diff --git a/django_app/poetry.lock b/django_app/poetry.lock
index c6bec269e..2d6cf3fcf 100644
--- a/django_app/poetry.lock
+++ b/django_app/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.3.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
@@ -2047,65 +2047,69 @@ error-tracking = ["ddtrace (>=3,<5)"]
 
 [[package]]
 name = "ddtrace"
-version = "4.10.3"
+version = "4.11.0"
 description = "Datadog APM client library"
 optional = false
 python-versions = "<3.15,>=3.9"
 groups = ["main"]
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+    {file = "ddtrace-4.11.0-cp314-cp314-win_amd64.whl", hash = "sha256:3bebf3cb12ac51c422ad1ed74873746b8398cce845075b234115c2f518a7a652"},
+    {file = "ddtrace-4.11.0-cp314-cp314-win_arm64.whl", hash = "sha256:f596cb2da582600e091c8174ab4f8e44bf4f05c50c03cc450e0378c516e0c6e3"},
+    {file = "ddtrace-4.11.0-cp315-cp315-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9d9a7c4644e4ffc858e951eeab37ab86e9b717ef1bc2f2a47de69f1ec373bccb"},
+    {file = "ddtrace-4.11.0-cp315-cp315-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b49433f0e85e16c34f578e01ec4e263ab5181d9636635add8d6194bd47dd163c"},
+    {file = "ddtrace-4.11.0-cp315-cp315-musllinux_1_2_aarch64.whl", hash = "sha256:2affbac04583808cba374976d07e59a4fe156d1de122f8def30550bf7717b745"},
+    {file = "ddtrace-4.11.0-cp315-cp315-musllinux_1_2_x86_64.whl", hash = "sha256:51a28ab8072c741e104d8c6f47d990eb5989a359b7ea4d91bab7c5c1f5c1a03c"},
+    {file = "ddtrace-4.11.0-cp39-cp39-macosx_14_0_arm64.whl", hash = "sha256:e4706b45074d80aecd357274f1a8257c73967250e78ac9d46bdc7df6aa78ba86"},
+    {file = "ddtrace-4.11.0-cp39-cp39-macosx_14_0_x86_64.whl", hash = "sha256:b5da09a248c712d023dfffb085b3f62ecefd1a1d5d1ee4ba1da6852879bea771"},
+    {file = "ddtrace-4.11.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:019071f74b30507c82c8acba03ba24fe5338d0b51de561640379d8de9689d247"},
+    {file = "ddtrace-4.11.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7c5de4a48d9304cc171171c032c5f0a472f1cd498b22f4e3563738e053c91585"},
+    {file = "ddtrace-4.11.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7707a9fcccc2d99e90e27788a494b4603d9d99551c2fdc1aa41dd453ee913d77"},
+    {file = "ddtrace-4.11.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:792670a1a7d6ec35321cc46fa4a7ca97464cecfc54d075ed6f629d90af1f6567"},
+    {file = "ddtrace-4.11.0-cp39-cp39-win32.whl", hash = "sha256:27ffca4b2555dff543f3fe2df88ef70492cb6dc1df523550803e3f3175bc7277"},
+    {file = "ddtrace-4.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:73b128817039e626f557b4c035d9756209ba90a9a14595b13596f7100810fe86"},
+    {file = "ddtrace-4.11.0.tar.gz", hash = "sha256:260c5b46e80565f4fd08cec2650f707627fb57cd6f8951a2d8c9e6a02b490074"},
 ]
 
 [package.dependencies]
@@ -3478,7 +3482,7 @@ files = [
 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
 grpcio = ">=1.71.2"
-protobuf = ">=5.26.1,<6.0.dev0"
+protobuf = ">=5.26.1,<6.0dev"
 
 [[package]]
 name = "h11"
@@ -4005,7 +4009,7 @@ files = [
 
 [package.dependencies]
 attrs = ">=22.2.0"
-jsonschema-specifications = ">=2023.3.6"
+jsonschema-specifications = ">=2023.03.6"
 referencing = ">=0.28.4"
 rpds-py = ">=0.25.0"
 
@@ -6031,7 +6035,7 @@ files = [
 ]
 
 [package.dependencies]
-certifi = ">=2024.7.4"
+certifi = ">=2024.07.04"
 Events = "*"
 python-dateutil = "*"
 requests = ">=2.32.0,<3.0.0"
@@ -8616,10 +8620,10 @@ files = [
 ]
 
