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Use when setting model handles, adjusting temperature\u002Ftokens, configuring provider-specific settings, setting up BYOK providers, or configuring self-hosted deployments with environment variables.\nlicense: MIT\n---\n\n# Letta Configuration\n\nComplete guide for configuring models on agents and providers on servers.\n\n## When to Use This Skill\n\n**Agent-level (model configuration):**\n- Creating agents with specific model configurations\n- Adjusting model settings (temperature, max tokens, context window)\n- Configuring provider-specific features (OpenAI reasoning, Anthropic thinking)\n- Changing models on existing agents\n\n**Server-level (provider configuration):**\n- Setting up BYOK (bring your own key) providers\n- Configuring self-hosted deployments with environment variables\n- Validating provider credentials\n- Setting up custom OpenAI-compatible endpoints\n\n**Not covered here:** Model selection advice (which model to choose) - see `agent-development` skill.\n\n---\n\n## Part 1: Model Configuration (Agent-Level)\n\n### Model Handles\n\nModels use a `provider\u002Fmodel-name` format:\n\n| Provider | Handle Prefix | Example |\n|----------|---------------|---------|\n| OpenAI | `openai\u002F` | `openai\u002Fgpt-4o`, `openai\u002Fgpt-4o-mini` |\n| Anthropic | `anthropic\u002F` | `anthropic\u002Fclaude-sonnet-4-5-20250929` |\n| Google AI | `google_ai\u002F` | `google_ai\u002Fgemini-2.0-flash` |\n| Azure OpenAI | `azure\u002F` | `azure\u002Fgpt-4o` |\n| AWS Bedrock | `bedrock\u002F` | `bedrock\u002Fanthropic.claude-3-5-sonnet` |\n| Groq | `groq\u002F` | `groq\u002Fllama-3.3-70b-versatile` |\n| Together | `together\u002F` | `together\u002Fmeta-llama\u002FLlama-3-70b` |\n| OpenRouter | `openrouter\u002F` | `openrouter\u002Fanthropic\u002Fclaude-3.5-sonnet` |\n| Ollama (local) | `ollama\u002F` | `ollama\u002Fllama3.2` |\n\n### Basic Model Configuration\n\n```python\nfrom letta_client import Letta\n\nclient = Letta(api_key=\"your-api-key\")\n\nagent = client.agents.create(\n    model=\"openai\u002Fgpt-4o\",\n    model_settings={\n        \"provider_type\": \"openai\",  # Required - must match model provider\n        \"temperature\": 0.7,\n        \"max_output_tokens\": 4096,\n    },\n    context_window_limit=128000\n)\n```\n\n### Common Settings\n\n| Setting | Type | Description |\n|---------|------|-------------|\n| `provider_type` | string | **Required.** Must match model provider (`openai`, `anthropic`, `google_ai`, etc.) |\n| `temperature` | float | Controls randomness (0.0-2.0). Lower = more deterministic. |\n| `max_output_tokens` | int | Maximum tokens in the response. |\n\n### Changing an Agent's Model\n\n```python\nclient.agents.update(\n    agent_id=agent.id,\n    model=\"anthropic\u002Fclaude-sonnet-4-5-20250929\",\n    model_settings={\"provider_type\": \"anthropic\", \"temperature\": 0.5},\n    context_window_limit=64000\n)\n```\n\n**Note:** Agents retain memory and tools when changing models.\n\n### Provider-Specific Settings\n\nFor OpenAI reasoning models and Anthropic extended thinking, see `references\u002Fprovider-settings.md`.\n\n---\n\n## Part 2: Provider Configuration (Server-Level)\n\n### Quick Start\n\n```bash\n# Add provider via API\npython scripts\u002Fsetup_provider.py --type openai --api-key sk-...\n\n# Generate .env for Docker\npython scripts\u002Fgenerate_env.py --providers openai,anthropic,ollama\n\n# Validate credentials\npython scripts\u002Fvalidate_provider.py --provider-id provider-xxx\n```\n\n### Add BYOK Provider\n\n```python\n# Via REST API\ncurl -X POST http:\u002F\u002Flocalhost:8283\u002Fv1\u002Fproviders \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d '{\n    \"name\": \"My OpenAI\",\n    \"provider_type\": \"openai\",\n    \"api_key\": \"sk-your-key-here\"\n  }'\n```\n\n### Supported Provider Types\n\n`openai`, `anthropic`, `azure`, `google_ai`, `google_vertex`, `ollama`, `groq`, `deepseek`, `xai`, `together`, `mistral`, `cerebras`, `bedrock`, `vllm`, `sglang`, `hugging_face`, `lmstudio_openai`\n\nFor detailed configuration of each provider, see:\n- `references\u002Fcommon_providers.md` - OpenAI, Anthropic, Azure, Google\n- `references\u002Fself_hosted_providers.md` - Ollama, vLLM, LM Studio\n- `references\u002Fall_providers.md` - Complete reference\n- `references\u002Fenvironment_variables.md` - Docker\u002Fself-hosted setup\n\n---\n\n## Anti-Hallucination Checklist\n\nBefore