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18 Commits

Author SHA1 Message Date
Bagatur
6abb23ca97 exa[minor]: Release 0.2.0 (#26476) 2024-09-13 23:04:10 +00:00
ccurme
900115a568 community: release 0.3 (#26472) 2024-09-13 22:55:56 +00:00
Bagatur
17b397ef93 pinecone[minor]: Release 0.2.0 (#26474) 2024-09-13 22:55:35 +00:00
Erick Friis
ca304ae046 robocorp: rm package (now langchain-sema4) (#26471) 2024-09-13 15:54:00 -07:00
Erick Friis
537f6924dc partners/ollama: release 0.2.0 (#26468) 2024-09-13 15:48:48 -07:00
Erick Friis
995dfc6b05 partners/fireworks: release 0.2.0 (#26467) 2024-09-13 22:48:16 +00:00
Erick Friis
832bc834b1 partners/anthropic: release 0.2.0 (#26469)
0.3.0 version was a mistake! not released - bumping version back to
0.2.0 here
2024-09-13 22:47:09 +00:00
Erick Friis
6997731729 partners/anthropic: release 0.3.0 (#26466) 2024-09-13 22:44:11 +00:00
Bagatur
64bfe1ff23 groq[minor]: Release 0.2.0 (#26465) 2024-09-13 22:43:11 +00:00
Erick Friis
58c7414e10 langchain: release 0.3.0 (#26462) 2024-09-13 22:40:37 +00:00
ccurme
125c9896a8 huggingface: release 0.1 (#26463) 2024-09-13 22:39:49 +00:00
Bagatur
f7ae12fa1f openai[minor]: Release 0.2.0 (#26464) 2024-09-13 15:38:10 -07:00
ccurme
d1462badaf text-splitters: release 0.3 (#26460)
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-13 22:31:06 +00:00
ccurme
9b30bdceb6 mistralai: release 0.2 (#26458)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-09-13 18:27:51 -04:00
Bagatur
3125a89198 infra: fix min version (#26461) 2024-09-13 22:25:22 +00:00
Bagatur
44791ce131 infra: rm pydantic from min version test (#26459) 2024-09-13 15:22:28 -07:00
Bagatur
fa8e0d90de docs: update version docs (#26457) 2024-09-13 22:20:24 +00:00
Bagatur
222caaebdd infra: fix release (#26455) 2024-09-13 15:01:36 -07:00
60 changed files with 1248 additions and 5529 deletions

View File

@@ -19,7 +19,6 @@ MIN_VERSION_LIBS = [
"langchain",
"langchain-text-splitters",
"SQLAlchemy",
"pydantic",
]
SKIP_IF_PULL_REQUEST = ["langchain-core"]
@@ -68,7 +67,7 @@ def get_min_version_from_toml(
min_versions = {}
# Iterate over the libs in MIN_VERSION_LIBS
for lib in MIN_VERSION_LIBS:
for lib in set(MIN_VERSION_LIBS + (include or [])):
if versions_for == "pull_request" and lib in SKIP_IF_PULL_REQUEST:
# some libs only get checked on release because of simultaneous
# changes

View File

@@ -232,7 +232,8 @@ jobs:
id: min-version
run: |
poetry run pip install packaging
min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml release ${{ steps.setup-python.outputs.installed-python-version }})"
python_version="$(poetry run python --version | awk '{print $2}')"
min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml release $python_version)"
echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
echo "min-versions=$min_versions"

View File

@@ -48,7 +48,6 @@ jobs:
shell: bash
run: |
poetry run pip install packaging tomli
echo "Python version ${{ steps.setup-python.outputs.installed-python-version }}"
python_version="$(poetry run python --version | awk '{print $2}')"
min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml pull_request $python_version)"
echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"

View File

@@ -85,8 +85,8 @@ Build stateful, multi-actor applications with LLMs. Integrates smoothly with Lan
## Additional resources
### [Versions](/docs/versions/overview/)
See what changed in v0.2, learn how to migrate legacy code, and read up on our release/versioning policies, and more.
### [Versions](/docs/versions/v0_3/)
See what changed in v0.3, learn how to migrate legacy code, read up on our versioning policies, and more.
### [Security](/docs/security)
Read up on [security](/docs/security) best practices to make sure you're developing safely with LangChain.

View File

@@ -8,7 +8,7 @@ keywords: [retrievalqa, llmchain, conversationalretrievalchain]
This code contains a list of deprecations and removals in the `langchain` and `langchain-core` packages.
New features and improvements are not listed here. See the [overview](/docs/versions/overview/) for a summary of what's new in this release.
New features and improvements are not listed here. See the [overview](/docs/versions/v0_2/overview/) for a summary of what's new in this release.
## Breaking changes

View File

@@ -2,7 +2,7 @@
sidebar_position: 1
---
# Migrating to LangChain v0.2
# Migration

View File

@@ -3,7 +3,7 @@ sidebar_position: 2
sidebar_label: astream_events v2
---
# Migrating to Astream Events v2
# Migrating to astream_events(..., version="v2")
We've added a `v2` of the astream_events API with the release of `0.2.x`. You can see this [PR](https://github.com/langchain-ai/langchain/pull/21638) for more details.

View File

@@ -1,9 +1,8 @@
---
sidebar_position: 0
sidebar_label: Overview of v0.2
---
# Overview of LangChain v0.2
# Overview
## Whats new in LangChain?

View File

@@ -0,0 +1,197 @@
# LangChain v0.3
*Last updated: 09.13.24*
## What's changed
* All packages have been upgraded from Pydantic 1 to Pydantic 2 internally. Use of Pydantic 2 in user code is fully supported with all packages without the need for bridges like `langchain_core.pydantic_v1` or `pydantic.v1`.
* Pydantic 1 will no longer be supported as it reached its end-of-life in June 2024.
* Python 3.8 will no longer be supported as its end-of-life is October 2024.
**These are the only breaking changes.**
## Whats new
The following features have been added during the development of 0.2.x:
- Moved more integrations from `langchain-community` to their own `langchain-x` packages. This is a non-breaking change, as the legacy implementations are left in `langchain-community` and marked as deprecated. This allows us to better manage the dependencies of, test, and version these integrations. You can see all the latest integration packages in the [API reference](https://python.langchain.com/v0.2/api_reference/reference.html#integrations).
- Simplified tool definition and usage. Read more [here](https://blog.langchain.dev/improving-core-tool-interfaces-and-docs-in-langchain/).
- Added utilities for interacting with chat models: [universal model constructor](https://python.langchain.com/v0.2/docs/how_to/chat_models_universal_init/), [rate limiter](https://python.langchain.com/v0.2/docs/how_to/chat_model_rate_limiting/), [message utilities](https://python.langchain.com/v0.2/docs/how_to/#messages),
- Added the ability to [dispatch custom events](https://python.langchain.com/v0.2/docs/how_to/callbacks_custom_events/).
- Revamped integration docs and API reference. Read more [here](https://blog.langchain.dev/langchain-integration-docs-revamped/).
- Marked as deprecated a number of legacy chains and added migration guides for all of them. These are slated for removal in `langchain` 1.0.0. See the deprecated chains and associated [migration guides here](https://python.langchain.com/v0.2/docs/versions/migrating_chains/).
## How to update your code
If you're using `langchain` / `langchain-community` / `langchain-core` 0.0 or 0.1, we recommend that you first [upgrade to 0.2](https://python.langchain.com/v0.2/docs/versions/v0_2/). The `langchain-cli` will help you to migrate many imports automatically.
If you're using `langgraph`, upgrade to `langgraph>=0.2.20,<0.3`. This will work with either 0.2 or 0.3 versions of all the base packages.
Here is a complete list of all packages that have been released and what we recommend upgrading your version constraints to:
### Base packages
| Package | Latest | Recommended constraint |
| -------------------------------------- | ------- | -------------------------- |
| langchain | 0.3.0 | >=0.3,<0.4 |
| langchain-community | 0.3.0 | >=0.3,<0.4 |
| langchain-text-splitters | 0.3.0 | >=0.3,<0.4 |
| langchain-core | 0.3.0 | >=0.3,<0.4 |
| langchain-experimental | 0.3.0 | >=0.3,<0.4 |
### Integration packages
| Package | Latest | Recommended constraint |
| -------------------------------------- | ------- | -------------------------- |
| langchain-ai21 | 0.2.0 | >=0.2,<0.3 |
| langchain-aws | 0.2.0 | >=0.2,<0.3 |
| langchain-anthropic | 0.2.0 | >=0.2,<0.3 |
| langchain-astradb | 0.4.1 | >=0.4.1,<0.5 |
| langchain-azure-dynamic-sessions | 0.1.1 | >=0.1.1,<0.2 |
| langchain-box | 0.2.0 | >=0.2,<0.3 |
| langchain-chroma | 0.1.4 | >=0.1.4,<0.2 |
| langchain-cohere | 0.2.0 | >=0.2,<0.3 |
| langchain-elasticsearch | 0.2.3 | >=0.2.3,<0.3 |
| langchain-exa | 0.2.0 | >=0.2,<0.3 |
| langchain-fireworks | 0.2.0 | >=0.2,<0.3 |
| langchain-groq | 0.2.0 | >=0.2,<0.3 |
| langchain-google-community | 2.0.0 | >=2,<3 |
| langchain-google-genai | 2.0.0 | >=2,<3 |
| langchain-google-vertexai | 2.0.0 | >=2,<3 |
| langchain-huggingface | 0.1.0 | >=0.1,<0.2 |
| langchain-milvus | 0.1.6 | >=0.1.6,<0.2 |
| langchain-mistralai | 0.2.0 | >=0.2,<0.3 |
| langchain-mongodb | 0.1.10 | >=0.1.10,<0.2 |
| langchain-nomic | 0.1.3 | >=0.1.3,<0.2 |
| langchain-ollama | 0.2.0 | >=0.2,<0.3 |
| langchain-openai | 0.2.0 | >=0.2,<0.3 |
| langchain-pinecone | 0.2.0 | >=0.2,<0.3 |
| langchain-postgres | 0.0.13 | >=0.0.13,<0.1 |
| langchain-prompty | 0.1.0 | >=0.1,<0.2 |
| langchain-qdrant | 0.2.0 | >=0.2,<0.3 |
| langchain-together | 0.2.0 | >=0.2,<0.3 |
| langchain-unstructured | 0.1.4 | >=0.1.4,<0.2 |
| langchain-voyageai | 0.2.0 | >=0.2,<0.3 |
| langchain-weaviate | 0.1.0 | >=0.1,<0.2 |
Once you've updated to recent versions of the packages, you may need to address the following issues stemming from the internal switch from Pydantic v1 to Pydantic v2:
- If your code depends on Pydantic aside from LangChain, you will need to upgrade your pydantic version constraints to be `pydantic>=2,<3`. See [Pydantics migration guide](https://docs.pydantic.dev/latest/migration/) for help migrating your non-LangChain code to Pydantic v2 if you use pydantic v1.
- There are a number of side effects to LangChain components caused by the internal switch from Pydantic v1 to v2. We have listed some of the common cases below together with the recommended solutions.
## Common issues when transitioning to Pydantic 2
### 1. Do not use the `langchain_core.pydantic_v1` namespace
Replace any usage of `langchain_core.pydantic_v1` or `langchain.pydantic_v1` with
direct imports from `pydantic`.
For example,
```python
from langchain_core.pydantic_v1 import BaseModel
```
to:
```python
from pydantic import BaseModel
```
This may require you to make additional updates to your Pydantic code given that there are a number of breaking changes in Pydantic 2. See the [Pydantic Migration](https://docs.pydantic.dev/latest/migration/) for how to upgrade your code from Pydantic 1 to 2.
### 2. Passing Pydantic objects to LangChain APIs
Users using the following APIs:
* `BaseChatModel.bind_tools`
* `BaseChatModel.with_structured_output`
* `Tool.from_function`
* `StructuredTool.from_function`
should ensure that they are passing Pydantic 2 objects to these APIs rather than
Pydantic 1 objects (created via the `pydantic.v1` namespace of pydantic 2).
:::caution
While `v1` objets may be accepted by some of these APIs, users are advised to
use Pydantic 2 objects to avoid future issues.
:::
### 3. Sub-classing LangChain models
Any sub-classing from existing LangChain models (e.g., `BaseTool`, `BaseChatModel`, `LLM`)
should upgrade to use Pydantic 2 features.
For example, any user code that's relying on Pydantic 1 features (e.g., `validator`) should
be updated to the Pydantic 2 equivalent (e.g., `field_validator`), and any references to
`pydantic.v1`, `langchain_core.pydantic_v1`, `langchain.pydantic_v1` should be replaced
with imports from `pydantic`.
```python
from pydantic.v1 import validator, Field # if pydantic 2 is installed
# from pydantic import validator, Field # if pydantic 1 is installed
# from langchain_core.pydantic_v1 import validator, Field
# from langchain.pydantic_v1 import validator, Field
class CustomTool(BaseTool): # BaseTool is v1 code
x: int = Field(default=1)
def _run(*args, **kwargs):
return "hello"
@validator('x') # v1 code
@classmethod
def validate_x(cls, x: int) -> int:
return 1
```
Should change to:
```python
from pydantic import Field, field_validator # pydantic v2
from langchain_core.pydantic_v1 import BaseTool
class CustomTool(BaseTool): # BaseTool is v1 code
x: int = Field(default=1)
def _run(*args, **kwargs):
return "hello"
@field_validator('x') # v2 code
@classmethod
def validate_x(cls, x: int) -> int:
return 1
CustomTool(
name='custom_tool',
description="hello",
x=1,
)
```
### 4. model_rebuild()
When sub-classing from LangChain models, users may need to add relevant imports
to the file and rebuild the model.
```python
from langchain_core.output_parsers import BaseOutputParser
class FooParser(BaseOutputParser):
...
```
New code:
```python
from typing import Optional as Optional
from langchain_core.output_parsers import BaseOutputParser
class FooParser(BaseOutputParser):
...
FooParser.model_rebuild()
```

