diff --git a/packages/napthaai/customs/prediction_request_rag/component.yaml b/packages/napthaai/customs/prediction_request_rag/component.yaml
index 5f668bb3..0f05f942 100644
--- a/packages/napthaai/customs/prediction_request_rag/component.yaml
+++ b/packages/napthaai/customs/prediction_request_rag/component.yaml
@@ -7,12 +7,12 @@ license: Apache-2.0
 aea_version: '>=1.0.0, <2.0.0'
 fingerprint:
   __init__.py: bafybeibt7f7crtwvmkg7spy3jhscmlqltvyblzp32g6gj44v7tlo5lycuq
-  prediction_request_rag.py: bafybeibtvuddvbhjlyd4sbk7rwz4mcsr4hiigfgrpdhzwa6vn6bhb6fboy
+  prediction_request_rag.py: bafybeicllugnruskdj7ipmrj2vrtlxmjpqtwlk4c3cfjttfzuvkeldp3m4
 fingerprint_ignore_patterns: []
 entry_point: prediction_request_rag.py
 callable: run
 params:
-  default_model: claude-3-sonnet-20240229
+  default_model: gpt-4-0125-preview
 dependencies:
   google-api-python-client:
     version: ==2.95.0
diff --git a/packages/napthaai/customs/prediction_request_rag/prediction_request_rag.py b/packages/napthaai/customs/prediction_request_rag/prediction_request_rag.py
index 3abe8283..09538603 100644
--- a/packages/napthaai/customs/prediction_request_rag/prediction_request_rag.py
+++ b/packages/napthaai/customs/prediction_request_rag/prediction_request_rag.py
@@ -40,11 +40,16 @@ class LLMClientManager:
     """Client context manager for LLMs."""
 
     def __init__(
-        self, api_keys: List, llm_provider: str = None, embedding_provider: str = None
+        self, api_keys: List, model: str = None, embedding_provider: str = None
     ):
         self.api_keys = api_keys
-        self.llm_provider = llm_provider
         self.embedding_provider = embedding_provider
+        if "gpt" in model:
+            self.llm_provider = "openai"
+        elif "claude" in model:
+            self.llm_provider = "anthropic"
+        else:
+            self.llm_provider = "openrouter"
 
     def __enter__(self):
         clients = []
@@ -220,6 +225,9 @@ def embeddings(self, model, input):
 }
 ALLOWED_TOOLS = [
     "prediction-request-rag",
+
+    # LEGACY
+    "prediction-request-rag-claude",
 ]
 ALLOWED_MODELS = list(LLM_SETTINGS.keys())
 DEFAULT_NUM_URLS = defaultdict(lambda: 3)
@@ -300,8 +308,8 @@ def multi_queries(
     model: str,
     num_queries: int,
     counter_callback: Optional[Callable[[int, int, str], None]] = None,
-    temperature: Optional[float] = LLM_SETTINGS["gpt-4-0125-preview"]["temperature"],
-    max_tokens: Optional[int] = LLM_SETTINGS["gpt-4-0125-preview"]["default_max_tokens"],
+    temperature: Optional[float] = LLM_SETTINGS["claude-3-sonnet-20240229"]["temperature"],
+    max_tokens: Optional[int] = LLM_SETTINGS["claude-3-sonnet-20240229"]["default_max_tokens"],
 ) -> List[str]:
     """Generate multiple queries for fetching information from the web."""
     url_query_prompt = URL_QUERY_PROMPT.format(
@@ -544,8 +552,8 @@ def fetch_additional_information(
     source_links: Optional[List[str]] = None,
     num_urls: Optional[int] = DEFAULT_NUM_URLS,
     num_queries: Optional[int] = DEFAULT_NUM_QUERIES,
-    temperature: Optional[float] = LLM_SETTINGS["gpt-4-0125-preview"]["temperature"],
-    max_tokens: Optional[int] = LLM_SETTINGS["gpt-4-0125-preview"]["default_max_tokens"],
+    temperature: Optional[float] = LLM_SETTINGS["claude-3-sonnet-20240229"]["temperature"],
+    max_tokens: Optional[int] = LLM_SETTINGS["claude-3-sonnet-20240229"]["default_max_tokens"],
 ) -> Tuple[str, Callable[[int, int, str], None]]:
     """Fetch additional information to help answer the user prompt."""
 
