Azure Architecture Autopilot
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
Configure LLM models and providers for Letta agents and servers.
$ npx skills add letta-ai/skills --skill letta-configuration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install letta-ai/skills letta-configuration --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/letta/letta-configuration .claude/skills/letta-configuration && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "letta-configuration" agent skill from https://github.com/letta-ai/skills/tree/main/letta/letta-configuration into .claude/skills/letta-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "letta-configuration", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/letta-ai/skills/tree/main/letta/letta-configurationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add letta-ai/skills --skill letta-configuration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install letta-ai/skills letta-configuration --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/letta/letta-configuration .agents/skills/letta-configuration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "letta-configuration" agent skill from https://github.com/letta-ai/skills/tree/main/letta/letta-configuration into .agents/skills/letta-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "letta-configuration", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add letta-ai/skills --skill letta-configuration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install letta-ai/skills letta-configuration --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/letta/letta-configuration .cursor/skills/letta-configuration && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "letta-configuration" agent skill from https://github.com/letta-ai/skills/tree/main/letta/letta-configuration into .cursor/skills/letta-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "letta-configuration", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/letta-ai/skills.git --path letta/letta-configuration--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add letta-ai/skills --skill letta-configuration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install letta-ai/skills letta-configuration --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/letta/letta-configuration .gemini/skills/letta-configuration && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "letta-configuration" agent skill from https://github.com/letta-ai/skills/tree/main/letta/letta-configuration into .gemini/skills/letta-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "letta-configuration", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install letta-ai/skills letta-configurationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add letta-ai/skills --skill letta-configuration -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/letta/letta-configuration .github/skills/letta-configuration && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "letta-configuration" agent skill from https://github.com/letta-ai/skills/tree/main/letta/letta-configuration into .github/skills/letta-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "letta-configuration", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add letta-ai/skills --skill letta-configuration -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install letta-ai/skills letta-configuration --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/letta/letta-configuration .opencode/skills/letta-configuration && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "letta-configuration" agent skill from https://github.com/letta-ai/skills/tree/main/letta/letta-configuration into .opencode/skills/letta-configuration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "letta-configuration", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
letta-configurationConfigure LLM models and providers for Letta agents and servers.
Letta Configuration is an agent skill from letta-ai/skills. Configure LLM models and providers for Letta agents and servers. Use when setting model handles, adjusting temperature/tokens, configuring provider-specific settings, setting up BYOK providers, or configuring self-hosted deployments with environment variables.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `references/all_providers.md`, `references/common_providers.md` and `references/custom-endpoints.md`).
It sits in DevOps & Cloud, covering Deployment and Secrets management. It works with Letta, OpenAI, Ollama and OpenRouter. The repository describes itself as: A shared repository for skills. Intended to be used with Letta Code, Claude Code, Codex CLI, and other agents that support skills. The licence is MIT.
Read from SKILL.md and the folder at commit 6785511. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 7 files in scripts/ (Python and TypeScript), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Letta Configuration loads about 1.3k tokens when it runs, and up to ~9.3k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 325 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
# Generate .env for Docker- `scripts/generate_env.py` - Generate .env for DockerAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from letta-ai/skills at commit 6785511, republished under its MIT licence (© letta-ai). 325 words, ~1,257 tokens.
.claude/skills/letta-configuration/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.Complete guide for configuring models on agents and providers on servers.
Agent-level (model configuration):
Server-level (provider configuration):
Not covered here: Model selection advice (which model to choose) - see agent-development skill.
Models use a provider/model-name format:
| Provider | Handle Prefix | Example |
|---|---|---|
| OpenAI | openai/ | openai/gpt-4o, openai/gpt-4o-mini |
| Anthropic | anthropic/ | anthropic/claude-sonnet-4-5-20250929 |
| Google AI | google_ai/ | google_ai/gemini-2.0-flash |
| Azure OpenAI | azure/ | azure/gpt-4o |
| AWS Bedrock | bedrock/ | bedrock/anthropic.claude-3-5-sonnet |
| Groq | groq/ | groq/llama-3.3-70b-versatile |
| Together | together/ | together/meta-llama/Llama-3-70b |
| OpenRouter | openrouter/ | openrouter/anthropic/claude-3.5-sonnet |
| Ollama (local) | ollama/ | ollama/llama3.2 |
from letta_client import Letta
client = Letta(api_key="your-api-key")
agent = client.agents.create(
model="openai/gpt-4o",
model_settings={
"provider_type": "openai", # Required - must match model provider
"temperature": 0.7,
"max_output_tokens": 4096,
},
context_window_limit=128000
)| Setting | Type | Description |
|---|---|---|
provider_type | string | Required. Must match model provider (openai, anthropic, google_ai, etc.) |
temperature | float | Controls randomness (0.0-2.0). Lower = more deterministic. |
max_output_tokens | int | Maximum tokens in the response. |
client.agents.update(
agent_id=agent.id,
model="anthropic/claude-sonnet-4-5-20250929",
model_settings={"provider_type": "anthropic", "temperature": 0.5},
context_window_limit=64000
)Note: Agents retain memory and tools when changing models.
