{"total_count": 236, "matches": [{"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_install_sh_setup_wizard_tty_probe.py", "line": 6, "content": "terminal available\" skip and then crashed on the ``< /dev/tty`` redirect a"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_install_sh_setup_wizard_tty_probe.py", "line": 7, "content": "few lines later, aborting the entire image build. The fix replaces every"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_install_sh_setup_wizard_tty_probe.py", "line": 8, "content": "existence-based check that guards a subsequent ``< /dev/tty`` redirect with"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 19, "content": "    # Use a specific toolset distribution"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 20, "content": "    python batch_runner.py --dataset_file=data.jsonl --batch_size=10 --run_name=my_run --distribution=image_gen"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 21, "content": "\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 254, "content": "        prompt_index (int): Index of prompt in dataset"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 255, "content": "        prompt_data (Dict): Prompt data containing 'prompt' field and optional 'image' field"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 256, "content": "        batch_num (int): Batch number"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 264, "content": "    "}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 265, "content": "    # Per-prompt container image override: if the dataset row has an 'image' field,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 266, "content": "    # register it for this task's sandbox. Works with Docker, Modal, Singularity, and Daytona."}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 267, "content": "    container_image = prompt_data.get(\"image\") or prompt_data.get(\"docker_image\")"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 268, "content": "    if container_image:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 269, "content": "        # Verify the image is accessible before spending tokens on the agent loop."}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 270, "content": "        # For Docker: check local cache, then try pulling."}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 276, "content": "                probe = _sp.run("}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 277, "content": "                    [\"docker\", \"image\", \"inspect\", container_image],"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 278, "content": "                    capture_output=True, timeout=10,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 281, "content": "                    if config.get(\"verbose\"):"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 282, "content": "                        print(f\"   Prompt {prompt_index}: Pulling docker image {container_image}...\", flush=True)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 283, "content": "                    pull = _sp.run("}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 284, "content": "                        [\"docker\", \"pull\", container_image],"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 285, "content": "                        capture_output=True, text=True, timeout=600,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 290, "content": "                            \"prompt_index\": prompt_index,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 291, "content": "                            \"error\": f\"Docker image not available: {container_image}\\n{pull.stderr[:500]}\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 292, "content": "                            \"trajectory\": None,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 300, "content": "                if config.get(\"verbose\"):"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 301, "content": "                    print(f\"   Prompt {prompt_index}: Docker image check failed: {img_err}\", flush=True)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 302, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 304, "content": "        overrides = {"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 305, "content": "            \"docker_image\": container_image,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 306, "content": "            \"modal_image\": container_image,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 307, "content": "            \"singularity_image\": f\"docker://{container_image}\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 308, "content": "            \"daytona_image\": container_image,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 309, "content": "        }"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 313, "content": "        if config.get(\"verbose\"):"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 314, "content": "            print(f\"   Prompt {prompt_index}: Using container image {container_image}\")"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 315, "content": "    "}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 1008, "content": "        # This includes both old batches (from previous runs) and new batches (from resume)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 1009, "content": "        # Also filter out corrupted entries (where model generated invalid tool names)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 1010, "content": "        combined_file = self.output_dir / \"trajectories.jsonl\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 1188, "content": "        # Use specific distribution"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 1189, "content": "        python batch_runner.py --dataset_file=data.jsonl --batch_size=10 --run_name=image_test --distribution=image_gen"}, {"path": "/home/ubuntu/.hermes/hermes-agent/batch_runner.py", "line": 1190, "content": "        "}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 151, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 152, "content": "    Finds: multi-part image/file content blocks, MEDIA: tags in text,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 153, "content": "    image URLs, and file references."}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 154, "content": "    \"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 157, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 158, "content": "    # Multi-part content blocks (image_url, file, etc.)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 159, "content": "    if isinstance(content, list):"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 163, "content": "            ptype = part.get(\"type\", \"\")"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 164, "content": "            if ptype == \"image_url\":"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 165, "content": "                url = part.get(\"image_url\", {}).get(\"url\", \"\") if isinstance(part.get(\"image_url\"), dict) else \"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 166, "content": "                if url:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 167, "content": "                    attachments.append({\"type\": \"image\", \"url\": url})"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 168, "content": "            elif ptype == \"image\":"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 169, "content": "                url = part.get(\"url\", part.get(\"source\", {}).get(\"url\", \"\"))"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 170, "content": "                if url:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 171, "content": "                    attachments.append({\"type\": \"image\", \"url\": url})"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 172, "content": "            elif ptype not in {\"text\",}:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 624, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 625, "content": "        Extracts images, media files, and other non-text content blocks"}, {"path": "/home/ubuntu/.hermes/hermes-agent/mcp_serve.py", "line": 626, "content": "        from the specified message."}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 119, "content": "@pytest.mark.asyncio"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 120, "content": "async def test_generate_summary_async_kimi_omits_temperature():"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 121, "content": "    \"\"\"Kimi models should have temperature omitted — server manages it.\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 140, "content": "    metrics = TrajectoryMetrics()"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 141, "content": "    result = await compressor._generate_summary_async(\"tool output\", metrics)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 142, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 147, "content": "@pytest.mark.asyncio"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 148, "content": "async def test_generate_summary_async_public_moonshot_kimi_k2_5_omits_temperature():"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 149, "content": "    \"\"\"kimi-k2.5 on the public Moonshot API should not get a forced temperature.\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 169, "content": "    metrics = TrajectoryMetrics()"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 170, "content": "    result = await compressor._generate_summary_async(\"tool output\", metrics)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 171, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 176, "content": "@pytest.mark.asyncio"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 177, "content": "async def test_generate_summary_async_public_moonshot_cn_kimi_k2_5_omits_temperature():"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 178, "content": "    \"\"\"kimi-k2.5 on api.moonshot.cn should not get a forced temperature.\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 198, "content": "    metrics = TrajectoryMetrics()"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 199, "content": "    result = await compressor._generate_summary_async(\"tool output\", metrics)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tests/test_trajectory_compressor_async.py", "line": 200, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 37, "content": "    \"read_file\", \"write_file\", \"patch\", \"search_files\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 38, "content": "    # Vision + image generation"}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 39, "content": "    \"vision_analyze\", \"image_generate\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 40, "content": "    # Skills"}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 44, "content": "    \"browser_type\", \"browser_scroll\", \"browser_back\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 45, "content": "    \"browser_press\", \"browser_get_images\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 46, "content": "    \"browser_vision\", \"browser_console\", \"browser_cdp\", \"browser_dialog\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 103, "content": "    "}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 104, "content": "    \"image_gen\": {"}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 105, "content": "        \"description\": \"Creative generation tools (images)\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 106, "content": "        \"tools\": [\"image_generate\"],"}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 107, "content": "        \"includes\": []"}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 111, "content": "        \"description\": ("}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 112, "content": "            \"Video generation tools. Single ``video_generate`` tool covers \""}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 113, "content": "            \"text-to-video (prompt only) and image-to-video (prompt + \""}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 114, "content": "            \"image_url) — the active backend auto-routes. Configure via \""}, {"path": "/home/ubuntu/.hermes/hermes-agent/toolsets.py", "line": 115, "content": "            \"``hermes tools`` → Video Generation.\""}], "truncated": true}

