diff --git a/poetry.lock b/poetry.lock
index 2ea45e3a..eb043bac 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1317,14 +1317,14 @@ pydantic = ">=2.11.5"
 
 [[package]]
 name = "llama-index-workflows"
-version = "2.0.1"
+version = "2.2.0"
 description = "An event-driven, async-first, step-based way to control the execution flow of AI applications like Agents."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "llama_index_workflows-2.0.1-py3-none-any.whl", hash = "sha256:45d7129df2ab2c3497863b6c096745b3145e472a5bf222ca91204bf0e5bc475b"},
-    {file = "llama_index_workflows-2.0.1.tar.gz", hash = "sha256:75169e00bcf6dc0c25ed96480262014d652617e4ea7730a3d9992d4da822ef13"},
+    {file = "llama_index_workflows-2.2.0-py3-none-any.whl", hash = "sha256:9787c8bf4705f80a83dbdd42ad4fc59a5042b1f3b415f124a6aaf7d63f0f3a51"},
+    {file = "llama_index_workflows-2.2.0.tar.gz", hash = "sha256:3e51d96a5fd7ecdfe72b5d37e9b9f457441397e02b148c0f896a55843b96372d"},
 ]
 
 [package.dependencies]
@@ -1337,21 +1337,21 @@ server = ["starlette (>=0.39.0)", "uvicorn (>=0.32.0)"]
 
 [[package]]
 name = "logfire"
-version = "4.5.0"
+version = "4.7.0"
 description = "The best Python observability tool! 🪵🔥"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "logfire-4.5.0-py3-none-any.whl", hash = "sha256:d842c2e4a9b75b3d32cb4ad83acfdc34e59185bf770c9b7b2a631f835d9de26a"},
-    {file = "logfire-4.5.0.tar.gz", hash = "sha256:f4ba4229b4b19ced80a882b98b2d839c0c1fac716817b576563a1633a9e47d97"},
+    {file = "logfire-4.7.0-py3-none-any.whl", hash = "sha256:7f451648a5532249223ea0f886c1b0295cdfa7bd1336824803cf7415cd9f04d8"},
+    {file = "logfire-4.7.0.tar.gz", hash = "sha256:57a94fa5198c494c94850d966b167c41514e002864d36a8f1bbeddf84a94125d"},
 ]
 
 [package.dependencies]
 executing = ">=2.0.1"
-opentelemetry-exporter-otlp-proto-http = ">=1.21.0,<1.37.0"
+opentelemetry-exporter-otlp-proto-http = ">=1.35.0,<1.38.0"
 opentelemetry-instrumentation = ">=0.41b0"
-opentelemetry-sdk = ">=1.21.0,<1.37.0"
+opentelemetry-sdk = ">=1.35.0,<1.38.0"
 protobuf = ">=4.23.4"
 rich = ">=13.4.2"
 typing-extensions = ">=4.1.0"
@@ -1848,18 +1848,19 @@ files = [
     {file = "numpy-2.3.3-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8596ba2f8af5f93b01d97563832686d20206d303024777f6dfc2e7c7c3f1850e"},
     {file = "numpy-2.3.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e1ec5615b05369925bd1125f27df33f3b6c8bc10d788d5999ecd8769a1fa04db"},
     {file = "numpy-2.3.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:2e267c7da5bf7309670523896df97f93f6e469fb931161f483cd6882b3b1a5dc"},
+    {file = "numpy-2.3.3.tar.gz", hash = "sha256:ddc7c39727ba62b80dfdbedf400d1c10ddfa8eefbd7ec8dcb118be8b56d31029"},
 ]
 
 [[package]]
 name = "openai"
-version = "1.107.0"
+version = "1.107.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "openai-1.107.0-py3-none-any.whl", hash = "sha256:3dcfa3cbb116bd6924b27913b8da28c4a787379ff60049588547a1013e6d6438"},
-    {file = "openai-1.107.0.tar.gz", hash = "sha256:43e04927584e57d0e9e640ee0077c78baf8150098be96ebd5c512539b6c4e9a4"},
+    {file = "openai-1.107.2-py3-none-any.whl", hash = "sha256:d159d4f3ee3d9c717b248c5d69fe93d7773a80563c8b1ca8e9cad789d3cf0260"},
+    {file = "openai-1.107.2.tar.gz", hash = "sha256:a11fe8d4318e98e94309308dd3a25108dec4dfc1b606f9b1c5706e8d88bdd3cb"},
 ]
 
