Commit Graph

13 Commits

Author SHA1 Message Date
Bagatur
1678d6ca17
langchain[patch], experimental[patch], docs: update tools imports (#15433) 2024-01-02 18:23:34 -05:00
Bagatur
480626dc99
docs, community[patch], experimental[patch], langchain[patch], cli[pa… (#15412)
…tch]: import models from community

ran
```bash
git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g"
git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g"
git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g"
git checkout master libs/langchain/tests/unit_tests/llms
git checkout master libs/langchain/tests/unit_tests/chat_models
git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py
make format
cd libs/langchain; make format
cd ../experimental; make format
cd ../core; make format
```
2024-01-02 15:32:16 -05:00
Bagatur
8e0d5813c2
langchain[patch], experimental[patch]: replace langchain.schema imports (#15410)
Import from core instead.

Ran:
```bash
git grep -l 'from langchain.schema\.output_parser' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.output_parser/from\ langchain_core.output_parsers/g"
git grep -l 'from langchain.schema\.messages' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.messages/from\ langchain_core.messages/g"
git grep -l 'from langchain.schema\.document' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.document/from\ langchain_core.documents/g"
git grep -l 'from langchain.schema\.runnable' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.runnable/from\ langchain_core.runnables/g"
git grep -l 'from langchain.schema\.vectorstore' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.vectorstore/from\ langchain_core.vectorstores/g"
git grep -l 'from langchain.schema\.language_model' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.language_model/from\ langchain_core.language_models/g"
git grep -l 'from langchain.schema\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.embeddings/from\ langchain_core.embeddings/g"
git grep -l 'from langchain.schema\.storage' | xargs -L 1 sed -i '' "s/from\ langchain\.schema\.storage/from\ langchain_core.stores/g"
git checkout master libs/langchain/tests/unit_tests/schema/
make format
cd libs/experimental
make format
cd ../langchain
make format
```
2024-01-02 15:09:45 -05:00
Abdul
82102c99b3
langchain[patch]: Running SQLDatabaseChain adds prefix "SQLQuery:\n" (#14058)
- **Issue:** https://github.com/langchain-ai/langchain/issues/12077

---------

Co-authored-by: Abdul Kader Maliyakkal <maliyakk@amazon.com>
2023-12-01 19:26:16 -08:00
Qihui Xie
57ade13b2b
fix llm_inputs duplication problem in intermediate_steps in SQLDatabaseChain (#10279)
Use `.copy()` to fix the bug that the first `llm_inputs` element is
overwritten by the second `llm_inputs` element in `intermediate_steps`.

***Problem description:***
In [line 127](

c732d8fffd/libs/experimental/langchain_experimental/sql/base.py (L127C17-L127C17)),
the `llm_inputs` of the sql generation step is appended as the first
element of `intermediate_steps`:
```
            intermediate_steps.append(llm_inputs)  # input: sql generation
```

However, `llm_inputs` is a mutable dict, it is updated in [line
179](https://github.com/langchain-ai/langchain/blob/master/libs/experimental/langchain_experimental/sql/base.py#L179)
for the final answer step:
```
                llm_inputs["input"] = input_text
```
Then, the updated `llm_inputs` is appended as another element of
`intermediate_steps` in [line
180](c732d8fffd/libs/experimental/langchain_experimental/sql/base.py (L180)):
```
                intermediate_steps.append(llm_inputs)  # input: final answer
```

As a result, the final `intermediate_steps` returned in [line
189](c732d8fffd/libs/experimental/langchain_experimental/sql/base.py (L189C43-L189C43))
actually contains two same `llm_inputs` elements, i.e., the `llm_inputs`
for the sql generation step overwritten by the one for final answer step
by mistake. Users are not able to get the actual `llm_inputs` for the
sql generation step from `intermediate_steps`

Simply calling `.copy()` when appending `llm_inputs` to
`intermediate_steps` can solve this problem.
2023-10-05 21:32:08 -07:00
Mohammad Mohtashim
3bddd708f7
Add memory to sql chain (#8597)
continuation of PR #8550

@hwchase17 please see and merge. And also close the PR #8550.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
2023-10-03 12:04:39 -07:00
Harrison Chase
5442d2b1fa
Harrison/stop importing from init (#10690) 2023-09-16 17:22:48 -07:00
Hedeer El Showk
9749f8ebae
database -> db in from_llm (#10667)
**Description:** Renamed argument `database` in
`SQLDatabaseSequentialChain.from_llm()` to `db`,

I realize it's tiny and a bit of a nitpick but for consistency with
SQLDatabaseChain (and all the others actually) I thought it should be
renamed. Also got me while working and using it today.

✔️ Please make sure your PR is passing linting and
testing before submitting. Run `make format`, `make lint` and `make
test` to check this locally.
2023-09-16 14:26:58 -07:00
Predrag Gruevski
eb3d1fa93c
Add security warning to experimental SQLDatabaseChain class. (#9867)
The most reliable way to not have a chain run an undesirable SQL command
is to not give it database permissions to run that command. That way the
database itself performs the rule enforcement, so it's much easier to
configure and use properly than anything we could add in ourselves.
2023-08-28 13:53:27 -04:00
Nuno Campos
c0d67420e5
Use a submodule for pydantic v1 compat (#9371)
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2023-08-17 16:35:49 +01:00
Eugene Yurtsev
2673b3a314
Create pydantic v1 namespace in langchain (#9254)
Create pydantic v1 namespace in langchain experimental
2023-08-16 21:19:31 -07:00
Harrison Chase
1b0bfa54cf cr 2023-07-27 22:00:52 -07:00
Harrison Chase
aa0e69bc98
Harrison/official pre release (#8106) 2023-07-21 18:44:32 -07:00