[Hint: Results truncated. Use offset=100 to see more, or narrow with a more specific pattern or file_glob.]


{"total_count": 270, "matches": [{"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 2, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 3, "content": "Identical model catalog and tier semantics to the ``openai`` image-gen plugin"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 4, "content": "(``gpt-image-2`` at low/medium/high quality), but routes the request through"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 5, "content": "the Codex Responses API ``image_generation`` tool instead of the"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 6, "content": "``images.generate`` REST endpoint. This lets users who are already"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 10, "content": "Selection precedence for the tier (first hit wins):"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 11, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 12, "content": "1. ``OPENAI_IMAGE_MODEL`` env var (escape hatch for scripts / tests)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 13, "content": "2. ``image_gen.openai-codex.model`` in ``config.yaml``"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 14, "content": "3. ``image_gen.model`` in ``config.yaml`` (when it's one of our tier IDs)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 15, "content": "4. :data:`DEFAULT_MODEL` — ``gpt-image-2-medium``"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 16, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 17, "content": "Output is saved as PNG under ``$HERMES_HOME/cache/images/``."}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 23, "content": "from typing import Any, Dict, List, Optional, Tuple"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 24, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 25, "content": "from agent.image_gen_provider import ("}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 26, "content": "    DEFAULT_ASPECT_RATIO,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 27, "content": "    ImageGenProvider,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 39, "content": "# ---------------------------------------------------------------------------"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 40, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 41, "content": "API_MODEL = \"gpt-image-2\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 42, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 43, "content": "_MODELS: Dict[str, Dict[str, Any]] = {"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 44, "content": "    \"gpt-image-2-low\": {"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 45, "content": "        \"display\": \"GPT Image 2 (Low)\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 46, "content": "        \"speed\": \"~15s\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 48, "content": "        \"quality\": \"low\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 49, "content": "    },"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 50, "content": "    \"gpt-image-2-medium\": {"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 51, "content": "        \"display\": \"GPT Image 2 (Medium)\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 52, "content": "        \"speed\": \"~40s\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 54, "content": "        \"quality\": \"medium\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 55, "content": "    },"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 56, "content": "    \"gpt-image-2-high\": {"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 57, "content": "        \"display\": \"GPT Image 2 (High)\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 58, "content": "        \"speed\": \"~2min\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 62, "content": "}"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 63, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 64, "content": "DEFAULT_MODEL = \"gpt-image-2-medium\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 65, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 66, "content": "_SIZES = {"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 103, "content": "    import os"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 104, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 105, "content": "    env_override = os.environ.get(\"OPENAI_IMAGE_MODEL\")"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 106, "content": "    if env_override and env_override in _MODELS:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 107, "content": "        return env_override, _MODELS[env_override]"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 221, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 222, "content": "class OpenAICodexImageGenProvider(ImageGenProvider):"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 223, "content": "    \"\"\"gpt-image-2 routed through ChatGPT/Codex OAuth instead of an API key.\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 224, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 225, "content": "    @property"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 259, "content": "            \"name\": \"OpenAI (Codex auth)\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 260, "content": "            \"badge\": \"free\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 261, "content": "            \"tag\": \"gpt-image-2 via ChatGPT/Codex OAuth — no API key required\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 262, "content": "            \"env_vars\": [],"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 263, "content": "            \"post_setup_hint\": ("}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 280, "content": "                error=\"Prompt is required and must be a non-empty string\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", 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"/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 305, "content": "            )"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 313, "content": "                error=\"Could not initialize Codex image client\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 314, "content": "                error_type=\"auth_required\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 315, "content": "                provider=\"openai-codex\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 316, "content": "                model=tier_id,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 317, "content": "                prompt=prompt,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 331, "content": "                error=f\"OpenAI image generation via Codex auth failed: {exc}\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 332, "content": "                error_type=\"api_error\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 333, "content": "                provider=\"openai-codex\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 334, "content": "                model=tier_id,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 335, "content": "                prompt=prompt,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 341, "content": "                error=\"Codex response contained no image_generation_call 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"/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 355, "content": "                provider=\"openai-codex\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 356, "content": "                model=tier_id,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 357, "content": "                prompt=prompt,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 364, "content": "            prompt=prompt,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 365, "content": "            aspect_ratio=aspect,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 366, "content": "            provider=\"openai-codex\","}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 367, 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"/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/plugin.yaml", "line": 2, "content": "version: 1.0.0"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/plugin.yaml", "line": 3, "content": "description: \"OpenAI image generation backed by ChatGPT/Codex OAuth (gpt-image-2 via the Responses image_generation tool). Saves generated images to $HERMES_HOME/cache/images/.\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/plugin.yaml", "line": 4, "content": "author: NousResearch"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/plugin.yaml", "line": 5, "content": "kind: backend"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 1, "content": "\"\"\"OpenAI image generation backend."}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 2, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 3, "content": "Exposes OpenAI's ``gpt-image-2`` model at three quality tiers as an"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 4, "content": ":class:`ImageGenProvider` implementation. The tiers are implemented as"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 5, "content": "three virtual model IDs so the ``hermes tools`` model picker and the"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 6, "content": "``image_gen.model`` config key behave like any other multi-model backend:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 7, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 8, "content": "    gpt-image-2-low     ~15s   fastest, good for iteration"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 9, "content": "    gpt-image-2-medium  ~40s   default — balanced"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 10, "content": "    gpt-image-2-high    ~2min  slowest, highest fidelity"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 11, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 12, "content": "All three hit the same underlying API model (``gpt-image-2``) with a"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 13, "content": "different ``quality`` parameter. Output is base64 JSON → saved under"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 14, "content": "``$HERMES_HOME/cache/images/``."}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 16, "content": "Selection precedence (first hit wins):"}], "truncated": true}