@@ -668,13 +676,15 @@ def parser_prediction_response(response: str) -> str:
 
 def run(**kwargs) -> Tuple[Optional[str], Any, Optional[Dict[str, Any]], Any]:
     """Run the task"""
+    tool = kwargs["tool"]
+    model = kwargs.get("model")
+    if "claude" in tool: # maintain backwards compatibility
+        model = "claude-3-sonnet-20240229" 
+    print(f"MODEL: {model}")
     with LLMClientManager(
-        kwargs["api_keys"], kwargs["llm_provider"], embedding_provider="openai"
+        kwargs["api_keys"], model, embedding_provider="openai"
     ):
-        tool = kwargs["tool"]
         prompt = extract_question(kwargs["prompt"])
-        model = kwargs.get("model")
-        print(f"MODEL: {model}")
         max_tokens = kwargs.get(
             "max_tokens", LLM_SETTINGS[model]["default_max_tokens"]
         )
diff --git a/packages/napthaai/customs/prediction_request_rag_cohere/component.yaml b/packages/napthaai/customs/prediction_request_rag_cohere/component.yaml
index 4de55b62..c4b43e84 100644
--- a/packages/napthaai/customs/prediction_request_rag_cohere/component.yaml
+++ b/packages/napthaai/customs/prediction_request_rag_cohere/component.yaml
@@ -8,7 +8,7 @@ license: Apache-2.0
 aea_version: '>=1.0.0, <2.0.0'
 fingerprint:
   __init__.py: bafybeiekjzoy2haayvkiwhb2u2epflpqxticud34mma3gdhfzgu36lxwiq
-  prediction_request_rag_cohere.py: bafybeig4oq3tdjuz2la2pz232u5m7347q7gplu5pw4vebbxteuiqw6hh3u
+  prediction_request_rag_cohere.py: bafybeib4jviue2jqktqbxca4gtzxrvvxi5oihhsbvarymiqyp3xkee7soi
 fingerprint_ignore_patterns: []
 entry_point: prediction_request_rag_cohere.py
 callable: run
diff --git a/packages/napthaai/customs/prediction_request_rag_cohere/prediction_request_rag_cohere.py b/packages/napthaai/customs/prediction_request_rag_cohere/prediction_request_rag_cohere.py
index 71ebc974..f9c1f7a0 100644
--- a/packages/napthaai/customs/prediction_request_rag_cohere/prediction_request_rag_cohere.py
+++ b/packages/napthaai/customs/prediction_request_rag_cohere/prediction_request_rag_cohere.py
@@ -40,11 +40,16 @@ class LLMClientManager:
     """Client context manager for LLMs."""
 
     def __init__(
-        self, api_keys: List, llm_provider: str = None, embedding_provider: str = None
+        self, api_keys: List, model: str = None, embedding_provider: str = None
     ):
         self.api_keys = api_keys
-        self.llm_provider = llm_provider
         self.embedding_provider = embedding_provider
+        if "gpt" in model:
+            self.llm_provider = "openai"
+        elif "claude" in model:
+            self.llm_provider = "anthropic"
+        else:
+            self.llm_provider = "openrouter"
 
     def __enter__(self):
         clients = []
@@ -642,13 +647,13 @@ def parser_prediction_response(response: str) -> str:
 
