Commit Graph

6 Commits

Author SHA1 Message Date
Param Singh
d07885f8b7
community[patch]: standardized sparkllm init args (#21633)
Related to #20085 
@baskaryan 

Thank you for contributing to LangChain!

community:sparkllm[patch]: standardized init args

updated `spark_api_key` so that aliased to `api_key`. Added integration
test for `sparkllm` to test that it continues to set the same underlying
attribute.

updated temperature with Pydantic Field, added to the integration test.

Ran `make format`,`make test`, `make lint`, `make spell_check`
2024-05-20 17:11:36 -07:00
Eugene Yurtsev
25fbe356b4
community[patch]: upgrade to recent version of mypy (#21616)
This PR upgrades community to a recent version of mypy. It inserts type:
ignore on all existing failures.
2024-05-13 14:55:07 -04:00
ccurme
481d3855dc
patch: remove usage of llm, chat model __call__ (#20788)
- `llm(prompt)` -> `llm.invoke(prompt)`
- `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`)
- `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt,
config={"callbacks": callbacks})`
- `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`
2024-04-24 19:39:23 -04:00
Guangdong Liu
4be7ca7b4c
community[patch]:sparkllm standardize init args (#20194)
Related to https://github.com/langchain-ai/langchain/issues/20085
@baskaryan
2024-04-13 16:03:19 -07:00
Erick Friis
3a2eb6e12b
infra: add print rule to ruff (#16221)
Added noqa for existing prints. Can slowly remove / will prevent more
being intro'd
2024-02-09 16:13:30 -08:00
Xudong Sun
019b6ebe8d
community[minor]: Add iFlyTek Spark LLM chat model support (#13389)
- **Description:** This PR enables LangChain to access the iFlyTek's
Spark LLM via the chat_models wrapper.
  - **Dependencies:** websocket-client ^1.6.1
  - **Tag maintainer:** @baskaryan 

### SparkLLM chat model usage

Get SparkLLM's app_id, api_key and api_secret from [iFlyTek SparkLLM API
Console](https://console.xfyun.cn/services/bm3) (for more info, see
[iFlyTek SparkLLM Intro](https://xinghuo.xfyun.cn/sparkapi) ), then set
environment variables `IFLYTEK_SPARK_APP_ID`, `IFLYTEK_SPARK_API_KEY`
and `IFLYTEK_SPARK_API_SECRET` or pass parameters when using it like the
demo below:

```python3
from langchain.chat_models.sparkllm import ChatSparkLLM

client = ChatSparkLLM(
    spark_app_id="<app_id>",
    spark_api_key="<api_key>",
    spark_api_secret="<api_secret>"
)
```
2024-01-23 19:23:46 -08:00