 [package.dependencies]
-botocore = ">=1.37.4,<2.0a0"
+botocore = ">=1.37.4,<2.0a.0"
 
 [package.extras]
-crt = ["botocore[crt] (>=1.37.4,<2.0a0)"]
+crt = ["botocore[crt] (>=1.37.4,<2.0a.0)"]
 
 [[package]]
 name = "safetensors"
@@ -11460,9 +11464,9 @@ files = [
 ]
 
 [package.extras]
-cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and python_version < \"3.14\"", "cffi (>=2.0.0b0) ; platform_python_implementation != \"PyPy\" and python_version >= \"3.14\""]
+cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and python_version < \"3.14\"", "cffi (>=2.0.0b) ; platform_python_implementation != \"PyPy\" and python_version >= \"3.14\""]
 
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.12,<3.13"
-content-hash = "fa16631f516a858827a987eeb5d50ec37aba45aa095581c8480fd57a653f5f09"
+content-hash = "0ab7c6106d527e74f7ecc15e0a6cfd4e8190c765f6e811864a829bbee3ce8bee"
diff --git a/django_app/pyproject.toml b/django_app/pyproject.toml
index eb8857a9c..68871aa48 100644
--- a/django_app/pyproject.toml
+++ b/django_app/pyproject.toml
@@ -58,7 +58,7 @@ mohawk = "^1.1.0"
 uwotm8 = "^0.1.6"
 pymupdf = "^1.27.2"
 openpyxl = "^3.1.5"
-ddtrace = "^4.10.3"
+ddtrace = "^4.11.0"
 django-requestlogs = "^0.8"
 unoserver = "^3.6"
 coverage = "^7.13.5"
diff --git a/django_app/redbox_app/settings.py b/django_app/redbox_app/settings.py
index 2f4a4d5e0..df5faf507 100644
--- a/django_app/redbox_app/settings.py
+++ b/django_app/redbox_app/settings.py
@@ -355,6 +355,9 @@ def filter_transactions(event, _hint):
 
 LOG_LEVEL = env.str("DJANGO_LOG_LEVEL", "WARNING")
 LOG_FORMAT = env.str("DJANGO_LOG_FORMAT", "asim_formatter")
+DD_TRACE_DEBUG_ENABLED = env.bool("DD_TRACE_DEBUG", default=False)
+DD_TRACE_LOG_LEVEL = env.str("DD_TRACE_LOG_LEVEL", "DEBUG" if DD_TRACE_DEBUG_ENABLED else "ERROR")
+DD_TRACE_LOG_HANDLER = "console" if DD_TRACE_DEBUG_ENABLED else "asim"
 LOGGING = {
     "version": 1,
     "disable_existing_loggers": False,
@@ -412,8 +415,8 @@ def filter_transactions(event, _hint):
             "level": "WARNING",
         },
         "ddtrace": {
-            "handlers": ["asim"],
-            "level": "ERROR",
+            "handlers": [DD_TRACE_LOG_HANDLER],
+            "level": DD_TRACE_LOG_LEVEL,
             "propagate": False,
         },
     },
@@ -493,7 +496,7 @@ def filter_transactions(event, _hint):
 
 EMBEDDING_BACKEND = env.str("EMBEDDING_BACKEND", "amazon.titan-embed-text-v2:0")
 
-DEFAULT_MODEL_ID = env.str("DEFAULT_MODEL_ID", "anthropic.claude-3-sonnet-20240229-v1:0")
+DEFAULT_MODEL_ID = env.str("DEFAULT_MODEL_ID", "claude-sonnet-4-6")
 
 WEB_SEARCH_API_LIMIT = env.int("WEB_SEARCH_API_LIMIT", 100)
 
diff --git a/django_app/start.sh b/django_app/start.sh
index f37ec2c89..7b2bcff9d 100644
--- a/django_app/start.sh
+++ b/django_app/start.sh
@@ -2,6 +2,13 @@
 