 def run(**kwargs) -> Tuple[Optional[str], Any, Optional[Dict[str, Any]], Any]:
     """Run the task"""
+    model = kwargs.get("model")
+    print(f"MODEL: {model}")
     with LLMClientManager(
-        kwargs["api_keys"], kwargs["llm_provider"], embedding_provider="openai"
+        kwargs["api_keys"], model, embedding_provider="openai"
     ):
         tool = kwargs["tool"]
-        model = kwargs.get("model")
         prompt = extract_question(kwargs["prompt"])
-        print(f"MODEL: {model}")
         max_tokens = kwargs.get(
             "max_tokens", LLM_SETTINGS[model]["default_max_tokens"]
         )
diff --git a/packages/napthaai/customs/prediction_request_reasoning/component.yaml b/packages/napthaai/customs/prediction_request_reasoning/component.yaml
index 6ca0a6a6..c4e2b520 100644
--- a/packages/napthaai/customs/prediction_request_reasoning/component.yaml
+++ b/packages/napthaai/customs/prediction_request_reasoning/component.yaml
@@ -7,12 +7,12 @@ license: Apache-2.0
 aea_version: '>=1.0.0, <2.0.0'
 fingerprint:
   __init__.py: bafybeib36ew6vbztldut5xayk5553rylrq7yv4cpqyhwc5ktvd4cx67vwu
-  prediction_request_reasoning.py: bafybeidiabgnlc453spgrdn7rhhl2xc3aa6zqeukkw2bthndbugtjf6bya
+  prediction_request_reasoning.py: bafybeidb43nygtvbhimnsd223ddpoii46dwirb5znmp2g473u4jii36jqa
 fingerprint_ignore_patterns: []
 entry_point: prediction_request_reasoning.py
 callable: run
 params:
-  default_model: claude-3-sonnet-20240229
+  default_model: gpt-4-0125-preview
 dependencies:
   google-api-python-client:
     version: ==2.95.0
diff --git a/packages/napthaai/customs/prediction_request_reasoning/prediction_request_reasoning.py b/packages/napthaai/customs/prediction_request_reasoning/prediction_request_reasoning.py
index 4ec69ef4..bf750419 100644
--- a/packages/napthaai/customs/prediction_request_reasoning/prediction_request_reasoning.py
+++ b/packages/napthaai/customs/prediction_request_reasoning/prediction_request_reasoning.py
@@ -43,11 +43,16 @@ class LLMClientManager:
     """Client context manager for LLMs."""
 
     def __init__(
-        self, api_keys: List, llm_provider: str = None, embedding_provider: str = None
+        self, api_keys: List, model: str = None, embedding_provider: str = None
     ):
         self.api_keys = api_keys
-        self.llm_provider = llm_provider
         self.embedding_provider = embedding_provider
+        if "gpt" in model:
+            self.llm_provider = "openai"
+        elif "claude" in model:
+            self.llm_provider = "anthropic"
+        else:
+            self.llm_provider = "openrouter"
 
     def __enter__(self):
         clients = []
@@ -223,6 +228,9 @@ def embeddings(self, model, input):
 }
 ALLOWED_TOOLS = [
     "prediction-request-reasoning",
+
+    # LEGACY
+    "prediction-request-reasoning-claude",
 ]
 ALLOWED_MODELS = list(LLM_SETTINGS.keys())
 DEFAULT_NUM_URLS = defaultdict(lambda: 3)
@@ -834,13 +842,15 @@ def extract_question(prompt: str) -> str:
 
