Combining Structured Outputs and Tool Binding

[maxxxara]

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Example Code

llm = ChatOpenAI(
  model="gpt-4o",
  verbose=True
)
llm_tools = llm.bind_tools(tools)
llm_tools.with_structured_output # this does not exist

Description

I've been working on a project where I need to combine structured outputs with tool bindings, but I'm struggling to get them to work together effectively. I’ve gone through the documentation and examples, but I still can’t figure out how to implement this seamlessly.

System Info

aiohappyeyeballs==2.4.3
aiohttp==3.11.8
aiosignal==1.3.1
alembic==1.14.0
annotated-types==0.7.0
anyio==4.6.2.post1
asgiref==3.8.1
attrs==24.2.0
backoff==2.2.1
bcrypt==4.2.1
beautifulsoup4==4.12.3
build==1.2.2.post1
cachetools==5.5.0
certifi==2024.8.30
charset-normalizer==3.4.0
chroma-hnswlib==0.7.6
chromadb==0.5.20
click==8.1.7
cohere==5.12.0
colorama==0.4.6
coloredlogs==15.0.1
dataclasses-json==0.6.7
Deprecated==1.2.15
distro==1.9.0
dnspython==2.7.0
docstring_parser==0.16
durationpy==0.9
email_validator==2.2.0
embedchain==0.1.125
fastapi==0.115.6
fastapi-cli==0.0.5
fastavro==1.9.7
filelock==3.16.1
flatbuffers==24.3.25
frozenlist==1.5.0
fsspec==2024.10.0
google-api-core==2.23.0
google-auth==2.36.0
google-cloud-aiplatform==1.73.0
google-cloud-bigquery==3.27.0
google-cloud-core==2.4.1
google-cloud-resource-manager==1.13.1
google-cloud-storage==2.18.2
google-crc32c==1.6.0
google-resumable-media==2.7.2
googleapis-common-protos==1.66.0
gptcache==0.1.44
greenlet==3.1.1
grpc-google-iam-v1==0.13.1
grpcio==1.68.0
grpcio-status==1.68.0
grpcio-tools==1.68.0
h11==0.14.0
h2==4.1.0
hpack==4.0.0
httpcore==1.0.7
httptools==0.6.4
httpx==0.28.0
httpx-sse==0.4.0
huggingface-hub==0.26.3
humanfriendly==10.0
hyperframe==6.0.1
idna==3.10
importlib_metadata==8.5.0
importlib_resources==6.4.5
Jinja2==3.1.4
jiter==0.8.0
jsonpatch==1.33
jsonpointer==3.0.0
kubernetes==31.0.0
langchain==0.3.13
langchain-cohere==0.3.3
langchain-community==0.3.13
langchain-core==0.3.28
langchain-experimental==0.3.3
langchain-openai==0.2.14
langchain-text-splitters==0.3.4
langsmith==0.1.147
Mako==1.3.6
markdown-it-py==3.0.0
MarkupSafe==3.0.2
marshmallow==3.23.1
mdurl==0.1.2
mem0ai==0.1.36
mmh3==5.0.1
monotonic==1.6
mpmath==1.3.0
multidict==6.1.0
mypy-extensions==1.0.0
numpy==1.26.4
oauthlib==3.2.2
onnxruntime==1.20.1
openai==1.58.1
opentelemetry-api==1.28.2
opentelemetry-exporter-otlp-proto-common==1.28.2
opentelemetry-exporter-otlp-proto-grpc==1.28.2
opentelemetry-instrumentation==0.49b2
opentelemetry-instrumentation-asgi==0.49b2
opentelemetry-instrumentation-fastapi==0.49b2
opentelemetry-proto==1.28.2
opentelemetry-sdk==1.28.2
opentelemetry-semantic-conventions==0.49b2
opentelemetry-util-http==0.49b2
orjson==3.10.12
overrides==7.7.0
packaging==24.2
pandas==2.2.3
parameterized==0.9.0
portalocker==2.10.1
posthog==3.7.4
propcache==0.2.0
proto-plus==1.25.0
protobuf==5.29.0
pyasn1==0.6.1
pyasn1_modules==0.4.1
pydantic==2.10.4
pydantic-settings==2.6.1
pydantic_core==2.27.2
Pygments==2.18.0
pypdf==5.1.0
PyPika==0.48.9
pyproject_hooks==1.2.0
pyreadline3==3.5.4
pysbd==0.3.4
python-dateutil==2.9.0.post0
python-dotenv==1.0.1
python-multipart==0.0.20
pytz==2024.2
pywin32==308
PyYAML==6.0.2
qdrant-client==1.12.1
redis==5.2.1
regex==2024.11.6
requests==2.32.3
requests-oauthlib==2.0.0
requests-toolbelt==1.0.0
rich==13.9.4
rsa==4.9
schema==0.7.7
setuptools==75.6.0
shapely==2.0.6
shellingham==1.5.4
six==1.16.0
sniffio==1.3.1
soupsieve==2.6
SQLAlchemy==2.0.35
starlette==0.41.3
sympy==1.13.3
tabulate==0.9.0
tenacity==9.0.0
tiktoken==0.7.0
tokenizers==0.21.0
tqdm==4.67.1
typer==0.13.1
types-requests==2.32.0.20241016
typing-inspect==0.9.0
typing_extensions==4.12.2
tzdata==2024.2
urllib3==2.2.3
uvicorn==0.34.0
watchfiles==1.0.0
websocket-client==1.8.0
websockets==14.1
wrapt==1.17.0
yarl==1.18.0
zipp==3.21.0

[feijoes]

[maxxxara]

I already said it does not works :)
I can't use this two function together

[adocherty]

Hi,

I don't think you use them together, you pick bind_tools to register a tool with the tool-calling interface, or with_structured_output with a Pydantic object specifying the structure to have the output returned as a structured object. They are different and incompatible. See the documentation.

Bind tools:
https://python.langchain.com/docs/how_to/tool_calling/

Strutured outputs:
https://python.langchain.com/docs/how_to/structured_output/

[dev-arctik]

I was also searching for a solution for this

This is the only helpful blog I found

https://langchain-ai.github.io/langgraph/how-tos/react-agent-structured-output/