View File

@@ -72,25 +72,24 @@ module.exports = {
collapsed: false,
collapsible: false,
items: [
"versions/v0_3/overview",
"versions/overview",
{
type: 'doc',
id: 'versions/v0_3/index',
label: "v0.3",
},
{
type: "category",
label: "v0.2",
items: [{
type: 'autogenerated',
dirName: 'versions/v0_2',
}],
},
{
type: 'doc',
id: "how_to/pydantic_compatibility",
label: "Pydantic compatibility",
},
{
type: "category",
label: "Migrating to v0.2",
link: {type: 'doc', id: 'versions/v0_2/index'},
collapsible: false,
collapsed: false,
items: [{
type: 'autogenerated',
dirName: 'versions/v0_2',
className: 'hidden',
}],
},
{
type: "category",
label: "Migrating from v0.0 chains",

View File

@@ -26,6 +26,10 @@
}
],
"redirects": [
{
"source": "/docs/versions/overview(/?)",
"destination": "/docs/versions/v0_2/overview/"
},
{
"source": "/docs/how_to/tool_calls_multi_modal(/?)",
"destination": "/docs/how_to/multimodal_inputs/"

View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.8.3 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 = "aiohappyeyeballs"
@@ -1780,7 +1780,7 @@ files = [
[[package]]
name = "langchain"
version = "0.3.0.dev2"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -1790,8 +1790,8 @@ develop = true
[package.dependencies]
aiohttp = "^3.8.3"
async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
langchain-core = "^0.3.0.dev5"
langchain-text-splitters = "^0.3.0.dev1"
langchain-core = "^0.3.0"
langchain-text-splitters = "^0.3.0"
langsmith = "^0.1.17"
numpy = [
{version = ">=1,<2", markers = "python_version < \"3.12\""},
@@ -1809,7 +1809,7 @@ url = "../langchain"
[[package]]
name = "langchain-core"
version = "0.3.0.dev5"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -1853,7 +1853,7 @@ url = "../standard-tests"
[[package]]
name = "langchain-text-splitters"
version = "0.3.0.dev1"
version = "0.3.0"
description = "LangChain text splitting utilities"
optional = false
python-versions = ">=3.9,<4.0"
@@ -1861,7 +1861,7 @@ files = []
develop = true
[package.dependencies]
langchain-core = "^0.3.0.dev1"
langchain-core = "^0.3.0"
[package.source]
type = "directory"
@@ -4386,4 +4386,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "1a81994350c65c891f5f592a522975bc6688cfad016f2af5fe8ad93a76209066"
content-hash = "ee964a118892539749a10eeb2e7e8ce5570cf84faf02ea226fa2af865dc14135"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-community"
version = "0.3.0.dev2"
version = "0.3.0"
description = "Community contributed LangChain integrations."
authors = []
license = "MIT"
@@ -33,8 +33,8 @@ ignore-words-list = "momento,collison,ned,foor,reworkd,parth,whats,aapply,mysogy
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = { version = "^0.3.0.dev5", allow-prereleases = true }
langchain = { version = "^0.3.0.dev2", allow-prereleases = true }
langchain-core = "^0.3.0"
langchain = "^0.3.0"
SQLAlchemy = ">=1.4,<3"
requests = "^2"
PyYAML = ">=5.3"

View File

@@ -18,7 +18,7 @@ warn_deprecated(
"`from langchain_core.pydantic_v1 import BaseModel`\n"
"with: `from pydantic import BaseModel`\n"
"or the v1 compatibility namespace if you are working in a code base "
"th has not been fully upgraded to pydantic 2 yet. "
"that has not been fully upgraded to pydantic 2 yet. "
"\tfrom pydantic.v1 import BaseModel\n"
),
)

