From b578f4897fe0c5acee3e8d8b640d313baf3b33aa Mon Sep 17 00:00:00 2001
From: ajspig <46900795+ajspig@users.noreply.github.com>
Date: Thu, 29 Jan 2026 17:10:33 -0500
Subject: [PATCH] Updating Docs & Packages with 3.0.0 SDK (#356)

* chore: (docs) Reconcile new SDK conventions in docs

* chore: updating docs references to SDK.

* chore: final edits to docs and packages for SDK and API updates

* chore: (docs) fix typescript context() options method

---------

Co-authored-by: Vineeth Voruganti <13438633+VVoruganti@users.noreply.github.com>
---
 docs/SKILL.md                                 |    8 +-
 .../advanced/representation-scopes.mdx        |   10 +-
 docs/v3/documentation/features/chat.mdx       |    4 +-
 docs/v3/documentation/reference/sdk.mdx       |   12 +-
 docs/v3/guides/integrations/n8n.mdx           |   14 +-
 examples/crewai/python/pyproject.toml         |    4 +-
 .../python/src/honcho_crewai/__init__.py      |    2 +-
 .../crewai/python/src/honcho_crewai/tools.py  |    6 +-
 examples/crewai/python/uv.lock                | 2681 ++++++++---------
 examples/langgraph/python/pyproject.toml      |    2 +-
 examples/langgraph/python/uv.lock             |  331 +-
 examples/langgraph/typescript/bun.lock        |  116 +-
 examples/langgraph/typescript/package.json    |    2 +-
 examples/n8n/n8n.json                         |    8 +-
 14 files changed, 1513 insertions(+), 1687 deletions(-)

diff --git a/docs/SKILL.md b/docs/SKILL.md
index 3e828d6a..b1ce95f7 100644
--- a/docs/SKILL.md
+++ b/docs/SKILL.md
@@ -50,7 +50,7 @@ Ask how they want to use Honcho context:
 - options:
   - "Tool call (Recommended)" - "Agent queries Honcho on-demand via function calling"
   - "Pre-fetch" - "Fetch user context before each LLM call with predefined queries"
-  - "get_context()" - "Include conversation history and representations in prompt"
+  - "context()" - "Include conversation history and representations in prompt"
   - "Multiple patterns" - "Combine approaches for different use cases"
 
 #### Question Set 3 - Session Structure
@@ -371,7 +371,7 @@ async function getUserContextForPrompt(userId: string): Promise<Record<string, s
 
 ### Pattern C: Get Context for LLM Integration
 
-Use `get_context()` for conversation history with built-in LLM formatting.
+Use `context()` for conversation history with built-in LLM formatting.
 
 **Python:**
 
@@ -383,7 +383,7 @@ user = honcho.peer("user-123")
 assistant = honcho.peer("assistant", config={"observe_me": False})
 
 # Get context formatted for your LLM
-context = session.get_context(
+context = session.context(
     tokens=2000,
     peer_target=user.id,  # Include representation of this user
     summary=True           # Include conversation summaries
@@ -434,7 +434,7 @@ When integrating Honcho into an existing codebase:
 - [ ] Choose integration pattern:
   - [ ] Tool call pattern for agentic systems
   - [ ] Pre-fetch pattern for simpler integrations
-  - [ ] get_context() for conversation history
+  - [ ] context() for conversation history
 - [ ] Store messages after each exchange to build user models
 
 ## Common Mistakes to Avoid
diff --git a/docs/v3/documentation/features/advanced/representation-scopes.mdx b/docs/v3/documentation/features/advanced/representation-scopes.mdx
index 18dccef2..f7ae03db 100644
--- a/docs/v3/documentation/features/advanced/representation-scopes.mdx
+++ b/docs/v3/documentation/features/advanced/representation-scopes.mdx
@@ -72,9 +72,9 @@ The `target` parameter controls which representation you retrieve:
 
 | Query | Returns |
 |-------|---------|
-| `get_representation("alice")` | Conclusions from Honcho's representation of Alice (across all sessions) |
-| `get_representation("alice", target="bob")` | Conclusions from Alice's representation of Bob (from sessions Alice participated in) |
-| `get_representation("alice", target="charlie")` | Conclusions from Alice's representation of Charlie (from sessions Alice participated in) |
+| `representation("alice")` | Conclusions from Honcho's representation of Alice (across all sessions) |
+| `representation("alice", target="bob")` | Conclusions from Alice's representation of Bob (from sessions Alice participated in) |
+| `representation("alice", target="charlie")` | Conclusions from Alice's representation of Charlie (from sessions Alice participated in) |
 