 [package.dependencies]
@@ -1880,14 +1881,14 @@ voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.36.0"
+version = "1.37.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "opentelemetry_api-1.36.0-py3-none-any.whl", hash = "sha256:02f20bcacf666e1333b6b1f04e647dc1d5111f86b8e510238fcc56d7762cda8c"},
-    {file = "opentelemetry_api-1.36.0.tar.gz", hash = "sha256:9a72572b9c416d004d492cbc6e61962c0501eaf945ece9b5a0f56597d8348aa0"},
+    {file = "opentelemetry_api-1.37.0-py3-none-any.whl", hash = "sha256:accf2024d3e89faec14302213bc39550ec0f4095d1cf5ca688e1bfb1c8612f47"},
+    {file = "opentelemetry_api-1.37.0.tar.gz", hash = "sha256:540735b120355bd5112738ea53621f8d5edb35ebcd6fe21ada3ab1c61d1cd9a7"},
 ]
 
 [package.dependencies]
@@ -1896,68 +1897,68 @@ typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.36.0"
+version = "1.37.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_common-1.36.0-py3-none-any.whl", hash = "sha256:0fc002a6ed63eac235ada9aa7056e5492e9a71728214a61745f6ad04b923f840"},
-    {file = "opentelemetry_exporter_otlp_proto_common-1.36.0.tar.gz", hash = "sha256:6c496ccbcbe26b04653cecadd92f73659b814c6e3579af157d8716e5f9f25cbf"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.37.0-py3-none-any.whl", hash = "sha256:53038428449c559b0c564b8d718df3314da387109c4d36bd1b94c9a641b0292e"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.37.0.tar.gz", hash = "sha256:c87a1bdd9f41fdc408d9cc9367bb53f8d2602829659f2b90be9f9d79d0bfe62c"},
 ]
 
 [package.dependencies]
-opentelemetry-proto = "1.36.0"
+opentelemetry-proto = "1.37.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-http"
-version = "1.36.0"
+version = "1.37.0"
 description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_http-1.36.0-py3-none-any.whl", hash = "sha256:3d769f68e2267e7abe4527f70deb6f598f40be3ea34c6adc35789bea94a32902"},
-    {file = "opentelemetry_exporter_otlp_proto_http-1.36.0.tar.gz", hash = "sha256:dd3637f72f774b9fc9608ab1ac479f8b44d09b6fb5b2f3df68a24ad1da7d356e"},
+    {file = "opentelemetry_exporter_otlp_proto_http-1.37.0-py3-none-any.whl", hash = "sha256:54c42b39945a6cc9d9a2a33decb876eabb9547e0dcb49df090122773447f1aef"},
+    {file = "opentelemetry_exporter_otlp_proto_http-1.37.0.tar.gz", hash = "sha256:e52e8600f1720d6de298419a802108a8f5afa63c96809ff83becb03f874e44ac"},
 ]
 