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   185|    stream_processing_mode: async
   186|    trace: disabled
   187|auxiliary:
   188|  vision:
   189|    provider: openrouter
   190|    model: google/gemini-2.0-flash-001
   191|    base_url: ''
   192|    api_key: ''
   193|    timeout: 30
   194|    extra_body: {}
   195|    download_timeout: 30
   196|  web_extract:
   197|    provider: auto
   198|    model: ''
   199|    base_url: ''
   200|    api_key: ''
   201|    timeout: 30
   202|    extra_body: {}
   203|  compression:
   204|    provider: auto
   205|    model: google/gemini-3-flash-preview
   206|    base_url: ''
   207|    api_key: ''
   208|    timeout: 120
   209|    extra_body: {}
   210|  session_search:
   211|    provider: auto
   212|    model: ''
   213|    base_url: ''
   214|    api_key: ''
   215|    timeout: 30
   216|    extra_body: {}
   217|    max_concurrency: 3
   218|  skills_hub:
   219|    provider: auto
   220|    model: ''
   221|    base_url: ''
   222|    api_key: ''
   223|    timeout: 30
   224|    extra_body: {}
   225|  approval:
   226|    provider: auto
   227|    model: ''
   228|    base_url: ''
   229|    api_key: ''
   230|    timeout: 30
   231|    extra_body: {}
   232|  mcp:
   233|    provider: auto
   234|    model: ''
   235|    base_url: ''
   236|    api_key: ''
   237|    timeout: 30
   238|    extra_body: {}
   239|  title_generation:
   240|    provider: auto
   241|    model: ''
   242|    base_url: ''
   243|    api_key: ''
   244|    timeout: 30
   245|    extra_body: {}
   246|  triage_specifier:
   247|    provider: auto
   248|    model: ''
   249|    base_url: ''
   250|    api_key: ''
   251|    timeout: 120
   252|    extra_body: {}
   253|  curator:
   254|    provider: auto
   255|    model: ''
   256|    base_url: ''
   257|    api_key: ''
   258|    timeout: 600
   259|    extra_body: {}
   260|  flush_memories:
   261|    provider: auto
   262|    model: ''
   263|    base_url: ''
   264|    api_key: ''
   265|    timeout: 30
   266|    extra_body: {}
   267|display:
   268|  compact: false
   269|  personality: ''
   270|  resume_display: full
   271|  busy_input_mode: interrupt
   272|  tui_auto_resume_recent: false
   273|  bell_on_complete: false
   274|  show_reasoning: true
   275|

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^image_gen:|^[ ]+provider: openai-codex|^[ ]+model: gpt-image|openai-codex


Explanation:
**Considering image generation**

I could use image generation to test directly, but maybe it's unnecessary? I’m thinking about using a tiny prompt to verify. The user is asking for edits, so I want to activate the process efficiently. Generating a test does cost something, but I believe Codex might be free to use. I should keep the tool call low, though it seems like it might not support model quality. I might need to check the backend configuration with OpenAI Codex.


     1|name: openai-codex
     2|version: 1.0.0
     3|description: "OpenAI image generation backed by ChatGPT/Codex OAuth (gpt-image-2 via the Responses image_generation tool). Saves generated images to $HERMES_HOME/cache/images/."
     4|author: NousResearch
     5|kind: backend
     6|


