* Add archival memory import/export utilities
Added two utility scripts for managing agent archival memories:
- export_agent_memories.py: Export all passages from an agent to JSON
- Paginates through all results
- Removes embedding/embedding_config for portability
- Usage: python export_agent_memories.py <agent_id> [--output <file>]
- import_agent_memories.py: Import passages into an agent from JSON
- Batch imports with progress tracking
- Handles optional fields (tags, created_at)
- Includes dry-run mode for preview
- Usage: python import_agent_memories.py <agent_id> <input_file>
Use cases:
- Backup/restore agent memories
- Transfer memories between agents
- Seed new agents with existing knowledge bases
👾 Generated with Letta Code (https://letta.com)
Co-Authored-By: Letta <noreply@letta.com>
* docs: migrate documentation to cloud-first approach
Update all documentation to use Letta Cloud as the default deployment path:
- Remove base_url parameter from cloud examples (uses api.letta.com by default)
- Add token authentication to all SDK examples
- Change localhost URLs to https://api.letta.com in all examples
- Remove embedding parameter from cloud examples (managed automatically)
- Add comprehensive embedding configuration section to self-hosting guide
- Add warnings about required embedding configuration for self-hosted deployments
- Update curl examples to include Authorization headers
- Link to https://app.letta.com/api-keys for token retrieval
Files updated:
- Agent guides (11 files)
- Model configuration pages (5 files)
- Evals documentation (6 files)
- ADE guides (2 files)
- Self-hosting guide
- Voice integration guide
- README
- Quickstart
* docs: fix embedding parameter issues in cloud examples
- Remove leftover embedding parameter from TypeScript example in agents/overview.mdx
- Make self-hosting comment more explicit in README by showing actual embedding parameter syntax
* docs: fix model configuration pages to be self-hosting focused
Model configuration pages (OpenAI, Anthropic, Azure, xAI, Ollama) are about
configuring providers on self-hosted servers, not Letta Cloud. Updated all
SDK examples to:
- Use base_url="http://localhost:8283" instead of cloud token auth
- Include embedding parameter with clear comment
- Use consistent "An embedding model is required for self-hosted" wording
- Add Note directing cloud users to quickstart guide
This clarifies that provider configuration is a self-hosting concern, while
Letta Cloud manages providers automatically.
* fix: remove duplicate Authorization headers in human-in-the-loop docs
* chore: remove utility scripts that shouldn't be in repo
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Co-authored-by: Letta <noreply@letta.com>
* uv migration
smaller runners, freeze test runs, remove dev, ruff,hatchling, previw,
poetry, generates wheel, installs wheel, docker
* fix tests and dependency groups
* test fixes
* test fixing and main
* resolve merge conflict
* dev + test dependency group
* Test
* trigger CI
* trigger CI
* add debugging info
* trigger CI
* uv for reusable and sdk preview
* resolve mc and reformat black
* staged-api
* mypy
* fix fern
* prod Dockerfile
* model sweep, and project.toml and uvlock
* --group test -> --extra dev
* remove redundant --extra dev and rename tests to dev
* sdk backwards compat install sqlite
* install sqlite group for sdk-backwards-compat
* install uv on gh runner for cloud-api-integration-tests
* stage+publish
* pytest asyncio
* bug causing pytest package to get removed
* try to fix async event loop issues
* migrate to --with google-cloud-secret-manager
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Co-authored-by: Kian Jones <kian@letta.com>