 def run(**kwargs) -> Tuple[str, Optional[str], Optional[Dict[str, Any]], Any]:
     """Run the task"""
+    tool = kwargs["tool"]
+    model = kwargs.get("model")
+    if "claude" in tool: # maintain backwards compatibility
+        model = "claude-3-sonnet-20240229" 
+    print(f"MODEL: {model}")
     with LLMClientManager(
-        kwargs["api_keys"], kwargs["llm_provider"], embedding_provider="openai"
+        kwargs["api_keys"], model, embedding_provider="openai"
     ):
-        tool = kwargs["tool"]
-        model = kwargs.get("model")
         prompt = extract_question(kwargs["prompt"])
-        print(f"MODEL: {model}")
         max_tokens = kwargs.get(
             "max_tokens", LLM_SETTINGS[model]["default_max_tokens"]
         )
diff --git a/packages/napthaai/customs/prediction_url_cot/component.yaml b/packages/napthaai/customs/prediction_url_cot/component.yaml
index 7791b826..67f3e402 100644
--- a/packages/napthaai/customs/prediction_url_cot/component.yaml
+++ b/packages/napthaai/customs/prediction_url_cot/component.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 aea_version: '>=1.0.0, <2.0.0'
 fingerprint:
   __init__.py: bafybeiflni5dkn5fqe7fnu4lgbqxzfrgochhqfbgzwz3vlf5grijp3nkpm
-  prediction_url_cot.py: bafybeifrkisrrphzyhqnvjqtwxynue7xlsmlqhggm5vcuceod2sl4td7ei
+  prediction_url_cot.py: bafybeihebxfv4xj22nq4mkch6xuddcnu7jv473zec2n5p65oxy63asjudy
 fingerprint_ignore_patterns: []
 entry_point: prediction_url_cot.py
 callable: run
diff --git a/packages/napthaai/customs/prediction_url_cot/prediction_url_cot.py b/packages/napthaai/customs/prediction_url_cot/prediction_url_cot.py
index 74333f1f..fa20e274 100644
--- a/packages/napthaai/customs/prediction_url_cot/prediction_url_cot.py
+++ b/packages/napthaai/customs/prediction_url_cot/prediction_url_cot.py
@@ -19,11 +19,16 @@ class LLMClientManager:
     """Client context manager for LLMs."""
 
     def __init__(
-        self, api_keys: List, llm_provider: str = None, embedding_provider: str = None
+        self, api_keys: List, model: str = None, embedding_provider: str = None
     ):
         self.api_keys = api_keys
-        self.llm_provider = llm_provider
         self.embedding_provider = embedding_provider
+        if "gpt" in model:
+            self.llm_provider = "openai"
+        elif "claude" in model:
+            self.llm_provider = "anthropic"
+        else:
+            self.llm_provider = "openrouter"
 
     def __enter__(self):
         clients = []
@@ -180,6 +185,9 @@ def embeddings(self, model, input):
 }
 ALLOWED_TOOLS = [
     "prediction-url-cot",
+
+    # LEGACY
+    "prediction-url-cot-claude",
 ]
 ALLOWED_MODELS = list(LLM_SETTINGS.keys())
 NUM_QUERIES = 5
@@ -583,11 +591,13 @@ def parser_prediction_response(response: str) -> str:
 