 [package.dependencies]
 googleapis-common-protos = ">=1.52,<2.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.36.0"
-opentelemetry-proto = "1.36.0"
-opentelemetry-sdk = ">=1.36.0,<1.37.0"
+opentelemetry-exporter-otlp-proto-common = "1.37.0"
+opentelemetry-proto = "1.37.0"
+opentelemetry-sdk = ">=1.37.0,<1.38.0"
 requests = ">=2.7,<3.0"
 typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.57b0"
+version = "0.58b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "opentelemetry_instrumentation-0.57b0-py3-none-any.whl", hash = "sha256:9109280f44882e07cec2850db28210b90600ae9110b42824d196de357cbddf7e"},
-    {file = "opentelemetry_instrumentation-0.57b0.tar.gz", hash = "sha256:f2a30135ba77cdea2b0e1df272f4163c154e978f57214795d72f40befd4fcf05"},
+    {file = "opentelemetry_instrumentation-0.58b0-py3-none-any.whl", hash = "sha256:50f97ac03100676c9f7fc28197f8240c7290ca1baa12da8bfbb9a1de4f34cc45"},
+    {file = "opentelemetry_instrumentation-0.58b0.tar.gz", hash = "sha256:df640f3ac715a3e05af145c18f527f4422c6ab6c467e40bd24d2ad75a00cb705"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.4,<2.0"
-opentelemetry-semantic-conventions = "0.57b0"
+opentelemetry-semantic-conventions = "0.58b0"
 packaging = ">=18.0"
 wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.36.0"
+version = "1.37.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "opentelemetry_proto-1.36.0-py3-none-any.whl", hash = "sha256:151b3bf73a09f94afc658497cf77d45a565606f62ce0c17acb08cd9937ca206e"},
-    {file = "opentelemetry_proto-1.36.0.tar.gz", hash = "sha256:0f10b3c72f74c91e0764a5ec88fd8f1c368ea5d9c64639fb455e2854ef87dd2f"},
+    {file = "opentelemetry_proto-1.37.0-py3-none-any.whl", hash = "sha256:8ed8c066ae8828bbf0c39229979bdf583a126981142378a9cbe9d6fd5701c6e2"},
+    {file = "opentelemetry_proto-1.37.0.tar.gz", hash = "sha256:30f5c494faf66f77faeaefa35ed4443c5edb3b0aa46dad073ed7210e1a789538"},
 ]
 
 [package.dependencies]
@@ -1965,35 +1966,35 @@ protobuf = ">=5.0,<7.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.36.0"
+version = "1.37.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "opentelemetry_sdk-1.36.0-py3-none-any.whl", hash = "sha256:19fe048b42e98c5c1ffe85b569b7073576ad4ce0bcb6e9b4c6a39e890a6c45fb"},
-    {file = "opentelemetry_sdk-1.36.0.tar.gz", hash = "sha256:19c8c81599f51b71670661ff7495c905d8fdf6976e41622d5245b791b06fa581"},
+    {file = "opentelemetry_sdk-1.37.0-py3-none-any.whl", hash = "sha256:8f3c3c22063e52475c5dbced7209495c2c16723d016d39287dfc215d1771257c"},
+    {file = "opentelemetry_sdk-1.37.0.tar.gz", hash = "sha256:cc8e089c10953ded765b5ab5669b198bbe0af1b3f89f1007d19acd32dc46dda5"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.36.0"
-opentelemetry-semantic-conventions = "0.57b0"
+opentelemetry-api = "1.37.0"
+opentelemetry-semantic-conventions = "0.58b0"
 typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.57b0"
+version = "0.58b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "opentelemetry_semantic_conventions-0.57b0-py3-none-any.whl", hash = "sha256:757f7e76293294f124c827e514c2a3144f191ef175b069ce8d1211e1e38e9e78"},
-    {file = "opentelemetry_semantic_conventions-0.57b0.tar.gz", hash = "sha256:609a4a79c7891b4620d64c7aac6898f872d790d75f22019913a660756f27ff32"},
+    {file = "opentelemetry_semantic_conventions-0.58b0-py3-none-any.whl", hash = "sha256:5564905ab1458b96684db1340232729fce3b5375a06e140e8904c78e4f815b28"},
+    {file = "opentelemetry_semantic_conventions-0.58b0.tar.gz", hash = "sha256:6bd46f51264279c433755767bb44ad00f1c9e2367e1b42af563372c5a6fa0c25"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.36.0"
+opentelemetry-api = "1.37.0"
 typing-extensions = ">=4.5.0"
 
