diff --git a/.gitignore b/.gitignore
index d2803afb..b53a2102 100644
--- a/.gitignore
+++ b/.gitignore
@@ -160,3 +160,4 @@ notebooks/local_experiments.ipynb
 playground
 logs
 Pipfile
+examples
diff --git a/notebooks/swebench/02_evaluate_coder.ipynb b/notebooks/swebench/02_evaluate_coder.ipynb
index b4729ea5..f37015b4 100644
--- a/notebooks/swebench/02_evaluate_coder.ipynb
+++ b/notebooks/swebench/02_evaluate_coder.ipynb
@@ -1,13 +1,24 @@
 {
  "cells": [
   {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "20ddba631a73df13",
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-06-16T10:24:02.340929Z",
      "start_time": "2024-06-16T10:24:02.331084Z"
     }
    },
-   "cell_type": "code",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/albert/repos/albert/moatless/evaluations\n"
+     ]
+    }
+   ],
    "source": [
     "import litellm\n",
     "import datetime\n",
@@ -16,310 +27,189 @@
     "index_store_dir = f\"/home/albert/index_store\"\n",
     "repo_base_dir = f\"/tmp/repos\"\n",
     "\n",
-    "previous_evaluation = \"20240615_moatless_search_gpt4o\"\n",
+    "model = \"azure/gpt-4o\"\n",
+    "edit_model = \"azure/gpt-4o\"\n",
     "\n",
-    "model = \"gpt-4o-2024-05-13\"\n",
-    "edit_model = \"gpt-4o-2024-05-13\"\n",
+    "# model = \"claude-3-5-sonnet-20240620\"\n",
+    "# edit_model = \"claude-3-5-sonnet-20240620\"\n",
     "\n",
     "date_str = datetime.datetime.now().strftime(\"%Y%m%d\")\n",
     "model_file_name = f\"{model.replace('/', '_')}\"\n",
     "\n",
     "if model != edit_model:\n",
-    "    model_file_name += f\"_edit_2_{edit_model.replace('/', '_')}\"\n",
+    "    model_file_name += f\"_edit_{edit_model.replace('/', '_')}\"\n",
     "\n",
     "evaluations_dir = \"/home/albert/repos/albert/moatless/evaluations\"\n",
-    "evaluation_name = f\"{date_str}_moatless_code_2_{model_file_name}\"\n",
-    "evaluation_dir = f\"{evaluations_dir}/{evaluation_name}\"\n",
-    "trajectory_dir = f\"{evaluations_dir}/{evaluation_name}/trajs\"\n",
-    "predictions_path = f\"{evaluation_dir}/all_preds.jsonl\"\n",
+    "evaluation_name = f\"{date_str}_moatless_code_{model_file_name}\"\n",
     "\n",
-    "previous_trajectories_dir = f\"{evaluations_dir}/{previous_evaluation}/trajs\"\n",
+    "previous_trajectory_dir = f\"/home/albert/repos/albert/swe-planner/evaluations/20240817_search_and_identify_gpt-4o\"\n",
     "\n",
-    "if not os.path.exists(trajectory_dir):\n",
-    "    os.makedirs(trajectory_dir)\n",
+    "# litellm.success_callback = [\"langfuse\"]\n",
+    "# litellm.failure_callback = [\"langfuse\"]\n",
     "\n",
-    "litellm.success_callback = [\"langfuse\"]\n",
-    "litellm.failure_callback = [\"langfuse\"]"
-   ],
-   "id": "20ddba631a73df13",
-   "execution_count": 9,
-   "outputs": []
+    "print(evaluations_dir)"
+   ]
   },
   {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2024-06-16T10:24:02.359925Z",
-     "start_time": "2024-06-16T10:24:02.343486Z"
-    }
-   },
    "cell_type": "code",
+   "execution_count": 2,
+   "id": "9d5b03af-3d97-49b5-9683-123451e5e23d",
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "def determine_status(info: dict) -> str:\n",
-    "    if \"error\" in info:\n",
-    "        return \"error\"\n",
-    "    \n",
-    "    if \"submission\" not in info or not info[\"submission\"]:\n",
-    "        return \"not_submitted\"\n",
-    "    \n",
-    "    prediction = info[\"submission\"]\n",
-    "    \n",
-    "    result_file = f\"{evaluation_dir}/result.json\"\n",
-    "    if not os.path.exists(result_file) and prediction:\n",
-    "        # No support for evaluation yet. Generate the swe bench evaluation result file and run again...\n",
-    "        return \"generated\"\n",
-    "    \n",
-    "    with open(os.path.join(result_file), \"r\") as f:\n",
-    "        report = json.load(f)\n",
-    "        \n",
-    "    if info[\"instance_id\"] in report[\"resolved\"]:\n",
-    "        return \"resolved\"\n",
-    "    else:\n",
-    "        return \"failed\"\n",
-    "\n",
-    "def to_result(trajectory: dict, instance: dict) -> dict:\n",
-    "    info = trajectory[\"info\"]\n",
-    "    \n",
-    "    result = {\n",
-    "        \"instance_id\": info[\"instance_id\"],\n",
-    "        \"duration\": info[\"duration\"],\n",
-    "        \"total_cost\": info[\"total_cost\"],\n",