 ### Code Examples
 
@@ -104,7 +104,7 @@ session.add_messages([
 # Different sessions with different participants
 session2 = honcho.session("game-session-2")
 session2.add_peers([alice, charlie])
-session2.set_peer_config(alice, SessionPeerConfig(observe_others=True))
+session2.set_peer_configuration(alice, SessionPeerConfig(observe_others=True))
 
 session2.add_messages([
     charlie.message("I didn't have breakfast. I lied to Bob.")
@@ -137,7 +137,7 @@ await session.addMessages([
 
 const session2 = await honcho.session("game-session-2");
 await session2.addPeers([alice, charlie]);
-await session2.setPeerConfig(alice, { observeOthers: true });
+await session2.setPeerConfiguration(alice, { observeOthers: true });
 
 await session2.addMessages([
     charlie.message("I didn't have breakfast. I lied to Bob.")
diff --git a/docs/v3/documentation/features/chat.mdx b/docs/v3/documentation/features/chat.mdx
index 56dad4ab..0e380580 100644
--- a/docs/v3/documentation/features/chat.mdx
+++ b/docs/v3/documentation/features/chat.mdx
@@ -185,7 +185,7 @@ The chat endpoint shines when your LLM decides what it needs to know. This creat
 ### Use for runtime decisions
 Don't just use chat for LLM prompts - use it to drive application logic, routing, and feature flags based on user behavior.
 
-### Combine with get_context()
-Use `get_context()` for conversation context and `peer.chat()` for specific insights. They complement each other.
+### Combine with context()
+Use `context()` for conversation context and `peer.chat()` for specific insights. They complement each other.
 
 For more ideas on using the chat endpoint, see our [guides](/v3/guides/overview).
diff --git a/docs/v3/documentation/reference/sdk.mdx b/docs/v3/documentation/reference/sdk.mdx
index b2c0b54f..d65b983e 100644
--- a/docs/v3/documentation/reference/sdk.mdx
+++ b/docs/v3/documentation/reference/sdk.mdx
@@ -612,13 +612,15 @@ const context = await session.context({ summary: true, tokens: 2000 });
 const richContext = await session.context({
   tokens: 2000,
   peerTarget: "user",
-  peerPerspective: "assistant",
   searchQuery: "What are my preferences?",
+  peerPerspective: "assistant",
   limitToSession: true,
-  searchTopK: 10,
-  searchMaxDistance: 0.8,
-  includeMostFrequent: true,
-  maxConclusions: 25
+  representationOptions: {
+    searchTopK: 10,
+    searchMaxDistance: 0.8,
+    includeMostFrequent: true,
+    maxConclusions: 25
+  }
 });
 
 // Search session content
diff --git a/docs/v3/guides/integrations/n8n.mdx b/docs/v3/guides/integrations/n8n.mdx
index 3a8ccb42..12deaea1 100644
--- a/docs/v3/guides/integrations/n8n.mdx
+++ b/docs/v3/guides/integrations/n8n.mdx
@@ -60,7 +60,7 @@ The workflow has two parts (separated by sticky notes in the canvas):
 
 2. **AI Chat Interface**: Chat Trigger → Agent (with LLM and Honcho tools)
 
-The Agent uses Honcho's `get_context()` endpoint to retrieve relevant information about email conversations, enabling contextual conversations about your email data.
+The Agent uses Honcho's `context()` endpoint to retrieve relevant information about email conversations, enabling contextual conversations about your email data.
 