{"total_count": 238, "matches": [{"path": "/home/ubuntu/.hermes/hermes-agent/plugins/web/brave_free/__init__.py", "line": 1, "content": "\"\"\"Brave Search (free tier) plugin — bundled, auto-loaded."}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/web/brave_free/__init__.py", "line": 2, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/web/brave_free/__init__.py", "line": 3, "content": "Mirrors the ``plugins/image_gen/openai/`` layout: ``provider.py`` holds the"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/web/brave_free/__init__.py", "line": 4, "content": "provider class, ``__init__.py::register(ctx)`` registers an instance."}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/web/brave_free/__init__.py", "line": 5, "content": "\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 23, "content": "from typing import Any, Dict, List, Optional, Tuple"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 24, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 25, "content": "from agent.image_gen_provider import ("}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 26, "content": "    DEFAULT_ASPECT_RATIO,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 27, "content": "    ImageGenProvider,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 86, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 87, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 88, "content": "def _load_image_gen_config() -> Dict[str, Any]:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 89, "content": "    \"\"\"Read ``image_gen`` from config.yaml (returns {} on any failure).\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 90, "content": "    try:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 95, "content": "        return section if isinstance(section, dict) else {}"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 96, "content": "    except Exception as exc:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 97, "content": "        logger.debug(\"Could not load image_gen config: %s\", exc)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 98, "content": "        return {}"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 99, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 107, "content": "        return env_override, _MODELS[env_override]"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 108, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 109, "content": "    cfg = _load_image_gen_config()"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 110, "content": "    sub = cfg.get(\"openai-codex\") if isinstance(cfg.get(\"openai-codex\"), dict) else {}"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 111, "content": "    candidate: Optional[str] = None"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 376, "content": "def register(ctx) -> None:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 377, "content": "    \"\"\"Plugin entry point — register the Codex-backed image-gen provider.\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai-codex/__init__.py", "line": 378, "content": "    ctx.register_image_gen_provider(OpenAICodexImageGenProvider())"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 28, "content": "from typing import Any, Dict, List, Optional, Tuple"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 29, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 30, "content": "from agent.image_gen_provider import ("}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 31, "content": "    DEFAULT_ASPECT_RATIO,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 32, "content": "    ImageGenProvider,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 89, "content": "        return section if isinstance(section, dict) else {}"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 90, "content": "    except Exception as exc:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 91, "content": "        logger.debug(\"Could not load image_gen config: %s\", exc)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 92, "content": "        return {}"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 93, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 301, "content": "def register(ctx) -> None:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 302, "content": "    \"\"\"Plugin entry point — wire ``OpenAIImageGenProvider`` into the registry.\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/openai/__init__.py", "line": 303, "content": "    ctx.register_image_gen_provider(OpenAIImageGenProvider())"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 24, "content": "import requests"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 25, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 26, "content": "from agent.image_gen_provider import ("}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 27, "content": "    DEFAULT_ASPECT_RATIO,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 28, "content": "    ImageGenProvider,"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 84, "content": "        return xai_section if isinstance(xai_section, dict) else {}"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 85, "content": "    except Exception as exc:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 86, "content": "        logger.debug(\"Could not load image_gen.xai config: %s\", exc)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 87, "content": "        return {}"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 88, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 309, "content": "def register(ctx: Any) -> None:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 310, "content": "    \"\"\"Register this provider with the image gen registry.\"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/image_gen/xai/__init__.py", "line": 311, "content": "    ctx.register_image_gen_provider(XAIImageGenProvider())"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 10, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 11, "content": "- ``plugins/`` is where third-party service integrations live (see"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 12, "content": "  ``plugins/image_gen/`` for the backend-provider pattern, ``plugins/"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 13, "content": "  disk-cleanup/`` for the standalone pattern). ``tools/`` is reserved"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 14, "content": "  for foundational capabilities (terminal, read_file, web_search, etc.)."}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 16, "content": "  for categories, flat ``plugins/<name>/`` for standalones) makes new"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 17, "content": "  service integrations a pattern contributors can copy."}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 18, "content": "- Bundled + ``kind: backend`` auto-loads on startup just like image_gen"}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 19, "content": "  backends — no user opt-in needed, no ``plugins.enabled`` config."}, {"path": "/home/ubuntu/.hermes/hermes-agent/plugins/spotify/__init__.py", "line": 20, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 540, "content": "                model_id = raw.strip()"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 541, "content": "    except Exception as exc:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 542, "content": "        logger.debug(\"Could not load image_gen.model from config: %s\", exc)"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 543, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 544, "content": "    # Env var escape hatch (undocumented; backward-compat for tests/scripts)."}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 823, "content": "    the historical behavior: shipping hermes with a FAL key configured"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 824, "content": "    should still expose the tool. The active selection among ready"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 825, "content": "    providers is resolved per-call by ``image_gen.provider``."}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 826, "content": "    \"\"\""}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 827, "content": "    try:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 838, "content": "    # Probe plugin providers. Discovery is idempotent and cheap."}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 839, "content": "    try:"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 840, "content": "        from agent.image_gen_registry import list_providers"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 841, "content": "        from hermes_cli.plugins import _ensure_plugins_discovered"}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 842, "content": ""}, {"path": "/home/ubuntu/.hermes/hermes-agent/tools/image_generation_tool.py", "line": 938, "content": ""}], "truncated": true}

[Hint: Results truncated. Use offset=80 to see more, or narrow with a more specific pattern or file_glob.]