View File

@@ -1341,22 +1341,26 @@ files = [
[[package]]
name = "importlib-metadata"
version = "8.4.0"
version = "8.5.0"
description = "Read metadata from Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "importlib_metadata-8.4.0-py3-none-any.whl", hash = "sha256:66f342cc6ac9818fc6ff340576acd24d65ba0b3efabb2b4ac08b598965a4a2f1"},
{file = "importlib_metadata-8.4.0.tar.gz", hash = "sha256:9a547d3bc3608b025f93d403fdd1aae741c24fbb8314df4b155675742ce303c5"},
{file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
{file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
]
[package.dependencies]
zipp = ">=0.5"
zipp = ">=3.20"
[package.extras]
check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
cover = ["pytest-cov"]
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
enabler = ["pytest-enabler (>=2.2)"]
perf = ["ipython"]
test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
type = ["pytest-mypy"]
[[package]]
name = "iniconfig"
@@ -1925,7 +1929,7 @@ files = [
[[package]]
name = "langchain-core"
version = "0.3.0.dev5"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -1936,7 +1940,10 @@ develop = true
jsonpatch = "^1.33"
langsmith = "^0.1.117"
packaging = ">=23.2,<25"
pydantic = "^2.7.4"
pydantic = [
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = "^8.1.0,!=8.4.0"
typing-extensions = ">=4.7"
@@ -1984,7 +1991,7 @@ url = "../standard-tests"
[[package]]
name = "langchain-text-splitters"
version = "0.3.0.dev1"
version = "0.3.0"
description = "LangChain text splitting utilities"
optional = false
python-versions = ">=3.9,<4.0"
@@ -1992,7 +1999,7 @@ files = []
develop = true
[package.dependencies]
langchain-core = "^0.3.0.dev1"
langchain-core = "^0.3.0"
[package.source]
type = "directory"
@@ -2016,13 +2023,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langsmith"
version = "0.1.117"
version = "0.1.120"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.117-py3-none-any.whl", hash = "sha256:e936ee9bcf8293b0496df7ba462a3702179fbe51f9dc28744b0fbec0dbf206ae"},
{file = "langsmith-0.1.117.tar.gz", hash = "sha256:a1b532f49968b9339bcaff9118d141846d52ed3d803f342902e7448edf1d662b"},
{file = "langsmith-0.1.120-py3-none-any.whl", hash = "sha256:54d2785e301646c0988e0a69ebe4d976488c87b41928b358cb153b6ddd8db62b"},
{file = "langsmith-0.1.120.tar.gz", hash = "sha256:25499ca187b41bd89d784b272b97a8d76f60e0e21bdf20336e8a2aa6a9b23ac9"},
]
[package.dependencies]
@@ -2501,13 +2508,13 @@ files = [
[[package]]
name = "openai"
version = "1.44.1"
version = "1.45.0"
description = "The official Python library for the openai API"
optional = true
python-versions = ">=3.7.1"
files = [
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@@ -4239,6 +4261,20 @@ files = [
cryptography = ">=35.0.0"
types-pyOpenSSL = "*"
[[package]]
name = "types-requests"
version = "2.31.0.6"
description = "Typing stubs for requests"
optional = false
python-versions = ">=3.7"
files = [
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]
[package.dependencies]
types-urllib3 = "*"
[[package]]
name = "types-requests"
version = "2.32.0.20240907"
@@ -4275,6 +4311,17 @@ files = [
{file = "types_toml-0.10.8.20240310-py3-none-any.whl", hash = "sha256:627b47775d25fa29977d9c70dc0cbab3f314f32c8d8d0c012f2ef5de7aaec05d"},
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[[package]]
name = "types-urllib3"
version = "1.26.25.14"
description = "Typing stubs for urllib3"
optional = false
python-versions = "*"
files = [
{file = "types-urllib3-1.26.25.14.tar.gz", hash = "sha256:229b7f577c951b8c1b92c1bc2b2fdb0b49847bd2af6d1cc2a2e3dd340f3bda8f"},
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]
[[package]]
name = "typing-extensions"
version = "4.12.2"
@@ -4313,13 +4360,29 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
[[package]]
name = "urllib3"
version = "2.2.2"
version = "1.26.20"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
files = [
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brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
[[package]]
name = "urllib3"
version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
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@@ -4328,23 +4391,6 @@ h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "vcrpy"
version = "4.3.0"
description = "Automatically mock your HTTP interactions to simplify and speed up testing"
optional = false
python-versions = ">=3.7"
files = [
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{file = "vcrpy-4.3.0.tar.gz", hash = "sha256:49c270ce67e826dba027d83e20d25b67a5885487697e97bca6dbdf53d750a0ac"},
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[package.dependencies]
PyYAML = "*"
six = ">=1.5"
wrapt = "*"
yarl = "*"
[[package]]
name = "vcrpy"
version = "6.0.1"
@@ -4357,6 +4403,7 @@ files = [
[package.dependencies]
PyYAML = "*"
urllib3 = {version = "<2", markers = "platform_python_implementation == \"PyPy\" or python_version < \"3.10\""}
wrapt = "*"
yarl = "*"
@@ -4655,13 +4702,13 @@ multidict = ">=4.0"
[[package]]
name = "zipp"
version = "3.20.1"
version = "3.20.2"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.8"
files = [
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[package.extras]
@@ -4675,4 +4722,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "6285e2bb94bd02186bb92baa07d9af80829719f033c289f55af2a389a26758bc"
content-hash = "1cc5af74e349e4b828875d8e40e17c24245ceeb1f3df13ac53c702c97af85a80"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain"
version = "0.3.0.dev2"
version = "0.3.0"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"
@@ -33,8 +33,8 @@ langchain-server = "langchain.server:main"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = { version = "^0.3.0.dev5", allow-prereleases = true }
langchain-text-splitters = { version = "^0.3.0.dev1", allow-prereleases = true }
langchain-core = "^0.3.0"
langchain-text-splitters = "^0.3.0"
langsmith = "^0.1.17"
pydantic = "^2.7.4"
SQLAlchemy = ">=1.4,<3"
@@ -64,7 +64,7 @@ markers = [
"compile: mark placeholder test used to compile integration tests without running them",
]
asyncio_mode = "auto"
filterwarnings = [
filterwarnings = [
"ignore::langchain_core._api.beta_decorator.LangChainBetaWarning",
"ignore::langchain_core._api.deprecation.LangChainDeprecationWarning:tests",
"ignore::langchain_core._api.deprecation.LangChainPendingDeprecationWarning:tests",
@@ -108,7 +108,10 @@ pytest-socket = "^0.6.0"
syrupy = "^4.0.2"
requests-mock = "^1.11.0"
# TODO: hack to fix 3.9 builds
cffi = [{version = "<1.17.1", python="<3.10"}, {version = "*", python=">=3.10"}]
cffi = [
{ version = "<1.17.1", python = "<3.10" },
{ version = "*", python = ">=3.10" },
]
[tool.poetry.group.codespell.dependencies]
codespell = "^2.2.0"
@@ -123,7 +126,10 @@ langchainhub = "^0.1.16"
[tool.poetry.group.lint.dependencies]
ruff = "^0.5"
# TODO: hack to fix 3.9 builds
cffi = [{version = "<1.17.1", python="<3.10"}, {version = "*", python=">=3.10"}]
cffi = [
{ version = "<1.17.1", python = "<3.10" },
{ version = "*", python = ">=3.10" },
]
[tool.poetry.group.typing.dependencies]
mypy = "^1.10"

View File

@@ -511,7 +511,7 @@ files = [
[[package]]
name = "langchain-core"
version = "0.3.0.dev5"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -1315,4 +1315,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "520b8ec2e40d9b40e0a75635dfea41983b38298fdc4d42128684220ceb4833b4"
content-hash = "4251a8414020ba5c2ced1f82e63c206d9766aaabd863efff1bc900c921d18b87"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-anthropic"
version = "0.2.0.dev1"
version = "0.2.0"
description = "An integration package connecting AnthropicMessages and LangChain"
authors = []
readme = "README.md"
@@ -21,7 +21,7 @@ disallow_untyped_defs = "True"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
anthropic = ">=0.30.0,<1"
langchain-core = { version = "^0.3.0.dev5", allow-prereleases = true }
langchain-core = "^0.3.0"
pydantic = "^2.7.4"
[tool.ruff.lint]

View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.8.3 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 = "annotated-types"
@@ -184,13 +184,13 @@ files = [
[[package]]
name = "exa-py"
version = "1.0.18"
version = "1.1.3"
description = "Python SDK for Exa API."
optional = false
python-versions = "*"
files = [
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@@ -402,7 +402,7 @@ files = [
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version = "0.3.0.dev1"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -411,9 +411,12 @@ develop = true
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jsonpatch = "^1.33"
langsmith = "^0.1.75"
langsmith = "^0.1.117"
packaging = ">=23.2,<25"
pydantic = "^2.7.4"
pydantic = [
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{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = "^8.1.0,!=8.4.0"
typing-extensions = ">=4.7"
@@ -424,13 +427,13 @@ url = "../../core"
[[package]]
name = "langsmith"
version = "0.1.115"
version = "0.1.120"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
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@@ -502,13 +505,13 @@ files = [
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version = "1.44.0"
version = "1.45.0"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
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@@ -618,123 +621,123 @@ testing = ["pytest", "pytest-benchmark"]
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name = "pydantic"
version = "2.9.0"
version = "2.9.1"
description = "Data validation using Python type hints"
optional = false
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{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:59d52cf01854cb26c46958552a21acb10dd78a52aa34c86f284e66b209db8cab"},
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]
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@@ -1029,26 +1032,15 @@ files = [
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[[package]]
name = "tzdata"
version = "2024.1"
description = "Provider of IANA time zone data"
optional = false
python-versions = ">=2"
files = [
{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
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[[package]]
name = "urllib3"
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version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
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python-versions = ">=3.8"
files = [
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@@ -1102,4 +1094,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "b5b90240bd54cb745a87c429692710ec3bbf8cd03a6ca1d2242e1dbe01b12719"
content-hash = "5cf789b2b34b62dd0688b96ef973db6ef18e52c172f45ba4a4d4accbc2c070f9"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-exa"
version = "0.1.0"
version = "0.2.0"
description = "An integration package connecting Exa and LangChain"
authors = []
readme = "README.md"
@@ -20,7 +20,7 @@ disallow_untyped_defs = "True"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = "^0.3.0.dev"
langchain-core = "^0.3.0"
exa-py = "^1.0.8"
[tool.ruff.lint]