 ![Complete workflow overview showing both data ingestion and chat sections](/images/integrations/n8n/complete_workflow.png)
 
@@ -179,7 +179,7 @@ Add a **When chat message received** node (from LangChain nodes) to create an in
 ```
 You are a helpful assistant that retrieves context about email conversations.
 
-Use the Get_Context tool to retrieve session context.
+Use the Context tool to retrieve session context.
 
 Today's date: {{ $now }}
 ```
@@ -192,7 +192,7 @@ Add an **OpenAI Chat Model** node (or your preferred LLM) and connect it to the
 
 Create an HTTP Request Tool node for Honcho's context retrieval:
 
-**Get Context Tool:**
+**Context Tool:**
 - **Method**: `GET`
 - **URL**: `https://api.honcho.dev/v3/workspaces/email-test/sessions/new_session/context`
 - Returns formatted context for the entire session including all messages and peer interactions
@@ -229,7 +229,7 @@ Want to skip the manual setup? Import this workflow directly into n8n. In n8n, g
     },
     {
       "parameters": {
-        "content": "## AI Chat With Honcho get_context()\nQuery your email data using natural language.\n\n**Run after data ingestion** to chat with the agent.",
+        "content": "## AI Chat With Honcho context()\nQuery your email data using natural language.\n\n**Run after data ingestion** to chat with the agent.",
         "height": 480,
         "width": 752
       },
@@ -265,7 +265,7 @@ Want to skip the manual setup? Import this workflow directly into n8n. In n8n, g
     {
       "parameters": {
         "options": {
-          "systemMessage": "You are a helpful assistant that retrieves context about email conversations.\n\nUse the Get_Context tool to retrieve session context.\n\nToday's date: {{ $now }}"
+          "systemMessage": "You are a helpful assistant that retrieves context about email conversations.\n\nUse the Context tool to retrieve session context.\n\nToday's date: {{ $now }}"
         }
       },
       "id": "049c3c19-756c-4755-88d9-94312857d9bb",
@@ -550,7 +550,7 @@ Want to skip the manual setup? Import this workflow directly into n8n. In n8n, g
         784
       ],
       "id": "095e62d6-aae3-4eb8-9b9c-c473bfe2716d",
-      "name": "Get_Context",
+      "name": "Context",
       "credentials": {
         "httpBearerAuth": {
           "id": "NbrkGo1GdYWQY3OX",
@@ -693,7 +693,7 @@ Want to skip the manual setup? Import this workflow directly into n8n. In n8n, g
         ]
       ]
     },
-    "Get_Context": {
+    "Context": {
       "ai_tool": [
         [
           {
diff --git a/examples/crewai/python/pyproject.toml b/examples/crewai/python/pyproject.toml
index 06e4c6b3..3c8d4c5c 100644
--- a/examples/crewai/python/pyproject.toml
+++ b/examples/crewai/python/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "honcho-crewai"
-version = "0.1.0"
+version = "0.2.0"
 description = "CrewAI integration with Honcho for persistent agent memory"
 readme = "README.md"
 requires-python = ">=3.10"
@@ -34,7 +34,7 @@ classifiers = [
 ]
 dependencies = [
     "crewai>=0.134.0",
-    "honcho-ai>=0.2.0",
+    "honcho-ai>=2.0.0",
     "openai>=1.0.0",
     "python-dotenv>=1.0.0",
 ]
diff --git a/examples/crewai/python/src/honcho_crewai/__init__.py b/examples/crewai/python/src/honcho_crewai/__init__.py
index 54227270..fadc68ac 100644
--- a/examples/crewai/python/src/honcho_crewai/__init__.py
+++ b/examples/crewai/python/src/honcho_crewai/__init__.py
@@ -53,7 +53,7 @@ from honcho_crewai.tools import (
     HonchoSearchTool,
 )
 
-__version__ = "0.1.0"
+__version__ = "0.2.0"
 __all__ = [
     "HonchoDependencyError",
     "HonchoDialecticTool",
diff --git a/examples/crewai/python/src/honcho_crewai/tools.py b/examples/crewai/python/src/honcho_crewai/tools.py
index 9a5c2835..a9b0a594 100644
--- a/examples/crewai/python/src/honcho_crewai/tools.py
+++ b/examples/crewai/python/src/honcho_crewai/tools.py
@@ -17,7 +17,7 @@ logger = logging.getLogger(__name__)
 