configuring:\n\n- [ ] Model handle uses correct `provider\u002Fmodel-name` format\n- [ ] `model_settings` includes required `provider_type` field\n- [ ] `context_window_limit` is set at agent level, not in `model_settings`\n- [ ] Provider-specific settings use correct nested structure\n- [ ] For self-hosted: embedding model is specified\n- [ ] Temperature is within valid range (0.0-2.0)\n\n## Scripts\n\n**Model configuration:**\n- `scripts\u002Fbasic_config.py` - Basic model configuration\n- `scripts\u002Fbasic_config.ts` - TypeScript equivalent\n- `scripts\u002Fchange_model.py` - Changing models on existing agents\n- `scripts\u002Fprovider_specific.py` - OpenAI reasoning, Anthropic thinking\n\n**Provider configuration:**\n- `scripts\u002Fsetup_provider.py` - Add providers via REST API\n- `scripts\u002Fvalidate_provider.py` - Check provider credentials\n- `scripts\u002Fgenerate_env.py` - Generate .env for 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Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading\u002Finjecting\u002Frunning secrets via op.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1423,1426,1429],{"name":1424,"slug":1425,"type":16},"Authentication","authentication",{"name":1427,"slug":1428,"type":16},"CLI","cli",{"name":1430,"slug":1431,"type":16},"Security","security","2026-07-13T06:24:39.504387",{"slug":1434,"name":1434,"fn":1435,"description":1436,"org":1437,"tags":1438,"stars":23,"repoUrl":24,"updatedAt":1449},"agent-slack","automate Slack messaging and workflows","Slack automation CLI — read\u002Fsend\u002Fsearch messages, browse threads and channels, manage channels, download attachments, look up users, and run workflows.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1439,1442,1443,1446],{"name":1440,"slug":1441,"type":16},"Automation","automation",{"name":1427,"slug":1428,"type":16},{"name":1444,"slug":1445,"type":16},"Messaging","messaging",{"name":1447,"slug":1448,"type":16},"Slack","slack","2026-07-13T06:23:51.908511",{"slug":1451,"name":1451,"fn":1452,"description":1453,"org":1454,"tags":1455,"stars":23,"repoUrl":24,"updatedAt":1466},"ai-news","fetch and summarize AI news","Fetch and summarize recent AI news from curated RSS feeds (Hugging Face, VentureBeat, The Verge, OpenAI, Anthropic, DeepMind, etc.) and YouTube channels (Yannic Kilcher, Two Minute Papers, AI Explained, etc.). Also fetches full transcripts for specific YouTube videos. Use when the user asks about recent AI news, what's happened in AI lately, summaries of AI research or product announcements, or wants a digest of what's going on in the AI space.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1456,1459,1460,1463],{"name":1457,"slug":1458,"type":16},"Communications","communications",{"name":18,"slug":19,"type":16},{"name":1461,"slug":1462,"type":16},"Research","research",{"name":1464,"slug":1465,"type":16},"Summarization","summarization","2026-07-13T06:24:20.520223",{"slug":1468,"name":1468,"fn":1469,"description":1470,"org":1471,"tags":1472,"stars":23,"repoUrl":24,"updatedAt":1481},"creating-letta-code-channels","build and debug Letta Code channels","Builds and debugs Letta Code channels, including first-party channel adapters and dynamic user channel plugins under ~\u002F.letta\u002Fchannels. Use when adding Telegram, WhatsApp, Bluesky, Slack, Discord, or custom channel support; testing channel routing, pairing, MessageChannel, runtime dependencies, or channel plugin manifests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1473,1476,1479,1480],{"name":1474,"slug":1475,"type":16},"Agents","agents",{"name":1477,"slug":1478,"type":16},"API Development","api-development",{"name":1444,"slug":1445,"type":16},{"name":1447,"slug":1448,"type":16},"2026-07-13T06:25:55.843495",{"slug":1483,"name":1483,"fn":1484,"description":1485,"org":1486,"tags":1487,"stars":23,"repoUrl":24,"updatedAt":1502},"datadog","query Datadog observability data","Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API. Use when investigating production issues, checking monitors, searching logs, or accessing Datadog data.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1488,1490,1493,1496,1499],{"name":1489,"slug":1483,"type":16},"Datadog",{"name":1491,"slug":1492,"type":16},"Logs","logs",{"name":1494,"slug":1495,"type":16},"Metrics","metrics",{"name":1497,"slug":1498,"type":16},"Monitoring","monitoring",{"name":1500,"slug":1501,"type":16},"Observability","observability","2026-07-13T06:24:27.990605",{"slug":1504,"name":1504,"fn":1505,"description":1506,"org":1507,"tags":1508,"stars":23,"repoUrl":24,"updatedAt":1512},"discord","automate Discord server and channel tasks","Discord automation CLI — send\u002Fread\u002Fsearch messages, manage channels and servers, react, create threads, pin messages, and look up users.