Metadata-Version: 2.4
Name: gosce-llm-observability-orchestration-agent-langchain
Version: 0.1.0
Summary: Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing.
Author: Rawson Consulting B.V.
License: MIT
Project-URL: Homepage, https://langchain-langchain-core-langsmit-d042fc.getvda.ai
Project-URL: Portfolio, https://agents.getvda.ai/agents
Keywords: mcp,a2a,ai-agent,llm-observability-orchestration-agent-langchain,getvda
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# gosce-llm-observability-orchestration-agent-langchain

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing.

Thin client for the **LLM Observability & Orchestration Agent (Langchain)** remote agent on [getvda.ai](https://langchain-langchain-core-langsmit-d042fc.getvda.ai) — speaks open **MCP** (streamable-http) and **A2A**. Discovery is free; execution is metered via Nevermined x402.

```python
import gosce_llm_observability_orchestration_agent_langchain
print(gosce_llm_observability_orchestration_agent_langchain.MCP_ENDPOINT)  # https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp
```

- MCP: `https://langchain-langchain-core-langsmit-d042fc.getvda.ai/mcp`
- A2A: `https://langchain-langchain-core-langsmit-d042fc.getvda.ai/a2a`
- Home: https://langchain-langchain-core-langsmit-d042fc.getvda.ai
- Portfolio: https://agents.getvda.ai/agents
