fix: update skills and docs (#4868)

This commit is contained in:
Kartik
2026-04-18 11:42:37 +05:30
committed by GitHub
parent c1c5bd62f6
commit 93da5ef8f7
23 changed files with 461 additions and 662 deletions
@@ -27,7 +27,7 @@ from langchain_core.messages import SystemMessage, HumanMessage
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from mem0 import MemoryClient
llm = ChatOpenAI(model="gpt-4.1-nano-2025-04-14")
llm = ChatOpenAI(model="gpt-5-mini")
mem0 = MemoryClient()
prompt = ChatPromptTemplate.from_messages([
@@ -128,7 +128,7 @@ import { createMem0 } from "@mem0/vercel-ai-provider";
const mem0 = createMem0();
const { text } = await generateText({
model: mem0("gpt-4-turbo", { user_id: "borat" }),
model: mem0("gpt-5-mini", { user_id: "borat" }),
prompt: "Suggest me a good car to buy!",
});
```
@@ -167,7 +167,7 @@ agent = Agent(
Use search_memory to recall past conversations.
Use save_memory to store important information.""",
tools=[search_memory, save_memory],
model="gpt-4.1-nano-2025-04-14"
model="gpt-5-mini"
)
result = Runner.run_sync(agent, "I love Italian food and I'm planning a trip to Rome next month")
@@ -183,21 +183,21 @@ travel_agent = Agent(
name="Travel Planner",
instructions="You are a travel planning specialist. Use search_memory and save_memory tools.",
tools=[search_memory, save_memory],
model="gpt-4.1-nano-2025-04-14"
model="gpt-5-mini"
)
health_agent = Agent(
name="Health Advisor",
instructions="You are a health and wellness advisor. Use search_memory and save_memory tools.",
tools=[search_memory, save_memory],
model="gpt-4.1-nano-2025-04-14"
model="gpt-5-mini"
)
triage_agent = Agent(
name="Personal Assistant",
instructions="""Route travel questions to Travel Planner, health questions to Health Advisor.""",
handoffs=[travel_agent, health_agent],
model="gpt-4.1-nano-2025-04-14"
model="gpt-5-mini"
)
result = Runner.run_sync(triage_agent, "Plan a healthy meal for my Italy trip")
@@ -254,7 +254,7 @@ from langchain_openai import ChatOpenAI
from mem0 import MemoryClient
from langchain_core.messages import SystemMessage, HumanMessage, AIMessage
llm = ChatOpenAI(model="gpt-4")
llm = ChatOpenAI(model="gpt-5-mini")
mem0 = MemoryClient()
class State(TypedDict):
@@ -319,7 +319,7 @@ memory = Mem0Memory.from_client(
from llama_index.core.agent import FunctionCallingAgent
from llama_index.llms.openai import OpenAI
llm = OpenAI(model="gpt-4")
llm = OpenAI(model="gpt-5-mini")
agent = FunctionCallingAgent.from_tools(
tools=[],
llm=llm,
@@ -352,7 +352,7 @@ USER_ID = "alice"
agent = ConversableAgent(
"chatbot",
llm_config={"config_list": [{"model": "gpt-4", "api_key": os.environ["OPENAI_API_KEY"]}]},
llm_config={"config_list": [{"model": "gpt-5-mini", "api_key": os.environ["OPENAI_API_KEY"]}]},
code_execution_config=False,
human_input_mode="NEVER",
)