 [[package]]
@@ -2342,21 +2343,21 @@ files = [
 
 [[package]]
 name = "protobuf"
-version = "6.32.0"
+version = "6.32.1"
 description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "protobuf-6.32.0-cp310-abi3-win32.whl", hash = "sha256:84f9e3c1ff6fb0308dbacb0950d8aa90694b0d0ee68e75719cb044b7078fe741"},
-    {file = "protobuf-6.32.0-cp310-abi3-win_amd64.whl", hash = "sha256:a8bdbb2f009cfc22a36d031f22a625a38b615b5e19e558a7b756b3279723e68e"},
-    {file = "protobuf-6.32.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d52691e5bee6c860fff9a1c86ad26a13afbeb4b168cd4445c922b7e2cf85aaf0"},
-    {file = "protobuf-6.32.0-cp39-abi3-manylinux2014_aarch64.whl", hash = "sha256:501fe6372fd1c8ea2a30b4d9be8f87955a64d6be9c88a973996cef5ef6f0abf1"},
-    {file = "protobuf-6.32.0-cp39-abi3-manylinux2014_x86_64.whl", hash = "sha256:75a2aab2bd1aeb1f5dc7c5f33bcb11d82ea8c055c9becbb41c26a8c43fd7092c"},
-    {file = "protobuf-6.32.0-cp39-cp39-win32.whl", hash = "sha256:7db8ed09024f115ac877a1427557b838705359f047b2ff2f2b2364892d19dacb"},
-    {file = "protobuf-6.32.0-cp39-cp39-win_amd64.whl", hash = "sha256:15eba1b86f193a407607112ceb9ea0ba9569aed24f93333fe9a497cf2fda37d3"},
-    {file = "protobuf-6.32.0-py3-none-any.whl", hash = "sha256:ba377e5b67b908c8f3072a57b63e2c6a4cbd18aea4ed98d2584350dbf46f2783"},
-    {file = "protobuf-6.32.0.tar.gz", hash = "sha256:a81439049127067fc49ec1d36e25c6ee1d1a2b7be930675f919258d03c04e7d2"},
+    {file = "protobuf-6.32.1-cp310-abi3-win32.whl", hash = "sha256:a8a32a84bc9f2aad712041b8b366190f71dde248926da517bde9e832e4412085"},
+    {file = "protobuf-6.32.1-cp310-abi3-win_amd64.whl", hash = "sha256:b00a7d8c25fa471f16bc8153d0e53d6c9e827f0953f3c09aaa4331c718cae5e1"},
+    {file = "protobuf-6.32.1-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d8c7e6eb619ffdf105ee4ab76af5a68b60a9d0f66da3ea12d1640e6d8dab7281"},
+    {file = "protobuf-6.32.1-cp39-abi3-manylinux2014_aarch64.whl", hash = "sha256:2f5b80a49e1eb7b86d85fcd23fe92df154b9730a725c3b38c4e43b9d77018bf4"},
+    {file = "protobuf-6.32.1-cp39-abi3-manylinux2014_x86_64.whl", hash = "sha256:b1864818300c297265c83a4982fd3169f97122c299f56a56e2445c3698d34710"},
+    {file = "protobuf-6.32.1-cp39-cp39-win32.whl", hash = "sha256:68ff170bac18c8178f130d1ccb94700cf72852298e016a2443bdb9502279e5f1"},
+    {file = "protobuf-6.32.1-cp39-cp39-win_amd64.whl", hash = "sha256:d0975d0b2f3e6957111aa3935d08a0eb7e006b1505d825f862a1fffc8348e122"},
+    {file = "protobuf-6.32.1-py3-none-any.whl", hash = "sha256:2601b779fc7d32a866c6b4404f9d42a3f67c5b9f3f15b4db3cccabe06b95c346"},
+    {file = "protobuf-6.32.1.tar.gz", hash = "sha256:ee2469e4a021474ab9baafea6cd070e5bf27c7d29433504ddea1a4ee5850f68d"},
 ]
 