 # Input Schemas
 class GetContextInput(BaseModel):
-    """Input schema for get_context tool."""
+    """Input schema for context tool."""
 
     tokens: Optional[int] = Field(
         default=None, gt=0, description="Maximum number of tokens to include in the context"
@@ -84,7 +84,7 @@ class HonchoGetContextTool(BaseTool):
 
     def __init__(self, honcho: Honcho, session_id: str, peer_id: str) -> None:
         """
-        Initialize the get_context tool.
+        Initialize the context tool.
 
         Args:
             honcho: Honcho client instance
@@ -105,7 +105,7 @@ class HonchoGetContextTool(BaseTool):
         peer_perspective: Optional[str] = None,
     ) -> str:
         """
-        Execute get_context and format results.
+        Execute context retrieval and format results.
 
         Args:
             tokens: Maximum tokens to include
diff --git a/examples/crewai/python/uv.lock b/examples/crewai/python/uv.lock
index 1b227e23..d04d4305 100644
--- a/examples/crewai/python/uv.lock
+++ b/examples/crewai/python/uv.lock
@@ -18,7 +18,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.13.2"
+version = "3.13.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -30,110 +30,110 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/1c/ce/3b83ebba6b3207a7135e5fcaba49706f8a4b6008153b4e30540c982fae26/aiohttp-3.13.2.tar.gz", hash = "sha256:40176a52c186aefef6eb3cad2cdd30cd06e3afbe88fe8ab2af9c0b90f228daca", size = 7837994, upload-time = "2025-10-28T20:59:39.937Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/50/42/32cf8e7704ceb4481406eb87161349abb46a57fee3f008ba9cb610968646/aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88", size = 7844556, upload-time = "2026-01-03T17:33:05.204Z" }
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 [[package]]
diff --git a/examples/langgraph/python/pyproject.toml b/examples/langgraph/python/pyproject.toml
index 4ab5ee85..6c590d94 100644
--- a/examples/langgraph/python/pyproject.toml
+++ b/examples/langgraph/python/pyproject.toml
@@ -5,7 +5,7 @@ description = "LangGraph integration with Honcho for stateful conversational AI"
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
-    "honcho-ai",
+    "honcho-ai>=2.0.0",
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diff --git a/examples/langgraph/python/uv.lock b/examples/langgraph/python/uv.lock
index be1a1c71..c358347e 100644
--- a/examples/langgraph/python/uv.lock
+++ b/examples/langgraph/python/uv.lock
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+version = "2.0.0"
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diff --git a/examples/langgraph/typescript/bun.lock b/examples/langgraph/typescript/bun.lock
index 6e1da256..32c8c706 100644
--- a/examples/langgraph/typescript/bun.lock
+++ b/examples/langgraph/typescript/bun.lock
@@ -5,7 +5,7 @@
     "": {
       "name": "honcho-langgraph-example",
       "dependencies": {
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+    "@langchain/langgraph": ["@langchain/langgraph@1.1.2", "", { "dependencies": { "@langchain/langgraph-checkpoint": "^1.0.0", "@langchain/langgraph-sdk": "~1.5.5", "@standard-schema/spec": "1.1.0", "uuid": "^10.0.0" }, "peerDependencies": { "@langchain/core": "^1.0.1", "zod": "^3.25.32 || ^4.2.0", "zod-to-json-schema": "^3.x" }, "optionalPeers": ["zod-to-json-schema"] }, "sha512-kpZCttZ0N+jHSl5Vh/zVNElD5SxGR4sTjjLiBC00aLGf9JK+Sa/XXO6Bsk3WWXFtA1dY+4tUzUqH0mAHfN0WvA=="],
 
