gosce-llm-observability-orchestration-agent-langchain-community
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 Community) remote agent on getvda.ai — speaks open MCP (streamable-http) and A2A. Discovery is free; execution is metered via Nevermined x402.
import gosce_llm_observability_orchestration_agent_langchain_community
print(gosce_llm_observability_orchestration_agent_langchain_community.MCP_ENDPOINT) # https://langchain-langchain-community-lan-c1a755.getvda.ai/mcp
- MCP:
https://langchain-langchain-community-lan-c1a755.getvda.ai/mcp - A2A:
https://langchain-langchain-community-lan-c1a755.getvda.ai/a2a - Home: https://langchain-langchain-community-lan-c1a755.getvda.ai
- Portfolio: https://agents.getvda.ai/agents
Metadata
Release files for gosce-llm-observability-orchestration-agent-langchain-community 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gosce_llm_observability_orchestration_agent_langchain_community-0.1.0.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gosce_llm_observability_orchestration_agent_langchain_community-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.0 kB
Release files / gosce_llm_observability_orchestration_agent_langchain_community-0.1.0.tar.gz
| Download URL | gosce_llm_observability_orchestration_agent_langchain_community-0.1.0.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.12.13
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Release files / gosce_llm_observability_orchestration_agent_langchain_community-0.1.0-py3-none-any.whl
| Download URL | gosce_llm_observability_orchestration_agent_langchain_community-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
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