 [[package]]
@@ -2510,69 +2511,75 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pymongo"
-version = "4.14.1"
+version = "4.15.0"
 description = "PyMongo - the Official MongoDB Python driver"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "pymongo-4.14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97f0da391fb32f989f0afcd1838faff5595456d24c56d196174eddbb7c3a494c"},
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-    {file = "pymongo-4.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c95ce2e0dcd9a556e1f51a4132db88c40e8e0a49c0b16d1dddba624f640895b"},
-    {file = "pymongo-4.14.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f7b965614c16ac7d2cf297fbfb16a9ec81c0493bd5916f455a8e8020e432300b"},
-    {file = "pymongo-4.14.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f81e8156a862ad8b44a065bd89978361a3054571e61b5e802ebdef91bb13ccad"},
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-    {file = "pymongo-4.14.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c6d426e70a35d1dd5003a535ac8c0683998bea783949daa980d70272baa5cb05"},
-    {file = "pymongo-4.14.1-cp310-cp310-win32.whl", hash = "sha256:8a4fe1b1603865e44c3dbce2b91ac2f18b1672208ff49203e8a480ab68a2d8f5"},
-    {file = "pymongo-4.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:27cb44c71e6f220b163e1d3c0dd18559e534d5d7cb7e16afa0cf1b7761403492"},
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-    {file = "pymongo-4.14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:95bfb5fe10a8aa11029868c403939945092fb8d160ca3a10d386778ed9623533"},
-    {file = "pymongo-4.14.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:44beff3470a6b1736f9e9cf7fb6477fdb2342b6f19a722cab3bbc989c5f3f693"},
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 [package.extras]
 docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1)"]
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 [[package]]
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 [package.dependencies]
@@ -3117,7 +3131,7 @@ numpy = ">=1.25.2,<2.6"
 [package.extras]
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 [[package]]
 name = "scrubadub"
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 python-versions = ">=3.12,<4.0"
-content-hash = "a35def51570153c3dfdf98be4c43c826b7fa810fe23147bb8fdfaa6b3cc087e8"
+content-hash = "e74591546f8b29ba9777554f943492602ae8e45af1d4fcc05b128e64e139145e"
diff --git a/pyproject.toml b/pyproject.toml
index c20a64cf..e36f4e6a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "solana-agent"
-version = "31.2.4"
+version = "31.2.5"
 description = "AI Agents for Solana"
 authors = ["Bevan Hunt <bevan@bevanhunt.com>"]
 license = "MIT"
@@ -24,9 +24,9 @@ testpaths = ["tests"]
 
 [tool.poetry.dependencies]
 python = ">=3.12,<4.0"
-openai = "1.107.0"
+openai = "1.107.2"
 pydantic = ">=2"
-pymongo = "4.14.1"
+pymongo = "4.15.0"
 zep-cloud = "3.4.3"
 instructor = "1.11.3"
 pinecone = { version = "7.3.0", extras = ["asyncio"] }
@@ -34,7 +34,7 @@ llama-index-core = "0.14.0"
 llama-index-embeddings-openai = "0.5.1"
 pypdf = "6.0.0"
 scrubadub = "2.0.1"
-logfire = "4.5.0"
+logfire = "4.7.0"
 typer = "0.17.4"
 rich = ">=13,<14.0"
 pillow = "11.3.0"
@@ -43,7 +43,7 @@ websockets = ">=13,<16"
 [tool.poetry.group.dev.dependencies]
 pytest = "^8.4.2"
 pytest-cov = "^7.0.0"
-pytest-asyncio = "^1.1.0"
+pytest-asyncio = "^1.2.0"
 pytest-mock = "^3.15.0"
 pytest-github-actions-annotate-failures = "^0.3.0"
 sphinx = "^8.2.3"
@@ -51,7 +51,7 @@ sphinx-rtd-theme = "^3.0.2"
 myst-parser = "^4.0.1"
 sphinx-autobuild = "^2025.08.25"
 mongomock = "^4.3.0"
-ruff = "^0.12.12"
+ruff = "^0.13.0"
 
 [tool.poetry.scripts]
 solana-agent = "solana_agent.cli:app"
diff --git a/solana_agent/domains/routing.py b/solana_agent/domains/routing.py
index 0db73f67..daa156f1 100644
--- a/solana_agent/domains/routing.py
+++ b/solana_agent/domains/routing.py
@@ -5,9 +5,13 @@
 class QueryAnalysis(BaseModel):
     """Analysis of a user query for routing purposes."""
 