 def run(**kwargs) -> Tuple[Optional[str], Any, Optional[Dict[str, Any]], Any]:
     """Run the task"""
-    with LLMClientManager(kwargs["api_keys"], kwargs["llm_provider"]):
-        tool = kwargs["tool"]
-        model = kwargs.get("model")
+    tool = kwargs["tool"]
+    model = kwargs.get("model")
+    if "claude" in tool: # maintain backwards compatibility
+        model = "claude-3-sonnet-20240229" 
+    print(f"MODEL: {model}")
+    with LLMClientManager(kwargs["api_keys"], model):
         prompt = extract_question(kwargs["prompt"])
-        print(f"MODEL: {model}")
         max_tokens = kwargs.get(
             "max_tokens", LLM_SETTINGS[model]["default_max_tokens"]
         )
diff --git a/packages/packages.json b/packages/packages.json
index 09274e0f..99cbd799 100644
--- a/packages/packages.json
+++ b/packages/packages.json
@@ -5,7 +5,7 @@
         "custom/valory/openai_request/0.1.0": "bafybeihjtddwwkvwzaltk6yhtkk3xxnwnkurdtyuy6ki5tpf7h5htvuxnq",
         "custom/valory/prediction_request_embedding/0.1.0": "bafybeifnz5fzxvzyj3mmjpfsre3nzbdieuyjvnxqxuplopp5taz4qw7ys4",
         "custom/valory/resolve_market/0.1.0": "bafybeiaag2e7rsdr3bwg6mlmfyom4vctsdapohco7z45pxhzjymepz3rya",
-        "custom/valory/prediction_request/0.1.0": "bafybeieq5lu3dtgz7svxr6eelbopyvravg3iiomvvtdv33ej5w7hgbjhja",
+        "custom/valory/prediction_request/0.1.0": "bafybeibnshbgciu6inzdjzxeysrwvsin4iitkgd4fkj7a2omjzbdrga2ue",
         "custom/valory/stability_ai_request/0.1.0": "bafybeicyyteycvzj4lk33p4t7mspfarc5d5ktbysu7oqkv6woo4aouxira",
         "custom/polywrap/prediction_with_research_report/0.1.0": "bafybeiewbcbfyjnyqyp4oou6ianxseakblwjyck22bd2doqojjk37uyxwy",
         "custom/jhehemann/prediction_sum_url_content/0.1.0": "bafybeiby55g53cvc4vpbgww5awrlf6x67h7q7pg5xlhwber75ejdkh4twa",
@@ -13,15 +13,15 @@
         "custom/nickcom007/sme_generation_request/0.1.0": "bafybeibqv4ru4lpufy2hvcb3swqhzuq2kejjxmlyepofx6l6mxce6lhiqq",
         "custom/nickcom007/prediction_request_sme/0.1.0": "bafybeigsszaat6k5m5a3ljyem7xdhjflpcm24imtcscgst3tghpwhamglu",
         "custom/napthaai/resolve_market_reasoning/0.1.0": "bafybeiewdqtfkee3od5kuktrhyzexy7466ea3w3to7vv6qnli6qutfrqaa",
-        "custom/napthaai/prediction_request_rag/0.1.0": "bafybeigb7hfqcuvkvsc54526hxwhl6utfj44dnbwiyabcdbghlr5ctkwuu",
-        "custom/napthaai/prediction_request_reasoning/0.1.0": "bafybeiati546f5fyhtwv6yo7zaq3xwtb635p3jp3h3f546stknpbkkyhou",
+        "custom/napthaai/prediction_request_rag/0.1.0": "bafybeif7ufhrlhpuegm6kpiw6jzye6jmp4fjvxgn3hwcv4vkolrrrmidmy",
+        "custom/napthaai/prediction_request_reasoning/0.1.0": "bafybeifzkvc6j5wbbremt2jqig4ozaackzpz3o5okkoihmm3wdpptpviz4",
         "custom/valory/prepare_tx/0.1.0": "bafybeibjqckeb73df724lr4xkrmeh3woqwas4mswa7au65xnwag2edad2e",
         "custom/valory/short_maker/0.1.0": "bafybeif63rt4lkopu3rc3l7sg6tebrrwg2lxqufjx6dx4hoda5yzax43fa",
-        "custom/napthaai/prediction_url_cot/0.1.0": "bafybeidk6s4nqtow6dxmslhjtxzbbnhzpeogyy33e2zpjmqdjijtqb6rz4",
+        "custom/napthaai/prediction_url_cot/0.1.0": "bafybeic3ch7wfhxqvwgoud7xotuu3khs4xch3ej35kox2gulya2hv65wbu",
         "custom/napthaai/prediction_url_cot_claude/0.1.0": "bafybeicbjywni5hx5ssoiv6tnnjbqzsck6cmtsdpr6m562z6afogz5eh44",
         "custom/napthaai/prediction_request_reasoning_claude/0.1.0": "bafybeihtx2cejxoy42jwk2i5m4evfzz537aic5njuawxnzdzwlo63kdduq",
         "custom/napthaai/prediction_request_rag_claude/0.1.0": "bafybeickr32t7nmapuoymjyo3cf5rr2v2zapksxcivuqsgjr2gn6zo6y7y",
-        "custom/napthaai/prediction_request_rag_cohere/0.1.0": "bafybeig3xsmmb4bgbjong6uzvnurf4mwdisqwp3eidmeuo7hj42wkcbymm",
+        "custom/napthaai/prediction_request_rag_cohere/0.1.0": "bafybeie2qi27usujclcje524qu4w6iv3viouq3pxhs2yft3aw26nnerla4",
         "protocol/valory/acn_data_share/0.1.0": "bafybeih5ydonnvrwvy2ygfqgfabkr47s4yw3uqxztmwyfprulwfsoe7ipq",
         "protocol/valory/websocket_client/0.1.0": "bafybeifjk254sy65rna2k32kynzenutujwqndap2r222afvr3zezi27mx4",
         "contract/valory/agent_mech/0.1.0": "bafybeiah6b5epo2hlvzg5rr2cydgpp2waausoyrpnoarf7oa7bw33rex34",
diff --git a/packages/valory/customs/prediction_request/component.yaml b/packages/valory/customs/prediction_request/component.yaml
index a5696269..fb8ca1e7 100644
--- a/packages/valory/customs/prediction_request/component.yaml
+++ b/packages/valory/customs/prediction_request/component.yaml
@@ -7,7 +7,7 @@ license: Apache-2.0
 aea_version: '>=1.0.0, <2.0.0'
 fingerprint:
   __init__.py: bafybeibbn67pnrrm4qm3n3kbelvbs3v7fjlrjniywmw2vbizarippidtvi
-  prediction_request.py: bafybeif3s6wd3gotqpg6qdcs7zjszhffkyffeb554r2j5xvtmrbsxy7oca
+  prediction_request.py: bafybeigf5k62mxbmcrvjvsnixpbn3hvxlp2l62sk7jtx5vs7fdg5cgtfxe
 fingerprint_ignore_patterns: []
 entry_point: prediction_request.py
 callable: run
diff --git a/packages/valory/customs/prediction_request/prediction_request.py b/packages/valory/customs/prediction_request/prediction_request.py
index a2919f2d..1f628091 100644
--- a/packages/valory/customs/prediction_request/prediction_request.py
+++ b/packages/valory/customs/prediction_request/prediction_request.py
@@ -44,9 +44,14 @@
 class LLMClientManager:
     """Client context manager for LLMs."""
 