 PORT=8080
 
+if [ "${REDBOX_ENABLE_DD_DIAGNOSTICS:-false}" = "1" ] || [ "${REDBOX_ENABLE_DD_DIAGNOSTICS:-false}" = "true" ] || [ "${REDBOX_ENABLE_DD_DIAGNOSTICS:-false}" = "TRUE" ]; then
+	export DD_TRACE_DEBUG=true
+	export DD_TRACE_LOG_LEVEL=DEBUG
+	export REDBOX_BEDROCK_DIAGNOSTICS=true
+	echo "Datadog diagnostics mode enabled"
+fi
+
 venv/bin/django-admin migrate
 venv/bin/django-admin collectstatic --noinput
 venv/bin/django-admin create_admin_user
diff --git a/poetry.lock b/poetry.lock
index 71048ac14..95c2d01c0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.3.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
@@ -2001,65 +2001,69 @@ error-tracking = ["ddtrace (>=3,<5)"]
 
 [[package]]
 name = "ddtrace"
-version = "4.10.3"
+version = "4.11.0"
 description = "Datadog APM client library"
 optional = false
 python-versions = "<3.15,>=3.9"
 groups = ["main"]
 files = [
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-    {file = "ddtrace-4.10.3-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:10df59249f876781467f808a998b662b80d817ec236633993dcf0d46b0ebc0b4"},
-    {file = "ddtrace-4.10.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:14f92e9412beb08d189b8235dd3c55993b092f1d9d286da664c777dceba51c88"},
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-    {file = "ddtrace-4.10.3-cp310-cp310-win32.whl", hash = "sha256:670dfa84819b3f01143899d7478e1e2109ad9cd084d65a9610bc08c479ebb19a"},
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+    {file = "ddtrace-4.11.0.tar.gz", hash = "sha256:260c5b46e80565f4fd08cec2650f707627fb57cd6f8951a2d8c9e6a02b490074"},
 ]
 
 [package.dependencies]
@@ -3074,7 +3078,6 @@ python-versions = ">=3.10"
 groups = ["docs"]
 files = [
     {file = "griffe-2.0.0-py3-none-any.whl", hash = "sha256:5418081135a391c3e6e757a7f3f156f1a1a746cc7b4023868ff7d5e2f9a980aa"},
-    {file = "griffe-2.0.0.tar.gz", hash = "sha256:c68979cd8395422083a51ea7cf02f9c119d889646d99b7b656ee43725de1b80f"},
 ]
 
 [package.dependencies]
@@ -3109,7 +3112,6 @@ python-versions = ">=3.10"
 groups = ["docs"]
 files = [
     {file = "griffecli-2.0.0-py3-none-any.whl", hash = "sha256:9f7cd9ee9b21d55e91689358978d2385ae65c22f307a63fb3269acf3f21e643d"},
-    {file = "griffecli-2.0.0.tar.gz", hash = "sha256:312fa5ebb4ce6afc786356e2d0ce85b06c1c20d45abc42d74f0cda65e159f6ef"},
 ]
 
 [package.dependencies]
@@ -3125,7 +3127,6 @@ python-versions = ">=3.10"
 groups = ["docs"]
 files = [
     {file = "griffelib-2.0.0-py3-none-any.whl", hash = "sha256:01284878c966508b6d6f1dbff9b6fa607bc062d8261c5c7253cb285b06422a7f"},
-    {file = "griffelib-2.0.0.tar.gz", hash = "sha256:e504d637a089f5cab9b5daf18f7645970509bf4f53eda8d79ed71cce8bd97934"},
 ]
 
 [package.extras]
@@ -3859,7 +3860,7 @@ files = [
 
 [package.dependencies]
 attrs = ">=22.2.0"
-jsonschema-specifications = ">=2023.3.6"
+jsonschema-specifications = ">=2023.03.6"
 referencing = ">=0.28.4"
 rpds-py = ">=0.25.0"
 
@@ -8431,10 +8432,10 @@ files = [
 ]
 
 [package.dependencies]
-botocore = ">=1.37.4,<2.0a0"
+botocore = ">=1.37.4,<2.0a.0"
 
 [package.extras]
-crt = ["botocore[crt] (>=1.37.4,<2.0a0)"]
+crt = ["botocore[crt] (>=1.37.4,<2.0a.0)"]
 