View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
@@ -667,7 +667,7 @@ files = [
[[package]]
name = "langchain-core"
version = "0.3.0.dev5"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -678,7 +678,10 @@ develop = true
jsonpatch = "^1.33"
langsmith = "^0.1.117"
packaging = ">=23.2,<25"
pydantic = "^2.7.4"
pydantic = [
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = "^8.1.0,!=8.4.0"
typing-extensions = ">=4.7"
@@ -708,21 +711,21 @@ url = "../../standard-tests"
[[package]]
name = "langsmith"
version = "0.1.117"
version = "0.1.120"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.117-py3-none-any.whl", hash = "sha256:e936ee9bcf8293b0496df7ba462a3702179fbe51f9dc28744b0fbec0dbf206ae"},
{file = "langsmith-0.1.117.tar.gz", hash = "sha256:a1b532f49968b9339bcaff9118d141846d52ed3d803f342902e7448edf1d662b"},
{file = "langsmith-0.1.120-py3-none-any.whl", hash = "sha256:54d2785e301646c0988e0a69ebe4d976488c87b41928b358cb153b6ddd8db62b"},
{file = "langsmith-0.1.120.tar.gz", hash = "sha256:25499ca187b41bd89d784b272b97a8d76f60e0e21bdf20336e8a2aa6a9b23ac9"},
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orjson = ">=3.9.14,<4.0.0"
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{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
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requests = ">=2,<3"
@@ -890,13 +893,13 @@ files = [
[[package]]
name = "openai"
version = "1.44.1"
version = "1.45.0"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
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{file = "openai-1.44.1.tar.gz", hash = "sha256:e0ffdab601118329ea7529e684b606a72c6c9d4f05be9ee1116255fcf5593874"},
{file = "openai-1.45.0-py3-none-any.whl", hash = "sha256:2f1f7b7cf90f038a9f1c24f0d26c0f1790c102ec5acd07ffd70a9b7feac1ff4e"},
{file = "openai-1.45.0.tar.gz", hash = "sha256:731207d10637335413aa3c0955f8f8df30d7636a4a0f9c381f2209d32cf8de97"},
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@@ -1116,8 +1119,8 @@ files = [
annotated-types = ">=0.6.0"
pydantic-core = "2.23.3"
typing-extensions = [
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
]
[package.extras]
@@ -1530,13 +1533,13 @@ files = [
[[package]]
name = "urllib3"
version = "2.2.2"
version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
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lock-version = "2.0"
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content-hash = "bbe033083912607ce26fc35f7d73a95ff7d1d16d115a0fb9f2c8768d7d119788"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-fireworks"
version = "0.2.0.dev2"
version = "0.2.0"
description = "An integration package connecting Fireworks and LangChain"
authors = []
readme = "README.md"
@@ -20,7 +20,7 @@ disallow_untyped_defs = "True"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = { version = "^0.3.0.dev5", allow-prereleases = true }
langchain-core = "^0.3.0"
fireworks-ai = ">=0.13.0"
openai = "^1.10.0"
requests = "^2"

View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.8.3 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 = "annotated-types"
@@ -321,7 +321,7 @@ files = [
[[package]]
name = "langchain-core"
version = "0.3.0.dev5"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -963,4 +963,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
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View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-groq"
version = "0.2.0.dev1"
version = "0.2.0"
description = "An integration package connecting Groq and LangChain"
authors = []
readme = "README.md"
@@ -20,7 +20,7 @@ disallow_untyped_defs = "True"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = { version = "^0.3.0.dev4", allow-prereleases = true }
langchain-core = "^0.3"
groq = ">=0.4.1,<1"
[tool.ruff.lint]

View File

@@ -1087,26 +1087,26 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
[[package]]
name = "langchain"
version = "0.3.0.dev1"
version = "0.3.0.dev2"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.9"
files = [
{file = "langchain-0.3.0.dev1-py3-none-any.whl", hash = "sha256:a57ec978b48915cfdbf6f7a683bc7b7c8b8dba2bbb8646f821740f42670430e9"},
{file = "langchain-0.3.0.dev1.tar.gz", hash = "sha256:27696f01e59aa772da082f5adff9d5f58b6edabe85392a54967456727c941362"},
{file = "langchain-0.3.0.dev2-py3-none-any.whl", hash = "sha256:f84d318aed04a01a700659c90063a8f3cb0cf2c055d312ad6aaae177ab709963"},
{file = "langchain-0.3.0.dev2.tar.gz", hash = "sha256:08d6617518fee66163ae21f7dfb535bf336cfcfa9f3d91c25f0eace76355d50b"},
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aiohttp = ">=3.8.3,<4.0.0"
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
langchain-core = ">=0.3.0.dev2,<0.4.0"
langchain-core = ">=0.3.0.dev5,<0.4.0"
langchain-text-splitters = ">=0.3.0.dev1,<0.4.0"
langsmith = ">=0.1.17,<0.2.0"
numpy = [
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{version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
]
pydantic = ">=1,<3"
pydantic = ">=2.7.4,<3.0.0"
PyYAML = ">=5.3"
requests = ">=2,<3"
SQLAlchemy = ">=1.4,<3"
@@ -1114,7 +1114,7 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
[[package]]
name = "langchain-community"
version = "0.3.0.dev1"
version = "0.3.0.dev2"
description = "Community contributed LangChain integrations."
optional = false
python-versions = ">=3.9,<4.0"
@@ -1124,8 +1124,8 @@ develop = true
[package.dependencies]
aiohttp = "^3.8.3"
dataclasses-json = ">= 0.5.7, < 0.7"
langchain = "^0.3.0.dev1"
langchain-core = "^0.3.0.dev2"
langchain = "^0.3.0.dev2"
langchain-core = "^0.3.0.dev5"
langsmith = "^0.1.112"
numpy = [
{version = ">=1,<2", markers = "python_version < \"3.12\""},
@@ -1143,7 +1143,7 @@ url = "../../community"
[[package]]
name = "langchain-core"
version = "0.3.0.dev4"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -1154,7 +1154,10 @@ develop = true
jsonpatch = "^1.33"
langsmith = "^0.1.117"
packaging = ">=23.2,<25"
pydantic = "^2.7.4"
pydantic = [
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = "^8.1.0,!=8.4.0"
typing-extensions = ">=4.7"
@@ -3660,4 +3663,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "ab774e0ccb40b389e92a260d142447d8bb6de876906d9b2f084fd7f16b8e7eee"
content-hash = "935cfcef42083ca2d00fab8dc58837c2911041ea1526c684a54c4a1404648d39"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-huggingface"
version = "0.1.0.dev1"
version = "0.1.0"
description = "An integration package connecting Hugging Face and LangChain"
authors = []
readme = "README.md"
@@ -20,7 +20,7 @@ disallow_untyped_defs = "True"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = { version = "^0.3.0.dev4", allow-prereleases = true }
langchain-core = ">=0.3.0,<0.4"
tokenizers = ">=0.19.1"
transformers = ">=4.39.0"
sentence-transformers = ">=2.6.0"

View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.6.1 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 = "annotated-types"
@@ -391,7 +391,7 @@ files = [
[[package]]
name = "langchain-core"
version = "0.3.0.dev5"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -1153,4 +1153,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "504fdae5c6e17ac01afda63594261596ea1c380e76d659cf093252c83552253c"
content-hash = "55dc468994bd85a715a6a5a92d02ff746ae3d40c49989a57123213deaab1ab86"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-mistralai"
version = "0.2.0.dev1"
version = "0.2.0"
description = "An integration package connecting Mistral and LangChain"
authors = []
readme = "README.md"
@@ -20,10 +20,11 @@ disallow_untyped_defs = "True"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = { version = "^0.3.0.dev4", allow-prereleases = true }
langchain-core = "^0.3.0"
tokenizers = ">=0.15.1,<1"
httpx = ">=0.25.2,<1"
httpx-sse = ">=0.3.1,<1"
pydantic = ">=2,<3"
[tool.ruff.lint]
select = ["E", "F", "I", "T201"]

View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "annotated-types"
@@ -291,7 +291,7 @@ files = [
[[package]]
name = "langchain-core"
version = "0.3.0.dev4"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -300,9 +300,12 @@ develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.112"
langsmith = "^0.1.117"
packaging = ">=23.2,<25"
pydantic = "^2.7.4"
pydantic = [
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{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = "^8.1.0,!=8.4.0"
typing-extensions = ">=4.7"
@@ -332,21 +335,21 @@ url = "../../standard-tests"
[[package]]
name = "langsmith"
version = "0.1.117"
version = "0.1.120"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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{file = "langsmith-0.1.117.tar.gz", hash = "sha256:a1b532f49968b9339bcaff9118d141846d52ed3d803f342902e7448edf1d662b"},
{file = "langsmith-0.1.120-py3-none-any.whl", hash = "sha256:54d2785e301646c0988e0a69ebe4d976488c87b41928b358cb153b6ddd8db62b"},
{file = "langsmith-0.1.120.tar.gz", hash = "sha256:25499ca187b41bd89d784b272b97a8d76f60e0e21bdf20336e8a2aa6a9b23ac9"},
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httpx = ">=0.23.0,<1"
orjson = ">=3.9.14,<4.0.0"
pydantic = [
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{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
requests = ">=2,<3"
@@ -529,8 +532,8 @@ files = [
annotated-types = ">=0.6.0"
pydantic-core = "2.23.3"
typing-extensions = [
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
]
[package.extras]
@@ -880,13 +883,13 @@ files = [
[[package]]
name = "urllib3"
version = "2.2.2"
version = "2.2.3"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
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{file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
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@@ -940,4 +943,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "a0611f4b7d9f7a6405a5dfa0347ae7208902ff11ec9dae22c601e381a9fa5253"
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View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-ollama"
version = "0.2.0.dev1"
version = "0.2.0"
description = "An integration package connecting Ollama and LangChain"
authors = []
readme = "README.md"
@@ -21,7 +21,7 @@ disallow_untyped_defs = "True"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
ollama = ">=0.3.0,<1"
langchain-core = { version = "^0.3.0.dev4", allow-prereleases = true }
langchain-core = "^0.3.0"
[tool.ruff.lint]
select = ["E", "F", "I", "T201"]

View File

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# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
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{file = "pydantic_core-2.23.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:59d52cf01854cb26c46958552a21acb10dd78a52aa34c86f284e66b209db8cab"},
{file = "pydantic_core-2.23.3.tar.gz", hash = "sha256:3cb0f65d8b4121c1b015c60104a685feb929a29d7cf204387c7f2688c7974690"},
]
[package.dependencies]
@@ -1446,17 +1448,6 @@ files = [
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[[package]]
name = "tzdata"
version = "2024.1"
description = "Provider of IANA time zone data"
optional = false
python-versions = ">=2"
files = [
{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
]
[[package]]
name = "urllib3"
version = "2.2.3"
@@ -1519,4 +1510,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "24716f2ed37064f1494928c4840c99b90d4ddba2f84a83b004d4730f8a5a4ae0"
content-hash = "d166346e440b35690981e166fd6d92f254afcdd57a661ba9f811842cc96622e7"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-openai"
version = "0.2.0.dev2"
version = "0.2.0"
description = "An integration package connecting OpenAI and LangChain"
authors = []
readme = "README.md"
@@ -23,7 +23,7 @@ ignore_missing_imports = true
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = { version = "^0.3.0.dev1", allow-prereleases = true }
langchain-core = "^0.3"
openai = "^1.40.0"
tiktoken = ">=0.7,<1"