-    def __init__(self, api_keys: List, llm_provider: str = None):
+    def __init__(self, api_keys: List, model: str = None):
         self.api_keys = api_keys
-        self.llm_provider = llm_provider
+        if "gpt" in model:
+            self.llm_provider = "openai"
+        elif "claude" in model:
+            self.llm_provider = "anthropic"
+        else:
+            self.llm_provider = "openrouter"
 
     def __enter__(self):
         global client
@@ -219,6 +224,10 @@ def count_tokens(text: str, model: str) -> int:
     "prediction-offline",
     "prediction-online",
     # "prediction-online-summarized-info",
+
+    # LEGACY
+    "claude-prediction-offline",
+    "claude-prediction-online",
 ]
 ALLOWED_MODELS = list(LLM_SETTINGS.keys())
 # the default number of URLs to fetch online information for
@@ -653,11 +662,13 @@ def adjust_additional_information(
 
 def run(**kwargs) -> Tuple[str, Optional[str], Optional[Dict[str, Any]], Any]:
     """Run the task"""
-    with LLMClientManager(kwargs["api_keys"], kwargs["llm_provider"]):
-        tool = kwargs["tool"]
+    tool = kwargs["tool"]
+    engine = kwargs.get("model")
+    if "claude" in tool: # maintain backwards compatibility
+        engine = "claude-3-sonnet-20240229" 
+    print(f"ENGINE: {engine}")
+    with LLMClientManager(kwargs["api_keys"], engine):
         prompt = kwargs["prompt"]
-        engine = kwargs.get("model")
-        print(f"ENGINE: {engine}")
         max_tokens = kwargs.get(
             "max_tokens", LLM_SETTINGS[engine]["default_max_tokens"]
         )
diff --git a/poetry.lock b/poetry.lock
index 18486987..1b1c0a14 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,88 +1,88 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
-version = "3.9.3"
+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"},
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 [package.dependencies]
@@ -779,63 +779,63 @@ requests = "*"
 