-    primary_specialization: str = Field(..., description="Main specialization needed")
-    secondary_specializations: List[str] = Field(
-        ..., description="Other helpful specializations"
+    primary_agent: str = Field(
+        ...,
+        description="Name of the primary agent that should handle this query (must be one of the available agent names)",
+    )
+    secondary_agents: List[str] = Field(
+        ...,
+        description="Names of secondary agents that might be helpful (must be from the available agent names)",
     )
     complexity_level: int = Field(..., description="Complexity level (1-5)")
     topics: List[str] = Field(..., description="Key topics in the query")
diff --git a/solana_agent/services/routing.py b/solana_agent/services/routing.py
index 42390c7b..2e3c9fb3 100644
--- a/solana_agent/services/routing.py
+++ b/solana_agent/services/routing.py
@@ -81,26 +81,34 @@ async def _analyze_query(self, query: str) -> Dict[str, Any]:
 
         USER QUERY: {query}
 
+        INSTRUCTIONS:
+        - Look at the user query and match it to the most appropriate agent from the list above
+        - If the user mentions a specific topic or need that matches an agent's specialization, choose that agent
+        - Return the EXACT agent name (not the specialization description)
+
         Please determine:
-        1. Which agent is the primary best match for this query (must be one of the listed agents)
-        2. Any secondary agents that might be helpful (must be from the listed agents)
-        3. The complexity level (1-5, where 5 is most complex)
-        4. Any key topics or technologies mentioned
+        1. primary_agent: The exact name of the best matching agent (e.g., "onboarding", "support")
+        2. secondary_agents: Names of other agents that might help (empty list if none)
+        3. complexity_level: 1-5 (5 being most complex)
+        4. topics: Key topics mentioned
+        5. confidence: 0.0-1.0 (how confident you are in this routing decision)
         """
 
         try:
             analysis = await self.llm_provider.parse_structured_output(
                 prompt=prompt,
-                system_prompt="Match user queries to the most appropriate agent based on specializations.",
+                system_prompt="You are an expert at routing user queries to the most appropriate AI agent. Always return the exact agent name that best matches the user's needs based on the specializations provided. If the user mentions a specific topic, prioritize agents whose specialization matches that topic.",
                 model_class=QueryAnalysis,
                 api_key=self.api_key,
                 base_url=self.base_url,
                 model=self.model,
             )
 
+            logger.debug(f"LLM analysis result: {analysis}")
+
             return {
-                "primary_specialization": analysis.primary_specialization,
-                "secondary_specializations": analysis.secondary_specializations,
+                "primary_specialization": analysis.primary_agent,
+                "secondary_specializations": analysis.secondary_agents,
                 "complexity_level": analysis.complexity_level,
                 "topics": analysis.topics,
                 "confidence": analysis.confidence,
@@ -143,9 +151,11 @@ async def route_query(self, query: str) -> str:  # pragma: no cover
 
         # Always analyze with a small model to select the best agent
         analysis = await self._analyze_query(query)
+        logger.debug(f"Routing analysis for query '{query}': {analysis}")
         best_agent = await self._find_best_ai_agent(
             analysis["primary_specialization"], analysis["secondary_specializations"]
         )
+        logger.debug(f"Selected agent: {best_agent}")
         chosen = best_agent or next(iter(agents.keys()))
         self._last_agent = chosen
         return chosen
@@ -171,6 +181,7 @@ async def _find_best_ai_agent(
 
         # First, check if primary_specialization is directly an agent name
         if primary_specialization in ai_agents:
+            logger.debug(f"Direct agent match: {primary_specialization}")
             return primary_specialization
 
         # If not a direct agent name match, use specialization matching
@@ -185,6 +196,9 @@ async def _find_best_ai_agent(
                 or primary_specialization.lower() in agent.specialization.lower()
             ):
                 score += 10
+                logger.debug(
+                    f"Specialization match for {agent_id}: '{agent.specialization}' matches '{primary_specialization}'"
+                )
 
             # Check secondary specializations
             for sec_spec in secondary_specializations:
@@ -209,6 +223,8 @@ async def _find_best_ai_agent(
 
         # If no match found, return first agent as fallback
         if ai_agents:
-            return next(iter(ai_agents.keys()))
+            fallback_agent = next(iter(ai_agents.keys()))
+            logger.debug(f"No match found, using fallback agent: {fallback_agent}")
+            return fallback_agent
 
         return None