feat: langchain 1.x

AGENTS.md

@@ -46,6 +46,16 @@ Ruff uses `--fix` by default through pre-commit, so it auto-fixes import orderin
 
 ### Testing
 
+**Important**: Before running the full test suite, install all dependency groups:
+
+```bash
+uv sync --all-groups
+```
+
+This ensures all optional dependencies (docs, s2s, semap, etc.) are installed, which is required for collecting and running all tests.
+
+Then run the test suite:
+
 ```bash
 python -m pytest tests/ --timeout=60 -m "not billable and not ci_only and not manual" --ignore=src
 ```
@@ -54,6 +64,35 @@ The `pyproject.toml` already sets these default markers and `--ignore=src`.
 
 **Sound device tests**: Tests under `tests/communication/sounds_device/` require virtual audio input/output devices. In headless environments without audio hardware, these tests will error during collection. Either skip them (`--ignore=tests/communication/sounds_device`) or create virtual PulseAudio/ALSA devices before running.
 
+### Commit conventions
+
+This project follows the [Conventional Commits](https://www.conventionalcommits.org/) specification. Commit messages should be structured as:
+
+```
+<type>[optional scope]: <description>
+
+[optional body]
+
+[optional footer(s)]
+```
+
+**Common types:**
+
+-   `feat`: A new feature
+-   `fix`: A bug fix
+-   `docs`: Documentation only changes
+-   `style`: Changes that don't affect code meaning (formatting, etc.)
+-   `refactor`: Code change that neither fixes a bug nor adds a feature
+-   `perf`: Performance improvements
+-   `test`: Adding or correcting tests
+-   `chore`: Changes to build process or auxiliary tools
+
+**Examples:**
+
+-   `feat(agents): add support for custom tool schemas`
+-   `fix(ros2): handle service call timeouts correctly`
+-   `docs: update testing instructions in AGENTS.md`
+
 ### Key gotchas
 
 -   The `config.toml` in the repo root is the working config file; `rai-config-init` is only for pip-installed users, not developers using the repo.

src/rai_bench/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "rai-bench"
-version = "0.2.0"
+version = "0.3.0"
 description = "Package for running and creating benchmarks."
 readme = "README.md"
 requires-python = ">=3.10"

src/rai_bench/rai_bench/results_processing/langfuse_scores_tracing.py

@@ -17,7 +17,7 @@
 
 from langchain_core.callbacks.base import BaseCallbackHandler
 from langchain_core.tracers.langchain import LangChainTracer
-from langfuse.callback import CallbackHandler
+from langfuse.langchain import CallbackHandler
 from rai.initialization import get_tracing_callbacks
 
 

src/rai_bench/rai_bench/utils.py

@@ -18,7 +18,7 @@
 from pathlib import Path
 from typing import Any
 
-from langchain.chat_models.base import BaseChatModel
+from langchain_core.language_models.chat_models import BaseChatModel
 from rai.initialization import get_llm_model_direct
 
 

src/rai_core/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "rai_core"
-version = "2.11.2"
+version = "2.12.0"
 description = "Core functionality for RAI framework"
 readme = "README.md"
 requires-python = ">=3.10,<3.13"
@@ -15,13 +15,13 @@ classifiers = [
     "License :: OSI Approved :: Apache Software License",
 ]
 dependencies = [
-    "langchain-core>=0.3,<0.4",
-    "langgraph",
+    "langchain-core>=1.2.10,<2.0.0",
+    "langgraph>=1.1.5,<2.0.0",
     "langgraph-prebuilt",
-    "langchain",
+    "langchain>=1.0.0,<2.0.0",
     "langchain-aws",
     "langchain-openai",
-    "langchain-ollama>=0.3.4,<0.4.0",
+    "langchain-ollama",
     "langchain-google-genai",
     "langchain-community",
     "requests>=2.32.2,<3.0.0",
@@ -35,7 +35,7 @@ dependencies = [
     "lark>=1.1.9,<2.0.0",
     "transforms3d>=0.4.1,<0.5.0",
     "pillow>=11.0.0,<12.0.0",
-    "langfuse>=2.60.2,<3.0.0",
+    "langfuse>=3.8.0,<4.0.0",
     "pydub>=0.25.1,<0.26.0",
     "streamlit>=1.44,<2.0.0",
     "numpy<2.0",