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 ]
 
 [package.dependencies]
@@ -2203,13 +2203,13 @@ requests = ">=2.11"
 
 [[package]]
 name = "itsdangerous"
-version = "2.1.2"
+version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -2231,13 +2231,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.3.2"
+version = "1.4.0"
 description = "Lightweight pipelining with Python functions"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -2326,17 +2326,21 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langcodes"
-version = "3.3.0"
+version = "3.4.0"
 description = "Tools for labeling human languages with IETF language tags"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
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+language-data = ">=1.2"
+
 [package.extras]
-data = ["language-data (>=1.1,<2.0)"]
+build = ["build", "twine"]
+test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "langsmith"
@@ -2353,6 +2357,24 @@ files = [
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
+[[package]]
+name = "language-data"
+version = "1.2.0"
+description = "Supplementary data about languages used by the langcodes module"
+optional = false
+python-versions = "*"
+files = [
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+marisa-trie = ">=0.7.7"
+
+[package.extras]
+build = ["build", "twine"]
+test = ["pytest", "pytest-cov"]
+
 [[package]]
 name = "lru-dict"
 version = "1.2.0"
@@ -2635,6 +2657,90 @@ files = [
 [package.dependencies]
 lxml = "*"
 
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+version = "1.1.0"
+description = "Static memory-efficient and fast Trie-like structures for Python."
+optional = false
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+
+[package.extras]
+test = ["hypothesis", "pytest", "readme-renderer"]
+
 [[package]]
 name = "markdownify"
 version = "0.11.6"
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+version = "1.17.3"
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 python-versions = "*"
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 ]
 
 [package.dependencies]
@@ -3509,28 +3615,29 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.2.0"
-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "4.2.1"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
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 test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
+type = ["mypy (>=1.8)"]
 
 [[package]]
 name = "pluggy"
-version = "1.4.0"
+version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -3661,41 +3768,41 @@ files = [
 
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-version = "3.4.0"
+version = "3.5.0"
 description = "Apache Pulsar Python client library"
 optional = false
 python-versions = "*"
 files = [
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 [package.dependencies]
@@ -4344,104 +4451,104 @@ test = ["timeout-decorator"]
 
 [[package]]
 name = "regex"
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 ]
 
 [package.dependencies]
-huggingface_hub = ">=0.16.4,<1.0"
+huggingface-hub = ">=0.16.4,<1.0"
 
 [package.extras]
 dev = ["tokenizers[testing]"]
-docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
-testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
+docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
 [[package]]
 name = "toml"
@@ -5603,13 +5700,13 @@ files = [
 
 [[package]]
 name = "virtualenv"
-version = "20.25.1"
+version = "20.26.0"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -5618,7 +5715,7 @@ filelock = ">=3.12.2,<4"
 platformdirs = ">=3.9.1,<5"
 
 [package.extras]
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 [[package]]
@@ -5787,21 +5884,21 @@ wasabi = ">=0.9.1,<1.2.0"
 