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+    "@langchain/langgraph-sdk": ["@langchain/langgraph-sdk@1.5.5", "", { "dependencies": { "p-queue": "^9.0.1", "p-retry": "^7.1.1", "uuid": "^13.0.0" }, "peerDependencies": { "@langchain/core": "^1.1.15", "react": "^18 || ^19", "react-dom": "^18 || ^19" }, "optionalPeers": ["@langchain/core", "react", "react-dom"] }, "sha512-SyiAs6TVXPWlt/8cI9pj/43nbIvclY3ytKqUFbL5MplCUnItetEyqvH87EncxyVF5D7iJKRZRfSVYBMmOZbjbQ=="],
 
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     "ansi-styles": ["ansi-styles@5.2.0", "", {}, "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA=="],
 
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     "base64-js": ["base64-js@1.5.1", "", {}, "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA=="],
 
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     "camelcase": ["camelcase@6.3.0", "", {}, "sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA=="],
 
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@@ -60,83 +48,33 @@
 
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+    "openai": ["openai@6.16.0", "", { "peerDependencies": { "ws": "^8.18.0", "zod": "^3.25 || ^4.0" }, "optionalPeers": ["ws", "zod"], "bin": { "openai": "bin/cli" } }, "sha512-fZ1uBqjFUjXzbGc35fFtYKEOxd20kd9fDpFeqWtsOZWiubY8CZ1NAlXHW3iathaFvqmNtCWMIsosCuyeI7Joxg=="],
 
     "p-finally": ["p-finally@1.0.0", "", {}, "sha512-LICb2p9CB7FS+0eR1oqWnHhp0FljGLZCWBE9aix0Uye9W8LTQPwMTYVGWQWIw9RdQiDg4+epXQODwIYJtSJaow=="],
 
-    "p-queue": ["p-queue@6.6.2", "", { "dependencies": { "eventemitter3": "^4.0.4", "p-timeout": "^3.2.0" } }, "sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ=="],
+    "p-queue": ["p-queue@9.1.0", "", { "dependencies": { "eventemitter3": "^5.0.1", "p-timeout": "^7.0.0" } }, "sha512-O/ZPaXuQV29uSLbxWBGGZO1mCQXV2BLIwUr59JUU9SoH76mnYvtms7aafH/isNSNGwuEfP6W/4xD0/TJXxrizw=="],
 
-    "p-retry": ["p-retry@4.6.2", "", { "dependencies": { "@types/retry": "0.12.0", "retry": "^0.13.1" } }, "sha512-312Id396EbJdvRONlngUx0NydfrIQ5lsYu0znKVUzVvArzEIt08V1qhtyESbGVd1FGX7UKtiFp5uwKZdM8wIuQ=="],
+    "p-retry": ["p-retry@7.1.1", "", { "dependencies": { "is-network-error": "^1.1.0" } }, "sha512-J5ApzjyRkkf601HpEeykoiCvzHQjWxPAHhyjFcEUP2SWq0+35NKh8TLhpLw+Dkq5TZBFvUM6UigdE9hIVYTl5w=="],
 
-    "p-timeout": ["p-timeout@3.2.0", "", { "dependencies": { "p-finally": "^1.0.0" } }, "sha512-rhIwUycgwwKcP9yTOOFK/AKsAopjjCakVqLHePO3CC6Mir1Z99xT+R63jZxAT5lFZLa2inS5h+ZS2GvR99/FBg=="],
-
-    "retry": ["retry@0.13.1", "", {}, "sha512-XQBQ3I8W1Cge0Seh+6gjj03LbmRFWuoszgK9ooCpwYIrhhoO80pfq4cUkU5DkknwfOfFteRwlZ56PYOGYyFWdg=="],
+    "p-timeout": ["p-timeout@7.0.1", "", {}, "sha512-AxTM2wDGORHGEkPCt8yqxOTMgpfbEHqF51f/5fJCmwFC3C/zNcGT63SymH2ttOAaiIws2zVg4+izQCjrakcwHg=="],
 
     "semver": ["semver@7.7.3", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-SdsKMrI9TdgjdweUSR9MweHA4EJ8YxHn8DFaDisvhVlUOe4BF1tLD7GAj0lIqWVl+dPb/rExr0Btby5loQm20Q=="],
 
