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feat(ai): real Anthropic/OpenAI streaming + agent routing (#117)

* feat(ai): add AI client abstraction with Anthropic and OpenAI implementations

Create provider-agnostic AIClient interface with types for messages and
streaming chunks. Implement AnthropicClient using @anthropic-ai/sdk with
message streaming via the stream() API, and OpenAIClient using the openai
SDK with async iterator streaming. Add AIClientFactory for provider-based
client creation. Includes comprehensive unit tests for all components.

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

* feat(ai): replace ChatService mock with real AI streaming

Remove simulateAgentResponse() and getAgentResponsePlaceholder() mock
methods. Integrate AIClientFactory with CredentialService to resolve the
user's AI provider and API key from secure storage. Stream real AI
responses through the existing message delta event system. Add error
handling that displays helpful messages when no API key is configured.

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

* feat(ai): add agent-specific system prompts for response routing

Create AgentPrompts module with specialized system prompts for each agent
type: Architect (system design), Implementer (code generation), Reviewer
(code review), and Tester (test writing). Wire ChatService to use
agent-specific prompts when calling the AI client, giving each agent a
distinct personality and area of expertise.

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

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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>

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