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1509,1510,1511],{"name":1440,"slug":1441,"type":16},{"name":1427,"slug":1428,"type":16},{"name":1444,"slug":1445,"type":16},"2026-07-13T06:24:26.62387",{"slug":1514,"name":1514,"fn":1515,"description":1516,"org":1517,"tags":1518,"stars":23,"repoUrl":24,"updatedAt":1531},"doc","create and edit Word documents","Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts\u002Frender_docx.py` for visual checks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1519,1522,1525,1528],{"name":1520,"slug":1521,"type":16},"Documents","documents",{"name":1523,"slug":1524,"type":16},"DOCX","docx",{"name":1526,"slug":1527,"type":16},"Office","office",{"name":1529,"slug":1530,"type":16},"Word","word","2026-07-13T06:23:44.299568",45,{"items":1534,"total":1685},[1535,1549,1564,1576,1588,1602,1612,1623,1635,1649,1660,1670],{"slug":1536,"name":1536,"fn":1537,"description":1538,"org":1539,"tags":1540,"stars":1546,"repoUrl":1547,"updatedAt":1548},"acquiring-skills","discover and install agent skills","Discover and install skills from Hermes, ClawHub, GitHub, and other registries. Load this skill whenever a user asks for a capability you don't already have — image generation, social media, email, calendar, finance, DevOps, search, browser automation, etc.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1541,1542,1543],{"name":1474,"slug":1475,"type":16},{"name":1440,"slug":1441,"type":16},{"name":1544,"slug":1545,"type":16},"GitHub","github",2831,"https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fletta-code","2026-07-13T06:22:58.45767",{"slug":1550,"name":1551,"fn":1552,"description":1553,"org":1554,"tags":1555,"stars":1546,"repoUrl":1547,"updatedAt":1563},"context-doctor","Context Doctor","repair system prompt and memory degradation","Identify and repair degradation in system prompt, external memory, and skills preventing you from following instructions or remembering information as well as you should.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1556,1557,1560],{"name":1474,"slug":1475,"type":16},{"name":1558,"slug":1559,"type":16},"AI Context","ai-context",{"name":1561,"slug":1562,"type":16},"Debugging","debugging","2026-07-13T06:22:50.151002",{"slug":1565,"name":1565,"fn":1566,"description":1567,"org":1568,"tags":1569,"stars":1546,"repoUrl":1547,"updatedAt":1575},"converting-mcps-to-skills","connect MCP servers to create skills","Connect to MCP (Model Context Protocol) servers and create skills for repeated use. Load when a user wants to use an MCP server, connect to external tools via MCP, or when they mention MCP, model context protocol, or specific MCP servers.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1570,1571,1572],{"name":1474,"slug":1475,"type":16},{"name":1440,"slug":1441,"type":16},{"name":1573,"slug":1574,"type":16},"MCP","mcp","2026-07-13T06:23:37.646079",{"slug":1577,"name":1577,"fn":1578,"description":1579,"org":1580,"tags":1581,"stars":1546,"repoUrl":1547,"updatedAt":1587},"creating-mods","create and edit Letta Code mods","Creates and edits trusted local Letta Code mods, including tools, slash commands, local-only model providers, lifecycle\u002Fturn events, scoped conversation helpers, panels, and capability-gated behavior. Use when asked to make a mod, add an agent-callable tool, add a slash command, add a local provider\u002Fmodel adapter, transform turns, react to app events, or add lightweight mod UI outside the dedicated \u002Fstatusline flow.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1582,1583,1584],{"name":1474,"slug":1475,"type":16},{"name":1440,"slug":1441,"type":16},{"name":1585,"slug":1586,"type":16},"Coding","coding","2026-07-23T05:42:38.133565",{"slug":1589,"name":1589,"fn":1590,"description":1591,"org":1592,"tags":1593,"stars":1546,"repoUrl":1547,"updatedAt":1601},"creating-skills","create and update agent skills","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1594,1595,1598],{"name":1474,"slug":1475,"type":16},{"name":1596,"slug":1597,"type":16},"Documentation","documentation",{"name":1599,"slug":1600,"type":16},"Plugin Development","plugin-development","2026-07-13T06:22:56.998659",{"slug":1603,"name":1603,"fn":1604,"description":1605,"org":1606,"tags":1607,"stars":1546,"repoUrl":1547,"updatedAt":1611},"customizing-commands","create and manage Letta slash commands","Creates, edits, and enables Letta Code mod-provided slash commands. Use when the user asks to add a custom \u002Fcommand, slash command, command shortcut, scoped conversation-backed command, or command-driven panel behavior.