 [[package]]
 name = "safetensors"
@@ -10555,4 +10556,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.12,<3.13"
-content-hash = "51d47613605e10651f246bf674602f731818af13e0eebd0f958b76a8c58244ba"
+content-hash = "ad437910b7fa8e2080724a8a71cf4a5ec29e0103c54f5eec1d802a03824f4c73"
diff --git a/pyproject.toml b/pyproject.toml
index 22c611f0b..db1150275 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,7 +20,7 @@ django = "5.2.13"
 django-staff-sso-client = "^5.2.0"
 dbt-copilot-python = "^2.1.0"
 uwotm8 = "^0.1.6"
-ddtrace = "^4.10.3"
+ddtrace = "^4.11.0"
 django-log-formatter-asim = "^1.3.0"
 django-requestlogs = "^0.8"
 openpyxl = "^3.1.5"
diff --git a/redbox/poetry.lock b/redbox/poetry.lock
index e6e6dd017..394b88b4d 100644
--- a/redbox/poetry.lock
+++ b/redbox/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
@@ -1633,65 +1633,69 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "ddtrace"
-version = "4.10.3"
+version = "4.11.0"
 description = "Datadog APM client library"
 optional = false
 python-versions = "<3.15,>=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -9556,4 +9560,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.12,<3.13"
-content-hash = "f9553c58e2381bac182305b849e73cb046f61fa4ae35bbe5830934ca88c176d7"
+content-hash = "440a328efca0942ed7cbce12425dfdb61d7809c02ac08485983adcae9d4b325f"
diff --git a/redbox/pyproject.toml b/redbox/pyproject.toml
index beed4c1e7..ce7ce7179 100644
--- a/redbox/pyproject.toml
+++ b/redbox/pyproject.toml
@@ -33,7 +33,7 @@ mohawk = "^1.1.0"
 django-waffle = "^4.2.0"
 langchain-mcp-adapters = "^0.0.11"
 pymupdf = "^1.26.0"
-ddtrace = "^4.10.3"
+ddtrace = "^4.11.0"
 django-requestlogs = "^0.8"
 django-log-formatter-asim = "^1.3.0"
 pytest = "^8.4.2"
diff --git a/redbox/redbox/chains/components.py b/redbox/redbox/chains/components.py
index 9fffa4595..1f935d74f 100644
--- a/redbox/redbox/chains/components.py
+++ b/redbox/redbox/chains/components.py
@@ -30,7 +30,7 @@
     KnowledgeBaseTabularMetadataRetriever,
     TabularMetadataRetriever,
 )
-from redbox.transform import bedrock_tokeniser
+from redbox.transform import bedrock_tokeniser, ensure_bedrock_client_token_metrics
 
 logger = logging.getLogger(__name__)
 load_dotenv()
@@ -46,6 +46,8 @@ def get_chat_llm(
     ai_settings: AISettings = AISettings(),
     tools: list[StructuredTool] | None = None,
 ):
+    ensure_bedrock_client_token_metrics()
+
     fallback_backend = ChatLLMBackend(
         name="anthropic.claude-3-7-sonnet-20250219-v1:0",
         provider="bedrock",
diff --git a/redbox/redbox/graph/nodes/tools.py b/redbox/redbox/graph/nodes/tools.py
index 64be4e664..375ecb453 100644
--- a/redbox/redbox/graph/nodes/tools.py
+++ b/redbox/redbox/graph/nodes/tools.py
@@ -43,7 +43,13 @@
     get_knowledge_base,
 )
 from redbox.retriever.retrievers import SchematisedTabularChunkRetriever, query_to_documents
-from redbox.transform import bedrock_tokeniser, merge_documents, sort_documents
+from redbox.transform import (
+    annotate_span_with_token_metrics,
+    bedrock_tokeniser,
+    ensure_bedrock_client_token_metrics,
+    merge_documents,
+    sort_documents,
+)
 
 log = logging.getLogger(__name__)
 
@@ -680,11 +686,12 @@ def _search_wikipedia(query: str) -> tuple[str, list[Document]]:
 
 @waffle_flag("DATA_HUB_API_ROUTE_ON")
 def parse_filters_bedrock(prompt: str):
+    ensure_bedrock_client_token_metrics()
     client = boto3.client("bedrock-runtime", region_name="eu-west-2")
 
     settings = get_settings()
 
