openai.github.io/openai-agents-python/context/): Control what past messages, attachments, and tool runs are injected into prompts.
- [Testing](https://openai.github.io/openai-agents-python/testing/): Test Agent, Sandbox, Realtime, and Voice workflows deterministically without provider requests.
## Coordination
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repo deliberately avoids
- Dependencies between skills (each stays self-contained)
- Complex build systems or test frameworks (portability first)
- Generic advice instead of specific frameworks
- LLM calls in scripts (defeats portability
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pass rate with the skill vs 6.7% without in the formal eval; a 1084-test suite guards the mechanisms.
- Differentiators: an opt-in completion gate, multi-agent shared state
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case (AI/LLM integration, email automation, social media, HR, DevOps, document processing). Review, configure, and test each workflow before use. Created by Enes Cingoz.
## What is this repository?
Awesome n8n Templates
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Evaluation](https://github.com/NirDiamant/GenAI_Agents/blob/main/all_agents_tutorials/trace_based_agent_evaluation.ipynb): Evaluate an agent from its execution traces.
- [End-to-End Testing Agent](https://github.com/NirDiamant/GenAI_Agents/blob/main/all_agents_tutorials/e2e_testing_agent.ipynb): An agent that writes and runs end-to-end tests.
- [Human
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console,
> backed by an identity pool (cookies + proxies + fingerprints) that mints,
> tests, cools and retires its own identities. Open source (Apache-2.0), free,
> and it runs entirely on your
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built
- Developed with Claude Code (Anthropic's coding agent); changes are reviewed, tested and released by the maintainer. The app itself needs no AI service; the AI coach
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query and aggregation type, generated
from the engine's own dispatch tables and unit-tested against them
7. ENDPOINT CATALOGUE ....... the complete Elasticsearch-compatible surface on :9200
8. MINIMAL
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trained for), the shipped model scores 90.29 where Opus 5.5 scores 100: not a test on unseen questions, and not a claim of general question answering.
> - **Not implemented
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Parlant to your business: it writes the policies, connects your systems, and runs the tests. Parlant provides the rest: an engine that follows your policies in every conversation, checks
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gauge-readout-moves](https://vincentwei1021.github.io/video-shotcraft/#gauge-readout-moves): Two instrument reads: a full-range needle self-test and a moving scale that races beneath a fixed pointer.
- [scroll-brake-moves](https://vincentwei1021.github.io
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base, merged at export, 4-bit. Data is three JSONL files, training, validation and test, one clip per line, the audio path relative to the file; a `language` outside
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base, merged at export, 4-bit. Data is three JSONL files, training, validation and test, one clip per line, the audio path relative to the file; a `language` outside
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Code, Codex, Gemini CLI and Ollama
Claude Code, run through OmniGet, fixes a failing test in about 15 seconds from one command. It asks permission with the diff on screen
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Ollama models, with per-folder permissions, undo, durable jobs, loops that repeat until a test command passes, an embedded MCP server with 49 tools, and an isometric house called
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customize behavior per customer while keeping the implementation in code you can review, test, and version control.
## How it works
Embed Nango Auth in your product so users can connect
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