chore(conductor): Add new track 'OpenAI Provider Integration'

conductor/tracks/openai_integration_20260308/spec.md

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+# Specification: OpenAI Provider Integration
+
+## Overview
+This track introduces support for OpenAI as a first-class model provider. It involves implementing a dedicated client in `src/ai_client.py`, updating configuration models, enhancing the GUI for provider selection, and integrating OpenAI into the tiered MMA architecture.
+
+## Functional Requirements
+
+### 1. Core AI Client (`src/ai_client.py`)
+- **OpenAI Integration:**
+    - Implement `_send_openai()` to handle communication with OpenAI's Chat Completions API.
+    - Implement a tool-call loop similar to `_send_gemini` and `_send_anthropic`.
+    - Support for function calling (using `tools` and `tool_choice`).
+    - Support for multi-modal input (Vision) by encoding screenshots as base64 data URIs in the message payload.
+    - Implement response streaming support compatible with the existing GUI mechanism.
+- **State Management:**
+    - Define module-level `_openai_client` and `_openai_history`.
+    - Ensure `ai_client.reset_session()` clears OpenAI-specific history.
+- **Error Handling:**
+    - Implement `_classify_openai_error()` to map OpenAI API exceptions to `ProviderError` types (`quota`, `rate_limit`, `auth`, `balance`, `network`).
+- **Model Discovery:**
+    - Implement `_list_openai_models()` to fetch available models from the API.
+
+### 2. Configuration & Authentication
+- **Credentials:**
+    - Update `_load_credentials()` to support an `[openai]` section in `credentials.toml`.
+    - Update the `FileNotFoundError` message in `_load_credentials()` to include the OpenAI example.
+- **Cost Tracking:**
+    - Update `src/cost_tracker.py` with pricing for `gpt-4o`, `gpt-4o-mini`, `o1`, and `o3-mini`.
+
+### 3. GUI & Controller Integration
+- **Provider Lists:**
+    - Add `openai` to the `PROVIDERS` list in `src/gui_2.py` and `src/app_controller.py`.
+- **Model Fetching:**
+    - Ensure `AppController._fetch_models()` correctly dispatches to `ai_client.list_models("openai")`.
+- **Settings UI:**
+    - The AI Settings panel should automatically handle the new provider and its models once added to the lists.
+
+### 4. MMA Orchestration
+- **Tier Support:**
+    - Verify that agents in all tiers (1-4) can be configured to use OpenAI models via the `mma_tier_usage` dict in `AppController`.
+    - Ensure `run_worker_lifecycle` in `src/multi_agent_conductor.py` correctly passes OpenAI model names to `ai_client.send()`.
+
+## Non-Functional Requirements
+- **Consistency:** Follow the established pattern of module-level singleton state in `ai_client.py`.
+- **Latency:** Ensure the tool-call loop overhead is minimal.
+- **Security:** Rigorously protect the OpenAI API key; ensure it is never logged or exposed in the GUI.
+
+## Acceptance Criteria
+- [ ] OpenAI can be selected as a provider in the AI Settings panel.
+- [ ] Models like `gpt-4o` and `gpt-4o-mini` are listed and selectable.
+- [ ] Agents can successfully use tools (e.g., `read_file`, `run_powershell`) using OpenAI models.
+- [ ] Screenshots are correctly processed and described by vision-capable OpenAI models.
+- [ ] Response streaming is functional in the Discussion panel.
+- [ ] Estimated costs for OpenAI calls are displayed in the MMA Dashboard.
+
+## Out of Scope
+- Support for the legacy `gpt-3.5-turbo-instruct` or other non-chat models.
+- Batch API support.
+- Fine-tuning management.