-    "        \"status\": determine_status(info),\n",
-    "        #\"transitions\": len(trajectory[\"transitions\"]),\n",
-    "        \"rejections\": 0,\n",
-    "        \"changes\": 0,\n",
-    "        \"resolved_by\": len(instance[\"resolved_by\"])\n",
+    "from moatless.edit.edit import EditCode\n",
+    "from moatless.edit.plan import PlanToCode\n",
+    "from moatless.transitions import search_and_code_transitions, code_transitions\n",
+    "\n",
+    "global_params = {\n",
+    "    \"model\": model,\n",
+    "    \"temperature\": 0.2,\n",
+    "    \"max_tokens\": 2000\n",
+    "}\n",
+    "\n",
+    "state_params = {\n",
+    "    PlanToCode: {\n",
+    "        \"model\": model,\n",
+    "        \"temperature\": 0.2,\n",
+    "        \"max_tokens_in_edit_prompt\": 750,\n",
+    "        \"finish_on_review\": True,\n",
+    "    },\n",
+    "    ExpandContext: {\n",
+    "        \"\n",
+    "    }\n",
+    "    EditCode: {\n",
+    "        \"model\": edit_model,\n",
+    "        \"temperature\": 0.2,\n",
+    "        \"chain_of_thought\": False,\n",
+    "        \"show_file_context\": False,\n",
+    "        \"max_prompt_file_tokens\": 8000,\n",
     "    }\n",
+    "}\n",
     "\n",
-    "    return result"
-   ],
-   "id": "611e5d6d74f07ecf",
-   "execution_count": 10,
-   "outputs": []
+    "transitions = search_and_code_transitions(\n",
+    "    global_params=global_params,\n",
+    "    state_params=state_params,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e531db2d-5770-4369-8511-aa533bba5724",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "resolved_by=0\n",
+    "instance_ids=[\n",
+    "    \"django__django-10914\", \n",
+    "\"scikit-learn__scikit-learn-10297\", \n",
+    "\"astropy__astropy-7606\", \n",
+    "\"astropy__astropy-7671\", \n",
+    "\"django__django-12193\", \n",
+    "\"django__django-12419\", \n",
+    "\"sympy__sympy-19637\", \n",
+    "\"django__django-13809\", \n",
+    "\"django__django-15731\", \n",
+    "\"matplotlib__matplotlib-25122\", \n",
+    "\"psf__requests-1724\", \n",
+    "\"astropy__astropy-8707\", \n",
+    "\"django__django-11532\", \n",
+    "\"pytest-dev__pytest-7205\", \n",
+    "\"pydata__xarray-4356\", \n",
+    "\"django__django-14672\", \n",
+    "\"sympy__sympy-24066\", \n",
+    "\"psf__requests-1766\n",
+    "]\n",
+    "\n",
+    "split = \"verified\""
+   ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a476221019e723c6",
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-06-16T10:24:02.378186Z",
      "start_time": "2024-06-16T10:24:02.362397Z"
     }
    },
-   "cell_type": "code",
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "420eec9746f748eb87ba0ec19a9d7a34",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/28 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "from moatless.edit.edit import EditCode\n",
-    "from moatless.workspace import Workspace\n",
-    "import subprocess\n",
-    "\n",
-    "from moatless.transitions import code_transitions\n",
-    "from moatless.loop import AgenticLoop\n",
-    "import traceback\n",
-    "from moatless.benchmark.utils import trace_metadata\n",
+    "from moatless.benchmark.evaluation import Evaluation\n",
     "import logging\n",
-    "import os\n",
-    "import time\n",
-    "from moatless.benchmark.swebench import setup_swebench_repo, get_repo_dir_name, sync_file_context_with_search_trajectory\n",
-    "\n",
     "\n",
-    "def evaluate(instance):\n",
-    "    repo_dir = setup_swebench_repo(instance)\n",
-    "    instance_id = instance[\"instance_id\"]\n",
-    "    persist_dir = os.path.join(\n",
-    "        index_store_dir, get_repo_dir_name(instance[\"instance_id\"])\n",
-    "    )\n",
-    "    \n",
-    "    workspace = Workspace.from_dirs(repo_dir=repo_dir, index_dir=persist_dir)\n",
-    "\n",
-    "    trajectory_path = os.path.join(trajectory_dir, f\"{instance['instance_id']}.json\")\n",
-    "    if os.path.exists(trajectory_path):\n",
-    "        with open(trajectory_path) as file:\n",
-    "            trajectory = json.load(file)\n",
-    "        if \"info\" in trajectory and trajectory[\"info\"].get(\"submission\"):\n",
-    "            return trajectory\n",
-    "    \n",
-    "    previous_trajectory_file = os.path.join(previous_trajectories_dir, f\"{instance['instance_id']}.json\")\n",