File diff suppressed because it is too large Load Diff

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-pinecone"
version = "0.2.0.dev1"
version = "0.2.0"
description = "An integration package connecting Pinecone and LangChain"
authors = []
readme = "README.md"
@@ -20,7 +20,7 @@ disallow_untyped_defs = "True"
[tool.poetry.dependencies]
python = ">=3.9,<3.13"
langchain-core = { version = "^0.3.0.dev5", allow-prereleases = true }
langchain-core = "^0.3"
pinecone-client = "^5.0.0"
aiohttp = ">=3.9.5,<3.10"

View File

@@ -1 +0,0 @@
__pycache__

View File

@@ -1,21 +0,0 @@
MIT License
Copyright (c) 2023 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

View File

@@ -1,59 +0,0 @@
.PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_test integration_tests: TEST_FILE=tests/integration_tests/
test tests integration_test integration_tests:
poetry run pytest $(TEST_FILE)
test_watch:
poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE)
######################
# LINTING AND FORMATTING
######################
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/action-server --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langchain_robocorp
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)
spell_check:
poetry run codespell --toml pyproject.toml
spell_fix:
poetry run codespell --toml pyproject.toml -w
check_imports: $(shell find langchain_robocorp -name '*.py')
poetry run python ./scripts/check_imports.py $^
######################
# HELP
######################
help:
@echo '----'
@echo 'check_imports - check imports'
@echo 'format - run code formatters'
@echo 'lint - run linters'
@echo 'test - run unit tests'
@echo 'tests - run unit tests'
@echo 'test TEST_FILE=<test_file> - run all tests in file'

View File

@@ -1,17 +0,0 @@
# langchain-robocorp
| Note: this package is deprecated in favor of the renamed `langchain-sema4` package ([repo](https://github.com/langchain-ai/langchain-sema4), [package](https://pypi.org/project/langchain-sema4/)). |
|-|
This package contains the LangChain integrations for [Robocorp Action Server](https://github.com/robocorp/robocorp).
Action Server enables an agent to execute actions in the real world.
## Installation
```bash
pip install -U langchain-robocorp
```
## Action Server Toolkit
See [ActionServerToolkit](https://python.langchain.com/docs/integrations/tools/robocorp) for detailed documentation.

View File

@@ -1,5 +0,0 @@
from langchain_robocorp.toolkits import ActionServerToolkit
__all__ = [
"ActionServerToolkit",
]

View File

@@ -1,175 +0,0 @@
import time
from dataclasses import dataclass
from typing import Any, Dict, List, Set, Tuple, Union, cast
from langchain_core.utils.json_schema import dereference_refs
from langchain_core.utils.pydantic import is_basemodel_instance
from pydantic import (
BaseModel,
Field,
create_model,
)
@dataclass(frozen=True)
class ReducedOpenAPISpec:
"""A reduced OpenAPI spec.
This is reduced representation for OpenAPI specs.
Attributes:
servers: The servers in the spec.
description: The description of the spec.
endpoints: The endpoints in the spec.
"""
servers: List[dict]
description: str
endpoints: List[Tuple[str, dict]]
def reduce_openapi_spec(url: str, spec: dict) -> ReducedOpenAPISpec:
"""Simplify OpenAPI spec to only required information for the agent"""
# 1. Consider only GET and POST
endpoints = [
(route, docs)
for route, operation in spec["paths"].items()
for operation_name, docs in operation.items()
if operation_name in ["get", "post"]
]
# 2. Replace any refs so that complete docs are retrieved.
# Note: probably want to do this post-retrieval, it blows up the size of the spec.
# 3. Strip docs down to required request args + happy path response.
def reduce_endpoint_docs(docs: dict) -> dict:
out = {}
if docs.get("summary"):
out["summary"] = docs.get("summary")
if docs.get("operationId"):
out["operationId"] = docs.get("operationId")
if docs.get("description"):
out["description"] = docs.get("description")
if docs.get("parameters"):
out["parameters"] = [
parameter
for parameter in docs.get("parameters", [])
if parameter.get("required")
]
if "200" in docs["responses"]:
out["responses"] = docs["responses"]["200"]
if docs.get("requestBody"):
out["requestBody"] = docs.get("requestBody")
return out
endpoints = [
(name, reduce_endpoint_docs(dereference_refs(docs, full_schema=spec)))
for name, docs in endpoints
]
return ReducedOpenAPISpec(
servers=[
{
"url": url,
}
],
description=spec["info"].get("description", ""),
endpoints=endpoints,
)
type_mapping = {
"string": str,
"integer": int,
"number": float,
"object": dict,
"array": list,
"boolean": bool,
"null": type(None),
}
def get_schema(endpoint_spec: dict) -> dict:
return (
endpoint_spec.get("requestBody", {})
.get("content", {})
.get("application/json", {})
.get("schema", {})
)
def create_field(
schema: dict, required: bool, created_model_names: Set[str]
) -> Tuple[Any, Any]:
"""
Creates a Pydantic field based on the schema definition.
"""
if "anyOf" in schema:
field_types = [
create_field(sub_schema, required, created_model_names)[0]
for sub_schema in schema["anyOf"]
]
if len(field_types) == 1:
field_type = field_types[0] # Simplified handling
else:
field_type = Union[tuple(field_types)]
else:
field_type = type_mapping.get(schema.get("type", "string"), str)
description = schema.get("description", "")
# Handle nested objects
if schema.get("type") == "object":
nested_fields = {
k: create_field(v, k in schema.get("required", []), created_model_names)
for k, v in schema.get("properties", {}).items()
}
model_name = schema.get("title", f"NestedModel{time.time()}")
if model_name in created_model_names:
# needs to be unique
model_name = model_name + str(time.time())
nested_model = create_model(model_name, **nested_fields) # type: ignore
created_model_names.add(model_name)
return nested_model, Field(... if required else None, description=description)
# Handle arrays
elif schema.get("type") == "array":
item_type, _ = create_field(
schema["items"], required=True, created_model_names=created_model_names
)
return List[item_type], Field( # type: ignore
... if required else None, description=description
)
# Other types
return field_type, Field(... if required else None, description=description)
def get_param_fields(endpoint_spec: dict) -> dict:
"""Get an OpenAPI endpoint parameter details"""
schema = get_schema(endpoint_spec)
properties = schema.get("properties", {})
required_fields = schema.get("required", [])
fields = {}
created_model_names: Set[str] = set()
for key, value in properties.items():
is_required = key in required_fields
field_info = create_field(value, is_required, created_model_names)
fields[key] = field_info
return fields
def model_to_dict(
item: Union[BaseModel, List, Dict[str, Any]],
) -> Any:
if is_basemodel_instance(item):
return cast(BaseModel, item).dict()
elif isinstance(item, dict):
return {key: model_to_dict(value) for key, value in item.items()}
elif isinstance(item, list):
return [model_to_dict(element) for element in item]
else:
return item

View File

@@ -1,18 +0,0 @@
API_CONTROLLER_PROMPT = (
"You are turning user input into a json query"
""" for an API request tool.
The final output to the tool should be a json string with a single key "data".
The value of "data" should be a dictionary of key-value pairs you want """
"""to POST to the url.
Always use double quotes for strings in the json string.
Always respond only with the json object and nothing else.
Here is documentation on the API:
Base url: {api_url}
Endpoint documentation:
{api_docs}
User Input: {input}
"""
)

