diff --git a/README.md b/README.md
index 4d4e0bf..a8aff35 100644
--- a/README.md
+++ b/README.md
@@ -108,6 +108,7 @@ When specifying just the `--model` argument, the following configurations are us
 | gpt-4o-mini-2024-07-18 | tool_call | messages | yes | [16%](https://experiments.moatless.ai/evaluations/20250118_gpt_4o_mini_2024_07_18_0_0_n_20_fmt_tool_call_thoughts-in-action_6_verified_mini) |
 | o1-mini-2024-09-12 | react | react | no (disabled thoughts) | [28%](https://experiments.moatless.ai/evaluations/20250114_o1_mini_2024_09_12_0_0_n_20_fmt_react_hist_react_verified_mini) |
 | deepseek/deepseek-chat | react | react | no | [36%](https://experiments.moatless.ai/evaluations/20250118_deepseek_deepseek_chat_0_0_n_20_fmt_react_verified_mini) |
+| deepseek/deepseek-reasoner | react | react | no (disabled thoughts) | [50%](https://experiments.moatless.ai/evaluations/20250120_deepseek_deepseek_reasoner_None_n_20_fmt_react_verified_mini) |
 | gemini/gemini-2.0-flash-exp | react | react | no | [38%](https://experiments.moatless.ai/evaluations/20250119_gemini_gemini_2.0_flash_exp_0_0_n_20_fmt_react_verified_mini) |
 | openrouter/meta-llama/llama-3.1-70b-instruct | react | react | no | - |
 | openrouter/meta-llama/llama-3.1-405b-instruct | react | react | no | [28%](https://experiments.moatless.ai/evaluations/20250119_openai_meta_llama_Meta_Llama_3.1_405B_Instruct_FP8_0_0_n_20_fmt_react_verified_mini) | - |
diff --git a/poetry.lock b/poetry.lock
index 7a7bece..f85d9c3 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1549,15 +1549,15 @@ files = [
 
 [[package]]
 name = "litellm"
-version = "1.59.0"
+version = "1.59.3"
 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"
 groups = ["main"]
 markers = "python_version >= \"3.12\" or python_version == \"3.11\""
 files = [
-    {file = "litellm-1.59.0-py3-none-any.whl", hash = "sha256:b0c8bdee556d5dc2f9c703f7dc831574ea2e339d2e762dd626d014c170b8b587"},
-    {file = "litellm-1.59.0.tar.gz", hash = "sha256:140eecb47952558414d00f7a259fe303fe5f0d073973a28f488fc6938cc45660"},
+    {file = "litellm-1.59.3-py3-none-any.whl", hash = "sha256:17c6fe3b9ccd54fbdb73d2389268864296f9601c5cb29d80061489e0a984e5c0"},
+    {file = "litellm-1.59.3.tar.gz", hash = "sha256:5e625e07a97346704d67f04265253acfc6a0c7e3afad82c2ed57fcdaae066add"},
 ]
 
 [package.dependencies]
@@ -2976,6 +2976,25 @@ tomlkit = ">=0.10.1"
 spelling = ["pyenchant (>=3.2,<4.0)"]
 testutils = ["gitpython (>3)"]
 
+[[package]]
+name = "pymupdf"
+version = "1.25.2"
+description = "A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "python_version >= \"3.12\" or python_version == \"3.11\""
+files = [
+    {file = "pymupdf-1.25.2-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:59dea22b633cc4fc13670b4c5db50d71f8cd4f420814420f33ce47ddcb61e1f6"},
+    {file = "pymupdf-1.25.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:e8b8a874497cd0deee89a6a4fb76a3a08173c8d39e88fc7cf715764ec5a243e9"},
+    {file = "pymupdf-1.25.2-cp39-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f61e5cdb25b86eb28d34aa3557b49ecf9e361d5f5cd3b1660406f8f0bf813af7"},
+    {file = "pymupdf-1.25.2-cp39-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ae8cfa7a97d78f813d286ecba32369059d88073edd1e5cf105f4cd0811f71925"},
+    {file = "pymupdf-1.25.2-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:295505fe1ecb7c7b57d4124d373e207ea311d8e40bc7ac3016d8ec2d60b091e9"},
+    {file = "pymupdf-1.25.2-cp39-abi3-win32.whl", hash = "sha256:b9488c8b82bb9be36fb13ee0c8d43b0ddcc50af83b61da01e6040413d9e67da6"},
+    {file = "pymupdf-1.25.2-cp39-abi3-win_amd64.whl", hash = "sha256:1b4ca6f5780d319a08dff885a5a0e3585c5d7af04dcfa063c535b88371fd91c1"},
+    {file = "pymupdf-1.25.2.tar.gz", hash = "sha256:9ea88ff1b3ccb359620f106a6fd5ba6877d959d21d78272052c3496ceede6eec"},
+]
+
 [[package]]
 name = "pyparsing"
 version = "3.2.1"
@@ -4481,4 +4500,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "6898750f99d927b7372bc66e3c9b66dedc777cdfa40651a7f89b79505dad3e7a"
+content-hash = "1dc51650078360b1f1f24b21cda072d9298e604904e85b1c36a1d2f7cf80f560"
diff --git a/pyproject.toml b/pyproject.toml
index 3fc5212..79b751b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "moatless"
-version = "0.0.7"
+version = "0.0.8"
 description = ""
 authors = [ "Albert Örwall <albert@moatless.ai>",]
 readme = "README.md"
@@ -35,9 +35,10 @@ numpy = "^1.0"
 pylint = "^3.2.6"
 
 # For LLM integrations
+
 # !!! Use this to able to use Claude's computer use tool types https://github.com/BerriAI/litellm/pull/7805
 #litellm = { git = "https://github.com/aorwall/litellm.git", branch = "anthropic-computer-use" }
-litellm = "^1.59.0"
+litellm = "^1.59.3"
 
 instructor = "<=1.6.3"
 
@@ -59,6 +60,10 @@ filelock = "^3.16.1"
 matplotlib = "^3.10.0"
 seaborn = "^0.13.2"
 
+# TODO: Image and PDF handling
+# Pillow = "^11.1.0"
+# pymupdf = "^1.25.1"
+
 [tool.ruff.lint]
 select = [ "B", "DTZ", "E", "F", "I", "LOG", "N", "PLE", "SIM", "T20", "UP",]
 ignore = [ "E501", "F401", "UP007" ]