-    "    if os.path.exists(previous_trajectory_file):\n",
-    "        with open(previous_trajectory_file) as file:\n",
-    "            previous_trajectory = json.load(file)\n",
-    "        sync_file_context_with_search_trajectory(workspace, previous_trajectory)\n",
-    "    else:\n",
-    "        print(f\"Missing previous trajectory file {previous_trajectory_file}\")\n",
-    "        return None\n",
-    "\n",
-    "    if not workspace.file_context.files:\n",
-    "        print(f\"No files in context from previous trajectory for {instance['instance_id']}\")\n",
-    "        return None\n",
-    "    \n",
-    "    metadata = trace_metadata(instance_id=instance_id, session_id=evaluation_name, trace_name=\"code\")\n",
-    "    transitions = code_transitions(global_params={\"model\": model}, state_params={EditCode: {\"model\": edit_model}})\n",
-    "    \n",
-    "    code_loop = AgenticLoop(transitions=transitions, workspace=workspace, metadata=metadata, trajectory_path=trajectory_path, max_cost=0.5)\n",
-    "\n",
-    "    info = {\n",
-    "        \"evaluation_name\": evaluation_name,\n",
-    "        \"instance_id\": instance[\"instance_id\"]\n",
-    "    }\n",
-    "    \n",
-    "    start_time = time.time()\n",
-    "    try:\n",
-    "        response = code_loop.run(message=instance[\"problem_statement\"])\n",
-    "    except Exception as e:\n",
-    "        info[\"error\"] = traceback.format_exc()\n",
-    "        logging.exception(f\"Error in evaluation of {instance['instance_id']} \")\n",
-    "        raise e\n",
-    "\n",
-    "    info[\"duration\"] = time.time() - start_time\n",
-    "    info[\"total_cost\"] = code_loop.trajectory.total_cost()\n",
-    "    \n",
-    "    workspace.save()\n",
-    "    \n",
-    "    output = subprocess.run(\n",
-    "          [\"git\", \"diff\"],\n",
-    "          capture_output=True,\n",
-    "          text=True,\n",
-    "          cwd=repo_dir,\n",
-    "    )\n",
-    "    \n",
-    "    info[\"submission\"] = output.stdout\n",
-    "\n",
-    "    code_loop.trajectory.save_info(info)\n",
-    "    \n",
-    "    return code_loop.trajectory.to_dict()\n"
-   ],
-   "id": "a476221019e723c6",
-   "execution_count": 11,
-   "outputs": []
+    "logging.basicConfig(\n",
+    "    format=\"%(asctime)s - %(name)s - %(levelname)s - %(message)s\",\n",
+    "    level=logging.WARNING,\n",
+    ")\n",
+    "evaluation = Evaluation(\n",
+    "    transitions=transitions,\n",
+    "    evaluations_dir=evaluations_dir,\n",
+    "    previous_trajectory_dir=previous_trajectory_dir,\n",
+    "    evaluation_name=evaluation_name,\n",
+    "    retry_state=\"PlanToCode\",\n",
+    "    max_file_context_tokens=16000,\n",
+    "    report_mode=\"code\",\n",
+    "    num_workers=1\n",
+    ")\n",
+    "\n",
+    "evaluation.run_evaluation(\n",
+    "    resolved_by=resolved_by,\n",
+    "    instance_ids=instance_ids,\n",
+    "    split=split\n",
+    ")"
+   ]
   },
   {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2024-06-16T10:26:03.723822Z",
-     "start_time": "2024-06-16T10:24:02.381772Z"
-    }
-   },
    "cell_type": "code",
-   "source": [
-    "from moatless.benchmark.swebench import generate_md_report\n",
-    "from pandas import DataFrame\n",
-    "import pandas as pd\n",
-    "from tqdm.notebook import tqdm\n",
-    "import json\n",
-    "\n",
-    "def run_evaluation(dataset_file: str) -> DataFrame:\n",
-    "    count = 0\n",
-    "    generated = 0\n",
-    "    error = 0\n",
-    "    \n",
-    "    sum_duration = 0\n",
-    "    sum_total_cost = 0\n",
-    "    \n",
-    "    with open(dataset_file, \"r\") as f:\n",
-    "        instances = json.load(f)\n",
-    "\n",
-    "    with open(predictions_path, \"w\") as file:\n",
-    "        file.write(\"\")\n",
-    "\n",
-    "    results = []\n",
-    "    instances = [instance for instance in instances if len(instance[\"resolved_by\"]) >= 6]\n",
-    "    \n",
-    "    instances = [instance for instance in instances if instance[\"instance_id\"] in [\"django__django-15789\",\"django__django-15851\",\"pytest-dev__pytest-5692\",\"scikit-learn__scikit-learn-13241\",\"scikit-learn__scikit-learn-13779\",\"scikit-learn__scikit-learn-25570\"]]\n",
-    "\n",
-    "    stats = {}\n",
-    "    pbar = tqdm(instances)\n",
-    "    for instance in pbar:\n",