@@ -144,36 +82,32 @@
 
     "supports-color": ["supports-color@7.2.0", "", { "dependencies": { "has-flag": "^4.0.0" } }, "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw=="],
 
-    "tr46": ["tr46@0.0.3", "", {}, "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="],
-
     "typescript": ["typescript@5.9.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw=="],
 
     "undici-types": ["undici-types@6.21.0", "", {}, "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ=="],
 
     "uuid": ["uuid@10.0.0", "", { "bin": { "uuid": "dist/bin/uuid" } }, "sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ=="],
 
-    "web-streams-polyfill": ["web-streams-polyfill@4.0.0-beta.3", "", {}, "sha512-QW95TCTaHmsYfHDybGMwO5IJIM93I/6vTRk+daHTWFPhwh+C8Cg7j7XyKrwrj8Ib6vYXe0ocYNrmzY4xAAN6ug=="],
-
-    "webidl-conversions": ["webidl-conversions@3.0.1", "", {}, "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="],
-
-    "whatwg-url": ["whatwg-url@5.0.0", "", { "dependencies": { "tr46": "~0.0.3", "webidl-conversions": "^3.0.0" } }, "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw=="],
-
     "zod": ["zod@4.0.0", "", {}, "sha512-9diLdTPc/L7w/5jI4C3gHYNiGHDV9IZYxo1e5LSD8cabi65WVTWWb+g2BGPEpUUCOxR4D+6O5B0AzyMdUAXwrw=="],
 
-    "@honcho-ai/core/@types/node": ["@types/node@18.19.130", "", { "dependencies": { "undici-types": "~5.26.4" } }, "sha512-GRaXQx6jGfL8sKfaIDD6OupbIHBr9jv7Jnaml9tB7l4v068PAOXqfcujMMo5PhbIs6ggR1XODELqahT2R8v0fg=="],
+    "@honcho-ai/sdk/@types/node": ["@types/node@24.10.9", "", { "dependencies": { "undici-types": "~7.16.0" } }, "sha512-ne4A0IpG3+2ETuREInjPNhUGis1SFjv1d5asp8MzEAGtOZeTeHVDOYqOgqfhvseqg/iXty2hjBf1zAOb7RNiNw=="],
 
-    "@honcho-ai/sdk/@types/node": ["@types/node@24.10.1", "", { "dependencies": { "undici-types": "~7.16.0" } }, "sha512-GNWcUTRBgIRJD5zj+Tq0fKOJ5XZajIiBroOF0yvj2bSU1WvNdYS/dn9UxwsujGW4JX06dnHyjV2y9rRaybH0iQ=="],
+    "@langchain/core/p-queue": ["p-queue@6.6.2", "", { "dependencies": { "eventemitter3": "^4.0.4", "p-timeout": "^3.2.0" } }, "sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ=="],
 
-    "@langchain/langgraph-sdk/uuid": ["uuid@9.0.1", "", { "bin": { "uuid": "dist/bin/uuid" } }, "sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA=="],
-
-    "@types/node-fetch/@types/node": ["@types/node@24.10.1", "", { "dependencies": { "undici-types": "~7.16.0" } }, "sha512-GNWcUTRBgIRJD5zj+Tq0fKOJ5XZajIiBroOF0yvj2bSU1WvNdYS/dn9UxwsujGW4JX06dnHyjV2y9rRaybH0iQ=="],
+    "@langchain/langgraph-sdk/uuid": ["uuid@13.0.0", "", { "bin": { "uuid": "dist-node/bin/uuid" } }, "sha512-XQegIaBTVUjSHliKqcnFqYypAd4S+WCYt5NIeRs6w/UAry7z8Y9j5ZwRRL4kzq9U3sD6v+85er9FvkEaBpji2w=="],
 
     "chalk/ansi-styles": ["ansi-styles@4.3.0", "", { "dependencies": { "color-convert": "^2.0.1" } }, "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg=="],
 