   500|                f"  • Pick a different model via `hermes tools` → Image Generation."
   501|            ) from exc
   502|        raise
   503|
   504|
   505|def _extract_http_status(exc: BaseException) -> Optional[int]:
   506|    """Return an HTTP status code from httpx/fal exceptions, else None.
   507|
   508|    Defensive across exception shapes — httpx.HTTPStatusError exposes
   509|    ``.response.status_code`` while fal_client wrappers may expose
   510|    ``.status_code`` directly.
   511|    """
   512|    response = getattr(exc, "response", None)
   513|    if response is not None:
   514|        status = getattr(response, "status_code", None)
   515|        if isinstance(status, int):
   516|            return status
   517|    status = getattr(exc, "status_code", None)
   518|    if isinstance(status, int):
   519|        return status
   520|    return None
   521|
   522|
   523|# ---------------------------------------------------------------------------
   524|# Model resolution + payload construction
   525|# ---------------------------------------------------------------------------
   526|def _resolve_fal_model() -> tuple:
   527|    """Resolve the active FAL model from config.yaml (primary) or default.
   528|
   529|    Returns (model_id, metadata_dict). Falls back to DEFAULT_MODEL if the
   530|    configured model is unknown (logged as a warning).
   531|    """
   532|    model_id = ""
   533|    try:
   534|        from hermes_cli.config import load_config
   535|        cfg = load_config()
   536|        img_cfg = cfg.get("image_gen") if isinstance(cfg, dict) else None
   537|        if isinstance(img_cfg, dict):
   538|            raw = img_cfg.get("model")
   539|            if isinstance(raw, str):
   540|                model_id = raw.strip()
   541|    except Exception as exc:
   542|        logger.debug("Could not load image_gen.model from config: %s", exc)
   543|
   544|    # Env var escape hatch (undocumented; backward-compat for tests/scripts).
   545|    if not model_id:
   546|        model_id = os.getenv("FAL_IMAGE_MODEL", "").strip()
   547|
   548|    if not model_id:
   549|        return DEFAULT_MODEL, FAL_MODELS[DEFAULT_MODEL]
   550|
   551|    if model_id not in FAL_MODELS:
   552|        logger.warning(
   553|            "Unknown FAL model '%s' in config; falling back to %s",
   554|            model_id, DEFAULT_MODEL,
   555|        )
   556|        return DEFAULT_MODEL, FAL_MODELS[DEFAULT_MODEL]
   557|
   558|    return model_id, FAL_MODELS[model_id]
   559|
   560|
   561|def _build_fal_payload(
   562|    model_id: str,
   563|    prompt: str,
   564|    aspect_ratio: str = DEFAULT_ASPECT_RATIO,
   565|    seed: Optional[int] = None,
   566|    overrides: Optional[Dict[str, Any]] = None,
   567|) -> Dict[str, Any]:
   568|    """Build a FAL request payload for `model_id` from unified inputs.
   569|
   570|    Translates aspect_ratio into the model's native size spec (preset enum,
   571|    aspect-ratio enum, or GPT literal string), merges model defaults, applies
   572|    caller overrides, then filters to the model's ``supports`` whitelist.
   573|    """
   574|    meta = FAL_MODELS[model_id]
   575|    size_style = meta["size_style"]
   576|    sizes = meta["sizes"]
   577|
   578|    aspect = (aspect_ratio or DEFAULT_ASPECT_RATIO).lower().strip()
   579|    if aspect not in sizes:
   580|        aspect = DEFAULT_ASPECT_RATIO
   581|
   582|    payload: Dict[str, Any] = dict(meta.get("defaults", {}))
   583|    payload["prompt"] = (prompt or "").strip()
   584|
   585|    if size_style in {"image_size_preset", "gpt_literal"}:
   586|        payload["image_size"] = sizes[aspect]
   587|    elif size_style == "aspect_ratio":
   588|        payload["aspect_ratio"] = sizes[aspect]
   589|    else:
   590|        raise ValueError(f"Unknown size_style: {size_style!r}")
   591|
   592|    if seed is not None and isinstance(seed, int):
   593|        payload["seed"] = seed
   594|
   595|    if overrides:
   596|        for k, v in overrides.items():
   597|            if v is not None:
   598|                payload[k] = v
   599|
   600|    supports = meta["supports"]
   601|    return {k: v for k, v in payload.items() if k in supports}
   602|
   603|
   604|# ---------------------------------------------------------------------------
   605|# Upscaler
   606|# ---------------------------------------------------------------------------
   607|def _upscale_image(image_url: str, original_prompt: str) -> Optional[Dict[str, Any]]:
   608|    """Upscale an image using FAL.ai's Clarity Upscaler.
   609|
   610|    Returns upscaled image dict, or None on failure (caller falls back to
   611|    the original image).
   612|    """
   613|    try:
   614|        logger.info("Upscaling image with Clarity Upscaler...")
   615|
   616|        upscaler_arguments = {
   617|            "image_url": image_url,
   618|            "prompt": f"{UPSCALER_DEFAULT_PROMPT}, {original_prompt}",
   619|            "upscale_factor": UPSCALER_FACTOR,
   620|            "negative_prompt": UPSCALER_NEGATIVE_PROMPT,
   621|            "creativity": UPSCALER_CREATIVITY,
   622|            "resemblance": UPSCALER_RESEMBLANCE,
   623|            "guidance_scale": UPSCALER_GUIDANCE_SCALE,
   624|            "num_inference_steps": UPSCALER_NUM_INFERENCE_STEPS,
   625|            "enable_safety_checker": UPSCALER_SAFETY_CHECKER,
   626|        }
   627|
   628|        handler = _submit_fal_request(UPSCALER_MODEL, arguments=upscaler_arguments)
   629|        result = handler.get()
   630|
   631|        if result and "image" in result:
   632|            upscaled_image = result["image"]
   633|            logger.info(
   634|                "Image upscaled successfully to %sx%s",
   635|                upscaled_image.get("width", "unknown"),
   636|                upscaled_image.get("height", "unknown"),
   637|            )
   638|            return {
   639|                "url": upscaled_image["url"],
   640|

Use offset=640 to continue reading (showing 500-639 of 1065 lines)


