute_prompt.return_value = _mock_llm_response("ok")
+    mock_create.return_value = client
+
+    settings = LLMSettings(adapter="connect", backend="mock", configured=True)
+    adapter = LLMConnectAdapter(settings)
+    adapter.complete(
+        AssistanceRequest(
+            user_request="follow up",
+            context={
+                "session_turns": [{"user": "first", "assistant": "reply"}],
+            },
+        )
+    )
+
+    _prompt_arg, _ = client.execute_prompt.call_args[0]
+    assert "first" in _prompt_arg
+    assert "follow up" in _prompt_arg
+
+
+@pytest.mark.llm_live
+def test_live_openrouter_smoke():
+    """Manual verification only — skipped unless OPENROUTER_API_KEY is set."""
+    import os
+
+    if not os.environ.get("OPENROUTER_API_KEY"):
+        pytest.skip("OPENROUTER_API_KEY not set")
+
+    settings = LLMSettings(
+        adapter="connect",
+        backend="openrouter",
+        model="anthropic/claude-sonnet-4",
+        configured=True,
+    )
+    adapter = LLMConnectAdapter(settings)
+    response = adapter.complete(AssistanceRequest(user_request="Reply with exactly: pong"))
+    assert response.metadata.get("degraded") is not True
+    assert response.suggestion

tests/test_llm_factory.py

@@ -0,0 +1,67 @@
+"""Adapter factory and config resolution (CYA-WP-0008)."""
+
+import os
+from pathlib import Path
+
+import pytest
+
+from cya.config import bound_session_turns, load_llm_settings
+from cya.llm.adapter import FakeLLMAdapter
+from cya.llm.connect_adapter import LLMConnectAdapter
+from cya.llm.factory import get_adapter
+
+
+def test_default_adapter_is_fake(monkeypatch):
+    monkeypatch.delenv("CYA_LLM_ADAPTER", raising=False)
+    monkeypatch.setattr("cya.config._USER_CONFIG", Path("/nonexistent/config.toml"))
+    adapter = get_adapter()
+    assert isinstance(adapter, FakeLLMAdapter)
+
+
+def test_offline_forces_fake(monkeypatch, tmp_path):
+    cfg = tmp_path / "config.toml"
+    cfg.write_text('[llm]\nadapter = "connect"\nbackend = "openrouter"\n')
+    monkeypatch.setattr("cya.config._USER_CONFIG", cfg)
+    adapter = get_adapter(offline=True)
+    assert isinstance(adapter, FakeLLMAdapter)
+
+
+def test_connect_adapter_when_configured(monkeypatch, tmp_path):
+    cfg = tmp_path / "config.toml"
+    cfg.write_text('[llm]\nadapter = "connect"\nbackend = "mock"\n')
+    monkeypatch.setattr("cya.config._USER_CONFIG", cfg)
+    adapter = get_adapter()
+    assert isinstance(adapter, LLMConnectAdapter)
+
+
+def test_env_adapter_override(monkeypatch):
+    monkeypatch.setenv("CYA_LLM_ADAPTER", "connect")
+    monkeypatch.setenv("CYA_LLM_BACKEND", "mock")
+    adapter = get_adapter()
+    assert isinstance(adapter, LLMConnectAdapter)
+
+
+def test_load_llm_settings_merges_project_config(monkeypatch, tmp_path):
+    user_cfg = tmp_path / "user.toml"
+    user_cfg.write_text('[llm]\nbackend = "openrouter"\nmodel = "from-user"\n')
+    project_cfg = tmp_path / ".cya.toml"
+    project_cfg.write_text('[llm]\nmodel = "from-project"\n')
+    monkeypatch.setattr("cya.config._USER_CONFIG", user_cfg)
+    monkeypatch.setattr("cya.config._find_project_config", lambda start=None: project_cfg)
+
+    settings = load_llm_settings()
+    assert settings.backend == "openrouter"
+    assert settings.model == "from-project"
+    assert settings.adapter == "connect"
+
+
+def test_bound_session_turns_limits():
+    turns = [
+        {"user": "a" * 1000, "assistant": "b" * 1000},
+        {"user": "c" * 1000, "assistant": "d" * 1000},
+        {"user": "e", "assistant": "f"},
+    ]
+    bounded = bound_session_turns(turns, max_turns=10, max_chars=2500)
+    assert len(bounded) >= 1
+    total = sum(len(t["user"]) + len(t["assistant"]) for t in bounded)
+    assert total <= 2500 or len(bounded) == 1