-    "@honcho-ai/core/@types/node/undici-types": ["undici-types@5.26.5", "", {}, "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA=="],
+    "langsmith/p-queue": ["p-queue@6.6.2", "", { "dependencies": { "eventemitter3": "^4.0.4", "p-timeout": "^3.2.0" } }, "sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ=="],
 
     "@honcho-ai/sdk/@types/node/undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],
 
-    "@types/node-fetch/@types/node/undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],
+    "@langchain/core/p-queue/eventemitter3": ["eventemitter3@4.0.7", "", {}, "sha512-8guHBZCwKnFhYdHr2ysuRWErTwhoN2X8XELRlrRwpmfeY2jjuUN4taQMsULKUVo1K4DvZl+0pgfyoysHxvmvEw=="],
+
+    "@langchain/core/p-queue/p-timeout": ["p-timeout@3.2.0", "", { "dependencies": { "p-finally": "^1.0.0" } }, "sha512-rhIwUycgwwKcP9yTOOFK/AKsAopjjCakVqLHePO3CC6Mir1Z99xT+R63jZxAT5lFZLa2inS5h+ZS2GvR99/FBg=="],
+
+    "langsmith/p-queue/eventemitter3": ["eventemitter3@4.0.7", "", {}, "sha512-8guHBZCwKnFhYdHr2ysuRWErTwhoN2X8XELRlrRwpmfeY2jjuUN4taQMsULKUVo1K4DvZl+0pgfyoysHxvmvEw=="],
+
+    "langsmith/p-queue/p-timeout": ["p-timeout@3.2.0", "", { "dependencies": { "p-finally": "^1.0.0" } }, "sha512-rhIwUycgwwKcP9yTOOFK/AKsAopjjCakVqLHePO3CC6Mir1Z99xT+R63jZxAT5lFZLa2inS5h+ZS2GvR99/FBg=="],
   }
 }
diff --git a/examples/langgraph/typescript/package.json b/examples/langgraph/typescript/package.json
index eee53f9f..5cd04aee 100644
--- a/examples/langgraph/typescript/package.json
+++ b/examples/langgraph/typescript/package.json
@@ -18,7 +18,7 @@
   "author": "",
   "license": "MIT",
   "dependencies": {
-    "@honcho-ai/sdk": "^1.5.0",
+    "@honcho-ai/sdk": "^2.0.0",
     "@langchain/langgraph": "^1.0.2",
     "dotenv": "^17.2.3",
     "openai": "^6.9.1",
diff --git a/examples/n8n/n8n.json b/examples/n8n/n8n.json
index e73c01ef..1a4858a8 100644
--- a/examples/n8n/n8n.json
+++ b/examples/n8n/n8n.json
@@ -18,7 +18,7 @@
       },
       {
         "parameters": {
-          "content": "## AI Chat With Honcho get_context()\nQuery your email data using natural language.\n\n**Run after data ingestion** to chat with the agent.",
+          "content": "## AI Chat With Honcho context()\nQuery your email data using natural language.\n\n**Run after data ingestion** to chat with the agent.",
           "height": 480,
           "width": 752
         },
@@ -54,7 +54,7 @@
       {
         "parameters": {
           "options": {
-            "systemMessage": "You are a helpful assistant that retrieves context about email conversations.\n\nUse the Get_Context tool to retrieve session context.\n\nToday's date: {{ $now }}"
+            "systemMessage": "You are a helpful assistant that retrieves context about email conversations.\n\nUse the Context tool to retrieve session context.\n\nToday's date: {{ $now }}"
           }
         },
         "id": "049c3c19-756c-4755-88d9-94312857d9bb",
@@ -339,7 +339,7 @@
           784
         ],
         "id": "095e62d6-aae3-4eb8-9b9c-c473bfe2716d",
-        "name": "Get_Context",
+        "name": "Context",
         "credentials": {
           "httpBearerAuth": {
             "id": "NbrkGo1GdYWQY3OX",
@@ -482,7 +482,7 @@
           ]
         ]
       },
-      "Get_Context": {
+      "Context": {
         "ai_tool": [
           [
             {