   760|                    formatted_images.append(upscaled_image)
   761|                    continue
   762|                logger.warning("Using original image as fallback (upscale failed)")
   763|
   764|            original_image["upscaled"] = False
   765|            formatted_images.append(original_image)
   766|
   767|        if not formatted_images:
   768|            raise ValueError("No valid image URLs returned from API")
   769|
   770|        upscaled_count = sum(1 for img in formatted_images if img.get("upscaled"))
   771|        logger.info(
   772|            "Generated %s image(s) in %.1fs (%s upscaled) via %s",
   773|            len(formatted_images), generation_time, upscaled_count, model_id,
   774|        )
   775|
   776|        response_data = {
   777|            "success": True,
   778|            "image": formatted_images[0]["url"] if formatted_images else None,
   779|        }
   780|
   781|        debug_call_data["success"] = True
   782|        debug_call_data["images_generated"] = len(formatted_images)
   783|        debug_call_data["generation_time"] = generation_time
   784|        _debug.log_call("image_generate_tool", debug_call_data)
   785|        _debug.save()
   786|
   787|        return json.dumps(response_data, indent=2, ensure_ascii=False)
   788|
   789|    except Exception as e:
   790|        generation_time = (datetime.datetime.now() - start_time).total_seconds()
   791|        error_msg = f"Error generating image: {str(e)}"
   792|        logger.error("%s", error_msg, exc_info=True)
   793|
   794|        response_data = {
   795|            "success": False,
   796|            "image": None,
   797|            "error": str(e),
   798|            "error_type": type(e).__name__,
   799|        }
   800|
   801|        debug_call_data["error"] = error_msg
   802|        debug_call_data["generation_time"] = generation_time
   803|        _debug.log_call("image_generate_tool", debug_call_data)
   804|        _debug.save()
   805|
   806|        return json.dumps(response_data, indent=2, ensure_ascii=False)
   807|
   808|
   809|def check_fal_api_key() -> bool:
   810|    """True if the FAL.ai API key (direct or managed gateway) is available."""
   811|    return bool(fal_ke...ured() or _resolve_managed_fal_gateway())
   812|
   813|
   814|def check_image_generation_requirements() -> bool:
   815|    """True if any image gen backend is available.
   816|
   817|    Providers are considered in this order:
   818|
   819|    1. The in-tree FAL backend (FAL_KEY or managed gateway).
   820|    2. Any plugin-registered provider whose ``is_available()`` returns True.
   821|
   822|    Plugins win only when the in-tree FAL path is NOT ready, which matches
   823|    the historical behavior: shipping hermes with a FAL key configured
   824|    should still expose the tool. The active selection among ready
   825|    providers is resolved per-call by ``image_gen.provider``.
   826|    """
   827|    try:
   828|        if check_fal_api_key():
   829|            # Trigger the lazy fal_client import here as the SDK presence
   830|            # check. Raises ImportError if the optional ``fal-client``
   831|            # package isn't installed; the caller's except ImportError
   832|            # below catches that and continues to plugin probing.
   833|            _load_fal_client()
   834|            return True
   835|    except ImportError:
   836|        pass
   837|
   838|    # Probe plugin providers. Discovery is idempotent and cheap.
   839|    try:
   840|        from agent.image_gen_registry import list_providers
   841|        from hermes_cli.plugins import _ensure_plugins_discovered
   842|
   843|        _ensure_plugins_discovered()
   844|        for provider in list_providers():
   845|            try:
   846|                if provider.is_available():
   847|                    return True
   848|            except Exception:
   849|                continue
   850|    except Exception:
   851|        pass
   852|
   853|    return False
   854|
   855|
   856|# ---------------------------------------------------------------------------
   857|# Demo / CLI entry point
   858|# ---------------------------------------------------------------------------
   859|if __name__ == "__main__":
   860|    print("🎨 Image Generation Tools — FAL.ai multi-model support")
   861|    print("=" * 60)
   862|
   863|    if not check_fal_api_key():
   864|        print("❌ FAL_KEY environment variable not set")
   865|        print("   Set it via: export FAL_KEY='your-key-here'")
   866|        print("   Get a key: https://fal.ai/")
   867|        raise SystemExit(1)
   868|    print("✅ FAL.ai API key found")
   869|
   870|    try:
   871|        import fal_client  # noqa: F401
   872|        print("✅ fal_client library available")
   873|    except ImportError:
   874|        print("❌ fal_client library not found — pip install fal-client")
   875|        raise SystemExit(1)
   876|
   877|    model_id, meta = _resolve_fal_model()
   878|    print(f"🤖 Active model: {meta.get('display', model_id)} ({model_id})")
   879|    print(f"   Speed: {meta.get('speed', '?')}  ·  Price: {meta.get('price', '?')}")
   880|    print(f"   Upscaler: {'on' if meta.get('upscale') else 'off'}")
   881|
   882|    print("\nAvailable models:")
   883|    for mid, m in FAL_MODELS.items():
   884|        marker = " ← active" if mid == model_id else ""
   885|        print(f"  {mid:<32}  {m.get('speed', '?'):<6}  {m.get('price', '?')}{marker}")
   886|
   887|    if _debug.active:
   888|        print(f"\n🐛 Debug mode enabled — session {_debug.session_id}")
   889|
   890|

Use offset=890 to continue reading (showing 760-889 of 1065 lines)


   890|
   891|# ---------------------------------------------------------------------------
   892|# Registry
   893|# ---------------------------------------------------------------------------
   894|from tools.registry import registry, tool_error
   895|
   896|IMAGE_GENERATE_SCHEMA = {
   897|    "name": "image_generate",
   898|    "description": (
   899|        "Generate high-quality images from text prompts. The underlying "
   900|        "backend (FAL, OpenAI, etc.) and model are user-configured and not "
   901|        "selectable by the agent. Returns either a URL or an absolute file "
   902|        "path in the `image` field; display it with markdown "
   903|        "![description](url-or-path) and the gateway will deliver it."
   904|    ),
   905|    "parameters": {
   906|        "type": "object",
   907|        "properties": {
   908|            "prompt": {
   909|                "type": "string",
   910|                "description": "The text prompt describing the desired image. Be detailed and descriptive.",
   911|            },
   912|            "aspect_ratio": {
   913|                "type": "string",
   914|                "enum": list(VALID_ASPECT_RATIOS),
   915|                "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.",
   916|                "default": DEFAULT_ASPECT_RATIO,
   917|            },
   918|        },
   919|        "required": ["prompt"],
   920|    },
   921|}
   922|
   923|
   924|def _read_configured_image_model():
   925|    """Return the value of ``image_gen.model`` from config.yaml, or None."""
   926|    try:
   927|        from hermes_cli.config import load_config
   928|        cfg = load_config()
   929|        section = cfg.get("image_gen") if isinstance(cfg, dict) else None
   930|        if isinstance(section, dict):
   931|            value = section.get("model")
   932|            if isinstance(value, str) and value.strip():
   933|                return value.strip()
   934|    except Exception as exc:
   935|        logger.debug("Could not read image_gen.model: %s", exc)
   936|    return None
   937|
   938|
   939|def _read_configured_image_provider():
   940|    """Return the value of ``image_gen.provider`` from config.yaml, or None.
   941|
   942|    We only consult the plugin registry when this is explicitly set — an
   943|    unset value keeps users on the legacy in-tree FAL path even when other
   944|    providers happen to be registered (e.g. a user has OPENAI_API_KEY set
   945|    for other features but never asked for OpenAI image gen).
   946|    """
   947|    try:
   948|        from hermes_cli.config import load_config
   949|        cfg = load_config()
   950|        section = cfg.get("image_gen") if isinstance(cfg, dict) else None
   951|        if isinstance(section, dict):
   952|            value = section.get("provider")
   953|            if isinstance(value, str) and value.strip():
   954|                return value.strip()
   955|    except Exception as exc:
   956|        logger.debug("Could not read image_gen.provider: %s", exc)
   957|    return None
   958|
   959|
   960|def _dispatch_to_plugin_provider(prompt: str, aspect_ratio: str):
   961|    """Route the call to a plugin-registered provider when one is selected.
   962|
   963|    Returns a JSON string on dispatch, or ``None`` to fall through to the
   964|    built-in FAL path.
   965|
   966|    Dispatch only fires when ``image_gen.provider`` is explicitly set AND
   967|    it does not point to ``fal`` (FAL still lives in-tree in this PR;
   968|    a later PR ports it into ``plugins/image_gen/fal/``). Any other value
   969|    that matches a registered plugin provider wins.
   970|    """
   971|    configured = _read_configured_image_provider()
   972|    if not configured or configured == "fal":
   973|        return None
   974|
   975|    # Also read configured model so we can pass it to the plugin
   976|    configured_model = _read_configured_image_model()
   977|
   978|    try:
   979|        # Import locally so plugin discovery isn't triggered just by
   980|        # importing this module (tests rely on that).
   981|        from agent.image_gen_registry import get_provider
   982|        from hermes_cli.plugins import _ensure_plugins_discovered
   983|
   984|        _ensure_plugins_discovered()
   985|        provider = get_provider(configured)
   986|    except Exception as exc:
   987|        logger.debug("image_gen plugin dispatch skipped: %s", exc)
   988|        return None
   989|
   990|    if provider is None:
   991|        try:
   992|            # Long-lived sessions may have discovered plugins before a bundled
   993|            # backend was patched in or before config changed. Retry once with
   994|            # a forced refresh before surfacing a missing-provider error.
   995|            _ensure_plugins_discovered(force=True)
   996|            provider = get_provider(configured)
   997|        except Exception as exc:
   998|            logger.debug("image_gen plugin force-refresh skipped: %s", exc)
   999|
  1000|    if provider is None:
  1001|        return json.dumps({
  1002|            "success": False,
  1003|            "image": None,
  1004|            "error": (
  1005|                f"image_gen.provider='{configured}' is set but no plugin "
  1006|                f"registered that name. Run `hermes plugins list` to see "
  1007|                f"available image gen backends."
  1008|            ),
  1009|            "error_type": "provider_not_registered",
  1010|