-    model_id = settings.default_model_id if settings.default_model_id else "anthropic.claude-3-sonnet-20240229-v1:0"
+    model_id = settings.default_model_id if settings.default_model_id else "claude-sonnet-4-6"
 
     response = client.invoke_model(
         modelId=model_id,
@@ -719,9 +726,25 @@ def parse_filters_bedrock(prompt: str):
 
     body = json.loads(response["body"].read())
     try:
-        response_json = json.loads(body["content"][0]["text"].strip())
+        response_text = body["content"][0]["text"].strip()
+        response_json = json.loads(response_text)
+        usage = body.get("usage", {})
+        input_tokens = usage.get("input_tokens", bedrock_tokeniser(prompt))
+        output_tokens = usage.get("output_tokens", bedrock_tokeniser(response_text))
+        annotate_span_with_token_metrics(
+            model=model_id,
+            input_tokens=input_tokens,
+            output_tokens=output_tokens,
+            provider="bedrock",
+        )
         return response_json.get("dataset", "companies-dataset"), response_json.get("filters", {})
     except Exception:
+        annotate_span_with_token_metrics(
+            model=model_id,
+            input_tokens=bedrock_tokeniser(prompt),
+            output_tokens=bedrock_tokeniser(json.dumps(body)),
+            provider="bedrock",
+        )
         return "companies-dataset", {}
 
 
diff --git a/redbox/redbox/transform.py b/redbox/redbox/transform.py
index 9b4f344cd..a411d6e01 100644
--- a/redbox/redbox/transform.py
+++ b/redbox/redbox/transform.py
@@ -1,10 +1,15 @@
 import itertools
+import json
 import logging
-import re
 import math
+import os
+import re
+from functools import wraps
 from typing import Dict, Iterable
 from uuid import NAMESPACE_DNS, UUID, uuid5
 
+import boto3
+from ddtrace import tracer
 from langchain_core.callbacks.manager import dispatch_custom_event
 from langchain_core.documents import Document
 from langchain_core.messages import AIMessage, AnyMessage
@@ -15,6 +20,332 @@
 
 log = logging.getLogger(__name__)
 