-    "        pbar.set_description(f\"Instance {instance['instance_id']}\")\n",
-    "        \n",
-    "        trajectory = evaluate(instance)\n",
-    "        if not trajectory:\n",
-    "            continue\n",
-    "    \n",
-    "        result = to_result(trajectory, instance)\n",
-    "        results.append(result)\n",
-    "        \n",
-    "        try:\n",
-    "            if result[\"status\"] in [\"failed\"]:\n",
-    "                md_report = generate_md_report(trajectory, instance)\n",
-    "                if not os.path.exists(f\"{evaluation_dir}/reports\"):\n",
-    "                    os.makedirs(f\"{evaluation_dir}/reports\")\n",
-    "                with open(f\"{evaluation_dir}/reports/{instance['instance_id']}.md\", \"w\") as file:\n",
-    "                    file.write(md_report)\n",
-    "        except Exception as e:\n",
-    "            logging.exception(f\"Error in generating report for {instance['instance_id']} \")\n",
-    "        \n",
-    "        sum_duration += result[\"duration\"]\n",
-    "        sum_total_cost += result[\"total_cost\"]\n",
-    "        \n",
-    "        if result[\"status\"] == \"error\":\n",
-    "            error += 1\n",
-    "\n",
-    "        if result[\"status\"] in [\"generated\", \"failed\", \"resolved\"]:\n",
-    "            generated += 1\n",
-    "        \n",
-    "        count += 1\n",
-    "\n",
-    "        if sum_duration > 0:\n",
-    "            stats[\"avg_duration\"] = sum_duration / count\n",
-    "\n",
-    "        if sum_total_cost > 0:\n",
-    "            stats[\"avg_cost\"] = sum_total_cost / count\n",
-    "            stats[\"total_cost\"] = sum_total_cost\n",
-    "        \n",
-    "        if generated > 0:\n",
-    "            success_rate = (generated / count) * 100\n",
-    "            stats[\"generated\"] = f\"{success_rate:.2f}%\"\n",
-    "    \n",
-    "        stats[\"error\"] = error\n",
-    "        \n",
-    "        pbar.set_postfix(stats)\n",
-    "    \n",
-    "        prediction = {\n",
-    "            \"model_name_or_path\": evaluation_name,\n",
-    "            \"instance_id\": instance[\"instance_id\"],\n",
-    "            \"model_patch\": trajectory[\"info\"].get(\"submission\", \"\"),\n",
-    "        }\n",
-    "    \n",
-    "        with open(predictions_path, \"a\") as file:\n",
-    "            json_string = json.dumps(prediction)\n",
-    "            file.write(json_string + \"\\n\")\n",
-    "        \n",
-    "        df = pd.DataFrame(results)\n",
-    "        df.to_csv(f\"{evaluation_dir}/result.csv\", index=False, sep=';', decimal=',')\n",
-    "\n",
-    "    return pd.DataFrame(results)\n",
-    "\n",
-    "df = run_evaluation(\"/home/albert/repos/albert/moatless/datasets/swebench_lite_all_evaluations.json\")"
-   ],
-   "id": "ab446dc72a762649",
-   "execution_count": 12,
-   "outputs": []
+   "execution_count": null,
+   "id": "fa90ab52-7fae-43ff-8424-998a27de9eb2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   },
   {
-   "metadata": {},
    "cell_type": "code",
-   "source": [
-    "df.to_csv(f\"{evaluation_dir}/result.csv\", index=False, sep=';', decimal=',')\n",
-    "df"
-   ],
-   "id": "c3c420e9bd28dd40",
    "execution_count": null,
-   "outputs": []
+   "id": "6f63c76c-3038-47be-ad10-1984fd6087ec",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/poetry.lock b/poetry.lock
index 296bc682..ca5eb74b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,98 +2,113 @@
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.3.6"
+version = "2.4.0"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.3.6-py3-none-any.whl", hash = "sha256:15dca2611fa78442f1cb54cf07ffb998573f2b4fbeab45ca8554c045665c896b"},
-    {file = "aiohappyeyeballs-2.3.6.tar.gz", hash = "sha256:88211068d2a40e0436033956d7de3926ff36d54776f8b1022d6b21320cadae79"},
+    {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
+    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.3"
+version = "3.10.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohttp-3.10.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cc36cbdedf6f259371dbbbcaae5bb0e95b879bc501668ab6306af867577eb5db"},
-    {file = "aiohttp-3.10.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:85466b5a695c2a7db13eb2c200af552d13e6a9313d7fa92e4ffe04a2c0ea74c1"},
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 ]
 
