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generate-from-typespec

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Generate Python SDK code from a TypeSpec specification using the local emitter. Use this skill when the user wants to generate/regenerate a Python client from a TypeSpec spec, provides a GitHub URL or local path to a TypeSpec project, or says things like "generate from this spec", "emit Python from this tsp", "regenerate the SDK", or "compile this TypeSpec for Python".

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Generate From TypeSpec Skill

Compiles a TypeSpec specification using the local @typespec/http-client-python emitter and generates Python SDK code. Supports both branded (@azure-tools/typespec-python) and unbranded (@typespec/http-client-python) generation.

Inputs

The caller must provide:

  1. Spec path — either:
    • A local file path to a .tsp entry point (e.g., client.tsp, main.tsp)
    • A raw GitHub URL pointing to a TypeSpec project directory or file (e.g., https://github.com/Azure/azure-rest-api-specs/tree/main/specification/.../Foundry/src/sdk-service-agentserver-contracts/client.tsp)
  2. Flavor — azure (branded) or unbranded. If not provided, ask the user.
  3. Emitter output directory — the full resolved path where generated code should be written (e.g., ~/Desktop/github/azure-sdk-for-python/sdk/agentserver/azure-ai-agentserver-responses). If not provided, ask the user.
  4. Additional options (optional) — any extra key=value emitter options the user wants applied on top of the tspconfig options. These override tspconfig values if there's a conflict (e.g., models-mode=typeddict).

Workflow

Step 1: Resolve the spec path

If the input is a GitHub URL:

  1. Parse the URL to extract owner, repo, ref (branch/commit), and path.
  2. Check if the repository is cloned locally (look under common locations like ~/Desktop/github/<repo-name>, ~/<repo-name>, etc.).
  3. If found locally, check out the correct ref/commit if needed:
    cd <local-repo>
    git fetch origin <ref>
    git checkout <ref> -- <path-to-spec-dir>/
    
  4. If not found locally, ask the user where the repo is cloned, or offer to clone it.

If the input is a local path:

Verify the file/directory exists. If the path points to a directory, look for client.tsp or main.tsp as the entry point.

Step 2: Locate and parse tspconfig.yaml

Look for tspconfig.yaml in the same directory as the spec entry point, then walk up parent directories until one is found.

# Starting from the spec file's directory, search for tspconfig.yaml
current_dir="<spec-dir>"
while [ "$current_dir" != "/" ]; do
  if [ -f "$current_dir/tspconfig.yaml" ]; then
    echo "Found: $current_dir/tspconfig.yaml"
    break
  fi
  current_dir=$(dirname "$current_dir")
done

Step 3: Extract Python emitter options from tspconfig.yaml

Parse the tspconfig.yaml and extract the options block for the Python emitter. The emitter may appear under either name:

FlavorEmitter key in tspconfig.yaml
Branded@azure-tools/typespec-python
Unbranded@typespec/http-client-python

Important cross-flavor rule: If the user requests a different flavor than what's in the tspconfig, carry over ALL options from the tspconfig's Python emitter block. For example:

  • tspconfig has options under @azure-tools/typespec-python but user wants unbranded → use all those options, but emit under @typespec/http-client-python
  • tspconfig has options under @typespec/http-client-python but user wants branded → use all those options, but emit under @azure-tools/typespec-python

If no Python emitter options exist in the tspconfig at all, ask the user for:

  • emitter-output-dir (required — where to write the generated code)
  • package-name (required)
  • namespace (optional — omit to let @clientNamespace decorators resolve naturally)

Step 4: Determine the flavor

Use this precedence:

  1. If the user explicitly stated azure or unbranded, use that.
  2. If the tspconfig has a flavor option set, mention it to the user and confirm.
  3. If the tspconfig only has one Python emitter key, infer:
    • @azure-tools/typespec-python → azure
    • @typespec/http-client-python → unbranded
  4. If still ambiguous, ask the user:

    "Should I generate as branded (azure flavor) or unbranded?"

Step 5: Find the TypeSpec compiler

Look for the tsp CLI in the spec repo's node_modules:

# Check spec repo root for compiler
< spec-repo-root > /node_modules/@typespec/compiler/cmd/tsp.js

If not found, fall back to the global tsp command, or check the typespec monorepo's compiler:

~/Desktop/github/typespec/packages/compiler/cmd/tsp.js

Step 6: Construct and run the compile command

Build the tsp compile command using:

  • Entry point: The resolved .tsp file from Step 1
  • --emit: Always the local emitter path: ~/Desktop/github/typespec/packages/http-client-python
  • --option flags: One for each option from the tspconfig, prefixed with the local emitter name @typespec/http-client-python (regardless of what the tspconfig called it). Any additional options provided by the user are appended last and override tspconfig values if there's a conflict.

Template:

< tsp-cli-path > compile < entry-point.tsp > --emit ~/Desktop/github/typespec/packages/http-client-python \
  --option "@typespec/http-client-python.<key1>=<value1>" \
  --option "@typespec/http-client-python.<key2>=<value2>" \
  ...

Option mapping rules:

tspconfig keyCLI --option keyNotes
emitter-output-diremitter-output-dirResolve {output-dir}, {service-dir} variables
package-modepackage-modeUsually dataplane or mgmt
package-namepackage-name
namespacenamespaceOmit if not in tspconfig — see note below
api-versionapi-version
flavorflavorSet to azure for branded, omit for unbranded
generate-testgenerate-test
generate-samplegenerate-sample
models-modemodels-modee.g., dpg, msrest, typeddict
Any other optionPass through as-is

Namespace note: Do NOT pass --namespace unless it is explicitly set in the tspconfig or by the user. When omitted, the emitter lets TCGC resolve @clientNamespace decorators correctly. Passing a namespace when @clientNamespace is used in the spec can cause incorrect directory nesting.

emitter-output-dir: Always use the value provided by the user (Input #3). Ignore the emitter-output-dir from the tspconfig — it typically contains unresolvable template variables like {output-dir} and {service-dir}.

Step 7: Run the compilation

cd <spec-directory>
<constructed-compile-command>

Set a timeout of at least 180 seconds — compilation can take a few minutes.

Check the output:

  • Warnings only → success
  • Errors → report to the user with the full error output

Step 8: Verify and clean up

After successful compilation:

  1. Show the generated directory structure:

    find < output-dir > -type d | sort
    
  2. Verify the output matches expectations (e.g., TypedDict if models-mode=typeddict).

  3. If the generation overwrote files in an existing package, warn the user and offer to revert non-generated files:

    cd <sdk-repo>
    git diff --name-status <package-dir>/ | grep -v "<expected-generated-path>"
    

Notes

The --namespace trap

When a TypeSpec uses @clientNamespace to map types into a different namespace, TCGC resolves the namespace. If you also pass --namespace, TCGC tries to replace the root of the @clientNamespace value with the flag, which can produce doubled prefixes like azure.azure.ai.projects.... Only pass --namespace when the tspconfig explicitly sets it.

Branded vs unbranded emitter names

The local emitter is always @typespec/http-client-python on the CLI --emit and --option flags. The flavor option controls branded behavior:

  • Branded: --option "@typespec/http-client-python.flavor=azure"
  • Unbranded: omit the flavor option entirely

Common additional options the user may request

User requestOption to add
TypedDict only--option "@typespec/http-client-python.models-mode=typeddict"
No tests--option "@typespec/http-client-python.generate-test=false"
No samples--option "@typespec/http-client-python.generate-sample=false"