View File

@@ -1,249 +0,0 @@
"""Robocorp Action Server toolkit."""
from __future__ import annotations
import json
from typing import Any, Callable, Dict, List, Optional, TypedDict
from urllib.parse import urljoin
import requests
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.callbacks.base import BaseCallbackHandler
from langchain_core.callbacks.manager import CallbackManager
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import PromptTemplate
from langchain_core.runnables import Runnable, RunnablePassthrough
from langchain_core.tools import BaseTool, StructuredTool, Tool
from langchain_core.tracers.context import _tracing_v2_is_enabled
from langsmith import Client
from pydantic import BaseModel, ConfigDict, Field, PrivateAttr, create_model
from langchain_robocorp._common import (
get_param_fields,
model_to_dict,
reduce_openapi_spec,
)
from langchain_robocorp._prompts import (
API_CONTROLLER_PROMPT,
)
LLM_TRACE_HEADER = "X-action-trace"
class RunDetailsCallbackHandler(BaseCallbackHandler):
"""Callback handler to add run details to the run."""
def __init__(self, run_details: dict) -> None:
"""Initialize the callback handler.
Args:
run_details (dict): Run details.
"""
self.run_details = run_details
def on_tool_start(
self,
serialized: Dict[str, Any],
input_str: str,
**kwargs: Any,
) -> None:
if "parent_run_id" in kwargs:
self.run_details["run_id"] = kwargs["parent_run_id"]
else:
if "run_id" in self.run_details:
self.run_details.pop("run_id")
class ToolInputSchema(BaseModel):
"""Tool input schema."""
question: str = Field(...)
class ToolArgs(TypedDict):
"""Tool arguments."""
name: str
description: str
callback_manager: CallbackManager
class ActionServerRequestTool(BaseTool):
"""Requests POST tool with LLM-instructed extraction of truncated responses."""
name: str = "action_server_request"
"""Tool name."""
description: str = "Useful to make requests to Action Server API"
"""Tool description."""
endpoint: str
""""Action API endpoint"""
action_request: Callable[[str], str]
"""Action request execution"""
def _run(
self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None
) -> str:
try:
json_text = query[query.find("{") : query.rfind("}") + 1]
payload = json.loads(json_text)
except json.JSONDecodeError as e:
raise e
return self.action_request(self.endpoint, **payload["data"])
async def _arun(self, text: str) -> str:
raise NotImplementedError()
class ActionServerToolkit(BaseModel):
"""Toolkit exposing Robocorp Action Server provided actions as individual tools."""
url: str = Field(exclude=True)
"""Action Server URL"""
api_key: str = Field(exclude=True, default="")
"""Action Server request API key"""
additional_headers: dict = Field(exclude=True, default_factory=dict)
"""Additional headers to be passed to the Action Server"""
report_trace: bool = Field(exclude=True, default=False)
"""Enable reporting Langsmith trace to Action Server runs"""
_run_details: dict = PrivateAttr({})
model_config = ConfigDict(
arbitrary_types_allowed=True,
)
def get_tools(
self,
llm: Optional[BaseChatModel] = None,
callback_manager: Optional[CallbackManager] = None,
) -> List[BaseTool]:
"""
Get Action Server actions as a toolkit
:param llm: Optionally pass a model to return single input tools
:param callback_manager: Callback manager to be passed to tools
"""
# Fetch and format the API spec
try:
spec_url = urljoin(self.url, "openapi.json")
response = requests.get(spec_url)
json_spec = response.json()
api_spec = reduce_openapi_spec(self.url, json_spec)
except Exception:
raise ValueError(
f"Failed to fetch OpenAPI schema from Action Server - {self.url}"
)
# Prepare request tools
self._run_details: dict = {}
# Prepare callback manager
if callback_manager is None:
callback_manager = CallbackManager([])
callbacks: List[BaseCallbackHandler] = []
if _tracing_v2_is_enabled():
callbacks.append(RunDetailsCallbackHandler(self._run_details))
for callback in callbacks:
callback_manager.add_handler(callback)
toolkit: List[BaseTool] = []
# Prepare tools
for endpoint, docs in api_spec.endpoints:
if not endpoint.startswith("/api/actions"):
continue
tool_args: ToolArgs = {
"name": docs["operationId"],
"description": docs["description"],
"callback_manager": callback_manager,
}
if llm:
tool = self._get_unstructured_tool(endpoint, docs, tool_args, llm)
else:
tool = self._get_structured_tool(endpoint, docs, tool_args)
toolkit.append(tool)
return toolkit
def _get_unstructured_tool(
self,
endpoint: str,
docs: dict,
tool_args: ToolArgs,
llm: BaseChatModel,
) -> BaseTool:
request_tool = ActionServerRequestTool(
action_request=self._action_request, endpoint=endpoint
)
prompt_variables = {
"api_url": self.url,
}
tool_name = tool_args["name"]
tool_docs = json.dumps(docs, indent=4)
prompt_variables["api_docs"] = f"{tool_name}: \n{tool_docs}"
prompt = PromptTemplate(
template=API_CONTROLLER_PROMPT,
input_variables=["input"],
partial_variables=prompt_variables,
)
chain: Runnable = (
{"input": RunnablePassthrough()}
| prompt
| llm
| StrOutputParser()
| request_tool
)
return Tool(func=chain.invoke, args_schema=ToolInputSchema, **tool_args)
def _get_structured_tool(
self, endpoint: str, docs: dict, tools_args: ToolArgs
) -> BaseTool:
fields = get_param_fields(docs)
_DynamicToolInputSchema = create_model("DynamicToolInputSchema", **fields)
def dynamic_func(**data: dict[str, Any]) -> str:
return self._action_request(endpoint, **model_to_dict(data))
dynamic_func.__name__ = tools_args["name"]
dynamic_func.__doc__ = tools_args["description"]
return StructuredTool(
func=dynamic_func,
args_schema=_DynamicToolInputSchema,
**tools_args,
)
def _action_request(self, endpoint: str, **data: dict[str, Any]) -> str:
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
**self.additional_headers,
}
try:
if self.report_trace and "run_id" in self._run_details:
client = Client()
run = client.read_run(self._run_details["run_id"])
if run.url:
headers[LLM_TRACE_HEADER] = run.url
except Exception:
pass
url = urljoin(self.url, endpoint)
response = requests.post(url, headers=headers, data=json.dumps(data))
return response.text

View File

@@ -1,872 +0,0 @@
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
[[package]]
name = "certifi"
version = "2024.7.4"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
{file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
]
[[package]]
name = "charset-normalizer"
version = "3.3.2"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false
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watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
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content-hash = "a684f0e24648e9106bbb7d79554a71fca47235b61961159872a5d72267406aab"

View File

@@ -1,86 +0,0 @@
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-robocorp"
version = "0.0.10"
description = "An integration package connecting Robocorp Action Server and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.mypy]
disallow_untyped_defs = "True"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/robocorp"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = "^0.3.0.dev"
requests = "^2.31.0"
types-requests = "^2.31.0.6"
pydantic = ">=2,<3"
[tool.ruff.lint]
select = ["E", "F", "I", "T201"]
[tool.coverage.run]
omit = ["tests/*"]
[tool.pytest.ini_options]
addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5"
markers = [
"requires: mark tests as requiring a specific library",
"asyncio: mark tests as requiring asyncio",
"compile: mark placeholder test used to compile integration tests without running them",
]
asyncio_mode = "auto"
[tool.poetry.group.test]
optional = true
[tool.poetry.group.codespell]
optional = true
[tool.poetry.group.test_integration]
optional = true
[tool.poetry.group.lint]
optional = true
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.test.dependencies]
pytest = "^7.3.0"
freezegun = "^1.2.2"
pytest-mock = "^3.10.0"
syrupy = "^4.0.2"
pytest-watcher = "^0.3.4"
pytest-asyncio = "^0.21.1"
[tool.poetry.group.codespell.dependencies]
codespell = "^2.2.0"
[tool.poetry.group.test_integration.dependencies]
[tool.poetry.group.lint.dependencies]
ruff = "^0.5"
[tool.poetry.group.typing.dependencies]
mypy = "^1.10"
[tool.poetry.group.test.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.dev.dependencies.langchain-core]
path = "../../core"
develop = true
[tool.poetry.group.typing.dependencies.langchain-core]
path = "../../core"
develop = true

View File

@@ -1,17 +0,0 @@
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
print(file) # noqa: T201
traceback.print_exc()
print() # noqa: T201
sys.exit(1 if has_failure else 0)

View File

@@ -1,17 +0,0 @@
#!/bin/bash
set -eu
# Initialize a variable to keep track of errors
errors=0
# make sure not importing from langchain or langchain_experimental
git --no-pager grep '^from langchain\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1))
# Decide on an exit status based on the errors
if [ "$errors" -gt 0 ]; then
exit 1
else
exit 0
fi

View File

@@ -1,7 +0,0 @@
import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass

View File

@@ -1,73 +0,0 @@
from typing import Any, List, Optional
from langchain_core.callbacks.manager import CallbackManagerForLLMRun
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import AIMessage, BaseMessage
from langchain_core.outputs import ChatGeneration, ChatResult
class FakeChatLLMT(BaseChatModel):
@property
def _llm_type(self) -> str:
return "fake-openai-chat-model"
def _generate(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
**kwargs: Any,
) -> ChatResult:
return ChatResult(
generations=[
ChatGeneration(
message=AIMessage(
content="",
additional_kwargs={
"function_call": {
"name": "accept",
"arguments": '{\n "draft": "turtles"\n}',
}
},
)
)
]
)
openapi_endpoint_doc_mock = {
"summary": "Test Action",
"operationId": "test_action",
"description": "Greets an employee",
"responses": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "string",
"title": "Response Test Action",
"description": "The greeting",
}
}
},
},
"requestBody": {
"content": {
"application/json": {
"schema": {
"properties": {
"name": {
"type": "string",
"title": "Name",
"description": "Name of the employee",
}
},
"type": "object",
"required": ["name"],
"title": "TestActionInput",
}
}
},
"required": True,
},
}