 [package.dependencies]
@@ -146,13 +161,13 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.34.0"
+version = "0.34.2"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "anthropic-0.34.2.tar.gz", hash = "sha256:808ea19276f26646bfde9ee535669735519376e4eeb301a2974fc69892be1d6e"},
 ]
 
 [package.dependencies]
@@ -258,13 +273,13 @@ lxml = ["lxml"]
 
 [[package]]
 name = "certifi"
-version = "2024.7.4"
+version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -932,13 +947,13 @@ trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -953,16 +968,17 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.24.5"
+version = "0.24.6"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -990,24 +1006,24 @@ typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "t
 
 [[package]]
 name = "idna"
-version = "3.7"
+version = "3.8"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
-    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
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+    {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
+    {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "8.2.0"
+version = "8.4.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-8.2.0-py3-none-any.whl", hash = "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369"},
-    {file = "importlib_metadata-8.2.0.tar.gz", hash = "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d"},
+    {file = "importlib_metadata-8.4.0-py3-none-any.whl", hash = "sha256:66f342cc6ac9818fc6ff340576acd24d65ba0b3efabb2b4ac08b598965a4a2f1"},
+    {file = "importlib_metadata-8.4.0.tar.gz", hash = "sha256:9a547d3bc3608b025f93d403fdd1aae741c24fbb8314df4b155675742ce303c5"},
 ]
 