Use offset=1010 to continue reading (showing 890-1009 of 1065 lines)


  1010|        })
  1011|
  1012|    try:
  1013|        kwargs = {"prompt": prompt, "aspect_ratio": aspect_ratio}
  1014|        if configured_model:
  1015|            kwargs["model"] = configured_model
  1016|        result = provider.generate(**kwargs)
  1017|    except Exception as exc:
  1018|        logger.warning(
  1019|            "Image gen provider '%s' raised: %s",
  1020|            getattr(provider, "name", "?"), exc,
  1021|        )
  1022|        return json.dumps({
  1023|            "success": False,
  1024|            "image": None,
  1025|            "error": f"Provider '{getattr(provider, 'name', '?')}' error: {exc}",
  1026|            "error_type": "provider_exception",
  1027|        })
  1028|    if not isinstance(result, dict):
  1029|        return json.dumps({
  1030|            "success": False,
  1031|            "image": None,
  1032|            "error": "Provider returned a non-dict result",
  1033|            "error_type": "provider_contract",
  1034|        })
  1035|    return json.dumps(result)
  1036|
  1037|
  1038|def _handle_image_generate(args, **kw):
  1039|    prompt = args.get("prompt", "")
  1040|    if not prompt:
  1041|        return tool_error("prompt is required for image generation")
  1042|    aspect_ratio = args.get("aspect_ratio", DEFAULT_ASPECT_RATIO)
  1043|
  1044|    # Route to a plugin-registered provider if one is active (and it's
  1045|    # not the in-tree FAL path).
  1046|    dispatched = _dispatch_to_plugin_provider(prompt, aspect_ratio)
  1047|    if dispatched is not None:
  1048|        return dispatched
  1049|
  1050|    return image_generate_tool(
  1051|        prompt=prompt,
  1052|        aspect_ratio=aspect_ratio,
  1053|    )
  1054|
  1055|
  1056|registry.register(
  1057|    name="image_generate",
  1058|    toolset="image_gen",
  1059|    schema=IMAGE_GENERATE_SCHEMA,
  1060|    handler=_handle_image_generate,
  1061|    check_fn=check_image_generation_requirements,
  1062|    requires_env=[],
  1063|    is_async=False,   # sync fal_client API to avoid "Event loop is closed" in gateway
  1064|    emoji="🎨",
  1065|)
  1066|


Explanation:
**Configuring image generation settings**

I'm thinking about configuring the image generation provider with the OpenAI Codex model. I might need to set this up using Hermes configuration. First, I need to verify if the OpenAI Codex authentication is available. I wonder if I should search for authentication options—hopefully no secrets will be required. Alternatively, I could check the Hermes status or look at the plugin list for more information. Let's see how that goes!

terminal

hermes plugins list | grep -i -A2 -B1 'openai-codex\|image' || true

python - <<'PY'
from hermes_cli.plugins import _ensure_plugins_discovered
from agent.image_gen_registry import list_providers
_ensure_plugins_discovered(force=True)
for p in list_providers():
    print(p.name, getattr(p,'display_name',None), 'available=', p.is_available())
PY


Output:
openai OpenAI available= False
openai-codex OpenAI (Codex auth) available= True
xai xAI (Grok) available= False


Explanation:
**Configuring tools for image generation**

I need to set up the configuration before testing to generate an image. Maybe I need to restart or reset the gateway? It looks like the tool configuration reads per call. The toolset is already enabled, so any changes to the provider should be immediate. I’ll use the command to set the image generation provider to openai-codex with a medium setting for the model. While low is an option for iteration, medium should be the default.

hermes config set image_gen.provider openai-codex && hermes config set image_gen.model gpt-image-2-medium && python - <<'PY'
from hermes_cli.config import load_config
cfg=load_config().get('image_gen',{})
print(cfg)
PY


Output:
✓ Set image_gen.provider = openai-codex in /home/ubuntu/.hermes/config.yaml
✓ Set image_gen.model = gpt-image-2-medium in /home/ubuntu/.hermes/config.yaml
{'provider': 'openai-codex', 'model': 'gpt-image-2-medium'}


Explanation:
**Verifying tool usage**

I need to test the image generation tool, so I’ll use the small version. But first, it’s important to check its activation — I might face issues if it's not enabled. My plan is to call it with a simple prompt to create an image. Ensuring everything is set up correctly is key before I proceed, so I’ll verify the tool’s status first. This should help avoid any potential hiccups!