src/rai_core/rai/agents/langchain/core/conversational_agent.py

@@ -18,7 +18,7 @@
 from typing import List, Optional, TypedDict
 
 from deprecated import deprecated
-from langchain.chat_models.base import BaseChatModel
+from langchain_core.language_models.chat_models import BaseChatModel
 from langchain_core.messages import (
     BaseMessage,
     SystemMessage,

src/rai_core/rai/agents/langchain/core/megamind.py

@@ -22,7 +22,7 @@
     Optional,
 )
 
-from langchain.chat_models.base import BaseChatModel
+from langchain_core.language_models.chat_models import BaseChatModel
 from langchain_core.messages import (
     BaseMessage,
     HumanMessage,

src/rai_core/rai/agents/langchain/core/plan_agent.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 from typing import Any, Dict, List, Optional, Tuple, Union
 
-from langchain.chat_models.base import BaseChatModel
+from langchain_core.language_models.chat_models import BaseChatModel
 from langchain_core.messages import BaseMessage, SystemMessage
 from langchain_core.tools import BaseTool
 from langgraph.graph import END, START, StateGraph

src/rai_core/rai/agents/langchain/core/structured_output_agent.py

@@ -17,7 +17,7 @@
 from functools import partial
 from typing import Optional
 
-from langchain.chat_models.base import BaseChatModel
+from langchain_core.language_models.chat_models import BaseChatModel
 from langchain_core.messages import (
     SystemMessage,
 )

src/rai_core/rai/aggregators/ros2/aggregators.py

@@ -14,7 +14,7 @@
 
 from typing import Any, List, cast
 
-from langchain.chat_models.base import BaseChatModel
+from langchain_core.language_models.chat_models import BaseChatModel
 from langchain_core.messages import HumanMessage, SystemMessage
 from pydantic import BaseModel, Field
 from rcl_interfaces.msg import Log

src/rai_core/rai/initialization/model_initialization.py

@@ -367,18 +367,24 @@ def get_tracing_callbacks(
 
     callbacks: List[BaseCallbackHandler] = []
     if config.tracing.langfuse.use_langfuse:
-        from langfuse.callback import CallbackHandler  # type: ignore
+        from langfuse import Langfuse
+        from langfuse.langchain import CallbackHandler  # type: ignore
 
         public_key = os.getenv("LANGFUSE_PUBLIC_KEY", None)
         secret_key = os.getenv("LANGFUSE_SECRET_KEY", None)
         if public_key is None or secret_key is None:
             raise ValueError("LANGFUSE_PUBLIC_KEY or LANGFUSE_SECRET_KEY is not set")
 
-        callback = CallbackHandler(
+        # Initialize Langfuse singleton client with credentials
+        # This configures the global client that CallbackHandler will use
+        Langfuse(
             public_key=public_key,
             secret_key=secret_key,
             host=config.tracing.langfuse.host,
         )
+
+        # Create callback handler (uses the configured singleton client)
+        callback = CallbackHandler()
         callbacks.append(callback)
 
     if config.tracing.langsmith.use_langsmith:

src/rai_whoami/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "rai_whoami"
-version = "0.0.5"
+version = "0.1.0"
 description = "Package to extract embodiment information from robot documentation"
 readme = "README.md"
 requires-python = ">=3.10,<3.13"
@@ -12,7 +12,8 @@ classifiers = [
 ]
 dependencies = [
     "PyYAML",
-    "langchain",
+    "langchain>=1.0.0,<2.0.0",
+    "langchain-community",
     "PyPDF2",
     "Pillow",
     "faiss-cpu",