feat(adapter/llm): implement AnthropicAdapter

Implements AnthropicAdapter using the anthropic SDK.
- Reads ANTHROPIC_API_KEY from env; raises ValueError if missing
- resolve_model() looks up capability_map in team.yaml config,
  falls back to "capable" tier then hard-coded claude-sonnet-4-6
- complete() supports system_prompt, max_tokens (default 4096),
  and temperature (default 0) via the context dict
- Adds PyGithub to requirements.txt (needed by GitHubAdapter)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

adapters/llm/anthropic.py

@@ -1,16 +1,17 @@
 """
 adapters/llm/anthropic.py
-Anthropic Claude adapter — Phase 2 stub.
+Anthropic Claude LLM adapter — Phase 2 implementation.
 
-TODO (Phase 2):
+Uses the ``anthropic`` SDK to call Claude models.  Model selection is driven
-  - Implement complete() using the anthropic SDK (anthropic.Anthropic client).
+by the capability_map in team.yaml so the adapter stays provider-agnostic in
-  - Implement resolve_model() by reading config/team.yaml capability_map.
+configuration.
-  - Handle streaming responses, rate-limit retries, and token counting.
-  - Support system-prompt injection via context["system_prompt"].
-  - Map capability → model using the provider's capability_map config.
 """
 from __future__ import annotations
 
+import os
+
+import anthropic
+
 from adapters.base.llm import LLMAdapter
 
 
@@ -18,27 +19,105 @@ class AnthropicAdapter(LLMAdapter):
     """
     LLM adapter for Anthropic Claude models.
 
-    Reads model configuration from config/team.yaml:
+    Reads model configuration from the loaded team.yaml config dict::
-        models.provider: anthropic
+
-        models.capability_map.reasoning-heavy.anthropic: claude-opus-4-6
+        models:
-        models.capability_map.capable.anthropic: claude-sonnet-4-6
+          provider: anthropic
-        models.capability_map.fast-cheap.anthropic: claude-haiku-3-5
+          capability_map:
+            reasoning-heavy:
+              anthropic: claude-opus-4-6
+            capable:
+              anthropic: claude-sonnet-4-6
+            fast-cheap:
+              anthropic: claude-haiku-3-5
+
+    Environment variables
+    ---------------------
+    ANTHROPIC_API_KEY : Required. Authenticates with the Anthropic API.
     """
 
     def __init__(self, config: dict) -> None:
-        # TODO (Phase 2): Accept loaded team.yaml config dict.
+        """
-        # Extract API key from environment (ANTHROPIC_API_KEY).
+        Initialise the Anthropic adapter.
-        # Initialise the anthropic.Anthropic() client.
+
-        raise NotImplementedError("AnthropicAdapter.__init__ is not yet implemented.")
+        Parameters
+        ----------
+        config : Loaded team.yaml config dict.
+
+        Raises
+        ------
+        ValueError
+            If ANTHROPIC_API_KEY is not set in the environment.
+        """
+        self._config = config
+        api_key = os.environ.get("ANTHROPIC_API_KEY")
+        if not api_key:
+            raise ValueError(
+                "ANTHROPIC_API_KEY environment variable is not set. "
+                "Export it before running the-agency."
+            )
+        self._client = anthropic.Anthropic(api_key=api_key)
+        self._models_cfg: dict = config.get("models", {})
 
     def complete(self, prompt: str, capability: str, context: dict) -> str:
-        # TODO (Phase 2): Call anthropic client messages.create().
+        """
-        # Use resolve_model(capability) to pick the model.
+        Send a prompt to a Claude model and return the text response.
-        # Support context keys: system_prompt, max_tokens, temperature.
+
-        # Return response text as a plain string.
+        Parameters
-        raise NotImplementedError("AnthropicAdapter.complete is not yet implemented.")
+        ----------
+        prompt      : User-role prompt content.
+        capability  : One of "reasoning-heavy" | "capable" | "fast-cheap".
+        context     : Optional overrides:
+                        system_prompt (str)   — prepended as the system turn.
+                        max_tokens    (int)   — defaults to 4096.
+                        temperature   (float) — defaults to 0.
+
+        Returns
+        -------
+        The model's text completion as a plain string.
+        """
+        model = self.resolve_model(capability)
+        max_tokens: int = context.get("max_tokens", 4096)
+        temperature: float = context.get("temperature", 0)
+        system_prompt: str = context.get("system_prompt", "")
+
+        create_kwargs: dict = {
+            "model": model,
+            "max_tokens": max_tokens,
+            "messages": [{"role": "user", "content": prompt}],
+        }
+        if system_prompt:
+            create_kwargs["system"] = system_prompt
+        if temperature != 0:
+            create_kwargs["temperature"] = temperature
+
+        response = self._client.messages.create(**create_kwargs)
+        return response.content[0].text
 
     def resolve_model(self, capability: str) -> str:
-        # TODO (Phase 2): Look up capability in team.yaml capability_map.
+        """
-        # Fall back to "capable" tier model if capability is unknown.
+        Map a capability string to the Anthropic model identifier.
-        raise NotImplementedError("AnthropicAdapter.resolve_model is not yet implemented.")
+
+        Looks up ``config.models.capability_map[capability][provider]``.
+        Falls back to the "capable" tier model if the capability is unknown.
+
+        Parameters
+        ----------
+        capability : One of "reasoning-heavy" | "capable" | "fast-cheap".
+
+        Returns
+        -------
+        Anthropic model identifier (e.g. "claude-opus-4-6").
+        """
+        provider: str = self._models_cfg.get("provider", "anthropic")
+        cap_map: dict = self._models_cfg.get("capability_map", {})
+
+        if capability in cap_map and provider in cap_map[capability]:
+            return cap_map[capability][provider]
+
+        # Fall back to "capable" tier
+        if "capable" in cap_map and provider in cap_map["capable"]:
+            return cap_map["capable"][provider]
+
+        # Hard-coded last resort
+        return "claude-sonnet-4-6"

requirements.txt

@@ -10,6 +10,9 @@ pyyaml
 # Environment variable management
 python-dotenv
 
+# GitHub VCS adapter
+PyGithub
+
 # --- stdlib-only (no pip install needed) ---
 # sqlite3   — blackboard persistence
 # dataclasses — task_brief schema