Prompt: A tiny clean test image: the word OK in black on a plain white background, minimal, no decoration.


Prompt: A tiny clean test image: the word OK in black on a plain white background, minimal, no decoration.


Listo. Ya está activo y probado.

- `image_gen` estaba habilitado.
- Backend disponible: `openai-codex`
- Configuré:
  - `image_gen.provider = openai-codex`
  - `image_gen.model = gpt-image-2-medium`
- Verifiqué generación real con `gpt-image-2` vía Codex OAuth.
- Salida OK: `/home/ubuntu/.hermes/cache/images/openai_codex_gpt-image-2-medium_20260516_003246_f7d8f09a.png`

Para edits: mandame la imagen y decime qué querés cambiar. Si querés iterar rápido puedo bajarlo a `gpt-image-2-low`; para resultado final usamos `medium` o `high`.


[The user sent an image~ Here's what I can see:
Here is a detailed description of the image:

**Overall Impression:**
The image depicts a brightly lit living room that appears to be in the process of being moved into or organized. There are signs of unpacking and general clutter, but the space has a clean and modern aesthetic.

**Layout and Architecture:**
*   **Walls:** The walls are painted a clean, bright white.
*   **Ceiling:** The ceiling is also white and features a modern, square-shaped light fixture with visible circular vents.
*   **Floor:** The floor is a dark wood laminate or hardwood.
*   **Window:** A window is visible on the left side of the image, covered by light-colored curtains.
*   **Shelf:** A wooden shelf is mounted on the wall to the right, holding small decorative items and plants.

**Furniture and Decor:**
*   **Sofa:** A large, sectional sofa dominates the right side of the image. It is light gray or beige and covered with an assortment of pillows in various patterns and textures. A beige throw blanket is draped over part of the sofa.
*   **Coffee Table:** A light-colored, oval-shaped coffee table sits in front of the sofa. It has a slatted base and holds a laptop, a smartphone, and other small items.
*   **Plants:** Several potted plants are scattered throughout the room. A large fiddle-leaf fig is in a gray pot near the window, and a smaller palm is in a black pot.
*   **Boxes:** Several cardboard boxes are stacked on the sofa, suggesting unpacking.
*   **Chair:** A wooden chair is visible on the left side of the image, partially obscured by a large black trash bag.
*   **Shelf Decor:** The shelf on the wall holds small picture frames, a candle, and a small potted plant.

**Objects and Clutter:**
*   **Laptop:** A black laptop is open on the coffee table.
*   **Smartphone:** A smartphone is also on the coffee table.
*   **Headphones:** A pair of black headphones is on top of the boxes on the sofa.
*   **Trash Bag:** A large black trash bag is near the chair, likely containing packing materials.
*   **Shopping Bag:** A green shopping bag is on the floor near the chair.
*   **Water Bottle:** A clear water bottle is on the floor near the coffee table.
*   **Red Container:** A red plastic container is on the floor near the coffee table.
*   **Cables:** Various cables and cords are visible on the floor, indicating electronic devices.

**Colors:**
*   **Dominant Colors:** White, light gray, beige, and dark brown.
*   **Accent Colors:** Green (from the plants and shopping bag), black (from the laptop, headphones, and trash bag), and red (from the container).

**Overall Impression:**
The room has a bright and airy feel, but it is also somewhat cluttered due to the unpacking process. The furniture is modern and comfortable, and the plants add a touch of nature to the space. The overall impression is of a room in transition, but with a lot of potential.]
[If you need a closer look, use vision_analyze with image_url: /home/ubuntu/.hermes/image_cache/img_22336c28cebc.jpeg ~]

[nachlakes] Primero que nada debemos establecer el contexto. Primero, Te muestro la pared que tengo en el living. Esta pared mide 255cm de alto (del piso al techo) x 310cm de ancho (desde el marco de la ventana a la pared) (medidas aproximadas). Ahora, tené en cuenta estas 11 Varillas qué compramos https://www.mercadolibre.com.ar/up/MLAU3900266140?pdp_filters=item_id:MLA3171281564&matt_tool=89488245#origin=share&sid=share&wid=MLA3171281564&action=copy. Necesito que primero que nada calcules al detalle perfectamente usando el máximo de tu inteligencia para saber cuales van a ser las medidas finales de las 11  Varillas instaladas. Nuestra idea no es pegarlas a la pared, sino comprar "two by two's" en el easy. Cosa de poder armar un frame de madera, qué tenga cierta distancia del borde de las Varillas (revestimiento), para poder instalar una cinta Led y poder tener luz indirecta. De tu parte necesito que processes todo esto integralmente. Calcula absolutamente todo lo mencionado, las maderas qué necesitamos del easy, fijate si las podemos comprar online, sino necesito que armes una shopping list para cuando vayamos nosotros mañana, incluyendo la cinta Led y necesito obvio que también hagas el cálculo de que tan lejos del borde necesita la luz estar para tener una luz bella saliendo. Una vez tengas todo esto, pasa la foto por imagen 2 de open Ai y genera la imagen de todo el shopping list into con una instructions list sobre como deberíamos hacer la instalación del frame de madera, de la tira Led, y de como pegar los paneles unos con otros y contra Cúa tos puntos de contacto con el frame detrás. Básicamente una lógica de pe a pa de principio a fin. Integral. Gracias. Avisame si podes comprar todo directamente en su sitio, asumi qué no tengo ni una herramienta.