feat: initial bootstrap — structure, task_brief, blackboard, adapter bases, escalation, prompts

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

adapters/llm/anthropic.py

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+"""
+adapters/llm/anthropic.py
+Anthropic Claude adapter — Phase 2 stub.
+
+TODO (Phase 2):
+  - Implement complete() using the anthropic SDK (anthropic.Anthropic client).
+  - Implement resolve_model() by reading config/team.yaml capability_map.
+  - 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
+
+from adapters.base.llm import LLMAdapter
+
+
+class AnthropicAdapter(LLMAdapter):
+    """
+    LLM adapter for Anthropic Claude models.
+
+    Reads model configuration from config/team.yaml:
+        models.provider: anthropic
+        models.capability_map.reasoning-heavy.anthropic: claude-opus-4-6
+        models.capability_map.capable.anthropic: claude-sonnet-4-6
+        models.capability_map.fast-cheap.anthropic: claude-haiku-3-5
+    """
+
+    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.Anthropic() client.
+        raise NotImplementedError("AnthropicAdapter.__init__ is not yet implemented.")
+
+    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.
+        # Support context keys: system_prompt, max_tokens, temperature.
+        # Return response text as a plain string.
+        raise NotImplementedError("AnthropicAdapter.complete is not yet implemented.")
+
+    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.
+        raise NotImplementedError("AnthropicAdapter.resolve_model is not yet implemented.")