 [package.dependencies]
@@ -1031,20 +1047,20 @@ files = [
 
 [[package]]
 name = "instructor"
-version = "1.3.7"
+version = "1.4.0"
 description = "structured outputs for llm"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "instructor-1.3.7-py3-none-any.whl", hash = "sha256:9a4eac99aef3af4d72c625a3e500add118c3f7af414e0ca3fafa946be07077b7"},
-    {file = "instructor-1.3.7.tar.gz", hash = "sha256:8ed68b8a4d9ab9b7bafe553624222c02497a8f0bd788f9df7b404549967a5863"},
+    {file = "instructor-1.4.0-py3-none-any.whl", hash = "sha256:b60b1acd4a6f20590011de3fb0d108f23da6ed8e67ff2cab8efc0b153fbeaa19"},
+    {file = "instructor-1.4.0.tar.gz", hash = "sha256:79a0c93f2bf37ed5efb7bee03b587f6c9010778599bd05ad4430e2bf2f7d3cfc"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.9.1,<4.0.0"
 docstring-parser = ">=0.16,<0.17"
 jiter = ">=0.4.1,<0.5.0"
-openai = ">=1.1.0,<2.0.0"
+openai = ">=1.40.0,<2.0.0"
 pydantic = ">=2.8.0,<3.0.0"
 pydantic-core = ">=2.18.0,<3.0.0"
 rich = ">=13.7.0,<14.0.0"
@@ -1221,13 +1237,13 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "litellm"
-version = "1.43.17"
+version = "1.44.16"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 files = [
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-    {file = "litellm-1.43.17.tar.gz", hash = "sha256:8ac82b18bf6ae7c29627e8e5d89b183f075b32fb7027b17d2fb7d7d0b7cf8b7f"},
+    {file = "litellm-1.44.16-py3-none-any.whl", hash = "sha256:8fc583b8531739dfe743f21dc077a742d6b2b219c3d4491f6f06418c18dbba70"},
+    {file = "litellm-1.44.16.tar.gz", hash = "sha256:db1c76027c6fdf428df5d40d96dc92024d9f23997988cd6406cc1825d688ed37"},
 ]
 
 [package.dependencies]
@@ -1244,18 +1260,18 @@ tiktoken = ">=0.7.0"
 tokenizers = "*"
 
 [package.extras]
-extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "pynacl (>=1.5.0,<2.0.0)", "resend (>=0.8.0,<0.9.0)"]
-proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
+extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"]
+proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
 
 [[package]]
 name = "llama-cloud"
-version = "0.0.13"
+version = "0.0.15"
 description = ""
 optional = false
 python-versions = "<4,>=3.8"
 files = [
-    {file = "llama_cloud-0.0.13-py3-none-any.whl", hash = "sha256:b641450308b80c85eeae7ef9cb5a3b4a3b1823d5cde05b626ce33f7494ec6229"},
-    {file = "llama_cloud-0.0.13.tar.gz", hash = "sha256:0e3165a22f8df34a00d13f1f5739438ba4d620f2d8a9289df830078a39fe6f1f"},
+    {file = "llama_cloud-0.0.15-py3-none-any.whl", hash = "sha256:52f18a3870e23c4a9b5f66827a58dc87d5a1c3034d1ce6ab513ca7eb09ae8b36"},
+    {file = "llama_cloud-0.0.15.tar.gz", hash = "sha256:be06fd888e889623796b9c2aa0fc0d09ef039ed5145ff267d8408ccbea70c048"},
 ]
 
 [package.dependencies]
@@ -1321,13 +1337,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-core"
-version = "0.10.66"
+version = "0.10.68.post1"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_core-0.10.66-py3-none-any.whl", hash = "sha256:0d4ffaea4a5f0bdc2243d7e71d5f6926a508737088aa5c0af658ea2deac98b4d"},
-    {file = "llama_index_core-0.10.66.tar.gz", hash = "sha256:70f5cc9da6ee1c550dfde0bd8ab12e77128cc308714958e2cafb7affbc3f5c87"},
+    {file = "llama_index_core-0.10.68.post1-py3-none-any.whl", hash = "sha256:1befe1324f0fa1c3a2cfc1e4d38adb0cd0c3b2948badfb2be826da048a3bdbaf"},
+    {file = "llama_index_core-0.10.68.post1.tar.gz", hash = "sha256:1215106973f2fb7651c10827c27ca3f47c03ccfae3b8653c5476d454d5ba8cd0"},
 ]
 
 [package.dependencies]
@@ -1339,11 +1355,11 @@ fsspec = ">=2023.5.0"
 httpx = "*"
 nest-asyncio = ">=1.5.8,<2.0.0"
 networkx = ">=3.0"
-nltk = ">=3.8.1"
+nltk = ">=3.8.1,<3.9 || >3.9"
 numpy = "<2.0.0"
-openai = ">=1.1.0"
 pandas = "*"
 pillow = ">=9.0.0"
+pydantic = "<3.0"
 PyYAML = ">=6.0.1"
 requests = ">=2.31.0"
 SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
@@ -1400,13 +1416,13 @@ llama-index-core = ">=0.10.48.post1,<0.11.0"
 