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1608,1609,1610],{"name":1474,"slug":1475,"type":16},{"name":1440,"slug":1441,"type":16},{"name":1427,"slug":1428,"type":16},"2026-07-13T06:23:18.266798",{"slug":1613,"name":1613,"fn":1614,"description":1615,"org":1616,"tags":1617,"stars":1546,"repoUrl":1547,"updatedAt":1622},"customizing-statusline","customize Letta Code statusline mods","Creates, edits, and migrates Letta Code statusline mods. Use when handling the \u002Fstatusline command or continuing work started by \u002Fstatusline.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1618,1619],{"name":1427,"slug":1428,"type":16},{"name":1620,"slug":1621,"type":16},"Engineering","engineering","2026-07-13T06:23:27.465985",{"slug":1624,"name":1624,"fn":1625,"description":1626,"org":1627,"tags":1628,"stars":1546,"repoUrl":1547,"updatedAt":1634},"dispatching-coding-agents","dispatch stateless coding agents","Dispatch stateless coding agents (Claude Code or Codex) via Bash. Use when you're stuck, need a second opinion, or need parallel research on a hard problem. They have no memory — you must provide all context.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1629,1630,1631],{"name":1474,"slug":1475,"type":16},{"name":1585,"slug":1586,"type":16},{"name":1632,"slug":1633,"type":16},"Multi-Agent","multi-agent","2026-07-26T05:46:56.388845",{"slug":1636,"name":1636,"fn":1637,"description":1638,"org":1639,"tags":1640,"stars":1546,"repoUrl":1547,"updatedAt":1648},"editing-letta-code-desktop-preferences","edit Letta Code Desktop preferences","Edits Letta Code Desktop (LCD) preferences by safely reading and updating ~\u002F.letta\u002Fdesktop_preferences.json. Use only when the user asks to change current Desktop\u002FLCD settings such as theme, default working directory, remote access preference, or remote environment name via the preferences JSON.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1641,1642,1645],{"name":14,"slug":15,"type":16},{"name":1643,"slug":1644,"type":16},"Desktop","desktop",{"name":1646,"slug":1647,"type":16},"Themes","themes","2026-07-13T06:23:41.407811",{"slug":1650,"name":1650,"fn":1651,"description":1652,"org":1653,"tags":1654,"stars":1546,"repoUrl":1547,"updatedAt":1659},"finding-agents","locate and manage agents on server","Find other agents on the same server. Use when the user asks about other agents, wants to migrate memory from another agent, or needs to find an agent by name or tags.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1655,1656],{"name":1474,"slug":1475,"type":16},{"name":1657,"slug":1658,"type":16},"Management","management","2026-07-16T06:02:17.297841",{"slug":1661,"name":1661,"fn":1662,"description":1663,"org":1664,"tags":1665,"stars":1546,"repoUrl":1547,"updatedAt":1669},"generating-mod-envs","generate Letta mod learning environments","Generates and reviews mod learning env JSON files for Letta Code local mods. Use when asked to teach, learn, or optimize a mod behavior; create, draft, validate, improve, or explain envs for `\u002Fmods learn --env`; or design evaluation scenarios, memory fixtures, requiredResultMarkers, requiredTraceMarkers, negative controls, and candidate diversity hints.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1666,1667,1668],{"name":1474,"slug":1475,"type":16},{"name":21,"slug":22,"type":16},{"name":14,"slug":15,"type":16},"2026-07-13T06:23:08.838181",{"slug":1671,"name":1671,"fn":1672,"description":1673,"org":1674,"tags":1675,"stars":1546,"repoUrl":1547,"updatedAt":1684},"image-generation","generate images from text prompts","Generate images from text prompts (and optionally edit\u002Fremix input images). Use when the user asks to create, generate, draw, render, or edit an image, illustration, logo, icon, diagram, or photo.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1676,1679,1682],{"name":1677,"slug":1678,"type":16},"Creative","creative",{"name":1680,"slug":1681,"type":16},"Graphics","graphics",{"name":1683,"slug":1671,"type":16},"Image Generation","2026-07-13T06:23:06.189403",69]