- **Description:** The vectorstore standard-test mistakenly assumes that
the store's `get_by_ids` respects the order of the provided `ids`. This
is not the case (as the base class docstring states). This PR fixes
those tests that would fail otherwise (see issue #32820 for details,
repro and all). Fixes#32820
- **Issue:** Fixes#32820
- **Dependencies:** none
Co-authored-by: Stefano Lottini <stefano.lottini@ibm.com>
## Summary
This PR standardizes all text file I/O to use `UTF-8`. This eliminates
OS-specific defaults (e.g. Windows `cp1252`) and ensures consistent,
Unicode-safe behavior across platforms.
## Breaking changes
Users on systems with a default encoding which is not utf-8 may see
decoding errors from the following code paths:
* langchain_core.vectorstores.in_memroy.InMemoryVectorStore.load
* langchain_core.prompts.loading.load_prompt
* `from_template` in AIMessagePromptTemplate,
HumanMessagePromptTemplate, SystemMessagePromptTemplate
## Migration
Change the encoding of files that are encoded with a non utf-8 encoding to utf-8.
## Overview
Adding new `AgentMiddleware` primitive that supports `before_model`,
`after_model`, and `prepare_model_request` hooks.
This is very exciting! It makes our `create_agent` prebuilt much more
extensible + capable. Still in alpha and subject to change.
This is different than the initial
[implementation](https://github.com/langchain-ai/langgraph/tree/nc/25aug/agent)
in that it:
* Fills in gaps w/ missing features, for ex -- new structured output,
optionality of tools + system prompt, sync and async model requests,
provider builtin tools
* Exposes private state extensions for middleware, enabling things like
model call tracking, etc
* Middleware can register tools
* Uses a `TypedDict` for `AgentState` -- dataclass subclassing is tricky
w/ required values + required decorators
* Addition of `model_settings` to `ModelRequest` so that we can pass
through things to bind (like cache kwargs for anthropic middleware)
## TODOs
### top prio
- [x] add middleware support to existing agent
- [x] top prio middlewares
- [x] summarization node
- [x] HITL
- [x] prompt caching
other ones
- [x] model call limits
- [x] tool calling limits
- [ ] usage (requires output state)
### secondary prio
- [x] improve typing for state updates from middleware (not working
right now w/ simple `AgentUpdate` and `AgentJump`, at least in Python)
- [ ] add support for public state (input / output modifications via
pregel channel mods) -- to be tackled in another PR
- [x] testing!
### docs
See https://github.com/langchain-ai/docs/pull/390
- [x] high level docs about middleware
- [x] summarization node
- [x] HITL
- [x] prompt caching
## open questions
Lots of open questions right now, many of them inlined as comments for
the short term, will catalog some more significant ones here.
---------
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Fixes#32747
SpaCy integration test fixture was trying to use pip to download the
SpaCy language model (`en_core_web_sm`), but uv-managed environments
don't include pip by default. Fail test if not installed as opposed to
downloading.