+_BEDROCK_CONTEXT_KEY = "_redbox_bedrock_api_params"
+_BEDROCK_OPERATION_KEY = "_redbox_bedrock_operation"
+_BEDROCK_CLIENT_PATCHED = False
+_BEDROCK_DIAGNOSTICS_ENV = "REDBOX_BEDROCK_DIAGNOSTICS"
+
+
+def _serialize_text(text: bytes | bytearray | str | None) -> str:
+    if text is None:
+        return ""
+    if isinstance(text, (bytes, bytearray)):
+        try:
+            return text.decode("utf-8")
+        except Exception:
+            return text.decode("utf-8", errors="ignore")
+    return str(text)
+
+
+def _diagnostics_enabled() -> bool:
+    return os.getenv(_BEDROCK_DIAGNOSTICS_ENV, "false").lower() in {"1", "true", "yes", "on"}
+
+
+def _is_sensitive_key(key: str) -> bool:
+    key = (key or "").lower()
+    sensitive_terms = [
+        "authorization",
+        "token",
+        "credential",
+        "signature",
+        "secret",
+        "cookie",
+        "x-api-key",
+        "api_key",
+        "passwd",
+        "password",
+    ]
+    return any(term in key for term in sensitive_terms)
+
+
+def _log_bedrock_diagnostics(*, api_params: dict, span):
+    if not _diagnostics_enabled():
+        return
+    try:
+        model_id = _bedrock_model_from_params(api_params)
+        operation = api_params.get("_redbox_operation", "unknown") if isinstance(api_params, dict) else "unknown"
+        span_name = getattr(span, "name", "unknown") if span else "unknown"
+        span_id = getattr(span, "span_id", "unknown") if span else "unknown"
+        trace_id = getattr(span, "trace_id", "unknown") if span else "unknown"
+        log.warning(
+            "BEDROCK_DIAGNOSTICS operation=%s modelId=%s span_name=%s span_id=%s trace_id=%s",
+            operation,
+            model_id,
+            span_name,
+            span_id,
+            trace_id,
+        )
+    except Exception as e:
+        log.warning("BEDROCK_DIAGNOSTICS_ERROR %s", str(e))
+
+
+def _bedrock_request_text(body: str) -> str:
+    if not body:
+        return ""
+
+    try:
+        payload = json.loads(body)
+    except Exception:
+        return body
+
+    if isinstance(payload, dict):
+        if "messages" in payload and isinstance(payload["messages"], list):
+            return " ".join(
+                str(message.get("content", "")) for message in payload["messages"] if isinstance(message, dict)
+            )
+        if "input" in payload:
+            return str(payload["input"])
+        if "content" in payload:
+            return str(payload["content"])
+    return body
+
+
+def _bedrock_response_text(parsed: dict | None, http_response: object | None) -> str:
+    if isinstance(parsed, dict):
+        content = parsed.get("content")
+        if isinstance(content, list) and content:
+            first = content[0]
+            if isinstance(first, dict):
+                return str(first.get("text", ""))
+            if isinstance(first, str):
+                return first
+        if isinstance(content, str):
+            return content
+
+    if http_response is not None:
+        content_attr = getattr(http_response, "content", None)
+        if isinstance(content_attr, (bytes, bytearray)):
+            return _serialize_text(content_attr)
+
+    return ""
+
+
+def annotate_span_with_token_metrics(model: str, input_tokens: int, output_tokens: int, provider: str = "bedrock"):
+    span = tracer.current_span()
+    if span is None:
+        return
+
+    total_tokens = input_tokens + output_tokens
+
+    span.set_tag("input_tokens", input_tokens)
+    span.set_tag("output_tokens", output_tokens)
+    span.set_tag("total_tokens", total_tokens)
+    span.set_tag("model", model)
+    span.set_tag("llm.model", model)
+    span.set_tag("provider", provider)
+    span.set_tag("llm.provider", provider)
+
+    span.set_metric("input_tokens", input_tokens)
+    span.set_metric("output_tokens", output_tokens)
+    span.set_metric("total_tokens", total_tokens)
+
+    span.set_metric("gen_ai.usage.input_tokens", input_tokens)
+    span.set_metric("gen_ai.usage.output_tokens", output_tokens)
+    span.set_metric("gen_ai.usage.total_tokens", total_tokens)
+
+
+def _extract_text_from_content_blocks(content: list | str | None) -> str:
+    if isinstance(content, str):
+        return content
+    if not isinstance(content, list):
+        return ""
+
+    parts = []
+    for item in content:
+        if isinstance(item, str):
+            parts.append(item)
+        elif isinstance(item, dict):
+            text = item.get("text")
+            if text:
+                parts.append(str(text))
+    return " ".join(parts)
+
+
+def _bedrock_request_text_from_params(api_params: dict | None) -> str:
+    if not isinstance(api_params, dict):
+        return ""
+
+    if body := api_params.get("body"):
+        return _bedrock_request_text(_serialize_text(body))
+
+    if messages := api_params.get("messages"):
+        return " ".join(
+            _extract_text_from_content_blocks(message.get("content"))
+            for message in messages
+            if isinstance(message, dict)
+        )
+
+    if system := api_params.get("system"):
+        return _extract_text_from_content_blocks(system)
+
+    if input_text := api_params.get("inputText"):
+        return str(input_text)
+
+    if input_body := api_params.get("input"):
+        return str(input_body)
+
+    try:
+        return json.dumps(api_params)
+    except TypeError:
+        return str(api_params)
+
+
+def _bedrock_response_text_from_parsed(parsed: dict | None) -> str:
