diff --git a/tests/test_bedrock_provider.py b/tests/test_bedrock_provider.py
index c868e9806..12a3c952d 100644
--- a/tests/test_bedrock_provider.py
+++ b/tests/test_bedrock_provider.py
@@ -35,12 +35,46 @@ def test_helpful_error_when_langchain_aws_absent(monkeypatch):
         create_llm_client("bedrock", "m").get_llm()
 
 
+def _capture_kwargs(monkeypatch):
+    """Stub _bedrock_class so the constructor kwargs are testable without the
+    optional langchain-aws extra installed."""
+    import tradingagents.llm_clients.bedrock_client as bc
+    captured = {}
+
+    class _FakeChat:
+        def __init__(self, **kwargs):
+            captured.update(kwargs)
+
+    monkeypatch.setattr(bc, "_bedrock_class", lambda: _FakeChat)
+    return captured
+
+
+@pytest.mark.unit
+def test_bearer_token_passed_as_api_key(monkeypatch):
+    # #1103: a Bedrock API key authenticates without AWS access keys.
+    captured = _capture_kwargs(monkeypatch)
+    monkeypatch.setenv("AWS_BEARER_TOKEN_BEDROCK", "bt-secret")
+    monkeypatch.setenv("AWS_DEFAULT_REGION", "us-east-1")
+    create_llm_client("bedrock", "us.anthropic.claude-opus-4-8-v1:0").get_llm()
+    assert captured["api_key"] == "bt-secret"
+    assert captured["region_name"] == "us-east-1"
+
+
+@pytest.mark.unit
+def test_no_bearer_token_omits_api_key(monkeypatch):
+    # Without a token, fall back to the AWS credential chain (no api_key kwarg).
+    captured = _capture_kwargs(monkeypatch)
+    monkeypatch.delenv("AWS_BEARER_TOKEN_BEDROCK", raising=False)
+    create_llm_client("bedrock", "us.anthropic.claude-opus-4-8-v1:0").get_llm()
+    assert "api_key" not in captured
+
+
 @pytest.mark.unit
 def test_construction_when_extra_installed(monkeypatch):
     pytest.importorskip("langchain_aws")
     import tradingagents.llm_clients.bedrock_client as bc
     monkeypatch.setattr(bc, "_BEDROCK_CLASS", None)
     monkeypatch.setenv("AWS_DEFAULT_REGION", "eu-west-1")
-    llm = create_llm_client("bedrock", "us.anthropic.claude-sonnet-4-6-v1:0").get_llm()
+    llm = create_llm_client("bedrock", "us.anthropic.claude-sonnet-5").get_llm()
     assert type(llm).__name__ == "NormalizedChatBedrockConverse"
     assert llm.region_name == "eu-west-1"
diff --git a/tradingagents/llm_clients/bedrock_client.py b/tradingagents/llm_clients/bedrock_client.py
index 2ddb48dd3..406c4ff08 100644
--- a/tradingagents/llm_clients/bedrock_client.py
+++ b/tradingagents/llm_clients/bedrock_client.py
@@ -41,11 +41,12 @@ def _bedrock_class():
 class BedrockClient(BaseLLMClient):
     """Client for Amazon Bedrock via the Converse API (langchain-aws).
 
-    Authentication uses the standard AWS credential chain (env vars,
-    ``~/.aws/credentials``, or an IAM role); set ``AWS_REGION`` /
-    ``AWS_DEFAULT_REGION`` and optionally ``AWS_PROFILE``. The model name is a
-    Bedrock model ID or cross-region inference profile ID, e.g.
-    ``us.anthropic.claude-opus-4-8-v1:0``.
+    Authentication is either a Bedrock API key (bearer token) via
+    ``AWS_BEARER_TOKEN_BEDROCK`` — no AWS access keys required — or the standard
+    AWS credential chain (env vars, ``~/.aws/credentials``, or an IAM role) with
+    optional ``AWS_PROFILE``. Set ``AWS_REGION`` / ``AWS_DEFAULT_REGION`` either
+    way (the token carries no region). The model name is a Bedrock model ID or
+    cross-region inference profile ID, e.g. ``us.anthropic.claude-opus-4-8-v1:0``.
     """
 
     def get_llm(self) -> Any:
@@ -59,6 +60,12 @@ class BedrockClient(BaseLLMClient):
             or _DEFAULT_REGION
         )
         llm_kwargs = {"model": self.model, "region_name": region}
+        # A Bedrock API key authenticates without AWS access keys. Passing it as
+        # api_key makes langchain-aws prefer bearer auth, so an ambient
+        # AWS_PROFILE / SigV4 credentials can't override it (#1103).
+        bearer_token = os.environ.get("AWS_BEARER_TOKEN_BEDROCK")
+        if bearer_token:
+            llm_kwargs["api_key"] = bearer_token
         for key in ("temperature", "max_tokens", "max_retries", "callbacks"):
             if key in self.kwargs:
                 llm_kwargs[key] = self.kwargs[key]