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15 Commits

Author SHA1 Message Date
ccurme
b83f1eb0d5
core, partners: implement standard tracing params for LLMs (#25410) 2024-08-16 13:18:09 -04:00
Eugene Yurtsev
831708beb7
together[patch]: Update @root_validator for pydantic 2 compatibility (#25423) 
This PR updates usage of @root_validator to be compatible with pydantic 2.
 2024-08-15 11:27:42 -04:00
Eugene Yurtsev
03d62a737a
together: Add rate limiter to integration tests (#24714) 
Rate limit the integration tests to avoid getting 429s.
 2024-07-26 10:59:33 -04:00
Erick Friis
1e9cc02ed8
openai: raw response headers (#24150) 2024-07-16 09:54:54 -07:00
ccurme
cb95198398
standard-tests[patch]: add tests for runnables as tools and streaming usage metadata (#24153) 2024-07-11 18:30:05 -04:00
ccurme
74c7198906
core, anthropic[patch]: support streaming tool calls when function has no arguments (#23915) 
resolves https://github.com/langchain-ai/langchain/issues/23911

When an AIMessageChunk is instantiated, we attempt to parse tool calls
off of the tool_call_chunks.

Here we add a special-case to this parsing, where `""` will be parsed as
`{}`.

This is a reaction to how Anthropic streams tool calls in the case where
a function has no arguments:
```
{'id': 'toolu_01J8CgKcuUVrMqfTQWPYh64r', 'input': {}, 'name': 'magic_function', 'type': 'tool_use', 'index': 1}
{'partial_json': '', 'type': 'tool_use', 'index': 1}
```
The `partial_json` does not accumulate to a valid json string-- most
other providers tend to emit `"{}"` in this case.
 2024-07-05 18:57:41 +00:00
Bagatur
a0c2281540
infra: update mypy 1.10, ruff 0.5 (#23721) 
```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path

import toml
import subprocess
import re

ROOT_DIR = Path(__file__).parents[1]


def main():
    for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
        print(path)
        with open(path, "rb") as f:
            pyproject = tomllib.load(f)
        try:
            pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
                "^1.10"
            )
            pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
                "^0.5"
            )
        except KeyError:
            continue
        with open(path, "w") as f:
            toml.dump(pyproject, f)
        cwd = "/".join(path.split("/")[:-1])
        completed = subprocess.run(
            "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )
        logs = completed.stdout.split("\n")

        to_ignore = {}
        for l in logs:
            if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
                path, line_no, error_type = re.match(
                    "^(.*)\:(\d+)\: error:.*\[(.*)\]", l
                ).groups()
                if (path, line_no) in to_ignore:
                    to_ignore[(path, line_no)].append(error_type)
                else:
                    to_ignore[(path, line_no)] = [error_type]
        print(len(to_ignore))
        for (error_path, line_no), error_types in to_ignore.items():
            all_errors = ", ".join(error_types)
            full_path = f"{cwd}/{error_path}"
            try:
                with open(full_path, "r") as f:
                    file_lines = f.readlines()
            except FileNotFoundError:
                continue
            file_lines[int(line_no) - 1] = (
                file_lines[int(line_no) - 1][:-1] + f"  # type: ignore[{all_errors}]\n"
            )
            with open(full_path, "w") as f:
                f.write("".join(file_lines))

        subprocess.run(
            "poetry run ruff format .; poetry run ruff --select I --fix .",
            cwd=cwd,
            shell=True,
            capture_output=True,
            text=True,
        )


if __name__ == "__main__":
    main()

```
 2024-07-03 10:33:27 -07:00
Bagatur
d96f67b06f
standard-tests[patch]: Update chat model standard tests (#22378) 
- Refactor standard test classes to make them easier to configure
- Update openai to support stop_sequences init param
- Update groq to support stop_sequences init param
- Update fireworks to support max_retries init param
- Update ChatModel.bind_tools to type tool_choice
- Update groq to handle tool_choice="any". **this may be controversial**

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
 2024-06-17 13:37:41 -07:00
Bagatur
50186da0a1
infra: rm unused # noqa violations (#22049) 
Updating #21137
 2024-05-22 15:21:08 -07:00
ccurme
181dfef118
core, standard tests, partner packages: add test for model params (#21677) 
1. Adds `.get_ls_params` to BaseChatModel which returns
```python
class LangSmithParams(TypedDict, total=False):
    ls_provider: str
    ls_model_name: str
    ls_model_type: Literal["chat"]
    ls_temperature: Optional[float]
    ls_max_tokens: Optional[int]
    ls_stop: Optional[List[str]]
```
by default it will only return
```python
{ls_model_type="chat", ls_stop=stop}
```

2. Add these params to inheritable metadata in
`CallbackManager.configure`

3. Implement `.get_ls_params` and populate all params for Anthropic +
all subclasses of BaseChatOpenAI

Sample trace:
https://smith.langchain.com/public/d2962673-4c83-47c7-b51e-61d07aaffb1b/r

**OpenAI**:
<img width="984" alt="Screenshot 2024-05-17 at 10 03 35 AM"
src="https://github.com/langchain-ai/langchain/assets/26529506/2ef41f74-a9df-4e0e-905d-da74fa82a910">

**Anthropic**:
<img width="978" alt="Screenshot 2024-05-17 at 10 06 07 AM"
src="https://github.com/langchain-ai/langchain/assets/26529506/39701c9f-7da5-4f1a-ab14-84e9169d63e7">

**Mistral** (and all others for which params are not yet populated):
<img width="977" alt="Screenshot 2024-05-17 at 10 08 43 AM"
src="https://github.com/langchain-ai/langchain/assets/26529506/37d7d894-fec2-4300-986f-49a5f0191b03">
 2024-05-17 13:51:26 -04:00
Erick Friis
bb81ae5c8c
together: fix chat model and embedding classes (#21353) 2024-05-06 18:26:03 -07:00
Hassan El Mghari
d6ef5fe86a
together: add chat models, use openai base (#21337) 
**Description:** Adding chat completions to the Together AI package,
which is our most popular API. Also staying backwards compatible with
the old API so folks can continue to use the completions API as well.
Also moved the embedding API to use the OpenAI library to standardize it
further.

**Twitter handle:** @nutlope

- [x] **Add tests and docs**: If you're adding a new integration, please
include
- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
 2024-05-06 17:47:06 -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
Erick Friis
38523d7c57
together[minor]: add llm (#15853) 2024-01-10 17:55:34 -08:00
Erick Friis
795cf2ddda
together: package and embedding model (#14936) 2023-12-19 18:48:32 -08:00