For OpenAI reasoning models and Anthropic extended thinking, see references/provider-settings.md.
# Add provider via API
python scripts/setup_provider.py --type openai --api-key sk-...
# Generate .env for Docker
python scripts/generate_env.py --providers openai,anthropic,ollama
# Validate credentials
python scripts/validate_provider.py --provider-id provider-xxx# Via REST API
curl -X POST http://localhost:8283/v1/providers \
-H "Content-Type: application/json" \
-d '{
"name": "My OpenAI",
"provider_type": "openai",
"api_key": "sk-your-key-here"
}'openai, anthropic, azure, google_ai, google_vertex, ollama, groq, deepseek, xai, together, mistral, cerebras, bedrock, vllm, sglang, hugging_face, lmstudio_openai
For detailed configuration of each provider, see:
references/common_providers.md - OpenAI, Anthropic, Azure, Googlereferences/self_hosted_providers.md - Ollama, vLLM, LM Studioreferences/all_providers.md - Complete referencereferences/environment_variables.md - Docker/self-hosted setupBefore configuring:
provider/model-name formatmodel_settings includes required provider_type fieldcontext_window_limit is set at agent level, not in model_settingsModel configuration:
scripts/basic_config.py - Basic model configurationscripts/basic_config.ts - TypeScript equivalentscripts/change_model.py - Changing models on existing agentsscripts/provider_specific.py - OpenAI reasoning, Anthropic thinkingProvider configuration:
scripts/setup_provider.py - Add providers via REST APIscripts/validate_provider.py - Check provider credentialsscripts/generate_env.py - Generate .env for Docker© letta-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 14 other files (scripts, references) in letta/letta-configuration of letta-ai/skills.
Open the folder on GitHubat commit 6785511
Letta Configuration next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Letta Configuration this skillletta-ai/skills | 149 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Capacitymicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Azure Bicep Skilltimothywarner-org/claude-code | 224 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Deploy Modelmicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Deploynoskillish/bankmcp | 277 | — | ~744 | Automated safety check: Pass | MIT |
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
microsoft/GitHub-Copilot-for-Azure
Discovers available Azure OpenAI model capacity across regions and projects.
timothywarner-org/claude-code
A skill your agent uses when authoring, reviewing, or refactoring Azure Bicep code.
microsoft/GitHub-Copilot-for-Azure
Unified Azure OpenAI model deployment skill with intelligent intent-based routing.
noskillish/bankmcp
Deploy BankMCP™ to a small server so it works in claude.ai and on the phone: Railway or Fly.io, volume, domain, setup page, connector.
matrixorigin/memoria
Deploy Memoria with Docker Compose or Kubernetes. An agent skill from matrixorigin/memoria.
letta-ai/skills
Build and maintain a persistent visual identity for your agent using Flux Kontext Pro.
letta-ai/skills
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…
letta-ai/skills
Builds and debugs Letta Code channels, including first-party channel adapters and dynamic user channel plugins under ~/.letta/channels.
letta-ai/skills
Migrates deprecated Letta Filesystem folders/files to MemFS using markdown document corpora, chunking, local lexical search, and QMD semantic search via the memfs-search skill.
letta-ai/skills
Semantic search over agent memory files. An agent skill from letta-ai/skills.
letta-ai/skills
Navigates archived ChatGPT or Claude-style conversation exports and a MemFS reference archive on demand.
Categories
Configure LLM models and providers for Letta agents and servers. Letta Configuration is an agent skill from letta-ai/skills. Configure LLM models and providers for Letta agents and servers.
Letta Configuration fits situations like: setting model handles; adjusting temperature/tokens; configuring provider-specific settings; setting up BYOK providers.
Run `npx skills add letta-ai/skills --skill letta-configuration -a claude-code`. Or copy the skill folder (letta/letta-configuration in letta-ai/skills) into .claude/skills/letta-configuration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add letta-ai/skills --skill letta-configuration -a codex`. Or copy the skill folder (letta/letta-configuration in letta-ai/skills) into .agents/skills/letta-configuration in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add letta-ai/skills --skill letta-configuration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/letta-configuration, .gemini/skills/letta-configuration, .github/skills/letta-configuration and .opencode/skills/letta-configuration in your project.
Going by SKILL.md and its folder, Letta Configuration needs Python and TypeScript for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; Node.js; Docker.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Letta Configuration is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Letta Configuration: Azure Architecture Autopilot (github/awesome-copilot, 40k stars), Capacity (microsoft/GitHub-Copilot-for-Azure, 255 stars), Azure Bicep Skill (timothywarner-org/claude-code, 224 stars) and Deploy Model (microsoft/GitHub-Copilot-for-Azure, 255 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
letta-ai (a GitHub organization) maintains it in letta-ai/skills, which has 149 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 1, 2026.
Source: letta-ai/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.