+    if not isinstance(parsed, dict):
+        return ""
+
+    if output := parsed.get("output"):
+        if isinstance(output, dict):
+            if message := output.get("message"):
+                if isinstance(message, dict):
+                    return _extract_text_from_content_blocks(message.get("content"))
+            if text := output.get("text"):
+                return str(text)
+
+    return _bedrock_response_text(parsed=parsed, http_response=None)
+
+
+def _usage_value(usage: dict | None, *keys: str) -> int | None:
+    if not isinstance(usage, dict):
+        return None
+
+    for key in keys:
+        value = usage.get(key)
+        if isinstance(value, (int, float)):
+            return int(value)
+    return None
+
+
+def _bedrock_model_from_params(api_params: dict | None) -> str:
+    if not isinstance(api_params, dict):
+        return "unknown"
+
+    direct_model = api_params.get("modelId") or api_params.get("model_id") or api_params.get("modelIdentifier")
+    if direct_model:
+        return str(direct_model)
+
+    for path_key in ("url_path", "path", "url"):
+        path_value = api_params.get(path_key)
+        if not isinstance(path_value, str):
+            continue
+        match = re.search(r"/model/([^/]+)/", path_value)
+        if match:
+            return match.group(1)
+
+    body = api_params.get("body")
+    body_text = _serialize_text(body)
+    if body_text:
+        try:
+            payload = json.loads(body_text)
+        except Exception:
+            payload = None
+
+        if isinstance(payload, dict):
+            body_model = payload.get("modelId") or payload.get("model") or payload.get("model_id")
+            if body_model:
+                return str(body_model)
+
+    return "unknown"
+
+
+def _capture_bedrock_request_for_metrics(model=None, params=None, context=None, **kwargs):
+    operation_name = getattr(model, "name", None) or getattr(model, "operation_name", None) or "unknown"
+    api_params = params if isinstance(params, dict) else {}
+
+    if isinstance(api_params, dict):
+        api_params["_redbox_operation"] = operation_name
+
+    if isinstance(context, dict):
+        context[_BEDROCK_CONTEXT_KEY] = api_params
+        context[_BEDROCK_OPERATION_KEY] = operation_name
+
+    if _diagnostics_enabled():
+        try:
+            model_id = _bedrock_model_from_params(api_params)
+            param_keys = ",".join(sorted(api_params.keys())) if isinstance(api_params, dict) else ""
+            log.warning(
+                "BEDROCK_DIAGNOSTICS_REQUEST operation=%s modelId=%s param_keys=%s",
+                operation_name,
+                model_id,
+                param_keys,
+            )
+        except Exception as e:
+            log.warning("BEDROCK_DIAGNOSTICS_REQUEST_ERROR %s", str(e))
+
+
+def _annotate_bedrock_response_metrics(model=None, http_response=None, parsed=None, context=None, **kwargs):
+    api_params = context.get(_BEDROCK_CONTEXT_KEY, {}) if isinstance(context, dict) else {}
+    usage = parsed.get("usage", {}) if isinstance(parsed, dict) else {}
+
+    input_tokens = _usage_value(usage, "input_tokens", "inputTokens")
+    output_tokens = _usage_value(usage, "output_tokens", "outputTokens")
+
+    if input_tokens is None:
+        request_text = _bedrock_request_text_from_params(api_params)
+        if request_text:
+            input_tokens = bedrock_tokeniser(request_text)
+
+    if output_tokens is None:
+        response_text = _bedrock_response_text_from_parsed(parsed)
+        if response_text:
+            output_tokens = bedrock_tokeniser(response_text)
+
+    if input_tokens is None or output_tokens is None:
+        span = tracer.current_span()
+        _log_bedrock_diagnostics(api_params=api_params, span=span)
+        return
+
+    annotate_span_with_token_metrics(
+        model=_bedrock_model_from_params(api_params),
+        input_tokens=input_tokens,
+        output_tokens=output_tokens,
+        provider="bedrock",
+    )
+
+    span = tracer.current_span()
+    _log_bedrock_diagnostics(api_params=api_params, span=span)
+
+
+def _register_bedrock_client_token_handlers(client):
+    meta = getattr(client, "meta", None)
+    if meta is None or getattr(meta, "service_model", None) is None:
+        return client
+
+    if meta.service_model.service_name != "bedrock-runtime":
+        return client
+
+    if getattr(meta, "_redbox_token_metrics_registered", False):
+        return client
+
+    meta.events.register("before-call.bedrock-runtime", _capture_bedrock_request_for_metrics)
+    meta.events.register("after-call.bedrock-runtime", _annotate_bedrock_response_metrics)
+    meta._redbox_token_metrics_registered = True
+    return client
+
+
+def ensure_bedrock_client_token_metrics():
+    global _BEDROCK_CLIENT_PATCHED
+
+    if _BEDROCK_CLIENT_PATCHED:
+        return
+
+    original_boto3_client = boto3.client
+    original_session_client = boto3.session.Session.client
+
+    @wraps(original_boto3_client)
+    def _patched_boto3_client(*args, **kwargs):
+        client = original_boto3_client(*args, **kwargs)
+        return _register_bedrock_client_token_handlers(client)
+
+    @wraps(original_session_client)
+    def _patched_session_client(self, *args, **kwargs):
+        client = original_session_client(self, *args, **kwargs)
+        return _register_bedrock_client_token_handlers(client)
+
+    boto3.client = _patched_boto3_client
+    boto3.session.Session.client = _patched_session_client
+    _BEDROCK_CLIENT_PATCHED = True
+
 