View File

@@ -1,411 +0,0 @@
{
"openapi": "3.1.0",
"info": {
"title": "Robocorp Actions Server",
"description": "Robocorp Actions Server",
"version": "0.1.0"
},
"paths": {
"/api/actions/test/test-action/run": {
"post": {
"summary": "Test Action",
"description": "Greets an employee",
"operationId": "test_action",
"requestBody": {
"content": {
"application/json": {
"schema": { "$ref": "#/components/schemas/TestActionInput" }
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "string",
"title": "Response Test Action",
"description": "The greeting"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": { "$ref": "#/components/schemas/HTTPValidationError" }
}
}
}
}
}
},
"/api/runs": {
"get": {
"summary": "List Runs",
"operationId": "list_runs_api_runs_get",
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"items": { "$ref": "#/components/schemas/Run" },
"type": "array",
"title": "Response List Runs Api Runs Get"
}
}
}
}
}
}
},
"/api/runs/{run_id}": {
"get": {
"summary": "Show Run",
"operationId": "show_run_api_runs__run_id__get",
"parameters": [
{
"name": "run_id",
"in": "path",
"required": true,
"schema": { "type": "string", "title": "ID for run" }
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": { "$ref": "#/components/schemas/Run" }
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": { "$ref": "#/components/schemas/HTTPValidationError" }
}
}
}
}
}
},
"/api/runs/{run_id}/artifacts": {
"get": {
"summary": "Get Run Artifacts",
"operationId": "get_run_artifacts_api_runs__run_id__artifacts_get",
"parameters": [
{
"name": "run_id",
"in": "path",
"required": true,
"schema": { "type": "string", "title": "ID for run" }
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "array",
"items": { "$ref": "#/components/schemas/ArtifactInfo" },
"description": "Provides a list with the artifacts available\nfor a given run (i.e.: [{'name': '__action_server_output.txt', 'size_in_bytes': 22}])\n",
"title": "Response Get Run Artifacts Api Runs Run Id Artifacts Get"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": { "$ref": "#/components/schemas/HTTPValidationError" }
}
}
}
}
}
},
"/api/runs/{run_id}/log.html": {
"get": {
"summary": "Get Run Log Html",
"operationId": "get_run_log_html_api_runs__run_id__log_html_get",
"parameters": [
{
"name": "run_id",
"in": "path",
"required": true,
"schema": { "type": "string", "title": "ID for run" }
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": { "application/json": { "schema": {} } }
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": { "$ref": "#/components/schemas/HTTPValidationError" }
}
}
}
}
}
},
"/api/runs/{run_id}/artifacts/text-content": {
"get": {
"summary": "Get Run Artifact Text",
"operationId": "get_run_artifact_text_api_runs__run_id__artifacts_text_content_get",
"parameters": [
{
"name": "run_id",
"in": "path",
"required": true,
"schema": { "type": "string", "title": "ID for run" }
},
{
"name": "artifact_names",
"in": "query",
"required": false,
"schema": {
"anyOf": [
{ "type": "array", "items": { "type": "string" } },
{ "type": "null" }
],
"title": "Artifact names for which the content should be gotten."
}
},
{
"name": "artifact_name_regexp",
"in": "query",
"required": false,
"schema": {
"anyOf": [{ "type": "string" }, { "type": "null" }],
"title": "A regexp to match artifact names."
}
}
],
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "object",
"additionalProperties": { "type": "string" },
"title": "Response Get Run Artifact Text Api Runs Run Id Artifacts Text Content Get"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": { "$ref": "#/components/schemas/HTTPValidationError" }
}
}
}
}
}
},
"/api/runs/{run_id}/artifacts/binary-content": {
"get": {
"summary": "Get Run Artifact Binary",
"operationId": "get_run_artifact_binary_api_runs__run_id__artifacts_binary_content_get",
"parameters": [
{
"name": "run_id",
"in": "path",
"required": true,
"schema": { "type": "string", "title": "ID for run" }
},
{
"name": "artifact_name",
"in": "query",
"required": true,
"schema": {
"type": "string",
"title": "Artifact name for which the content should be gotten."
}
}
],
"responses": {
"200": { "description": "Successful Response" },
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": { "$ref": "#/components/schemas/HTTPValidationError" }
}
}
}
}
}
},
"/api/actionPackages": {
"get": {
"summary": "List Action Packages",
"operationId": "list_action_packages_api_actionPackages_get",
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"items": { "$ref": "#/components/schemas/ActionPackageApi" },
"type": "array",
"title": "Response List Action Packages Api Actionpackages Get"
}
}
}
}
}
}
}
},
"components": {
"schemas": {
"Action": {
"properties": {
"id": { "type": "string", "title": "Id" },
"action_package_id": {
"type": "string",
"title": "Action Package Id"
},
"name": { "type": "string", "title": "Name" },
"docs": { "type": "string", "title": "Docs" },
"file": { "type": "string", "title": "File" },
"lineno": { "type": "integer", "title": "Lineno" },
"input_schema": { "type": "string", "title": "Input Schema" },
"output_schema": { "type": "string", "title": "Output Schema" },
"enabled": { "type": "boolean", "title": "Enabled", "default": true },
"is_consequential": {
"anyOf": [{ "type": "boolean" }, { "type": "null" }],
"title": "Is Consequential"
}
},
"type": "object",
"required": [
"id",
"action_package_id",
"name",
"docs",
"file",
"lineno",
"input_schema",
"output_schema"
],
"title": "Action"
},
"ActionPackageApi": {
"properties": {
"id": { "type": "string", "title": "Id" },
"name": { "type": "string", "title": "Name" },
"actions": {
"items": { "$ref": "#/components/schemas/Action" },
"type": "array",
"title": "Actions"
}
},
"type": "object",
"required": ["id", "name", "actions"],
"title": "ActionPackageApi"
},
"ArtifactInfo": {
"properties": {
"name": { "type": "string", "title": "Name" },
"size_in_bytes": { "type": "integer", "title": "Size In Bytes" }
},
"type": "object",
"required": ["name", "size_in_bytes"],
"title": "ArtifactInfo"
},
"HTTPValidationError": {
"properties": {
"errors": {
"items": { "$ref": "#/components/schemas/ValidationError" },
"type": "array",
"title": "Errors"
}
},
"type": "object",
"title": "HTTPValidationError"
},
"Run": {
"properties": {
"id": { "type": "string", "title": "Id" },
"status": { "type": "integer", "title": "Status" },
"action_id": { "type": "string", "title": "Action Id" },
"start_time": { "type": "string", "title": "Start Time" },
"run_time": {
"anyOf": [{ "type": "number" }, { "type": "null" }],
"title": "Run Time"
},
"inputs": { "type": "string", "title": "Inputs" },
"result": {
"anyOf": [{ "type": "string" }, { "type": "null" }],
"title": "Result"
},
"error_message": {
"anyOf": [{ "type": "string" }, { "type": "null" }],
"title": "Error Message"
},
"relative_artifacts_dir": {
"type": "string",
"title": "Relative Artifacts Dir"
},
"numbered_id": { "type": "integer", "title": "Numbered Id" }
},
"type": "object",
"required": [
"id",
"status",
"action_id",
"start_time",
"run_time",
"inputs",
"result",
"error_message",
"relative_artifacts_dir",
"numbered_id"
],
"title": "Run"
},
"TestActionInput": {
"properties": {
"name": {
"type": "string",
"title": "Name",
"description": "Name of the employee"
}
},
"type": "object",
"required": ["name"],
"title": "TestActionInput"
},
"ValidationError": {
"properties": {
"loc": {
"items": { "anyOf": [{ "type": "string" }, { "type": "integer" }] },
"type": "array",
"title": "Location"
},
"msg": { "type": "string", "title": "Message" },
"type": { "type": "string", "title": "Error Type" }
},
"type": "object",
"required": ["loc", "msg", "type"],
"title": "ValidationError"
}
}
}
}

View File

@@ -1,387 +0,0 @@
{
"openapi": "3.1.0",
"info": {
"title": "Robocorp Action Server",
"version": "0.1.0"
},
"servers": [
{
"url": "https://hosted-actions.onrender.com"
}
],
"paths": {
"/api/actions/google-sheet-gmail/get-google-spreadsheet-schema/run": {
"post": {
"summary": "Get Google Spreadsheet Schema",
"description": "Action to get necessary information to be able to work with a Google Sheet Spreadsheets correctly.\nUse this action minimum once before anything else, to learn about the structure\nof the Spreadsheet. Method will return the first few rows of each Sheet as an example.",
"operationId": "get_google_spreadsheet_schema",
"requestBody": {
"content": {
"application/json": {
"schema": {
"properties": {},
"type": "object"
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "string",
"title": "Response Get Google Spreadsheet Schema",
"description": "Names of the sheets, and a couple of first rows from each sheet to explain the context."
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
},
"security": [
{
"HTTPBearer": []
}
]
}
},
"/api/actions/google-sheet-gmail/create-new-google-sheet/run": {
"post": {
"summary": "Create New Google Sheet",
"description": "Creates a new empty Sheet in user's Google Spreadsheet.",
"operationId": "create_new_google_sheet",
"requestBody": {
"content": {
"application/json": {
"schema": {
"properties": {
"name": {
"type": "string",
"title": "Name",
"description": "Name of the Sheet. You must refer to this Sheet name later when adding or reading date from the Sheet."
}
},
"type": "object",
"required": [
"name"
]
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "string",
"title": "Response Create New Google Sheet",
"description": "True if operation was success, and False if it failed."
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
},
"security": [
{
"HTTPBearer": []
}
]
}
},
"/api/actions/google-sheet-gmail/add-sheet-rows/run": {
"post": {
"summary": "Add Sheet Rows",
"description": "Action to add multiple rows to the Google sheet. Get the sheets with get_google_spreadsheet_schema if you don't know\nthe names or data structure. Make sure the values are in correct columns (needs to be ordered the same as in the sample).\nStrictly adhere to the schema.",
"operationId": "add_sheet_rows",
"requestBody": {
"content": {
"application/json": {
"schema": {
"properties": {
"sheet": {
"type": "string",
"title": "Sheet",
"description": "Name of the sheet where the data is added to"
},
"rows_to_add": {
"properties": {
"rows": {
"items": {
"properties": {
"columns": {
"items": {
"type": "string"
},
"type": "array",
"title": "Columns",
"description": "The columns that make up the row"
}
},
"type": "object",
"required": [
"columns"
],
"title": "Row"
},
"type": "array",
"title": "Rows",
"description": "The rows that need to be added"
}
},
"type": "object",
"required": [
"rows"
],
"title": "Rows To Add",
"description": "the rows to be added to the sheet"
}
},
"type": "object",
"required": [
"sheet",
"rows_to_add"
]
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "string",
"title": "Response Add Sheet Rows",
"description": "The result of the operation."
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
},
"security": [
{
"HTTPBearer": []
}
]
}
},
"/api/actions/google-sheet-gmail/get-sheet-contents/run": {
"post": {
"summary": "Get Sheet Contents",
"description": "Get all content from the chosen Google Spreadsheet Sheet.",
"operationId": "get_sheet_contents",
"requestBody": {
"content": {
"application/json": {
"schema": {
"properties": {
"sheet": {
"type": "string",
"title": "Sheet",
"description": "Name of the sheet from which to get the data"
}
},
"type": "object",
"required": [
"sheet"
]
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "string",
"title": "Response Get Sheet Contents",
"description": "Sheet data as string, rows separated by newlines"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
},
"security": [
{
"HTTPBearer": []
}
]
}
},
"/api/actions/google-sheet-gmail/send-email-via-gmail/run": {
"post": {
"summary": "Send Email Via Gmail",
"description": "Sends an email using Gmail SMTP with an App Password for authentication.",
"operationId": "send_email_via_gmail",
"requestBody": {
"content": {
"application/json": {
"schema": {
"properties": {
"subject": {
"type": "string",
"title": "Subject",
"description": "Email subject"
},
"body": {
"type": "string",
"title": "Body",
"description": "Email body content"
},
"recipient": {
"type": "string",
"title": "Recipient",
"description": "Recipient email address"
}
},
"type": "object",
"required": [
"subject",
"body",
"recipient"
]
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"type": "string",
"title": "Response Send Email Via Gmail",
"description": "Information if the send was successful or not"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
},
"security": [
{
"HTTPBearer": []
}
],
"x-openai-isConsequential": true
}
}
},
"components": {
"securitySchemes": {
"HTTPBearer": {
"type": "http",
"scheme": "bearer"
}
},
"schemas": {
"HTTPValidationError": {
"properties": {
"errors": {
"items": {
"$ref": "#/components/schemas/ValidationError"
},
"type": "array",
"title": "Errors"
}
},
"type": "object",
"title": "HTTPValidationError"
},
"ValidationError": {
"properties": {
"loc": {
"items": {
"anyOf": [
{
"type": "string"
},
{
"type": "integer"
}
]
},
"type": "array",
"title": "Location"
},
"msg": {
"type": "string",
"title": "Message"
},
"type": {
"type": "string",
"title": "Error Type"
}
},
"type": "object",
"required": [
"loc",
"msg",
"type"
],
"title": "ValidationError"
}
}
}
}