tests/test_llm_prompt.py

@@ -0,0 +1,22 @@
+"""Prompt builder tests."""
+
+from cya.llm.adapter import AssistanceRequest
+from cya.llm.prompt import build_assistance_prompt
+
+
+def test_build_assistance_prompt_includes_context_and_request():
+    system, user = build_assistance_prompt(
+        AssistanceRequest(
+            user_request="list files",
+            context={
+                "cwd": "/home/user/proj",
+                "session_turns": [{"user": "hi", "assistant": "hello"}],
+                "memory": {"items": [{"kind": "preference", "key": "style", "value": "concise"}]},
+            },
+        )
+    )
+    assert "cya" in system.lower()
+    assert "list files" in user
+    assert "/home/user/proj" in user
+    assert "hi" in user
+    assert "concise" in user

workplans/CYA-WP-0008-llm-connect-adapter-integration.md

@@ -4,7 +4,7 @@ type: workplan
 title: "llm-connect Adapter Integration for Production Assistance"
 domain: capabilities
 repo: can-you-assist
-status: ready
+status: finished
 owner: grok
 topic_slug: foerster-capabilities
 created: "2026-06-22"
@@ -50,7 +50,7 @@ llm-connect. Credential routing via `warden route` before requesting secrets.
 
 ```task
 id: CYA-WP-0008-T01
-status: todo
+status: done
 priority: high
 state_hub_task_id: "483d13bb-aabe-48ad-96c2-8df83de5f442"
 ```
@@ -62,11 +62,13 @@ Identify config surface (TOML keys, env vars). Note gaps requiring llm-connect c
 - Short integration note in `docs/` or workplan appendix.
 - Credential route catalog id(s) documented via `warden route find`.
 
+**Delivered:** `docs/llm-connect-integration.md`
+
 ### T02 — Implement `LLMConnectAdapter`
 
 ```task
 id: CYA-WP-0008-T02
-status: todo
+status: done
 priority: high
 state_hub_task_id: "0fc17ad5-d90b-4ad1-b060-a1a2f9c25ea8"
 ```
@@ -80,11 +82,13 @@ New class in `src/cya/llm/` implementing `LLMAdapter`:
 **Acceptance criteria:**
 - Protocol-compliant; swap via config or env (`CYA_LLM_ADAPTER=connect|fake`).
 
+**Delivered:** `src/cya/llm/connect_adapter.py`, `src/cya/llm/factory.py`
+
 ### T03 — Configuration and developer ergonomics
 
 ```task
 id: CYA-WP-0008-T03
-status: todo
+status: done
 priority: medium
 state_hub_task_id: "e8470a37-ecec-42f1-920b-ccd8b98b5512"
 ```
@@ -97,11 +101,13 @@ state_hub_task_id: "e8470a37-ecec-42f1-920b-ccd8b98b5512"
 - Operator can configure adapter without editing source.
 - No secrets committed; example config uses placeholders.
 
+**Delivered:** `src/cya/config.py`, `docs/cya-config.example.toml`, README section
+
 ### T04 — Orchestrator and shell integration
 
 ```task
 id: CYA-WP-0008-T04
-status: todo
+status: done
 priority: high
 state_hub_task_id: "f2781963-fecf-4576-96de-bd745df271a0"
 ```
@@ -116,11 +122,13 @@ Wire `handle_request()` and CYA-WP-0007 shell turns to adapter selection:
 - One-shot and shell paths use same adapter factory.
 - Session context bounded (token/line budget documented).
 
+**Delivered:** `get_adapter()` wired in orchestrator; `session_turns` + `bound_session_turns()` ready for CYA-WP-0007 shell
+
 ### T05 — Tests and offline CI strategy
 
 ```task
 id: CYA-WP-0008-T05
-status: todo
+status: done
 priority: high
 state_hub_task_id: "32de980b-1a24-4159-9550-7c516570cae3"
 ```
@@ -133,11 +141,13 @@ state_hub_task_id: "32de980b-1a24-4159-9550-7c516570cae3"
 - `make test` passes without network or API keys.
 - Live test documented for operator manual verification.
 
+**Delivered:** `tests/test_llm_factory.py`, `tests/test_llm_connect_adapter.py`, `tests/test_llm_prompt.py`
+
 ### T06 — Documentation and SCOPE update
 
 ```task
 id: CYA-WP-0008-T06
-status: todo
+status: done
 priority: medium
 state_hub_task_id: "2d152d4b-e4b2-4a94-8f85-d8f033e55d5f"
 ```
@@ -151,7 +161,7 @@ Update README, SCOPE.md (remove "only FakeLLMAdapter" where accurate), AGENTS.md
 
 ```task
 id: CYA-WP-0008-T07
-status: todo
+status: done
 priority: low
 state_hub_task_id: "2fb42517-b2df-43d3-8195-f02d310107dc"
 ```
@@ -166,4 +176,4 @@ state_hub_task_id: "2fb42517-b2df-43d3-8195-f02d310107dc"
 
 ---
 
-**Status note:** `ready` on 2026-06-22. Can start T01–T03 in parallel with CYA-WP-0007 T02–T04.
+**Status note:** `finished` on 2026-06-22. Integration doc: `docs/llm-connect-integration.md`.