 def bedrock_tokeniser_tokens(text: str) -> list[str]:
     # Simple tokeniser that counts the number of words in the text
@@ -250,6 +581,13 @@ def to_request_metadata(obj: dict) -> RequestMetadata:
     except Exception:
         output_tokens = len(response[0].get("text", []))
 
+    annotate_span_with_token_metrics(
+        model=model,
+        input_tokens=input_tokens,
+        output_tokens=output_tokens,
+        provider="bedrock",
+    )
+
     metadata_event = RequestMetadata(
         llm_calls=[
             LLMCallMetadata(
diff --git a/redbox/tests/test_transform.py b/redbox/tests/test_transform.py
index dbeb512b2..5ca4fb1b6 100644
--- a/redbox/tests/test_transform.py
+++ b/redbox/tests/test_transform.py
@@ -1,6 +1,7 @@
 import copy
 import itertools
 from datetime import UTC, datetime
+from unittest.mock import MagicMock, patch
 from uuid import NAMESPACE_DNS, UUID, uuid5
 
 import pytest
@@ -8,6 +9,7 @@
 from langchain_core.messages import AIMessage
 from langchain_core.runnables import RunnableLambda
 
+import redbox.transform as transform
 from redbox.models.chain import DocumentState, LLMCallMetadata, RequestMetadata
 from redbox.retriever.retrievers import filter_by_elbow
 from redbox.test.data import generate_docs
@@ -219,6 +221,54 @@ def test_to_request_metadata(output: dict, expected: RequestMetadata):
     )
 
 
+def test_to_request_metadata_tags_current_span():
+    span = MagicMock()
+    output = {
+        "prompt": "Lorem ipsum dolor sit amet.",
+        "model": "anthropic.claude-3-7-sonnet-20250219-v1:0",
+        "text_and_tools": {
+            "raw_response": AIMessage(content="Lorem ipsum dolor sit amet, consectetur adipiscing elit.")
+        },
+    }
+
+    with patch("redbox.transform.tracer.current_span", return_value=span):
+        RunnableLambda(to_request_metadata).invoke(output)
+
+    span.set_tag.assert_any_call("input_tokens", 6)
+    span.set_tag.assert_any_call("output_tokens", 10)
+    span.set_tag.assert_any_call("total_tokens", 16)
+    span.set_tag.assert_any_call("model", "anthropic.claude-3-7-sonnet-20250219-v1:0")
+    span.set_tag.assert_any_call("provider", "bedrock")
+    span.set_metric.assert_any_call("input_tokens", 6)
+    span.set_metric.assert_any_call("output_tokens", 10)
+    span.set_metric.assert_any_call("total_tokens", 16)
+
+
+def test_bedrock_after_call_annotations_target_current_span():
+    span = MagicMock()
+    context = {transform._BEDROCK_CONTEXT_KEY: {"modelId": "anthropic.claude-3-7-sonnet-20250219-v1:0"}}
+    parsed = {"usage": {"inputTokens": 8, "outputTokens": 13}}
+
+    with patch("redbox.transform.tracer.current_span", return_value=span):
+        transform._annotate_bedrock_response_metrics(parsed=parsed, context=context)
+
+    span.set_metric.assert_any_call("input_tokens", 8)
+    span.set_metric.assert_any_call("output_tokens", 13)
+    span.set_metric.assert_any_call("total_tokens", 21)
+
+
+def test_register_bedrock_client_token_handlers_registers_once():
+    client = MagicMock()
+    client.meta.service_model.service_name = "bedrock-runtime"
+    client.meta.events = MagicMock()
+
+    transform._register_bedrock_client_token_handlers(client)
+    transform._register_bedrock_client_token_handlers(client)
+
+    registered_events = [call.args[0] for call in client.meta.events.register.call_args_list]
+    assert registered_events == ["before-call.bedrock-runtime", "after-call.bedrock-runtime"]
+
+
 def test_structure_documents_by_file_name():
     docs = list(generate_docs(s3_key="s3_key", total_tokens=1000, number_of_docs=3, chunk_resolution="normal"))
     expected = DocumentState(groups={uuid5(NAMESPACE_DNS, "s3_key"): {doc.metadata["uuid"]: doc for doc in docs}})