v3.8.1: update CHANGELOG.md + README.md with codebuff docs

README.md

@@ -544,13 +544,27 @@ The launcher generates model catalog JSON with dual field naming to satisfy both
 | OpenCode Zen | OpenAI-compat | `https://opencode.ai/zen/v1` |
 | OpenCode Go | OpenAI-compat | `https://opencode.ai/zen/go/v1` |
 | Command Code | Command Code | `https://api.commandcode.ai` |
+| **Codebuff** | **Codebuff** | `https://codebuff.com` *(free DeepSeek/Kimi)* |
 | Crof.ai | OpenAI-compat | `https://crof.ai/v1` |
+| OpenAdapter | OpenAI-compat | `https://api.openadapter.in/v1` |
 | NVIDIA NIM | OpenAI-compat | `https://integrate.api.nvidia.com/v1` |
 | Kilo.ai | OpenAI-compat | `https://api.kilo.ai/api/gateway` |
 | OpenRouter | OpenAI-compat | `https://openrouter.ai/api/v1` |
 | Z.AI | OpenAI-compat | `https://api.z.ai/api/coding/paas/v4` |
+| Google Gemini (API Key) | OpenAI-compat | `https://generativelanguage.googleapis.com/v1beta/openai` |
+| Google Gemini (OAuth) | Gemini OAuth | `cloudcode-pa.googleapis.com` |
+| Google Antigravity (OAuth) | Antigravity OAuth | `daily-cloudcode-pa.sandbox.googleapis.com` |
 | Custom | Any | User-defined |
 
+### Free Models (via Codebuff)
+Codebuff provides free access to these models — no API key needed:
+- **DeepSeek V4 Pro** — Smartest model
+- **DeepSeek V4 Flash** — Most efficient
+- **Kimi K2.6** — Balanced
+- **MiniMax M2.7** — Fastest
+
+*Requires: `npm install -g codebuff && codebuff login` (GitHub OAuth)*
+
 ---
 
 ## File Structure
@@ -581,6 +595,51 @@ README.md                         # This file
 
 ---
 
+### Phase 10: Codebuff Integration — Free AI for Everyone (v3.8.1)
+
+**Problem:** Users want access to powerful models like DeepSeek V4 Pro without paying API fees. Codebuff (by CodebuffAI) offers free access to premium models through their server, but it's a CLI tool — not an API you can plug into Codex Launcher.
+
+**The insight:** Codebuff's backend is a Next.js app with an OpenAI-compatible `/api/v1/chat/completions` endpoint. It uses agent-run lifecycle management and model-specific routing. If we replicate the agent run protocol in our proxy, we can tap into codebuff's free tier.
+
+**How Codebuff works internally:**
+1. User logs in via GitHub OAuth → session token stored in `~/.config/manicode/credentials.json`
+2. Each request creates an **agent run** via `POST /api/v1/agent-runs`
+3. Chat completions sent with `codebuff_metadata: {run_id, cost_mode: "free"}`
+4. Server routes to the correct upstream provider using its own API keys
+5. Agent run finished when request completes
+
+**What we built:**
+
+```
+Codex Request
+     │
+     ▼
+┌─────────────────────────────────┐
+│  translate-proxy.py              │
+│  _handle_codebuff()             │
+│                                  │
+│  1. Read token from credentials  │
+│  2. POST /api/v1/agent-runs      │──→  {action: "START", agentId}
+│  3. POST /api/v1/chat/completions │──→  {model, messages,
+│                                        codebuff_metadata: {
+│                                          run_id, cost_mode: "free"}}
+│  4. Stream response back to Codex   │←──  SSE events
+│  5. POST /api/v1/agent-runs       │──→  {action: "FINISH"}
+└─────────────────────────────────┘
+```
+
+**Free models available:**
+| Model | Agent ID | Notes |
+|-------|----------|-------|
+| DeepSeek V4 Pro | `base2-free-deepseek` | Smartest |
+| DeepSeek V4 Flash | `base2-free-deepseek-flash` | Most efficient |
+| Kimi K2.6 | `base2-free-kimi` | Balanced |
+| MiniMax M2.7 | `base2-free` | Fastest |
+
+**Bonus fix:** While investigating this, we discovered that `endpoints.json` had been overwritten with only 4 AG X entries, losing all 17+ provider presets. Restored all presets from proxy cache files.
+
+---
+
 ## Troubleshooting
 
 | Issue | Cause | Fix |