Kian Jones c1a02fa180 feat: add metadata-only provider trace storage option (#9155)
* feat: add metadata-only provider trace storage option

Add support for writing provider traces to a lightweight metadata-only
table (~1.5GB) instead of the full table (~725GB) since request/response
JSON is now stored in GCS.

- Add `LETTA_TELEMETRY_PROVIDER_TRACE_PG_METADATA_ONLY` setting
- Create `provider_trace_metadata` table via alembic migration
- Conditionally write to new table when flag is enabled
- Include backfill script for migrating existing data

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* chore: regenerate API spec and SDK

* fix: use composite PK (created_at, id) for provider_trace_metadata

Aligns with GCS partitioning structure (raw/date=YYYY-MM-DD/{id}.json.gz)
and enables efficient date-range queries via the B-tree index.

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* ammendments

* fix: add bulk data copy to migration

Copy existing provider_traces metadata in-migration instead of separate
backfill script. Creates indexes after bulk insert for better performance.

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* fix: remove data copy from migration, create empty table only

Old data stays in provider_traces, new writes go to provider_trace_metadata
when flag is enabled. Full traces are in GCS anyway.

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* fix: address PR comments

- Remove GCS mention from ProviderTraceMetadata docstring
- Move metadata object creation outside session context

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* fix: reads always use full provider_traces table

The metadata_only flag should only control writes. Reads always go to
the full table to avoid returning ProviderTraceMetadata where
ProviderTrace is expected.

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* feat: enable metadata-only provider trace writes in prod

Add LETTA_TELEMETRY_PROVIDER_TRACE_PG_METADATA_ONLY=true to all
Helm values (memgpt-server and lettuce-py, prod and dev).

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---------

Co-authored-by: Letta <noreply@letta.com>
2026-01-29 12:44:04 -08:00
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Python:

pip install letta-client

Hello World example

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TypeScript:

import Letta from "@letta-ai/letta-client";

const client = new Letta({ apiKey: process.env.LETTA_API_KEY });

// Create your agent
const agentState = await client.agents.create({
  model: "openai/gpt-5.2",
  memory_blocks: [
    {
      label: "human",
      value:
        "Name: Timber. Status: dog. Occupation: building Letta, infrastructure to democratize self-improving superintelligence",
    },
    {
      label: "persona",
      value:
        "I am a self-improving superintelligence. Timber is my best friend and collaborator.",
    },
  ],
  tools: ["web_search", "fetch_webpage"],
});

console.log("Agent created with ID:", agentState.id);

// Send your agent a message
const response = await client.agents.messages.create(agentState.id, {
  input: "What do you know about me?",
});

for (const message of response.messages) {
  console.log(message);
}

Python:

from letta_client import Letta
import os

client = Letta(api_key=os.getenv("LETTA_API_KEY"))

# Create your agent
agent_state = client.agents.create(
    model="openai/gpt-5.2",
    memory_blocks=[
        {
          "label": "human",
          "value": "Name: Timber. Status: dog. Occupation: building Letta, infrastructure to democratize self-improving superintelligence"
        },
        {
          "label": "persona",
          "value": "I am a self-improving superintelligence. Timber is my best friend and collaborator."
        }
    ],
    tools=["web_search", "fetch_webpage"]
)

print(f"Agent created with ID: {agent_state.id}")

# Send your agent a message
response = client.agents.messages.create(
    agent_id=agent_state.id,
    input="What do you know about me?"
)

for message in response.messages:
    print(message)

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