 [[package]]
 name = "llama-index-legacy"
-version = "0.9.48.post2"
+version = "0.9.48.post3"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_legacy-0.9.48.post2-py3-none-any.whl", hash = "sha256:2581af680a4e577d4f0accd76e8286c5f1054f28a2fb0e8e5758f09ce5da0176"},
-    {file = "llama_index_legacy-0.9.48.post2.tar.gz", hash = "sha256:a4c1f10b4d19d005674195c449f4e859022c65c816dcba1a619ef5df922aa212"},
+    {file = "llama_index_legacy-0.9.48.post3-py3-none-any.whl", hash = "sha256:04221320d84d96ba9ee3e21e5055bd8527cbd769e8f1c60cf0368ed907e012a2"},
+    {file = "llama_index_legacy-0.9.48.post3.tar.gz", hash = "sha256:f6969f1085efb0abebd6367e46f3512020f3f6b9c086f458a519830dd61e8206"},
 ]
 
 [package.dependencies]
@@ -1439,13 +1455,13 @@ query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "l
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.1.29"
+version = "0.1.31"
 description = "llama-index llms openai integration"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index_llms_openai-0.1.29-py3-none-any.whl", hash = "sha256:8ae9a9f595b3654405fd54f3dbc8b58b259be8eeea2f58650609869e8362cab5"},
-    {file = "llama_index_llms_openai-0.1.29.tar.gz", hash = "sha256:15a4fa65a3d2ecf7e29a090273ec595d44553baea72a1ebe5b42fe3c527f7121"},
+    {file = "llama_index_llms_openai-0.1.31-py3-none-any.whl", hash = "sha256:800815b1b964b7d8dddd0e02a09fb57ac5f2ec6f80db92cd704dae718846023f"},
+    {file = "llama_index_llms_openai-0.1.31.tar.gz", hash = "sha256:c235493f453b92903722054a8dfb1452ea850eac47a68a38bab3b823988d56fe"},
 ]
 
 [package.dependencies]
@@ -1643,13 +1659,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.21.3"
+version = "3.22.0"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"},
-    {file = "marshmallow-3.21.3.tar.gz", hash = "sha256:4f57c5e050a54d66361e826f94fba213eb10b67b2fdb02c3e0343ce207ba1662"},
+    {file = "marshmallow-3.22.0-py3-none-any.whl", hash = "sha256:71a2dce49ef901c3f97ed296ae5051135fd3febd2bf43afe0ae9a82143a494d9"},
+    {file = "marshmallow-3.22.0.tar.gz", hash = "sha256:4972f529104a220bb8637d595aa4c9762afbe7f7a77d82dc58c1615d70c5823e"},
 ]
 
 [package.dependencies]
@@ -1657,7 +1673,7 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
+docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.0.2)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -1894,13 +1910,13 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
 name = "nltk"
-version = "3.8.1"
+version = "3.9.1"
 description = "Natural Language Toolkit"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"},
+    {file = "nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"},
 ]
 
 [package.dependencies]
@@ -1964,13 +1980,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.41.0"
+version = "1.43.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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+    {file = "openai-1.43.0-py3-none-any.whl", hash = "sha256:1a748c2728edd3a738a72a0212ba866f4fdbe39c9ae03813508b267d45104abe"},
+    {file = "openai-1.43.0.tar.gz", hash = "sha256:e607aff9fc3e28eade107e5edd8ca95a910a4b12589336d3cbb6bfe2ac306b3c"},
 ]
 
 [package.dependencies]
@@ -2818,13 +2834,13 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "rich"
-version = "13.7.1"
+version = "13.8.0"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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+    {file = "rich-13.8.0-py3-none-any.whl", hash = "sha256:2e85306a063b9492dffc86278197a60cbece75bcb766022f3436f567cae11bdc"},
+    {file = "rich-13.8.0.tar.gz", hash = "sha256:a5ac1f1cd448ade0d59cc3356f7db7a7ccda2c8cbae9c7a90c28ff463d3e91f4"},
 ]
 
 [package.dependencies]
@@ -3072,60 +3088,60 @@ files = [
 
 [[package]]
 name = "sqlalchemy"
-version = "2.0.32"
+version = "2.0.34"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -3879,20 +3897,24 @@ multidict = ">=4.0"
 
 [[package]]
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+version = "3.20.1"
 description = "Backport of pathlib-compatible object wrapper for zip files"
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 python-versions = ">=3.8"
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 ]
 
 [package.extras]
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+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
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+enabler = ["pytest-enabler (>=2.2)"]
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+type = ["pytest-mypy"]
 
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 python-versions = ">=3.10,<=3.13"
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