tessl install tessl/pypi-langgraph-cli@0.4.0CLI for interacting with LangGraph API
Agent Success
Agent success rate when using this tile
74%
Improvement
Agent success rate improvement when using this tile compared to baseline
1.17x
Baseline
Agent success rate without this tile
63%
{
"context": "Evaluates whether the solution uses langgraph-cli's build tooling to turn a langgraph.json config into a Docker image, reusing package helpers rather than reimplementing Docker plumbing. Focus is on config validation, inline Dockerfile generation, tag/base-image resolution, and the build invocation with proper flags.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Config validation",
"description": "Loads the config via langgraph_cli.config.validate_config_file (or validate_config) before any build steps and fails early on invalid files.",
"max_score": 20
},
{
"name": "Tag resolution",
"description": "Derives the image tag with langgraph_cli.config.docker_tag when no tag is provided while honoring an explicit tag input.",
"max_score": 20
},
{
"name": "Dockerfile generation",
"description": "Produces the inline Dockerfile and build contexts using langgraph_cli.config.config_to_docker, passing through platform/base image options instead of hand-writing Dockerfile content.",
"max_score": 25
},
{
"name": "Base image defaults",
"description": "Uses langgraph_cli.config.default_base_image output when no override is supplied and threads any base_image override into the build inputs/commands.",
"max_score": 15
},
{
"name": "Build invocation",
"description": "Runs the image build through langgraph_cli.exec.Runner (or the package's build command) with the generated Dockerfile/contexts, forwarding build args/platform flags and respecting the pull toggle rather than invoking docker directly with hardcoded strings.",
"max_score": 20
}
]
}