 [[package]]
 name = "web3"
-version = "6.16.0"
+version = "6.17.2"
 description = "web3.py"
 optional = false
 python-versions = ">=3.7.2"
 files = [
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 [package.dependencies]
 aiohttp = ">=3.7.4.post0"
 eth-abi = ">=4.0.0"
-eth-account = ">=0.8.0"
+eth-account = ">=0.8.0,<0.13"
 eth-hash = {version = ">=0.5.1", extras = ["pycryptodome"]}
-eth-typing = ">=3.0.0"
+eth-typing = ">=3.0.0,<4.2.0 || >4.2.0"
 eth-utils = ">=2.1.0"
 hexbytes = ">=0.1.0,<0.4.0"
 jsonschema = ">=4.0.0"
@@ -5814,11 +5911,10 @@ typing-extensions = ">=4.0.1"
 websockets = ">=10.0.0"
 
 [package.extras]
-dev = ["black (>=22.1.0)", "build (>=0.9.0)", "bumpversion", "eth-tester[py-evm] (==v0.9.1-b.2)", "flake8 (==3.8.3)", "flaky (>=3.7.0)", "hypothesis (>=3.31.2)", "importlib-metadata (<5.0)", "ipfshttpclient (==0.8.0a2)", "isort (>=5.11.0)", "mypy (==1.4.1)", "py-geth (>=3.14.0)", "pytest (>=7.0.0)", "pytest-asyncio (>=0.18.1,<0.23)", "pytest-mock (>=1.10)", "pytest-watch (>=4.2)", "pytest-xdist (>=1.29)", "setuptools (>=38.6.0)", "sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)", "tox (>=3.18.0)", "tqdm (>4.32)", "twine (>=1.13)", "types-protobuf (==3.19.13)", "types-requests (>=2.26.1)", "types-setuptools (>=57.4.4)", "when-changed (>=0.3.0)"]
+dev = ["build (>=0.9.0)", "bumpversion", "eth-tester[py-evm] (>=0.11.0b1,<0.12.0b1)", "eth-tester[py-evm] (>=0.9.0b1,<0.10.0b1)", "flaky (>=3.7.0)", "hypothesis (>=3.31.2)", "importlib-metadata (<5.0)", "ipfshttpclient (==0.8.0a2)", "pre-commit (>=2.21.0)", "py-geth (>=3.14.0)", "pytest (>=7.0.0)", "pytest-asyncio (>=0.18.1,<0.23)", "pytest-mock (>=1.10)", "pytest-watch (>=4.2)", "pytest-xdist (>=1.29)", "setuptools (>=38.6.0)", "sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)", "tox (>=3.18.0)", "tqdm (>4.32)", "twine (>=1.13)", "when-changed (>=0.3.0)"]
 docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)"]
 ipfs = ["ipfshttpclient (==0.8.0a2)"]
-linter = ["black (>=22.1.0)", "flake8 (==3.8.3)", "isort (>=5.11.0)", "mypy (==1.4.1)", "types-protobuf (==3.19.13)", "types-requests (>=2.26.1)", "types-setuptools (>=57.4.4)"]
-tester = ["eth-tester[py-evm] (==v0.9.1-b.2)", "py-geth (>=3.14.0)"]
+tester = ["eth-tester[py-evm] (>=0.11.0b1,<0.12.0b1)", "eth-tester[py-evm] (>=0.9.0b1,<0.10.0b1)", "py-geth (>=3.14.0)"]
 
 [[package]]
 name = "websocket-client"
diff --git a/tests/test_tools.py b/tests/test_tools.py
index db090859..c2095623 100644
--- a/tests/test_tools.py
+++ b/tests/test_tools.py
@@ -82,19 +82,12 @@ def test_run(self) -> None:
         for model in self.models:
             for tool in self.tools:
                 for prompt in self.prompts:
-                    if "gpt" in model:
-                        llm_provider = "openai"
-                    elif "claude" in model:
-                        llm_provider = "anthropic"
-                    else:
-                        llm_provider = "openrouter"
                     kwargs = dict(
                         prompt=prompt,
                         tool=tool,
                         api_keys=self.keys,
                         counter_callback=TokenCounterCallback(),
                         model=model,
-                        llm_provider=llm_provider,
                     )
                     func = getattr(self.tool_module, self.tool_callable)
                     response = func(**kwargs)