261 results in Observability, Hooks, Identity, Infrastructure · page 7 of 11
ObservabilityPreview
fiddler-ai
Fiddler AI Observability platform monitors LLM applications for hallucinations, toxicity, bias, and drift, with explainability and alerting for production AI.
Block git force push commands using the if condition for efficient filtering. Prevents accidental force pushes that can overwrite remote history. Covers --force, --force-with-lease, and the -f shorthand.
Automatically format JavaScript/TypeScript files after any Edit operation using prettier. This hook runs 'npx prettier --write' on any .js, .ts, .jsx, or .tsx file that Claude modifies, ensuring consistent code formatting. Uses npx so prettier doesn't need to be globally installed. Includes error suppression so it won't fail if prettier is not available.
Automatically format Python files after any Edit operation using black formatter. This hook runs 'black' on any .py file that Claude modifies, ensuring consistent Python code formatting. Requires black to be installed ('pip install black'). The command includes error suppression (2>/dev/null || true) so it won't fail if black is not installed.
Automatically stage changes in git after file modifications for easier commit workflow. This hook runs 'git add' on any file that Claude edits or writes, automatically staging changes for the next commit. Includes error suppression so it won't fail in non-git repositories. Helps streamline the development workflow by preparing files for commit.
Automatically send Claude Code conversation traces to LangSmith for monitoring and analysis. Prerequisites: jq (brew install jq on macOS or sudo apt-get install jq on Linux), curl and uuidgen (usually pre-installed), LangSmith account and API key. Configuration: Install langsmith-tracing setting (npx claude-code-templates@latest --setting telemetry/langsmith-tracing) or manually add to .claude/settings.local.json the following environment variables: TRACE_TO_LANGSMITH=true, CC_LANGSMITH_API_KEY=lsv2_pt_..., CC_LANGSMITH_PROJECT=project-name, CC_LANGSMITH_DEBUG=true (optional). How it works: Runs in background on Stop event after each Claude response, reads conversation transcript, converts to LangSmith format, sends to LangSmith API, groups by thread_id for session continuity. Debugging: Check logs at ~/.claude/state/hook.log. Privacy note: System prompts not included in traces.
Open-source, OpenTelemetry-compliant LLM observability tool by Scale3Labs. It traces calls to all major LLM providers and frameworks with a self-hostable UI.
Ultra-fast headless browser written in Zig specifically for AI and automation workloads. It runs JavaScript natively, uses 9x less memory than Chrome headless, and targets sub-100ms page execution.
Literal AI is an observability and evaluation platform for conversational AI. It captures multi-step threads, scores responses, and integrates with Chainlit.
Open-source LLM observability and prompt management platform. It tracks conversations, errors, costs, and user feedback for production AI applications.
Maxim AI is an evaluation and observability platform for AI agents. It supports multi-step trace analysis, prompt testing, and production quality monitoring.
Hook bundle: Reference lifecycle hook definitions for ECC memory persistence. The production hook graph is hooks/hooks.json.. Use to persist and reload agent session state across compaction.