File diff suppressed because it is too large Load Diff

View File

@@ -1,25 +0,0 @@
"""Test common functions."""
import json
import unittest
from pathlib import Path
from langchain_robocorp._common import reduce_openapi_spec
from ._fixtures import openapi_endpoint_doc_mock
class TestReduceOpenAPISpec(unittest.TestCase):
maxDiff = None
def test_reduce_openapi_spec(self) -> None:
with Path(__file__).with_name("_openapi.fixture.json").open("r") as file:
original = json.load(file)
output = reduce_openapi_spec("https://foo.bar", original)
self.assertEqual(output.servers, [{"url": "https://foo.bar"}])
self.assertEqual(output.description, "Robocorp Actions Server")
self.assertEqual(len(output.endpoints), 8)
self.assertEqual(output.endpoints[0][1], openapi_endpoint_doc_mock)

View File

@@ -1,9 +0,0 @@
from langchain_robocorp import __all__
EXPECTED_ALL = [
"ActionServerToolkit",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)

View File

@@ -1,187 +0,0 @@
"""Test toolkit integration."""
import json
from pathlib import Path
from unittest.mock import MagicMock, patch
from langchain_core.utils.function_calling import (
convert_to_openai_function,
convert_to_openai_tool,
)
from langchain_robocorp.toolkits import ActionServerToolkit
from ._fixtures import FakeChatLLMT
def test_initialization() -> None:
"""Test toolkit initialization."""
ActionServerToolkit(url="http://localhost", llm=FakeChatLLMT()) # type: ignore[call-arg]
def test_get_tools_success() -> None:
# Setup
toolkit_instance = ActionServerToolkit(
url="http://example.com", api_key="dummy_key"
)
fixture_path = Path(__file__).with_name("_openapi2.fixture.json")
with patch(
"langchain_robocorp.toolkits.requests.get"
) as mocked_get, fixture_path.open("r") as f:
data = json.load(f) # Using json.load directly on the file object
mocked_response = MagicMock()
mocked_response.json.return_value = data
mocked_response.status_code = 200
mocked_response.headers = {"Content-Type": "application/json"}
mocked_get.return_value = mocked_response
# Execute
tools = toolkit_instance.get_tools()
# Verify
assert len(tools) == 5
tool = tools[2]
assert tool.name == "add_sheet_rows"
assert tool.description == (
"Action to add multiple rows to the Google sheet. "
"Get the sheets with get_google_spreadsheet_schema if you don't know"
"\nthe names or data structure. Make sure the values are in correct"
""" columns (needs to be ordered the same as in the sample).
Strictly adhere to the schema."""
)
openai_func_spec = convert_to_openai_function(tool)
assert isinstance(
openai_func_spec, dict
), "openai_func_spec should be a dictionary."
assert set(openai_func_spec.keys()) == {
"description",
"name",
"parameters",
}, "Top-level keys mismatch."
assert openai_func_spec["description"] == tool.description
assert openai_func_spec["name"] == tool.name
assert isinstance(
openai_func_spec["parameters"], dict
), "Parameters should be a dictionary."
params = openai_func_spec["parameters"]
assert set(params.keys()) == {
"type",
"properties",
"required",
}, "Parameters keys mismatch."
assert params["type"] == "object", "`type` in parameters should be 'object'."
assert isinstance(
params["properties"], dict
), "`properties` should be a dictionary."
assert isinstance(params["required"], list), "`required` should be a list."
assert set(params["required"]) == {
"sheet",
"rows_to_add",
}, "Required fields mismatch."
assert set(params["properties"].keys()) == {"sheet", "rows_to_add"}
desc = "The columns that make up the row"
expected = {
"description": "the rows to be added to the sheet",
"allOf": [
{
"title": "Rows To Add",
"type": "object",
"properties": {
"rows": {
"title": "Rows",
"description": "The rows that need to be added",
"type": "array",
"items": {
"title": "Row",
"type": "object",
"properties": {
"columns": {
"title": "Columns",
"description": desc,
"type": "array",
"items": {"type": "string"},
}
},
"required": ["columns"],
},
}
},
"required": ["rows"],
}
],
}
assert params["properties"]["rows_to_add"] == expected
def test_get_tools_with_complex_inputs() -> None:
toolkit_instance = ActionServerToolkit(
url="http://example.com", api_key="dummy_key"
)
fixture_path = Path(__file__).with_name("_openapi3.fixture.json")
with patch(
"langchain_robocorp.toolkits.requests.get"
) as mocked_get, fixture_path.open("r") as f:
data = json.load(f) # Using json.load directly on the file object
mocked_response = MagicMock()
mocked_response.json.return_value = data
mocked_response.status_code = 200
mocked_response.headers = {"Content-Type": "application/json"}
mocked_get.return_value = mocked_response
# Execute
tools = toolkit_instance.get_tools()
assert len(tools) == 4
tool = tools[0]
assert tool.name == "create_event"
assert tool.description == "Creates a new event in the specified calendar."
all_tools_as_openai_tools = [convert_to_openai_tool(t) for t in tools]
openai_tool_spec = all_tools_as_openai_tools[0]["function"]
assert isinstance(
openai_tool_spec, dict
), "openai_func_spec should be a dictionary."
assert set(openai_tool_spec.keys()) == {
"description",
"name",
"parameters",
}, "Top-level keys mismatch."
assert openai_tool_spec["description"] == tool.description
assert openai_tool_spec["name"] == tool.name
assert isinstance(
openai_tool_spec["parameters"], dict
), "Parameters should be a dictionary."
params = openai_tool_spec["parameters"]
assert set(params.keys()) == {
"type",
"properties",
"required",
}, "Parameters keys mismatch."
assert params["type"] == "object", "`type` in parameters should be 'object'."
assert isinstance(
params["properties"], dict
), "`properties` should be a dictionary."
assert isinstance(params["required"], list), "`required` should be a list."
assert set(params["required"]) == {
"event",
}, "Required fields mismatch."
assert set(params["properties"].keys()) == {"calendar_id", "event"}

View File

@@ -1304,7 +1304,7 @@ files = [
[[package]]
name = "langchain-core"
version = "0.3.0.dev1"
version = "0.3.0"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.9,<4.0"
@@ -1313,9 +1313,12 @@ develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.75"
langsmith = "^0.1.117"
packaging = ">=23.2,<25"
pydantic = "^2.7.4"
pydantic = [
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = "^8.1.0,!=8.4.0"
typing-extensions = ">=4.7"
@@ -1344,13 +1347,13 @@ test = ["pytest", "pytest-cov"]
[[package]]
name = "langsmith"
version = "0.1.115"
version = "0.1.120"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.115-py3-none-any.whl", hash = "sha256:04e35cfd4c2d4ff1ea10bb577ff43957b05ebb3d9eb4e06e200701f4a2b4ac9f"},
{file = "langsmith-0.1.115.tar.gz", hash = "sha256:3b775377d858d32354f3ee0dd1ed637068cfe9a1f13e7b3bfa82db1615cdffc9"},
{file = "langsmith-0.1.120-py3-none-any.whl", hash = "sha256:54d2785e301646c0988e0a69ebe4d976488c87b41928b358cb153b6ddd8db62b"},
{file = "langsmith-0.1.120.tar.gz", hash = "sha256:25499ca187b41bd89d784b272b97a8d76f60e0e21bdf20336e8a2aa6a9b23ac9"},
]
[package.dependencies]
@@ -3827,4 +3830,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<4.0"
content-hash = "2222f912185fe1f1df9e0fc05f9a59659999ef88f71bf0c27f5a11eb04ce1bbe"
content-hash = "e68f3e7fd161d5982616fa33a1cfcdd79ee0ade42ab0012ba4402f3ad2256621"

View File

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-text-splitters"
version = "0.3.0.dev1"
version = "0.3.0"
description = "LangChain text splitting utilities"
authors = []
license = "MIT"
@@ -23,7 +23,7 @@ ignore_missing_imports = "True"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
langchain-core = { version = "^0.3.0.dev1", allow-prereleases = true }
langchain-core = "^0.3.0"
[tool.ruff.lint]
select = [ "E", "F", "I", "T201",]